15,861 results on '"Sinha P"'
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2. Bile Acids as Modulators of α‑Synuclein Aggregation: Implications for Parkinson's Therapy.
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Kaur, Harpreet, Swadia, Devansh, and Sinha, Sharmistha
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- 2024
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3. Selective Recognition of the Dimeric NG16 Parallel G‑Quadruplex Structure Using Synthetic Turn-On Red Fluorescent Protein Chromophore.
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Choudhary, Nishant Kumar, Gupta, Shalini, Das, Gourav, Sahoo, Avijit, Harikrishna, S., Sinha, Surajit, and Gore, Kiran R.
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- 2024
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4. Prognostic Implications of Quantifying Vasoactive Medications in Cardiogenic Shock.
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VALLABHAJOSYULA, SARASCHANDRA, FAUGNO, ANTHONY J., LI, BORUI, JOHN, KEVIN, KONG, QIUYUE, SINHA, SHASHANK S., HERNANDEZ-MONTFORT, JAIME, KANWAR, MANREET K., ABRAHAM, JACOB, BLUMER, VANESSA, FARR, MARYJANE, FRIED, JUSTIN, GARAN, ARTHUR R., HALL, SHELLEY, HICKEY, GAVIN W., KATARIA, RACHNA, KIM, JU, LI, SONG, MAHR, CLAUDIUS, and NATHAN, SANDEEP
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- 2024
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5. Numerical Analysis of Effects of Vane Deflection Angle on Flow-Thermal Characteristics in a Fuel Rod Assembly.
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Dhurandhar, Satish Kumar, Sinha, S. L., and Verma, Shashi Kant
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The utilization of a grid spacer with vane is a significant component within reactor fuel channels. The presence of the vane has a notable impact on the mixing of flow and the enhancement of heat transfer within subchannels. The purpose of this work was to perform a numerical analysis of the effects of the vane deflection angle on the flow-thermal characteristics in a fuel rod assembly. In the current analysis, a square array consisting of a 5 × 5 rod bundle was utilized. The pitch-to-rod diameter ratio was set to 1.33, while the blockage ratio of the grid spacer was determined to be 0.16. A relative study was made for flow-thermal characteristics with four different vane deflection angles, such as 21 deg, 25 deg, 29 deg, and 33 deg. Analyses were made for a fluid pressure of 15.5 MPa, an inlet temperature of 583 K, and a velocity of 4.74 m/s. The present study investigated the Shear Stress Transport (SST) k-ω and Renormalization Group (RNG) k-ε turbulence models to analyze flow phenomena and thermal performance. The numerical results were validated through experimental data and also compared with correlations proposed by researchers. The analysis of the results was carried out using various methods, including the examination of data curves and streamlines, as well as vector and contour plots. The results indicate that a higher deflection angle leads to a greater reduction in temperature at the grid spacer. The swirl ratio was observed to be maximum close downstream to the grid spacer, and the persistence of the swirl ratio in the downstream can enhance the performance of departure of nucleate boiling. The vane on the grid spacer with a higher deflection angle enhances the coefficient of heat transfer remarkably close to the downstream grid spacer. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Diverse Role of Buffer Mediums and Protein Concentrations to Mediate the Multimodal Interaction of Phenylalanine-Functionalized Gold Nanoparticle and Lysozyme Protein at Same Nominal pH.
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Maity, Avijit, Bagchi, Debanjan, Tabassum, Huma, Nath, Priyanka, Sinha, Saikat, and Chakraborty, Anjan
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- 2024
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7. Determination of the Optimum Architecture of Additively Manufactured Magnetic Bioactive Glass Scaffolds for Bone Tissue Engineering and Drug-Delivery Applications.
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Vishwakarma, Ashok and Sinha, Niraj
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- 2024
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8. Optimized Properties and Synthesis of Photoactivatable Diazoketorhodamines Facilitate and Enhance High-Throughput Single-Molecule Tracking.
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Pino, Nicholas W., Sizemore, Anne R., Cleary, Leah, Liu, Helen, McSwiggen, David T., Song, Dan, Beck, Hilary P., Cheng, Kylie, Hardy, Miki, Hsiung, Jessica, Tang, Yangzhong, Anugula, Rajender, Lakshman, Santhosh, Merneedi, Ravi K., and Sinha, Pradipta
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- 2024
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9. Anti-arthritic activity of Trayodashang guggulu, a classical Ayurvedic formulation against complete Freund's adjuvant-induced rheumatoid arthritis in rats.
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Bora, Manajit, Sinha, Barnali M., Dixit, Amit Kumar, Jamadagni, Shrirang, Gaidhani, Sudesh N., Gautam, Manish Kumar, Upadhyay, Sachidanand, Hazra, Jayram, and Srikanth, Narayanam
- Abstract
Background: Rheumatoid arthritis is a chronic autoimmune disease affecting millions of people across the world. Trayodashang guggulu (TG) is a classical Ayurvedic formulation used for the treating joint diseases since decades in the Indian system of traditional medicine. The aim of the study was to evaluate anti-arthritic activity of TG against complete Freund's adjuvant-induced arthritis in Wistar rats. Methods: Arthritis was induced by single injection of 0.1 ml complete Freund's adjuvant into the intraplanter surface of left hind paw of Wistar rats. TG was administered orally at the doses of 100, 200, 400 and 800 mg/kg body weight for 14 days. In the preventive dose group, TG was administered at the dose of 100 mg/kg body weight, orally for 28 days. Paw swelling, joint circumference, serum rheumatoid factor, C-reactive protein, serum IL-1β, TNF-α and histopathological parameters were assessed for the evaluation of arthritis. Effects of TG were compared with standard allopathic drug ibuprofen. Results: TG reversed complete Freund's adjuvant-induced arthritis in rats when used for 14 and 28 days. Serum rheumatoid factor, C-reactive protein, IL-1β and TNF-α were decreased in rats treated with both standard drug ibuprofen and TG. Conclusion: Oral administration of TG reduced experimentally induced rheumatoid arthritis in rats by reversing elevated level of serum biochemical markers as well as reducing joint destruction similar to ibuprofen. Results obtained from the study paved the way in exploring more specific mechanisms of action of TG involving in vitro and in silico models. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Yolk–Shell α‑/β-Ni(OH)2/Carbon Nanostructure for an Efficient Oxygen Evolution Reaction.
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Dey, Gargi, Saifi, Shadab, Yadav, Ashish Kumar, Awasthi, Shalini, Sinha, Akhoury Sudhir Kumar, and Aijaz, Arshad
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- 2024
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11. Unveiling Pathophysiological Insights: Serum Metabolic Dysregulation in Acute Respiratory Distress Syndrome Patients with Acute Kidney Injury.
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Singh, Anamika, Siddiqui, Mohd Adnan, Pandey, Swarnima, Azim, Afzal, and Sinha, Neeraj
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- 2024
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12. A Multicentric Case–Control Study for Diagnostic Utility of Non-contact Infrared Thermography (IRT) in Type 2 Diabetes.
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Sinha, Sanjeev, Ajayababu, Anuj, Titiyal, Renuka, Gupta, Sushil, Bhargav, Hemant, Kumar, Sandeep, Sharma, Kunal, Pandey, Shivam, and Goswami, Ravinder
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- 2024
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13. Noise of Investors' Attention Mania in the Twenty-first-Century Indian Stock Markets: ARDL and Augmented GARCH-X Models.
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Sinha, Paritosh Chandra
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- 2024
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14. Intestinal Parasitic Infections May Be Overlooked Drivers of the Tuberculosis Pandemic.
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Steel, Lili B., Narasimhan, Prakash Babu, Chaudhari, Megha, Dauphinais, Madolyn R., Huang, Samantha, Beall, Kaley, Carwile, Madeline E., Cintron, Chelsie, Xinyi Du, Heysell, Scott K., Lakshminarayanan, Subitha, Singh, Urvashi B., and Sinha, Pranay
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- 2024
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15. Multidisciplinary Care Teams in Acute Cardiovascular Care: A Review of Composition, Logistics, Outcomes, Training, and Future Directions.
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VALLABHAJOSYULA, SARASCHANDRA, OGUNSAKIN, ADEBOLA, JENTZER, JACOB C., SINHA, SHASHANK S., KOCHAR, AJAR, GERBERI, DANA J., MULLIN, CHRISTOPHER J., AHN, SUN HO, SODHA, NEEL R., VENTETUOLO, COREY E., LEVINE, DANIEL J., ABBOTT, BRIAN G., ALIOTTA, JASON M., POPPAS, ATHENA, and ABBOTT, J. DAWN
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• Patients in the cardiac intensive care unit have become increasingly complex and require multidisciplinary care. • There are limited and heterogeneous data on the role of multidisciplinary teams in acute cardiovascular care. • Further data on optimal leadership structure, training paradigms, staffing ratios, system-based logistics, and outcomes are needed. As cardiovascular care continues to advance and with an aging population with higher comorbidities, the epidemiology of the cardiac intensive care unit has undergone a paradigm shift. There has been increasing emphasis on the development of multidisciplinary teams (MDTs) for providing holistic care to complex critically ill patients, analogous to heart teams for chronic cardiovascular care. Outside of cardiovascular medicine, MDTs in critical care medicine focus on implementation of guideline-directed care, prevention of iatrogenic harm, communication with patients and families, point-of-care decision-making, and the development of care plans. MDTs in acute cardiovascular care include physicians from cardiovascular medicine, critical care medicine, interventional cardiology, cardiac surgery, and advanced heart failure, in addition to nonphysician team members. In this document, we seek to describe the changes in patients in the cardiac intensive care unit, health care delivery, composition, logistics, outcomes, training, and future directions for MDTs involved in acute cardiovascular care. As a part of the comprehensive review, we performed a scoping of concepts of MDTs, acute hospital care, and cardiovascular conditions and procedures. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Association of Hemometabolic Trajectory and Mortality: Insights From the Cardiogenic Shock Working Group Registry.
