7,682 results on '"P, Karthikeyan"'
Search Results
152. Carica Papaya leaf-infused metal oxide nanocomposite: a green approach towards water treatment and antibacterial applications
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Aswini, Rangayasami, Jothimani, Kannupaiyan, Kannan, Karthik, Pothu, Ramyakrishna, Shanmugam, Paramasivam, Boddula, Rajender, Radwan, Ahmed Bahgat, Periyasami, Govindasami, Karthikeyan, Perumal, and Al-Qahtani, Noora
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- 2024
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153. Consensus genetic linkage map and QTL mapping allow to capture the genomic regions associated with agronomic traits in pearl millet
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Subbulakshmi, Kali, Karthikeyan, Adhimoolam, Murukarthick, Jayakodi, Dhasarathan, Manickam, Naveen, Ranganathan, Sathya, Murughiah, Lavanya, Balasundaram, Iyanar, Krishnamoorthy, Sivakumar, Subbarayan, Ravikesavan, Rajasekaran, Sumathi, Pichaikannu, and Senthil, Natesan
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- 2024
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154. Jumbo phages are active against extensively drug-resistant eyedrop-associated Pseudomonas aeruginosa infections.
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Cobián Güemes, Ana, Ghatbale, Pooja, Blanc, Alisha, Morgan, Chase, Garcia, Andrew, Leonard, Jesse, Huang, Lina, Kovalick, Grace, Proost, Marissa, Chiu, Megan, Kuo, Peiting, Oh, Joseph, Karthikeyan, Smruthi, Pogliano, Joe, Schooley, Robert, Pride, David, and Knight, Robin
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Pseudomonas aeruginosa ,antibiotic resistance ,extensively drug resistant ,eye drops ,jumbo phage ,Humans ,Bacteriophages ,Pseudomonas Infections ,Anti-Bacterial Agents ,Plasmids ,Pseudomonas aeruginosa ,Pseudomonas Phages - Abstract
Antibiotic-resistant bacteria present an emerging challenge to human health. Their prevalence has been increasing across the globe due in part to the liberal use of antibiotics that has pressured them to develop resistance. Those bacteria that acquire mobile genetic elements are especially concerning because those plasmids may be shared readily with other microbes that can then also become antibiotic resistant. Serious infections have recently been related to the contamination of preservative-free eyedrops with extensively drug-resistant (XDR) isolates of Pseudomonas aeruginosa, already resulting in three deaths. These drug-resistant isolates cannot be managed with most conventional antibiotics. We sought to identify alternatives to conventional antibiotics for the lysis of these XDR isolates and identified multiple bacteriophages (viruses that attack bacteria) that killed them efficiently. We found both jumbo phages (>200 kb in genome size) and non-jumbo phages that were active against these isolates, the former killing more efficiently. Jumbo phages effectively killed the three separate XDR P. aeruginosa isolates both on solid and liquid medium. Given the ongoing nature of the XDR P. aeruginosa eyedrop outbreak, the identification of phages active against them provides physicians with several novel potential alternatives for treatment.
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- 2023
155. RAB4A is a master regulator of cancer cell stemness upstream of NUMB–NOTCH signaling
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Subbulakshmi Karthikeyan, Patrick J. Casey, and Mei Wang
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Cytology ,QH573-671 - Abstract
Abstract Cancer stem cells (CSCs) are a group of specially programmed tumor cells that possess the characteristics of perpetual cell renewal, increased invasiveness, and often, drug resistance. Hence, eliminating CSCs is a major challenge for cancer treatment. Understanding the cellular programs that maintain CSCs, and identifying the critical regulators for such programs, are major undertakings in both basic and translational cancer research. Recently, we have reported that RAB4A is a major regulator of epithelial-to-mesenchymal transition (EMT) and it does so mainly through regulating the activation of RAC1 GTPase. In the current study, we have delineated a new signaling circuitry through which RAB4A transmits its control of cancer stemness. Using in vitro and in vivo studies, we show that RAB4A, as the upstream regulator, relays signal stepwise to NUMB, NOTCH1, RAC1, and then SOX2 to control the self-renewal property of multiple cancer cells of diverse tissue origins. Knockdown of NUMB, or overexpression of NICD (the active fragment NOTCH1) or SOX2, rescued the in vitro sphere-forming and in vivo tumor-forming abilities that were lost upon RAB4A knockdown. Furthermore, we discovered that the chain of control is mostly through transcriptional regulation at every step of the pathway. The discovery of the novel signaling axis of RAB4A–NUMB–NOTCH–SOX2 opens the path for further expansion of the signaling chain and for the identification of new regulators and interacting proteins important for CSC functions, which can be explored to develop new and effective therapies.
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- 2024
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156. Syndrome Sinistre: Left Brachiocephalic Vein Compression and its Neurological Manifestations
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Karthikeyan M. Arcot and Vincent S. DeOrchis
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venous outflow obstruction disorder ,brachiocephalic vein compression ,neurodegeneration ,venous congestion ,headache ,brain fog ,Medicine ,Internal medicine ,RC31-1245 ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Embryologically, the left brachiocephalic vein (LBV) originates as an anastomotic channel between the right and left anterior cardinal veins. This positions the LBV between the manubrium sterni anteriorly and the innominate artery posteriorly. This pattern of adjacency of the aorta to the LBV is unique to mammals and results from a quirk of evolution. With age, the ascending aorta unfolds, elongates and dilates. Simultaneously, there is a change in the thoracic geometry that reduces the thoracic volume primarily from disc height loss and kyphosis. These transitions progressively compress the LBV. Normally, this compression is circumvented via collateral pathways and “Blood finds a way”. However, traversing these circuitous pathways comes at a cost and can result in delayed transit times and venous congestion. While it is possible that compression of the LBV in the setting of adequate collateral channels may fail to provoke any pathologic sequelae, we propose a phenomenon in which such compression in the setting of inadequate collateral circulation may lead to a state of pathologic venous congestion. This anatomic anomaly and its associated clinical features, if identified, can offer a new avenue for treatment options for some of the hitherto unexplained neurologic disorders.
