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1,034 results on '"Konar A"'

1. Graph Matching Via the Lens of Supermodularity

Author: Aritra Konar and Nicholas D. Sidiropoulos
Subjects: Optics, Computational Theory and Mathematics, business.industry, Computer science, Lens (geology), business, Computer Science Applications, Information Systems
Published: 2022

2. Systemic deficiency of vitronectin is associated with aortic inflammation and plaque progression in ApoE‐Knockout mice

Author: Vivek Chander, Ulaganathan Mabalirajan, Aditya Konar, Devasmita Chakravarty, Aleepta Guha Ray, Bishnu Prasad Sinha, Prakash Chandra Mondal, Khawer N. Siddiqui, and Arun Bandyopadhyay
Subjects: Apolipoprotein E, Cancer Research, Pathology, medicine.medical_specialty, Endothelium, endothelium, Physiology, QH301-705.5, Plaque progression, Inflammation, Biochemistry, Genetics and Molecular Biology (miscellaneous), plaque, chemistry.chemical_compound, Medicine, Biology (General), biology, business.industry, Cholesterol, cholesterol, medicine.anatomical_structure, chemistry, inflammation, Knockout mouse, biology.protein, Molecular Medicine, Vitronectin, medicine.symptom, atherosclerosis, business
Abstract: Optimal cell spreading and interplay of vascular smooth muscle cells (VSMC), inflammatory cells, and cell adhesion molecules (CAM) are critical for progressive atherosclerosis and cardiovascular complications. The role of vitronectin (VTN), a major cell attachment glycoprotein, in the pathogenesis of atherosclerosis remains elusive. In this study, we attempt to examine the pathological role of VTN in arterial plaque progression and inflammation. We found that, relative expression analysis of VTN from the liver of Apolipoprotein E (ApoE) Knockout mice revealed that atherosclerotic progression induced by feeding mice with high cholesterol diet (HCD) causes a significant downregulation of VTN mRNA as well as protein after 60 days. Promoter assay confirmed that cholesterol modulates the expression of VTN by influencing its promoter. Mimicking VTN reduction with siRNA in HCD fed ApoE Knockout mice, accelerated athero‐inflammation with an increase in NF‐kB, ICAM‐1, and VCAM‐1 at the site of the plaque along with upregulation of inflammatory proteins like MCP‐1 and IL‐1β in the plasma. Also, matrix metalloprotease (MMP)‐9 and MMP‐12 expression were increased and collagen content was decreased in the plaque, in VTN deficient condition. This might pose a challenge to plaque integrity. Human subjects with acute coronary syndrome or having risk factors of atherosclerosis have lower levels of VTN compared to healthy controls suggesting a clinical significance of plasma VTN in the pathophysiology of coronary artery disease. We establish that, VTN plays a pivotal role in cholesterol‐driven atherosclerosis and aortic inflammation and might be a useful indicator for atherosclerotic plaque burden and stability.
Published: 2022

3. Synthesis and Clinical Development of Palbociclib: An Overview

Author: Debabrata Konar, Kapil Kumar, Subhabrata Kar, and Saurabh Maru
Subjects: Oncology, medicine.medical_specialty, Pyridines, Receptor, ErbB-2, medicine.medical_treatment, Breast Neoplasms, Palbociclib, 01 natural sciences, Piperazines, Targeted therapy, 03 medical and health sciences, Breast cancer, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, Drug Discovery, medicine, Humans, Protein Kinase Inhibitors, 030304 developmental biology, 0303 health sciences, Fulvestrant, business.industry, Cancer, medicine.disease, Metastatic breast cancer, 0104 chemical sciences, 010404 medicinal & biomolecular chemistry, Receptors, Estrogen, Female, Skin cancer, business, Tamoxifen, medicine.drug
Abstract: Breast cancer is the second most commonly identified cancer in women in the United States after skin cancer. The past few years have seen a substantial increase in breast cancer awareness campaigns and active research in fields of diagnosis and targeted therapy. These factors have led to a better mechanistic understanding of the disease, detection at earlier stages, and a more personalized approach to treatment, ultimately causing a crucial increase in the survival rates after detection. However, with the advances in treatment, cases of patients developing primary resistance and acquired resistance are increasing. Most of the breast cancers which develop resistance to therapy are ER+ and are typically treated with tamoxifen and fulvestrant. These drugs either lower the levels of estrogen or inhibit the receptors for estrogen and prevent the tumor from spreading. Around one-third of women treated with these drugs develop resistance to them, lowering their chances of survival. This has directed the search for newer drug therapies to target advanced breast cancer and resistance. One of these efforts has resulted in the development of Palbociclib, a first in class inhibitor of cyclin dependent kinases 4 and 6 (CDK4 and CDK6), which was granted accelerated approval from the FDA for combination therapy in postmenopausal women with ER+, HER2- metastatic breast cancer. This review is focused on the various aspects of “Palbociclib” including its synthesis, molecular modeling studies, and efficacy and safety profile with data obtained from various clinical trials.
Published: 2022

4. 3D Quantum-inspired Self-supervised Tensor Network for Volumetric Segmentation of Medical Images

Author: Bijaya Ketan Panigrahi, Tapan K. Gandhi, Richard Jiang, Siddhartha Bhattacharyya, and Debanjan Konar
Subjects: 3D-UNet, Volumetric Medical Image Segmentation, QIS-Net, Similarity (geometry), Artificial neural network, business.industry, Computer science, Computer Networks and Communications, Pattern recognition, Quantum computing, Network operations center, Computer Science Applications, Data set, Artificial Intelligence, Tensor (intrinsic definition), Convergence (routing), Segmentation, Artificial intelligence, business, Software, Vox-ResNet, Quantum computer
Abstract: This article introduces a novel shallow 3-D self-supervised tensor neural network in quantum formalism for volumetric segmentation of medical images with merits of obviating training and supervision. The proposed network is referred to as the 3-D quantum-inspired self-supervised tensor neural network (3-D-QNet). The underlying architecture of 3-D-QNet is composed of a trinity of volumetric layers, viz., input, intermediate, and output layers interconnected using an S -connected third-order neighborhood-based topology for voxelwise processing of 3-D medical image data, suitable for semantic segmentation. Each of the volumetric layers contains quantum neurons designated by qubits or quantum bits. The incorporation of tensor decomposition in quantum formalism leads to faster convergence of network operations to preclude the inherent slow convergence problems faced by the classical supervised and self-supervised networks. The segmented volumes are obtained once the network converges. The suggested 3-D-QNet is tailored and tested on the BRATS 2019 Brain MR image dataset and the Liver Tumor Segmentation Challenge (LiTS17) dataset extensively in our experiments. The 3-D-QNet has achieved promising dice similarity (DS) as compared with the time-intensive supervised convolutional neural network (CNN)-based models, such as 3-D-UNet, voxelwise residual network (VoxResNet), Dense-Res-Inception Net (DRINet), and 3-D-ESPNet, thereby showing a potential advantage of our self-supervised shallow network on facilitating semantic segmentation.
Published: 2023

5. The Evolution of 3D Anatomical Models: A Brief Historical Overview

Author: Bharath Raju, Gaurav Gupta, Fareed Jumah, Anmol Nagaraj, Subhas Konar, Anil Nanda, and Pranay Narang
Subjects: Models, Anatomic, Human cadaver, Process (engineering), business.industry, History, 19th Century, Sculpture, History, 20th Century, History, 18th Century, Anatomy education, History, 21st Century, History, Medieval, History, 17th Century, Imaging, Three-Dimensional, History, 16th Century, Printing, Three-Dimensional, Humans, Medicine, Surgery, Engineering ethics, Neurology (clinical), business, History, Ancient, History, 15th Century
Abstract: For thousands of years, anatomical models have served as essential tools in medical instruction. While human dissections have been the regular source of information for medical students for the last few centuries, the scarcity of bodies and the religious and social taboos of previous times made the process of acquiring human cadavers a challenge. The dissection process was dependent on the availability of fresh cadavers and thus was met with a major time constraint; with poor preservation techniques, decomposition turned the process of employing bodies for instruction into a race against time. However, the advent of anatomical models has countered this issue by supplying accurate anatomical detail in a physical, three-dimensional form superior to that of the two-dimensional illustrations previously used as the primary adjunct to dissection. Artists worked with physicians and anatomists to prepare these models, creating an interdisciplinary interaction that advanced anatomical instruction at a tremendous rate. These models have taken the form of metal, wood, ivory, wax, papier-mâché, plaster, and plastic and have ultimately evolved into computerized and digital representations currently. We provide a brief historical overview of the evolution of anatomical models from a unique neuroanatomical perspective.
Published: 2021

6. Silk® Flow Diverter Device for Intracranial Aneurysm Treatment: A Systematic Review and Meta-Analysis

Author: Tariq Janjua, Luis Rafael Moscote-Salazar, Ezequiel Garcia-Ballestas, Subhas Konar, Gabriel Alexander Quiñones-Ossa, William A Florez, and Amit Agrawal
Subjects: Medicine (General), medicine.medical_specialty, business.industry, Mortality rate, Glasgow Outcome Scale, Neurosurgery, Neurosciences. Biological psychiatry. Neuropsychiatry, Review, Intracranial aneurysm, medicine.disease, Aneurysm, Confidence interval, Surgery, R5-920, Meta-analysis, Occlusion, medicine, Neurosurgical procedures, business, Cerebrovascular circulation, RC321-571, Cohort study
Abstract: Flow diverters have become a critical instrument for complex aneurysms treatment. However, limited data are currently available regarding short and long-term outcomes for the Silk flow diverter. The objective of the study is to determine neurological prognosis and mortality rates for the Silk flow diversion device used in intracranial aneurysms. A systematic review with meta-analysis was performed using databases. The following descriptors were used for the search: “SILK”, “Flow Diverter”, “Mortality”, and “Prognosis”. The following data were extracted: mortality, good functional outcome, Glasgow outcome scale, complete or near-complete occlusion rates, rate of retreatment, and complications (thromboembolic and hemorrhagic complications). A total of 14 studies were selected. Among the 14 studies, 13 were retrospective observational cohort studies and 1 was a prospective observational cohort study. The mortality rate was 2.84%. The clinical good outcomes rate was 93.3%. The poor outcome rate was 6.6%. The overall thromboembolic complication rate was 6.06% (95% confidence interval [CI] 0.00–6.37, P=0.12, I2=3.13%). The total hemorrhagic complication rate was 1.62% (95% CI 0.00–5.34, P=0.28, I2=1.56%). The complete aneurysm occlusion rate was 80.4% (95% CI 8.65–9.38, P
Published: 2021

7. Obesity Impairs Enthesis Healing After Rotator Cuff Repair in a Rat Model

Author: Young-Eun Park, Mark H. Vickers, Josh Workman, Brendan Coleman, Scott M. Bolam, A Paul Monk, Jillian Cornish, Jacob T. Munro, Subhajit Konar, Karen E. Callon, and David S. Musson
Subjects: Male, medicine.medical_specialty, Rat model, Physical Therapy, Sports Therapy and Rehabilitation, Overweight, Rotator Cuff Injuries, Rats, Sprague-Dawley, Rotator Cuff, Animal model, medicine, Animals, Humans, Orthopedics and Sports Medicine, Rotator cuff, Obesity, Wound Healing, business.industry, Enthesis, medicine.disease, Biomechanical Phenomena, Rats, Surgery, medicine.anatomical_structure, Increased risk, medicine.symptom, business
Abstract: Background: Being overweight or obese is associated with poor outcomes and an increased risk of failure after rotator cuff (RC) surgery. However, the effect of obesity on enthesis healing has not been well characterized. Hypotheses: Diet-induced obesity (DIO) would result in inferior enthesis healing in a rat model of RC repair, and a dietary intervention in the perioperative period would improve enthesis healing. Study Design: Controlled laboratory study. Methods: Male Sprague-Dawley rats were divided into 3 weight-matched groups (n = 26 per group): control diet (CD), high-fat diet (HFD), or HFD until surgery and then CD thereafter (HF-CD). After 12 weeks, the left supraspinatus tendon was detached, followed by immediate repair. Animals were sacrificed, and RCs were harvested at 2 and 12 weeks after surgery for biomechanical and histological evaluations. Metabolic end points were assessed using dual-energy X-ray absorptiometry and plasma analyses. Results: DIO was established in the HFD and HF-CD groups before surgery and subsequently reversed in the HF-CD group after surgery. At 12 weeks after surgery, the body fat percentage ( P = .0021) and plasma leptin concentration ( P = .0025) were higher in the HFD group compared with the CD group. Histologically, the appearance of the repaired entheses was poorer in both the HFD and HF-CD groups compared with the CD group at 12 weeks after surgery, with semiquantitative scores of 6.20 ( P = .0078), 4.98 ( P = .0003), and 8.68 of 15, respectively. The repaired entheses in the HF-CD group had a significantly lower load to failure ( P = .0278) at 12 weeks after surgery compared with the CD group, while the load to failure in the HFD group was low but not significantly different ( P = .0960). There were no differences in the biomechanical and histological results between the groups at 2 weeks after surgery. Body mass at the time of surgery, plasma leptin concentration, and body fat percentage were negatively correlated with histology scores and plasma leptin concentration was correlated with load to failure at 12 weeks after surgery. Conclusion: DIO impaired enthesis healing in this rat RC repair model, with inferior biomechanical and histological outcomes. Restoring a normal weight with dietary changes after surgery did not improve healing outcomes. Clinical Relevance: Obesity is a potentially modifiable factor that impairs RC healing and increases the risk of failure after surgery. Exploring interventions that improve the metabolic state of obese patients and counseling patients appropriately about their modest expectations after repair should be considered.
Published: 2021

8. Passive acoustic monitoring of killer whales (Orcinus orca) reveals year-round distribution and residency patterns in the Gulf of Alaska

Author: Craig O. Matkin, Daniel W. Olsen, Lara Horstmann, Brenda Konar, and Hannah J. Myers
Subjects: Oceans and Seas, Science, Population Dynamics, Transducers, Population, Foraging, Distribution (economics), Article, Species Specificity, biology.animal, Animals, Marine ecosystem, education, Apex predator, Ecotype, Marine biology, education.field_of_study, Multidisciplinary, Geography, biology, Conservation biology, Whale, business.industry, Acoustics, Oceanography, Echolocation, Marine mammals, Regression Analysis, Medicine, Submarine pipeline, Seasons, Whale, Killer, Vocalization, Animal, business, Bay, Alaska, Environmental Monitoring
Abstract: Killer whales (Orcinus orca) are top predators throughout the world’s oceans. In the North Pacific, the species is divided into three ecotypes—resident (fish-eating), transient (mammal-eating), and offshore (largely shark-eating)—that are genetically and acoustically distinct and have unique roles in the marine ecosystem. In this study, we examined the year-round distribution of killer whales in the northern Gulf of Alaska from 2016 to 2020 using passive acoustic monitoring. We further described the daily acoustic residency patterns of three killer whale populations (southern Alaska residents, Gulf of Alaska transients, and AT1 transients) for one year of these data. Highest year-round acoustic presence occurred in Montague Strait, with strong seasonal patterns in Hinchinbrook Entrance and Resurrection Bay. Daily acoustic residency times for the southern Alaska residents paralleled seasonal distribution patterns. The majority of Gulf of Alaska transient detections occurred in Hinchinbrook Entrance in spring. The depleted AT1 transient killer whale population was most often identified in Montague Strait. Passive acoustic monitoring revealed that both resident and transient killer whales used these areas much more extensively than previously known and provided novel insights into high use locations and times for each population. These results may be driven by seasonal foraging opportunities and social factors and have management implications for this species.
Published: 2021

9. Paediatric chronic subdural haematoma: what are the predisposing factors and outcomes in management of these cases?

Author: Ajit Mishra, Abhinith Shashidhar, Harsh Deora, Srinivas Dwarakanath, Vikas Vazhayil, Rahul Gupta, and Subhas Konar
Subjects: Male, Child abuse, medicine.medical_specialty, Pediatrics, Birth trauma, Disease, Hematoma, Chronic subdural hematoma, medicine, Coagulopathy, Humans, Child, Aged, Retrospective Studies, business.industry, Incidence, Incidence (epidemiology), Infant, General Medicine, medicine.disease, Causality, Hematoma, Subdural, Chronic, Pediatrics, Perinatology and Child Health, Drainage, Female, Neurology (clinical), Neurosurgery, business
Abstract: Chronic subdural hematoma (cSDH) is a disease of the elderly population. Incidence in paediatric population is relatively uncommon. Child abuse, birth trauma, coagulopathy and shunt surgeries represent major causes. Major impact of the disease on life of patient due to recurrence and repeat surgical procedure is significant, not to mention the burden on health care system. We retrospectively reviewed our institute data for chronic sub-dural cases for the past 10 years (2008–2018) and collected data on the demography, clinical features, metabolic workup, mode of treatment, recurrence rates, predisposing factors, laterality, hematoma characteristics and factors associated with recurrence in all cases with less than or equal to 18 years of age. A total of 30 such cases were found in a period of 10 years (2008–2018). The mean patient age was 7.3 years (range 2 months–17 years), with 20 males (66.67%) and 10 females (33.33%). Raised intracranial pressure (n = 9) was the commonest presenting symptom in 30% of cases followed by seizures in 26.67% (n = 8). The previous shunt was the commonest predisposing factor seen in 43.33% (n = 13). cSDHs were unilateral in 56.67% cases (n = 17) and bilateral in 43.33% (n = 13). Burr hole craniostomy was done in 27 cases (90%), and conservative management was done in three cases (10%). Follow up was available for 27 cases (90%) with a mean follow up duration of 24 months. Recurrence rate was 30% (n = 9). Shunt surgery contributed to 77% of bilateral disease (p = 0.009). Child abuse was not reported in our series. Presence of paediatric cSDH is alarming, and the physician should be alerted to look for underlying cause and rule out child abuse. Detailed metabolic, skeletal workup is required. Treatment of primary pathology should be the goal as CSF diversion is not the solution to all problems, but can definitely be the cause of all the problems.
Published: 2021

10. Risk factors for COVID-19-related in-hospital mortality in a high HIV and tuberculosis prevalence setting in South Africa: a cohort study