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KHALIFE, WISSAM, KANWAR, MANREET K., ABRAHAM, JACOB, LI, SONG, JOHN, KEVIN, SINHA, SHASHANK S., ZWECK, ELRIC, LI, BORUI, GARAN, ARTHUR R., HERNANDEZ-MONTFORT, JAIME, ZHANG, YIJING, TON, VAN-KHUE, GUGLIN, MAYA, KATARIA, RACHNA, HICKEY, GAVIN W., VALLABHAJOSYULA, SARASCHANDRA, KONG, CHLOE, FARR, MARYJANE, FRIED, JUSTIN, and HALL, SHELLEY
- Abstract
Cardiogenic shock (CS) is a hemodynamic syndrome that can progress to systemic metabolic derangements and end-organ dysfunction. Prior studies have reported hemodynamic parameters at the time of admission to be associated with mortality but hemodynamic trajectories in CS have not been well described. We studied the association between hemodynamic profiles and their trajectories and in-hospital mortality in patients with CS due to heart failure (HF-CS) and acute myocardial infarction (MI-CS). Using data from the large multicenter Cardiogenic Shock Working Group (CSWG) registry, we analyzed hemodynamic data obtained at the time of pulmonary artery catheter (PAC) insertion (dataset at baseline) and at PAC removal or death (dataset at final time point). Univariable regression analyses for prediction of in-hospital mortality were conducted for baseline and final hemodynamic values, as well as the interval change (delta-P). Data was further analyzed based on CS etiology and survival status. A total of 2260 patients with PAC data were included (70% male, age 61 ± 14 years, 61% HF-CS, 27% MI-CS). In-hospital mortality was higher in the MI-CS group (40.1%) compared with HF-CS (22.4%, P <.01). In the HF-CS cohort, survivors exhibited lower right atrial pressure (RAP), pulmonary artery pressure (PAP), cardiac output/index (CO/CI), lactate, and higher blood pressure (BP) than nonsurvivors at baseline. In this cohort, during hospitalization, improvement in metabolic (aspartate transaminase, lactate), BP, hemodynamic (RAP, pulmonary artery pulsatility index [PAPi], pulmonary artery compliance for right-sided profile and CO/CI for left-sided profile), had association with survival. In the MI-CS cohort, a lower systolic BP and higher PAP at baseline were associated with odds of death. Improvement in metabolic (lactate), BP, hemodynamic (RAP, PAPi for right-sided profile and CO/CI for left-sided profile) were associated with survival. In a large contemporary CS registry, hemodynamic trajectories had a strong association with short-term outcomes in both cohorts. These findings suggest the clinical importance of timing and monitoring hemodynamic trajectories to tailor management in patients with CS. • Baseline hemodynamics impact mortality in HF-CS more so than MI-CS. • Hemodynamics indicative of end-organ perfusion and congestion have distinct trajectories between survivors and non-survivors in CS. • Hemodynamic trajectories have strong association with hospital outcomes in both HF- and MI-CS • Changes in hemodynamics should be closely monitored to tailor management practices in CS [ABSTRACT FROM AUTHOR]
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- 2024
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17. Assessment of Nutrition Status of Mid Day Meal Beneficiaries and Pattern of its Utilization in Three Districts of Bihar: A State in Eastern India.
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Sinha, Nivedita, Upadhyay, Krishnamani, and Akhatri, Sahifa
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NUTRITIONAL assessment ,SCHOOL children ,STUNTED growth ,NUTRITIONAL status ,WELL-being - Abstract
Background: The Mid-Day Meal Program plays a pivotal role in enhancing the nutritional status and educational outcomes of primary school children in India. This study investigates the program’s impact on the nutritional well-being of children across three districts in Bihar. Methods: A community-based cross-sectional study was conducted, involving 1,070 primary school children from Saran, Muzaffarpur, and Patna districts. The assessment of nutritional status was based on indicators such as BMI for age, weight for height, and weight for age. Data related to children’s participation in the Mid-Day Meal Program was collected through relevant questionnaire and analysed using descriptive statistics. Results: Patna has the highest percentage of children receiving mid-day meal (89.86%) with lowest prevalence of wasting and severe wasting. The prevalence of stunting or wasting were more common in children aged greater than 10 years. The analysis revealed substantial challenges in nutritional status, with a high prevalence of stunting, underweight, and wasting among primary school children in the surveyed districts. In contrast, promising trends were observed in terms of menu changes and vegetable inclusion within the Mid-Day Meal Program. Conclusion: The study highlights the pressing need for targeted interventions to address prevalent nutritional issues and improve the program’s impact. These findings provide valuable insights for policymakers and stakeholders to enhance the well-being of primary school children in the region through the Mid-Day Meal Program. [ABSTRACT FROM AUTHOR]
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- 2024
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18. Evaluation of Oxidative Stress and in Non-diabetic Dyslipidemic Stroke Patients attending a Tertiary Care Hospital in Eastern India.
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Ghosh, Anannya, Chatterjee, Apratim, Sinha, Sanchayan, and Mukhopadhyay, Mousumi
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REACTIVE oxygen species ,BLOOD sugar ,STROKE patients ,FREE radicals ,MALONDIALDEHYDE - Abstract
Introduction: stroke is a clinical syndrome consisting of rapidly developing clinical signs of focal or global disturbance of cerebral function. Antioxidants are the exogenous or endogenous compounds acting by scavenging reactive oxygen species or their precursors, inhibiting reactive oxygen species (ROS) formation and binding metal ions needed for catalysis of ROS generation. Our objective was to compare the lipid profile, fasting and post prandial blood sugar and the markers of lipid peroxidation (malonaldehyde and Paraoxonase1) in non-diabetic stroke patients with healthy controls and to evaluate the correlation between the lipid parameters with markers of lipid peroxidation in those patients Materials and methods: 100 diagnosed stroke patients from Neurology OPD and IPD, were compared with 100 age matched healthy controls. Estimation of lipid profile parameters and fasting and post prandial blood sugar were done by Autoanalyzer using standardized kits. Estimation of serum malonaldehyde was done by based on the principle of utilization of Thiobarbituric acid. Serum Paraoxonase1 activity was estimated using paranitrophenylacetate substrate Result: among the lipid profile parameters, HDL was significantly lower (p<0.001) and LDL was significantly higher among stroke patients. Serum Malonaldehyde level was significantly increased and PON1 activity were significantly decreased in stroke patients in comparison to healthy individuals. Significant positive correlation between HDL and PON1 and negative correlation between LDL and PON1 were found Conclusion: low level of PON1 activity and increased level of malonaldehyde was found in stroke patients indicating imbalance between free radical generation and its scavenging action [ABSTRACT FROM AUTHOR]
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- 2024
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19. Withaferin A Ameliorated the Bone Marrow Fat Content in Obese Male Mice by Favoring Osteogenesis in Bone Marrow Mesenchymal Stem Cells and Preserving the Bone Mineral Density.
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Tripathi, Ashish Kumar, Sardar, Anirban, Rai, Nikhil, Rai, Divya, Girme, Aboli, Sinha, Shradha, Chutani, Kunal, Hingorani, Lal, Mishra, Prabhat Ranjan, and Trivedi, Ritu
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- 2024
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20. Wetting Kinetics-Controlled Interplay between Nanoparticles and Polymer Domains in Multiphase Polymer Blends.
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Zhang, Jing, Wu, Guohua, Huang, Shuiqing, Sang, Minghui, Wang, Hengti, Ye, Lijun, Ray, Suprakas Sinha, and Li, Yongjin
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- 2024
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21. Circulating Tumor DNA Assay Detects Merkel Cell Carcinoma Recurrence, Disease Progression, and Minimal Residual Disease: Surveillance and Prognostic Implications.
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Akaike, Tomoko, Thakuria, Manisha, Silk, Ann W., Hippe, Daniel S., Park, Song Youn, So, Naomi A., Maloney, Nolan J., Gunnell, Lindsay, Eschholz, Alec, Kim, Emily Y., Sinha, Sumi, Hall, Evan Thomas, Bhatia, Shailender, Reddy, Sunil, Rodriguez, Angel Augusto, Aleshin, Alexey, Choi, Jacob S., Tsai, Kenneth Y., Yom, Sue S., and Yu, Siegrid S.
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- 2024
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22. Clinical Management of Hospitalized Patients With High-Consequence Infectious Diseases in England.