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- 2024
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157. Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions
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Sekar Kidambi Raju, Ganesh Karthikeyan Varadarajan, Amal H. Alharbi, Subhash Kannan, Doaa Sami Khafaga, Raj Anand Sundaramoorthy, Marwa M. Eid, and S. K. Towfek
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Nanomaterial selection mechanism ,Energy harvesting schemes ,Reinforcement learning approaches ,Deep Q-network ,Fuzzy PROMETHEE ,Road traffic conditions ,Medicine ,Science - Abstract
Abstract Energy harvesters based on nanomaterials are getting more and more popular, but on their way to commercial availability, some crucial issues still need to be solved. The objective of the study is to select an appropriate nanomaterial. Using features of the Reinforcement Deep Q-Network (DQN) in conjunction with Fuzzy PROMETHEE, the proposed model, we present in this work a hybrid fuzzy approach to selecting appropriate materials for a vehicle-environmental-hazardous substance (EHS) combination that operates in roadways and under traffic conditions. The DQN is able to accumulate useful experience of operating in a dynamic traffic environment, accordingly selecting materials that deliver the highest energy output but at the same time bring consideration to factors such as durability, cost, and environmental impact. Fuzzy PROMETHEE allows the participation of human experts during the decision-making process, going beyond the quantitative data typically learned by DQN through the inclusion of qualitative preferences. Instead, this hybrid method unites the strength of individual approaches, as a result providing highly resistant and adjustable material selection to real EHS. The result of the study pointed out materials that can give high energy efficiency with reference to years of service, price, and environmental effects. The proposed model provides 95% accuracy with a computational efficiency of 300 s, and the application of hypothesis and practical testing on the chosen materials showed the high efficiency of the selected materials to harvest energy under fluctuating traffic conditions and proved the concept of a hybrid approach in True Vehicle Environmental High-risk Substance scenarios.
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- 2024
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158. Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine
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Sophia Duenas, Zachary McGee, Ishani Mhatre, Karthikeyan Mayilvahanan, Kush Ketan Patel, Habiba Abdelhalim, Atharv Jayprakash, Uzayr Wasif, Oluchi Nwankwo, William Degroat, Naveena Yanamala, Partho P. Sengupta, Daniel Fine, and Zeeshan Ahmed
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Cardiovascular disease ,Periodontitis ,Genomics ,Bioinformatics ,Precision medicine ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Periodontitis is a highly prevalent inflammatory illness that leads to the destruction of tooth supporting tissue structures and has been associated with an increased risk of cardiovascular disease (CVD). Precision medicine, an emerging branch of medical treatment, aims can further improve current traditional treatment by personalizing care based on one’s environment, genetic makeup, and lifestyle. Genomic databases have paved the way for precision medicine by elucidating the pathophysiology of complex, heritable diseases. Therefore, the investigation of novel periodontitis-linked genes associated with CVD will enhance our understanding of their linkage and related biochemical pathways for targeted therapies. In this article, we highlight possible mechanisms of actions connecting PD and CVD. Furthermore, we delve deeper into certain heritable inflammatory-associated pathways linking the two. The goal is to gather, compare, and assess high-quality scientific literature alongside genomic datasets that seek to establish a link between periodontitis and CVD. The scope is focused on the most up to date and authentic literature published within the last 10 years, indexed and available from PubMed Central, that analyzes periodontitis-associated genes linked to CVD. Based on the comparative analysis criteria, fifty-one genes associated with both periodontitis and CVD were identified and reported. The prevalence of genes associated with both CVD and periodontitis warrants investigation to assess the validity of a potential linkage between the pathophysiology of both diseases.
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- 2024
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159. Synergistic effect of zinc oxide-cinnamic acid nanoparticles for wound healing management: in vitro and zebrafish model studies
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Jehad Zuhair Tayyeb, Ajay Guru, Karthikeyan Kandaswamy, Divya Jain, Chandrakumar Manivannan, Khairiyah Binti Mat, Mohd Asif Shah, and Jesu Arockiaraj
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Cinnamic acid ,Zinc oxide nanoparticle ,Wound healing ,Nanomedicine ,Zebrafish model ,Wound infection ,Biotechnology ,TP248.13-248.65 - Abstract
Abstract Wound infections resulting from pathogen infiltration pose a significant challenge in healthcare settings and everyday life. When the skin barrier is compromised due to injuries, surgeries, or chronic conditions, pathogens such as bacteria, fungi, and viruses can enter the body, leading to infections. These infections can range from mild to severe, causing discomfort, delayed healing, and, in some cases, life-threatening complications. Zinc oxide (ZnO) nanoparticles (NPs) have been widely recognized for their antimicrobial and wound healing properties, while cinnamic acid is known for its antioxidant and anti-inflammatory activities. Based on these properties, the combination of ZnO NPs with cinnamic acid (CA) was hypothesized to have enhanced efficacy in addressing wound infections and promoting healing. This study aimed to synthesize and evaluate the potential of ZnO-CN NPs as a multifunctional agent for wound treatment. ZnO-CN NPs were synthesized and characterized using key techniques to confirm their structure and composition. The antioxidant and anti-inflammatory potential of ZnO-CN NPs was evaluated through standard in vitro assays, demonstrating strong free radical scavenging and inhibition of protein denaturation. The antimicrobial activity of the nanoparticles was tested against common wound pathogens, revealing effective inhibition at a minimal concentration. A zebrafish wound healing model was employed to assess both the safety and therapeutic efficacy of the nanoparticles, showing no toxicity at tested concentrations and facilitating faster wound closure. Additionally, pro-inflammatory cytokine gene expression was analyzed to understand the role of ZnO-CN NPs in wound healing mechanisms. In conclusion, ZnO-CN NPs demonstrate potent antioxidant, anti-inflammatory, and antimicrobial properties, making them promising candidates for wound treatment. Given their multifunctional properties and non-toxicity at tested concentrations, ZnO-CN NPs hold significant potential as a therapeutic agent for clinical wound management, warranting further investigation in human models.
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- 2024
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160. Comparative analysis of direct coupling and MPPT control in standalone PV systems for solar energy optimization to meet sustainable building energy demands
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Chandrasekharan Nataraj, G. Karthikeyan, G. Jaya Bharathi, and Shankar Duraikannan
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Medicine ,Science - Abstract
Abstract Solar energy, a prominent renewable source, has reached an installed capacity of 71.78 GW in India. This research explored the load demands of the computer center at an engineering college in Tanjore, Tamil Nadu, India. The computer center at the engineering college has an annual energy requirement of 260,552 kWh/Year. Consequently, the research focused on the planning and implementation of a standalone photovoltaic (SAPV) system, assessing it against the institution's total annual energy consumption. The performance ratio and losses of the SAPV system with both direct coupling and an MPPT charge controller was compared. This comparative analysis aimed to evaluate the efficacy of two solar photovoltaic control methods—SAPV direct coupling and Maximum Power Point Tracking control—in optimizing energy harvesting from solar panels.