Author: Waasila Jassat, Cheryl Cohen, Stefano Tempia, Maureen Masha, Susan Goldstein, Tendesayi Kufa, Pelagia Murangandi, Dana Savulescu, Sibongile Walaza, Jamy-Lee Bam, Mary-Ann Davies, Hans W Prozesky, Jonathan Naude, Ayanda T Mnguni, Charlene A Lawrence, Hlengani T Mathema, Jarrod Zamparini, John Black, Ruchika Mehta, Arifa Parker, Perpetual Chikobvu, Halima Dawood, Ntshengedzeni Muvhango, Riaan Strydom, Tsholofelo Adelekan, Bhekizizwe Mdlovu, Nirvasha Moodley, Eunice L Namavhandu, Paul Rheeder, Jacqueline Venturas, Nombulelo Magula, Lucille Blumberg, Shaina Abdullah, Fiona Abrahams, Vincentius Adams, Fhima Adnane, Sonia Adoni, Dieketso Melitta Adoons, Veronique Africa, D Aguinaga, Susan Akach, Prisha Alakram Khelawon, George Aldrich, Olatunde Alesinloye, Mathale Biniki Aletta, Mametja Alice, Tebogo Aphane, Moherndran Archary, Felicity Arends, Shireen Arends, Munonde Aser, T Asmal, Mohammed Asvat, Theunis Avenant, Muvhali Avhazwivhoni, Magnolia Azuike, Johanna Baartman, Dlava Babalwa, Johan Badenhorst, Miranda Badenhorst, Bianca Badripersad, Lalihla Badul, M Bagananeng, Mncedisi Bahle, Liezl Balfour, T C Baloyi, S Baloyi, Tinyiko Baloyi, Tshepo Mpho Baloyi, Thokozani Banda, Shimon Barit, Nicole Bartsch, Junaid Bayat, Siyabulela Bazana, Marlene Beetge, Nosindiso Bekapezulu, Rammala Belebele, Phala Bella, Zanenkululeko Belot, Lindi Gladys Bembe, Sonja Bensch, Gishma Beukes, Karla Bezuidenhout, Themba Bhembe, N A Bikisha, Ben Bilenge, Leesa Bishop, Baphamandla Biyela, Cyntheola Blaauw, Mark Blaylock, Nicola Bodley, Power Bogale, Sibongile Bokolo, Stefan Bolon, Mary Booysen, Eldereze Booysen, Lia Boretti, Paula Borges, Millicent Boshoga, Natasha Bosman, Lucinda Bosvark, Nicky Botes, Adele Botha, Chantall Botha, Jana Botha, Chantall botha, Mandlakayise Irvin Botha, Alet Botha, Janet Bradbury, Zandisile Breakfast, Maria Breed, Molele Brenda, Moshito Brice, Jolene Britz, Amanda Brown, T Buchanan, Thozama Bucwa, Crystelle Burger, Ziyanda Busakwe, Nosiviwe Bushula, Zinhle Buthelezi, Dumsile Buthelezi, Thubelihle Buthelezi, Mpumelelo Basil Buthelezi, Fundiswa Lidwina Buthelezi, Nadia Bux, Christoff Buys, Anneline Buys, Ernestina Caka, Armando Sanchez Canal, Sithole Caroline, Monrick Casper, Shannon Cawood, Oratile Cebisa, Nothando Cele, Sboniso Cele, Sthembile Goodness Cele, Mkhacani Chauke, Pinkie Chauke, Nevil Chelin, Xiaohui Chen, Venmalla Chetty, Kerisse Chetty, Christinah Cheu, Vindana Chibabhai, Takudzwa Chirima, Mantwa ChisaleMabotja, Charity Chivenge, Ngoasheng Choene, Mbali Nosisa Choko, Martin Choshi, Sabbir Chowdhury, Anastacia Christoforou, S L S Chuene, T S Chueu, Dale Cilliers, Vanessa Cilliers, Marcel Claassen, Jeané Cloete, Chantelle Coelho, Carol Coetzee, Hans Jurgens Coetzee, Christine Coetzee, Marelize Coetzee, Dane Coetzer, Sizwe Coka, M Colane, Herkulaas Combrink, Songezo Conjwa, Colleen Contrad, Faith Cornelissen, Leezelle Cronje, Christine Crouse, Tshidi Dabi, Ziyanda Dandala, Ziyaad Dangor, Gildenhuys Daniel, Ngwana Daniel, Alfred Daumas, Madelein Dauth, Mongalo David, Wayne Davids, Nozuko Daweti, Wandisa Dayile, B De Bruin, Karin De Klerk, Tanya De la Rosa, Marice de Nysschen, Marie De vos, Darien De Wet, Mohith Debising, Darshan Deenadayalu, Babalwa Dekeda, Mofokeng Desiree, Annelise Deysel, Abram Dhlamini, Makgethwa Dhlala Diala, Mathapelo Diale, Bella Diketane, Nosisa Dingani, Siyabonga Diniso, Lesego Diphatse, Anele Diya, Zihloniphile Dladla, Nompumelelo Dladla, Mlungisi Dladla, Patience Dladla, Baphilie Dlamini, Nonhlanhla Dlamini, Linda Dlamini, Nonzwakazi Dlamini, Wendy Dlamini, Ncomeka Dlamini, Siyabonga Dlamini, Nicodemus Dlamini, Lebohang Dlamini, Motshedise Dlamini, Babalwa Christine Dlava, Phikiwe Dlova, Lindiwe Dlozi, Maenetja Doreen, Vumile Doyi, Athini Doyi, Belinda Du Plessis, Johanna Aletta du Plessis, Eddie du Plessis, Nicolette du Plessis, Karin du Plessis, Briette du Toit, Narissa du Toit, Jabulile Dube, Athayanda Dubula, Msomi Duduzile, Sechaba Duiker, Unati Bongile Duma, Kholiwe Duma, Kella Dunne, Kholeka Dyantyi, Avile Dyantyi, Simphiwe Dyasi, Chauke Dyondzo, Phelisa Dyubhele, B J Dywili, Letitia Edwards, Madie Eksteen, Tersia Ellis, Tia Ellis, Glenda Emmerson, Theusia Enslin, Odimula Epule, Lana Erasmus, Mathonsi Erick, Lerato Etsane, Shimange Eunice, Zanele Fani, Mariette Ferreira, K L Finger-Motsepe, Fabion Floris, Tseko Fobo, Keresemetse Fokotsane, Duduzile Emmelda Fokwana, Genevieve Marion Fords, Juanita Fortein, Christine Fouche, Rulandi Fourie, Andrew Frean, Ludwig Fredericks, Wandile Funda, kabelo funjwa, Martha Futhane, Amanda Futuse, Dora Gabaediwe, Nonhlanhla Gabuza, Janycke Galant, Zanele Gama, Thobile Gano, Emma Cora Gardiner, Henri Gastrow, Kelly Gate, Ben Gaunt, Rikhotso Gavaza, Thapelo Gayi, Nkosinathi Gcakasi, Nomusa Gcobo, Leon Geffen, S Geldenhuys, Jenny George, Martha Gerber, Zolisa Getyengana, Nkululo Gigi, Radha Gihwala, Mitchell Gilliland, Zandile Gloria, Elitia Glover, Ellen Gokailemang, Suseth Goosen, Maria Gopane, Thandazile Gosa-Lufuta, Bernadett Gosnell, Sharleen Gouws, Christina Govender, Raksha Govender, Pearl Govender, Sally Govender, Roxanne Govender, K Govender, Savie Govender, Rashika Govinden, Luphumlo Gqabuza, Nomthandazo Gqaji, Maneo Gqetywa, Caroline Green, Nathan Green, Neera Green, Hendrik Grobler, Pamela Groenwald, Daniel Grootboom, Beatrice Gumede, Nomonde Gumede, Simphiwe Gumede, Slindile Gumede, Ntombikayise Gumede, Zenande Gumede, Thandiswa Gxotiwe, Makhubela H L, Nonhlanhla Hadebe, Skhumbuzo Hadebe, Christos Halkas, Ansie Hamer, Ebrahim Hamida, Juan Hammond, Sumayia Haniff, Annelise Hare, lorinda Hattingh, Thenjiwe Hendricks, Philip-George Henecke, Brends Henly-Smith, Glynis Herselman, Ansie Heymans, Chantel Heyns, Golekane Hlabahlaba, Lucky Hlabangwane, Simango Hlamarisa, Ntokozo Hlanzi, Hlengiwe Hlela, Katlego Hlokwe, Thembinkosi Hlongwa, Anele Hlongwana, Themba Hlubi, Tozama Hobo, Nare Nathaniel Hopane, Mariska House, Catharina Hudson, Marinda Huysamen, Jezreen Indheren, Samantha Ingle, Gavin Isaacs, T S Thekiso Isaacs, Maringa Itumeleng, Karien J van Rensburg, Saloshni Jackson, Neziswa Jacob, Burton Jacobs, Tshireletso Jacobs, Gugulethu Jacobs, Mesadi Jaftha, Zimkhitha Jaji, Sibusiso Jali, Gcobisa James, Gillian January, Andiswa Jeke, Laurent Jeremiah, L S Jeremiah, Mubeen Jhetam, Maureen John, Chuene John, Thandiwe Jola, Yolande Jonas, Anovick Jonas, Amilcar Juggernath, Eileen Kaba, Venetia Kabo, Disebo Kadi, Karabo Kaizer, Moshaya Peter Kambule, Lorraine Kapp, Tshepo Kau, Nchabeleng Keneth, O Kgabi, Tebogo Audrey Kgafela, Vincent Kgakgadi, Isabella Kgaswe, Tsholofelo Kgathlane, Vuyelwa Julia Kgetha, Mmaselloane Kgomojoo, B Kgoro, Christinah Kgosiemang, Gloria Kgosiencho, Stephen Khambula, Ariffa Khan, Refemetswe Khanare, Ncamsile Khanyase, Nokwethemba Khanyile, Fillip Kharatsi, Simangele Khawula, Themba Khohlakala, Letitia Khomo, Isabel Khoza, Sinethemba Khoza, Nombulelo Khukule, Busisiwe Khumalo, Tracy Khumalo, Zinhle khumalo, Vuyelwa Khumalo, Delisile Khumalo, Lebohang Khumalo, Boitumelo Khumalo, Thuli Khumalo, Gugu Khumalo, Bongiwe Khuzwayo, Thembhelihle Khuzwayo, Hennie Kidson, Jesne Kistan, Gugu Klaas, Marilyn Klassen, Josehine Koeberg, Marizel Koen, Simphiwe Koena, Ina Kok, Imraan Kola, Karabo Kolokoto, Ramachandra Konar, Dr Kotsedi, Jaline Kotze, Martins Koupis, Helen Kritzinger, Marlize Kruger, Henk Kruger, Tlangelani Kubayi, Thabisile Kubeka, Nonjabulo Kubheka, Melusi Kubheka, Sibusiso Clifford Kubheka, Erol Kubheka, Monica Kumalo, Thulani Kunene, Siphilile Candy Kunene, Yvette Kunneke, R P Kupa, Rachel Kutama, Nompumelelo Kwakwazi, Lwanele Kweyama, Maureen Labuschagne, Marina Labuschagne, Prabha Lakshman, Lungelo Lamani, Thembela Lamani, Naomi Langa, Khangelani Langeni, Aphelele Langeni, Nwabisa Hazel Langeni, Gena Langeveldt, Anchen Laubscher, Laetitia Le Roux, Magagane Leah, Collen Lebea, Sello Lebea, Viyella Phumla Cynthia Lebenya, Lorraine Lebogang, P K Leboho, Chantel Lee, Kelebogile Rejoice Lefakane, Zandile Legoabe, Patrick Lekala, Motsitsi Lekhoaba, Tanki Shadrack Lekunutu, Galaletsang Lerefolo, N Letebele, Tsepo Patric Lethoba, Emission Letlalo, Ofentse Letlhage, D S V Letshufi, Dineo Fiona Letsoalo, Seleka Jones Letsoalo, Pennelope Letsoalo, Getrude Letwaba, Sobekwa Linda, Katleho Lipholo, Sabata Litabe, Harsha Lochan, Linda Lomax, Francina Lombaard, Elmarie Loots, Ariana Lourens, Celeste Louw, Rianna Louw, Zikhona Lubambo, Msebenzi Moises Lubambo, Gregory Ludada, Michael Lukas, Thembela Lungu, Nomvume Lupindo, Emmah Lusenga, Happiness Luthuli, Zoleka Sylvia Luvuno, Gwangwa M H, Mustafa Maarman, Buyisiwe Mabaso, Cynthia Mabaso, Morena Mabitle, Grace Mabogoane, Kgakgamatso Mabone, Rueben Mabuza, Velaphi Mabuza, Mogantla Madiseng, Thobile Madlala, Mashooase Madolo, Thabiso Madonsela, Lesetsa Madubanya, Amukelani Maepa, Namhla Mafumana, Caroline Mafumo, Pumeza Magadla, Viscah Magale, Nompumelelo Magaqa, Oberholzer Magda, Rakgoale Magdeline, Tswai Maggie, Bongeka Maginxa, Cathrine Maite Magoba, Caroline Magongwa, Agretia Magubane, Agretia Ntombizodwa Magubane, R Magwai, D I Mahabane, Padmini Mahabeer, Elsie Mahadulula, Lungiswa Mahanjana, Amy Maharaj, Qedusiza Mahlambi, Yvonne Mahlangu, Lerato Mahlangu, Ntombifikile Mahlangu, Makhosazana Mahlangu, Mahlatsi Mahlangu, Penelope Mahlasela, Thosago Mahlatse, Regina Mahlobo, Dikhing Mahole, Adam Mahomed, Mapeu Debora Mahubane, Peter Mahume, Lehlogonolo Maifo, Vincent Maimane, Petunia Maimele, Phakoe Maine, Patricia Senyanyathi Mainongwane, Nomalungisa Majamani, Amahle Majozini, Noluthando Makalima, Nomfundo Makam, Khanyisa Makamba, R Makan, Mashiane Makarapa, Malesela Makgahlela, Mogoiwa David Makgisa, Makgoba Makgomo, M A Makgopa, Mabone Makhalema, Lindokuhle Lizo Makhanya, Philile Valentia Makhanya, Tolerance Makharaedzha, Nathi Makhathini, Elizabeth Makhesi, Cinile Makhubela, Nkululeko Freedom Makhunga, Nomalinge Makhupula, R R Makhura, Rangwato Makola, Zingisa Makuba, Asanda Makubalo, Lonwabo Makumsha, George Makuya, Levy Mmachuene Malaka, Themba Malangeni, M L Malatji, Pelonomi Malebana-Metsing, Malek Malek, Luthando Malevu, Juanita Malgas, Dimakatso Malgas, Paul Makgasane Malope, Monyeki Malose, Katekani Maluleke, Kato Mambane, Nthabiseng Mamorobela, Kukami Manamela, Tshepo Manana, Sathiel Maneto, Aron Kabelo Manganye, Pheto Mangena, Anna Mangoale, Tinotenda Florence Mangozho, Pariva Manickchund, Zandisile Mankayi, Arthur Manning, Kelebogile Manyaapelo Manyaapelo, Tabea Manyane, Zoliswa Manzana, Milton Manzini, Busisiwe Mapasa-Dube, Siboniso Maphumulo, Ntombifuthi Maphumulo, Sindy Maponya, Khomotso Mumsy Maponya, Napjadi Maponya, Lami Maqubela, Lizeka Maqubela, Vuyo Maqungo, Marisa Marais, Chantal Marais, Nondumiso Maramba, Annelize Mare, Madumetsa Maredi, Afikile Martins, Johanna Marule, Refilwe Marumo, N N Masakona, Kedibone Vincentia Masehla, Eric Maseko, Tshilidzi Maselesele, Mojalefa Maselo, M Maseloa, M E Masemola, Thembi Masemola, Bella Mashaba, James Mashangwane, Mantebele Mashao, Shalom Mashego, Lerato Mashele, Ester Mashiane, Joyce Mashibini, J Mashilo, Tumi Mashiloane, Charity Mashishi, Ngazibini Mashiyi, Khomola Mashudu, Aluwani Masindi, Caroline Maslo, Nduduzo Masondo, Dumisile Masuku, Cry Matamela, Mirriam Matandela, Nontokozo Mathabela, T Mathabi, Keitumetse Mathe, Mathabo Mathebula, Catherine Mathebula, Mdungazi Andres Mathebula, Nqobizwe Mathenjwa, Jane Mathibe, Lebohang Mathibela, Makwela Mathilda, Khakhu Mathiva, Mokgadi Alinah Mathobela, Fikile Pearl Mathonsi, K P Mathonsi, Katlego Mathosa, Noluvo Matiwane, Emma Matjeke, Bella Matjiane, Thabang Matjila, Chidi Matlala, Petlo Matome, Nolusindiso Matoti, C Matseliso, Dineo Matsemela, Phumeza Matsha, Gaalebale Prudence Matshediso, Motsumi Matshediso, Esther Matshela, Bongeka Mavuma, Pearl Mavundla, Nomthandazo Mavuso, Lovender Mawasha, Rebecca Mawelela, Nelisiwe Mazibuko, Phumlani Mazibuko, Lindiwe Mazubane, Bavumile Mbanjwa, Ayanda Mbasa, Nosimilo Mbatha, Zanele Mbatha, Rudolph Zenzele Mbatha, Gift Mbedzi, Tatenda Trevor Mbizi, Khumbulani Mbonambi, Nondumiso Mboniswa, Nomfanelo Mbonisweni, Jody Mbuilu, Siyabonga Mbulawa, Zama Mbutho, Natasha Mbuzi, Nonkululeko Mchunu, Cyprian Mchunu, Nokuzola Mchunu, Masesi Thandeka Mchunu, Vuyokazi Mciteka, Solly Mdaka, Neho Mdakane, Siyabonga Mdediswa, Melusi Mdima, Nozipho Mdima Masondo, Siviwe Mdindana, Ntombizikhona Mdleleni, Sibusiso Mdletshe, Gcobisa Precious Mdoda, Ntombi Mdolo, Anele Mdontsane, Ruchikas Mehta, Philile Rittah Memela, Masande Methuse, Keatlaretse Metshile, Pheliswa Metuse, Anton Meyer, Gavin Meyer, Cameron Meyer, Sisonke Mfazwe, Andiswa Mfecane, Bongeka Mfecane, Nelisiwe Mfeka, Busisiwe Mgaga, Thandiwe Portia Mgauli, Thembekile Mgedezi, Vuyokazi Mgedezi, Kalipile Mgevane, Bongni Mgiba, Babalwa Mgoduka, Patrick Mhlaba, Zeldah Mhlaba, Ntombizodwa Mhlanga, Vangile Mhlinza, Nokuthula Mhlongo, sibongiseni Mhlongo, Unamandla Mhlotshana, Mabaso Mikateko, Helena Minnie, Karen Mintoor, Bongi Miyeni, Mabelane M J, Rosy Mjethu, Gloria Mkhize, Mvuselelo Mkhize, Ntokozo Siyabonga Mkhize, Victoria Mkhize, Nomkhosi Mkhize, Nokuthula Mkhize, Mathini Mkhwanazi, Nolwandle Mkile, Kholofelo Mkise, Nokwandiso Mkiya, Pearl Mkongi, Mnonopheli Mkungeka, Hlomile Mlahleki, Nolukholo Mlibali, Sakhumzi Mlungwana, Jonas Mmachele, Mashatole Mmateka, Molebatsi Mmokwa, Thembisa Mmutlane, Zanele Olive Mndebele, Nonhlanhla Mngomezulu, Noluthando Millicent Mnguni, Pumza Mngunyana, Nomxolisi Mngunyana, Ntombebongo Mngxekeza, Zenzele Mnisi, Hlengiwe Precious Mnqayi, Phumzile Mnqayi, Thabiso Mntungwa, Siya Mnyaka, Ntombikayise Mnyakeni, Vuyani Mnyamana, Nomzingisi Mnyipika, Koena Moabelo, Mmakgoshi Alseria Moatshe, Jennifer Mochaki-Senoge, Sharon Moche, Tebello Mocwagae, Koeikantse Modibane, Tebogo godfrey Modimoeng, Obakeng Modisa, Itumeleng Modisane, Olebogeng Modise, Makaepeaa Flovia Modjadji, Sharon Modupe, Maja Moeketsi, Ntswaki Moeketsi, Kereditse Kingsley Moeng, Naledi Nthabiseng Mofamere, Samuel Mofokeng, Thabo Mofokeng, Jonas Mofomme, Vicky Mogakane, Lehlohonolo Mogale, Audrey Mogapi, Thomas Mogashoa, Mphaka James Mogatla, Kgaladi Mogoale, Dikeledi Maggie Mohajane, Nkuba Mohapi, Mthoamihla Mohatsela, Irene Mohlala, Daphney Mohlala, Mpho Mohlamonyane, Bonolo Millord Mohutsiwa, Selemela Moipone, Tshepang Moisi, Nelly Mojalefa, Vuyo Moji, Buhle Mokangwana, Matloa Mokgabo, Manaka Mokgaetji, Jane Mokgaotsi, Neo Theodore Mokgoro, Thalitha Mokhatla, Lerato Lovedalia Mokhele, Sheila Mokhema, Mamoya Mokoena, Mojalefa Mokoena, Lleka Mokome, Cynthia Mokone, Ipeleng Mokono, Thabiso Mokonyama, Josiah Mokori, Dolores Mokuena, Danny Mokumo, Oddy Mokwena, Kgaogelo Mokwena, Kgantshi Sam Mokwena, Lebogang Mokwene, Thato Elliott Molate, Ditoche Molebalwa, Boingotlo Molefe, Kgopa Stanley Molehe, Kgomotso Moleme, Sarah Moliane, Fanyana Moloi, Retshepile Joseph Molorane, Glenda Tsholanang Molotsi, Lerato Molukanele, Joy Monareng, Thapelo Moncho, Modiadie Monica, Refilwe Monnane, Andile Monqo, Neo Montewa, Kgalalelo Montsioa, Reitumetse Monyaki, Masekhobe Jeanett Monyane, Lipson Monyela, Yudeshan Moodley, Kriesen Moodley, Kaira Moodley, Boitumelo Donald Mooka, Prea Moonsamy, Simmi Moopanar, David Moore, Lineo Mophethe, Tshegohatso Moremedi, Kealeboga Moremong, Nthangeni Morgan, Egma Moripa, Lulamile Morris, Me. A.M. Mosala, Thabo Mosana, Alice Mosase, Yolanda Mose, Maponya Mosehlo, Mothusi Moseki, Mojalefa David Moshabe, D A Moshai, Mbulelo Moshani, Pelisa Moshani, Ledwaba Mosima, Ezrom Mosima, M P Mosoma, Lebohang Motaung, Mokete Motaung, Thozama Charmain Motaung Xhama, Purine Khethiwe Motha, Lerato Motimele, Boitumelo Motimeng, Shirley Motladiile, Otsile Motlhabane, Joshua Motlhamme, Mandla Motloba, Kagiso Motse, Sophia Motshegoa, Edward Moutlana, Irma Mouton, Zanele Moya, Nomonde Moyake, Maja M P, Jenny Mpete, Luamba Meltha Mpfuni, Seputule Mphahlele Mphahlele, Mashadi Mphake, Ephraim Letlhogonolo Mphanya, Mashudu Mphaphuli, Tebogo Chwene Mphela, MS Mpontshane, Thabile Mqotyana, Babalwa Mqungquthu, Noluthando Busane Msane, Malusi Mseleku, Sibusiso Msibi, Mancele Msibi, Thulisile Msibi, Siyabonga Linda Msibi, Clement Nhlanhla Msiza, Lungelo Msomi, Mandlenkosi Mtatambi, Thembisa Mthathambi, December Mthembu, Nhlahla Mthembu, Fezile Mbali Mthembu, Lungiswa Mthembu, Nompumelelo Petunia Mthethwa, Khulekani Mthimkhulu, Lungani Percival Mthuli, Ashley Mthunzi, Xolani Sydney Mtolo, Nomonde Precious Mtolo, Linda Mtshali, Neliswa Mtwa, Fezeka Mtyobile, Kanyisa Mtyobile, Mpfariseni Mudau, Magwabeni Muemeleli, Isaac Mulaudzi, Rebecca Mulaudzi, Mhlelekedzeni Mulaudzi, Dakalo Rejoyce Muligwe, Blessing Muponda, Mmbangiseni Stella Mushadi, M Mushid, Konanani Muthaphuli, J Muthavhine, Mpho Muthika, Samkelisiwe Mvelase, Vusi Mvelase, Laurent Kayumba Mwehu, Thabile Myaka, Magriet myburgh, Zimkhitha Mzamo, Fezeka Mzawuziwa, Mfundo Lunga Mzini, Oscar Mzizana, Ntokozo Mzobe, Thokozile Mzobe, Zamaswazi Mzobe, Mtimkulu Mzwandile, Fathima Naby, Keshnee Naicker, Pregashnie Naicker, Saroja Naicker, Pershen Naicker, Saiyen Virgil Naicker, Ria Naidoo, Sam Naidoo, Mergan Naidoo, Kamalambal Naidoo, Aroomugam Naidoo, Sivuyile Naku, Firdose Nakwa, Masoga Nancy, Rita Nathan, Maritsa Naude, Gcobisa Ncaza, Aviwe Ncaza, Relebohile Ncha, Yanelisa Ncoyini, Snothile Ncube, Mrs Ndaba, Vusumuzi Ndaba, Mmapula Ndaba, Siziwe Ndawonde, Ziphozihle Ndevu, Nonhlanhla Faith Ndhlovu, Simphiwe Ndima, Sindisiwe Ndlela, Thobsile P Ndlela, Nobuhle Ndlovu, Nwabisa Ndlovu, Virginia Dipuo Ndlovu, Sombekhaya Ndlumbini, Khululiwe Nduli, Priscilla Nontokozo Nduli, Michael Ndwambi, Jeremy Nel, Rina Nel, Lizelle Nel, Ntsundeni florah Nemanashi, Usinkhangwe Nyaphophi Nemudivhiso, Joyce Nemutavhanani Nemutavhanani, Jabu Nene, Xolani Nene, David Netshilonga, Rendani Netsianda, Charmaine Newton, Vuyo Leroy Ngalo, Ncumisa Ngani, Thabisa Monica Ngcakaza, Thamela Ngcobo, Trulove Nonhlanhla Ngcobo, Richards Ngcobo, Gcinile Ngcobo, Guguletu Ngcobo, Thozama Ngetu, Pinkie Ngewu, Tshepo Ngobeni, Providence Ngobeni, Khanyisile Ngobeni, Prudence Ngobeni, Thembisile Ngobese, Tracy Ngomane, Nolusindiso Ngondo, Nokukhanya Ngubane, Sithembiso Ngubane, Ntombizodwa Praxedise Nguse, Tholakele Ngwane, Elizabeth Ngwasheng, Siphamandla Ngwenya, Gugu Ngwenya, Nomthandazo Ngwenya, Themba Ngwenya, Eva Ngwenya, Zintlanu Ngxola, Tshegofatso Nhabe, Jabulile Nhlabathi, Ishmael Nhlangwana, Sithembile Nhlapo, Matlala Nick, Vicky Niemand, Carina Nienaber, Louise Nix, Chumisa Njikelana, Masiza Njomi, Lucia Nkabinde, M NKABINDE, Boitumelo Nkabiti, Gugu Nkabule, Mankopodi Nkadimeng, Nonkanyiso Nkanjeni, Palesa Portia Nkatlo, Bongani Nkewana, Audrey Nkhwashu, Ngokoana Nkoana, Mmathapelo Nkoane, M Nkogatse, Fezile Nkomo, Ntando Nkomo, Nontobeko Nkonyane, Sydney Nkosi, Ntombikayise Nkosi, Phumzile Nkosi, Ntombifuthi Nkosi, TINTSWALO NKOSI, ML Nkosi, Godfrey Nkosi, Amukelani Nkosi, Fikile Vinoliah Nkosi, Mbali Nkosi, Nomcebo Lucia Nkosi, Siphokazi Nkosi, Amanda Nkuhlu, Phumzile Nkumane, Malebo Nkuna, Wendy Nkwakwha, Sesi Noge, Elizabeth Nolte, Peko Nomawabo, Malibongwe Nombita, Nandipha Nophale, Jeanetta Nothnagel, Bongiwe Novokoza, Zanele Nqaphi, Thobekile Nqondo, Siphokazi Nqwelo, Nkoana N S, Sindiswa Ntabeni, Mr Ntabeni, mawethu Ntampula, Mthutuzeli Ntebe, Mokwabo Ntela, Hezekiah Ntimbane, Xolisa Ntintsilana, Patrick Ntleki, Zanele Ntobela, Bandile Ntombela, Zamaswazi Ntombela, Khonelihle Zandile Ntombela, Praisegod Samkelo Thobani Ntombela, Lindiwe Ntonintshi, Dipuo Ntseane, Thobeka Ntseane, Xolelwa Ntsham, Mbalenhle Ntshele, Amanda Ntshewula, Zinzi Ntsoko, Athini Ntsoto, Nomsa Ntuli, Nokwazi Ntuli, Nomvula Ntuli, Andrew Diffar Ntuli, Faith Ntuli, Margrit Nurnberger, Ntsikelelo Nxala, Sithandiwe Nxasane, Thanda Nxumalo, Xolani Nyathi, Nontobeko Nyawula, Nhlakanipho Nzama, Maila Nkuneng Obed, Florence Ogwal, Maureen Olifant, B Oliphant, Monota Olive, Kagisho Olyn, Raymond Omoighe, Phumeza One, Ratombo Oscar, Nkuna Owen, Mailula P, Nalini Padayachee, Vasaily Padayachy, Ntombizakhe Pakade, Mosiuoa Palime, Jane Palisa, Lesenyeho Parkies, Andy Parrish, Nilesh Patel, Anastasia Pather, Mkhombo Tsakani Patience, Marisa Patzke, Akhumzi Pawuli, Ntandokazi Pelako, Phaswana Sibasa Penrose, Litha Peppeta, Santosh Pershad, Makheda Pertunia, Nkuna Pertunia, Dane Perumal, Mongameli Peter, Justin Peters, Vatiswa Petlane, Harideen Petrus, Kgomotso Phahladira, Matebesi John Phakisa, R Phale, Livhuwani Phathela, Sekate Daniel Phillip, Beverly Phiri, Mapule Precious Phiri, Thapelo Phokane, Frank Phokoane, Moele Pholosho, Sekoro Phooko, Sekodi Geoffrey Phooko, Maponya Phutiane, Faiza Pillay, Melanie Pillay, Sayuri Pillay, C R Pillay, Zikhona Plaatjie, James Pootona, Samantha Potgieter, Marius Potgieter, Mulaudzi Mulatedzi Precious, Paul Janus Pretorius, Hans Prozesky, Mokhethi Pule, Jayshina Punwasi, Dot Putzier, Lutho Qankqiso, Siphokazi Qebedu, Phozisa Qhola, Ntombesithathu Qotoyi, Sipho Victor Qotso, Zanele Qwabe, Helena Rabie, Phoebe Rabothata, Christina Rachoene, Mteteleli Radana, Maria Radebe, Dr. Valentino Radebe, Nonkululeko Radebe, Ella Radinne, Sherly Raduvha, Shamintha Raghunath, Claudine Rajagopaul, Mary Rakgwale, Malumbete Michael Ralethe, Kenneth Ralimo, Motlalepule Ramafoko, Maduvhahafani Ramagoma, Charlotte Raman, Dr Ramavhuya, Molly Rambally, Nivasha Ramdeen, Tanusha Ramdin, Sharita Rameshwarnath, Yeishna Ramkillawan, null Ramotlou, Faith Rampedi, Vijayluxmi Rampersad, Avhashoni Ramuima, Noluthando Ranone, Mabohlale Portia Rapasa, Mpharoane rapelang, Nika Raphaely, Lesiba Rashokeng, Caroline Rashopola, Tebogo Ratau, M Ratau, Mpfariseni David Ratshili, Elmari Rautenbach, Rofhiwa Ravele, Johannes Reachable, Peta Mmalahla Rebecca, Kessendri Reddy, Andrew Redfern, Robertha Reed, Mumsy Rees, Dr Reji, Gary Reubenson, Veena Rewthinarain, Nkonayani Rhulani, Mufamadi Richard, J S Rikhotso, Shatimone Beverley Rikhotso, Lavhelani Ndivhaleni Robert, Noncedo Roto, Gideon Ruder, Kapil Rugnath, Lizette Ruiters, Mina Ruiters, Sue Russell, Lynn Ruwiza, Molokoane R Y, Mandy Saaiman, Emmanuel Sabela, Lerato Sadiq, Litha Saki, Hyppolite Salambwa, Menitha Samjowan, Nazlee Samodien, Rakgolele Samuel, Fakudze Sandile, Cekuse Sanelisiwe, Mandlankosi Sani, Simangele Sawuka, Lelani Schoeman, Magriet Scholts, Ronel Schroder, Mamotetekoane Sebalabala, Selwalenkwe Collet Sebati, Jacoline Seboko, Wilheminah Sebuthoma, Annah Segami, Ruth Segokotlo, MR Sehloho, Khutjo Seisa, Antony Sekgobela, Monica Sekhosana, John Sekonyela, Mpho Sekoto, Naledi Sekulisa, Mokgadi Vanessa Sekwadi, Lebogo Selaelo, Johannes Selatlha, Kgomotso Selekolo, William Selfridge, Lucy Semenya, Ivy Sengakane, Masabata Sengata, Petronella Sentle, Malebo Seoketsa, Pratheesha Seonandan, Thomas Mambushi Serumula, Nkululeko Setheni, Refiloe Setlale, Tumediso Setlhodi, Barbara Setlhodi, Robert Setloghele, Aarthi Sewpersad, Ryan Sewpersadh, Phumlile Shabalala, Owen Shabangu, Kungesihe Shabangu, Harriet Sbonangaye Shabangu, Thokozani Shabangu, Clifford Shadi, Hasifa Shaik, Tseliso Shale, Qedani Shandu, Nomvelo Shandu, Ntswaki Marcia Shange, Abongile Shenxane, A Sherriff, Sebenzile Shezi, Thenjiwe Shezi, Scally Shihangule, Cheyeza Shikwambana, Lungisani Shoba, Kamogelo shokane, Nora Sibande, Lydia Sibeko, Xolani Sibeko, Zanele Sibiya, Mncedisi Sibiya, Sphamandla Sibuta, Thembakazi Sifumba, Sipho Sigcau, Lutho Sigila, Kayakazi Sihentshe, Bongani Sihlangu, Daisy Sikhakhane, Shaun Nhlanhla Sikhakhane, Mbali Siko, Sipho Sikonje, Khumbulekile Simanga, Nomsa Simango, Thulisile Simela, Ntombikayise Simelane, Sashah Singh, Marjorie Singh, Ragani Singh, Shash Singh, Anita Singh, Hitekani Sithole, Senzekile Sithole, Ntokozo Danielle Sithole, Koketso Maxwell Sithole, Jonnie Situma, Annie Sivraman, Katekani Siwela, Nonqubela Siyewuyewu, Maweya Sizeka, Nonceba Siziba, Andrew Skhosana, Khanyisile Skhosana, Rorisang Skhosana, Tandiwe Skoko, Sunet Slabbert, Ntombela Smangaliso, Christine Smedley, Lydia Smit, Natassia Smit, Lizelle Smit, Michelle Smit, Fasie Smith, Lizzie Smith, Sunell Smith, Cassius Smith, Stefan Smuts, Ayanda Sofe, Khobane Solomon, L J Solomon, chauke Sombani, Richard Songca, Anga Sontamo, Supriya Soorju, Zubenathi Sopazi, Brian Soqasha, Bongiwe Sosibo, Ntsika Sotsaka, Mandy Soula, Simon Spoor, Sarah Stacey, Asanda Stali, Mutele Mmboniseni Stephina, Myra Steup, Sinoxolo Steven, AW Stevens, Vincent Stevens, Dewald Steyn, Bianca Steyn, Pat Stocks, Henk Stolk, Alida Stoltz, Renate Strehlau, Anneke Stroebel, Loraine Strydom, Jean-Marie Strydom, Anton Strydom, Ursula Strydom, Midhu Sunnyraj, Nwabisa Swana, Winnie Swanepoel, Suzan Swanepoel, Elsie Swartbooi, Estley Swartz Swartz, Casandra Syce, Shihambi T E, Joyce Tabane, N E Tabane, Mrs Tawana, Ntene Tebello, Siphosetu Wiseman Tembe, Samantha Terblanche, Ntombifuthi Thabede, Nkhumeleni Thabelo, Sibusiso Thabethe, Lekhanya Thabo George, Keorapetse Thare, Makofane Thebogo, Lerato Thekiso, Lloyd Theko, Celimphilo Zandi Themba, Danie Theron, Henda Theron, Ilze Theron, Thandiwe Thingathinga, M M Thlabadira, Dikeledi Thoka, Zanele Thokwana, Gustav Thom, Mamphot Joel Thubakgale, Theodora Thwala, P Thys, Monethi Tieho, Matodzi Timothy, Ndlovu Tintswalo, Babalwa Tivana, Molefi Tladi, Bongiwe Tokota, Simthandile Toni, Ariel Torres, Mande Toubkin, Marinda Tsatsi, Khanyisile Tshabalala, Nozibele Tshamase, Gontse Tshefu, Makgoga Tshegofatjo, Given Tshikomba, Thapelo Tshilo, Lerato Tshira, S T Tshirado, Maipfi Tshisikule, G Tsoke, N TSOKE, Alatha Tsoko, Mosele Tsotetsi, Sandeva Tsubella, Noxolo Tuswa, Maipato Tutse, Nomayenzeke Tutu, Sphephelo Twala, Nhlanhla Twala, Simphiwe Twala, John Ubisi, Tefo Unathi, A Van Aswegen, Marietjie van der Merwe, Trudie van der Merwe, Patience van der Plank, Elmarie van der Spuy, Linda Van Der Westhuizen, Adele Van Der Westhuizen, Talana van der Westhuizen, Mene van der Westhuyzen, Thea Van Dyk, Ingrid van Heerden, Ryno van Jaarsveld, M Van Lill, Heidi van Niekerk, Ben van Niekerk, Amanda van Rensburg, Judy van Schallwyk, Zeitschke Yarnrich Van Sensie, Magda van Vuuren, Cloete van Vuuren, Olga Funiswa Vandu, Mandisa Vane, Lucia VanZyl, Ebrahim Variava, Mariam Veerus, Nokhwezi Velapi, Sebina Veleko, Z Velezantsi, Retha Venter, Corlia Vergottini, Inga Vermeulen, Liabara Lufuluvhi Vidah, Bongani Vilakazi, Treasure N Vilakazi, Mbalenhle Precious Vilakazi, Karen Viljoen, Werner Viljoen, Zuretha Volschenk, Angelo Vos, Matlala V V, Jacques Walters, Kate Webb, John Welsh, D Wessels, Judy Wheller, Fundile White, Priscilla White, Carmen Whyte, Ansie Willemse, Sape William, Daniel Williams, Kamielah Williams, Mercia Williams, Anne Williamson, Cherade Wilson, Boipelo Wolff, Michelle Wray, Ntombizonke B Xaba, Thabang Jabulani Xaba, Thanks Xiniwe, Mtshali Xoliswa, Funokwakhe Xulu, Gibson Xulu, Sandlakazi Yam, NM Zakhura, Mashela Zareloa, Sive Zinto, Dyibeni Zinziswa, Lulamile Ziselo, Zakhele Zitha, Emmanuel Zitha, Anele Zokufa, Innocent Zondi, Sikhumbuzo Bernard Zondi, Sbuyi Zondi, Thulani Zondi, Wandiswa Zongola, Liesl Zühlke, Zandile Zulu, Lungelo Zulu, Thandeka Zulu, Slindili Zulu, Nkosinathi Zulu, Angel Zuma, Precious Zungu, Pamela Zungu, Melusi Zungu, Priscilla Zungu, Bongo Lihle Zwakala, Antonia Zwane, Promise Zwane, Muziwendoda Zwane, Hlengiwe Priscila Zwane, and Nomgcobo Zwane
Subjects: Male, Pediatrics, medicine.medical_specialty, Tuberculosis, Epidemiology, Immunology, HIV Infections, Comorbidity, Disease, Cohort Studies, South Africa, Risk Factors, Virology, Diabetes mellitus, Prevalence, Humans, Medicine, Hospital Mortality, Asthma, SARS-CoV-2, business.industry, Public health, COVID-19, Articles, Odds ratio, medicine.disease, Infectious Diseases, Anti-Retroviral Agents, Female, business, Cohort study
Abstract: Summary Background The interaction between COVID-19, non-communicable diseases, and chronic infectious diseases such as HIV and tuberculosis is unclear, particularly in low-income and middle-income countries in Africa. South Africa has a national HIV prevalence of 19% among people aged 15–49 years and a tuberculosis prevalence of 0·7% in people of all ages. Using a nationally representative hospital surveillance system in South Africa, we aimed to investigate the factors associated with in-hospital mortality among patients with COVID-19. Methods In this cohort study, we used data submitted to DATCOV, a national active hospital surveillance system for COVID-19 hospital admissions, for patients admitted to hospital with laboratory-confirmed SARS-CoV-2 infection between March 5, 2020, and March 27, 2021. Age, sex, race or ethnicity, and comorbidities (hypertension, diabetes, chronic cardiac disease, chronic pulmonary disease and asthma, chronic renal disease, malignancy in the past 5 years, HIV, and past and current tuberculosis) were considered as risk factors for COVID-19-related in-hospital mortality. COVID-19 in-hospital mortality, the main outcome, was defined as a death related to COVID-19 that occurred during the hospital stay and excluded deaths that occurred because of other causes or after discharge from hospital; therefore, only patients with a known in-hospital outcome (died or discharged alive) were included. Chained equation multiple imputation was used to account for missing data and random-effects multivariable logistic regression models were used to assess the role of HIV status and underlying comorbidities on COVID-19 in-hospital mortality. Findings Among the 219 265 individuals admitted to hospital with laboratory-confirmed SARS-CoV-2 infection and known in-hospital outcome data, 51 037 (23·3%) died. Most commonly observed comorbidities among individuals with available data were hypertension in 61 098 (37·4%) of 163 350, diabetes in 43 885 (27·4%) of 159 932, and HIV in 13 793 (9·1%) of 151 779. Tuberculosis was reported in 5282 (3·6%) of 146 381 individuals. Increasing age was the strongest predictor of COVID-19 in-hospital mortality. Other factors associated were HIV infection (adjusted odds ratio 1·34, 95% CI 1·27–1·43), past tuberculosis (1·26, 1·15–1·38), current tuberculosis (1·42, 1·22–1·64), and both past and current tuberculosis (1·48, 1·32–1·67) compared with never tuberculosis, as well as other described risk factors for COVID-19, such as male sex; non-White race; underlying hypertension, diabetes, chronic cardiac disease, chronic renal disease, and malignancy in the past 5 years; and treatment in the public health sector. After adjusting for other factors, people with HIV not on antiretroviral therapy (ART; adjusted odds ratio 1·45, 95% CI 1·22–1·72) were more likely to die in hospital than were people with HIV on ART. Among people with HIV, the prevalence of other comorbidities was 29·2% compared with 30·8% among HIV-uninfected individuals. Increasing number of comorbidities was associated with increased COVID-19 in-hospital mortality risk in both people with HIV and HIV-uninfected individuals. Interpretation Individuals identified as being at high risk of COVID-19 in-hospital mortality (older individuals and those with chronic comorbidities and people with HIV, particularly those not on ART) would benefit from COVID-19 prevention programmes such as vaccine prioritisation as well as early referral and treatment. Funding South African National Government.
Published: 2021

11. Difference in mortality among individuals admitted to hospital with COVID-19 during the first and second waves in South Africa: a cohort study