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Alonso, Alejandra, Cohen, Jonathan, Cole, Joby, Emonts, Marieke, Karunaharan, Natasha, Meadows, Chris, O'Hara, Geraldine, Owens, Stephen, Payne, Brendan, Porter, David, Ratcliffe, Libuse, Riordan, Andrew, Schmid, Matthias Ludwig, Sinha, Ruchi, Tunbridge, Anne, Whittaker, Elizabeth, Beadsworth, Mike, and Dunning, Jake
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Infectious disease physicians in England have been diagnosing and managing occasional cases of viral hemorrhagic fever since 1971, including the United Kingdom's first case of Ebola virus disease in 1976. Specialist isolation facilities to provide safe and effective care have been present since that time. Following the emergence of Middle East respiratory syndrome (MERS) in 2012, and the avian influenza A (H7N9) outbreak in 2013, and the 2014-2016 Ebola virus disease outbreak in West Africa, clinical and public health preparedness and response pathways in England have been strengthened for these types of diseases, now called high-consequence infectious diseases (HCIDs). The HCID program, led by NHS England and Public Health England between 2016 and 2018, helped to deliver these enhancements, which have since been used on multiple occasions for new UK cases and outbreaks of MERS, mpox, avian influenza, and Lassa fever. Additionally, HCID pathways were activated for COVID-19 during the first 3 months of 2020, before the pandemic had been declared and little was known about COVID-19 but HCID status had been assigned temporarily to COVID-19 as a precaution. The HCID program also led to the commissioning of a network of new airborne HCID treatment centers in England, to supplement the existing network of contact HCID treatment centers, which includes the United Kingdom's only 2 high-level isolation units. In this case study, the authors describe the airborne and contact HCID treatment center networks in England, including their formation and structures, their approach to safe and effective clinical management of patients with HCIDs in the United Kingdom, and challenges they may face going forward. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Machine Learning--Driven Analysis of Individualized Treatment Effects Comparing Buprenorphine and Naltrexone in Opioid Use Disorder Relapse Prevention.
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Afshar, Majid, Linck, Emma J. Graham, Spicer, Alexandra B., Rotrosen, John, Salisbury-Afshar, Elizabeth M., Sinha, Pratik, Semler, Matthew W., and Churpek, Matthew M.
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A trial comparing extended-release naltrexone and sublingual buprenorphine-naloxone demonstrated higher relapse rates in individuals randomized to extended-release naltrexone. The effectiveness of treatment might vary based on patient characteristics. We hypothesized that causal machine learning would identify individualized treatment effects for each medication. Methods: This is a secondary analysis of a multicenter randomized trial that compared the effectiveness of extended-release naltrexone versus buprenorphine-naloxone for preventing relapse of opioid misuse. Three machine learning models were derived using all trial participants with 50% randomly selected for training (n = 285) and the remaining 50% for validation. Individualized treatment effect was measured by the Qini value and c-for-benefit, with the absence of relapse denoting treatment success. Patients were grouped into quartiles by predicted individualized treatment effect to examine differences in characteristics and the observed treatment effects. Results: The best-performing model had a Qini value of 4.45 (95% confidence interval, 1.02--7.83) and a c-for-benefit of 0.63 (95% confidence interval, 0.53--0.68). The quartile most likely to benefit from buprenorphine-naloxone had a 35% absolute benefit from this treatment, and at study entry, they had a high median opioid withdrawal score (P < 0.001), used cocaine on more days over the prior 30 days than other quartiles (P < 0.001), and had highest proportions with alcohol and cocaine use disorder (P ≤ 0.02). Quartile 4 individuals were predicted to be most likely to benefit from extended-release naltrexone, with the greatest proportion having heroin drug preference (P = 0.02) and all experiencing homelessness (P < 0.001). Conclusions: Causal machine learning identified differing individualized treatment effects between medications based on characteristics associated with preventing relapse. [ABSTRACT FROM AUTHOR]
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- 2024
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24. Immunoprevention Strategies for Colorectal Cancer in Lynch Syndrome Carriers.
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Bowen, Charles M., Sinha, Krishna M., and Vilar, Eduardo
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- 2024
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25. Estimation of Crustal Tilting from Petrotectonic Interpretation of Mesozone Granitoid and its Marginal Parts, Eastern Dharwar Craton, India.
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Goswami, Sukanta, Bhagat, Sangeeta, Pande, Dheeraj, Choudhury, D. K., Saravanan, B., and Sinha, D. K.
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- 2024
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26. Vogt striae: Demystified.
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Sharma, Vijay K., Sinha, Rajesh, Bandopadhyay, S., Rao, B.V., Sati, Alok, Rana, Vipin, Sharma, Neeraj, and Patra, V.K.
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CORNEAL transplantation ,VISUAL acuity ,CORNEA ,THICKNESS measurement ,SCARS - Abstract
To study the correlation of different variables of Vogt striae to other attributes of keratoconus and to suggest a new grading system for Vogt striae to exactly represent the configuration and extent in each individual keratoconic cornea. The study was an observational and data review study. A total of 386 eyes of 207 keratoconus patients were screened from February 2016 to August 2018. Patients with prior history of collagen cross linking were excluded from the study as measurement of corneal thickness is less reliable for many months after collagen cross linking, and patients may have superficial corneal striae and scarring after collagen cross linking. Patients with history or clinical features suggestive of corneal hydrops or who had undergone lamellar or full thickness corneal transplants and intracorneal ring segments were also excluded from the study. Of total 52 eyes with Vogt striae, 31 eyes (59.6%) had vertical orientation, 3 (5.8%) had horizontal, 11 (21.2%) had oblique while 7 eyes (13.5%) had mixed orientation of Vogt striae. Mean uncorrected distance visual acuity (UCVA) in the vertical group was 0.76 logMAR, horizontal group was 0.80 logMAR, oblique group was 0.65 logMAR, and mixed group was 1.17 logMAR units. Corneal scarring was present in 15 eyes (28.8%) and absent in 37 (71.2%) eyes with Vogt striae. In the mixed Vogt striae group, 85.7% eyes (6 eyes of 7) had corneal scarring, while 16.1% in vertical group (5 eyes of 31), and 27.3% in oblique group (3 of 11) had corneal scarring. Based on three attributes of Vogt striae, that is orientation, number, and corneal scarring, a new grading for Vogt striae was also suggested. This is the first study to report the presence of mixed Vogt striae (combination of horizontal and/or vertical and/or oblique Vogt striae in a single cornea) in cases of keratoconus. For the first time, oblique Vogt striae have been described, and clear limits have been set to call it horizontal, oblique, or vertical striae. A new grading for Vogt striae is also suggested. [ABSTRACT FROM AUTHOR]
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- 2024
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27. Case Report and Review of the Literature: Ischemic Stroke in Dengue Virus Infection.
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Singh, Jitendra, Sinha, Anshika, Dinkar, Anju, Kumar, Nilesh, and Kumar, Kailash
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- 2024
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28. US Food and Drug Administration Approval Summary: Eflornithine for High-Risk Neuroblastoma After Prior Multiagent, Multimodality Therapy.
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Duke, Elizabeth S., Bradford, Diana, Sinha, Arup K., Mishra-Kalyani, Pallavi S., Lerro, Catherine C., Rivera, Donna, Wearne, Emily, Miller, Claudia P., Leighton, John, Sabit, Hairat, Zhao, Hong, Lane, Ashley, Scepura, Barbara, Pazdur, Richard, Singh, Harpreet, Kluetz, Paul G., Donoghue, Martha, and Drezner, Nicole
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- 2024
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29. Is Agricultural Production Responsible for Environmental Degradation in India? Implications for Sustainability Based on Panel Data Analysis.
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Babu, Swati Sinha
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- 2024
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30. Prophylactic absorbable antibiotic beads for prepectoral implant-based breast reconstruction: A single institution early experience.
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Ahmed, Shahnur, Hajj, John P., VonDerHaar, R. Jason, Bamba, Ravinder, Danforth, Rachel M., Sinha, Mithun, Fisher, Carla S., Ludwig, Kandice K., Lester, Mary E., and Hassanein, Aladdin H.