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- 2024
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161. Global Practice Patterns in the Evaluation of Non-Obstructive Azoospermia: Results of a World-Wide Survey and Expert Recommendations
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Rupin Shah, Amarnath Rambhatla, Widi Atmoko, Marlon Martinez, Imad Ziouziou, Priyank Kothari, Nicholas Tadros, Nguyen Ho Vinh Phuoc, Parviz Kavoussi, Ahmed Harraz, Gianmaria Salvio, Murat Gul, Taha Hamoda, Tuncay Toprak, Ponco Birowo, Edmund Ko, Mohamed Arafa, Ramy Abou Ghayda, Vilvapathy Senguttuvan Karthikeyan, Ramadan Saleh, Giorgio Ivan Russo, Germar-Michael Pinggera, Eric Chung, Missy Savira, Giovanni M. Colpi, Wael Zohdy, Edoardo Pescatori, Hyun Jun Park, Shinichiro Fukuhara, Akira Tsujimura, Cesar Rojas-Cruz, Angelo Marino, Siu King Mak, Edouard Amar, Wael Ibrahim, Puneet Sindhwani, Naif Alhathal, Gian Maria Busetto, Manaf Al Hashimi, Ahmed El-Sakka, Asci Ramazan, Fotios Dimitriadis, Massimiliano Timpano, Davor Jezek, Baris Altay, Daniel Suslik Zylbersztejn, Michael YC Wong, Du Geon Moon, Christine Wyns, Safar Gamidov, Hamed Akhavizadegan, Alessandro Franceschelli, Kaan Aydos, Vinh Nguyen Quang, Shedeed Ashour, Adel Al Dayel, Mohamed S. Al-Marhoon, Sava Micic, Saleh Binsaleh, Alayman Hussein, Haitham Elbardisi, Taymour Mostafa, Emad Taha, Jonathan Ramsay, Athanasios Zachariou, Islam Fathy Soliman Abdelrahman, Osvaldo Rajmil, Arif Kalkanli, Juan Manuel Corral Molina, Kadir Bocu, Gede Wirya Kusuma Duarsa, Gokhan Ceker, Ege Can Serefoglu, Fahmi Bahar, Nazim Gherabi, Shinnosuke Kuroda, Abderrazak Bouzouita, Ahmet Gudeloglu, Erman Ceyhan, Mohamed Saeed Mohamed Hasan, Muhammad Ujudud Musa, Ahmad Motawi, Cho Chak-Lam, Hisanori Taniguchi, Christopher Chee Kong Ho, Jesus Fernando Solorzano Vazquez, Shingai Mutambirwa, Nur Dokuzeylul Gungor, Marion Bendayan, Carlo Giulioni, Aykut Baser, Marco Falcone, Luca Boeri, Gideon Blecher, Alireza Kheradmand, Tamilselvi Sethupathy, Ricky Adriansjah, Nima Narimani, Charalampos Konstantinidis, Tuan Thanh Nguyen, Andrian Japari, Parisa Dolati, Keerti Singh, Cevahir Ozer, Selcuk Sarikaya, Nadia Sheibak, Ndagijimana Jean Bosco, Mehmet Serkan Özkent, Sang Thanh Le, Ioannis Sokolakis, Darren Katz, Ryan Smith, Manh Nguyen Truong, Tan V. Le, Zhongwei Huang, Muslim Dogan Deger, Umut Arslan, Gokhan Calik, Giorgio Franco, Ayman Rashed, Oguzhan Kahraman, Sotiris Andreadakis, Rosadi Putra, Giancarlo Balercia, Kareim Khalafalla, Rossella Cannarella, Anh Đặng Tuấn, Amr El Meliegy, Birute Zilaitiene, Marlene Lizbeth Zamora Ramirez, Filippo Giacone, Aldo E. Calogero, Konstantinos Makarounis, Sunil Jindal, Bac Nguyen Hoai, Ravi Banthia, Marcelo Rodriguez Peña, Dharani Moorthy, Aram Adamyan, Deniz Kulaksiz, Hussein Kandil, Nikolaos Sofikitis, Ciro Salzano, Andreas Jungwirth, Surendra Reddy Banka, Tiago Cesar Mierzwa, Tahsin Turunç, Divyanu Jain, Armen Avoyan, Pietro Salacone, Ateş Kadıoğlu, Chirag Gupta, Haocheng Lin, Iman Shamohammadi, Nasser Mogharabian, Trenton Barrett, Yavuz Onur Danacıoğlu, Andrea Crafa, Salima Daoud, Vineet Malhotra, Abdulmalik Almardawi, Osama Mohamed Selim, Mohamad Moussa, Saeid Haghdani, Mesut Berkan Duran, Yannic Kunz, Mirko Preto, Elena Eugeni, Thang Nguyen, Ahmed Rashad Elshahid, Seso Sulijaya Suyono, Dyandra Parikesit, Essam Nada, Eduardo Gutiérrez Orozco, Florence Boitrelle, Nguyen Thi Minh Trang, Mounir Jamali, Raju Nair, Mikhail Ruzaev, Franco Gadda, Charalampos Thomas, Raphael Henrique Ferreira, Umit Gul, Serena Maruccia, Ajay Kanbur, Ella Kinzikeeva, Saad Abumelha, Nguyen Quang, Raghavender Kosgi, Fatih Gokalp, Mohammad Ayodhia Soebadi, Gustavo Marquesine Paul, Hesamoddin Sajadi, Deepak Gupte, Rafael F. Ambar, Emrullah Sogutdelen, Karun Singla, Ari Basurkano, Shannon Hee Kyung Kim, Mohammad Ali Sadighi Gilani, Koichi Nagao, Sakti Ronggowardhana Brodjonegoro, Andri Rezano, Mohamed Elkhouly, Rossella Mazzilli, Hasan M. A. Farsi, Hung Nguyen Ba, Hamed Alali, Dimitrios Kafetzis, Tran Quang Tien Long, Sami Alsaid, Hoang Bao Ngoc Cuong, Knigavko Oleksandr, Akhmad Mustafa, Herik Acosta, Hrishikesh Pai, Bahadır Şahin, Eko Arianto, Colin Teo, Sanjay Prakash Jayaprakash, Rinaldo Indra Rachman, Mustafa Gurkan Yenice, Omar Sefrioui, Smit Paghdar, Shivam Priyadarshi, Marko Tanic, Noor Kareem Alfatlawy, Fikri Rizaldi, Ranjit B. Vishwakarma, George Kanakis, Dinesh Thomas Cherian, Joe Lee, Raisa Galstyan, Hakan Keskin, Jana Wurzacher, Doddy Hami Seno, Bambang S. Noegroho, Ria Margiana, Qaisar Javed, Fabrizio Castiglioni, Raman Tanwar, Ana Puigvert, Coşkun Kaya, Medianto Purnomo, Chadi Yazbeck, Azwar Amir, Edson Borges, Marina Bellavia, Isaac Ardianson Deswanto, Vinod K V, Giovanni Liguori, Dang Hoang Minh, Kashif Siddiqi, Fulvio Colombo, Armand Zini, Niket Patel, Selahittin Çayan, Ula Al-Kawaz, Maged Ragab, Guadalupe Hernández Hebrard, Ivan Hoffmann, Ozan Efesoy, Barış Saylam, and Ashok Agarwal