Author: Waasila Jassat, Caroline Mudara, Lovelyn Ozougwu, Stefano Tempia, Lucille Blumberg, Mary-Ann Davies, Yogan Pillay, Terence Carter, Ramphelane Morewane, Milani Wolmarans, Anne von Gottberg, Jinal N Bhiman, Sibongile Walaza, Cheryl Cohen, Shaina Abdullah, Fiona Abrahams, Vincentius Adams, FHIMA ADNANE, Sonia Adoni, Dieketso Melitta Adoons, Veronique Africa, Dr Aguinaga, Susan Akach, Prisha Alakram Khelawon, George Aldrich, Olatunde Alesinloye, Mathale Biniki Aletta, Mametja Alice, Tebogo Aphane, Moherndran Archary, Felicity Arends, Shireen Arends, Munonde Aser, T Asmal, Mohammed Asvat, Theunis Avenant, Muvhali Avhazwivhoni, Magnolia Azuike, Johanna Baartman, Dlava Babalwa, Johan Badenhorst, Miranda Badenhorst, Badenhorst, Bianca Badripersad (CEO), Lalihla Badul, M Bagananeng, Mncedisi Bahle, Liezl Balfour, TC Baloyi, S Baloyi, Tinyiko Baloyi, Tshepo Mpho Baloyi, Thokozani Banda, Shimon Barit, Nicole Bartsch, Junaid Bayat, Siyabulela Bazana, Marlene Beetge, Nosindiso Bekapezulu, Rammala Belebele, Phala Bella, Zanenkululeko Belot, Lindi Gladys Bembe, Sonja Bensch, Gishma Beukes, Karla Bezuidenhout, Themba Bhembe, N.A BIKISHA, Ben Bilenge, Leesa Bishop, Baphamandla Biyela, Cyntheola Blaauw, Mark Blaylock, Nicola Bodley, Power Bogale, Sibongile Bokolo, Stefan Bolon, Mary Booysen, Eldereze Booysen, Lia Boretti, Paula Borges, Millicent Boshoga, Natasha Bosman, Lucinda Bosvark, Nicky Botes, Adele Botha, CHANTALL BOTHA, Jana Botha, MANDLAKAYISE IRVIN BOTHA, Alet Botha, Janet Bradbury, Zandisile Breakfast, Maria Breed, Molele Brenda, Moshito Brice, Jolene Britz, Amanda brown, Ms T Buchanan, Thozama Bucwa, Crystelle Burger, Ziyanda Busakwe, Nosiviwe Bushula, Zinhle Buthelezi, Dumsile Buthelezi, Thubelihle Buthelezi, Mpumelelo Basil Buthelezi, Fundiswa Lidwina Buthelezi, Nadia Bux, Christoff Buys, Anneline Buys, Ernestina Caka, Armando Sanchez Canal, Sithole Caroline, Monrick Casper, Shannon Cawood, Oratile Cebisa, Nothando Cele, Sboniso Cele, Sthembile Goodness Cele, Mkhacani Chauke, Pinkie Chauke, Nevil Chelin, Xiaohui Chen, Venmalla Chetty, Kerisse Chetty, Christinah Cheu, Vindana Chibabhai, Takudzwa Chirima, Mantwa ChisaleMabotja, CHARITY CHIVENGE, Ngoasheng Choene, Mbali Nosisa Choko, Martin Choshi, Sabbir Chowdhury, Anastacia Christoforou, S.L.S Chuene, T.S Chueu, Dale Cilliers, Vanessa Cilliers, Marcel Claassen, Jeané Cloete, Chantelle Coelho, Carol Coetzee, Hans Jurgens Coetzee, Christine Coetzee, Marelize Coetzee, Dane Coetzer, Sizwe Coka, Mr M Colane, Herkulaas Combrink, Songezo Conjwa, Colleen Contrad, Faith Cornelissen, Leezelle Cronje, Christine Crouse, Moshai D.A, Ms Mahabane D.I, Tshidi Dabi, Ziyanda Dandala, Ziyaad Dangor, Gildenhuys Daniel, Ngwana Daniel, Alfred Daumas, Madelein Dauth, Mongalo David, Wayne Davids, Nozuko Daweti, Halima Dawood, Wandisa Dayile, B DE BRUIN, Karin De Klerk, Tanya De la Rosa, Marice de Nysschen, Marie De vos, Darien De Wet, Mohith Debising, Darshan Deenadayalu, Babalwa Dekeda, Mofokeng Desiree, Annelise Deysel, Abram Dhlamini, Makgethwa Dhlala Diala, Mathapelo Diale, Bella Diketane, Nosisa Dingani, Siyabonga Diniso, Lesego Diphatse, Anele Diya, Zihloniphile Dladla, Nompumelelo Dladla, Mlungisi Dladla, Patience Dladla, Baphilie Dlamini, NONHLANHLA DLAMINI, Linda Dlamini, Nonzwakazi Dlamini, Wendy Dlamini, Ncomeka Dlamini, Siyabonga Dlamini, Nicodemus Dlamini, Lebohang Dlamini, Motshedise Dlamini, Babalwa Christine Dlava, Phikiwe Dlova, Lindiwe Dlozi, Maenetja Doreen, Vumile Doyi, Athini Doyi, Belinda Du Plessis, Johanna Aletta du Plessis, Mr. Eddie du Plessis, Nicolette du Plessis, Karin du Plessis, Briette du Toit, Narissa du Toit, Jabulile Dube, Athayanda Dubula, Msomi Duduzile, Sechaba Duiker, Unati Bongile Duma, Kholiwe Duma, Kella Dunne, Kholeka Dyantyi, Avile Dyantyi, Simphiwe Dyasi, CHAUKE DYONDZO, Phelisa Dyubhele, B.J Dywili, Letitia Edwards Edwards, Madie Eksteen, Tersia Ellis, Tia Ellis, Glenda Emmerson, Theusia Enslin, ODIMULA EPULE, Lana Erasmus, Mathonsi Erick, Lerato Etsane, Shimange Eunice, Zanele Fani, Mariette Ferreira, K.L Finger-Motsepe, Fabion Floris, Tseko Fobo, Keresemetse Fokotsane, Duduzile Emmelda Fokwana, Genevieve Marion Fords, Juanita Fortein, Christine Fouche, Rulandi Fourie, Andrew Frean, Ludwig Fredericks, Wandile Funda, Kabelo Funjwa, Martha Futhane, Amanda Futuse, Dora Gabaediwe, Nonhlanhla Gabuza, Janycke Galant, Zanele Gama, Thobile Gano, Emma Cora Gardiner, Henri Gastrow, Kelly Gate, Ben Gaunt, Rikhotso Gavaza, Thapelo Gayi, Nkosinathi Gcakasi, Nomusa Gcobo, Leon Geffen, S Geldenhuys, Jenny George, Martha Gerber, Zolisa Getyengana, Nkululo Gigi, Radha Gihwala, Mitchell Gilliland, Zandile Gloria, Elitia Glover, Ellen Gokailemang, Suseth Goosen, Maria Gopane, Thandazile Gosa - Lufuta, Bernadett Gosnell, Sharleen Gouws, Christina Govender, Raksha Govender, Pearl Govender, Sally Govender, Roxanne Govender, K Govender, Mrs Savie Govender, Rashika Govinden, Luphumlo Gqabuza, Nomthandazo Gqaji, Maneo Gqetywa, Caroline Green, Nathan Green, Neera Green, Hendrik Grobler, Pamela Groenwald, Daniel Grootboom, Beatrice Gumede, Nomonde Gumede, Simphiwe Gumede, Slindile Gumede, Ntombikayise Gumede, Zenande Gumede, Thandiswa Gxotiwe, Makhubela H.L, Nonhlanhla Hadebe, Skhumbuzo Hadebe, Christos Halkas, Ansie Hamer, Ebrahim Hamida, Juan Hammond, Sumayia Haniff, Annelise Hare, lorinda Hattingh, Thenjiwe Hendricks, Philip-George Henecke, Brends Henly-Smith, Glynis Herselman, Ansie Heymans, Chantel Heyns, Golekane Hlabahlaba, Lucky Hlabangwane, Simango Hlamarisa, Ntokozo Hlanzi, Hlengiwe Hlela, Katlego Hlokwe, Thembinkosi hlongwa, Anele Hlongwana, Themba Hlubi, Tozama Hobo, Nare Nathaniel Hopane, Mariska House, Catharina Hudson, Marinda Huysamen, Jezreen Indheren, Samantha Ingle, Gavin Isaacs, TS Thekiso Isaacs, Maringa Itumeleng, Karien J van Rensburg, Saloshni Jackson, Neziswa Jacob, Burton Jacobs, Tshireletso Jacobs, Gugulethu Jacobs, Mesadi Jaftha, Zimkhitha Jaji, Sibusiso Jali, Gcobisa James, Gillian January, Andiswa Jeke, Laurent Jeremiah, LS Jeremiah, Mubeen Jhetam, Maureen John, Chuene John, Thandiwe Jola, Yolande Jonas, Anovick Jonas, Amilcar Juggernath, eileen kaba, Venetia Kabo, Disebo Kadi, Karabo Kaizer, Moshaya Peter Kambule, Lorraine Kapp, Tshepo Kau, Nchabeleng Keneth, O Kgabi, Tebogo Audrey Kgafela, Vincent Kgakgadi, Isabella Kgaswe, Tsholofelo Kgathlane, Vuyelwa Julia Kgetha, Mmaselloane Kgomojoo, MR B Kgoro, Christinah Kgosiemang, Gloria Kgosiencho, Stephen Khambula, Ariffa Khan, Refemetswe Khanare, Ncamsile Khanyase, Nokwethemba Khanyile(Data Capturer), Fillip Kharatsi, Simangele Khawula, Themba Khohlakala, Letitia Khomo, Isabel khoza, Sinethemba Khoza, Nombulelo Khukule, Busisiwe Khumalo, Tracy Khumalo, Zinhle khumalo, Vuyelwa Khumalo, Delisile Khumalo, Lebohang Khumalo, Boitumelo Khumalo, Thuli Khumalo, Gugu Khumalo, Bongiwe Khuzwayo, Thembhelihle Khuzwayo, Hennie Kidson, Jesne Kistan, Gugu Klaas, Marilyn Klassen, Josehine Koeberg, Marizel Koen, Simphiwe Koena, Ina Kok, Imraan Kola, Karabo Kolokoto, Ramachandra Konar, Dr Kotsedi, Jaline Kotze, MARTINS KOUPIS CDS, Sr Helen Kritzinger, Marlize Kruger, Henk Kruger, Tlangelani Kubayi, Thabisile Kubeka, Nonjabulo Kubheka, Melusi Kubheka, Sibusiso Clifford Kubheka, Erol Kubheka, Monica Kumalo, Thulani Kunene, Siphilile Candy Kunene, Yvette Kunneke, R.P KUPA, Rachel Kutama, Nompumelelo Kwakwazi, Lwanele Kweyama, Maureen Labuschagne, Marina Labuschagne, Prabha Lakshman, Lungelo Lamani, Thembela Lamani, Naomi Langa, Khangelani Langeni, Aphelele Langeni, Nwabisa Hazel Langeni, Gena Langeveldt, Anchen Laubscher, Laetitia Le Roux, Magagane Leah, Collen Lebea, Sello Lebea, Viyella Phumla Cynthia Lebenya, Lorraine lebogang, PK LEBOHO, Chantel Lee, Kelebogile Rejoice Lefakane, Zandile Legoabe, Patrick Lekala, Motsitsi Lekhoaba, Tanki Shadrack Lekunutu, Galaletsang Lerefolo, Mrs N Letebele, Tsepo Patric Lethoba, Emission Letlalo, Ofentse Letlhage, D.S.V Letshufi, Dineo Fiona Letsoalo, Seleka Jones Letsoalo, Pennelope Letsoalo, Getrude Letwaba, Sobekwa Linda, Katleho Lipholo, Sabata Litabe, Harsha Lochan, Linda Lomax, Francina Lombaard, Elmarie Loots, Ariana Lourens, Celeste Louw, Rianna Louw, Zikhona Lubambo, Msebenzi Moises Lubambo, Gregory Ludada, Michael Lukas, Thembela Lungu, Nomvume Lupindo, Emmah Lusenga, Happiness Luthuli, Zoleka Sylvia Luvuno, Sr Gwangwa M.H, Mustafa Maarman, Buyisiwe Mabaso, Cynthia Mabaso, Morena Mabitle, Grace Mabogoane, Kgakgamatso Mabone, Rueben Mabuza, Velaphi Mabuza, Mogantla Madiseng, Thobile Madlala, Mashooase Madolo, Thabiso Madonsela, Lesetsa Madubanya, Amukelani Maepa, Namhla Mafumana, Caroline Mafumo, Pumeza Magadla, Viscah Magale, Nompumelelo Magaqa, Oberholzer Magda, Rakgoale Magdeline, Tswai Maggie, Bongeka Maginxa, Cathrine Maite Magoba, Caroline Magongwa, AGRETIA MAGUBANE, Agretia Ntombizodwa Magubane, R Magwai, Padmini Mahabeer, Elsie Mahadulula, Lungiswa Mahanjana, Amy Maharaj, Qedusiza Mahlambi, Yvonne Mahlangu, Lerato Mahlangu, Ntombifikile Mahlangu, Makhosazana Mahlangu, Mahlatsi Mahlangu, Penelope Mahlasela, Thosago Mahlatse, Regina Mahlobo, Dikhing Mahole, Adam Mahomed, Mapeu Debora Mahubane, Peter Mahume, Lehlogonolo Maifo, Vincent Maimane, Petunia Maimele, Phakoe Maine, Patricia Senyanyathi Mainongwane, Nomalungisa Majamani, Amahle Majozini, Noluthando Makalima, Nomfundo Makam, Khanyisa Makamba, R Makan, Mashiane Makarapa, Malesela Makgahlela, Mogoiwa David Makgisa, Makgoba Makgomo, MA Makgopa, Mabone Makhalema, Lindokuhle Lizo Makhanya, Philile Valentia Makhanya, Tolerance Makharaedzha, Nathi Makhathini, Elizabeth Makhesi, Cinile Makhubela, Nkululeko Freedom Makhunga, Nomalinge Makhupula, RR Makhura, Rangwato Makola, Zingisa Makuba, Asanda Makubalo, Lonwabo Makumsha, George Makuya, Levy Mmachuene Malaka, Themba Malangeni, ML MALATJI, Pelonomi Malebana-Metsing, Malek Malek, Luthando Malevu, Juanita Malgas, Dimakatso Malgas, Paul Makgasane Malope, Monyeki Malose, Katekani Maluleke, Kato Mambane, Nthabiseng Mamorobela, Kukami Manamela, Tshepo Manana, Sathiel Maneto, Aron Kabelo Manganye, Pheto Mangena, Anna Mangoale, TINOTENDA FLORENCE MANGOZHO, Pariva Manickchund, Zandisile Mankayi, Arthur Manning, Kelebogile Manyaapelo Manyaapelo, Tabea Manyane, Zoliswa Manzana, Milton Manzini, Busisiwe Mapasa-Dube, Siboniso Maphumulo, Ntombifuthi Maphumulo, Sindy Maponya, Khomotso Mumsy Maponya, Napjadi Maponya, Lami Maqubela, Lizeka Maqubela, Vuyo Maqungo, Marisa Marais, Chantal Marais, Nondumiso Maramba, Annelize Mare, Madumetsa Maredi, Afikile Martins, Johanna Marule, Refilwe Marumo, NN Masakona, KEDIBONE VINCENTIA MASEHLA, Eric Maseko, Tshilidzi Maselesele, Mojalefa Maselo, M Maseloa, M.E Masemola, Thembi Masemola, Bella Mashaba, James Mashangwane, Mantebele Mashao, Shalom Mashego, Lerato Mashele, Ester Mashiane, Joyce Mashibini, J Mashilo, Tumi Mashiloane, Charity Mashishi, Ngazibini Mashiyi, Khomola Mashudu, aluwani masindi, Caroline Maslo, Nduduzo Masondo, Dumisile Masuku, Cry Matamela, Mirriam Matandela, Nontokozo Mathabela, T Mathabi, Keitumetse Mathe, Mathabo Mathebula, Catherine Mathebula, Mdungazi Andres Mathebula, Nqobizwe Mathenjwa, Jane Mathibe, Lebohang Mathibela, MAKWELA MATHILDA, Khakhu Mathiva, Mokgadi Alinah Mathobela, Fikile Pearl Mathonsi, KP Mathonsi, Katlego Mathosa, Noluvo Matiwane, Emma Matjeke, Bella Matjiane, Thabang Matjila, Sr Chidi Matlala, Petlo Matome, Nolusindiso Matoti, C. Matseliso, Dineo Matsemela, Phumeza Matsha, Gaalebale Prudence Matshediso, Motsumi Matshediso, Esther Matshela, Bongeka Mavuma, Pearl Mavundla, Nomthandazo Mavuso, Lovender Mawasha, Rebecca Mawelela, Nelisiwe Mazibuko, Phumlani Mazibuko, Lindiwe Mazubane, Bavumile Mbanjwa, Ayanda Mbasa, Nosimilo Mbatha, ZANELE MBATHA, Rudolph Zenzele Mbatha, Gift Mbedzi, Tatenda Trevor Mbizi, Khumbulani Mbonambi, Nondumiso Mboniswa, Nomfanelo Mbonisweni, Jody Mbuilu, Siyabonga Mbulawa, Zama Mbutho, Natasha Mbuzi, Nonkululeko Mchunu, Cyprian Mchunu, Nokuzola Mchunu, Masesi Thandeka Mchunu, Vuyokazi Mciteka, Solly Mdaka, Neho Mdakane, Siyabonga Mdediswa, Melusi Mdima, Nozipho Mdima Masondo, Siviwe Mdindana, Ntombizikhona Mdleleni, Sibusiso Mdletshe, Gcobisa Precious Mdoda, Ntombi Mdolo, Anele Mdontsane, Ruchikas Mehta, Philile Rittah Memela, Masande Methuse, Keatlaretse Metshile, Pheliswa Metuse, Anton Meyer, Gavin Meyer, Cameron Meyer, Sisonke Mfazwe, Andiswa Mfecane, Bongeka Mfecane, Nelisiwe Mfeka, Busisiwe Mgaga, Thandiwe Portia Mgauli, Thembekile Mgedezi, Vuyokazi Mgedezi, Kalipile Mgevane, Bongni Mgiba, Babalwa Mgoduka, PATRICK MHLABA, Zeldah Mhlaba, Ntombizodwa Mhlanga, Vangile Mhlinza, Nokuthula Mhlongo, sibongiseni Mhlongo, Unamandla Mhlotshana, Mabaso Mikateko, Helena Minnie, Karen Mintoor, Bongi Miyeni, Mabelane MJ, Rosy Mjethu, Gloria Mkhize, Mvuselelo Mkhize, Ntokozo Siyabonga Mkhize, Victoria Mkhize, Nomkhosi Mkhize, Nokuthula Mkhize, Mathini Mkhwanazi, Nolwandle Mkile, Kholofelo Mkise, Nokwandiso Mkiya, Pearl Mkongi, Mnonopheli Mkungeka, Hlomile Mlahleki, Nolukholo Mlibali, Sakhumzi mlungwana, Jonas Mmachele, Mashatole Mmateka, Molebatsi Mmokwa, Thembisa Mmutlane, Zanele Olive Mndebele, nonhlanhla mngomezulu, Noluthando Millicent Mnguni, Pumza Mngunyana, Nomxolisi Mngunyana, Ntombebongo Mngxekeza, ZENZELE MNISI, Hlengiwe Precious Mnqayi, PHUMZILE MNQAYI, Thabiso Mntungwa, Siya Mnyaka, Ntombikayise Mnyakeni, Vuyani Mnyamana, Nomzingisi Mnyipika, Koena Moabelo, Mmakgoshi Alseria Moatshe, Jennifer Mochaki-Senoge Mochaki-Senoge, Sharon Moche, Tebello Mocwagae, Koeikantse Modibane, Tebogo godfrey Modimoeng, Obakeng Modisa, Itumeleng Modisane, Olebogeng Modise, Makaepeaa Flovia Modjadji, Sharon Modupe, Maja Moeketsi, Ntswaki Moeketsi, Kereditse Kingsley Moeng, Naledi Nthabiseng Mofamere, Samuel Mofokeng, Thabo Mofokeng, Jonas Mofomme, VICKY MOGAKANE, Lehlohonolo Mogale, Audrey Mogapi, Thomas Mogashoa, Mphaka James Mogatla, Kgaladi Mogoale, Dikeledi Maggie Mohajane, Nkuba Mohapi, Mthoamihla Mohatsela, Irene Mohlala, Daphney Mohlala, Mpho Mohlamonyane, Bonolo Millord Mohutsiwa, Selemela Moipone, Tshepang Moisi, Nelly Mojalefa, Vuyo Moji, Buhle Mokangwana, Matloa Mokgabo, Manaka Mokgaetji, Jane Mokgaotsi, Neo Theodore Mokgoro, Thalitha Mokhatla, Lerato Lovedalia Mokhele, Sheila Mokhema, Mamoya Mokoena, Mojalefa Mokoena, Lleka Mokome, Cynthia Mokone, Ipeleng Mokono, Thabiso Mokonyama, Josiah Mokori, Dolores Mokuena, Danny Mokumo, Oddy Mokwena, Kgaogelo Mokwena, Kgantshi Sam Mokwena, Lebogang Mokwene, Thato Elliott Molate, Ditoche Molebalwa, Boingotlo Molefe, KGOPA STANLEY MOLEHE, Kgomotso Moleme, Sarah Moliane, FANYANA MOLOI, Retshepile Joseph Molorane, Glenda Tsholanang Molotsi, Lerato Molukanele, Joy Monareng, Thapelo Moncho, Modiadie Monica, Refilwe Monnane, Andile Monqo, Neo Montewa, Kgalalelo Montsioa, Reitumetse monyaki, Masekhobe Jeanett Monyane, Lipson Monyela, Yudeshan Moodley, Kriesen Moodley, Kaira Moodley, Boitumelo Donald Mooka, Prea Moonsamy, Simmi Moopanar, David Moore, Lineo Mophethe, Tshegohatso Moremedi, Kealeboga Moremong, nthangeni morgan, Egma Moripa, Lulamile Morris, Me. A.M. Mosala, Thabo Mosana, Alice Mosase, Yolanda Mose, Maponya Mosehlo, Mothusi Moseki, Mojalefa David Moshabe, Mbulelo Moshani, Pelisa Moshani, Ledwaba Mosima, Ezrom Mosima, M.P Mosoma, Lebohang Motaung, Mokete Motaung, Thozama Charmain Motaung Xhama, Purine Khethiwe Motha, Lerato Motimele, Boitumelo Motimeng, Shirley Motladiile, otsile Motlhabane, Joshua Motlhamme, Mandla Motloba, Kagiso Motse, Sophia Motshegoa, Edward Moutlana, Irma Mouton, Zanele Moya, Nomonde Moyake, Maja MP, Jenny Mpete, Luamba Meltha Mpfuni, Seputule Mphahlele Mphahlele, Mashadi Mphake, Ephraim Letlhogonolo Mphanya, Mashudu Mphaphuli, Tebogo Chwene Mphela, MS Mpontshane, Thabile Mqotyana, Babalwa Mqungquthu, Noluthando Busane Msane, Malusi Mseleku, Sibusiso Msibi, Mancele Msibi, Thulisile Msibi, Siyabonga Linda Msibi, Clement Nhlanhla Msiza, Lungelo Msomi, Mandlenkosi Mtatambi, Thembisa Mthathambi, December Mthembu, Nhlahla Mthembu, Fezile Mbali Mthembu, Lungiswa Mthembu, Nompumelelo Petunia Mthethwa, Khulekani Mthimkhulu, Lungani Percival Mthuli, Ashley Mthunzi, Xolani Sydney Mtolo, Nomonde Precious Mtolo, Linda Mtshali, Neliswa Mtwa, Fezeka Mtyobile, Kanyisa Mtyobile, Mpfariseni Mudau, Magwabeni Muemeleli, Isaac Mulaudzi, Rebecca Mulaudzi, Mhlelekedzeni Mulaudzi, Dakalo Rejoyce Muligwe, Blessing Muponda, Mmbangiseni Stella Mushadi, M Mushid, Konanani Muthaphuli, J Muthavhine, Mpho Muthika, Samkelisiwe Mvelase, Vusi Mvelase, LAURENT KAYUMBA MWEHU, Thabile Myaka, Magriet myburgh, Zimkhitha Mzamo, Fezeka Mzawuziwa, Mfundo Lunga Mzini, Oscar Mzizana, Ntokozo Mzobe, Thokozile Mzobe, Zamaswazi Mzobe, Mtimkulu Mzwandile, Fathima Naby, KESHNEE NAICKER, Pregashnie Naicker, Saroja Naicker, Pershen Naicker, Saiyen Virgil Naicker, RIA NAIDOO, Sam Naidoo, Mergan Naidoo, KAMALAMBAL NAIDOO, Aroomugam Naidoo, Sivuyile Naku, Firdose Nakwa, Masoga Nancy, Rita Nathan, Maritsa Naude, Gcobisa Ncaza, Aviwe Ncaza, Relebohile Ncha, Yanelisa Ncoyini, Snothile Ncube, Mrs Ndaba, VUSUMUZI NDABA, Mmapula Ndaba, Siziwe Ndawonde, Ziphozihle Ndevu, NONHLANHLA FAITH NDHLOVU, Simphiwe Ndima, Sindisiwe Ndlela, Thobsile P Ndlela, Nobuhle Ndlovu, Nwabisa Ndlovu, Virginia Dipuo Ndlovu, Sombekhaya Ndlumbini, Khululiwe Nduli, Priscilla Nontokozo Nduli, Michael Ndwambi, Jeremy Nel, Rina Nel, Lizelle Nel, Ntsundeni florah Nemanashi, Usinkhangwe Nyaphophi Nemudivhiso, Joyce Nemutavhanani Nemutavhanani, Jabu Nene, Xolani Nene, David Netshilonga, Rendani Netsianda, Charmaine Newton, Vuyo Leroy Ngalo, Ncumisa Ngani, Thabisa Monica Ngcakaza, Thamela Ngcobo, Trulove Nonhlanhla Ngcobo, Richards Ngcobo, Gcinile Ngcobo, Guguletu Ngcobo, Thozama Ngetu, Pinkie Ngewu, Tshepo Ngobeni, Providence Ngobeni, Khanyisile Ngobeni, Prudence Ngobeni, Thembisile Ngobese, Tracy Ngomane, Nolusindiso Ngondo, Nokukhanya Ngubane, Sithembiso Ngubane, Ntombizodwa Praxedise Nguse, Tholakele Ngwane, Elizabeth Ngwasheng, Siphamandla Ngwenya, Gugu Ngwenya, Nomthandazo Ngwenya, Themba Ngwenya, Eva Ngwenya, Zintlanu Ngxola, Tshegofatso Nhabe, Jabulile Nhlabathi, Ishmael Nhlangwana, Sithembile Nhlapo, Matlala nick, Vicky Niemand, Carina Nienaber, Louise Nix, Chumisa Njikelana, Masiza Njomi, Lucia Nkabinde, M NKABINDE, Boitumelo Nkabiti, Gugu Nkabule, Mankopodi Nkadimeng, Nonkanyiso Nkanjeni, Palesa Portia Nkatlo, Bongani Nkewana, Audrey Nkhwashu, Ngokoana Nkoana, Mmathapelo Nkoane, M Nkogatse, Fezile Nkomo, Ntando Nkomo, Nontobeko Nkonyane, Sydney Nkosi, Ntombikayise Nkosi, Phumzile Nkosi, Ntombifuthi Nkosi, TINTSWALO NKOSI, ML Nkosi, Godfrey Nkosi, Amukelani Nkosi, Fikile Vinoliah Nkosi, Mbali Nkosi, Nomcebo Lucia Nkosi, Siphokazi Nkosi, Amanda Nkuhlu, Phumzile Nkumane, Malebo Nkuna, Wendy Nkwakwha, Sesi Noge, Elizabeth Nolte, Peko Nomawabo, Malibongwe Nombita, Nandipha Nophale, Jeanetta Nothnagel, Bongiwe Novokoza, Zanele Nqaphi, Thobekile Nqondo, Siphokazi Nqwelo, Nkoana NS, Sindiswa Ntabeni, Mr Ntabeni, mawethu Ntampula, Mthutuzeli Ntebe, MOKWABO NTELA, Hezekiah Ntimbane, Xolisa Ntintsilana, Patrick Ntleki, Zanele Ntobela, Bandile Ntombela, Zamaswazi Ntombela, Khonelihle Zandile Ntombela, Praisegod Samkelo Thobani Ntombela, Lindiwe Ntonintshi, Dipuo Ntseane, Thobeka Ntseane, Xolelwa Ntsham, Mbalenhle Ntshele, Amanda Ntshewula, Zinzi Ntsoko, Athini Ntsoto, Nomsa Ntuli, Nokwazi Ntuli, Nomvula Ntuli, Andrew Diffar Ntuli, Faith Ntuli, Margrit Nurnberger, Ntsikelelo Nxala, Sithandiwe Nxasane, Mr Thanda Nxumalo, Xolani Nyathi, Nontobeko Nyawula, Nhlakanipho Nzama, Maila Nkuneng Obed, Florence Ogwal, Maureen Olifant, Mr B Oliphant, Monota Olive, Kagisho Olyn, Raymond Omoighe, Phumeza One, Ratombo Oscar, Nkuna Owen, Mailula P, Nalini Padayachee, Vasaily Padayachy, Ntombizakhe Pakade, Mosiuoa Palime, Jane Palisa, Arifa Parker, Lesenyeho Parkies, Andy Parrish, Nilesh Patel, Anastasia Pather, Mkhombo Tsakani Patience, Marisa Patzke, Akhumzi Pawuli, Ntandokazi Pelako, Phaswana Sibasa Penrose, Litha Peppeta, Santosh Pershad, Makheda Pertunia, Nkuna Pertunia, Dane Perumal, Mongameli Peter, Justin Peters, Vatiswa Petlane, Harideen Petrus, Kgomotso Phahladira, Matebesi John Phakisa, R Phale, Livhuwani Phathela, Sekate Daniel Phillip, Beverly Phiri, Mapule Precious Phiri, Thapelo Phokane, Frank Phokoane, Moele Pholosho, Sekoro Phooko, Sekodi Geoffrey Phooko, Maponya Phutiane, Faiza Pillay, Melanie Pillay, Sayuri Pillay, CR Pillay, Zikhona Plaatjie, James Pootona, Samantha Potgieter, Marius Potgieter, Mulaudzi Mulatedzi Precious, Paul Janus Pretorius, Hans Prozesky, Mokhethi Pule, Jayshina Punwasi, Dot Putzier, Lutho Qankqiso, Siphokazi Qebedu, Phozisa Qhola, Ntombesithathu Qotoyi, Sipho Victor Qotso, Zanele Qwabe, Helena Rabie, Phoebe Rabothata, Christina Rachoene, Mteteleli Radana, Maria Radebe, Dr. Valentino Radebe, Nonkululeko Radebe, Ella Radinne, Sherly Raduvha, Shamintha Raghunath, Claudine Rajagopaul, Mary Rakgwale, Malumbete Michael Ralethe, Kenneth ralimo, Motlalepule Ramafoko, Maduvhahafani Ramagoma, Charlotte Raman, Dr Ramavhuya, Molly Rambally, Nivasha Ramdeen, Tanusha Ramdin, Sharita Rameshwarnath, Yeishna Ramkillawan, null Ramotlou, Faith Rampedi, Vijayluxmi Rampersad, Avhashoni Ramuima, Noluthando Ranone, Mabohlale Portia Rapasa, Mpharoane rapelang, Nika Raphaely, Lesiba Rashokeng, Caroline Rashopola, Tebogo Ratau, M RATAU, Mpfariseni David Ratshili, Elmari Rautenbach, Rofhiwa Ravele, Johannes Reachable, Peta Mmalahla Rebecca, Kessendri Reddy, Andrew Redfern, Robertha Reed, Mumsy Rees, Dr Reji, Gary Reubenson, Veena Rewthinarain, Paul Rheeder, Nkonayani Rhulani, Mufamadi Richard, J.S Rikhotso, Shatimone Beverley Rikhotso, Lavhelani Ndivhaleni Robert, Noncedo Roto, Gideon Ruder, Kapil Rugnath, Lizette Ruiters, Mina Ruiters, Sue Russell, Lynn Ruwiza, Molokoane RY, Mandy Saaiman, Emmanuel Sabela, Lerato Sadiq, Litha Saki, HYPPOLITE SALAMBWA, Menitha Samjowan, Nazlee Samodien, Rakgolele Samuel, Fakudze Sandile, Cekuse Sanelisiwe, Mandlankosi Sani, Simangele Sawuka, Lelani Schoeman, Magriet Scholts, Ronel Schroder, Mamotetekoane Sebalabala, Selwalenkwe Collet Sebati, Jacoline Seboko, Wilheminah Sebuthoma, Annah Segami, Ruth Segokotlo, MR Sehloho, Khutjo Seisa, Antony Sekgobela, Monica Sekhosana, John Sekonyela, Mpho Sekoto, Naledi Sekulisa, Mokgadi Vanessa Sekwadi, Lebogo Selaelo, Johannes Selatlha, Kgomotso Selekolo, William Selfridge, Lucy Semenya, Ivy Sengakane, Masabata Sengata, Petronella Sentle, Malebo Seoketsa, Pratheesha Seonandan, Thomas Mambushi Serumula, Nkululeko Setheni, Refiloe Setlale, Tumediso Setlhodi, Barbara Setlhodi, Robert Setloghele, Aarthi Sewpersad, Ryan Sewpersadh, Phumlile Shabalala, Owen Shabangu, Kungesihe Shabangu, Harriet Sbonangaye Shabangu, Doctor Thokozani Shabangu, Clifford Shadi, Hasifa Shaik, Tseliso Shale, Qedani Shandu, Nomvelo Shandu, Ntswaki Marcia Shange, Abongile Shenxane, A Sherriff, Sebenzile Shezi, Thenjiwe Shezi, Scally Shihangule, Cheyeza Shikwambana, Lungisani Shoba, Kamogelo shokane, Nora Sibande, Lydia Sibeko, Xolani Sibeko, Zanele Sibiya, Mncedisi Sibiya, Sphamandla Sibuta, Thembakazi Sifumba, Sipho Sigcau, Lutho Sigila, Kayakazi Sihentshe, Bongani Sihlangu, Daisy Sikhakhane, Shaun Nhlanhla Sikhakhane, Mbali Siko, Sipho Sikonje, Khumbulekile Simanga, Nomsa Simango, Thulisile Simela, Ntombikayise Simelane, Sashah Singh, Marjorie Singh, Mrs Ragani Singh, Shash Singh, Anita Singh, Hitekani Sithole, Senzekile Sithole, Ntokozo Danielle Sithole, Koketso Maxwell Sithole, Jonnie Situma, Annie Sivraman, Katekani Siwela, Nonqubela Siyewuyewu, Maweya Sizeka, Nonceba Siziba, Andrew Skhosana, Khanyisile Skhosana, RORISANG SKHOSANA, Tandiwe Skoko, Sunet Slabbert, Ntombela Smangaliso, Christine Smedley, Lydia Smit, Natassia Smit, Lizelle Smit, Michelle Smit, Fasie Smith, Lizzie Smith, Sunell Smith, Cassius Smith, Stefan Smuts, Ayanda Sofe, Khobane Solomon, LJ Solomon, chauke Sombani, RICHARD SONGCA, Anga Sontamo, Supriya Soorju, Zubenathi Sopazi, Brian Soqasha, Bongiwe Sosibo, Ntsika Sotsaka, Mandy Soula, Simon Spoor, Sarah Stacey, Asanda Stali, Mutele Mmboniseni Stephina, Myra Steup, Sinoxolo Steven, AW Stevens, Vincent Stevens, Dewald Steyn, Bianca Steyn, Pat Stocks, Henk Stolk, Alida Stoltz, Renate Strehlau, Anneke Stroebel, Loraine Strydom, Jean-Marie Strydom, Anton Strydom, Ursula Strydom, Midhu Sunnyraj, Nwabisa Swana, Winnie Swanepoel, Suzan Swanepoel, Elsie Swartbooi, Estley Swartz Swartz, Casandra Syce, Shihambi T.E, Joyce Tabane, NE Tabane, Mrs Tawana, Ntene Tebello, Siphosetu Wiseman Tembe, Samantha Terblanche, Ntombifuthi Thabede, Nkhumeleni Thabelo, Sibusiso Thabethe, Lekhanya Thabo George, Keorapetse Thare, Makofane Thebogo, Lerato Thekiso, Lloyd Theko, Celimphilo Zandi Themba, Danie Theron, Henda Theron, Ilze Theron, Thandiwe Thingathinga, M.M THLABADIRA, Dikeledi Thoka, Zanele Thokwana, Gustav Thom, Mamphot Joel Thubakgale, Theodora Thwala, P Thys, Monethi Tieho, Matodzi Timothy, Ndlovu Tintswalo, Babalwa Tivana, Molefi Tladi, Bongiwe Tokota, Simthandile Toni, Ariel Torres, Mande Toubkin, Marinda Tsatsi, Khanyisile Tshabalala, Nozibele Tshamase, Gontse Tshefu, Makgoga Tshegofatjo, Given Tshikomba, Thapelo Tshilo, Lerato Tshira, S.T Tshirado, Maipfi Tshisikule, G Tsoke, N TSOKE, Alatha Tsoko, Mosele Tsotetsi, SANDEVA TSUBELLA, Noxolo Tuswa, Maipato Tutse, Nomayenzeke Tutu, Sphephelo Twala, Nhlanhla Twala, Simphiwe Twala, John Ubisi, Tefo Unathi, A Van Aswegen, Marietjie van der Merwe, Trudie van der Merwe, Patience van der Plank, Elmarie van der Spuy, Linda Van Der Westhuizen, Adele Van Der Westhuizen, Talana van der Westhuizen, Mene van der Westhuyzen, Thea Van Dyk, Ingrid van Heerden, Ryno van Jaarsveld, M Van Lill, Heidi van Niekerk, Ben van Niekerk, Amanda van Rensburg, Judy van Schallwyk, Zeitschke Yarnrich Van Sensie, Magda van Vuuren, Cloete van Vuuren, Olga Funiswa Vandu, Mandisa Vane, Lucia VanZyl, Ebrahim Variava, Mariam Veerus, Nokhwezi Velapi, Sebina Veleko, Z. Velezantsi, Retha Venter, Corlia Vergottini, Inga Vermeulen, Liabara Lufuluvhi Vidah, Bongani Vilakazi, Treasure N Vilakazi, Mbalenhle Precious Vilakazi, Karen Viljoen, Werner Viljoen, Zuretha Volschenk, Angelo Vos, Matlala VV, Jacques Walters, Kate Webb, John Welsh, D WESSELS, Judy Wheller, Fundile White, Priscilla White, Carmen Whyte, Ansie Willemse, Sape William, Daniel Williams, Kamielah Williams, Mercia Williams, Anne Williamson, Cherade Wilson, Boipelo Wolff, Michelle Wray, Ntombizonke B Xaba, Thabang Jabulani Xaba, Thanks Xiniwe, Mtshali Xoliswa, Funokwakhe Xulu, Gibson Xulu, Sandlakazi Yam, NM Zakhura, Mashela Zareloa, Sive Zinto, Dyibeni Zinziswa, Lulamile Ziselo, Zakhele Zitha, Emmanuel Zitha, Anele Zokufa, Innocent Zondi, Sikhumbuzo Bernard Zondi, Sbuyi Zondi, Thulani Zondi, Wandiswa Zongola, Liesl Zühlke, Zandile Zulu, LUNGELO ZULU, Thandeka Zulu, Slindili Zulu, Nkosinathi Zulu, Angel Zuma, precious Zungu, Pamela Zungu, Melusi Zungu, Priscilla Zungu, Bongo Lihle Zwakala, Antonia Zwane, Promise Zwane, Muziwendoda Zwane, Hlengiwe Priscila Zwane, and Nomgcobo Zwane
Subjects: Coronavirus disease 2019 (COVID-19), SARS-CoV-2, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Incidence (epidemiology), COVID-19, Articles, General Medicine, Odds ratio, Logistic regression, Wave period, South Africa, Humans, Medicine, Prospective cohort study, business, Demography, Cohort study
Abstract: Background The first wave of COVID-19 in South Africa peaked in July, 2020, and a larger second wave peaked in January, 2021, in which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality and other patient characteristics between the first and second waves. Methods In this prospective cohort study, we analysed data from the DATCOV national active surveillance system for COVID-19 admissions to hospital from March 5, 2020, to March 27, 2021. The system contained data from all hospitals in South Africa that have admitted a patient with COVID-19. We used incidence risk for admission to hospital and determined cutoff dates to define five wave periods: pre-wave 1, wave 1, post-wave 1, wave 2, and post-wave 2. We compared the characteristics of patients with COVID-19 who were admitted to hospital in wave 1 and wave 2, and risk factors for in-hospital mortality accounting for wave period using random-effect multivariable logistic regression. Findings Peak rates of COVID-19 cases, admissions, and in-hospital deaths in the second wave exceeded rates in the first wave: COVID-19 cases, 240·4 cases per 100 000 people vs 136·0 cases per 100 000 people; admissions, 27·9 admissions per 100 000 people vs 16·1 admissions per 100 000 people; deaths, 8·3 deaths per 100 000 people vs 3·6 deaths per 100 000 people. The weekly average growth rate in hospital admissions was 20% in wave 1 and 43% in wave 2 (ratio of growth rate in wave 2 compared with wave 1 was 1·19, 95% CI 1·18–1·20). Compared with the first wave, individuals admitted to hospital in the second wave were more likely to be age 40–64 years (adjusted odds ratio [aOR] 1·22, 95% CI 1·14–1·31), and older than 65 years (aOR 1·38, 1·25–1·52), compared with younger than 40 years; of Mixed race (aOR 1·21, 1·06–1·38) compared with White race; and admitted in the public sector (aOR 1·65, 1·41–1·92); and less likely to be Black (aOR 0·53, 0·47–0·60) and Indian (aOR 0·77, 0·66–0·91), compared with White; and have a comorbid condition (aOR 0·60, 0·55–0·67). For multivariable analysis, after adjusting for weekly COVID-19 hospital admissions, there was a 31% increased risk of in-hospital mortality in the second wave (aOR 1·31, 95% CI 1·28–1·35). In-hospital case-fatality risk increased from 17·7% in weeks of low admission (8000 admissions; aOR 1·24, 1·17–1·32). Interpretation In South Africa, the second wave was associated with higher incidence of COVID-19, more rapid increase in admissions to hospital, and increased in-hospital mortality. Although some of the increased mortality can be explained by admissions in the second wave being more likely in older individuals, in the public sector, and by the increased health system pressure, a residual increase in mortality of patients admitted to hospital could be related to the new Beta lineage. Funding DATCOV as a national surveillance system is funded by the National Institute for Communicable Diseases and the South African National Government.
Published: 2021

12. Cysticercal brain abscess: a distinct entity mimicking pyogenic brain abscess in the colloidal vesicular stage

Author: Subhas Konar, Anita Mahadevan, Nishanth Sadashiva, B Indira Devi, and Radhika Mhatre
Subjects: Pathology, medicine.medical_specialty, business.industry, Short Communication, Neurocysticercosis, bacterial infections and mycoses, medicine.disease, Lesion, Solitary lesion, medicine, Small Lesion, Parasitology, Differential diagnosis, medicine.symptom, Stage (cooking), business, Abscess, Brain abscess
Abstract: Cysticercal brain abscess is a rare entity with the clinical presentation and radiological findings closely mimicking a pyogenic abscess. We report three cases of cysticercal abscess presenting as solitary lesion in the brain with radiological appearance like an abscess. All the patients underwent excision of the lesion with histopathological diagnosis of cysticercal brain abscess with evidence of cysticerci in the colloidal vesicular stage. The clinical outcome was satisfactory after surgical excision. Cysticercal abscess, though rare, should be considered as a differential diagnosis of a solitary rim-enhancing lesion, mainly if the patients belong to the endemic zone of neurocysticercosis. Surgical excision with or without a short course of the anti-parasitic agent is the treatment of choice for the intracranial mass lesion with evidence of mass effect For the small lesion of cysticercal brain abscess or early stage of abscess, anti-parasitic medication and steroids can be considered.
Published: 2021

13. Vision-Related Quality of Life and Its Sociodemographic Correlates Among Individuals With Visual Impairments

Author: G. Nageswar Rao, Amrita Kumari Konar, and Ansuman Panigrahi
Subjects: Gerontology, medicine.medical_specialty, genetic structures, business.industry, Public health, Rehabilitation, Visual impairment, humanities, eye diseases, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Quality of life, 030221 ophthalmology & optometry, medicine, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Introduction: Visual impairment is an important public health concern worldwide that negatively affects quality of life (QOL). We aimed to assess the vision-related QOL and determine its sociodemographic correlates among individuals with visual impairments. Methods: We carried out a cross-sectional study during the years 2016–2017 among 201 individuals with visual impairments aged ≥ 40 years. After obtaining informed consent, we collected relevant information regarding sociodemographic characteristics using a pretested questionnaire and assessed vision-related QOL using the National Eye Institute Visual Function Questionnaire (VFQ-25). An ophthalmologist conducted comprehensive ophthalmic examinations of all the eligible study participants. Results: The mean VFQ-25 composite score was 52.91 + 7.61. The subscale score was highest for color vision (72.39 + 21.71) and worst in the dependency subscale (31.43 + 25.2). Multivariable ordinal regression revealed that variables such as gender, place of residence, household overcrowding, dietary habits, practicing exercise or yoga, and type of eye disorder were significantly ( p< .05) associated with the QOL of individuals with visual impairments. Discussion: The QOL among individuals with visual impairments was poor in our study. Further research is needed to establish associations of various factors with the QOL. Implications for practitioners: Incorporating these determinants of vision-related QOL in the existing strategies could be useful for health care providers and social service providers in promoting the well-being of individuals with visual impairments.
Published: 2021

14. Comparison of the Therapeutic Efficacy of TENS vs Ultrasound-guided Genicular Nerve Block in Patients with Knee Osteoarthritis

Author: Ambar Konar, Ishita Dey, Rajesh Pramanik, and Vasundhara Ghosal
Subjects: medicine.medical_specialty, business.industry, medicine.medical_treatment, Osteoarthritis, medicine.disease, Transcutaneous electrical nerve stimulation, Ultrasound guided, law.invention, Surgery, Psychiatry and Mental health, Knee pain, law, Nerve block, Medicine, In patient, medicine.symptom, Ultrasonography, business
Published: 2021

15. Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

Author: Obbina Abani, Ali Abbas, Fatima Abbas, Mustafa Abbas, Sadia Abbasi, Hakam Abbass, Alfie Abbott, Nabeel Abdallah, Ashraf Abdelaziz, Mohamed Abdelfattah, Bushra Abdelqader, David Abdo, Basir Abdul, Althaf Abdul Rasheed, Ajibode Abdulakeem, Rezan Abdul-Kadir, Amina Abdulle, Abdulfatahi Abdulmumeen, Rasheed Abdul-Raheem, Niyaz Abdulshukkoor, Kula Abdusamad, Yazeed Abed El Khaleq, Mai Abedalla, Abeer Ul Amna Abeer Ul Amna, Katrina Abernethy, Adebanke Aboaba, Hani Abo-Leyah, Ahmed Abou-Haggar, Mahmoud Abouibrahim, Miriam Abraham, Tizzy Abraham, Abraheem Abraheem, Judith Abrams, Hyacinth-John Abu, Ahmed Abu-Arafeh, Syed M Abubacker, Akata Abung, Yaa Aceampong, Amaka Achara, Devikumar Acharya, Sarah Acheampong, Janet Acheson, Andres Acosta, Catherine Acton, Jacqueline Adabie-Ankrah, Sara Adair, Fiona Adam, Matthew Adam, Huzaifa Adamali, Carol Adams, Charlotte Adams, Kate Adams, Lisa Adams, Richard Adams, Tim Adams, Kirsty Adcock, Jemaimah Addai, Ade Adebiyi, Ken Adegoke, Vicki Adell, Debo Ademokun, Sherna Adenwalla, Oluwasegun A Adesemoye, Emmanuel O Adewunmi, Joyce Adeyemi, Rina Adhikary, Gabrielle Adkins, Adnan Adnan, John Aeron-Thomas, Debbie Affleck, Dominic Affron, Carmel Afnan, Muhammad Afridi, Zainab A Aftab, Meenakshi Agarwal, Rachel Agbeko, Chris Agbo, Penny Agent, Sunil Aggarwal, Arameh Aghababaie, Shafana Ahamed Sadiq, Mohamed H Ahammed Nazeer, Humayun Ahmad, Mohammad Ahmad, Syed Ahmad, Asim Ahmed, Bilal Ahmed, Forizuddin Ahmed, Hamze Ahmed, Iram Ahmed, Irshad Ahmed, Khaled Ahmed, Liban Ahmed, Mahin Ahmed, Maria C Ahmed, Muhammad S Ahmed, Naseer Ahmed, Nausheen Ahmed, Osama Ahmed, Rajia A Ahmed, Rizwan Ahmed, Saif Ahmed, Sammiya Ahmed, Sara Ahmed, Sophia Ahmed, Syed Ahmed, Syed Haris Ahmed, Roa Ahmed Ali, Sana Ahmed, Sana Ahmer, Dhiraj Ail, Mark Ainsworth, Giulia Airoldi, Myriam Aissa, Lindianne Aitken, Bini Ajay, Francis Ajeneye, Abdulakeem Ajibode, Ayesha Ajmi, Tahir Akbar, Naim Akhtar, Nasim Akhtar, Nauman Akhtar, Suha Akili, Oludoyinsola Akindolie, Yinka Akinfenwa, Olugbenga Akinkugbe, Ibrahim Akinpelu, Olajide Akinwumiju, Olugbenro Aktinade, Ahmad Al Aaraj, Asma Al Balushi, Majd Al Dakhola, Aladdin Al Swaifi, Eslam Al-Abadi, Narendra Aladangady, Ayaz Alam, Sajid Alam, Abbas Al-Asadi, Karina Al-Asadi, Kyriaki Alatzoglou, Manaf Al-Bayati, Paul Albert, Lorraine Albon, Gemma Alcorn, Stephen Alcorn, Aggie Aldana, David Alderdice, Rayan Aldouri, Jonathan Aldridge, Nicolas Aldridge, Ana Alegria, Alison Alexander, John Alexander, Peter D G Alexander, Charlotte Alford, Julyan Al-Fori, Laith Alghazawi, Bahij Al-Hakim, Shams Al-Hity, Ali Ali, Asad Ali, Fawzia R Ali, Hoodo Ali, Jawad Ali, Mariam Ali, Mohammad Ali, Nayab Ali, Oudai Ali, Sabira Ali, Sakina Ali, Syed Ali, Abid Alina, Fine Aliyuda, Katrin Alizadeh, Maithem Al-Jibury, Saba Al-Juboori, Majid Al-Khalil, Moutaz Alkhusheh, Allameddine Allameddine, Fiona Allan, Rachel Allan, Alison Allanson, Robert Allcock, Beverley Allen, Eireann Allen, Jess Allen, Kerry Allen, Laura Allen, Louise Allen, Poppy Allen, Rebecca Allen, Sam Allen, Sharon Allen, Simon Allen, Kathryn Allison, Bethan Allman, Lynne Allsop, Hassan Al-Moasseb, Magda Al-Obaidi, Lina Alomari, Akram Al-Rabahi, Bahar Al-Ramadhani, Zayneb Al-Saadi, Inji Alshaer, Rustam Al-Shahi Salman, Warkaq Al-Shamkhani, Bashar Al-Sheklly, Sara Altaf, Mary Alvarez, Balaal Alyas, Maysaa Alzetani, Susan Amamou, Noor Amar, Sakkarai Ambalavanan, Sarah-Jayne Ambler, Robert Ambrogetti, Chris Ambrose, Amir Ameen, Kenneth Amenyah, Maria R Amezaga, Allison Amin, Amina Amin, Kanish Amin, Syed Amin, Tara Amin, Amjad Amjad, Neelma Amjad, Mariam Ammoun, Victoria Amosun, Khaled Amsha, Pugh Amy, Atul Anand, Rekha Anand, Samantha Anandappa, Julie Anderson, Kevin Anderson, Laura Anderson, Michelle Anderson, Nicola Anderson, Rachel Anderson, Rory Anderson, Wendy Anderson, Prematie Andreou, Angela Andrews, Antonette Andrews, Jill Andrews, Susan Andrews, Gregory Andrikopoulos, Kanayochukwu Aneke, Andrew Ang, Wan Wei Ang, Tammy Angel, Aramburo Angela, Paola Angelini, Lazarus Anguvaa, Oleg Anichtchik, Millicent Anim-Somuah, Krishnan Aniruddhan, Jessica Annett, Patrick J Anstey, Rebekah Anstey, Alpha Anthony, Aaron Anthony-Pillai, Philip Antill, Zhelyazkova Antonina, Varghese Anu, Muhammad Anwar, George Apostolides, Aristeidis Apostolopoulos, Sarah Appleby, Diane Appleyard, Maia Far Aquino, Bianca Araba, Samuel Aransiola, Mariana Araujo, Emily Arbon, Ann Archer, Denise Archer, Simon Archer, Christian Ardley, Ana-Maria Arias, Ryoki Arimoto, Charlotte Arkley, Charlotte Armah, Ilianna Armata, Adam Armitage, Ceri Armstrong, Maureen Armstrong, Sonia Armstrong, Sylvia Armstrong-Fisher, Philippa Armtrong, Heike Arndt, Clare Arnison-Newgass, David Arnold, Rachael Arnold, Sarah Arnott, Dhawal Arora, Kavan Arora, Pardeep Arora, Rishi Arora, Andrea Arroyo, Arslam Arter, Ayush Arya, Rita Arya, Denisa Asandei, Adeeba Asghar, Catherine Ashbrook-Raby, Glen Ashby, Helen Ashby, Jan Ashcroft, John Ashcroft, Samuel Ashcroft, Deborah Asher, Ayesha Ashfaq, Ben Ashford, Suhail Ashgar, Abdul Ashish, Sally Ashman-Flavell, Sundar Ashok, Abd-El-Aziz Ashour, Muhammad Z Ashraf, Saima Ashraf, Mohammad B Ashraq, Deborah Ashton, Susan Ashton, Andrew Ashworth, Rebecca Ashworth, Arshia Aslam, Harshini Asogan, Abigail Asquith, Atif Asrar, Omar Assaf, Raine Astin-Chamberlain, Richard Athay-Hunt, Deborah Athorne, Billie Atkins, Christopher Atkins, Stacey Atkins, John Atkinson, Vicki Atkinson, Brygitta Atraskiewicz, Claire Atterbury, Abdul Ahmad Attia, Rita Atugonza, Paula Aubrey, Avinash Aujayeb, Aye Chan Thar Aung, Hnin Aung, Kyaw Thu Aung, Ni Aung, Yin Aung, Zaw Myo Aung, Emily Austin, Karen Austin, Abdusshakur Auwal, Miriam Avery, Joanne Avis, Georgina Aviss, Cristina Avram, Paula Avram, Gabriel Awadzi, Atia Awan, Aszad Aya, Eman Ayaz, Amanda Ayers, Jawwad Azam, Mohammed Azharuddin, Ghazala Aziz, N Aziz, Ali Azkoul, Ashaari Azman Shah, Giada Azzopardi, Hocine Azzoug, Fiyinfoluwa Babatunde, Melvin Babi, Babiker Babiker, Gayna Babington, Matthew Babirecki, Marta Babores, Adetona O Babs-Osibodu, Sammy Bacciarelli, Roudi Bachar, Gina Bacon, Jenny Bacon, Bibi Badal, Gurpreet R Badhan, Shreya Badhrinarayanan, Joseph P Bae, Sibel Bafekr Mishamandani, Alice Baggaley, Amy Baggott, Graham Bagley, Dinesh Bagmane, Lynsey Bagshaw, Kasra Bahadori, James Bailey, Katie Bailey, Lindsey Bailey, Liz Bailey, Morgan Bailey, Pippa Bailey, Sarah Bailey, Stephen Bailey, Hamish Baillie, J Kenneth Baillie, Jennifer Bain, Sanchia Baines, Vikram Bains, Aimi Baird, David Baird, Susan Baird, Tracy Baird, Yolanda Baird, Aiysha Bajandouh, Charles Baker, Emma Baker, Evelyn Baker, Johanne Baker, Josephine Baker, Kenneth Baker, Rebecca Baker, Terri-Anne Baker, Victoria Baker, Hugh Bakere, Nawar Bakerly, Michelle Baker-Moffatt, Nauman Bakhtiar, Panos Bakoulas, Julie Balaam, Niranjan Balachandran, Andrea Balan, Theodosios Balaskas, Madhu Balasubramaniam, Alison Balcombe, Alexander Baldwin, Ashley Baldwin, Caron Baldwin, Danielle Baldwin, Rebekah Baldwin-Jones, James Balfour, Gagan Bali, Sonya Balkee, Ceri Ball, Kasia Ballard, Amy Ballinger, Ismael Balluz, Craig Balmforth, Emese Balogh, Amir Baluwala, Gabby Bambridge, Alasdair Bamford, Amy Bamford, Peter Bamford, Adefunke Bamgboye, Elizabeth Bancroft, Hollie Bancroft, Tanya Bancroft, Joyce Banda, Krishna Bandaru, Srini Bandi, Nageswar Bandla, Somaditya Bandyopadhyam, Amit Banerjee, Millie Banerjee, Ritwik Banerjee, Harrison Banks, Lauren Banks, Luke Banks, Paul Banks, Oliver Bannister, Bharat Bansal, Robert Banthorpe, Laura Banton, Mariamma Baptist, Tanya Baqai, Ananya Mouli Baral, Desislava Baramova, Alex Barber, Russel Barber, Emma Barbon, Miriam Barbosa, Monica Barbosa, Jamie Barbour, Alexander Barclay, Claire Barclay, George Bardsley, Stephanie Bareford, Shahedal Bari, Amy Barker, Debbie Barker, Helen Barker, Joseph Barker, Leon Barker, Oliver Barker, Kerry Barker-Williams, Sinha Barkha, Juliana Barla, Gavin Barlow, Richard Barlow, Valerie Barlow, James Barnacle, Alex Barnard, Debi Barnes, Nicky Barnes, Theresa Barnes, Calum Barnetson, Amy Barnett, Matthew Barnett, Ashton Barnett-Vanes, William Barnsley, Andrew Barr, David Barr, Shaney Barratt, Manuella Barrera, Amy Barrett, Fiona Barrett, Jessica Barrett, Joe Barry, Jazz Bartholomew, Claire Bartlett, Georgina Bartlett, Greg Barton, Jill Barton, Lorna Barton, Rachael Barton, Rosaleen Baruah, Sonia Baryschpolec, Archana Bashyal, Betsy Basker, Ayten Basoglu, Gilda Bass, John Bassett, G Bassett, Chris Bassford, Pavinder Bassi, Betsy Bassis, Bengisu Bassoy, Victoria Bastion, Anupam Basumatary, Tristan Bate, Harry J Bateman, Ian Bateman, Kathryn Bateman, Vhairi Bateman, Eleanor Bates, Hayley Bates, Michelle Bates, Simon Bates, Sally Batham, Ana Batista, Amit Batla, Dushyant Batra, Donna Batty, Harry Batty, Thomas Batty, Peter Baughan, Miranda Baum, Carina Bautista, Fareha Bawa, Fatima S Bawani, Simon Bax, Lydia Baxter, Matt Baxter, Nicola Baxter, Zachary Baxter, Hannah Bayes, Charlotte Baylem, Lee Bayliss, Eileen Bays, Farid Bazari, Rohit Bazaz, Ahmad Bazli, Laura Beacham, Wendy Beadles, Philip Beak, Andy Beale, Kirk Beard, Jack Bearpark, Karen Beaumont, Dawn Beaumont-Jewell, Theresa Beaver, Sarah Beavis, Christy Beazley, Sarah Beck, Virginia Beckett, Rosie Beckitt, Heidi Beddall, Seonaid Beddows, Deborah Beeby, Gail Beech, Michelle Beecroft, Sally Beer, Jane Beety, Gabriela Bega, Alison Begg, Susan Begg, Sara Beghini, Ayesha Begum, Salman Begum, Selina Begum, Teresa Behan, Jasmine Beharry, Roya Behrouzi, Jon Beishon, Claire Beith, James Belcher, Holly Belfield, Katherine Belfield, Ajay Belgaumkar, Dina Bell, Gareth Bell, Gill Bell, Gillian Bell, Joshua Bell, Lauren Bell, Louise Bell, Nicholas Bell, Pippa Bell, Stephanie Bell, Jennifer L Bell, Jennifer Bellamu, Mary Bellamy, Arianna Bellini, Amanda Bellis, Fionn Bellis, Lesley Bendall, Naveena Benesh, Nicola Benetti, Leonie Benham, Guy Benison-Horner, Alexander Bennett, Ann Bennett, Caroline Bennett, Christopher Bennett, Gillian 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Bintcliffe, Catherine Birch, Jenny Birch, Louann Birch, Janet Birchall, Katherine Birchall, Sam Bird, Sumedha Bird, Charndip Biring, Mark Birt, Raquel Bisa, Kilanalei Bishop, Linda Bishop, Lisa Bishop, Karen Bisnauthsing, Nibedan Biswas, Sahar Biuk, Karen Blachford, Ethel Black, Helen Black, Karen Black, Mairead Black, Polly Black, Hayley Blackgrove, Bethan Blackledge, Joanne Blackler, Samantha Blackley, Helen Blackman, Stuart Blackmore, Caroline Blackstock, Loraine Blackwood, Francesca Blakemore, Helen Blamey, Alison Bland, Sujata Blane, Simon Blankley, Mary Blanton, Parry Blaxill, Jenny Blaxland, Katie Blaylock, Jane Blazeby, Carol Blears, Natalie Blencowe, Donna Blofield, Ben Bloom, Jack Bloomfield, Angela Bloss, Hannah Bloxham, Louise Blundell, Andrew Blunsum, Mark Blunt, Ian Blyth, Kevin Blyth, Andrew Blythe, Karen Blythe, Marilyn Boampoaa, Boniface Bobie, Karen Bobruk, Pritesh Bodalia, Neena Bodasing, Tanya Bodenham, Sherin Bodh, Gabriele Boehmer, Marta Boffito, Kristyna Bohmova, Sumit Bokhandi, Maria Bokhar, Saba Bokhari, Sakina Bokhari, Syed Owais Bokhari, Ambrose Boles, Sarah Bollington, Sam Bolton, Charlotte Bomken, Charlotte Bond, Hayley Bond, Helena Bond, Stuart Bond, Thomas Bond, Alice Bone, Georgia Boniface, Wendy Bonnert, Lizzy Bonney, Leigh Boorman, Catherine Booth, Joanne Borbone, Cameron Borhani, Naomi Borman, Rachel Borrell, Mamu Boshir, Fiona Bottrill, Laura Bough, Hayley Boughton, Zoe Boult, Miriam Bourke, Stephen Bourke, Michelle Bourne, Rachel Bousfield, Lucy Boustred, Darren Bowen, Kaye Bowen, Alexandra Bowes, Amy Bowes, Philip Bowker, Louise Bowman, Simon Bowman, Rachel Bowmer, Angie Bowring, Geoff Bowyer, Helen Bowyer, Carmel Boyd, Jenny Boyd, Laura Boyd, Maxine Boyd, Namoi Boyle, Pauline Boyle, Rosalind Boyle, Louise Boyles, Osman Bozdag, Leanna Brace, David Brack, Charlotte Brackstone, Rob Bradburn, Jodie Bradder, Barry Bradley, Clare Jane Bradley, Pamela Bradley, Patrick Bradley, Paul Bradley, Joanne Bradley-Potts, Lynne Bradshaw, Sarah Bradshaw, Zena Bradshaw, Rebecca Brady, Shirin Brady, Denise Braganza, Suhail Brailsford, Jill Braithwaite, Marie Branch, Thomas Brankin-Frisby, Jamie Brannigan, Louise Brassington, Sophie Brattan, Fiona Bray, Nancy Bray, Angela Brazier, Manny Brazil, Lucy Brear, Tracy Brear, Stephen Brearey, Laura Bremner, Morwenna Brend, Giovanna Bretland, Chris Brewer, Hannah Bridge, Gavin Bridgwood, Hayley Briggs, Mark Briggs, Sara Brigham, John Bright, Chris Brightling, Lutece Brimfield, Elaine Brinkworth, Robin Brittain-Long, Vianne Britten, Terri Brittin, Lauren Broad, Sarah Broad, Rosie Broadhurst, Andrew Broadley, Marie Broadway, Christopher Brockelsby, Megan Brocken, Tomos Brockley, Andrew Broderick, Mary Brodsky, Fiona Brogan, David Broggio, Liz Brohan, Felicity Brokke, Jacob Brolly, David Bromley, Hannah Brooke-Ball, Verity Brooker, Ceri Brookes, Matthew Brookes, Alison Brooks, Karen Brooks, Nicole Brooks, Philip Brooks, Rachel Brooks, Sophie Brooks, Natalie Broomhead, Chloe Broughton, 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Mika Burgess, Paula Burgess, Richard Burgess, Sophia Burgess, Paula Burgett, Adrian Burman, Sara Burnard, Caroline Burnett, John Burnett, Amanda Burns, Amy Burns, Collette Burns, James Burns, Karen Burns, Samuel Burns, Sarah Burns, Daniel Burrage, Sadie Burrage, Kate Burrows, Claire Burston, Ben Burton, Fiona Burton, Matthew Burton, Angela Busby, Deborah Butcher, Aaron Butler, Jessica Butler, Joanne Butler, Joshua Butler, Lesley Butler, Peter Butler, Susan Butler, Al-Tahoor Butt, Mohammad M Butt, Sophia Butt, Caryl Butterworth, Nicola Butterworth-Cowin, Robert Buttery, Tom Buttle, Heather Button, Daniel Buttress, Jane Byrne, Wendy Byrne, Victoria Byrne-Watts, Eleanor Byworth, Amanda Cabandugama, Ruth Cade, Anthony Cadwgan, Donna Cairney, James Calderwood, Darren Caldow, Moira Caldwell, Giorgio Calisti, Debbie Callaghan, Jennifer Callaghan, Claire Callens, Donaldson Callum, Caroline Calver, Melissa Cambell-Kelly, Tracey Camburn, David R Cameron, Eleanor Cameron, Fraser Cameron, Sarah Cameron, Sheena Cameron, Christian Camm, Renee F D Cammack, Alison Campbell, Amy Campbell, Barbara Campbell, Bridget Campbell, Debbie Campbell, Helen Campbell, Hilary Campbell, Jonathan Campbell, Mark Campbell, Robyn Campbell, Wynny Campbell, Quentin Campbell Hewson, Julie Camsooksai, Ana Canabarro, Lisa Canclini, Shaula Mae Candido, Janie Candlish, Cielito Caneja, Johnathon Cann, Ruby Cannan, Emma Cannon, Michael Cannon, Petra Cannon, Vivienne Cannons, Jane Cantliff, Ben Caplin, Santino Capocci, Noemi Caponi, Angelika Capp, Anne Capps-Jenner, Thomas Capstick, Ishmael Carboo, Nuria Cardenas, Mary Cardwell, Rachel Carey, Simon Carley, Tammy Carlin, Andrew Carlton, Samantha Carmichael, Mandy Carnahan, Rebecca Carnegie, Charlotte Caroline, Emily Carpenter, Jodi Carpenter, David Carr, Sharon Carr, Anna Carrasco, Samantha Carrington, Zoe Carrington, Paul Carroll, Caroline Carron, Anne Carstairs, Jonathan Carter, Michael Carter, Moira Carter, Paul Carter, Penny Carter, Steven Carter, Simon 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Chandler, Kim J Chandler, Stuart Chandler, Zoe Chandler, Vikki Chandler-Vizard, Sumit Chandra, Navin Chandran, Badrinathan Chandrasekaran, Cherry Chang, Yvonne Chang, Josephine Chaplin, Graeme Chapman, John Chapman, Katie Chapman, Laura Chapman, Lianne Chapman, Polly Chapman, Timothy Chapman, Lucy Chappell, Linda Chapple, Amanda Charalambou, Bethan Charles, Dianne Charlton, Sally Charlton, Kevin Chatar, Calvin Chatha, Ritesh Chaube, Muhammad YN Chaudhary, Iram Chaudhry, Nazia Chaudhuri, Muhammad Chaudhury, Anoop Chauhan, Ruchi S Chauhan, Vipul Chauhan, Nicola Chavasse, Iknam Chaven, Rosanna Chavez, Vipal Chawla, Maria Cheadle, Lindsay Cheater, James Cheaveau, Charlotte Cheeld, Michelle Cheeseman, Fang Chen, Hui Min Chen, Terence Chen, Lok Yin Cheng, Zhihang Cheng, Helen Chenoweth, Chun How Cheong, Shiney Cherian, Suzanne Cherif, Mary Cherrie, Helen Cheshire, Barry Chesterson, Betty Cheung, Chee Kay Cheung, Elaine Cheung, Michelle Cheung, Claire Cheyne, Swati Chhabra, Wei Ling Chia, Eric Chiang, Angela Chiapparino, Rosavic Chicano, Zviedzo A Chikwanha, Sam Chilcott, Phillipa Chimbo, KokWai Chin, Wen Jie Chin, Rumbidzai Chineka, Amol Chingale, Karen Chinn, Vashira Chiroma, Heather Chisem, Claire Chisenga, Ben Chisnall, Carolyn Chiswick, Sunder Chita, Nihil Chitalia, Matthew Chiu, Brenda Chivima, Catherine Chmiel, Soha Choi, Willy Choon Kon Yune, Vandana Choudhary, Sarah Choudhury, Bing-Lun Chow, Fateha Chowdhury, Mahibbur Chowdhury, Shahid Chowdhury, Victoria Christenssen, Peter Christian, Alexander Christides, Fiona Christie, Daniel Christmas, Thereza Christopherson, Mark Christy, Paris Chrysostomou, Yunli Chua, Shabs Chucha, Dip Chudgar, Richard Chudleigh, Srikanth Chukkambotla, Michael E Chukwu, Izu Chukwulobelu, Chi Y Chung, Ben Church, Elaine Church, Sara R Church, David Churchill, Nicole Cianci, Nick Ciccone, Paola Cicconi, Paola Cinardo, Zdenka Cipinova, Bessie Cipriano, Sarah Clamp, Melanie Clapham, Edel Clare, Sarbjit Clare, Andrew Clark, Charlotte Clark, Diane Clark, Felicity Clark, Gabrielle Clark, James Clark, Katherine Clark, Kaylea Clark, Louise Clark, Lucy Clark, Matthew Clark, Patricia Clark, Richard Clark, Thomas Clark, Wendy Clark, Zoe Clark, Andrea Clarke, Heather Clarke, Mark Clarke, Paul Clarke, Robert Clarke, Roseanne Clarke, Samantha Clarke, Sarah Clarke, Sheron Clarke, Tracy Clarke, Andrew Clarkson, Alleyna Claxton, Kate Clay, Elizabeth Clayton, Olivia Clayton, Jill Clayton-Smith, Chris Cleaver, Carlota Clemente de la Torre, Jayne Clements, Suzanne Clements, Francesca Clemons, Lee Clifford, Lynne Clifford, Rachael Clifford, Sarah Clifford, Amelia Clive, Jonathan Clouston, Samantha Clueit, Andrea Clyne, Michelle Coakley, Peter G L Coakley, Tony Coates, Kathryn Cobain, Alexandra Cochrane, Patricia Cochrane, Maeve Cockerell, Helen Cockerill, Shirley Cocks, Rachel Codling, Adam Coe, Samantha Coetzee, David Coey, Danielle Cohen, Jonathan Cohen, Oliver Cohen, Mike Cohn, Louise Coke, Olutoyin Coker, Nicholas Colbeck, Roghan 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Cooper, Chris Cooper, David Cooper, Helen Cooper, Jamie Cooper, Joanne Cooper, Joshua Cooper, Laura Cooper, Lauren Cooper, Nick Cooper, Rowena Cooper, Emma Cooperwaite, Thomas Cope, Sinead Corbet, Carolyn Corbett, John Corcoran, Chris Cordell, Jessica Cordle, Alasdair Corfield, John Corless, Alison Corlett, Joe Cornwell, Michael Cornwell, Diana Corogeanu, Mirella Corredera, Ruth Corrigan, Catherine Corry, Rita Corser, Denise Cosgrove, Tracey Cosier, Patricia Costa, Charlie Coston, Susannah Cotgrove, Zoe Coton, Lisa-Jayne Cottam, Rhiannon Cotter, Donna Cotterill, Alice Cotton, Caroline Cotton, Katy Cotton, Andrew Coull, James Coulson, David Counsell, David Counter, Cherry Coupland, Ellie Courtney, Julia Courtney, Rebecca Cousins, Alexander Cowan, Elena Cowan, Ruth Cowburn, Richard Cowell, Louise Cowen, Steve Cowman, Amanda Cowton, Debra Anne Cox, Ellie Cox, Giles Cox, Karina Cox, Miriam Cox, Karen Coy, Beverly Craig, Victoria Craig, Felicity Craighead, Matthew Cramp, Beverley Crane, Jacolene Crause, Adrian Crawford, Angie Crawford, Emma Crawford, Isobel Crawford, Richard Crawforth, Sarah Crawshaw, Ben Creagh-Brown, Andrew Creamer, Ryan Creighton, Joanne Cremona, Saveria Cremona, Janet Cresswell, Mark Cribb, Charles Crichton, Declan Crilly, Lauren Crisp, Nikki Crisp, Dominic Crocombe, Maria Croft, Ian Cron, Derrick Crook, Jennifer Crooks, Helen Croot, Harriet Crosby, Sarah Cross, Tim Cross, Amy Crothers, Stephen Crotty, Susan Crouch, Madeleine Crow, Amanda Crowder, Kate Crowley, Teresa Crowley, Rebecca Croysdill, Callum Cruickshank, Conor Cruickshank, Irena Cruickshank, James Cruise, Helen Crumley, Carina Cruz, Trino Cruz Cervera, Dominic Cryans, Guanguo Cui, Helen Cui, Donna Cullen, Lorraine Cullen, Gillian Cummings-Fosong, Marie Cundall, Victoria Cunliffe, Lorraine Cunningham, Neil Cunningham, Nicola Cunningham, Jason Cupitt, Hollie Curgenven, Debra Curley, Gerens Curnow, David Curran, Simon Curran, Craig Currie, Jacqueline Currie, Scarlett Currie, Abi Curtis, Becca Curtis, Jonathan Curtis, Katrina Curtis, Olivia Curtis, Thomas Curtis, Rebecca Cuthbertson, Sean Cutler, Marta Czekaj, Patrycja Czylok, Joana da Rocha, Andrew Dagens, Helen Daggett, Phil Daggett, Jacqui Daglish, Sandeep Dahiya, Helen Dakers-Black, Anne Dale, Katie Dale, Michaela Dale, Sam Dale, Jolyon Dales, Helen Dalgleish, Nikki Dallas, Helen Dallow, Dermot Dalton, Zoe Daly, Akila Danga, Amelia Daniel, Priya Daniel, Allison Daniels, Adela Dann, Sandra Danso-Bamfo, Nimo Daoud, Alex Darbyshire, Janet Darbyshire, Paul Dargan, Paul Dark, Tace Darling, Kate Darlington, Tom Darton, Guledew Darylile, Manjusha Das, Sukamal Das, Martin Daschel, Joanne Dasgin, Dibyendu Datta, Anna Daunt, Emily Davenport, Mark Davey, Michelle Davey, Miriam Davey, Molly Davey, Arlene David, Mini David, Alexander Davidson, Laura Davidson, Neil Davidson, Richard Davidson, Albert Davies, Alison Davies, Amanda Davies, Amy Davies, Angela Davies, Carolyn Davies, Catrin Davies, Cheryl Davies, Drew Davies, Elaine Davies, Ffyon Davies, Helen Davies, James Davies, Jane Davies, Jeni Davies, Jim Davies, Karen Davies, Kelly Davies, Kim Davies, Louisa Davies, Mark Davies, Matthew Davies, Michelle Davies, Nina Davies, Owen Davies, Patrick Davies, Rachel Davies, Rhys Davies, Ruth Davies, Sarah Davies, Simon Davies, Alison Davis, Gwyneth Davis, Illinos Davis, Julie-Ann Davis, Katherine Davis, Peter Davis, Alexander Davison, Sophia Davison, Mark Davy, Christine Dawe, H Dawe, Mark Dawkins, Danielle Dawson, Elizabeth Dawson, Joy Dawson, Susan Dawson, Tom Dawson, Andrew Daxter, Andrew Day, Helena Day, Jacob Day, Jeremy Day, Lynn Day, Jamie D'Costa, Parijat De, Duneesha de Fonseka, Toni de Freitas, Frederico De Santana Miranda, Eleanor de Sausmarez, Shanika de Silva, Thushan de Silva, Jessica De Sousa, Paulo De Sousa, James de Souza, Anthony de Soyza, Natasha de Vere, Johannes de Vos, Bethan Deacon, Sharon Dealing, Anna Dean, Julie Dean, Katrina Dean, Stephen Dean, Tessa Dean, Jill Deane, James Dear, Effie Dearden, Alison Deary, Catherine Deas, Samuel Debbie, Gabor Debreceni, Vashist Deelchand, Matthew Deeley, Joanne Deery, Emmanuel Defever, Raji Dehulia, Max Deighton, Manuela Del Forno, Arnold Dela Rosa, Lisa Delaney, Amanda Dell, Carrie Demetriou, David DeMets, Jane Democratis, Jacqueline Denham, Emmanuelle Denis, Laura Denley, Craig Denmade, Kathy Dent, Martin Dent, Elise Denton, Tom Denwood, Nishigandh Deole, Darshita Depala, Maria Depante, Randle Derbyshire, Susan Dermody, Amisha Desai, Asmita Desai, Purav Desai, Sanjeev Deshpande, Vai Deshpande, Brendan Devine, Sirjana Devkota, Nicola Dewland, Prakash Dey, Vishal Dey, Rogin Deylami, Jazz Dhaliwal, Kevin Dhaliwal, Jas Dhalliwal, Mandeep Dhanda, Sundip Dhani, Amandeep Dhanoa, Mili Dhar, Devesh Dhasmana, Aman Dhesi, Ekanjali Dhillon, Reiss Dhillon, Pamela Diamond, Priya Dias, Stephanie Diaz, Kayleigh Diaz-Pratt, Debbie Dickerson, Pamela Dicks, Stuart Dickson, Julie Dijo, Sean Dillane, Sarah Diment, Paul Dimitri, Maria Dineen, ThaiHa Dinh, Tri Dinh, Alex Dipper, Laura Dirmantaite, Lisa Ditchfield, Sarah Diver, Lavanya Diwakar, Caroline Dixon, Giles Dixon, Stephen Dixon-Mould, Brice Djeugam, Petr Dlouhy, Laurence Dobbie, Marinela Dobranszky Oroian, Charlotte Dobson, Lee Dobson, Marie Docherty, David Dockrell, James Dodd, Jackie Dodds, Rebecca Dodds, Steve Dodds, Richi Dogra, Erin Doherty, Warren Doherty, Yumiko Doi, Iain Doig, Eleanor Doke, Daniel Dolan, Mark Dolman, Rozzie Dolman, Lisa Donald, Callum Donaldson, Christopher Donaldson, Denise Donaldson, Gillian Donaldson, Kate Donaldson, Joanne Donnachie, Christopher Donnelly, Eilish Donnelly, Ronan Donnelly, Aravindhan Donohoe, Gemma Donohoe, Bryan Donohue, Sinead Donton, Emma Dooks, Grainne Doran, Kane Dorey, Sharon Dorgan, Amanda Dornan, Moonira Dosani, Davinder Dosanjh, Paula Dospinescu, Katie Douglas, Jonathan Douse, Lucy Dowden, Michelle Dower, Kerry Dowling, Sud Dowling, Nicola Downer, Charlotte Downes, Rob Downes, Thomas Downes, Damian Downey, Philippa Downey, Robert Downey, Louise Downs, Simon Dowson, Cornel Dragan, Cristina Dragomir, Cristina Dragos, Maire Drain, Chelsea Drake, Victoria Drew, Olivia Drewett, Celine Driscoll, Helena Drogan, Nikki Drogman, Graham Drummond, Ronald Druyeh, Simon Drysdale, An Du Thinh, Hazel Dube, Judith Dube, Ophias Dube, Stephen Duberley, Hayley Duckles-Leech, Nicola Duff, Emma Duffield, Sam Duff-Miller, Helen Duffy, Lionel Dufour, Annette Duggan, Helen Duggan, Parveen Dugh, Janice Duignan, Mick Duley, Simon Dummer, Andrew Duncan, Christopher Duncan, Fullerton Duncan, Gregory Duncan, Stephanie Dundas, Alessia Dunn, Charlotte Dunn, Damian Dunn, Laura Dunn, Paul Dunn, Charlene Dunne, Karen Dunne, Fiona Dunning, Aidan Dunphy, Venkat Duraiswamy, Beatriz Duran, Ingrid DuRand, Steve Durgacharan, Natalie Duric, Alison Durie, Emily Durie, Hannah Durrington, Haris Duvnjak, Akshay Dwarakanath, Laasya Dwarakanath, Ellen Dwyer, Claudia Dyball, Lee Dyble, Kristyn Dyer, Harvey Dymond, Tom Dymond, Chris Eades, Laura Eagles, Joanne Early, Melissa Earwaker, Nicholas Easom, Clare East, Kim East, Amy Easthope, Fraser Easton, Caroline Eaton, Caroline Eaton-Howell, Ruth Eatough, Adrian Ebbs, Oluwadamilola Ebigbola, Daniel Ebner, Martin Ebon, Sinan Eccles, Chloe Eddings, Michael Eddleston, Maureen Edgar, Katharine Edgerley, Nicholas Edmond, Julie Edmonds, Dave Edmondson, Mary Edmondson, Tracy Edmunds, Alexandra Edwards, Catherine Edwards, Joy Edwards, Kennedy Edwards, Mandy Edwards, Tomos Edwards, Jenny Eedle, Dawn Egginton, Loveth Ehiorobo, Sarah Eisen, Ugochukwu Ekeowa, Mohamed Ekoi, Ayomide Ekunola, Soha El Behery, Moulod El-Agnaf, Mohamed Elbeshy, Kate El-Bouzidi, Jennifer Elder, Mohammed El-Din, Diana Eleanor, Ibrahim Eletu, Eman Elfar, Mayy Magdy Elgamal, Amr Elgohary, Stellios Elia, Jennifer Elias, Tania Elias, Nadia Elkaram, Mohammed El-Karim, Andrew Victor Elkins, Julie Ellam, Nikki Ellard, Laura Nicola Ellerton, Lucy Elliot, Amy Elliott, Chris Elliott, Fiona Elliott, Kerry Elliott, Scott Elliott, Toby Elliott, Annie Ellis, Ann-Marie Ellis, Christine Ellis, Kay Ellis, Kaytie Ellis, Tak-Yan Ellis, Yvette Ellis, Megan Ellison, Rahma Elmahdi, Einas Elmahi, Hannah-May Elmasry, Mohammed Elmi, Najla Elndari, Omer Elneima, Mohamed Elokl, Ahmed Elradi, Mohamed Elsaadany, Sally El-Sayeh, Hana El-Sbahi, Tarek Elsefi, Karim El-Shakankery, Robert Elshaw, Hosni El-Taweel, Sarah Elyoussfi, Jonathan Emberey, Jonathan R Emberson, John Emberton, Julian Emmanuel, Ingrid Emmerson, Michael Emms, Florence Emond, Marieke Emonts, Nicu Enachi, Angila Engden, Katy English, Emma Entwistle, Hene Enyi, Marios Erotocritou, Helen Escreet, Peter Eskander, Hanif Esmail, Lise Estcourt, Amy Evans, Brynach Evans, Chris Evans, Daren Evans, Debra Evans, Gail Evans, Gareth Evans, Jennifer Evans, Lisa Evans, Lynn Evans, Margaret Evans, Michelle Evans, Mim Evans, Morgan Evans, Ranoromanana Evans, Ryan Evans, Teriann Evans, Terry John Evans, Tony Eve, Caroline Everden, Serenydd Everden, Hayley Evison, Lynsey Evison, Penny Eyton-Jones, Jacqueline Faccenda, Leila Fahel, Youstina Fahmay, Sara Fairbairn, Terry Fairbairn, Andy Fairclough, Louise Fairlie, Mark Fairweather, Anne Fajardo, Naomi Falcone, Euan Falconer, Jonathan Falconer, John Fallon, Andrea Fallow, David Faluyi, Victoria Fancois, Qayyum Farah, Novin Fard, Amr Farg, Margaret Farinto, Adam Farmer, Katie Farmer, Toni Farmery, Samantha Farnworth, Faiyaz Farook, Hadia Farooq, Sidrah Farooq, Fiona Farquhar, Karen Farrar, Aaron Farrell, Barbara Farrell, James Farthing, Syeda Farzana, Rahmatu Fasina, Azam Fatemi, Mina Fatemi, Nibah Fatimah, Maria Faulkner, Saul N Faust, Joe Fawke, Sinmidele Fawohunre, Abul Fazal, Kelly Feane, Simon Fearby, Alex Feben, Federico Fedel, Daria Fedorova, James Feely-Henderson, Christopher Fegan, Mae Felongco, Lynsey Felton, Tim Felton, Kate Fenlon, Andrea Fenn, Isabelle Fenner, Ciara Fenton, Melisa Fenton, Cameron Ferguson, Jenny Ferguson, Kathryn Ferguson, Katie Ferguson, Stephanie Ferguson, Susan Ferguson, Susie Ferguson, Victoria Ferguson, Denzil Fernandes, Candida Fernandez, Eduardo Fernandez, Maria Fernandez, Sonia Fernandez Lopez, Callum Jeevan Fernando, Ahmed Feroz, Pietro Ferranti, Thais Ferrari Gersogamo, Eleanor Ferrelly, Alexandra Ferrera, Emma Ferriman, Nicholas Fethers, Ben Field, Janet Field, Rebecca Field, Karen Fielder, Lindsey Fieldhouse, Andra Fielding, Julie Fielding, Len Fielding, Sarah Fielding, Asma Fikree, Sarah Ann Filson, Sarah Finbow, Debbie Finch, Joanne Finch, Laurie Finch, Joanne Finden, Natalie Fineman, Lauren Finlayson, Adam Finn, Joanne Finn, Clare Finney, Sofia Fiouni, Jo Fiquet, Dani Fisher, Emily Fisher, James Fisher, Neil Fisher, Meadow Fisher Crisp, Daniel Fishman, Krystofer Fishwick, Lorraine Fitzgerald, Chloe Fitzpatrick-Creamer, Jan Flaherty, Michael Flanagan, Charles Flanders, Cathy Flatters, Julie Fleming, Lucy Fleming, Paul Fleming, William Flesher, Alison Fletcher, Jonathan Fletcher, Lucy Fletcher, Simon Fletcher, Sophie Fletcher, Karen Flewitt, Christopher Flood, Ian Floodgate, Vincent Florence, Sharon Floyd, Kelly Flynn, Rachel Flynn, Sara Flynn, Claire Foden, Adama Fofana, Georgina Fogarty, Claire Foley, Paul Foley, Linda Folkes, Daniela Mock Font, Evodian Fonyonga, Aiwyne Foo, Jane Foo, Andrew Foot, Jayne Foot, Jane Forbes, Jamie Ford, Kathy Ford, Jennifer Foreman, Caroline Fornolles, Adam Forrest, Ellie Forsey, Miranda Forsey, Thomas Forshall, Elliot Forster, Julian Forton, Emily Foster, Joseph Foster, Rachel A Foster, Tracy Foster, Theodora Foukanelli, Angela Foulds, Ian Foulds, Folakemi Fowe, Emily Fowler, Robert Fowler, Stephen Fowler, Caroline Fox, Claire Fox, Daniel Fox, Heather Fox, Jonathan Fox, Lauren Fox, Natalie Fox, Olivia Fox, Simon Fox, Sarah-Jane Foxton, Yasin Fozdar, Rebecca Frake, Alex Francioni, Olesya Francis, Rebecca Francis, Sarah Francis, Theodora Francis-Bacon, Jason Frankcam, Helen Frankland, Gayle Franklin, Jessica Franklin, Darron Franks, Catherine Fraser, Laura Fraser, Sharon