- Abstract
Infection after implant-based breast reconstruction remains challenging, with infection rates up to 24%. Best clinical practice indicates prophylactic oral antibiotics are ineffective at preventing infection. Absorbable antibiotic beads have been routinely used in other surgical subspecialties such as orthopedic and vascular procedures for continuous local antibiotic delivery to the surgical site when implants are placed. Biodegradable calcium sulfate antibiotic beads have been shown to normalize incidence of infection when used prophylactically for a high-risk prepectoral patient population. The purpose of this study is to evaluate the effect of prophylactic biodegradable antibiotic beads when used non-selectively for all prepectoral immediate tissue expander (TE) reconstruction. Patients who underwent mastectomy and immediate prepectoral TE reconstruction on the same day between 2018 and 2024 were reviewed. Patients were divided into two groups: those who received antibiotic beads (Group 1) and those who did not (Group 2). Absorbable calcium-sulfate beads were reconstituted with 1 g vancomycin and 240 mg gentamicin. There were 33 patients (63 TEs) in Group 1 and 330 patients (545 TEs) in Group 2. TE loss was present in 1.5% (1/65 TEs) Group 1 compared to 9.4% (51/545 TEs) in Group 2 (p = 0.032). The mean follow-up time was 178 days (range 93–266 days). Prophylactic biodegradable antibiotic beads used during immediate tissue expander reconstruction decreased implant loss rate. There was one occurrence of SSI in the antibiotic bead group. Antibiotic beads may potentially decrease complications in immediate TE reconstruction when used non-selectively for all patients. [ABSTRACT FROM AUTHOR]
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- 2024
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31. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts
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Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, 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Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Outani, Oumaima, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Varghese, Chris, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Sayyed, Raza, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Jean de Dieu, Haragirimana, Munyaneza, Emmanuel, Ncogoza, Isaie, Alameer, Ehab, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Blanco-Colino, Ruth, Minaya Bravo, Ana Maria, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam Essa Adam, Mohammed Elmujtba, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Lohsiriwat, Varut, Charles, Shane, Isik, Arda, Leventoğlu, Sezai, Lekuya, Hervé Monka, Lule, Herman, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead-Kendall, Brittany, Breen, Kerry, Kaafarani, Haytham, Mashbari, Hassan, Bonilla Cal, Fernando, Al-Naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Adamina, Michel, Akhbari, Melika, Bhanderi, Shivam, Biccard, Bruce, Chakrabortee, Sohini, Costas-Chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, Grace James, Harelimana, Griffiths, Ewen, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk-Iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, McKay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vidya, Raghavan, Wright, Naomi, Wuraola, Funmilola, Agastra, Ervis, Thereska, Dariel, Dajti, Irida, Lucchini, Sergio Martin, Laudani, Veronica, Boccalatte, Luis, Chwat, Carina, Pedraza Salazar, Ivana Ines, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Calderón Arancibia, José Alfredo, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Pockney, Peter, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Rahman Mitul, Ashrarur, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, van Ramshorst, Gabrielle, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Sèmèvo Romaric, Lawani, Ismaïl, Cerovac, Anis, Vieira Barros, Aldo, Aguiar Júnior, Samuel, Baiocchi, Glauco, Campos, Heloisa Galvão do Amaral, Gross, Jefferson, José Fernandez Coimbra, Felipe, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Pedreira Duprat Neto, Joao, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Slavchev, Mihail, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Martin, Janet, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St-germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, MacKenzie, Shawn, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Olivos, Maricarmen, Bolivar Saenz, Dinimo, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Pedraza Alonso, Nestor Fabian, Ortiz Silva, Camilo, Perez Rivera, Carlos J-, Rodriguez, Juliana, Silva-Igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Nieto Calvache, Albaro José, Balanta-Melo, Julián, Figueroa - Casanova, Rafael, García-Montoya, Oscar-Julián, Marulanda Toro, Carlos Andres, Mendoza Arango, Maria Clara, Diaz Martinez, Eneida, Gutiérrez Perdomo, Valentina, Calvache, Jose Andres, Montenegro, Emileth, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Novysedlák, René, Rodriguez-Abreu, Julia, Lincango-Naranjo, Eddy, Abouelnagah, Galal, Shehata, Sameh, Hossam Eldin Fouad Rida, Ahmed, Hassan, Ramy A., Saad, Mahmoud M., Reda Loaloa, Mohamed, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Emile, Sameh, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Arévalo Sandoval, Danilo Alfonso, Abebe, Metasebia, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Hailu, Samuel, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Mengesha, Mengistu G, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Kauppila, Joonas H, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Zarzavadjian Le Bian, Alban, Harper, Luke, Danguy des 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Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler-Seyfried, Marie-Claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Albertsmeier, Markus, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch von, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Gutiérrez Ruiz, Alitza, Rodas, Alejandra, Portilla, Ana Lucía, Recinos, Gustavo, Aguilera-Arevalo, Maria-Lorena, Carrera, Jacqueline, Barrios Duarte, Amalia, Lowey, Megan, Barillas, Sabrina, Vaishnav, Dhaivat, Gorantlu Chowdappa, Raghunandan, Madabhavi, Irappa, Bhat, Dhananjaya, Kumar Venkatappa, Sunil, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Othiyil vayoth, Sudheer, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn. R, Nissi, Kannaiyan, Lavanya, Matai, Dr. Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M, Hameed, BM Zeeshan, L, Badareesh, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, N, Ranganath, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Rezghi Maleki, Esmaeil, Yousefzadeh Kandevani, Naser, Ikele, Hilary, McNestry, Catherine, Fleming, Christina, O’Brien, Stephen, Abd Elwahab, Sami, Davis, Niall, Javadpour, Mohsen, McDonnell, Brendan, O Connor, Clare, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Zmora, Oded, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Ayasra, Faris, Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Al-Manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’ed, Hazim, Reyad Bani Hamad, Faten, Abuleil, Amro, Abou Chaar, Mohamad K., Jimaale, Elmi Ahmed Mohamed, Abu-Mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu-Ismail, Luai, Khamees, Almu’atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Fakhradiyev, Ildar, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Khalefa mohammed, Alsnosy abdullah, Al maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa hassan abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Ben Amer, Anass, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Ben jouira, Rayet al islam, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Roslani, April Camilla, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Nashidengo, Pueya Rashid, Noltes, Milou, Steinkamp, Pieter, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Varghese, Chris, McIntosh, Nick, Haran, Cheyaanthan, Rennie, Sarah, King, Jasmin, Ha, Jeong, McGuinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Seyi-Olajide, Justina, Okunlola, Abiodun, Williams, Omolara, Adisa, Adewale, Abdur-Rahman, Lukman, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Pejkova, Sofija, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Usman Malik, Muhammad, Yaqoob, Hassan Nawaz, Cukier, Moises, Falcon Pacheco, Glenda Marina, Mas Melendez, Robinson, Paucar Urbina, Arazzelly Del Pilar, Rios Chiuyari, Jose, Otiniano Alvarado, Carlos Eduardo, Fuentes Rivera Lau, Lorena, Borda-Luque, Giuliano, Niquen-Jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Betalleluz Pallardel, Jenner, Ugarte Oscco, Regina Amparo, Mendiola, Gian, Carpio Colmenares, Yahaira Tatiana, Shiraishi Zapata, Carlos, Ortiz, Maria Rosa, Sacdalan, Marie Dione, Major, Piotr, Castro Borges, Filipe, Viveiros, Octavio, Serralheiro, Pedro, Santos-Costa, Paulo, Mendes, Filipa, Rocha Melo, Miguel, Cardoso, Paulo, Soares, Ana, Azevedo, José, Gonçalves Pereira, Rita, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida-Reis, Rui, Cunha, Miguel F., Oliveira, João, Nogueiro, Jorge, Sampaio-Alves, Mafalda, Cidade Costa, Luciana, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai-Popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Negoi, Ionut, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Bonci, Eduard-Alexandru, Dimofte, Mihail-Gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Litvin, Andrey, Pykhteev, Vadim, Raevskaya, Marianna, Efetov, Sergey, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Abddulrahman, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, AlFakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Dr Yousef, Awad, Selmy, Konate, Ibrahima, Ndong, Abdourahmane, Tendeng, Jacques, Teo, Nan Zun, Koh, Frederick, Košir, Jurij Aleš, Bele, Uros, Aqil, Sabra, Barrena López, Cristina, Sánchez Mozo, Ana, Rodriguez Infante, Antonio, Caja Vivancos, Patricia, Prieto, Mikel, Alberdi San Roman, Igor, Gomez Fernandez, Laura, Muñoz Vives, Josep Maria, Carreras-Castañer, Anna, Díaz-Feijoo, Berta, Sieira-Gil, Ramon, Turrado-Rodriguez, Victor, Sánchez López, Anna, Sánchez-Cabús, Santiago, Jimenez Toscano, Marta, Canals Sin, MªPilar, Laura, Saura García, Martin Sole, Oriol, Palazon Bellver, Pedro, Pérez-Bertólez, Sonia, Prat-Ortells, Jordi, Riba Martínez, Mireia, Rubio-Palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Alonso Mendoza, Veronica, Bescós, Coro, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Gil-Sala, Daniel, González-Suárez, Susana, Montferrer Estruch, Nuria, Porteiro Mariño, Lucia, Rodríguez-Tesouro, Ana, Rojas Portilla, Fabian, Tormos Pérez, M Pilar, Vives, Inmaculada, Garcia De Cortazar, Unai, Tudela, Kiara, Landaluce-Olavarria, Aitor, Estaire Gómez, Mercedes, Almoguera, Jorge, Ugarte-Sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Cárdenas Puiggrós, Laura, Delisau-Puig, Olga, Garcia-Adamez, Jorge, Julià Bergkvist, David, Maldonado-Marcos, Eloy, Diego García, Lucia, Roldón Golet, Marta, Soto-Darias, Iván, Rahy-Martín, Aida Cristina, Enjuto, Diego, Ramos-Luengo, Adolfo, Delgado Fernandez, Juan, Lugo Duarte, Carolina, Marquez, Lucila, Crego Vita, Diana, Dziakova, Jana, Minaya Bravo, Ana Maria, Caño