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azoospermia ,diagnosis ,guideline ,infertility ,male ,surveys and questionnaires ,Medicine ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Purpose: Non-obstructive azoospermia (NOA) represents the persistent absence of sperm in ejaculate without obstruction, stemming from diverse disease processes. This survey explores global practices in NOA diagnosis, comparing them with guidelines and offering expert recommendations. Materials and Methods:Materials and Methods: A 56-item questionnaire survey on NOA diagnosis and management was conducted globally from July to September 2022. This paper focuses on part 1, evaluating NOA diagnosis. Data from 367 participants across 49 coun-tries were analyzed descriptively, with a Delphi process used for expert recommendations. Results:Results: Of 336 eligible responses, most participants were experienced attending physicians (70.93%). To diagnose azoosper-mia definitively, 81.7% requested two semen samples. Commonly ordered hormone tests included serum follicle-stimulating hormone (FSH) (97.0%), total testosterone (92.9%), and luteinizing hormone (86.9%). Genetic testing was requested by 66.6%, with karyotype analysis (86.2%) and Y chromosome microdeletions (88.3%) prevalent. Diagnostic testicular biopsy, distinguishing obstructive azoospermia (OA) from NOA, was not performed by 45.1%, while 34.6% did it selectively. Differ-entiation relied on physical examination (76.1%), serum hormone profiles (69.6%), and semen tests (68.1%). Expectations of finding sperm surgically were higher in men with normal FSH, larger testes, and a history of sperm in ejaculate. Conclusions:Conclusions: This expert survey, encompassing 367 participants from 49 countries, unveils congruence with recommended guidelines in NOA diagnosis. However, noteworthy disparities in practices suggest a need for evidence-based, international consensus guidelines to standardize NOA evaluation, addressing existing gaps in professional recommendations.
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- 2024
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162. Awareness and Perception about Oral Cancer among the Rural Population at Chengalpattu District, Tamil Nadu, India: A Cross-sectional Study
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S Gladwin, GR Karthikeyan, B Balaguhan, and V Sakthisri
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aetiological factors ,awareness ,mouth neoplasm ,risk factors ,Medicine - Abstract
Introduction: The prevalence of oral cancer is extremely high in India, contributing significantly to morbidity and mortality. Public awareness of oral cancer may aid in the prevention and early detection of the disease. To achieve successful prevention, it is essential to analyse the level of awareness among the rural Indian population, who often lacks access to healthcare. Aim: To assess the awareness and perception of oral cancer, including its signs, symptoms and treatment options in the rural population. Materials and Methods: This cross-sectional study was conducted in the Department of Oral and Maxillofacial Surgery, Karpaga Vinayaga Institute of Dental Sciences, Madhuranthagam, Tamil Nadu, India over a period of eight months (September 2022 to April 2023) among 350 participants who visited the Dental and Medical College, Outpatient Department (OPD) from the rural population of Chengalpattu district, Tamil Nadu, India. A pretested, self-administered questionnaire consisting of 15 questions was distributed. These questions addressed knowledge and awareness of the signs and symptoms of oral cancer, various aetiological factors, risk factors associated with tobacco use, treatment options, and the quality of life of patients after receiving treatment. Responses were collected and tabulated for data analysis. Statistical analysis was performed using the IBM Corp. Statistical Package for the Social Sciences (SPSS) software for Windows, version 22.0 (Armonk, NY). The Chi-square test with Yates correction was used to compare the associations between males and females regarding awareness and perception of oral cancer. A p-value of
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- 2024
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163. Sciatic Nerve Entrapment from Cerclage Wiring in Intramedullary Nail Fixation
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Mohsin Hussein, Ankit Bipin Shah, Bipin Ramanlal Shah, Karthikeyan Parthasarathy Iyengar, and Rajesh Botchu
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sciatic nerve ,entrapment ,cerclage wiring ,femoral neck fracture ,intramedullary nail ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Cerclage wiring may be used to optimize the stability of intramedullary nail or plate fixations in comminuted proximal femoral fractures, periprosthetic fractures, and other selected cases. In this article, we presented a novel case of iatrogenic sciatic nerve entrapment from cerclage wiring used to supplement intramedullary nail fixation. We also illustrate and highlight the role of ultrasound in assessing the sciatic nerve to make a timely diagnosis.