Frayling, Martyn Fredlund, Matthew Free, Carol Freeman, Elaine Freeman, Hannah Freeman, Nicola Freeman, Clare Freer, Ian Freestone, Eleanor French, Matthew Frise, Renate Fromson, Claire Froneman, Adam Frosh, John Frost, Victoria Frost, Oliver Froud, Rachel Frowd, Arun Fryatt, Jake Fryer, Janet Fu, Bridget Fuller, Liz Fuller, Neil Fuller, Tracy Fuller, Duncan Fullerton, Jenny Fullthorpe, Carrie Fung, Gayle Fung, Sarah Funnell, John Furness, Charlene Furtado, Andrew Fyfe, Nytianandan G, Elizabeth Gabbitas, Claire Gabriel, Diana Gabriel, Hadiza Gachi, Rose Gad, Joshua Gahir, Sarveen Gajebasia, Katarzyna Gajewska-Knapik, Zacharoula Galani, Christopher Gale, Hugo Gale, Rebecca Gale, Swetha Gali, Karen Galilee, Bernadette Gallagher, Jude Gallagher, Rosie Gallagher, William Gallagher, Joanne Galliford, Catherine Galloway, Chris Galloway, Emma Galloway, Jacqui Galloway, James Galloway, Laura Gamble, Liz Gamble, Brian Gammon, Jaikumar Ganapathi, Ramesh Ganapathy, Kaminiben Gandhi, Sarah Gandhi, Usha Ganesh, Abrar Gani, Emma-James Garden, Antoni D Gardener, Emma Gardiner, Jill Gardiner, Michael Gardiner, Phil Gardiner, Siobhan Gardiner, Caroline Gardiner-Hill, Jonathan Gardner, Mark Garfield, Atul Garg, Nathan Garlick, Justin Garner, Lucie Garner, Zoe Garner, Kimberley Garnett, Robert Garney, Rosaline Garr, Michael Garstka, Peter Gartan, Florence Garty, Rachel Gascoyne, Hyeriju Gashau, Noha Gasmalseed, Michaela Gaspar, Aoife Gatenby, Erin Gaughan, Alok Gaurav, Mariana Gavrila, Jane Gaylard, Emma Gaywood, Catherine Geddie, Alison Geddis, Ian Gedge, Sarah Gee, Minerva Gellamucho, Karzan Gelly, Leila Gelmon, Sandra Gelves-Zapata, Gemma Genato, Susan Gent, Natalie Geoghegan, Chloe George, Sam George, Tina George, Simon Georges, Domonique Georgiou, Peter Gerard, Leigh Gerdes, Louise Germain, Helen Gerrish, Abel Getachew, Louise Gethin, Hisham Ghanayem, Amardeep Ghattaoraya, Anca Gherman, Alison Ghosh, Justin Ghosh, Sudhamay Ghosh, Sarra Giannopoulou, Malick Gibani, Andrew Gibb, Ben Gibbison, Kerry Gibbons, Alex Gibson, Bethan Gibson, Kimberley Gibson, Kirsty Gibson, Sian Gibson, Cat Gilbert, Jeanette Gilbert, Joanne Gilbert, Kayleigh Gilbert, Sean Gilchrist, Benjamin Giles, Mandy Gill, Rose Gill, Lynne Gill, Paul Gillen, Annelies Gillesen, Katherine Gillespie, Matt Gillespie, Elizabeth Gillham, Andrew Gillian, Deborah Gilliland, Robert Gillott, Danielle Gilmour, Kate Gilmour, Theodora Giokanini-Royal, Anna Gipson, Joanna Girling, Rhian Gisby, Angelena Gkioni, Aikaterini Gkoritsa, Effrossyni Gkrania-Klotsas, Amy Gladwell, James Glanville, Jessica Glasgow, Susannah Glasgow, Jon Glass, Lynn Glass, Sharon Glaysher, Lisa Gledhill, Ana Glennon, John Glover, Kyle Glover, Jan Glover Bengtsson, Chevanthy Gnanalingam, Julie Goddard, Wendy Goddard, Emily Godden, Jo Godden, Gillian Godding, Emma Godson, Gerry Gogarty, Sukanya Gogoi, Aiky Goh, Rebeca Goiriz, Sriya Gokaraju, Philip Gold, Raphael Goldacre, Arthur Goldsmith, Portia Goldsmith, Darren Gomersall, Lucia Gomez, Raquel Gomez-Marcos, Ali Gondal, Celia Gonzalez, Jack Goodall, Bob Goodenough, Laura Goodfellow, James Goodlife, Camelia Goodwin, Elizabeth Goodwin, Jayne Goodwin, Paula Goodyear, Rajiv Gooentilleke, Sharif Goolam-Hossen, Michelle Goonasekara, Sheila Gooseman, Shameer Gopal, Peter Gordon, Sally Gordon, Hugh Gorick, Caitlin Gorman, Claire Gorman, Stuart Gormely, Diana Gorog, Jan Gorry, Michelle Gorst, Thomas Gorsuch, Jayshreebahen Gosai, Rebecca Gosling, Sally Gosling, Georgina Gosney, Vanessa Goss, Dzintars Gotham, Naomi Gott, Elizabeth Goudie, Amanda Gould, Angela Gould, Susan Gould, Lysander Gourbault, Anna Gouveia, Abha Govind, Sharon Gowans, Girish Gowda, Rohit Gowda, Pauline Gowdy, Hannah Gower, Thomas Gower, Pankaj Goyal, Sunil Goyal, Sushant Goyal, Beverley Graham, Clive Graham, Jane Graham, Jonathan Graham, Justin Graham, Libby Graham, Sharon Graham, Matthew Graham-Brown, Julia Grahamslaw, Gianluca Grana, Tracyanne Grandison, Louis Grandjean, Alison Grant, Ann Grant, David Grant, 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Jennie Hale, Carmel Halevy, Paul Halford, William Halford, Alistair Hall, Anthony Hall, Claire Hall, Elizabeth Hall, Emma Hall, Fiona Hall, Helen Hall, Jennifer Hall, Kathryn Hall, Bill Hall, Jan Hallas, Kyle Hallas, Charles Hallett, Becky-Lee Halls, Heather Halls, Maryam Hamdollah-Zadeh, Bilal Hameed, Imran Hamid, Mohamad Hamie, Bethany Hamilton, Fergus Hamilton, Leigh Hamilton, Nicola Hamilton, Ruth Hamlin, Eleanor Hamlyn, Beatrice Hammans, Shirley Hammersley, Kate Hammerton, Bev Hammond, Leah Hammond, Sara Hammond, Fiona Hammonds, Ibrahim Hamoodi, Karen Hampshire, Elizabeth Hampson, Jude Hampson, Lucy Hampson, Ozan Hanci, Ian Hancock, Sadiyah Hand, Jasmine Handford, Soran Handrean, Sarah Haney, Sheharyar Hanif, E Hanison, Alison Hanlon, Jennifer Hannah, Amy Hannington, Merhej Hannun, Aidan Hanrath, Anita Hanson, Jane Hanson, Kathryn Hanson, Steve Hanson, Helen Hanwell, Mazhar Ul Haq, Ala Haqiqi, Monjurul Haque, Lesley Harden, Zoe Harding, Simon Hardman, Joanna Hardy, Kumar Haresh, Rachel Harford, Beverley Hargadon, Carolyn Hargreaves, Emily Hargreaves, James Hargreaves, Alice Harin, Mohammed Haris, Edward Harlock, Sandra Harlow, Paula Harman, Tracy Harman, Mark Harmer, Muhammad A Haroon, Charlie Harper, Fiona Harper, Heather Harper, Melanie Harper, Peter Harper, Rosemary Harper, Sarah Harrhy, Sian Harrington, Yasmin Harrington-Davies, Jade Harris, Jess Harris, John Harris, Laura Harris, Marie-Clare Harris, Naomi Harris, Nichola Harris, Sophie Harris, Alex Harrison, David Harrison, Julie Harrison, Laura Harrison, Melanie Harrison, Rowan Harrison, Susie Harrison, Thomas Harrison, Wendy Harrison, Elizabeth Harrod, Ciaran Hart, Dominic Hart, Lisa Hartley, Rosemary Hartley, Ruth Hartley, Tom Hartley, William Hartrey, Phillipa Hartridge, Stuart Hartshorn, Heli Harvala, Alice Harvey, Angela Harvey, Max Harvey, Catherine Harwood, Helen Harwood, Brigitte Haselden, Kazi Hashem, Mohammed Hashimm, Tadaaki Hashimoto, Imranullah Hashmi, Sarah Haskins, Zena Haslam, Adil Hassan, Ali Hassan, Wagae UI Hassan, Waqar Ul Hassan, Sapna Hassasing, Jane Hassell, Philip Hassell, Alex Hastings, Bethany Hastings, Janice Hastings, Stephanie Hatch, Jonathan Hatton, Sheryl Haviland, May Havinden-Williams, Stefan Havlik, Daniel B Hawcutt, Kadean Hawes, Liz Hawes, Nicola Hawes, Annie Hawkins, Catherine Hawkins, Nancy Hawkins, Tanya Hawkins, Dan Hawley, Ed Hawley-Jones, Edward Haworth, Cathy Hay, Amna Hayat, Jamal Hayat, Mohamed-Riyal Hayathu, Tamsin Haydon, Anne Hayes, Jonas Hayes, Kate Hayes, Melony Hayes, Vanessa Hayes, Fiona Hayes, Patrick Hayle, Chloe Haylett, Antara Hayman, Melanie Hayman, Matthew Haynes, Richard Haynes, Rachel Hayre, Sarah Haysom, James Hayward, Patrick Haywood, Tracy Hazelton, Phoebe Hazenberg, Zhengmai He, Elizabeth Headon, Carrie Heal, Brendan Healy, Amy Hearn, Angela Heath, Rowan Heath, Diane Heaton, Kerry Hebbron, Gemma Hector, Andy Hedges, Katrine Hedges, Cheryl Heeley, Elaine Heeney, Rajdeep Heire, Ulla Hemmila, Cassie Hemmings, Scott 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Susie Holt, Alexandra Holyome, Marie Home, Toni Home, Renate Homewood, Kate Hong, Laura Hontoria del Hoyo, Clare Hooper, Sarah Hoosdally, Samantha Hope, Susan Hope, Bridget Hopkins, Peter W Horby, Stephanie Horler, Anil Hormis, Daniel Hornan, Nicola Hornby, Zoey Horne, Latoya Horsford, Megan Horsford, Mark Horsford, Valana Horsham, Alexander Horsley, Ashley Horsley, Elizabeth Horsley, Sarah Horton, Nicola Horton-Turner, Jane Hosea, Toby Hoskins, Muhammad S Hossain, Rashed Hossain, Leanne Hostler, Maxine Hough, Sarah Hough, Brittany Houghton, Catherine Houghton, Iain Houghton, Kathryn Houghton, Rebecca Houlihan, Angela Houston, Hamish Houston, Tawedzegwa Hove, Roseanna Hovvels, Lee How, Laura Howaniec, Laura Howard, Linda Howard, Lucy Howard, Sarah Howard, Stuart Howard, Richard Howard-Griffin, Alison Howarth, Diane Howarth, Serena Howe, Mark Howells, Lyn Howie, Kerry Howlett, Sophie Howlett, Joanne Hoyle, Josh Hrycaiczuk, Naing Zaya Htoon, Su Htwe, Ying Hu, Chiang Ooi Huah Huah, Abby Huckle, Shahzya Huda, Alison Hudak, Lisa Hudig, Alex Hudson, Cara Hudson, Heather Hudson, Peter Hudson, Oli Hudson, Alison Hufton, Connor Huggins, Alistair Hughes, Eithne Hughes, Emma Hughes, Gareth Hughes, Heather Hughes, Luke Hughes, Rachel Hughes, Rebecca Hughes, Samantha Hughes, Stephen Hughes, Vikki Hughes, Wesley Hughes, Lukas Huhn, Ching Hui, Ruth Hulbert, Diana Hull, Grace Hull, Robert Hull, Amanda Hulme, Peter Hulme, Wendy Hulse, George Hulston, Ryan Hum, Laura Humber, Megan Hume, Charlotte Humphrey, Ismay Humphreys, Alasdair Humphries, Joanne Humphries, Lena Hunold, Fiona Hunt, Kristen Hunt, Luke Hunt, Sophie Hunt, Al Hunter, Alexandra Hunter, Isobel Hunter, Karl Hunter, Neil Hunter, George Huntington, Elizabeth Hurditch, Cian Hurley, Katrina Hurley, Mohammed A Husain, Syeda Yusra Husaini, Coralie Huson, Afreen Hussain, Ibraar Hussain, Ifza Hussain, Mohammad Hussain, Muhammad Hussain, Reda Hussain, Sajid Hussain, Samia Hussain, Sanniah Hussain, Wasim Hussain, Yasmin Hussain, Mohammed Hussam El-Din, Raheem Hussein, Rebecca Hussey, Camille Hutchinson, Dorothy Hutchinson, Elizabeth Hutchinson, John Hutchinson, Claire Hutsby, Paula Hutton, Daniella Hydes, Jamie Hyde-Wyatt, Niamh Hynes, Megan Hyslop, Mazen Ibraheim, Abdalla Ibrahim, Ahmed Ibrahim, Asil Ibrahim, Mohamed Ibrahim, Monzeer Ibrahim, Wadah Ibrahim, Adetokunbo I Idowu, Muhammad Idrees, Hina Iftikhar, Mawara Iftikhar, Chukwuemeka Igwe, Mohammad Ijaz, Amaju Ikomi, Clare Iles, Stamatina Iliodromiti, Mary Ilsley, Lorna Ilves, La'ali Imam-Gutierrez, Christopher Imray, Alison Imtiaz, Haider Imtiaz, Claire Ingall, Jack Ingham, Julie Ingham, Rory Ingham, Tejas Ingle, Jennifer Inglis, Anne Ingram, Luke Ingram, Peter Inns, Ken Inweregbu, Andreea A Ionescu, Ana Ionita, Ilian P Iordanov, Anil Ipe, Adil Iqbal, Madiha Iqbal, Mohammed Iqbal, Faisal Iqbal Sait, Jane Ireland, Robert Irons, Mohannad Irshad, Muhammad S Irshad, Janice Irvine, Val Irvine, Pamela Irving, Robert Irving, Mina Ishak, Erica Isherwood, Aminul Islam, Abdurrahman Islim, Ali Ismail, Omar Ismail, Caroline Ison, M'hamedi Israa, Sharon Isralls, Ali Issa, Monica Ivan, Catrina Ivel, Chineze Ivenso, Ashleigh Ivy, Sophie Iwanikiw, Karen Ixer, Menaka Iyer, Mia Iyer, Calum Jack, Amanda Jackson, Anthony Jackson, Ben Jackson, Beth Jackson, Douglas Jackson, Ella Jackson, Hayley Jackson, Helen Jackson, Jane Jackson, Julie Jackson, Karin Jackson, Lauren Jackson, Melanie Jackson, Nicola Jackson, Shane Jackson, Sharon Jackson, Nikita Jacob, Patricia Jacob, Reni Jacob, Nicola Jacques, Terri-Lisa Jacques-Brown, Anisa Jafar, Daniel Jafferji, Ali Jaffery, Chandrashekar Jagadish, Vijay Jagannathan, Sam Jaggard, Mandeep Jagpal, Fernandez R Jaime, Neemisha Jain, Seema Jain, Susan Jain, Sanjay Jaiswal, Danyal Jajbhay, Thomas Jaki, Bintou Jallow, Yusuf Jaly, Sabine Jamal, Zeba Jamal, Yasmin Jameel, Albie James, Christie James, Kate James, Lee James, Linda James, Mark James, Nicholas James, Olivia James, Rebecca James, Ruth James, Tracy James, Jack Jameson, Aaron Jamison, Phoebe Jane, Azara Janmohamed, Sabrina Jansz, Deepa Japp, Lorraine Jappy, Victor Jardim, Catherine Jardine, Emma Jarnell, Ellie Jarvie, Ann Jarvis, Claire Jarvis, Lisa Jarvis, Rosina Jarvis, Patrycja Jastrzebska, Hafsa Javed, Mays Jawad, Lona Jawaheer, Kauky Jawaid, Anu Jayachandran, Dinakaran Jayachandran, Angelina Jayakumar, Deepak Jayaram, Ravi Jayaram, Geeshath Jayasekera, Thilina Jayatilleke, Abi Jayebalan, Saman Jeddi, Vandana Jeebun, Mohammad S Jeelani, Zeynab Jeewa, Emma Jefferson, Katie Jeffery, Helen Jeffrey, Jenni Jeffrey, Rachel Jeffrey, Sue Jeffrey, Nathan Jeffreys, Benjamin Jeffs, Debbie Jegede, Taylor Jemima, Ifan Jenkin, Alison Jenkins, Christopher Jenkins, David Jenkins, Elinor Jenkins, Sarah Jenkins, Sian Jenkins, Stephen Jenkins, Jacqui Jennings, Louise Jennings, Rebecca Jennings, Virginia Jennings, Ellen Jerome, Douglas Jerry, Ellen Jessup-Dunton, Jorge Antonio Jesus Silva, Champa Jetha, Kishan Jethwa, Jeby Jeyachandran, Visuvanathan Jeyakumar, Dharshana Jeyapalan, Shaman Jhanji, Khoo Jian, Zhixin Jiao, Laura Jimenez, Ana Jimenez Gil, Jithin Jith, Teishel Joefield, Navraj Johal, Karine Johannessen, Aisyah Johari, Annie John, Anu John, Navin John, Sarah John, Emma Johns, Margaret Johns, Anne-Marie Johnson, Antoinette Johnson, David Johnson, Emma Johnson, Gillian Johnson, Kathryn Johnson, Katie Johnson, Luke Johnson, Mark Johnson, Nelsonseelan Johnson, Oliver Johnson, Rachel Johnson, Tracy Johnson, Zoe Johnson, Claire Johnston, Janet Johnston, Laura Johnston, Susan Johnston, Victoria Johnston, Dawn Johnstone, Ed Johnstone, Janet Johnstone, Manohar Joishy, Adam Jones, Alistair Jones, Annabel Jones, Ben Jones, Bryony Jones, Carys Jones, Ceri Jones, Charlotte Jones, Christine E Jones, Debra Jones, Emily Jones, Gareth Jones, Geraldine Jones, Hazel Jones, Jac Jones, James Jones, Jamie Jones, Jessica Jones, Jonathon Jones, Julie Jones, Karen Jones, Kate E Jones, Kevin Jones, Laura Jones, Laura M Jones, Lorna Jones, Louise Jones, Mathew Jones, Nicola Jones, Paul Jones, Rhianna Jones, Ruth E Jones, Samantha Jones, Sophie Jones, Stefanie Jones, Steve Jones, Taya Jones, Tim Jones, Tracey Jones, Ramya Jonnalagadda, Rebecca Jordache, Annette Jose, Sanal Jose, Anna Joseph, Joseph Joseph, Rosane Joseph, Sibet Joseph, Dhaara Joshi, Mehul Joshi, Pratichi Joshi, Revati Joshi, Benz Josiah, Tiffany Joyce, Adriel Ju Wen Kwek, Edward Jude, Parminder Judge, Jessica Juhl, Sirisha Jujjavarapu, Mark Juniper, Edmund Juszczak, Deepthi Jyothish, Kasamu Kabiru Dawa, Mark Kacar, Katarina Kacinova, Nikhil Kadam, Rebecca Kahari, Gail Kakoullis, Azad Kala Bhushan, Richard JK Kalayi, Roobala Kaliannan Periyasami, Efthymia Kallistrou, Seika Kalsoom, Elisa Kam, John Kamara, Mohamed Kamara, Ajay Kamath, Prakash Kamath, Ravindra Kamath, Siddharth Arun Kamerkar, Nick Kametas, Musaiwale Kamfose, Arul Kandaswamy, Leia Kane, Osei Kankam, Thogulava Kannan, Abhinav Kant, Vikas Kapil, Ritoo Kapoor, Sonal Kapoor, Sourjya Kar, Janaka Kara, Vasita Kara, Marina Karakantza, Rona Kark, Nicholas Karunaratne, Natashja Kasianczuk, Vidya Kasipandian, Rizwan Kassam, Janarth Kathirgamachelvam, Victoria Katsande, Kulbinder Kaul, Daljit Kaur, Dervinder Kaur, Jasmin Kaur, Jaspreet Kaur, Satvinder Kaur, Zunaira Kausar, Mohammad AA Kawser, Andrea Kay, Sarah Kay, Jossy N Kayappurathu, Callum Kaye, Ahemd Kazeem, Naved Kazi, Sharon Kaznica, Samantha Kearley, Rachel Kearns, Nichola Kearsley, Joanne Keating, John Keating, Liza Keating, Elizabeth Keddie-Gray, Katie Keen, Natalie Keenan, Jonathan Kefas, Stephen Kegg, Laura Keith, Uzoamaka Keke, Tosin Kelani, Joanne Kellett, Jeremy Kellington, Alison Kelly, Conor Kelly, David Kelly, Diane Kelly, Dominic Kelly, Emma Kelly, Laura Kelly, Martin Kelly, Michael Kelly, Rosalind Kelly, Sinead Kelly, Stephen Kelly, Thomas Kelly, Mary Kelly-Baxter, Marketa Keltos, Timothy Kemp, Kelly Kemsley, Alexandra Kendall-Smith, Sarah Kennard, Ann Kennedy, Caroline Kennedy, James Kennedy, Sophie Kennedy-Hay, Julia Kenny, Kelly Kent, Melanie Kent, Lynne Keogan, Alexander Keough, Clement Kerlin, A Kerr, Andrew Kerr, Maria Kerr, Caroline Kerrison, Anthony Kerry, Samantha Kershaw, Helen Kerslake, Ian Kerslake, Helen Kerss, Jocelyn Keshet-Price, Margaret Kevern, Georgina Keyte, Abdul Khadar, Ali Khalid, Muhammad U Khalid, Syed Khalid, Amir Khalil, Asma Khalil, Sijjad Khalil, Abubakar Khan, Ali Khan, Al-Imran Khan, Arham Khan, Asad Khan, Aurangzeb Khan, Burhan Khan, Camran Khan, Fatimah Khan, Kausik Khan, Malik Aamaz Khan, Marria Khan, Mehrunnisha Khan, Mohammad Khan, Mohammed Khan, Nayeem Khan, Omar Khan, Rahe Khan, Rahila Khan, Sabiya Khan, Shabana Khan, Shahul Khan, Shoaib Khan, Tasaduksultan Khan, Waseem Khan, Usman F Khatana, Jibran Khatri, Jyoti Khatri, Hafiza Khatun, Taslima Khatun, Mena Kheia, Jacyntha Khera, Htet Ei Khin, Najaf Khoja, Kiran Khokhar, Jayne Khorsandi, Chloe Khurana, Faith Kibutu, Andrew Kidd, Michelle Kidd, Joe Kidney, Shane Kidney, Will Kieffer, James Kilbane, Caroline Kilby, Eileen Killen, Susan Kilroy, Bomee Kim, Jee Whang Kim, Sarah Kimber, Andy King, Barbara King, Jennifer King, Kirsten King, Rachel King, Sarah King, Tony King, Victoria King, Emily King-Oakley, Laura Kingsmore, Andy King-Venables, Fiona Kinney, Sidra Kiran, Jeremy Kirk, Jodie Kirk, Daniel Kirkbride, Amy Kirkby, Ian Kirker, Emily Kirkham, Gemma Kirkman, Ursula Kirwan, Kelly Kislingbury, Toby Kitching, Laura Kitto, Lauren Kittridge, Sarah Klaczek, Frieder Kleemann, Susan Kmachia, Chris Knapp, Lucy Knibbs, Alicia Knight, Fraser Knight, Marian Knight, Sarah Knight, Steven Knight, Tom Knight, Ellen Knights, Jane Knights, Toby Knights, Martin Knolle, Carol Knott, Charlotte Knowles, Karen Knowles, Laurence Knowles, Emily Knox, Lucy Knox, Oliver Koch, Ronan Kodituwakku, Gouri Koduri, Aisha Koirata, Eirene Kolakaluri, Magdalena Kolodziej, Eirini Kolokouri, Keith Kolsteren, Samantha Kon, Niladri Konar, Mari Kononen, Athanasios Konstantinidis, Hui Fen Koo, Imogen Koopmans, Emmanuela Kopyj, Laura 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Michelle Lake, Nicki Lakeman, David Lalloo, Fiona Lalloo, Alison Lam, Fiona Lamb, Lucy Lamb, Thomas Lamb, Nick Lambe, Pauline Lambert, Claudia Lameirinhas, Mohammed KG Lami, Abigail Lamikanra, Holly Lamont, Michal Lamparski, Djillali Lamrani, Christine Lanaghan, Rebecca Lanaway, Ivone Lancona-Malcolm, Julia Lancut, Geraldine Landers, Martin J Landray, Matthew Lane, Nicholas Lane, Alidih Lang, Stephen Lang, Daniel Langer, Margaret Langley, Charles Langoya, Emily Langthorne, Taiya Large, Wojciech Lason, Anna Last, Scott Latham, John Latham-Mollart, Afzal Latheef, Darren Latimer, Nang Latt, Carly-Jane Lattimore, Dawn Lau, Eva Lau, Myra Laurenson, Hou Law, Jennifer Law, Jessica Law, Penny Law, Richard Law, Colin Lawler, Mark Lawley, Emma Lawrence, Jo Lawrence, Neil Lawrence, Ryan Lawrie, Jemima Lawson, Joanne Lawson, Louise Lawson, Rebecca Lawton, Michael Lay, Christine Laycock, Reina Layug, Maria Lazo, Vietland Le, Amelia Lea, William Lea, Ian Leadbitter, Thomas Leahy, Richard Lean, Lorna 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Kateryna Macconaill, Chloe Macdonald, Stuart MacDonald, Tania MacDonald, Claire Macfadyen, James G Macfarlane, Jill Macfarlane, Laura Macfarlane, Cara MacGuigan, Lisa MacInnes, Iain MacIntyre, Jill MacIntyre, Kirsten Mack, Callum Mackay, Euan Mackay, Laura Mackay, Alexander Mackenzie, Matt Mackenzie, Robert MacKenzie Ross, Ami Mackey, Patricia Mackey, Fiona Mackie, Robert Mackie, Carolyn Mackinlay, Claire Mackintosh, Katherine Mackintosh, Sheila MacLennan, Mary Joan MacLeod, Michael Macmahon, Andrew MacNair, Catherine Macphee, Iain Macpherson, Catriona Macrae, Allan MacRaild, Eilidh MacVean, Alannah Madden, Mary Madden, Norman Madeja, Karen Madgwick, Pradeep Madhivathanan, Madhavi Madhusudhana, Harriet Madiyiko, Alpha Madu, Lorraine Madziva, Marion Mafham, Nick Magee, Frederick Magezi, Tim Maggs, Negar Maghsoodi, Christopher Magier, Marios Magriplis, Kathryn Maguire, Natasha Mahabir, Subramanian Mahadevan-Bava, Anjanie Maharajh, Ajit Mahaveer, Bal Mahay, Kanta Mahay, Hibo Mahdi, Thushika Mahendiran, Siva Mahendran, Sarah Maher, Anistta Maheswaran, Shameera Maheswaran, Tina Maheswaran, Parisa Mahjoob-Afag, Ahmed Mahmood, Farhana Mahmood, Waheed Mahmood, Zahra Mahmood, Hager Mahmoud, Ewan Mahony, Luke Mair, Toluwani Majekdunmi, Kesson Majid, Rupert Major, Jaydip Majumdar, Mohammad KH Majumder, Stephen Makin, Marius Malanca, Hannah Malcolm, Flora Malein, Neeraj Malhan, Ayesha Malik, Gulshan Malik, Mohammed Maljk, Paul Mallett, Petrina Mallinder, Georgia Mallison, Louise Mallon, Edward Malone, Gracie Maloney, Edgar Malundas, Madhu Mamman, Irene Man, Kathy Man, Rossana Mancinelli, Marco Mancuso-Marcello, Tracy Manders, Lauren Manderson, Justin Mandeville, Roope Manhas, Carmen Maniero, Ravi Manikonda, Bobby Mann, Jonathan Manning, Lynne Mannion, Katherine Mansi, Katarina Manso, Dina Mansour, Isheunesu T Mapfunde, Predeesh Mappa, Hemant Maraj, Garikayi Marange, Lisa March, Clare Marchand, Neil Marcus, Maria Marecka, Gomathi Margabanthu, Jordi Margalef, Lavinia Margarit, Georgios Margaritopoulos, Mike Margarson, Fernandez M Maria del Rocio, Teresa Maria Pfyl, Victor Mariano, Helen Maria-Osborn, Ashleigh Maric, Grace Markham, John Markham, Maria Marks, Pamela Marks, Elisabeth Marouzet, Arran Marriott, Cheryl Marriott, Nemonie Marriott, Brian Marsden, Karen Marsden, Paul Marsden, Sarah Marsden, Tracy Marsden, Robyn Marsh, Adam Marshall, Andrew Marshall, Gail Marshall, Henry Marshall, Jaimie Marshall, James Marshall, Jenna Marshall, Nicola Marshall, Riley Marshall, Jennifer Marshall, Samantha Marston, Emmeline Martin, Hayley Martin, Hope Martin, Jane Martin, Karen Martin, Kate Martin, Laila Martin, Michael Martin, Noelia Martin, Tim Martin, Winston Martin, Sarah Martin, Tim Martindale, Marcus Martineau, Alexander Martinez, Lauren Martinez, Jose Carlos Martinez Garrido, Juan Martin-Lazaro, Olivia Martins, Lucas Martins Ferreira, Vijay Kumar Maruthamuthu, Gemma Maryan, Roman Mary-Genetu, Sam Maryosh, Vidan Masani, Diego Maseda, Sheila Mashate, Yasaman Mashhoudi, Al Mashta, Izhaq Masih, Sanna Masih, Nick Maskell, Perry Maskell, Matthew Masoli, Lynn Mason, Rebecca Mason, Richard Mason, Ruth Mason, Claire Mason, Mohammad Masood, Mohammad T Masood, Syed Masood, Syed SME Masood, Aaqib Masud, Lear Matapure, Cristina Matei, Ropafadzo Matewe, Manraj Matharu, Stephy Mathen, Alex Mather, Nicole Mather, Jonathan Mathers, Joanna Matheson, Amal Mathew, Anna Mathew, Moncy Mathew, Verghese Mathew, Caroline Mathews, Jesha Mathews, Kate Mathias, Marion Mathie, Darwin Matila, Wadzanai Matimba-Mupaya, Nashaba Matin, Elina Matisa, Max Matonhodze, Elijah Matovu, Jaysankar Mattappillil, Alison J Matthews, Heather Matthews, Helen Matthews, Sue Matthews, Gwynn Matthias, Fiona Maxton, Adam Maxwell, Gemma Maxwell, Veronica Maxwell, James May, Joanne May, Oliver May, Philippa May, Irving Mayanagao, Matthew Maycock, Graham Mayers, Lee Maynard, Shelley Mayor, Ibreaheim Mazen, Andrea Mazzella, Nyambura Mburu, Mercy Mbwembwe, Martyn McAdam, Eleanor 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Mollet, Malid Molloholli, Aoife Molloy, April Molloy, Linda Molloy, Andrew Molyneux, Tasnim Momoniat, Holly Monaghan, Josephine Monaghan, Krista Monaghan, Shiva Mongolu, Katelyn Monsell, Mahmoud Montasser, Alan Montgomery, Hugh Montgomery, Prebashan Moodley, Ian Moody, Margaret Moody, Nick Moody, Angela Moon, James Moon, Ji-Hye Moon, Maria Moon, May Moonan, Parvez Moondi, Alex Moore, Carly Moore, Christopher Moore, Davidjar Moore, Faye Moore, Gillian Moore, Hannah Moore, Judith Moore, Laura Moore, Sally Moore, Sonia Moore, Tracy Moore, Rachel Moores, Ed Morab, Jose Morales, Nuria Moramorell, Louise Moran, Grishma Moray, Jeronimo Moreno-Cuesta, Adam Morgan, Amy Morgan, Christine Morgan, Colin Morgan, Jackie Morgan, Lauren Morgan, Leila Morgan, Matthew Morgan, Patrick Morgan, Katie Morgan-Jones, Emily Morgan-Smith, Anna Morley, Thomas Morley, Wendy Morley, Anna Morris, Damian Morris, Fiona Morris, Helen Morris, Juliet Morris, Katie Morris, Laura Morris, Lucy Morris, Mary-Anne Morris, 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Munt, Nafissah Munu, McDonald Mupudzi, Arshid Murad, Oluwatosin H Muraina, Koteshwara Muralidhara, Diane Murdoch, Mhairi Murdoch, Jennifer Murira, Alison Murphy, Carl Murphy, Emily Murphy, Fidelma Murphy, Gail Murphy, Jo Murphy, Peter Murphy, Sheenagh Murphy, Simon Murphy, Clare Murray, David Murray, Eleanor Murray, Katie Murray, Kenneth Murray, Lisa Murray, Lorna Murray, Tracey Murray, Eoin Murtagh, Mithun Murthy, Catherine Murton, Rosie Murton, Neeka Muru, Rosemary Musanhu, Maimuna Mushabe, Kaiser Mushtaq, Omaisa Mushtaq, Ahmed M Mustafa, Elhaytham Mustafa, Mustafa Mustafa, Ibrahim Mustapha, Zhain Mustufvi, Callum Mutch, Eric Mutema, Balakumar Muthukrishnan, Sheree Mutton, Natasha Muzengi, Memory Mwadeyi, Bettina Mwale, Esther Mwaura, Raji Myagerimath, Alice Myers, Sam Myers, Khin Swe Myint, Yadee Myint, Libor Myslivecek, Helen Nabakka, Evelyn Nadar, Iftikhar Nadeem, Moosa Nadheem, Asma Naeem, Hassan Naeem, Salman Naeem, Samraiz Nafees, Mohamed Nafei, Parminder Naga, Thapas Nagarajan, Imrun Nagra, Deepak Nagra, Mina Naguib, Kirushthiga Naguleswaran, K Shonit Nagumantry, Kevin Naicker, Sarveshni Naidoo, Gireesha Naik, Rishi Naik, Samir Naik, Devu S Nair, Rajiv Nair, Tanushree Nair, Jay Naisbitt, Kerry Naismith, Sri Nallapareddy, Soum Nallapeta, Arumugan Nallasivan, Uttam Nanda, Aarti Nandani, Ali Raza Naqvi, Asadullah Naqvi, Sara Naqvi, Shruthi Narayan, Sophia Nasa, Dominic Nash, Nader Nasheed, Abdul Nasimudeen, Umer Nasir, Marwan Nassari, Tahir Nasser, Anushka Natajaran, Anuja Natarajan, Geetha Natarajan, Nalin Natarajan, Nikhila Natarajan, Rajkumar Natarajan, Noel Nathaniel, Mala Nathvani, Priyan Nathwani, George Nava, Neena Navaneetham, Jeya Navaratnam, Helen Navarra, Sadaf Naveed, John Navin, Khuteja Nawaz, Sarfaraz Nawaz, Shasta Nawaz, Bonilla Nayar, Suzanne Naylor, Moez Nayyar, Farrah Naz, Mobeena Naz, Salima Nazarali, Babak Nazari, S Nazir, Sehar Nazir, Dumisani Ncomanzi, Onyine Ndefo, Alan Neal, Elaine Neary, Mostafa Negmeldin, Paula Neill, Hector E Neils, Avideah Nejad, Louise Nel, Marie Nelson, Richard Nelson, Scott Nelson, Rajesh Nemane, Samiksha Nepal, Daniel Nethercott, Kimberley Netherton, Kimberley Nettleton, Claire-Michelle Neville, Tracy Nevin, Josephine Newanji, Alison Newby, Angela Newby, David Newby, Tracy Newcombe, Charlotte Newman, Diana Newman, Julie Newman, Oscar Newman, Richard Newman, Tabitha Newman, Thomas Newman, Rachel Newport, Claire Newsam, Christopher Newson, Maria Newton, Anthony YKC Ng, Ka Wing Ng, Maxine Ng, Sarah Ng, Wee Jin Ng, Thomas Ngan, Gabriel CE Ngui, Alice Ngumo, Caoimhe Nic Fhogartaigh, Nathalie Nicholas, Philip Nicholas, Rachel Nicholas, Teresa Nicholas, Donna Nicholls, Lisa Nicholls, Alice Nicholson, Anne Nicholson, Annette Nicholson, Janet Nicholson, Ian Nickson, Eileen Nicol, Elizabeth Nicol, Rebecca Nicol, Pantelis Nicola, Antony Nicoll, Pantzaris Nikolaos, Georgii Nikonovich, Annette Nilsson, Kofi Nimako, Louise Nimako, Camus Nimmo, Preethy Ninan, Mahesh Nirmalan, Muhammad Nisar, Toby Nisbett, Aksinya Nisha James, Sabaahat Nishat, Tomoko Nishiyama, Sara Nix, Jennifer Nixon, Maxine Nixon, Khwaja Nizam Ud Din, Maria Nizami, Josephine Nnadi, Lyrics Noba, Harriet Noble, Hsu Noe, Jerry Nolan, Zahid Noor, Zaid Noori, Jamie Norgrave, Louis Norman, Rachel Norman, Karen Norris, Lillian Norris, Sally Ann Nortcliffe, Fiona North, Julie North, Thomas North, Julie Northcote, John Northfield, Samantha Northover, Jurgens Nortje, Donna Norton, Rowen Norton, Holly Notman, Khalid Nourein, Timea Novak, Tony Noyce, Alan Noyon, Arlene Nubi, Mohamed Nugdallah, Anne Marie Nugent, Justine Nugent, Kribashnie Nundlall, Kieran Nunn, Michelle Nunn, Jane Nunnick, Yvonne Nupa, Zubeir Nurgat, Kelly Nwankiti, Eugenia Nweje, Godfrey Nyamugunduru, Maggie Nyirenda, Kerry Nyland, Daire O Shea, Ruth O'Donnell, Chloe O'Hara, Kevin O'Reilly, William O'Rourke, Caroline Oakley, Begho Obale, Clements Oboh, Andrew O'Brien, Clare O'Brien, Julie O'Brien, Kirsty O'Brien, Linda O'Brien, Marese O'Brien, Neale O'Brien, Rachel O'Brien, Sarah O'Brien, Tracey O'Brien, Emma O'Bryan, Ross Obukofe, Christopher O'Callaghan, Lorcan O'Connell, Maria O'Connell, Tadg OConnor, Chris O'Connor, Grainne O'Connor, Miranda Odam, Sam Oddie, Sharon Oddy, Rosie O'Dea, Yejide Odedina, Krishma Odedra, Sven W Odelberg, Natasha Odell, Omolola Oderinde, Jessica Odone, Catherine O'Donovan, Dapo Odumeru, Stephen O'Farrell, Pamela Offord, Tanwa Ogbara, Catherine Ogilvie, Ciaran O'Gorman, Oluwatomilola Ogunkeye, Udeme Ohia, Shinjali Ohja, Ohiowele Ojo, Mark O'Kane, Tolu Okeke, Eleanor OKell, Alicia Okines, Iheoma Okpala, Ernest Okpo, Maryanne Okubanjo, Ché Okyne-Turkson, Raphael Olaiya, Tim Old, Jane Oldham, Gregory Oleszkiewicz, Marta Oliveira, Annie Oliver, Catherine Oliver, Jesse Oliver, Martyn Oliver, Zoe Oliver, Nurudeen O Olokoto, Folusho Olonipile, Olumide Olufuwa, Olatomiwa Olukoya, Akinlolu Oluwole-Ojo, Laura O'Malley, Maryam Omar, Zohra Omar, Nimca Omer, Abi Omojola, Helen Omuco, Bronagh O'Neill, Connaire O'Neill, Lauran O'Neill, Chon Sum Ong, Chidera Onyeagor, Huah C Ooi, Amin Oomatia, Maria Opena, Richard Oram, Chloe Orchard, Christy Ord, Jonathan Ord, Charlotte O'Reilly, Lola Orekoya, Devaki O'Riordan, Sean O'Riordan, Amy Orme, Hannah Orme, Dave Ormrod, Charlotte Orr, Sarah Orr, Christopher Orton, Anna Osadcow, Rawlings Osagie, Rostam Osanlou, Lynn Osborne, Nigel Osborne, Rebecca Osborne, Wendy Osborne, William Osborne, Charles Osbourne, Jennifer Osei-Bobie, Mandy O'Shea, Joseph Osman, Wa'el Osman, Bashir Osman, G Osoata, Marlies Ostermann, Eoin O'Sullivan, Susan O'Sullivan, Noor Otey, Otheroro K. Otite, Marie O'Toole, Natalie Outten, Rachel Owen, Stephanie Owen, Emma Owens, Susan Owens, Yetunde Owoseni, Michael Owston, Ruth Oxlade, Feray Ozdes, Jamie Pack, Sophie Packham, Piotr Paczko, Grace Padden, Anand Padmakumar, Iain Page, Nickolas Page, Valerie Page, Jodi Paget, Katherine Pagett, Lee Paisley, Susie Pajak, Angela Pakozdi, Soubhik Pal, Sushi Pal, April Palacios, Vishnu B Palagiri Sai, Vadivu Palaniappan, Priya Palanivelu, Adrian Palfreeman, Shehan Palihavadana, Deepshikha Palit, Alistair Palmer, Lorna Palmer, Lynne Palmer, Ian Pamphlett, Anmol Pandey, Nithya Pandian, Krishnaa Pandya, Tej Pandya, Alice Panes, Yee Wei Pang, Laura Pannell, Kanwar Pannu, Sathianathan Panthakalam, Charles T Pantin, Norman Pao, Helen Papaconstantinou, Padmasayee Papineni, Marina Pappa, Kitty Paques, Kerry Paradowski, Vinay Parambil, Supathum Paranamana, Siddhant Parashar, Ian Parberry, Ana Parejasanchez, Amy Parekh, Dhruv Parekh, Louise Parfitt, Helen Parfrey, Omi Parikh, Gemma Parish, John Park, 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Patterson, Charlotte Patterson, Linda Patterson, Molly Patterson, Pauline Patterson, Robert Patterson, Daniel Paul, Janice Paul, Roshni Paul, Leigh Pauls, Stephane Paulus, Amelia Pavely, Susan Pavord, Brendan Payne, David Payne, Elizabeth Payne, Ruth Payne, Tammy Payne, Abby Peacock, Linda