Velasco, Jorge, Mateo-Sierra, Olga, Quintana-Villamandos, Begoña, Rey Valcarcel, Cristina, Rio, Javier, Román García de León, Laura, Di Martino, Marcello, Prada, Jorge, Serrano González, Javier, Losada, Manuel, Castell Gomez, Jose Tomas, Corripio-Sanchez, Ramon, Forero-Torres, Alexander, Morales-Puebla, José Manuel, Perez-Chrzanowska, Hanna, Valderrabano Gonzalez, Santiago, Yebes, Alvaro, Zapardiel, Ignacio, Diez Alonso, Manuel, Morales Palacios, Nelson, Cabañero Sánchez, Alberto, Sánchez Fernández, Fátima, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Corella, Fernando, Ripollés-Melchor, Javier, Sanz-Gonzalez, Rosa, Alcaraz Fuentes, Marta, Fernández Martín, Maria Teresa, Calvo Espino, Pablo, Carrasco Prats, Milagros, Fernández-López, Antonio-José, García Escudero, Damián, Garcia Soria, Vanesa, Martínez Alonso, Jesús Aarón, Ruiz-Marín, Miguel, Gómez Pérez, Beatriz, Moya-Angeler, Joaquin, Fernández Martínez, Daniel, Llaquet Bayo, Heura, Colás-Ruiz, Enrique, Bella Romera, Susana, Ruiz Velasquez, Enrique Jose, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González-Gimeno, Maria Jose, Ortega Vázquez, Irene, Perez Ferrer, Antonio, Martín-Láez, Rubén, Moreno Suarez, Marcelo, Freiria Eiras, Miguel Angel, Ramallo-Solís, Irene, Gomez-Rosado, Juan-Carlos, Oliver Guillen, Jose Ramon, Achalandabaso Boira, Mar, Catalá Bauset, Juan Carlos, Domenech, Julio, Badenes, Rafael, Bernal-Sprekelsen, Juan Carlos, Sancho-Muriel, Jorge, De Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, Jayarajah, Umesh, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Wickramasinghe, Dakshitha, Weeraddana, Prabuth dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Gialamas, Eleftherios, Sauvain, Marc-Olivier, Ghazal, Ahmad, Al-Sabbagh, Yusra, Alhassoun, Turki, Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Isik, Arda, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Lekuya, Hervé Monka, Kiweewa, Ronald, Lule, Herman, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Alshryda, Sattar, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Alsaadi, Hayder, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Kamarajah, Sivesh K, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Stewart, Grant D., Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Abbott, Tom, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, Edwards, John, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, Incorvia, Joseph, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Kaafarani, Haytham, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Rice, Henry E., Kaups, Krista, 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Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, Calderón Arancibia, José Alfredo, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Pacilli, Maurizio, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Gourlay, Ralph, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Putnis, Soni, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, 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Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, Yanowsky-Reyes, Guillermo, Camacho Gomez, Aldo, Cueva-Martinez, Esteban, Durán Anguiano, Oscar, García Castillo, Miguel, Gonzalez Ojeda, Alejandro, González-García de Rojas, Erick Alonso, Guzman Barba, Jose Aldo, Ibarrola Peña, Juan Carlos, Íñiguez Martínez, César, Llamas- Macias, Francisco Javier, Ambriz Gonzalez, Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndayishyigikiye, Marcel Didier, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Noltes, Milou, Steinkamp, Pieter, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Teague, Rebecca, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Ha, Jeong, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Olaogun, Julius, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, Tolani, Musliu Adetola, Filipce, Venko, Rendevski, Vladimir, Shuntov, Blagoj, Todorovic, Lazar, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Asha, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Zainab, Al Farsi, Maather, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Riyami, Nihal, Al shaibi, Maha, Al-Mujaini, Abdullah, AlBusaidi, Hanadi, Alwashahi, Mohammed, Alzadjali, Adil, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Laghari, Farman Ali, Manjunatha, attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Naiya, Hafsa Ismail Ibrahim, Pillai, Silja, Rahim, Ferdous, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Sultan, Rizwan, Syed, Danish, Ur Rehman, Ishtiaq, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha yurf, Haider Bangash, Ali, Ahmed, Arooj, Ansar, Mehwish, Arslan, Muhammad, Ashraf, Sumaira, Irshad, Abeer, Khan, Farheen, Shami, Dr Ali, Ul Haq, M Burhan, Waqar, Shahzad Hussain, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhund, Ramsha, Chishti, Uzma, Haroon, Waqqas, Kassam, Nausheen, Kazmi, Abbas, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Kerawala, Asad Ali, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Rai, Lajpat, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Ayub, Bushra, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Sayyed, Raza, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Arif, Hafiz Muhammad, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Raana, Dr. Gul e, Qadir, Muhammad Ghulam, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Farooq, Umer, Ahmad, Siddique, Faizi, Fouzia, Khan, Hamza, Mabood, Waleed, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, Ruqyyah, Shaheen, Aneela, Ahmed, Faryal, Amjid, Zarafshan, Ishtiaq, Daniyal, Javed, Saad, Nagra, Ramisha Naseer, Saleem, Maleeha, Saleem, Bushra, Shabbir, Raja Khalid, Yaqoob, Eesha, Shaheen, Azka, Awad, Hadeel, Wafi, Dalia, Al-Slaibi, Ibrahim, I. A. 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Charles, Rossano, Ayane, Trust, Marc, Bigelow, Benjamin, Jain, Amit, Yesantharao, Lekha, Zhang, Bo, Abdou, Hossam, Mazzeffi, Michael, Rock, Peter, Afshar, Salim, Carlson, Laura, Incorvia, Joseph, Kurtz, Michael, Meara, John G., Nathan, Meena, Taghinia, Amir, Williams, Vivian, Cooper, Zara, Mahvi, David, Okafor, Barbara, Roxo, Vanessa, Burks, Ciersten, Jabbour, Nicolette, Sabra, Joseph, Wason, Shaun, Dorken Gallastegi, Ander, Gebran, Anthony, McTague, Michael, Reinke, Caroline, Ross, Samuel, Alvarado, Rosalinda, Bhama, Anuradha, Govekar, Henry, Kokosis, George, Millikan, Keith, Myers, Jonathan, Pappas, Sam, Siparsky, Nicole, Tsambarlis, Peter, Quillin, Ralph, Ekrami, Elyad, Kai, Li, Decker, Cassie, Aoun, Salah, Kwon, David, Barbas, Andrew, Dotters-Katz, Sarah K., Ellett, Tressa, Flamant, Etienne, Lazarides, Alexander, Refaat, Motasem, Soderlund, Torre, Velasquez, Camilo, Arrangoiz, Rodrigo, Mijares Olivo, Maria Fernanda, Vasudevan, Vanitha, Katz, Matthew, Nguyen, Huan, Pieretti, Alberto, Roland, Christina L, Baral, Perel, Beahm, D. 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Matthew, Ruzgar, Nensi Melissa, Alqunaibit, Dalia, Liveris, Anna, McNelis, John, Goldstein, Carma, Nguyen, Anh, Rattigan, Deviney, Solar, Sara, Tsui, Grace, Gaitanidis, Apostolos, Fitzmaurice, Laura, Jutric, Zeljka, Tay Lasso, Erika Linmey, Yamamoto, Maki, Meola, Antonio, Holena, Daniel, Imran, Jonathan, Lorenzi, Cara, Huckaby, Lauren, Hamandi, Mohanad, Lanfear, Allison T., Squiers, John, Behm, Kevin, Boughey, Judy, Reisenauer, Janani, Shawki, Sherief, Wigle, Dennis, Elshabrawy, Ahmed, Mansour, Ahmed, Todd, Grace Ihsiu, Yan, Qi, Curry, Terry, Abel, Mary Kathryn, Andaya, Veronica, Boeck, Marissa, Chen, Lee-may, Compadre, Amanda, Ha, Patrick, Kratz, Johannes R, Lane, Rondall, Lee, Rex H, Ozgediz, Doruk, Varma, Madhulika, Zimel, Melissa, Escobar, Pedro, Azam, Mohammad, Hammond, Eric, Marx, William, Angel, Carol, Seegert, Sara, Stanek, Stephen, Sumra, Hibba, Fischer, Anne, Henry, Jaymie, Lottenberg, Lawrence, Kelly, John, Scott, Erin, Bonilla Cal, Fernando, Haro, Camila, Álvarez, Sofia, Carbajal, Ana Carmen, PereiraNuñez, Diego, Tarigo, Josefina, Al-saban, Rafat, Al-Eryani, Fatima, Reem, Al sanany, Ghadeer, Al-jarmozi, Buthina, Al-ameri, Saba, Al-Shehari, Mohammed, Al-surimi, Dhyia Alhuq, Alakhdury, Amira, ALhumaida, Adnan, Aljabri, Maniee, ALodine, Marwa, Alqudaimi, Basma, Alsabri, Mohammed, Alsayadi, Musaed, Atiah, Nora, Sayad, Shaima, Shukri, Amal, Zeid, Shahd, Abdullah, Nabila, Al-Garadi, Abdulrahman Faisal, Ali Al-Radhi, Ahmed M., Naji, Norhan, Al-madhrahi, Ahmed, Al-maswari, Sakhr Abdulhakeem, Al-Raimi, Ibrahim, Alshargabi, Haneen, Mkandawire, Catherine, Nkole, Theresa, Chivanga, Shelton, Dube, Handsome, Mangena, Moses, Moyo, Nkosikhona, Tshuma, Oltah, Gwini, Grace, Moyana Muguto, Vimbai, Mushawarima, Trust, Shoko, Tinashe, Siamuchembu, Maphios, Jamela, Rorisang, Machiri, Marvellous, Mushiwokufa, Willard, Chimhina, Maxwell, Chinyowa, Simbarashe, Glasbey, James, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Arnaud, Alexis P, Ayasra, Faris, Azevedo, José, 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Yow, L, Boyle, C, Brady, R, Cheekoty, P, Cheong, J, Chew, SJHL, Chow, R, Ganewatta Kankanamge, D, Mamer, L, Mohammed, B, Ng Chieng Hin, J, Renji Chungath, R, Royston, A, Sharrad, E, Sinclair, R, Tingle, S, Treherne, K, Wyatt, F, Maniarasu, VS, Moug, S, Appanna, T, Bucknall, T, Hussain, F, Owen, A, Parry, M, Parry, R, Sagua, N, Spofforth, K, Yuen, ECT, Bosley, N, Hardie, W, Moore, T, Regas, C, Abdel-Khaleq, S, Ali, N, Bashiti, H, Buxton-Hopley, R, Constantinides, M, D’Afflitto, M, Deshpande, A, Duque Golding, J, Frisira, E, Germani Batacchi, M, Gomaa, A, Hay, D, Hutchison, R, Iakovou, A, Iakovou, D, Ismail, E, Jefferson, S, Jones, L, Khouli, Y, Knowles, C, Mason, J, McCaughan, R, Moffatt, J, Morawala, A, Nadir, H, Neyroud, F, Nikookam, Y, Parmar, A, Pinto, L, Ramamoorthy, R, Richards, E, Thomson, S, Trainer, C, Valetopoulou, A, Vassiliou, A, Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Kisiel, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Atherton, R, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Pearce, L, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Davies, E, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Nair, D, Pattani, N, Plumbley-Jones, J, Pufal, K, Ramesh, P, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Jones, S, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, C, Jones, I, Lee, KS, Levene, A, Okocha, M, Olivier, J, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Lami, M, Larwood, J, Martin, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Jain, A, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Price, S, Punjabi, K, Raghunathan, A, Ramwell, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Badran, A, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Chowdhury, S, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, James, G, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O‚ÄôNeill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Chew, D, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
- Abstract
Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
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- 2024
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32. Laparoscopic-assisted neo-cervico-vaginal anastomosis and neo-vagina creation in congenital atresia: A retrospective study measuring the outcome and success.