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- 2024
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164. Synthesis and Characterization of Dy2O3@TiO2 Nanocomposites for Enhanced Photocatalytic and Electrocatalytic Applications
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Balachandran Subramanian, K. Jeeva Jothi, Mohamedazeem M. Mohideen, R. Karthikeyan, A. Santhana Krishna Kumar, Ganeshraja Ayyakannu Sundaram, K. Thirumalai, Munirah D. Albaqami, Saikh Mohammad, and M. Swaminathan
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Chemical engineering ,TP155-156 - Published
- 2024
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165. Lumbar offset distance: A simplified metric for evaluation of the lumbar spine alignment
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Kapil Shirodkar, Sai Niharika Gavvala, Sisith Ariyaratne, Nathan Jenko, Neha Nischal, Karthikeyan P. Iyengar, Jwalant Mehta, and Rajesh Botchu
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diagnostic accuracy ,lumbar alignment ,lumbar spine ,magnetic resonance imaging ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Background: A healthy lower back is essential for optimal spinal function and overall wellness. Magnetic resonance imaging (MRI) has become the gold standard in assessing lumbar spine disease. This article aims to evaluate the precision and efficacy of the lumbar offset distance (LOD) as a novel MRI parameter designed to determine the lumbar spine alignment. normally measured as we compared it to a new parameter based on length. MATERIALS AND METHODS: Supine sagittal magnetic resonance images of 101 patients who underwent lumbar spine MRI scans were analyzed. We focused on L1–L5 lumbar lordosis angle (LLA) and LOD to assess lumbar spine alignment. Diagnostic cutoff values for LOD measurements were determined, and their diagnostic accuracies were evaluated. Results: The normal LLA in our dataset was 23°–45°, and the normal LOD was 5–15 mm. Using linear regression, the range of 6–14 mm correlates to the LLA range of 20°–45°, which would define the standard lumbar offset as normal between 6 and 14 mm. Hence, lumbar hypolordosis was defined as
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- 2024
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166. The 'Mustache sign:' An ancillary radiological sign for detecting L5/S1 spondylolisthesis
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Amirul Adlan, Sisith Ariyaratne, Sandeep Velicheti, Elias Petrou, Karthikeyan P. Iyengar, Nathan Jenko, and Rajesh Botchu
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lumbar spine ,magnetic resonance imaging ,mustache sign ,radiology ,spondylolisthesis ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Grade 1 spondylolisthesis can be challenging to detect on magnetic resonance imaging (MRI), particularly for spinal surgeons and radiologists with limited experience interpreting spinal MRIs. This study aims to describe a unique sign described as a “mustache sign,” which may assist in detecting subtle Grade I spondylolisthesis on sagittal sequences on MRI of the spine. PATIENTS AND METHODS: A retrospective review of 50 lumbar spine MRI scans of patients with Grade I spondylolisthesis of L5/S1 performed over 3 years was conducted at a tertiary orthopedic spinal center in the United Kingdom. The scans were assessed for the presence of the “mustache sign” and findings were independently recorded by one musculoskeletal radiology registrar and one fellowship trained musculoskeletal radiologist with over 10 years of experience. Results: There were 35 females (70%) and 15 males (30%). The patient’s mean age was 54.3 years (13–82). The “mustache sign” was present in 13 (26%) of these patients. Twelve of 13 scans (92%) positive for the sign also demonstrated pars interarticularis defects (P < 0.001, Fisher’s Exact test), compared to those without the sign. There was excellent interobserver reliability with a kappa of 1. Conclusion: The “mustache sign” on MRI spine correlates well with the presence of Grade I spondylolisthesis. This ancillary sign can complement other previously described radiological findings on sagittal MRI sequences to confirm Grade I spondylolisthesis.
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- 2024
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167. Reduction of pathological retinal neovascularization, vessel obliteration, and artery tortuosity by PEDF protein in an oxygen‐induced ischemic retinopathy rat model
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Shiying Zhao, Alexander V. Tschulakow, Subha S. Karthikeyan, Kun Wang, Stefan Kochanek, Ulrich Schraermeyer, and Sylvie Julien‐Schraermeyer
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angiogenesis ,artery tortuosity ,OIR rat model ,PEDF protein therapy ,ROP ,vessel obliteration ,Biology (General) ,QH301-705.5 - Abstract
Abstract Retinopathy of prematurity (ROP) is a severe retinal disease in premature infants characterized by pathological neovascularization, obliteration of retinal vessels and increased vessel tortuosity. Currently, there are no completely satisfactory treatments for ROP. Pigment epithelium‐derived factor (PEDF), a potent inhibitor of angiogenesis, appears late in gestation and its deficiency may be linked to development of ROP. This study investigates the preclinical efficacy of PEDF protein alone or in combination with VEGF antagonists for treating ROP. The safety of PEDF protein in the rat eye was assessed using functional in vivo measurements and histology. The efficacy of intravitreal injections (IVI) of various treatments was evaluated in a rat oxygen‐induced retinopathy (OIR) model using in vivo imaging and flatmount analyses. No functional or histological side‐effects were found in rat eyes after intravitreal PEDF protein injection. PEDF protein alone or combined with anti‐VEGF drugs significantly reduced pathological neovascularization and vessel obliteration, comparable to the effects of anti‐VEGF drugs alone. Regarding arterial tortuosity, treatment with a combination of PEDF, and VEGF antagonist was more effective than treatment with anti‐VEGF alone. IVI of PEDF protein is safe. PEDF protein alone or combined with VEGF antagonists shows similar efficacy in reducing pathological neovascularization and vessel obliteration as anti‐VEGF agents. Furthermore, only treatments involving PEDF protein, alone or with VEGF antagonists, significantly improved the quality of retinal vasculature. Thus, PEDF protein alone or combined with anti‐VEGF agents presents a promising alternative to current anti‐VEGF treatments for ROP.
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- 2024
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168. Prevalence and Morphological Variations of Prelacrimal Recess in Maxillary Sinus - A Retrospective CBCT Study
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Anitha Palanisamy, Bakyalakshmi Karthikeyan, and Benazir Najmutheen
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cbct ,endoscopic sinus surgery ,maxillary sinus ,nasolacrimal duct ,prelacrimal recess ,Dentistry ,RK1-715 ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Background: The pathology of the maxillary sinus (MS) can be treated using the prelacrimal recess approach, an intranasal method for accessing the MS. This approach exhibits significant individual variations in its prevalence and varying widths. Aim: To determine the occurrence of the prelacrimal recess (PLR) in the MS and explore its morphological variations. Methods: A retrospective analysis was performed on 225 cone beam computed tomography scans obtained from the department’s archives. The patients ranged in age from 18 to 78. Statistical analysis were conducted to evaluate the frequency of PLR occurrence in the MS. Data from both sides were compared between males and females. Results: The analysis of the data revealed that PLR was present in 84.9% of patients with MS. Each patient exhibited asymmetry between the left and right sides. Although PLR was less likely to occur in women, the difference was not statistically significant. Conclusion: The anatomical variations of the PLR in individuals should be considered prior to procedures to prevent complications.