Peacock, Louise Peacock, Sarah Peacock, Henry Peake, Rupert Pearse, Andrew Pearson, Daniel Pearson, Harriet Pearson, Karen Pearson, Kirsty Pearson, Samuel A Pearson, Sandra Pearson, Alice Peasley, Hilary Peddie, Russell Peek, Claire Pegg, Suzannah Peglar, Benjamin H Peirce, Claire Pelham, Belinda Pelle, Abigail Pemberton, Melchizedek Penacerrada, Anthony Pender, Carmel Pendlebury, Jessica Pendlebury, Sarah Pendlebury, Rachel Penfold, William Penlington, Catherine Penman, Julie Penman, Rachel Penman, Justin Penner, Kristi Penney, Alistair Penny, James Penny, Justin Pepperell, Huw Peregrine, Adriana Pereira, Ana Pereira, Rita Pereira, Carlota Pereira Dias Alves, Parmi Perera, Elena Perez, Jane Perez, Tanaraj Perinpanathan, Lakshmi Periyasamy, Francesca Perkins, Rachel Perkins, Elizabeth Perritt, Alison Perry, Emily Perry, Meghan Perry, Terrie Perry, Thomas M Perumpral, Guilherme Pessoa-Amorim, Ruth Petch, Lionel Peter, Cecilia Peters, Craig Peters, Jayne Peters, Mark Peters, Steve Peters, Tim Peters, Remy Petersen, Alexandra Peterson, Leon Peto, Iulia Petras, Ilianna Petrou, Boyanka Petrova, Mirela Petrova, Paul Pfeffer, Mysore Phanish, Paul Phelan, Christopher Philbey, Jennifer Philbin, Neil Philips, Alex Phillips, Danielle Phillips, Dylan Phillips, Karen Phillips, Pat Phillips, Rachael Phillips, Katherine Philpott, Marie Phipps, Virach Phongsathorn, Mandeep Phull, Masroor M Phulpoto, Myat TT PI, Sara Pick, James Pickard, Charlotte Pickering, Gillian Pickering, Thomas Pickett, Hayleah Pickford, Joanna Pickles, Benjamin Pickwell-Smith, Natalia Pieniazek, Charlie Piercy, Angelo Pieris, Samia Pilgrim, Paul Anthony Pillai, Zoe Pilsworth, Heather Pinches, Stacey Pinches, Julia Pinder, Kirsty Pine, Muni Tejha Pinjala, Stefania Pintus, Graeme Piper, James Piper, Richard Pipes, Tasneem Pirani, Marcus Pittman, Sally Pitts, Nicolene Plaatjies, Aiden J Plant, Naomi Platt, Robert Pleass, Rutger Ploeg, Laura Plummer, Charles Plumptre, Jonathan Pobjoy, Tatiana Pogreban, Stephen Poku, David Poles, Rachel Pollard, Louisa Pollock, Oluwamayowa Poluyi, Gary John Polwarth, Fiona Pomery, Ponmurugan Ponnusamy, Suresh Ponnusamy, Aravind Ponnuswamy, Inês Ponte Bettencourt dos Reis, Suman Pooboni, Alice Poole, Christopher Poole, Lorraine Poole, Lynda Poole, Michele Poole, Sharon Poon, Tajinder Poonian, Ella Poppitt, Christopher Porada, David Porter, Jo Porter, Linda Porter, Ross Porter, Kelly Postlethwaite, Narayana Pothina, Priyadarshan Potla, Dorota Potoczna, Jason Pott, Alison Potter, Jean Potter, Kenzi Potter, Sarah Potter, Tracey Potter, Elspeth Potton, Joanne B Potts, Julie Potts, Kathryn Potts, Una Poultney, Katherine Poulton, Vanessa Poustie, Geneen Powell, James Powell, Jordan Powell, Deborah Power, Nick Power, Gillian Powter, Joseph Poxon, Robin Poyner, Vidushi Pradhan, Helena Prady, Aalekh Prasad, Krishna Prasad, Maanvi Prasad, Fredy Prasanth Raj, Sangeetha Prasath, Sindhuja Pratheepkumar, Anezka Pratley, Steven Pratt, David Preiss, Claire Prendergast, Lynn Prentice, Peter Prentice, Verity Prescott, Laura Presland, Catharine Prest, Stephen Preston, Martha Pretorius, Natalie Prevatt, Sandra Prew, Ashley Price, Carly Price, Claire Price, David Price, Elizabeth Price, Nathan Price, Vivien Price, Nicole Priddee, Anne Priest, Kate Priestley, Jimena Prieto, Lorraine Primrose, Clare Prince, Judith Prince, Laura Prince, Janet Pring, Shirley Pringle, Veronika Pristopan, Kelly Pritchard, Lucy Pritchard, Rhys Pritchard, Simon Pritchard, Verma Priyash, Andrew Procter, Clare Proctor, Rebecca Proudfoot, Ben Prudon, David Pryor, Solomon Pudi, Joanne Pugh, Lawrence Pugh, Mark T Pugh, Nichola Pugh, Richard Pugh, Veronika Puisa, Kirandip Punia, Saleel Punnilath Abdulsamad, Laura Purandare, Claire Purcell, Corrina Purdue, Bally Purewal, Molly Pursell, Gregory Purssord, Sarah Purvis, Kathryn Puxty, Zoe Puyrigaud, Michael Pynn, Tariq Qadeer, Mohammad Qayum, Corrine Quah, Sheena Quaid, Nathaniel Quail, Charlotte Quamina, Donna Quashie, Alice Quayle, Eleanor Quek, Siobhan Quenby, Xinyi Qui, Vanessa Quick, Julie Quigley, Juan-Carlos Quijano-Campos, Andrew Quinn, Tom Quinn, Amy Quirk, Quratulain Quratulain, Danya Qureshi, Ehsaan Qureshi, Hafiz Qureshi, Hasanain Qureshi, Khadija Qureshi, Nawaz Qureshi, Qurratulain Qurratulain, Saad Qutab, Muhammad S Rabbani, Syed Rabbani, Wayne Rabin, Simon Rabinowicz, Madalina Raceala, Raissa Rachman, Laura Rad, Jane Radford, Liz Radford, Jayachandran Radhakrishnan, Cecillia Rafique, Jethin Rafique, Muhammad Rafique, Ravi Ragatha, Aiswarya Raghunathan, Abigail Raguro, Shankho D Raha, Sana Rahama, Karen Rahilly, Faisal Rahim, Abdul H Rahimi, Haseena R Rahimi, Muhammad Rahman, Salim Ur Rahman, Sharon Rainey, Lenka Raisova, Arjun Raj, Pradeep Rajagopalan, Nithy Rajaiah, Arvind Rajasekaran, Aylur Rajasri, Thurkka Rajeswaran, Jyothi Rajeswary, Jeyanthy Rajkanna, Gayathri Rajmohan, Ruth Rallan, David Ralphs, Katherine Ralston, Maximilian Ralston, Matsa Ram, Balaji Ramabhadran, Fathima Ramali, Mohamed Ramali, Athimalaipet Ramanan, Shashikira Ramanna, Maheshi Ramasamy, Dhanishta Ramdin, Jozel Ramirez, Mylah Ramirez, Geshwin Ramnarain, Lidia Ramos, Shanthi Ramraj, Alex Ramshaw, Aleem Rana, Ghulam F Rana, Rehman Rana, Abby Rand, James Rand, Helen Randall, Harpal Randheva, Poonam Ranga, Manmeet Rangar, Harini Rangarajan, Sameer Ranjan, Poormina Ranka, Rajesh Rankhelawon, Haley Ranton, Anita Rao, Sandhya Rao, Sanjay Rao, Deepak Rao, Anuja Rasarathnam, Alia Rashid, Khalid Rashid, Simbisai Ratcliff, Sam Ratcliffe, Sophy Ratcliffe, Sanjeev Rath, Mohmad I Rather, Selina Rathore, Aravinden Ratnakumar, Jonathan Ratoff, Deepa Rattehalli, Jason Raw, Hywel Rawlins, Gautam Ray, Michelle Ray, Adam Raymond-White, Dana Raynard, 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Anand Shah, Bhavni Shah, Momin Shah, Neil Shah, Pallav Shah, Priyank Shah, Qasim Shah, Sarfaraz H Shah, Snehal Shah, Suraj Shah, Syed Shah, Wajid Shah, Saarma Shahad, Sousan Shahi, Sipan Shahnazari, Muhammad Shahzeb, Aisha Shaibu, Zara Shaida, Amina Y Shaikh, Maliha Shaikh, Rajit Shail, Mariya Shaji, Muhammad Shakeel, Korah Shalan, Nadia Shamim, Kazi Shams, Alison Shanahan, Thomas Shanahan, Shaminie Shanmugaranjan, Hamed Sharaf, Muhammad Sharafat, Asir Sharif, Ajay Sharma, Akhilesh Sharma, Ash Sharma, Bhawna Sharma, Mona Sharma, Ojasvi Sharma, Poonam Sharma, Rajeev Sharma, Sanjeev Sharma, Sarkhara Sharma, Shriv Sharma, Sonal Sharma, Alexander Sharp, Charles Sharp, Gemma Sharp, Paula Sharratt, Phoebe Sharratt, Katherine Sharrocks, Emma Sharrod, Christopher Shaw, Daisy Shaw, David Shaw, Deborah Shaw, Joanne Shaw, Jonathan Shaw, Lisa Shaw, Tomos G Shaw, Anna Shawcross, Jill Shawe, Lou Shayler, Khuram Shazad, Sophy Shedwell, Jonathan Sheffield, Zak Shehata, Arshiya Sheik, Asif Sheikh, Noorann Sheikh, Laura Sheldon, Benjamin Shelley, Sarah Shelton, Anil Shenoy, Julie Shenton, Amy Shepherd, Kate Shepherd, Lorna Shepherd, Scott Shepherd, Rhian Sheppeard, Helen Sheridan, Ray Sheridan, Samuel Sherridan, Leanne Sherris, Susanna Sherwin, Shaad Shibly, Roger Shiers, Chiaki Shioi, Anand Shirgaonkar, Kim Shirley, Adebusola Shonubi, Angela Short, Richard Shortland, Rob Shortman, Rohan Shotton, Sarah Shotton, Ervin Shpuza, Nora Shrestha, Karen Shuker, Jack Shurmer, Gilbert Siame, Loria Siamia, Zanele Sibanda, Claire Sidaway, Seshnag Siddavaram, Nasir Siddique, Sohail Siddique, Nyma Sikondari, Claudia Silva Moniz, Mike Silverstone, Malcolm Sim, Theresa Simangan, Vimbai Simbi, Robert Sime, Oliver Simmons, Richard Simms, Merritt Simon, Natalie Simon, Angela Simpson, Anna Simpson, Danny Simpson, Georgina Simpson, Joanne Simpson, John Simpson, Kerry Simpson, Phillip Simpson, Thomas Simpson, Andrew Simpson, Kathryn Simpson, Cindy Sing, Ankita Singh, Claire Singh, Jayaprakash Singh, Jyoti Singh, Lokeshwar Singh, Manjeet Singh, Nadira Singh, Pankaj Singh, Prabhsimran Singh, Salil Singh, Saurabh Singh, Parag Singhal, Bryan Singizi, Manas Sinha, Utkarsh Sinha, Guy Sisson, Sarah Sithiravel, Karthikadevi Sivakumar, Shanmugasundaram Sivakumar, Darsh Sivakumran, Sivanthi Sivanadarajah, Pasupathy-Rajah Sivasothy, Rebecca Sivers, Alison Sivyer, Nicole Skehan, Robert Skelly, Orlagh Skelton, Imogen Skene, Michael J Skill, Denise Skinner, Tabitha Skinner, Victoria Skinner, Agnieszka Skorko, Iwona Skorupinska, Mariola Skorupinska, Amy Slack, Katie Slack, Wendy Slack, Heather Slade, Helen Slade, Mark Slade, Helen Slater, Lynda Slater, Nicola Slawson, Andrew Sloan, Brendan Sloan, Derek Sloan, Geraldine Sloane, Benjamin Small, Ellen Small, Emma Small, Samuel Small, Karen D Smallshaw, Andy Smallwood, Carien Smit, Aileen Smith, Alex Smith, Amanda Smith, Amy Smith, Andrew Smith, Anna Smith, Camilla Smith, Catherine Smith, Chris Smith, Christopher Smith, Dominic Smith, Eleanor Smith, Harriet Smith, Hazel Smith, Helen Smith, Jacky Smith, Janice Smith, Jessica Smith, Juliet Smith, Karen Smith, Kate Smith, Kathryn Smith, Katie Smith, Kelly Smith, Kerry Smith, Lara Smith, Linda Smith, Lisa Smith, Loren Smith, Maria Smith, Mel Smith, Oliver Smith, Rachel Smith, Rebecca Smith, Richard Smith, Ruth Smith, Sally Smith, Samantha Smith, Stacey Smith, Stephanie Smith, Susan Smith, Imogen Smith, John Smith, Gemma Smithson, Sue Smolen, Sara Smuts, Naoise Smyth, Annette Snell, David Snell, Luke Snell, Beng So, Michelle Soan, Toluleyi Sobande, Alberto Sobrino Diaz, Basit Sohail, Bina Sohail, Herminder Sohal, Roy Soiza, Mary Sokolowski, Olajumoke Solademi, Krishma Solanki, Babak Soleimani, Amanda Solesbury, Reanne Solly, Louise Solomon, Subash Somalanka, Chandrashekaraiah Somashekar, Raj Sonia, Shiu-Ching Soo, Deepti Sood, Pavandeep Soor, Germanda Soothill, Jennifer Soren, Youssef Sorour, Apina Sothinathan, Pragalathan Sothirajah, Najwa Soussi, Donna Southam, David Southern, Iain Southern, Louise Southern, Sara M Southin, Jessica Southwell, Thomas Southworth, Jason Sowter, Claudia Spalding, Enti Spata, Katie Spears, Mark Spears, John Spence, Michelle Spence, Branwell Spencer, Gisele Spencer, Sue Spencer, Tom Spencer, Helen Spicer, Rose Spicer, Helen Spickett, Jennifer Spillane, William Spiller, Kerry Spinks, Michelle Spinks, Nick Spittle, Johanna Sporrer, Karen Spreckley, Janet Spriggs, Oliver Spring, Scott Springworth, Gemma Squires, Jack Squires, Rebecca Squires, Ram Sreenivasan, K Sri Paranthamen, Ramesh Srinivasan, Asha Srirajamadhuveeti, Vino Srirathan, Chloe Stacey, Sybil Stacpoole, Louise Stadon, Tony Staincliffe, Jocasta Staines, Nikki Staines, Katie Stammers, Roxana Stanciu, Grazyna Stanczuk, Helen Stannard, Edward Stanton, Robyn Staples, Simon Stapley, Natalie Staplin, Adam Stark, Michelle Starr, Julie Staves, Rached Stead, Anthea Steel, Charlotte Steel, Conor Steele, John Steer, Vergnano Stefania, Paula Stefanowska, Katie Steinert, Caroline Stemp, Alison Stephens, David Stephensen, Elaine Stephenson, Monique Sterrenburg, Georgia Stevens, Guy Stevens, Melanie Stevens, Will Stevens, Amy Stevenson, Andrew Stevenson, Elaine Stevenson, Lesley Stevenson, Sarah Stevenson, Amanda Stewart, Claire Stewart, Colin Stewart, McKenna Stewart, Rachel Stewart, Rebecca Stewart, Richard Stewart, Jo Stickley, Gemma Stiller, Robert Stirk, Sarah Stirrup, Sarah Stock, Alexander Stockdale, Lynne Stockham, Paul Stockton, Emma Stoddard, Chris Stokes, Ben Stone, Roisin Stone, Sarah Stone, Imogen Storey, Kim Storton, Frederick Stourton, Angela Strachan, Catherine Strait, Ellen Strakosch, Emma Stratton, Jane Stratton, Sam Straw, Luke Streeter, Dieter Streit, Emma Stride, Sally Stringer, Sophia Strong-Sheldrake, Siske Struik, Carmel Stuart, Anna Stubbs, Harrison Stubbs, Ann Sturdy, Sharon Sturney, Matt Stuttard, Cristina Suarez, Karuna Subba, Christian P Subbe, Manjula Subramanian, Venkatram Subramanian, Chinari Subudhi, Rebecca Suckling, Srivatsan Sudershan, Lee Sudlow, Gayle Sugden, Peter Sugden, Rudresh Sukla, Ali Suliman, Fatimah Suliman, Ian Sullivan, Sugrah Sultan, Jennifer Summers, Mark Summerton, Samyukta Sundar, Reka Sundhar, Edmond Sung, Nadia Sunni, Jay Suntharalingam, Amitava Sur, Dharmic Suresh, Shilpa Suresh, Rachel Suri, Michael Surtees, Danielle Suter, Helen Sutherland, Rachel Sutherland, Rebecca Sutherland, Dovile Sutinyte, Deborah Sutton, John Sutton, Sam Sutton, Mihaela Sutu, Marie-Louise Svensson, Sima Svirpliene, Andrew Swain, Thomas Swaine, Christopher Swales, Lorna Swan, Nicola Swarbrick, Tirion Swart, Stephen Sweetman, Samaher Sweity, Ealish Swift, Paul Swift, Pauline Swift, Peter Swift, Rachael Swift, Rachel Swingler, Sophie Swinhoe, Katarzyna Swist-Szulik, Luke Swithenbank, Omair Syed, Catriona Sykes, Daisy Sykes, Eliot Sykes, Luke Sylvester, Dominic Symon, Andrew Syndercombe, Zoe Syrimi, Jen Syson, Gemma Szabo, Tamas Szakmany, Megan Szekely, Matthew Szeto, Maria Tadros, Amr Tageldin, Lucy Tague, Hasan Tahir, Muhammad Tahir, Silvia Taibo, Zsofia Takats, Abigail Takyi, Peter Talbot, Alison Talbot -Smith, James Talbot-Ponsonby, Richard Tallent, Bradley Tallon, Phoebe Tamblin-Hopper, Adrian Tan, Bee T Tan, Hock Tan, Huey Tan, Jade Tan, Keith Tan, WeiTeen Tan, Anand Tana, Xiaohui Tang, Christina Tanney, Tabitha Tanqueray, Emma Tanton, Ran Tao, Mark Taplin, Hayley Tarft, Priyal Taribagil, Obaid Tarin, Syed Tariq, Zeeshan Tariq, David Tarpey, Lisa Tarrant, Antonia Tasiou, Elizabeth Tatam, Margaret L Tate, Kate Tatham, Vera Tavoukjian, Alexander Taylor, Beverley Taylor, Brian Taylor, Charlie Taylor, Charlotte Taylor, David Taylor, Elisabeth Taylor, Janet Taylor, Jennifer Taylor, Joanne Taylor, Julie Taylor, Karen Taylor, Leanne Taylor, Margaret Taylor, Matthew Taylor, Melanie Taylor, Natalie Taylor, Rachael Taylor, Rachel Taylor, Samantha Taylor, Suzanne Taylor, Tina Taylor, Tracey Taylor, Vicky Taylor, Michelle Taylor-Siddons, Thomas Taynton, Amelia Te, Jessica Teasdale, Julie Tebbutt, Caroline Tee, Rajni Tejwani, Seble Tekle, Adam Telfer, Vibha Teli, Jennifer Tempany, Holly Templar, Julie Temple, Natalie Temple, Helen Tench, Yi He Teoh, Lynne Terrett, Louise Terry, Abbi Tervit, Dariusz Tetla, Kate Tettmar, Shirish Tewari, Daniel Tewkesbury, Joana Texeira, ChiaLing Tey, Clare Thakker, Manish Thakker, Amirtharajh Tharmakulasingam, Hilary Thatcher, Andrew Thayanandan, Krishna Thazhatheyil, Eaint Thein, Lambrini Theocharidou, Phyu Thet, Kapeendran Thevarajah, Mayooran Thevendra, Nang Thiri Phoo, Yvette Thirlwall, Muthu Thirumaran, Alice Thomas, Andrew Thomas, Caradog Thomas, Emma Thomas, Enson Thomas, Esther Thomas, Hannah Thomas, Helen Thomas, James Thomas, Karen Thomas, Koshy Thomas, Lucy Thomas, Rachel Thomas, Rebecca Thomas, Rhys Thomas, Ruth Thomas, Samantha Thomas, Sarah Thomas, Sherine Thomas, Tessy Thomas, Vicky Thomas, Rhian Thomas-Turner, Samantha Thomas-Wright, Catherine Thompson, Christopher Thompson, Clara Thompson, Fiona Thompson, Katharine Thompson, Laura Thompson, Liz Thompson, Luke Thompson, Michael Thompson, Orla Thompson, Rebecca Thompson, Roger Thompson, Trevor Thompson, Usilla Thompson, Nicola Thomson, Natasha Thorn, Charlotte Thorne, Nicola Thorne, Wendy Thorne, Jim Thornton, Michael Thornton, Richard Thornton, Sara Thornton, Susan Thornton, Thomas Thornton, Tracey Thornton, Allison Thorpe, Christopher Thorpe, Sarah Thorpe, Paradeep Thozthumparambil, Laura Thrasyvoulou, Hannah Thraves, Elisha Thuesday, Vicky Thwaiotes, Guy Thwaites, Simon Tiberi, Jane Tidman, Serena Tieger, Carey Tierney, Caroline Tierney, Mark Tighe, Sorrell Tilbey, Amanda Tiller, John Timerick, Elizabeth Timlick, Alison Timmis, Hayley Timms, Anne-Marie Timoroksa, Samakomva Tinashe, Heather Tinkler, Marianne Tinkler, Jacqui Tipper, Helen Tivenan, Helen T-Michael, Anne Todd, Jackie Todd, Stacy Todd, Mohamed Tohfa, Helena Tollick, Melanie Tolson, Ana Luisa Tomas, Natalia Tomasova, Sharon Tomlin, Simon Tomlins, Jo Tomlinson, James Tonkin, Ivan Tonna, Catherine Toohey, Kirsty Topham, Mathew Topping, Ruhaif Tousis, Peter Tovey, Gareth Towersey, Jason Towler, Jill Townley, Alain Townsend, Chris Townsend, Richard Tozer, Claire Tranter, Helen Tranter, Jonathan Trattles, Christopher Travill, Sarah Traynor, Karis Treuberg, Mike Trevett, Ascanio Tridente, Sanchia Triggs, Fiona Trim, Thomas Trimble, Alex Trimmings, Tom Trinick, Sven Troedson, Emily Tropman, Amy Trotter, Madeleine Trowsdale Stannard, Nigel Trudgill, Maria Truslove, Shaun Trussell, Tariq Trussell, Sara Tryon, Kyriaki Tsakiridou, Christine Tsang, Hoi Pat Tsang, Peter Tsang, Tan Tsawayo, Kyriaki Karali Tsilimpari, Georgios Tsinaslanidis, Simon Tso, Sally Tucker, Victoria Tuckley, Caroline Tuckwell, Aisha Tufail, Redmond Tully, Grace Tunesi, Saidat Turawa, Killiam Turbitt, Anna Turco, Krystyna Turek, Rezon Turel, Tolga Turgut, Claudia Turley, Alison Turnbull, Aine Turner, Ash Turner, Charlotte Turner, David Turner, Frances Turner, Gail Turner, Kate Turner, Kelly Turner, Louise Turner, Lucy Turner, Marc Turner, Mark Turner, Patricia Turner, Ruth Turner, Sally Turner, Samantha Turner, Susan Turner, Victoria Turner, Sharon Turney, Jon Turvey, Conor Tweed, David Tweed, Rebecca Twemlow, Emma Twohey, Bhavya Tyagi, Vedang Tyagi, Abigail Tyer, Jayne Tyler, Jennifer Tyler, Alison Tyzack, Petros Tzavaras, Mohammad S Uddin, Ruhama Uddin, Ruzena Uddin, Salamat Ullah, Sana Ullah, Sanda Ullah, Athavan Umaipalan, Judith Umeadi, Akudo Umeh, Wilfred Umeojiako, Ben Ummat, Charlotte Underwood, Jonathan Underwood, Laura Unitt, Adam Unsworth, Jasvinder Uppal, Veerpal S Uppal, James Uprichard, Gerry Upson, Masood Ur Rasool, Alison Uriel, Sebastian Urruela, Hiromi Uru, Miranda Usher, Rebecca Usher, Alex UsherRea, Andrew Ustianowski, Jane Uttley, Linda C Vaccari, Uddhav Vaghela, Abhay Vaidya, Bernardas Valecka, Jennifer Valentine, Balan Valeria, Pramodh Vallabhaneni, Pedro Valle Vallines, Luke Vamplew, Ekaterini Vamvakiti, Joannis Vamvakopoulos, Maud van de Venne, Alex van der Meer, Nora van der Stelt, Joseph Vance-Daniel, Rama Vancheeswaran, Caryn Vander Riet, Samuel I Vandeyoon, Padma Vankayalapati, Piyush Vanmali, Chloe Vansomeren, William Van't Hoff, Sejal Vara, Kate Vardigans, Stehen J Vardy, Anu Varghese, Maria Varghese, William Varney, Giulia Varnier, Valeria Vasadi, Olivia Vass, Vimal Vasu, Vasanthi Vasudevan, Manu Vatish, Heloyes Vayalaman, Christopher Vaz, Niki Veale, Sachuda Veerasamy, Bar Velan, Swati Velankar, Luxmi Velauthar, Neyme Veli, Nicola Vella, Anitha Velusamy, Ian Venables, Mavi Venditti, David Veniard, Ramya Venkataramakrishnan, Richard Venn, Robert Venn, Lyn Ventilacion, Joanne Vere, Mark Veres, Stefania Vergnano, Will Verling, Amit Verma, Rachel Vernall, Britney Vernon, Mark Vertue, Jerik Verula, Natalie Vethanayagam, Lucy Veys, Carinna Vickers, Saji Victor, Jennifer Vidler, Wayne Vietri, Bavithra Vijayakumar, Vinod Warrier Vijayaraghavan Nalini, Brigita Vilcinskaite, Neringa Vilimiene, Sudharkar Vimalanathan, Lynn Vinall, Sylvia Vinay, Latha Vinayakarao, Rachel Vincent, Rosie Vincent, Pritpal Virdee, Emma Virgilio, Abdullah M Virk, Elisa Visentin, Jeyakumar Visuvanathan, Karunakaran Vithian, Sorice Vittoria, Elena Vlad, Ben Vlies, Alain Vuylsteke, Eleftheria Vyras, Richard Wach, Beverley Wadams, Susan Wadd, Natalia Waddington, Kirsten Wadsworth, Syed EI Wafa, Daniel Wagstaff, Lynda Wagstaff, Dalia Wahab, Zaroug Wahbi, Abiodun Waheed Adigun, Sawan Waidyanatha, Rachel Wake, Alice Wakefield, William Wakeford, Michelle Wakelin, Fiona Wakinshaw, Andrew Walden, Jane Walden, Lorna Walding, Alexandria Waldron, Gemma Walker, Harriet Walker, Ian Walker, Jasmine Walker, Kevin Walker, Kim Walker, Linda Walker, Marie T Walker, Olivia Walker, Rachel Walker, Rebecca Walker, Susan Walker, Derek Wallbank, Rebecca Wallbutton, Jessica Wallen, Karl Wallendszus, Arabella Waller, Fiona Waller, Rosemary Waller, Gabiel Wallis, Gabriel Wallis, Louise Wallis, Donna Walsh, Elizabeth Walsh, Livia Walsh, Deborah Walstow, Daniel Walter, Alex Walters, Holt Walters, James Walters, Jocelyn Walters, Eileen Walton, Lucy Walton, Olivia Walton, Sharon Walton, Susan Walton, Mandy Wan, Thin Wan, Mary Wands, Rachel Wane, Frank Wang, Nick Wang, Ran Wang, Deborah Warbrick, Samantha Warburton, Deborah Ward, Emma Ward, Joanna Ward, Karen Ward, Luke Ward, Nicola Ward, Rachael Ward, Rebecca Ward, Thomas Ward, Tom Ward, Scott A Warden, Adele Wardle, Karen Wardle, Steve Wardle, Hassan Wardy, Scott Waring, Jenny Warmington, Ben Warner, Christian Warner, Lewis Warnock, Sarah Warran, Jade Warren, Lisa Warren, Yolanda Warren, Hannah Warren-Miell, Gill Warwick, Charlotte Washington, Helen Wassall, Hazel J Watchorn, Holly Waterfall, Abby Waters, Donald Waters, Mark Waterstone, Catherine Watkins, Catrin Watkins, Eleanor Watkins, Karen Watkins, Lynn Watkins, Nick Watkins, Abigail Watson, Adam JR Watson, Ekaterina Watson, Eleanor Watson, Paul Watson, Rebecca Watson, Robert Watson, Sandra Watson, Malcolm Watters, Donna Watterson, Daniel Watts, John Watts, Merlin Watts, Victoria Waugh, Emma Wayman, Akhlaq Wazir, Mark Weatherhead, Nick Weatherly, Paul Weaver, Hayley Webb, Kathryn Webb, Kylie Webb, Stephen Webb, Cheryl Websdale, Deborah Webster, Ian Webster, Tim Webster, Kathleen Wedgeworth, Ling Wee, Rebecca Weerakoon, Thanuja Weerasinghe, Janaka Weeratunga, Maria Weetman, Shuying Wei, Immo Weichert, Hugh Welch, James Welch, Leanne Welch, Steven Welch, Samantha Weller, Lucy Wellings, Brian Wells, Susan Wellstead, Berni Welsh, Richard Welsh, Ingeborg Welters, Rachael Welton, Lauren Wentworth, Kate Wesseldine, James Wesson, Jim Wesson, Adam West, Magdelena West, Raha West, Ruth West, Sophie West, Luke Western, Ruth Westhead, Heather Weston, Alice Westwood, Bill Wetherill, Sharon Wheaver, Helen Wheeler, Ben Whelan, Matthew Whelband, Amanda Whileman, Alison Whitcher, Abbie White, Andrew White, Benjamin White, Christopher White, Duncan White, Emily White, James White, Jonathan White, Katie White, Marie White, Nick White, Sarah White, Sonia White, Stephen White, Tracey White, Catherine Whitehead, Anne Whitehouse, Claire Whitehouse, Tony Whitehouse, Julia Whiteley, Sophie Whiteley, Victoria Whiteside, Drew Whitley, Kaitlyn Whitley, Gabriel Whitlingum, David Whitmore, Elizabeth Whittaker, Lindsay Whittam, Andrew Whittingham Hirst, Ashley Whittington, Helen Whittle, Robert Whittle, Suzanne Whyte, Eunice Wiafe, Lou Wiblin, John Widdrington, Jason Wieboldt, Hannah Wieringa, Cornelia Wiesender, Laura Wiffen, Andrew Wight, Christopher Wignall, Danielle Wilcock, Emma Wilcock, Louise Wilcox, Laura Wild, Stephen Wild, Michael Wilde, Peter Wilding, Ritchie Wildman, Tracey Wildsmith, Joe Wileman, Donna Wiles, Joy Wiles, Kate Wiles, Elva Wilhelmsen, Thomas Wiliams, Chloe Wilkes, Janet Wilkie, David Wilkin, Hannah Wilkins, Joy Wilkins, Suzanne Wilkins, Helen Wilkinson, Holly Wilkinson, Iain Wilkinson, Lesley Wilkinson, Martin Wilkinson, Nicola Wilkinson, Sophia Wilkinson, Susan Wilkinson, Tim Wilkinson, Sylvia Willetts, Aimee Williams, Alexandra Williams, Alison Williams, Angharad Williams, Ava Williams, Carl Williams, Caroline V Williams, Claire Williams, Dewi Williams, Gail Williams, Gemma Williams, Gina Williams, Hannah Williams, James Williams, Jayne Williams, Jennie Williams, John Williams, Joseph Williams, Karen Williams, Kathryn Williams, Marie Williams, Matthew Williams, Patricia Williams, Penny Williams, Rachael Williams, Rupert Williams, Samson Williams, Sarah Williams, Sophie Williams, Tamanna Williams, Annie Williamson, Cath Williamson, Catherine Williamson, Dawn Williamson, James D Williamson, Rachel Williamson, Helen Williamson, Bruce Willian, Elizabeth Willis, Emily Willis, Heather Willis, Herika Willis, Joanna Willis, Laura Willmott, Louise Wills, Lucy Willsher, Catherine Willshire, Francesca Willson, Alison Wilson, Andrea Wilson, Antoinette Wilson, Billy Wilson, Catherine Wilson, Eve Wilson, James Wilson, Karen Wilson, Kate Wilson, Lucinda Wilson, Mark Wilson, Matthew Wilson, Toni Wilson, Evie Wiltsher, Marlar Win, Tin Win, Wut Yee Win Win, Lucinda Winckworth, Laura Winder, Piers Winder, Phillip Windrum, Kerry Winham-Whyte, Helen Winmill, Simon Winn, Carmen Winpenny, Helen Winslow, Helen Winter, Jonathan Winter, Pascal Winter, Barbara Winter-Goodwin, Stephen Wisdom, Matthew Wise, Martin Wiselka, Rebecca Wiseman, Sophie Wiseman, Steven Wishart, Holly Wissett, Eric Witele, Nicholas Withers, Janet Wittes, Donna Wixted, Therese Wodehouse, Will Wolf, Nicola Wolff, Kirsten Wolffsohn, Rebecca Wolf-Roberts, Magda Wolna, Elena Wolodimeroff, Adam Wolstencroft, Alan Wong, Charlotte Wong, Chi-Hung Wong, Edwin Wong, Jessica Sue Yi Wong, Kit Y Wong, Lee Wong, Mei Yin Wong, Nick Wong, Sam Wong, Yun Man Wong, Amanda Wood, Caroline Wood, Carrie Anne Wood, Dianne Wood, Fiona Wood, Hannah Wood, Jennifer Wood, Joe Wood, Julia Wood, Kathryn Wood, Lisa Wood, Louise Wood, Michelle Wood, Stephen Wood, Tracy Wood, Ursula Wood, Katharine Woodall, Rebecca Woodfield, Christopher Woodford, Elizabeth Woodford, Jill Woodford, Luke Woodford, Louise Woodhead, Timothy Woodhead, Philip Woodland, Marc Woodman, Debra Woods, Jane Woods, Katherine Woods, Sarah Woods, Zoe Woodward, Rachel Wookey, Megan Woolcock, Gemma Wooldridge, Rebecca Woolf, Chris Woollard, Christopher Woollard, Louisa Woollen, Emma Woolley, Jade Woolley, Daniel Woosey, Dan Wootton, Joanne Wootton, Daniel Worley, Stephy Worton, Jonathan Wraight, Maria Wray, Tim Wreford-Bush, Joanne Wren, Kim Wren, Lynn Wren, Caroline Wrey Brown, Catherine Wright, Demi Wright, Francesca Wright, Imogen Wright, Lee Wright, Lianne Wright, Pete Wright, Rachel Wright, Rebecca Wright, Stephanie Wright, Tim Wright, Caroline Wroe, Hannah Wroe, Henry Wu, Peishan Wu, Pensee Wu, Jonathan Wubetu, Retno Wulandari, Craig Wyatt, Frederick Wyn-Griffiths, Inez Wynter, Bindhu Xavier, Arnold Xhikola, Zhongyang Xia, Huiyuan Xiao, Masseh Yakubi, May Yan, Freda Yang, Yingjia Yang, Michael Yanney, Woei Lin Yap, Nabil Yaqoob, Naairah Yaqub, Salima Yasmin, Bryan Yates, David Yates, Edward Yates, Helen Yates, Julie Yates, Mark Yates, Charlotte Yearwood Martin, Andrew Yeatman, Khin Yein, Fiona Yelnoorkar, Peter Yew, Kawai Yip, Laura Ylquimiche, Laura Ylquimiche Melly, Inez Ynter, H Yong, Jemma Yorke, Jasmine Youens, Abdel Younes Ibrahim, Eoin Young, Gail Young, Louise Young, Richard Young, Asfand Yousafzar, Sajeda Youssouf, Ahmed Yousuf, Chrissie Yu, Bernard Yung, Daniel Yusef, Said Yusef, Intekhab Yusuf, Anna-Sophia Zafar, Silvia Zagalo, Su Zaher, Aqsa Zahoor, Kareem Zaki, Nabhan Zakir, Kasia Zalewska, Ane Zamalloa, Mohsin Zaman, Raisa Zaman, Shakir Zaman, Julie Zamikula, Louise Zammit, Marie Zammit-Mangion, Lynn Zarb, Esther Zebracki, Daniel Zehnder, Lisa Zeidan, Marian Zelman, Xiaobei Zhao, Dongling Zheng, Doreen Zhu, Madiha Zia, Omar Zibdeh, Rabia Zill-E-Huma, Ei Thankt Zin, Veronica Zindonda, Eleanor Zinkin, Vivian Zinyemba, Christos Zipitis, Arkadiusz Zmierczak, Azam Zubir, Roslin Zuha, Naz Zuhra, Rasha Zulaikha, Sabrina Zulfikar, Carol Zullo, Ana Zuriaga-Alvaro, Will Zuurbier, Sheba Zyengi, and University of St Andrews. School of Medicine
Subjects: Male, Convalescent plasma, medicine.medical_treatment, 030204 cardiovascular system & hematology, Antibodies, Viral, Rate ratio, 0302 clinical medicine, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Medicine, Hospital Mortality, 030212 general & internal medicine, 11 Medical and Health Sciences, Aged, 80 and over, Medicine(all), Mortality rate, Covid19, Articles, 3rd-DAS, General Medicine, Middle Aged, Hospitals, Treatment Outcome, Female, Open label, Coronavirus Infections, Life Sciences & Biomedicine, RM, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Internal medicine, Humans, In patient, Pandemics, COVID-19 Serotherapy, Aged, Mechanical ventilation, Science & Technology, SARS-CoV-2, business.industry, Significant difference, Immunization, Passive, COVID-19, Length of Stay, NIS, R1, Respiration, Artificial, United Kingdom, RM Therapeutics. Pharmacology, RECOVERY Collaborative Group, business
Abstract: Background: Many patients with COVID-19 have been treated with plasma containing anti-SARS-CoV-2 antibodies. We aimed to evaluate the safety and efficacy of convalescent plasma therapy in patients admitted to hospital with COVID-19. Methods: This randomised, controlled, open-label, platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]) is assessing several possible treatments in patients hospitalised with COVID-19 in the UK. The trial is underway at 177 NHS hospitals from across the UK. Eligible and consenting patients were randomly assigned (1:1) to receive either usual care alone (usual care group) or usual care plus high-titre convalescent plasma (convalescent plasma group). The primary outcome was 28-day mortality, analysed on an intention-to-treat basis. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936. Findings: Between May 28, 2020, and Jan 15, 2021, 11558 (71%) of 16287 patients enrolled in RECOVERY were eligible to receive convalescent plasma and were assigned to either the convalescent plasma group or the usual care group. There was no significant difference in 28-day mortality between the two groups: 1399 (24%) of 5795 patients in the convalescent plasma group and 1408 (24%) of 5763 patients in the usual care group died within 28 days (rate ratio 1·00, 95% CI 0·93–1·07; p=0·95). The 28-day mortality rate ratio was similar in all prespecified subgroups of patients, including in those patients without detectable SARS-CoV-2 antibodies at randomisation. Allocation to convalescent plasma had no significant effect on the proportion of patients discharged from hospital within 28 days (3832 [66%] patients in the convalescent plasma group vs 3822 [66%] patients in the usual care group; rate ratio 0·99, 95% CI 0·94–1·03; p=0·57). Among those not on invasive mechanical ventilation at randomisation, there was no significant difference in the proportion of patients meeting the composite endpoint of progression to invasive mechanical ventilation or death (1568 [29%] of 5493 patients in the convalescent plasma group vs 1568 [29%] of 5448 patients in the usual care group; rate ratio 0·99, 95% CI 0·93–1·05; p=0·79). Interpretation: In patients hospitalised with COVID-19, high-titre convalescent plasma did not improve survival or other prespecified clinical outcomes. Funding: UK Research and Innovation (Medical Research Council) and National Institute of Health Research.
Published: 2021