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Agarwal, Mukta, Sinha, Shivangni, Sinha, Upasna, Sinha, Sudwita, and Simran, Simran
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Cervico-vaginal agenesis is a developmental disorder classified as a Mullerian duct anomaly. We aimed to study the surgical outcomes of vaginoplasty and laparoscopic-assisted cervical-vaginoplasty carried out using our set-up from June 2016 to December 2022. Additionally, we measured the success of our modified laparoscopy-assisted neo-cervical creation. A retrospective study. The study was conducted in a tertiary care center and included all patients who underwent vaginoplasty and neo-cervico-vaginal creation using the rail-road method. A total of 33 patients were followed-up meticulously and their outcomes were noted. The study was retrospective and largely depended on patient compliance during follow-up. Of the 33 patients, 22 underwent vaginoplasty (McIndoe technique) and 11 underwent neo-cervico-vaginoplasty (rail-road method using both open and laparoscopic methods). The most common presentation was primary amenorrhea (cyclic abdominal pain with primary amenorrhea) and urinary retention. Four patients underwent hysteroscopy-guided hematometra drainage and none underwent hysterectomy. The average vaginal length measured during the follow-up was 5.2 ± 1.90 cm. Significant symptom relief was observed. Longest follow-up duration was 4.7 years with a mean duration of 210 (180) days. Although the procedure is strenuous, postoperative results showed satisfactory outcomes in improving the quality of life of patients. With expertise in the technique, the associated comorbidity is reduced, which provides relief for the patients. [ABSTRACT FROM AUTHOR]
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- 2024
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33. An experimental investigation and predictive modeling using machine learning technique for reclamation of metal values from scrap NdFeB magnets.
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Dipali, Krishna, Ram, Ghosh, Somesh, Sahu, Sushanta Kumar, Sinha, Shivendra, and Prasad, Ranjit
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RARE earth metals ,MACHINE learning ,SCRAP metal recycling ,MAGNETIC properties ,REMANENCE - Abstract
[Display omitted] Neodymium-Iron-Boron (NdFeB) magnets are widely used in various industries due to their exceptional magnetic properties, such as high coercivity, remanence, and maximum energy product. These magnets consist of rare earth elements (REEs) viz., neodymium (Nd), praseodymium (Pr), and Dysprosium (Dy), along with other metals. With the ever increasing demand for REEs and the need to bridge the supply gap, it is crucial to develop alternative methods for their extraction. Recycling metal from scrap magnets is a promising approach to address the pressure on the supply chain and work towards sustainable development. The primary goal of this study is to generate a predictive model based on machine learning to determine the optimal conditions for metal recovery from scrap NdFeB magnets through water leaching after chloridizing roasting. Bench-scale leaching experiments were carried out to generate a dataset for statistical process optimization and machine learning analysis. The leaching kinetics of neodymium was also explored, and mixed-controlled shrinking core model was found to be most suitable, with an activation energy of 58.11 kJ/mol in the temperature range of 25– 95 °C. This study is the first to utilize a machine learning approach to analyze the potential process variables and their impact on metal recovery from calcined NdFeB magnet powder. A comparative analysis between experimental and machine learning approaches is presented to predict the optimal conditions for selective recovery of metal values from scrap NdFeB magnets. The maximum efficiency of extraction of metal ions was found to occur at a temperature of 95 °C, solid to liquid ratio of 125 g/l, and leaching duration of 60 min. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Multi-objective optimisation model and hybrid optimization algorithm for Electric Vehicle Charge Scheduling
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Mahato, Durga, Aharwal, Vikas Kumar, and Sinha, Apurba
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ABSTRACTElectric vehicles (EV) are moderately defeating more roads and replacing pollutants of classical vehicles. Due to rising EV, it is imperative to provide charging stations. However, unscheduled EVs are left because of the unavailability of adequate energy or charging slots. This paper develops an optimisation aware technique for charge scheduling in EV. The first step is the simulation of EV in the Vehicular Ad-hoc Network (VANET) model. Here, the discovery of the changing request from EVs and accessible charging stations is performed. Then, the charge scheduling algorithm is called for scheduling the EV, wherein the charge scheduling algorithm is newly modelled using Jaya-based Multi-Verse Optimizer (JMVO). The proposed JMVO is devised by combining Multi-Verse Optimiser (MVO) and Jaya optimisation algorithm. Here, a multiobjective fitness function is newly devised with certain parameters, including charging cost, user preference, remaining power and distance parameter. As per the scheduling method, the EVs are allocated to the charging station. Then, the EV charging scheduling model attributes are updated to expose the method’s efficiency. The proposed JMVO outperformed with the smallest charging cost of 62.721, smallest fitness of 0.010, highest power of 2.605J and highest user convenience of 0.769. durgamahato379@gmail.com
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- 2024
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35. Enantioselective Synthesis of Azatricycles via Post-Ugi Cyclizations
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Bhumij, Mandweep, Ambule, Mayur D., Sinha, Sagar, Prabhat, Surbhi, Kant, Ruchir, and Srivastava, Ajay Kumar
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We report a new method to create enantioenriched azatricycles using chiral α-amino acids in a two-step process after an Ugi reaction. Amino acids are great building blocks for making pure chiral molecules. Using chiral natural molecules in multicomponent reactions (MCRs) helps increase their variety by adding new chiral centers. The Ugi reaction, discovered by Ivar Karl Ugi in 1959, is a versatile MCR that helps create complex molecular structures and natural products through additional transformations called post-Ugi modifications. Designing these modifications requires selecting the right amine, acid, aldehyde/ketone, and isocyanide. Amino acids, with their primary amine and carboxylic acid groups and a pre-existing chiral center, are ideal for making diverse and selective post-Ugi modifications. Our method uses ipso-cyclization and aza-Michael cyclization with hypervalent iodine to create various azaspirotricyclic structures with high stereocontrol. This approach works well with different substrates and shows promise for further development in drug discovery.
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- 2024
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36. Construction of Elastomeric Nanobelts in a Glassy Polymer Matrix: Toward Supertoughened Nanoalloys with Significantly Depressed Yielding Behaviors
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Ye, Haosheng, Li, Aizhen, Li, Guanqiao, Li, Kang, Zhang, Jing, Wang, Dong, Ray, Suprakas Sinha, Wang, Hengti, and Li, Yongjin
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Rubber-toughened glassy polymers, researched as a prominent toolkit to fabricate high-performance plastics, are usually confronted with a great loss of tensile strength at the point of apparent yielding. Exploiting advanced plastic nanoalloys with high toughness and small stress difference (Δσ) between yielding and tensile platforms at high-strain levels is extremely being pursued yet challenging. Taking glassy poly(l-lactide) (PLLA) as an example, here, a viable and universal approach is discovered to elaborate supertoughened nanoalloys with significantly depressed yielding behaviors by virtue of elastomeric nanobelts to replace conventional rubber droplets in a glassy matrix by a simple reactive processing strategy. Stereocomplex crystal (SC)-immobilized EGMA, prepared by cocrystallization of enantiopure PDLA-/PLLA pairs respectively pregrafted onto EGMA chains, is used to toughen PLLA. Therefore, the structure of the elastomer, from droplets and shells to nanobelts in the PLLA matrix, can be achieved. Such controllable morphology allows for the corresponding nanoalloys with significantly enhanced notched impact strength (from 5.7 to 60.2 to 91.3 kJ/m2) and shortened Δσ (from 17.5 to 15.8 to 6.8 MPa). Furthermore, tricontinuous morphology integrates penetrative elastomeric nanobelts (EGMA), glassy polymers (PLLA), and SC phases, which are achieved by adjusting SC moieties. The authors demonstrate that the resulting nanoalloy integrates superior performance (toughness, heat resistance, and crystallization rate) and stress leveling-off without fully undergoing real yielding (Δσ= 1.4 MPa), surpassing most elastomer-toughened PLA alloys. The morphology development and underlying origin of the impact/deformation mechanism are elucidated. To our knowledge, this is the first time that the validity of such supertoughened glassy polymer alloys with significantly necking-suppressed deformation has been demonstrated. The versatile strategy can be further extended to arbitrary engineering plastics, including PET, PBT, and nylon, providing a paradigm in the development of advanced nanoalloys, which is quite challenging via existing industrial technologies.
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- 2024
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37. Language typology driven multi-lingual machine translation for Indian languages
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Tayal, Madhuri A., Nakhate, Sakshi, Sinha, Shiva, Ridhorkar, Sonali M., Chauhan, Reena, and Thakur, Rohit Singh
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- 2024
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38. Selective Recognition of the Dimeric NG16 Parallel G-Quadruplex Structure Using Synthetic Turn-On Red Fluorescent Protein Chromophore
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Choudhary, Nishant Kumar, Gupta, Shalini, Das, Gourav, Sahoo, Avijit, Harikrishna, S., Sinha, Surajit, and Gore, Kiran R.