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- 2024
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169. FGFR2-fusions define a clinically actionable molecular subset of pancreatic cancer
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Leah Stein, Karthikeyan Murugesan, Julie W. Reeser, Zachary Risch, Michele R. Wing, Anoosha Paruchuri, Eric Samorodnitsky, Emily L. Hoskins, Thuy Dao, Amy Smith, Dat Le, Melissa A. Babcook, Yi Seok Chang, Matthew R. Avenarius, Muhammad Imam, Aharon G. Freud, and Sameek Roychowdhury
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Genomic alterations in fibroblast growth factor receptor (FGFR) genes are present in a small number of metastatic pancreatic ductal adenocarcinomas (PDAC) and may represent an emerging subgroup of patients likely to benefit from FGFR targeted therapies. Here we present four FGFR2 fusion-positive metastatic PDAC patients who exhibited durable responses or disease control to FGFR kinase inhibitors. Utilizing our custom FGFR focused cell-free DNA assay, FGFR-Dx, we serially monitored variant allele fractions of FGFR2 fusions during FGFR inhibitor treatment and observed dynamic changes correlating with clinical responses. Genomic analysis of 30,229 comprehensively profiled pancreatic cancers revealed FGFR1-3 fusions in 245 cases, an incidence of 0.81%. FGFR fusions were generally mutually exclusive from other known oncogenes. Our findings provide clinical evidence for identifying and treating FGFR2 fusion-positive PDAC patients with FGFR targeted therapy.
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- 2024
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170. Anti-quorum Sensing Activity and Bioactive Components of Marine-derived Bacteria
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Mahendran Karuppusamy, Sasidharan Satheesh Kumar, Harieswaran Selvam, Karthikeyan Sangapillai, Kishore Kumar Kamachisundaram, and Brindha Kothanda Rama
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marine-derived bacteria ,anti-quorum sensing ,secondary metabolites ,biofilm and antibacterial activity ,Microbiology ,QR1-502 - Abstract
Understanding and harnessing quorum sensing activity and identifying bioactive substances produced by marine-derived bacteria are essential for exploring their potential applications in various fields, including biotechnology, pharmaceuticals, and environmental management. This research aims to investigate the quorum-sensing activities employed by these bacteria and to characterize the bioactive compounds they produce, to unlock their therapeutic, industrial, and ecological potentials. This study focuses on screening, isolation and characterization of marine bacteria from Thoothukudi Harbour Beach, India, and potential antibacterial and anti-quorum sensing activities of their respective spent media against biofilm forming pathogens. Three soil samples were collected and processed for bacterial isolation. Seventeen different bacterial isolates were obtained and identified after prior culture. Antibacterial activity was evaluated against four pathogenic bacteria, with some isolates demonstrating significant inhibition. Additionally, biofilm inhibition assays were conducted, revealing the ability of certain isolates to inhibit the formation of biofilms. The secondary metabolites present in the ethyl acetate fraction of I.B 6 isolate exhibiting relatively high antibacterial and antibiofilm properties were identified by GC-MS. Anti-quorum sensing activity was also investigated using swarming assay and the MIC was determined accordingly for the ethyl acetate fraction. Hence, these marine bacteria hold for producing bioactive compounds with potential pharmaceutical and industrial applications. Finally, the positive organism is subjected to 16S rRNA sequencing for identification and was found to be Bacillus thuringiensis.
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- 2024
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171. Caesalpinia bonducella Seeds Extracts are Non-toxic to the Gut Bacteria Lactobacillus rhamnosus, as Substantiated by In vitro and In silico Studies
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Manivannan Karthikeyan, Pai Akshatha, Habeeb Shaik Mohideen, and Balasundaram Usha
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antibacterial activity ,molecular docking ,polycystic ovary syndrome ,phytocompounds ,surface layer protein ,Microbiology ,QR1-502 - Abstract
The seed kernels of Caesalpinia bonducella, a traditional medicinal plant in India, are widely used to treat various disorders, including polycystic ovary syndrome. The seed kernel possesses anti-bacterial properties against many pathogenic bacteria. However, their impact on Lactobacillus spp., a prominent gram-positive gut bacterium, has not been studied till date. The present study employed both in vitro and in silico methods to illustrate the effect of seed extract of C. bonducella against Lactobacillus rhamnosus GG. For this, disc diffusion assay was performed with 100, 500, and 1000 µg/ml of aqueous and methanolic seed extract against L. rhamnosus and E. coli, and the zone of inhibition was measured. While both the extracts inhibited the growth of E. coli, it did not show any zone of inhibition against L. rhamnosus. The latter possess surface layer proteins, SlpX and SlpA, which prevented the influx of the phytocompounds of C. bonducella, as demonstrated by molecular docking using Autodock Vina. Docking results showed that the binding of the phytocompounds to the SlpX and SlpA proteins was not in the active pockets. These findings conclude that C. bonducella seed kernel extracts are safe against the gut bacteria L. rhamnosus.
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- 2024
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172. Bi-univalent functions subordinated to a three leaf function induced by multiplicative calculus
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G. Murugusundaramoorthy, K. Vijaya, K. R. Karthikeyan, Sheza M. El-Deeb, and Jong-Suk Ro
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analytic function ,bi-univalent function ,convolution ,miller-ross function ,multiplicative calculus ,subordination ,poisson distribution ,Mathematics ,QA1-939 - Abstract
Our aim was to develop a new class of bi starlike functions by utilizing the concept of subordination, driven by the idea of multiplicative calculus, specifically multiplicative derivatives. Several restrictions were imposed, which were indeed strict constraints, because we have tried to work within the current framework or the design of analytic functions. To make the study more versatile, we redefined our new class of function with Miller-Ross Poisson distribution (MRPD), in order to increase the study's adaptability. We derived the first coefficient estimates and Fekete-Szegő inequalities for functions in this new class. To demonstrate the characteristics, we have provided a few examples.
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- 2024
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173. Scabies and Nodules in Children: An Intriguing Entity
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Vijayasankar Palaniappan and Kaliaperumal Karthikeyan
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neglected tropical disease ,nodular scabies ,postscabietic nodule ,scabies ,Dermatology ,RL1-803 ,Pediatrics ,RJ1-570 - Abstract
Nodular scabies (NS) is a relatively common variant of classical scabies whose pathogenesis is unclear. It is clinically characterized by pruritic, firm nodules most commonly involving the genitalia followed by axilla and groin region. A clinical diagnosis of NS is often straightforward. NS may persist despite the administration of antiscabicidal drugs such as permethrin and ivermectin. Topical and intralesional corticosteroids form the mainstay of treatment. Postscabietic nodule is a complication that primarily occurs in patients with previous history of scabies that had been successfully treated.