16. Topical Pirfenidone drops diminish opacity in dogs with corneal defects, in vitro safety, and in vivo efficacy – A pilot study

Author: N. Maity, Amit Konar, and Sarbani Hazra
Subjects: medicine.medical_specialty, education.field_of_study, genetic structures, business.industry, Corneal opacity, Population, Flurbiprofen, Pirfenidone, eye diseases, In vitro, Moxifloxacin, In vivo, Ophthalmology, Medicine, sense organs, Small Animals, business, education, Adverse effect, medicine.drug
Abstract: Summary Objective To evaluate pirfenidone topical drops as an adjunct therapy to reduce post-recovery opacity in dogs with corneal defects. Methods Corneal epithelial cells were treated with moxifloxacin, flurbiprofen, with and without 0.5% pirfenidone to rule out any adverse effect of pirfenidone. Non-diabetic dogs with corneal defects were treated with 0.5% drops of pirfenidone along with topical drugs used to treat the control dogs. At the end of two weeks, all dogs were evaluated and graded for corneal healing and opacity under a slit-lamp biomicroscope. Results There was no adverse influence of co-treating corneal cells with pirfenidone, moxifloxacin, and flurbiprofen. Pirfenidone as an adjunct therapy was well tolerated by dogs with corneal defects. The corneal healing was complete and opacity was significantly reduced (P = 0.0003) in dogs treated with pirfenidone drops in comparison to control dogs. Conclusion Pirfenidone is effective in preventing corneal opacity; further investigation in a larger population is warranted.
Published: 2021

17. Development of a Prognostic Model to Predict Mortality after Traumatic Brain Injury in Intensive Care Setting in a Developing Country

Author: Bhagavatula Indira Devi, Mini Jayan, Subhas Konar, Dhaval Shukla, and Dhananjaya I Bhat
Subjects: medicine.medical_specialty, Randomization, Traumatic brain injury, Neurosciences. Biological psychiatry. Neuropsychiatry, intensive care unit, outcome prediction, law.invention, 03 medical and health sciences, 0302 clinical medicine, law, Intensive care, medicine, Third ventricle, business.industry, General Neuroscience, traumatic brain injury, Head injury, Glasgow Coma Scale, 030208 emergency & critical care medicine, medicine.disease, Intensive care unit, medicine.anatomical_structure, Emergency medicine, Original Article, Neurology (clinical), Neurosurgery, business, 030217 neurology & neurosurgery, RC321-571
Abstract: Objectives We aimed to develop a prognostic model for the prediction of in-hospital mortality in patients with traumatic brain injury (TBI) admitted to the neurosurgery intensive care unit (ICU) of our institute. Materials and Methods The clinical and computed tomography scan data of consecutive patients admitted after a diagnosis TBI in ICU were reviewed. Construction of the model was done by using all the variables of Corticosteroid Randomization after Significant Head Injury and International Mission on Prognosis and Analysis of Clinical Trials in TBI models. The endpoint was in-hospital mortality. Results A total of 243 patients with TBI were admitted to ICU during the study period. The in-hospital mortality was 15.3%. On multivariate analysis, the Glasgow coma scale (GCS) at admission, hypoxia, hypotension, and obliteration of the third ventricle/basal cisterns were significantly associated with mortality. Patients with hypoxia had eight times, with hypotensions 22 times, and with obliteration of the third ventricle/basal cisterns three times more chance of death. The TBI score was developed as a sum of individual points assigned as follows: GCS score 3 to 4 (+2 points), 5 to 12 (+1), hypoxia (+1), hypotension (+1), and obliteration third ventricle/basal cistern (+1). The mortality was 0% for a score of “0” and 85% for a score of “4.” Conclusion The outcome of patients treated in ICU was based on common admission variables. A simple clinical grading score allows risk stratification of patients with TBI admitted in ICU.
Published: 2021

18. Prehospital Impact on Family Members of Road Traffic Accident

Author: Dhaval Shukla, Subhas Konar, T R Kanmani, Birudu Raju, and Raghavendra kukkehalli
Subjects: medicine.medical_specialty, media_common.quotation_subject, Psychological intervention, Neurosciences. Biological psychiatry. Neuropsychiatry, 03 medical and health sciences, 0302 clinical medicine, medicine, Depression (differential diagnoses), media_common, Social work, business.industry, General Neuroscience, 030208 emergency & critical care medicine, family members, Mental health, prehospital care, Feeling, psychosocial problems, Family medicine, Golden hour (medicine), Original Article, Neurology (clinical), business, Psychosocial, 030217 neurology & neurosurgery, First aid, RC321-571
Abstract: Background Prehospital care is nonexistent in most rural and semiurban areas. The implementation of golden hour care is still unachieved. The psychosocial problems of family members who accompany the traumatic brain injury (TBI) survivors after road traffic accidents (RTA) are not given attention during prehospital care. Therefore, the current study was aimed to understand the prehospital psychosocial impact on family members. Methodology A cross-sectional study was conducted at the Emergency and Trauma Care Centre at National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru between July 2017 to April 2018. Forty-five (n = 45) referred family members providing care for trauma survivors were purposively recruited in the study. Structured checklists were administered to measure the psychological reactions and psychosocial problems experienced by the family members during prehospital care. Data analysis was analyzed using the R software 3.0.1 version. Results TBI survivor's mean age was found to be 33 years (33.09 ± 13.20), of which males were 23 (51.1%) and females were 22 (48.9%), respectively. The result depicted first aid was provided by unskilled people after an average of 41 minutes (41 ± 30). The results further showed that family members had experienced agitation (100%), shock (82.2%), fatigue and headache (75.6%), depression (66.7%), feeling of hopelessness (55.6%) helplessness, and lack of support from family and financial constraints (48.9%) during prehospital care. Conclusion Psychosocial interventions need to be provided during prehospital care by trained medical and psychiatric social work professionals to address the need of family members during the crisis.
Published: 2021

19. Tailor-Made Psychosocial Intervention for the Caregivers in Emergency and Trauma Care Center

Author: Raghavendra kukkehalli, Dhaval Shukla, Subhas Konar, Birudu Raju, and T R Kanmani
Subjects: medicine.medical_specialty, caregivers, Referral, medicine.medical_treatment, media_common.quotation_subject, Psychological intervention, Neurosciences. Biological psychiatry. Neuropsychiatry, 03 medical and health sciences, 0302 clinical medicine, Intervention (counseling), Psychoeducation, medicine, Depression (differential diagnoses), intervention, media_common, business.industry, General Neuroscience, 030208 emergency & critical care medicine, psychosocial problems, Family medicine, Anxiety, Grief, Original Article, Neurology (clinical), medicine.symptom, business, Psychosocial, 030217 neurology & neurosurgery, RC321-571
Abstract: Introduction The caregiver’s psychosocial problems are unnoticed in the emergency and trauma care center. Therefore, the study objective was to understand the impact of psychoeducation and psychosocial intervention on traumatic brain injury (TBI) caregivers during hospitalization. Methodology The study adopted a descriptive research design. Sixty-three (n = 63) consented caregivers were recruited by using a cross-sectional survey method. Two separate checklists were used to collect the psychosocial problems in emergency and trauma care as well as to know the satisfaction levels of caregivers after the intervention. R free 3.0.1 software was used to calculate the frequency and percentage. Results The caregiver’s mean age was 39 years (39.46 ± 16.22). The majority of the caregivers were males (45; 71.4%) working as daily wagers (42; 66.7%). Caregivers experienced psychosocial problems, that is, depression, anxiety, stress, unable to handle crisis, grief, lack of coping skills (57; 90.5%), emotional distress (57; 90.5%), financial constraints (45; 71.1%), and need for referral services (45; 71.1%). Tailor-made psychosocial interventions were provided to the caregivers. Conclusion To conclude, there is a greater need to provide psychosocial intervention and train the caregivers to provide care for TBI survivors during hospitalization. There is a need to develop the uniform standard operating procedure for medical and psychiatric social workers in providing psychosocial care in emergency and trauma care setting.
Published: 2021

20. <scp>COVID</scp>‐19 and gynecological cancers: Asia and Oceania Federation of Obstetrics and Gynecology oncology committee opinion

Author: Ai Ling Tan, Kimio Ushijima, Brahmana Askandar Tjokroprawiro, Sarikapan Wilailak, Hiralal Konar, Perapong Inthasorn, Ka Yu Tse, Jitendra Pariyar, Efren J. Domingo, and Suresh Kumarasamy
Subjects: Asia, Activities of daily living, Coronavirus disease 2019 (COVID-19), Genital Neoplasms, Female, Oceania, 03 medical and health sciences, 0302 clinical medicine, Obstetrics and gynaecology, COVID‐19, Pregnancy, Report, Pandemic, Humans, Medicine, 030219 obstetrics & reproductive medicine, SARS-CoV-2, business.industry, COVID-19, Obstetrics and Gynecology, Medical practice, Cancer, gynecological cancer, medicine.disease, Triage, Gynecological cancer, Obstetrics, Gynecology, 030220 oncology & carcinogenesis, Female, Medical emergency, business, Reports, AOFOG opinion
Abstract: Since the outbreak of COVID‐19, there have already been over 26 million people being infected and it is expected that the pandemic will not end in near future. Not only the daily activities and lifestyles of individuals have been affected, the medical practice has also been modified to cope with this emergency catastrophe. In particular, the cancer services have faced an unprecedented challenge. While the services may have been cut by the national authorities or hospitals due to shortage of manpower and resources, the medical need of cancer patients has increased. Cancer patients who are receiving active treatment may develop various kinds of complications especially immunosuppression from chemotherapy, and they and their carers will need additional protection against COVID‐19. Besides, there is also evidence that cancer patients are more prone to deteriorate from COVID‐19 if they contract the viral infection. Therefore, it is crucial to establish guidelines so that healthcare providers can triage their resources to take care of the most needed patients, reduce less important hospitalization and visit, and to avoid potential complications from treatment. The Asia and Oceania Federation of Obstetrics and Gynecology (AOFOG) hereby issued this opinion statement on the management of gynecological cancer patients during the COVID‐19.
Published: 2021

21. Rare Consequence of Pituitary Apoplexy Surgery: Artery of Percheron Infarction

Author: Subhas Konar, B Indira Devi, and Sadashiva Nishanth
Subjects: medicine.medical_specialty, Decompression, business.industry, Thalamus, Artery of Percheron, infarction, Infarction, Pituitary apoplexy, Case Report, General Medicine, medicine.disease, Surgery, endoscopic surgery, medicine.anatomical_structure, Transnasal approach, Ptosis, Pituitary adenoma, medicine, medicine.symptom, business, pituitary apoplexy
Abstract: Management of pituitary apoplexy is multimodal. The surgical intervention followed by endocrinological management is the standard of care. Various vascular complications have been described in the literature after pituitary adenoma surgery. Artery of Percheron (AOP) infract is a rare finding. Few cases were reported in the English literature after the endoscopic approach for pituitary adenoma. We present a 55-year-old lady presented with sudden-onset headache followed by vision loss. She was evaluated with imaging and diagnosed pituitary adenoma with apoplexy. She underwent an endoscopic transnasal approach and decompression of the tumor. In the postoperative period, she developed bilateral ptosis with altered sensorium. Imaging showed infarction of bilateral paramedian thalamus and rostral midbrain, suggestive of AOP infarct. Gradually, the patient improved, and at 3 months of follow-up, she was conscious and obeying with partial improvement of ptosis.
Published: 2021

22. Mullerian Malformations and Reconstructive Surgery: Clinicians’ Approach

Author: Hiralal Konar
Subjects: Reconstructive surgery, medicine.medical_specialty, Assisted reproductive technology, business.industry, Obstetrics, medicine.medical_treatment, Obstetrics and Gynecology, Diagnostic accuracy, Müllerian mimicry, Diagnostic modalities, Mini Review Article, medicine.anatomical_structure, Vagina, medicine, Hum, business, Cervix
Abstract: Mullerian malformations are not uncommon. Overall incidence ranges widely between 1 in 200 women and 4 in 100 women (Chan et al. in Hum Reprod Update 17:761–771, 2011; Grimbizis et al. in Hum Reprod 28:2032–2044, 2013). Other way, these observations suggest presently an increased number of Mullerian abnormalities are diagnosed with more details, following the use of newer diagnostic modalities. Most classifications that are available have limitations. Diagnosis was based on imaging studies that had low diagnostic accuracy. It was focused mainly on the anomalies of the uterus. Less is known about the anomalies of the cervix or the vagina in isolation or in combination with the utero-cervical and vaginal malformations. Improved diagnostic modalities and incorporation of assisted reproductive technology have improved the outcome further. Therefore, a more expanded classification needs to be introduced with wider criteria for the clinicians. This will make clinicians’ approach for the management more simple.
Published: 2021

23. Orbitofrontal Extradural Hematoma: Unusual Cause of Proptosis

Author: B Indira Devi, Akshay V Kulkarni, Tejesh Mishra, Nishanth Sadashiva, Subhas Konar, and Dhananjaya I Bhat
Subjects: medicine.medical_specialty, business.industry, Head injury, General Medicine, Case presentation, medicine.disease, medicine.anatomical_structure, Hematoma, Orbital roof, Pediatrics, Perinatology and Child Health, medicine, Surgery, Neurology (clinical), Radiology, Presentation (obstetrics), business, Orbit (anatomy)
Abstract: Introduction: Frontal extradural hematoma (EDH) extending into orbit is an uncommon entity. Clinical presentation can be subacutely progressive proptosis following head injury. Case Presentation: We present a case of frontal EDH with orbital extension which had delayed progressive proptosis. The patient improved clinically after surgical evacuation of EDH. Conclusion: It is important to look for orbital roof fractures, orbital hematoma in cases of head injury. Such cases should be treated surgically at the earliest.
Published: 2021

24. Results with cone metric spaces

Author: Vipin Kumar Sharma, Sneha.A. Khaindait, Somayya Komal, Qazi Aftab Kabir, Pulak Konar, and Ramakant Bhardwaj
Subjects: Digital electronics, Metric space, Operator (computer programming), Cone (topology), business.industry, Applied mathematics, Uniqueness, Function (mathematics), Fixed point, business, Contraction (operator theory), Mathematics
Abstract: In this paper, the existence and uniqueness of a fixed point in a soft cone metric space are discussed for a single self-mapping using expanding and comparison function in the setting of cone metric space for random operator. These established results improve and modify some existing results in the literature. The obtained results are very useful in mechanical engineering and digital electronics. To find the results the fundamental result Banach contraction principal, is used. The established results satisfied the previous well known results.
Published: 2021

25. Cost-Effective, Integrated In Vitro Phantoms for Cardiac MRI

Author: Nithin N. Vajuvalli, Nimitha Reddy, Sairam Geethanath, Darshan Keelara, Ramesh Venkatesan, Sairamesh Raghuraman, Amaresha Shridhar Konar, Shivaprasad Chikop, and Ashwini Kumnoor
Subjects: Radiography, Phantoms, Imaging, business.industry, Cost-Benefit Analysis, Printing, Three-Dimensional, Biomedical Engineering, Humans, Medicine, business, Magnetic Resonance Imaging, In vitro, Biomedical engineering
Abstract: To provide lab scale in vitro phantom solutions for cardiac MR (CMR) studies that can be used for imaging structure and function as well as calorimetric measurements. The phantoms were purposed to accept user inputs such as beats per minute (BPM) and flow rate. We developed two generations of phantoms. The first phantom was developed using poly vinyl alcohol driven by a mechanical setup. The second was a 3D-printed phantom controlled through a user interface (UI) and a peristaltic pump. These phantoms were scanned for the characteristics mentioned above, which were qualitatively and quantitatively assessed through postprocessing of CMR images and compared with in vivo data.
Published: 2021

26. Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network

Author: Bijaya Ketan Panigrahi, Richard Jiang, Nilanjan Dey, Siddhartha Bhattacharyya, and Debanjan Konar
Subjects: General Computer Science, Coronavirus disease 2019 (COVID-19), Computer science, Topology (electrical circuits), 02 engineering and technology, Convolutional neural network, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Learning network, General Materials Science, Segmentation, lung CT image segmentation, 3D-UNet, QIS-Net, Artificial neural network, business.industry, General Engineering, COVID-19, Pattern recognition, Image segmentation, TK1-9971, 020201 artificial intelligence & image processing, Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, ResNet50
Abstract: In the current world pandemic situation, the contagious Novel Coronavirus Disease 2019 (COVID-19) has raised a real threat to human lives owing to infection on lung cells and human respiratory systems. It is a daunting task for the researchers to find suitable infection patterns on lung CT images for automated diagnosis of COVID-19. A novel integrated semi-supervised shallow neural network framework comprising a Parallel Quantum-Inspired Self-supervised Network (PQIS-Net) for automatic segmentation of lung CT images followed by Fully Connected (FC) layers, is proposed in this article. The proposed PQIS-Net model is aimed at providing fully automated segmentation of lung CT slices without incorporating pre-trained convolutional neural network based models. A parallel trinity of layered structure of quantum bits are interconnected using an $\mathcal {N}$ -connected second order neighborhood-based topology in the suggested PQIS-Net architecture for segmentation of lung CT slices with wide variations of local intensities. A random patch-based classification on PQIS-Net segmented slices is incorporated at the classification layers of the suggested semi-supervised shallow neural network framework. Intensive experiments have been conducted using three publicly available data sets, one for purely segmentation task and the other two for classification (COVID-19 diagnosis). The experimental outcome on segmentation of CT slices using self-supervised PQIS-Net and the diagnosis efficiency (Accuracy, Precision and AUC) of the integrated semi-supervised shallow framework is found to be promising. The proposed model is also found to be superior than the best state-of-the-art techniques and pre-trained convolutional neural network-based models, specially in COVID-19 and Mycoplasma Pneumonia (MP) screening.
Published: 2021

27. Roles of structure and electron mobilization in enhanced ethanol sensing by Al doped SnO2nanoparticles

Author: Dibya Jyoti Mondal, Swastik Mondal, Velaga Srihari, Sanjit Konar, Ajay Kumar Mishra, Nirman Chakraborty, Debdulal Saha, and Sagnik Das
Subjects: Materials science, business.industry, Doping, Oxide, chemistry.chemical_element, Nanoparticle, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Tin oxide, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, Band bending, chemistry, Depletion region, Chemistry (miscellaneous), Aluminium, Optoelectronics, General Materials Science, Grain boundary, 0210 nano-technology, business
Abstract: Improvement in sensing performance by metal oxide based materials has usually been achieved by doping, morphology tuning, particle size tailoring or porosity modification. The existing models of band bending and grain boundary depletion layer that explain chemiresistive sensing address the above issues in terms of qualitative electronic behaviour. However, for thick film sensors in particular, there is a clear demarcation between the surface and the bulk. Thus the concept of gross electronic distribution needs refinement in terms of variable behavior of electrons in the surface and in the bulk so that the roles of different layers in a sensor film are distinguishable. Using the case of improved 98.2% ethanol sensing response by paramagnetic aluminium doped tin oxide mesoporous nano-systems, we have demonstrated how Al doping promotes difference in electronic behavior in the surface and in the bulk of thick film sensors, complementing the existing charge depletion model. The 4-fold improvement in sensing responses by Sn0.947Al0.144O1.881 and Sn0.869Al0.242O1.888 as compared to tin oxide have been explained in terms of shortening of the unit cell by virtue of aluminium doping, and the 2.4-fold improvement in sensing response by Sn0.869Al0.242O1.888 as compared to Sn0.947Al0.144O1.881 has been explained by surface and bulk electron mobilization. Considering the conceptual inclusiveness of correlation studied, it is expected to be applicable in explaining sensing mechanisms based on electron mobilization in other metal oxide sensor systems also.
Published: 2021

28. Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study

Author: Gary A. Ulaner, David Aramburu Nunez, Vaios Hatzoglou, Behroze Vachha, Robert J. Young, Eve LoCastro, Nathaniel C. Swinburne, Akash D. Shah, Amaresha Shridhar Konar, Ramesh Paudyal, Jung Hun Oh, Kathryn Beal, Amita Shukla-Dave, and Andrei I. Holodny
Subjects: Adult, Male, Treatment response, medicine.medical_treatment, Contrast Media, Pilot Projects, Radiosurgery, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Vascularity, medicine, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Intravoxel incoherent motion, Aged, medicine.diagnostic_test, Brain Neoplasms, business.industry, Magnetic resonance imaging, Middle Aged, medicine.disease, Diffusion Magnetic Resonance Imaging, Disease Progression, Neurology (clinical), medicine.symptom, Nuclear medicine, business, Perfusion, 030217 neurology & neurosurgery, Progressive disease, Brain metastasis
Abstract: BACKGROUND AND PURPOSE: To determine the ability of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict long-term response of brain metastases prior to and within 72 hours of stereotactic radiosurgery (SRS). METHODS: In this prospective pilot study, multiple b-value DWI and T1-weighted DCE-MRI were performed in patients with brain metastases before and within 72 hours following SRS. Diffusion-weighted (DW) images were analyzed using the monoexponential and intravoxel incoherent motion (IVIM) models. DCE-MRI data were analyzed using the extended Tofts pharmacokinetic model. The parameters obtained with these methods were correlated with brain metastasis outcomes according to modified Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) criteria. RESULTS: We included 25 lesions from 16 patients; 16 patients underwent pre-SRS MRI and 12/16 patients underwent both pre- and early (within 72 hours) post-SRS MRI. The perfusion fraction (f) derived from IVIM early post-SRS was higher in lesions demonstrating progressive disease than in lesions demonstrating stable disease, partial response, or complete response (q = 0.041). Pre-SRS extracellular extravascular volume fraction, v(e), and volume transfer coefficient, k(trans), derived from DCE-MRI were higher in non-responders versus responders (q = 0.041). CONCLUSIONS: Quantitative DWI and DCE-MRI are feasible imaging methods in the pre- and early (within 72 hours) post-SRS evaluation of brain metastases. DWI- and DCE-MRI-derived parameters demonstrated physiologic changes (tumor cellularity and vascularity) and offer potentially useful biomarkers that can predict treatment response. This allows for initiation of alternate therapies within an effective time window that may help prevent disease progression.
Published: 2020