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Red fluorescent protein (RFP)-based fluorescent probes that can selectively interact with specific nucleic acids are of great importance for therapeutic and bioimaging applications. Herein, we have reported the synthesis of RFP chromophores for selective recognition of G-quadruplex nucleic acids in vitro and ex vivo. We identified DFHBI-DMas a fluorescent turn-on probe that binds to the dimeric NG16 parallel quadruplex with superior selectivity and sensitivity over various parallel, antiparallel, and hybrid topologies. The binding of DFHBI-DMto NG16 exhibited excellent photophysical properties, including high binding affinity, large Stokes shift, high photostability, and quantum yield. The MD simulation study supports the 1:1 binding stoichiometry. It confirms the planar conformation of DFHBI-DM, which makes strong binding interactions with a flat quartet of NG16 compared to other antiparallel and hybrid topologies. The cell imaging and MTT assays revealed that DFHBI-DMis a biocompatible and efficient fluorescent probe for intracellular imaging of NG16. Overall, these results demonstrated that DFHBI-DMcould be an effective fluorescent G4-stabilizing agent for the dimeric NG16 parallel quadruplex, and it could be a promising candidate for further exploration of bioimaging and therapeutic applications.
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- 2024
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39. Wireless Connectivity and Localization for Advanced Air Mobility Services
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Sinha, Priyanka, Chowdhury, Md Moin Uddin, Guvenc, Ismail, Matolak, David W., and Namuduri, Kamesh
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By serving as an analog to traffic signal lights, communication signaling for drone-to-drone communications holds the key to the success of advanced air mobility (AAM) in both urban and rural settings. Deployment of AAM applications, such as air taxis and air ambulances, especially at large-scale, requires a reliable channel for a point-to-point and broadcast communication between two or more aircraft. Achieving such high reliability, in a highly mobile environment, requires communication systems designed for agility and efficiency. This article presents the foundations for establishing and maintaining a reliable communication channel among multiple aircraft in unique AAM settings. Subsequently, it presents concepts and results on wireless coverage and mobility for AAM services using cellular networks as a ground network infrastructure. Finally, we analyze the wireless localization performance at 3D AAM corridors when cellular networks are utilized, considering different corridor heights and base station densities. We highlight future research directions and open problems to improve wireless coverage and localization throughout this article.
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- 2024
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40. A multi-modal single-cell and spatial expression map of metastatic breast cancer biopsies across clinicopathological features
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Klughammer, Johanna, Abravanel, Daniel L., Segerstolpe, Åsa, Blosser, Timothy R., Goltsev, Yury, Cui, Yi, Goodwin, Daniel R., Sinha, Anubhav, Ashenberg, Orr, Slyper, Michal, Vigneau, Sébastien, Jané‐Valbuena, Judit, Alon, Shahar, Caraccio, Chiara, Chen, Judy, Cohen, Ofir, Cullen, Nicole, DelloStritto, Laura K., Dionne, Danielle, Files, Janet, Frangieh, Allison, Helvie, Karla, Hughes, Melissa E., Inga, Stephanie, Kanodia, Abhay, Lako, Ana, MacKichan, Colin, Mages, Simon, Moriel, Noa, Murray, Evan, Napolitano, Sara, Nguyen, Kyleen, Nitzan, Mor, Ortiz, Rebecca, Patel, Miraj, Pfaff, Kathleen L., Porter, Caroline B. M., Rotem, Asaf, Strauss, Sarah, Strasser, Robert, Thorner, Aaron R., Turner, Madison, Wakiro, Isaac, Waldman, Julia, Wu, Jingyi, Gómez Tejeda Zañudo, Jorge, Zhang, Diane, Lin, Nancy U., Tolaney, Sara M., Winer, Eric P., Boyden, Edward S., Chen, Fei, Nolan, Garry P., Rodig, Scott J., Zhuang, Xiaowei, Rozenblatt-Rosen, Orit, Johnson, Bruce E., Regev, Aviv, and Wagle, Nikhil
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Although metastatic disease is the leading cause of cancer-related deaths, its tumor microenvironment remains poorly characterized due to technical and biospecimen limitations. In this study, we assembled a multi-modal spatial and cellular map of 67 tumor biopsies from 60 patients with metastatic breast cancer across diverse clinicopathological features and nine anatomic sites with detailed clinical annotations. We combined single-cell or single-nucleus RNA sequencing for all biopsies with a panel of four spatial expression assays (Slide-seq, MERFISH, ExSeq and CODEX) and H&E staining of consecutive serial sections from up to 15 of these biopsies. We leveraged the coupled measurements to provide reference points for the utility and integration of different experimental techniques and used them to assess variability in cell type composition and expression as well as emerging spatial expression characteristics across clinicopathological and methodological diversity. Finally, we assessed spatial expression and co-localization features of macrophage populations, characterized three distinct spatial phenotypes of epithelial-to-mesenchymal transition and identified expression programs associated with local T cell infiltration versus exclusion, showcasing the potential of clinically relevant discovery in such maps.
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- 2024
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41. Family governance structures in family businesses: A systematic literature review and future research agenda
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Thakur, Vinod and Sinha, Sabyasachi
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ABSTRACTFamily governance as a research field has recently attracted scholarly attention. The article aims to contribute to family business literature by consolidating the extant research on family governance. Our systematic literature review comprises 52 articles on family governance in 24 peer-reviewed journals between 1993 and 2023. The findings reveal family complexity as one of the preeminent reasons to adopt family governance structures. The study further identifies that the adoption of family governance structures by family businesses results in family and business-related transformation and leads to various economic and non-economic benefits. Finally, we suggest potential avenues for conducting future research.
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- 2024
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42. Magnitude, Extent, and Burden of Substance-use Disorders in West Bengal: Findings from the National Mental Health Survey (NMHS), 2016
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Basu, Aniruddha, Jayashankar, Pavithra, Guin, Aparajita, Sarkar, Sukanto, Saha, Pradip Kumar, Misra, Raghunath, Sinha, Debasish, Neogi, Rajarshi, Saha, Soumyadeep, Benegal, Vivek, Rao, Girish N, Varghese, Mathew, and Gururaj, Gopalkrishna
- Abstract
Introduction: Substance-use disorders (SUDs) are a public health problem. The Global Adult Tobacco Survey (GATS) and National Family Health Survey (NFHS) provide evidence of high usage. Hence, the National Mental Health Survey (NMHS) WB data were analyzed to estimate the prevalence, pattern, disability burden, and service utilization of SUD.Methodology: The usual NMHS methodology was used. Four districts were selected, and thereafter, a multistage random sampling was done. The validated Bengali version of the Mini International Neuropsychiatric Interview (MINI) and other instruments like the Fagerstrom Test for Nicotine Dependence (FTND), disability, and health care utilization modules were used.Results: A total of 2,646 eligible members (age >18 years as per 2011 census) were interviewed. It was found that alcohol use as per MINI at least 3 drinks of alcohol within 3 hours on 3 or more occasions was 3.9%, and the weighted prevalence of alcohol-use disorder (AUD) and tobacco-use disorder (TUD) was 3.04% and 14%, respectively. The AUD and TUD prevalence was lower than the national prevalence, yet they were more prevalent in urban areas than in the national trend. The ratio of women to men suffering from AUD in WB (1:5) was one of the highest in the country (all India average 1:18). Also, the treatment gap of 89.2% was more than the national average.Discussion: SUDs are an important public health problem in the state of WB, which requires further research, particularly among women, comorbid psychiatric disorders, and in urban areas.
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- 2024
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43. Numerical Analysis of Effects of Vane Deflection Angle on Flow-Thermal Characteristics in a Fuel Rod Assembly
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Dhurandhar, Satish Kumar, Sinha, S. L., and Verma, Shashi Kant
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AbstractThe utilization of a grid spacer with vane is a significant component within reactor fuel channels. The presence of the vane has a notable impact on the mixing of flow and the enhancement of heat transfer within subchannels. The purpose of this work was to perform a numerical analysis of the effects of the vane deflection angle on the flow-thermal characteristics in a fuel rod assembly.In the current analysis, a square array consisting of a 5 × 5 rod bundle was utilized. The pitch-to-rod diameter ratio was set to 1.33, while the blockage ratio of the grid spacer was determined to be 0.16. A relative study was made for flow-thermal characteristics with four different vane deflection angles, such as 21 deg, 25 deg, 29 deg, and 33 deg. Analyses were made for a fluid pressure of 15.5 MPa, an inlet temperature of 583 K, and a velocity of 4.74 m/s.The present study investigated the Shear Stress Transport (SST) k-ω and Renormalization Group (RNG) k-ε turbulence models to analyze flow phenomena and thermal performance. The numerical results were validated through experimental data and also compared with correlations proposed by researchers. The analysis of the results was carried out using various methods, including the examination of data curves and streamlines, as well as vector and contour plots. The results indicate that a higher deflection angle leads to a greater reduction in temperature at the grid spacer. The swirl ratio was observed to be maximum close downstream to the grid spacer, and the persistence of the swirl ratio in the downstream can enhance the performance of departure of nucleate boiling. The vane on the grid spacer with a higher deflection angle enhances the coefficient of heat transfer remarkably close to the downstream grid spacer.
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- 2024
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44. Analysing the impact of eriosematin E from Eriosema chinenseVogel. against different diarrhoeagenic pathovars of Escherichia coliusing in silicoand in vitroapproach
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Chikhale, Rupesh V., Prasad, Rupali S., de Resende, Pedro Ernesto, Akojwar, Natasha S., Purohit, Raksha A., Gurav, Shailendra S., Sinha, Saurabh K., and Prasad, Satyendra K.