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- 2024
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174. Erythema nodosum leprosum in a patient with lepromatous leprosy: A case report
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Salkapuram Sunil Kumar, Srinivasan Sivannan, Saranya Balasubramaniyam, and Karthikeyan Elumalai
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leprosy ,type 2 reactions ,multi-drug therapy ,type 1 reactions ,risk factors ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Rationale: Lepromatous leprosy is a skin condition. Erythema nodosum leprosum (ENL) aids in its diagnosis. ENL is a type- 2 immune response, whereas lepra ENL is characterized by a hypersensitivity reaction and an exaggerated immune response through a different pathway. Patient's Concern: A 40-year-old male patient, previously diagnosed with lepromatous leprosy, displayed painful skin lesions on his extremities. Diagnosis: Type-2 lepra reaction, specifically erythema nodosum leprosum. Interventions: The patient was initially treated with 100 mg dapsone daily and then with fusidic acid, prednisone, and other MDT agents, after development of dapsone resisitance. After type- 2 lepra reaction was lessened in just two weeks, the regimen was adjusted to prednisolone (up to 2 g daily), thalidomide (300 mg daily), minocycline (1.5 g daily), ofloxacin (1 g twice daily), and pentoxifylline (400 mg three times daily) over a six-month period. Outcomes: The treatment effectively reduced the type-2 lepra reaction and improved the patient's skin lesions and overall health. Lessons: Healthcare providers should maintain a high level of awareness regarding the symptoms and medical history associated with ENL to facilitate timely diagnosis and appropriate management strategies. It is critical to tailor treatment to each patient’s symptoms and responses for successful management. Consistent monitoring of inflammatory markers and regular follow-up appointments play vital roles in preventing complications and ensuring positive outcomes for patients with ENL.
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- 2024
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175. Elucidating antibiofilm as well as photocatalytic disinfection potential of green synthesized nanosilver against multi-drug-resistant bacteria and its photodegradation ability of cationic dyes
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Bibin Mohan, Padikkamannil Abishad, Pokkittath Radhakrishnan Arya, Marita Dias, Valil Kunjukunju Vinod, Asha Karthikeyan, Sanis Juliet, Nitin Vasantrao Kurkure, Sukhadeo Baliram Barbuddhe, Deepak Bhiwa Rawool, and Jess Vergis
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Antibiofilm ,Disinfection ,Dye removal ,Nanoparticle ,Photocatalysis ,Probiotic ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Abstract Background Bioinspired nanomaterials have widely been employed as suitable alternatives for controlling biofilm and pathogens due to their distinctive physico-chemical properties. Methodology This study explored the antibiofilm as well as photocatalytic potential of silver (Ag) nanoparticles (NPs) synthesized using the cell-free supernatant of Lactobacillus acidophilus for the disinfection of multi-drug-resistant (MDR) strains of enteroaggregative E. coli (EAEC), Salmonella Typhimurium, S. Enteritidis and methicillin-resistant Staphylococcus aureus (MRSA) on exposure to LED light. In addition, the removal of toxic cationic dyes i.e., methylene blue (MB), rhodamine B (RhB) and crystal violet (CV) was explored on exposure to sunlight, LED and UV lights. Results Initially, the synthesis of AgNPs was verified using UV- Vis spectroscopy, X-ray diffraction and transmission electron microscopy. The synthesized AgNPs exhibited MIC and MBC values of 7.80 and 15.625 µg/mL, respectively. The AgNPs exhibited significant inhibition (P
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- 2024
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176. Optimization of Squeeze Casting Process Parameters on AA8011 Based Hmmcs Under NaCl Environment
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S. Senthil Kumar, G. Karthikeyan, and K. Panneer Selvam
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aa8011 ,zro2 ,si3n4 ,squeeze casting ,uts ,micro hardness ,Mining engineering. Metallurgy ,TN1-997 ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The present research computes the impact of process parameters of squeeze casting on AA8011/Si3N4/ZrO2 Hybrid Metal Matrix Composites (HMMCs). The melting temperatures (700 to 800°C), Si3N4 + ZrO2 (5 to 15 wt.%) and stirring speed (550 to 750 rpm) were selected as parameters for input. The AA8011 HMMCs were fabricated as per the combination of L9 input parameters, and they were subjected to Energy Dispersive X Ray Analysis (EDAX) and Scanning Electron Microscope (SEM) tests to compute the presence of wt.% of matrix and reinforcements and to confirm the uniform distribution of Si3N4 + ZrO2 in matrix AA8011. Besides, fabricated composites were subjected to tensile and micro hardness test after subjecting to Salt spray test (3.5% NaCl, 120 hours exposing duration and 1.2 kg/cm2 spray pressure) for computing the Ultimate Tensile Strength (UTS) and micro hardness. The Grey Relational Analysis (GRA) was employed for optimizing process parameters of squeeze casting on AA8011 based composites. The EDAX test results confirms that the increasing wt.% of silicon nitride and zirconium dioxide reinforcements enhances the presence of elements such as Si, N, Zr and O in manufactured composites. The higher dense reinforcements are uniformly distributed in the matrix AA8011 at the blend of input parameters of AA8011 composite. Based on the Taguchi approach, the medium level of melting temperature (750°C), higher level of wt.% of Si3N4 and ZrO2 reinforcements (15 wt.%) and higher level for speed of stirring (750 rpm) is the optimized combination parameters of squeeze casting for UTS and microhardness are identified. Based on the GRA technique, the influencing sequence are identified for squeeze casting process parameters are wt.% of Si3N4 + ZrO2 reinforcements, stirring speed and melting temperature for both UTS and Micro hardness. The contribution percentage of melting temperature, wt.% of reinforcements and stirring speed are 20.26%, 48.102% and 29.23% respectively. The confirmation test was done for optimized input parameters and it exhibit 56% higher UTS and 48.2% higher micro hardness of than AA8011 matrix material.