29. Evaluation of clinicopathological parameters and its relation with immunohistochemical expressions in breast carcinoma: A hospital based cross-sectional observational study

Author: Arghya Bandopadhyay, Mala Mukherjee, Shatavisa Mukherjee, Nikhil Era, and Karabi Konar
Subjects: Pathology, medicine.medical_specialty, business.industry, medicine.medical_treatment, Estrogen receptor, Modified Radical Mastectomy, medicine.disease, medicine.anatomical_structure, Breast cancer, Cervical lymph nodes, Progesterone receptor, medicine, Breast carcinoma, business, Lymph node, Mastectomy
Abstract: Introduction: Knowhow of HER-2/neu proto-oncogene amplification and/or over expression and presence of hormone (estrogen and progesterone) receptors in tumour tissue is one of the most crucial checkpoints in the therapy of breast cancer. The present study aimed to evaluate various clinicopathological parameters in the mastectomy specimens and to probe for any relation with its immunohistochemical expressions. Materials and Methods: Detailed clinical examination of the breast and the lump was done and presence of any axillary or cervical lymph nodes was also noted. After clinical examination, tumour size from the mastectomy specimen was recorded; number of lymph nodes was noted. The modified radical mastectomy samples after surgical removal, were fixed in formalin and sent for histopathological examination where tissue processing and staining with haematoxylin & eosin was done. Post mastectomy grading of the malignant breast lesion was done. Immunostaining of the HER-2 protein, Estrogen receptors (ER) & Progesterone receptors (PR) was performed for all specimens. Results: The present study showed a significant inverse association between ER and PR expression and higher tumour grades, axillary lymph node metastases and stage. HER-2/neu overexpression is significantly associated with clinicopathlogical parameters like younger age group, increased tumour size, higher tumour grades, and higher clinical staging. Significant association was seen between tumour size and lymph node metastases implying that lymph node metastasis increases with larger tumour size. Keywords: Breast Carcinoma, HER2/Neu receptor, Estrogen Receptor, Progesterone Receptor.
Published: 2020

30. Improvement of Gain Accuracy and CMRR of Low Power Instrumentation Amplifier Using High Gain Operational Amplifiers

Author: Rashmi Sahu, Sudip Kundu, and Maitraiyee Konar
Subjects: 010302 applied physics, High-gain antenna, Computer science, business.industry, Electrical engineering, 02 engineering and technology, Building and Construction, 021001 nanoscience & nanotechnology, 01 natural sciences, law.invention, Power (physics), law, 0103 physical sciences, Operational amplifier, Instrumentation amplifier, 0210 nano-technology, business
Abstract: Background: Sensing of biomedical signals is crucial for monitoring of various health conditions. These signals have a very low amplitude (in μV) and a small frequency range ( Objective: The objective of this article is to achieve high gain accuracy and CMRR of low power INA by having high gain operational amplifiers (Op-Amps), which are the building blocks of the INAs. Methods: For the implementation of the Op-Amps and the INAs, the Cadence Virtuoso tool was used. All the designs and implementation were realized in 0.18 μm CMOS technology. Results: Three different Op-Amp topologies namely single-stage differential Op-Amp, folded cascode Op-Amp, and multi-stage Op-Amp were implemented. Using these Op-Amp topologies separately, three Op-Amp-based INAs were realized and compared. The INA designed using the high gain multistage Op-Amp topology of low-frequency gain of 123.89 dB achieves a CMRR of 164.1 dB, with the INA’s gain accuracy as good as 99%, which is the best when compared to the other two INAs realized using the other two Op-Amp topologies implemented. Conclusion: Using very high gain Op-Amps as the building blocks of the INA improves the gain accuracy of the INA and enhances the CMRR of the INA. The three Op-Amp-based INA designed with the multi-stage Op-Amps shows state-of-the-art characteristics as its gain accuracy is 99% and CMRR is as high as 164.1 dB. The power consumed by this INA is 29.25 μW by operating on a power supply of ±0.9V. This makes this INA highly suitable for low power measurement applications.
Published: 2020

31. Consensus Q‐Learning for Multi‐agent Cooperative Planning

Author: Amit Konar and Arup Kumar Sadhu
Subjects: Consensus, Equilibrium selection, business.industry, Computer science, Control (management), Q-learning, Benchmark (computing), Artificial intelligence, Cooperative planning, business, Bottleneck, Task (project management)
Abstract: This chapter proposes consensus‐based multi‐agent Q‐learning (MAQL) to address the bottleneck of the optimal equilibrium selection among multiple types. It briefly introduces the adaption mechanism of single agent QL and the state‐of‐the‐art equilibrium‐based MAQL algorithms. Then the cooperative control problem employing PGs mainly focusing upon the consensus problem is briefly discussed. The chapter also proposes a novel consensus QL (CoQL). Subsequently, a consensus‐based multirobot cooperative planning algorithm is proposed. Then two experiments are presented. The first experiment is designed to study the relative performance of the CoQL over the reference algorithms. Another experiment is framed to study the relative performance of the consensus‐based planning algorithm over the reference algorithms, considering multi‐robot stick carrying problem as a benchmark in terms of state‐transitions required to complete the task.
Published: 2020

32. Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task Planning

Author: Arup Kumar Sadhu and Amit Konar
Subjects: Joint action, Action (philosophy), business.industry, Computer science, Convergence (routing), Selection (linguistics), Q-learning, Mobile robot, Artificial intelligence, State (computer science), business, Task (project management)
Abstract: This chapter aims at extending traditional multi‐agent Q‐learning (MAQL) algorithms to improve their speed of convergence by incorporating two interesting properties, concerning exploration of the team‐goal and selection of joint action at a given joint state. It begins by reviewing the preliminaries of reinforcement leaning (RL). The motivation of RL is to derive the optimal action at a given environmental state for which the agent would be able to derive the maximum reward. Such formulation of deriving optimal action at a given state based on the learned experience of interaction with the environment has plenty of interesting applications, including generating moves in a game, and complex task‐planning and motion‐planning of a mobile robot in a constrained environment. The chapter then introduces the proposed fast cooperative multi‐agent Q‐learning algorithms. The chapter deals with multi‐agent cooperative planning algorithms and includes experiments and results.
Published: 2020

33. A Comparative Study on Efficacy of Suprascapular Nerve Block vs Subacromial Steroid Injection in Shoulder Impingement Syndrome

Author: Ishita Dey, Vasundhara Ghosal, Rajesh Pramanik, Firdaus Kamal, and Ambar Konar
Subjects: Subacromial steroid injection, Psychiatry and Mental health, medicine.medical_specialty, Suprascapular nerve block, business.industry, Shoulder Impingement Syndrome, Medicine, business, Surgery
Published: 2020

34. Invisible Higgs search through vector boson fusion: a deep learning approach

Author: Partha Konar, Aruna Kumar Nayak, Vishal S. Ngairangbam, and Akanksha Bhardwaj
Subjects: Particle physics, Physics and Astronomy (miscellaneous), Event (relativity), Physics beyond the Standard Model, FOS: Physical sciences, Parton, lcsh:Astrophysics, 01 natural sciences, High Energy Physics - Experiment, Vector boson, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), 0103 physical sciences, lcsh:QB460-466, lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, 010306 general physics, Engineering (miscellaneous), Event reconstruction, Physics, 010308 nuclear & particles physics, business.industry, Deep learning, High Energy Physics::Phenomenology, High Energy Physics - Phenomenology, Higgs boson, lcsh:QC770-798, Artificial intelligence, business, Fusion mechanism
Abstract: Vector boson fusion proposed initially as an alternative channel for finding heavy Higgs has now established itself as a crucial search scheme to probe different properties of the Higgs boson or for new physics. We explore the merit of deep-learning entirely from the low-level calorimeter data in the search for invisibly decaying Higgs. Such an effort supersedes decades-old faith in the remarkable event kinematics and radiation pattern as a signature to the absence of any color exchange between incoming partons in the vector boson fusion mechanism. We investigate among different neural network architectures, considering both low-level and high-level input variables as a detailed comparative analysis. To have a consistent comparison with existing techniques, we closely follow a recent experimental study of CMS search on invisible Higgs with 36 fb$^{-1}$ data. We find that sophisticated deep-learning techniques have the impressive capability to improve the bound on invisible branching ratio by a factor of three, utilizing the same amount of data. Without relying on any exclusive event reconstruction, this novel technique can provide the most stringent bounds on the invisible branching ratio of the SM-like Higgs boson. Such an outcome has the ability to constraint many different BSM models severely., Included estimation of pixelwise energy uncertainty, minor changes in text and updated references. Accepted for publication in EPJC
Published: 2020

35. The prevalence, preventive measures and economic impact of pandemic COVID-19 in India: the initial phase

Author: Animesh Kundu, Subhadeep Ghosh, Ishita Chatterjee, Susmita Nad, Sukhen Kali, Sandeep Chatterjee, Sourav Singha, Sristishil Nandi, Ujjal Konar, and Arindam Ganguly
Subjects: Poverty, Transmission (medicine), business.industry, Outbreak, Disease, medicine.disease_cause, medicine.disease, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Malnutrition, 0302 clinical medicine, 030228 respiratory system, Environmental health, Pandemic, medicine, 030212 general & internal medicine, Economic impact analysis, General Agricultural and Biological Sciences, business, Coronavirus
Abstract: The novel coronavirus (SARS-CoV-2) is posing a serious threat to the mankind with its massive infection rate and potentially fatality. A total of 212 countries have been infected within the 112 days of ﬁrst report causing 2 314 621 conﬁrmed cases and 157 847 deaths worldwide. India, the country which is already battling with poverty, malnutrition and high population density is also at the second stage of coronavirus transmission. The situation is worsening and the attention has focused on the prevalence and preventive measures to be taken to protect 1.35 billion people of the largest democratic country of the world. In this review, a study has been designed to evaluate the prevalence, transmission, clinical symptoms, and preventive measures to control the community transmission of this fatal disease. The initial impact of coronavirus disease (COVID-19) outbreak on Indian economy has also been dealt with. This study reviews and summarizes the main points of the epidemic in India until the end of April 2020.
Published: 2020

36. Does balneotherapy provide additive effects to physical therapy in patients with subacute supraspinatus tendinopathy? A randomized, controlled, single-blind study

Author: Cihan Koç, Emine Eda Kurt, Hatice Rana Erdem, Naime Meric Konar, and Fatmanur Aybala Koçak
Subjects: Balneotherapy, Atmospheric Science, medicine.medical_specialty, Rotator cuff lesions, 010504 meteorology & atmospheric sciences, SF-36, Visual analogue scale, Health, Toxicology and Mutagenesis, medicine.medical_treatment, 01 natural sciences, Transcutaneous electrical nerve stimulation, law.invention, Rotator Cuff, 03 medical and health sciences, 0302 clinical medicine, Quality of life, law, medicine, Humans, Single-Blind Method, In patient, Physical Therapy Modalities, 0105 earth and related environmental sciences, 030203 arthritis & rheumatology, Original Paper, Hand Strength, Ecology, Balneology, business.industry, medicine.disease, Subacute supraspinatus tendinopathy, Treatment Outcome, Tendinopathy, Quality of Life, Physical therapy, Range of motion, business
Abstract: This study assessed the additional contribution of balneotherapy on physical therapy in subacute supraspinatus tendinopathy. Ninety patients with subacute supraspinatus tendinopathy were included. They were randomized into two equal groups. In group 1 (n = 45), transcutaneous electrical nerve stimulation (TENS), hot pack, ultrasound treatments, and Codman’s and range of motion (ROM) exercises were performed. In group 2 (n = 45), balneotherapy was added to the treatment program. In both groups, shoulder active ROM and handgrip strength were measured. Pain was evaluated using a Visual Analogue Scale (VAS) (rest, sleep, movement); functional assessment and quality of life were measured respectively with the Shortened Disabilities of the Arm, Shoulder and Hand Questionnaire (QuickDASH), and the Short Form-36 health survey (SF 36) form. All measurements were repeated before and after 15 treatment sessions. There were statistically significant differences between the before and after assessment parameters in group 1 (all p < 0.05), but not for SF-36 General Health Perceptions, SF-36 Mental Health sub-parameters, and handgrip strengths. However, there were statistically significant differences between all the evaluation before and after the treatment in group 2 (all p < 0.05). When the two groups were compared in terms of alpha gains, statistically significant differences were observed in favor of group 2 in all measurements (all p < 0.05) except for SF-36 Emotional Role Difficulty and SF-36 Mental Health sub-parameters. This study shows that the addition of balneotherapy to physical therapy for subacute supraspinatus tendinopathy can make additional contributions to shoulder ROM, pain, handgrip strength, functional status, and quality of life.
Published: 2020

37. Cardiovascular Manifestations in COVID-19

Author: Niladri Konar, Indranil Chakravorty, Jessica Denman, Alice Moseley, Fabiola Hatahintwali, Reema Ali, Anna Zatorska, and Pratyasha Saha
Subjects: Marketing, Economics and Econometrics, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, General Chemical Engineering, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Atrial fibrillation, Acute respiratory distress, medicine.disease, Internal medicine, Cohort, Palpitations, medicine, General Materials Science, Ischaemic heart disease, medicine.symptom, Respiratory system, business
Abstract: Novel COVID-19 pandemic presented primarily as a severe acute respiratory distress syndrome however, in addition to respiratory features there were many with cardiovascular presentations, not ‘typical’ of COVID-19 that caused confusion in diagnosis and management in frontline units. A case-series was undertaken in a large London Hospital to describe cardiovascular manifestations and outcomes (discharge vs death) of all patients with a laboratory-confirmed SARS-CoV-2 infection, admitted from March-May 2020. Results In this cohort (n=855) there were 295 deaths (standardised mortality 345 per thousand admissions). Patients who had died were older; age 72.2 (SD 16.3) vs 64.8 (18.7) years, p
Published: 2020

38. Optimized Substrate for Improved Performance of Stacked Nanosheet Field-Effect Transistor

Author: Aniruddha Konar, V. Jegadheesan, and K. Sivasankaran
Subjects: 010302 applied physics, Materials science, Silicon, business.industry, Transistor, Silicon on insulator, chemistry.chemical_element, Biasing, 01 natural sciences, Electronic, Optical and Magnetic Materials, law.invention, chemistry, law, 0103 physical sciences, Tunnel diode, Optoelectronics, Field-effect transistor, Electrical and Electronic Engineering, business, NMOS logic, Leakage (electronics)
Abstract: The recently proposed stacked nanosheet-field-effect transistor (SNSH-FET) is considered as a promising candidate for continued scaling with silicon. While using punchthrough-stopper-doped (or) ground-plane-doped silicon substrate (PTS-Si substrate) in which the top part of the substrate is doped heavily with the p-type (for nMOS) impurity to avoid punchthrough leakage between the source and the drain. The heavily doped p–n junction formed at the drain–substrate junction acts as a reverse-biased tunnel diode during ${V}_{{\text {DS}}}$ biasing, which leads to large substrate leakage current. We presented SuperSteep-Retrograde silicon substrate (SSR-Si substrate) configuration which reduces the tunneling current by increasing the tunnel barrier width and diminishing the peak electric field at the drain–substrate junction. The SSR-Si substrate is achieved by growing a lightly doped or undoped layer of silicon (SSR-buffer layer) on the PTS-doped substrate. The impact of SSR-buffer layer thickness is studied and the optimal thickness (12 nm) is presented. The vertically stacked channels’ configuration leads to position-dependent current densities in different channels due to position-dependent series resistance. Herein, we present nanosheet width optimization as a solution to achieve homogeneous current ratio between all the channels thereby resulting in better linearity performance. The self-heating and RF performance of the presented SSR-Si substrate is compared with the silicon-on-insulator (SOI) substrate. The results show that SSR-Si substrate can be a better substrate for SNSH-FET because of better self-heating performance.
Published: 2020

39. Development of a novel tuned liquid damper with floating base for converting deep tanks into effective vibration control devices

Author: Aparna (Dey) Ghosh and Tanmoy Konar
Subjects: Materials science, business.industry, Base (geometry), Vibration control, 020101 civil engineering, Tuned liquid damper, 02 engineering and technology, Building and Construction, Structural engineering, Liquid storage tank, 0201 civil engineering, Damper, 020303 mechanical engineering & transports, 0203 mechanical engineering, Liquid storage, business, Civil and Structural Engineering
Abstract: Despite the proven effectiveness of tuned liquid dampers (TLDs), readily available liquid storage tanks are rarely utilized for vibration control of laterally-excited structures, as these are deep tanks with low inherent damping. Further, the fluctuation in liquid level in these tanks also causes variation in the fundamental sloshing frequency, leading to detuning. To overcome these problems, a novel TLD with floating base (TLD-FB) is proposed, in which a constant and shallow liquid level is maintained between the free liquid surface and the floating base. The liquid above the floating base acts as a conventional shallow TLD that always remains tuned to the structural frequency. The paper demonstrates how the TLD-FB can be incorporated into a water storage tank system on an example building without disturbing its functionality and achieves structural response reduction, despite water level fluctuations in the tanks.
Published: 2020

40. Exploration of Subjective Color Perceptual-Ability by EEG-Induced Type-2 Fuzzy Classifiers

Author: Pratyusha Rakshit, Mousumi Laha, Atulya K. Nagar, and Amit Konar
Subjects: business.industry, Computer science, Feature extraction, Fuzzy set, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, 02 engineering and technology, Vertical slice, Fuzzy logic, 03 medical and health sciences, 0302 clinical medicine, Software, Artificial Intelligence, Colors of noise, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Classifier (UML), 030217 neurology & neurosurgery, Statistical hypothesis testing
Abstract: Perceptual-ability informally refers to the ability of a person to recognize a stimulus. This article deals with color perceptual-ability measurement of subjects using brain response to basic color (red, green, and blue) stimuli. It also attempts to determine the subjective ability to recognize the base colors in the presence of noise tolerance of the base colors, referred to as recognition tolerance. Because of intrasession and intersession variations in subjective brain signal features for a given color stimulus, there exists uncertainty in perceptual-ability. In addition, small variations in the color stimulus result in wide variations in brain signal features, introducing uncertainty in the perceptual-ability of the subject. Type-2 fuzzy logic has been employed to handle the uncertainty in color perceptual-ability measurements due to: 1) variations in brain signal features for a given color and 2) the presence of colored noise on the base colors. Because of the limited power of uncertainty management of the interval type-2 fuzzy sets and high computational overhead of its general type-2 counterpart, we develop a semi-general type-2 fuzzy classifier to recognize the base color. It is important to note that the proposed technique transforms a vertical slice-based general type-2 fuzzy set (GT2FS) into an equivalent interval type-2 counterpart to reduce the computational overhead, without losing the contributions of the secondary memberships. The proposed Semi-GT2FSs-induced classifier yields superior performance in classification accuracy with respect to existing type-1, type-2, and other well-known classifiers. The brain-understanding of a perceived base or noisy base colors is also obtained by exact low-resolution electromagnetic topographic analysis (e-LORETA) software. This is used as the reference for our experimental results of the semi-general type-2 classifier in color perceptual-ability detection. Statistical tests undertaken confirm the superiority of the proposed classifier over its competitors. The proposed technique is expected to have interesting applications in identifying people with excellent color perceptual-ability for chemical, pharmaceutical, and textile industries.
Published: 2020

41. Short‐Term Memory Modeling in Shape‐Recognition Task by Type‐2 Fuzzy Deep Brain Learning

Author: Lidia Ghosh, Amit Konar, and Pratyusha Rakshit
Subjects: Hebbian theory, Recall, Computer science, business.industry, Encoding (memory), Short-term memory, Pattern recognition, Context (language use), Artificial intelligence, Object (computer science), Vertical slice, business, Fuzzy logic
Abstract: This chapter attempts to model short‐term memory (STM) for shape reconstruction tasks by employing a four‐stage deep brain leaning network (DBLN), where the first two stages are built with Hebbian learning and the last two stages with type‐2 fuzzy logic. It aims to test the consistency in STM encoding for repeated visual stimulation with the same geometric object. The chapter explores the overall design of the DBLN model with emphasis to the last two stages of the network, built with vertical slice‐based type‐2 fuzzy logic, to handle uncertainty in function approximation. It develops one computational model of the STM for use in the shape‐reconstruction task with the motivation to determine the degradation in recall performance of the memory using electroencephalographic signatures of the selected brain lobes. It synthesizes functionality of different brain modules by distinctive layers with suitable nonlinearity in the context of STM encoding and recall.
Published: 2020

42. <scp>EEG</scp>Analysis for Subjective Assessment of Motor Learning Skill in Driving Using Type‐2 Fuzzy Reasoning

Author: Lidia Ghosh, Pratyusha Rakshit, and Amit Konar
Subjects: medicine.diagnostic_test, Computer science, business.industry, Feature extraction, Inference, Electroencephalography, Machine learning, computer.software_genre, Fuzzy logic, N400, Interfacing, medicine, Automated reasoning, Artificial intelligence, Motor learning, business, computer
Abstract: This chapter attempts to measure the motor learning skill of subjects using 2 well‐known brain signals, called error‐related potential (ErrP) and N400. It aims to develop a hybrid brain–computer interfacing system with a motivation to detect motor execution failures. The proposed motor learning skill assessment includes three steps: feature extraction of the used electroencephalography (EEG) signals, detection of the EEG signals based on the selected features, and automated reasoning to measure the degree of learning skill of the driving learners in motor learning activity. The chapter provides a general overview of the problem along with the design of the fuzzy rules and the approach is undertaken. It concerns the inference generation procedures by the proposed type‐2 fuzzy reasoning to determine the degree of learning of the desired motor actuation. The chapter deals the experiments undertaken and results obtained thereof and provides performance analysis and statistical validation.
Published: 2020

43. Cognitive Load Assessment in Motor Learning Tasks by Near‐Infrared Spectroscopy Using Type‐2 Fuzzy Sets

Author: Lidia Ghosh, Amit Konar, and Pratyusha Rakshit
Subjects: Normalization (statistics), Computer science, business.industry, Fuzzy set, Feature extraction, Feature selection, Pattern recognition, Artificial intelligence, Motor learning, Set (psychology), business, Fuzzy logic, Cognitive load
Abstract: This chapter addresses a novel approach to assess and classify, by near‐Infrared spectroscopy, the cognitive load of subjects from their hemodynamic response while engaged in motor learning tasks such as vehicle driving. Classification of cognitive load includes five main steps: acquisition and normalization of the fNIRs signals, pre‐processing and artifact removal, feature extraction, feature selection, and classification. A set of complex motor‐activity‐learning stimuli for braking, steering control, and acceleration is prepared to experimentally measure and classify the cognitive load of car drivers in three distinct classes: high, medium, and low. The chapter proposes new models of general and interval type‐2 fuzzy classifiers to reduce the scope of uncertainty in cognitive load classification due to the fluctuation of the hemodynamic features within and across sessions. It discusses the design issues and biological implications of the type‐2 fuzzy classifiers. The chapter also provides experimental basis for performance analysis and comparison of the proposed classifiers with traditional/existing ones.
Published: 2020

44. Evaluation of a screening program for iron overload and HFE mutations in 50,493 blood donors

Author: Lena Lyxe, Sofia Frändberg, Cecilia Pardi, Carl Eckerström, and Jan Konar
Subjects: Adult, Male, medicine.medical_specialty, Genotype, Mutation, Missense, Compound heterozygosity, Blood donors, Donor Selection, Young Adult, 03 medical and health sciences, Screening program, 0302 clinical medicine, Gene Frequency, Internal medicine, medicine, Humans, Hemochromatosis Protein, Genotyping, Sweden, Hematology, business.industry, Iron levels, General Medicine, Middle Aged, University hospital, Organ damage, Geographic distribution, Early Diagnosis, Hereditary hemochromatosis, Ferritins, Female, 030211 gastroenterology & hepatology, Original Article, Hemochromatosis, HFE, business, Program Evaluation, 030215 immunology
Abstract: Early detection of individuals with hereditary hemochromatosis (HH) is important to manage iron levels and prevent future organ damage. Although theHFE mutations that cause most cases of HH have been identified, their geographic distribution is highly variable, and their contribution to iron overload is not fully understood. All new registered blood donors at the Sahlgrenska University hospital between 1998 and 2015 were included in the study. Donors with signs of iron overload at baseline and subsequent follow-up testing were recommended genotyping of the HFE gene. Of the 50,493 donors that were included in the study, 950 (1.9%) had signs of iron overload on both test occasions. Of the 840 donors with iron overload that performed HFE genotyping, 117 were homozygous for C282Y, and 97 were compound heterozygotes. The prevalence of C282Y homozygosity was 0.23%. Iron overload screening effectively detects individuals at risk of carrying the C282Y mutation of the HFE gene and enables early treatment to prevent HH complications.
Published: 2020

45. Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network

Author: Amit Konar, Pratyusha Rakshit, Atulya K. Nagar, and Lidia Ghosh
Subjects: Control and Optimization, Computational complexity theory, business.industry, Computer science, Feature extraction, Fuzzy set, Short-term memory, Pattern recognition, Fuzzy logic, Computer Science Applications, Computational Mathematics, Function approximation, Hebbian theory, Artificial Intelligence, Artificial intelligence, business, Inner loop
Abstract: The paper attempts to model short-term memory (STM) for shape-reconstruction tasks by employing a 4-stage deep brain leaning network (DBLN), where the first two stages are built with Hebbian learning and the last two stages with Type-2 Fuzzy logic. The model is trained stage-wise independently with visual stimulus of the object-geometry as the input of the first stage, EEG acquired from different cortical regions as input and output of respective intermediate stages, and recalled object-geometry as the output of the last stage. Two error feedback loops are employed to train the proposed DBLN. The inner loop adapts the weights of the STM based on a measure of error in model-predicted response with respect to the object-shape recalled by the subject. The outer loop adapts the weights of the iconic (visual) memory based on a measure of error of the model predicted response with respect to the desired object-shape. In the test phase, the DBLN model reproduces the recalled object shape from the given input object geometry. The motivation of the paper is to test the consistency in STM encoding (in terms of similarity in network weights) for repeated visual stimulation with the same geometric object. Experiments undertaken on healthy subjects, yield high similarity in network weights, whereas patients with pre-frontal lobe Amnesia yield significant discrepancy in the trained weights for any two trials with the same training object. This justifies the importance of the proposed DBLN model in automated diagnosis of patients with learning difficulty. The novelty of the paper lies in the overall design of the DBLN model with special emphasis to the last two stages of the network, built with vertical slice based type-2 fuzzy logic, to handle uncertainty in function approximation (with noisy EEG data). The proposed technique outperforms the state-of-the-art functional mapping algorithms with respect to the (pre-defined outer loop) error metric, computational complexity and runtime.
Published: 2020

46. Significance of Core Length in Current Transrectal Ultrasound-guided Prostate Biopsy in Patients with Normal Digital Rectal Examination

Author: Bulent Akdogan, Naime Meriç Konar, Emin Mammadov, Burak Citamak, Mesut Altan, and Haluk Ozen
Subjects: medicine.medical_specialty, medicine.diagnostic_test, business.industry, lcsh:Surgery, lcsh:RD1-811, Rectal examination, prostate cancer, lcsh:Diseases of the genitourinary system. Urology, lcsh:RC870-923, Ultrasound-Guided Prostate Biopsy, Core (optical fiber), medicine, biopsy, In patient, Radiology, transrectal core biopsy, business
Abstract: Objective:To reveal the significance of core length in current primary transrectal ultrasound-guided prostate biopsy (TRUS-PB) in patients with normal digital rectal examination.Materials and Methods:Data of 3520 patients, who received TRUS-PB between March 2002 and April 2015, were reviewed retrospectively. A total of 1627 primary biopsy patients with a normal digital examination and with no lesion in TRUS were included in the study. The mean core length was found by dividing the sum of the total core lengths by the core number. The relationships of cancer detection rate (CDR) with age, Prostate-specific antigen (PSA) value, prostate volume, number of cores (10 or 12 cores) and mean core length were investigated.Results:The mean patient age, PSA and prostate volume were 62.3±7.9 years, 9.1±7.8 ng/mL and 55.8±21 mL, respectively. Cancer was diagnosed in 394 patients (24.2%). The mean core length was 12.7±1.7 (4.3-21.5) mm. Ten- and 12- core biopsies were performed in 1068 (65.6%), and 559 (34.4%) patients, respectively. Older age, PSA, mean core length, number of cores and reduced prostate volume were found to be associated with CDR (p
Published: 2020

47. Effect of Respiratory Physiological Changes on Optic Nerve Sheath Diameter and Cerebral Oxygen Saturation in Patients With Acute Traumatic Brain Injury

Author: Sweatha Balakrishnan, Dhritiman Chakrabarti, Shwetha Naik, Subhas Konar, and Kamath Sriganesh
Subjects: Male, Optic nerve sheath, Intracranial Pressure, Traumatic brain injury, Cerebral oxygen saturation, Raised intracranial pressure, 03 medical and health sciences, 0302 clinical medicine, 030202 anesthesiology, Brain Injuries, Traumatic, Humans, Medicine, In patient, Prospective Studies, Respiratory system, Aged, Ultrasonography, business.industry, Optic Nerve, Oxygenation, medicine.disease, Anesthesiology and Pain Medicine, Oxygen Saturation, Anesthesia, ON - Optic nerve, Surgery, Neurology (clinical), Intracranial Hypertension, business, 030217 neurology & neurosurgery
Abstract: BACKGROUND Severe traumatic brain injury (TBI) results in raised intracranial pressure (ICP). Ultrasonographic measurement of the optic nerve sheath diameter (ONSD) is a noninvasive method for the assessment of raised ICP. Manipulation of positive end-expiratory pressure (PEEP) and end-tidal carbon dioxide (ETCO2) are often used to optimize ICP and improve oxygenation in TBI patients. This study evaluated the effects of PEEP and ETCO2 on ONSD and regional cerebral oxygen saturation (rScO2) in patients with acute TBI. METHODS A total of 14 patients (11 males) aged older than 18 years with acute severe TBI were included in this study. ONSD and rScO2 were assessed before and after changes in PEEP from 5 to 10 cm H2O and in ETCO2 from 40 to 30 mm Hg on both pathologic and nonpathologic sides. RESULTS Increasing PEEP and reducing ETCO2 resulted in changes in ONSD and rScO2 on both pathologic and nonpathologic sides. On the pathologic side, ONSD and rScO2 were highest with a PEEP of 10 cm H2O:ETCO2 40 mm Hg combination and lowest with PEEP of 5 cm H2O:ETCO2 30 mm Hg (ONSD 5.24±0.49 vs. 4.27±0.36 mm, P
Published: 2020

48. Predicting Students' Grades Using CART, ID3, and Multiclass SVM Optimized by the Genetic Algorithm (GA): A Case Study

Author: Prativa Rai, Tejaswini Sapkota, Debanjan Konar, Tania Dey, and Ruchita Pradhan
Subjects: Cart, Computer science, business.industry, Multiclass svm, ID3 algorithm, Pattern recognition, computer.file_format, Neural network classifier, Support vector machine, Genetic algorithm, Artificial intelligence, business, computer, ID3
Published: 2020

49. Diffusion-Weighted and Dynamic Contrast-Enhanced MRI Derived Imaging Metrics for Stereotactic Body Radiotherapy of Pancreatic Ductal Adenocarcinoma: Preliminary Findings

Author: Jung Hun Oh, Marsha Reyngold, Richard K. G. Do, Ramesh Paudyal, Karyn A. Goodman, Amita Shukla-Dave, Amaresha Shridhar Konar, and Eve LoCastro
Subjects: Male, Contrast Media, pancreatic ductal adenocarcinoma, Radiosurgery, Standard deviation, Antineoplastic Combined Chemotherapy Protocols, quantitative imaging, diffusion-weighted, dynamic contrast-enhanced, shutter-speed model, stereotactic body radiotherapy, medicine, Humans, Effective diffusion coefficient, Radiology, Nuclear Medicine and imaging, Diffusion (business), Research Articles, Aged, Extravascular Extracellular Volume Fraction, medicine.diagnostic_test, business.industry, Chemistry, Magnetic resonance imaging, Middle Aged, Magnetic Resonance Imaging, Pancreatic Neoplasms, Benchmarking, Skewness, Dynamic contrast-enhanced MRI, Kurtosis, Female, Nuclear medicine, business
Abstract: We aimed to assess longitudinal changes in quantitative imaging metric values obtained from diffusion-weighted (DW-) and dynamic contrast-enhanced magnetic resonance imaging (DCE)-MRI at pre-treatment (TX[0]), immediately after the first fraction of stereotactic body radiotherapy (D1-TX[1]), and 6 weeks post-TX (Post-TX[2]) in patients with pancreatic ductal adenocarcinoma. Ten enrolled patients (n = 10) underwent DW- and DCE-MRI examinations on a 3.0 T scanner. The apparent diffusion coefficient, ADC (mm2/s), was derived from DW imaging data using a monoexponential model. The tissue relaxation rate, R1t, time-course data were fitted with a shutter-speed model, which provides estimates of the volume transfer constant, Ktrans (min−1), extravascular extracellular volume fraction, ve, and mean lifetime of intracellular water protons, τi (seconds). Wilcoxon rank-sum test compared the mean values, standard deviation, skewness, kurtosis, and relative percentage (r, %) changes (Δ) in ADC, Ktrans, ve, and τi values between the magnetic resonance examinations. rADCΔ2–0 values were significantly greater than rADCΔ1-0 values (P = .009). rKtransΔ2–0 values were significantly lower than rKtrans Δ1-0 values (P = .048). rveΔ2-1 and rveΔ2-0 values were significantly different (P = .016). rτiΔ2-1 values were significantly lower than rτiΔ2-0 values (P = .008). For group comparison, the pre-TX mean and kurtosis of ADC (P = .18 and P = .14), skewness and kurtosis of Ktrans values (P = .14 for both) showed a leaning toward significant difference between patients who experienced local control (n = 2) and failed early (n = 4). DW- and DCE-MRI-derived quantitative metrics could be useful biomarkers to evaluate longitudinal changes to stereotactic body radiotherapy in patients with pancreatic ductal adenocarcinoma.
Published: 2020

50. Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis

Author: Vaios Hatzoglou, Jung Hun Oh, Eve LoCastro, James R. Ewing, Nancy Y. Lee, Amita Shukla-Dave, Joseph O. Deasy, Yousef Mazaheri, Ramesh Paudyal, Yonggang Lu, Amaresha Shridhar Konar, Kira vom Eigen, and Alan L. Ho
Subjects: Male, Magnetic Resonance Spectroscopy, Contrast Media, computational fluid modeling, lymph node metastases, interstitial fluid pressure and velocity, head and neck cancer, dynamic contrast-enhanced MRI, extended Tofts model, Darcy velocity, Pressure, medicine, Humans, Radiology, Nuclear Medicine and imaging, Lymph node, Research Articles, Physics, medicine.diagnostic_test, business.industry, Head and neck cancer, Extracellular Fluid, Magnetic resonance imaging, Interstitial fluid pressure, medicine.disease, Dynamic contrast, medicine.anatomical_structure, Head and Neck Neoplasms, Dynamic contrast-enhanced MRI, Feasibility Studies, Female, Lymph, Nuclear medicine, business, Fluid modeling
Abstract: We developed and tested the feasibility of computational fluid modeling (CFM) based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for quantitative estimation of interstitial fluid pressure (IFP) and velocity (IFV) in patients with head and neck (HN) cancer with locoregional lymph node metastases. Twenty-two patients with HN cancer, with 38 lymph nodes, underwent pretreatment standard MRI, including DCE-MRI, on a 3-Tesla scanner. CFM simulation was performed with the finite element method in COMSOL Multiphysics software. The model consisted of a partial differential equation (PDE) module to generate 3D parametric IFP and IFV maps, using the Darcy equation and Ktrans values (min−1, estimated from the extended Tofts model) to reflect fluid influx into tissue from the capillary microvasculature. The Spearman correlation (ρ) was calculated between total tumor volumes and CFM estimates of mean tumor IFP and IFV. CFM-estimated tumor IFP and IFV mean ± standard deviation for the neck nodal metastases were 1.73 ± 0.39 (kPa) and 1.82 ± 0.9 × (10−7 m/s), respectively. High IFP estimates corresponds to very low IFV throughout the tumor core, but IFV rises rapidly near the tumor boundary where the drop in IFP is precipitous. A significant correlation was found between pretreatment total tumor volume and CFM estimates of mean tumor IFP (ρ = 0.50, P = 0.004). Future studies can validate these initial findings in larger patients with HN cancer cohorts using CFM of the tumor in concert with DCE characterization, which holds promise in radiation oncology and drug-therapy clinical trials.
Published: 2020

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