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AbstractSince diarrhoea is reportedly the third largest cause of fatality among kids, therefore it is considered to be one of the major areas of concerns among developing nations. The main causative agents of diarrhoea include Escherichia coli, Vibrio cholera,and Shigella sppwhere E. colishares the maximum contribution. The roots of the plant Eriosema chinenseVogel. (Fabaceae) are traditionally used by the native tribes of Meghalaya, India to treat diarrhoea. From previous reports, the plant and its marker eriosematin E have been reported to have antidiarrhoeal potential against pathogenic and nonpathogenic diarrhoea. Therefore, the objective of the current investigation was to use in silicostudies to determine the efficacy of eriosematin E against different diarrhoeagenic strains of E. coli. Six different pathovars of E. colii.e. enteropathogenic E. coli(EPEC), enterotoxigenic E. coli(ETEC), enterohaemorrhagic E. coli(EHEC), enteroaggregative E. coli(EAEC), uropathogenic E. coli(UPEC) and enteroinvasive E. coli(EIEC) were subjected to docking simulation studies utilizing Glide module of Schrodinger Maestro 2018-1 MM Share Version. Based on the obtained binding energy and balance between H-bonding, hydrophobic, and salt bridge interactions eriosematin E was found to be most effective against EPEC followed by EAEC and ETEC, while UPEC and EHEC were moderately affected. The molecular dynamics studies suggested a higher affinity of eriosematin E towards heat-labile enterotoxin b-pentamer from ETEC. The in vitroantibacterial studies against the universal strain S. aureus12981 and E. coli10418 revealed the effectiveness of eriosematin E showing MIC values of ≥256 µg/mL.Communicated by Ramaswamy H. Sarma
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- 2024
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45. Nodular posterior scleritis mimicking melanotic choroidal melanoma: A diagnostic dilemma
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Dubey, Amber, Barman, Manab Jyoti, Das, Dipankar, Bhattacharjee, Kasturi, and Roy, Subham Sinha
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Purpose To report a case of atypical nodular posterior scleritis mimicking as a melanotic choroidal melanoma.Methods Descriptive case report.Results A 38-year-old female presented with sudden onset diminution of vision, severe pain and redness in her right eye. She was diagnosed to have choroidal melanoma in her left eye one year ago and underwent enucleation. On examination, conjunctiva was injected in right eye with cells in anterior vitreous face (AVF). Fundus examination revealed a large pigmented choroidal mass temporal to macula with exudative retinal detachment. Systemic evaluation and multimodal imaging ruled out the possibility of a choroidal melanoma or metastasis, with a presumptive diagnosis of nodular posterior scleritis. Three cycles of intravenous methyl prednisolone (IVMP) with a tapering dose of oral corticosteroids showed drastic improvement in symptoms with resolution of choroidal mass – further confirming the diagnosis.Conclusions In cases of choroidal mass with an inflammatory component, a trial of steroids is worthwhile to prevent clinical misjudgement and devastating treatment outcomes including enucleation.
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- 2024
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46. Dynamic Risk Estimation of Adverse Events in Ambulatory LVAD Patients
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Shah, Palak, Sayer, Gabriel, Sinha, Shashank S., Kanwar, Manreet K., Cowger, Jennifer A., Pagani, Francis D., Nayak, Aditi, Mehra, Mandeep R., Cleveland, Joseph C., Psotka, Mitchell A., Singh, Ramesh, Desai, Shashank S., Lu, Qianhui, Hu, Yajing, Connolly, Allison, Kormos, Robert L., and Uriel, Nir
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Hemocompatibility-related adverse events affect patients after left ventricular assist device (LVAD) implantation but are hard to predict.
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- 2024
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47. Nonlinear time history seismic performance of a base isolated vertically irregular reinforced concrete framed buildings for the near-pulsing ground vibrations
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Akash and Sinha, Ajay Kumar
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In India, vertical irregular reinforced concrete (RC)-framed buildings are very common. These buildings, due to irregularities (IR), are believed to be susceptible to the earthquake. India is the place where earthquakes are quite common, and a base-isolated (BI) system is provided in the building to strength the building. Such buildings provide better performance during seismic activity. During the literature survey, it was found that only a few researchers investigated the performance of BI and RC framed by nonlinear time history analysis (NLTHA) to predict the seismic effect on the vertically uneven buildings under the fault types pulsing ground movements. For this end, we collected the data for the non-linear time history seismic performance of a BI and vertically uneven RC-framed buildings for the near-pulsing ground vibrations with quite little and high ratios of the peak ground acceleration (PGA) and peak ground velocity (PGV). In this study, models of G + 5 story regular building (RB), stiffness irregular building (SB), mass irregular building (MB), and vertical geometric irregular (VB) building structure were investigated for both the FB and BI systems in ETABS. For the isolation system, three properties of lead rubber bearings (LRB) have been incorporated. For the seismic performance parameters, NLTHA was performed in accordance with IS 1893(Part 1): 2016. The obtained seismic parameter findings were compared and analysed.
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- 2024
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48. Biomechanical variations in patients with flatfoot deformity: Impact of gender, age, and BMI on foot kinetics and kinematics
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Patil, Mrudula, Kulkarni, Mrudula S., Sinha, Avijan, and Ghorpade, Ratnakar R.
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Flatfoot is considered by the collapse of the foot arch, altered biomechanics and impacting functional abilities. The biomechanical gait alteration of foot kinematics and kinetics in individuals with flatfoot, based on gender, age and Body mass index (BMI) in each cohort is unclear. This study explores how gender, age, and body mass index (BMI) impact distinct foot biomechanical characteristics, including ankle joint angle (Jc°), Ground force reaction angle (GFR°), Achilles tendon force (T), Ankle joint force (Jc) and vertical ground reaction force (VGRF) during the gait stance phase, in flatfoot versus normal-foot individuals on Indian Population.
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- 2024
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49. Assessment of prevalence of sexual dysfunction in patients having lower urinary tract symptoms with benign prostatic hyperplasia and effect of various treatment modalities on sexual function
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Mishra, Jagamohan, Choudhury, Sunirmal, Sinha, Subham, Kundu, Gourab, Mondal, Partha Protim, and Bera, Malay
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Introduction: Sexual dysfunction affects a couple’s relationship and quality of life of the patient and the partner irrespective of age. In Lower urinary tract symptoms (LUTS) with benign prostatic hyperplasia (BPH), sexual dysfunction is highly prevalent. This study aims to evaluate prevalence of sexual dysfunction in patients having LUTS with BPH and effect of various treatment on it.Materials and methods: The study is hospital based prospective cross-sectional study. Total 106 patients were included in this study. Fifty-six patients underwent medical treatment and 50 patients underwent transurethral resection of prostate (TURP) according to lower urinary tract symptom score along with grades of prostate. We measured prevalence of lower urinary tract symptoms, erectile dysfunction (ED), ejaculatory dysfunction (EJD).We compared the pre and post treatment ED, EJD scores in both medical and TURP group.Result: In our study, 11 (10.4%) patients had very mild ED, 12 (11.3%) had mild ED, 54 (50.9%) had moderate ED and 23 (21.7%) had severe ED. In our study, 11 (10.4%) patients had very mild EJD, 7 (6.6%) had mild EJD, 28 (26.4%) had moderate EJD and 2 (1.9%) had severe EJD. In medical group, ED pre-treatment versus ED post treatment was statistically significant (p= 0.0046), treatment of LUTS improves ED. EJD pre-treatment versus EJD post treatment was not statistically significant (p= 0.8368), treatment of LUTS associated with deterioration of EJD. In TURP group association of ED pre-treatment versus ED post treatment was statistically significant (p= 0.0319). Post TURP patients shows improvement in ED Association of EJD pre-treatment versus EJD post-treatment was statistically significant (p= 0.03000). Post TURP EJD deteriorate.Conclusion: We concluded that the severity of sexual dysfunction correlates with severity of LUTS. Ejaculatory function deteriorates after treatment of TURP compared to medical.
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- 2024
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50. Framework for accurate estimation of freezing time and convective heat transfer coefficient for freezing of a food product in domestic refrigerator: a numerical and simulation modeling approach
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Ray, Arijit, Minz, P. S., and Sinha, Chitranayak
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Freezing time estimation is essential for quality assurance, process optimization, and innovation in a variety of industries. The total freezing time is greatly influenced by the heat transfer parameters like convective heat transfer coefficient (CHTC), which in turn affects the product’s quality characteristics. The correct calculation of CHTC, especially in domestic refrigerators, remains largely unexplored despite the development of several mathematical models for freezing time prediction. To fill this gap, this research presents a framework-driven analysis of CHTC for estimating the freezing time of frozen sweetened yoghurt in a domestic refrigerator. This research not only compares the performance of several freezing time prediction models, but also seeks to determine the optimal CHTC range for accurate freezing time forecasts, determining the most accurate freezing time prediction model and to replicate the freezing process by simulation accurately for this specific scenario. The results showed great accuracy for the determined CHTC range (RMSE, CV, MSE, MAE, MAPE and MBE values were 27.24, 0.16, 741.85, 22.4, 12.24 and 8.14 respectively) and lowest average residual (3.95 min) for the Cleland et al. model in the freezing time prediction of frozen yoghurt. The simulation analysis further backed the results by showcasing marginal temperature difference between the simulated and actual temperature (0.232–0.684 °C) of the frozen yoghurt by using the determined CHTC range. This showed the developed framework’s reliability in freezing time prediction and CHTC range determination, which will eventually help in modeling the freezing process of different food products with high accuracy.
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- 2024
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