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- 2024
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177. Effect of Different Drying Methods on the Phytochemical and Antioxidant Properties of Soursop Leaves at Two Stages of Maturity
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Somwang Lekjing, Karthikeyan Venkatachalam, Narin Charoenphun, and Paramee Noonim
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Chemistry ,QD1-999 - Published
- 2024
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178. Assessment of Endothelial Dysfunction in T2DM: A Doppler Ultrasound Study Correlated with CRP Levels, Glycemic Control, and BMI
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Surya Prakash Sabapathi, Karthikeyan Selvaraj, and Amirtha Ganesh Balasubramaniyan
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endothelial dysfunction ,cardiovascular risk ,glucose regulation ,flow-mediated dilatation ,t2dm ,crp ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background and Aim: Endothelial dysfunction is a crucial precursor to atherosclerosis and cardiovascular complications, particularly prevalent in individuals with type 2 diabetes mellitus (T2DM). This study aimed to assess endothelial impairment in T2DM using flow-mediated dilatation (FMD) and to determine its correlation with body mass index (BMI), duration of diabetes, C-reactive protein (CRP) levels, and glycemic control. Materials and Methods: A total of 100 T2DM patients aged thirty to sixty participated. Doppler ultrasonography was used to measure brachial artery FMD, while blood samples were used to assess glycosylated hemoglobin A1c (HbA1c) and CRP levels. Correlations were evaluated using the Pearson correlation coefficient. Result: The duration of diabetes r value is negative 0.866, p-value less than 0.001, CRP levels as “r value” is negative 0.724, “P-value” less than 0.001, and HbA1c levels “r value” is negative 0.722, “P-value” less than 0.001 were observed to have negative relationships with FMD. Additionally, there was a significant association r value was negative 0.342, “P-value” less than 0.001 between BMI and FMD. These results were corroborated by subgroup analyses, which highlighted the intricacy of “endothelial dysfunction” in T2DM and the significance of comprehensively addressing several risk variables. This study elucidates the intricate interplay of metabolic, inflammatory, and vascular factors contributing to “endothelial dysfunction” in T2DM patients. Elevated HbA1c and CRP levels, prolonged diabetes duration, and high BMI were linked to impaired endothelial function, underscoring the importance of holistic risk factor management. Conclusion: For patients with T2DM, maintaining endothelial function and reducing cardiovascular risk require comprehensive treatment plans that target inflammation, obesity, and glycaemic management. Timely intervention and vigilant monitoring of risk factors are crucial to prevent vascular complications in high-risk populations.
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- 2024
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179. Assessment of the quality of oral squamous cell carcinoma clinical records in oral surgery with Surgical Tool for Auditing Records (STAR) scoring
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Pravallika Kakada, Karthikeyan Ramalingam, Pratibha Ramani, and Murugesan Krishnan
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STAR scoring system ,Patient record ,Healthcare audit ,Oral Surgical records ,Documentation quality ,Quality monitoring ,Dentistry ,RK1-715 - Abstract
Abstract Background The Surgical Tool for Auditing Records scoring system [STAR] focuses on surgical record auditing with promising outcomes. It offers a structured approach to evaluating the quality of surgical notes. Aims and objectives This study aimed to assess the effectiveness of the STAR in evaluating oral surgical records and identifying areas for improvement in documentation practices. Materials and methods The data was obtained from the Dental Information Archival Software (DIAS) of our institution. The sample size was determined using G*Power 3.1.9.4 software. Fifty consecutive oral surgery clinical records of oral squamous cell carcinoma patients were evaluated using STAR. Each record was reviewed for adherence to documentation standards including Initial Assessment (10 points), Follow-up Entries (8 points), Consent Documentation (7 points), Anesthesia Report (7 points), Surgical Log (9 points), and Discharge Synopsis (9 points). compiling a total STAR score (50 points). The data was tabulated in Google Sheets. The descriptive statistics with inter-observer agreement and the mean score were recorded. Results We observed that each of the 50 records received a score of 49/50 points on the STAR. Deductions were necessary in the Operative record section due to the lack of information regarding the sutures used. Conclusion To summarize, this study emphasizes the effectiveness of the STAR scoring system in evaluating the quality of oral surgical records. Identifying deficiencies, particularly in documenting operative details, can improve the completeness and accuracy of patient records. It can ultimately enhance patient care and facilitate better communication among healthcare professionals.
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- 2024
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180. Perception and Attitude among Patients Receiving Local Anaesthesia in Chengalpattu District, Tamil Nadu, India: A Questionnaire-based Cross-sectional Study
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Charumathy Rajkumar, Balaguhan Balasubramanian, Gr Karthikeyan, and V Sakthisri
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anxiety ,dental anaesthesia ,topical anaesthesia ,Medicine - Abstract
Introduction: Dental local anaesthesia serves several purposes, the most common of which is to minimise pain during dental procedures, thereby improving patient comfort and facilitating treatment. It can also have therapeutic effects, such as temporarily relieving pulpitis pain. Patients often experience anxiety before and after receiving local anaesthesia. Aim: To evaluate the perceptions and attitudes of patients receiving local anaesthesia through a self-administered questionnaire. Materials and Methods: This cross-sectional study was conducted among 398 patients, including 218 males and 180 females, between August 2022 and October 2022, who underwent dental extractions at a dental hospital in Chengalpattu district, Tamil Nadu, India. A 15-item questionnaire was administered to the patients. The questionnaire comprised three domains: the first domain included questions before the administration of local anaesthesia, the second domain included questions during the administration of local anaesthesia, and the third domain included questions after the administration of local anaesthesia. Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software. Results: Of the participants, 126 (40.20%) were between 46 and 60 years of age. Males constituted 218 (54.8%) and females constituted 180 (45.2%) of the sample. Additionally, 76.38% of the patients were unaware of the preinjection topical anaesthesia. Moreover, 70.35% of patients experienced anxiety before the administration of local anaesthesia. During the administration of local anaesthesia, 300 (75.4%) of patients reported experiencing moderate pain. Many patients exhibited physical manifestations of fear, including sweating in 92 (23.12%), light-headedness in 102 (25.63%), and palpitations after the administration of local anaesthesia in 190 (47.74%). Conclusion: Anxiety was more prevalent among patients prior to the administration of local anaesthesia. Patients were more anxious about the fear of the injection rather than the fear of the extraction itself. The outcomes of anaesthesia may be significantly improved by educating patients about dental treatment processes.
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- 2024
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181. A cross-sectional study to assess the health-related quality of life of patients on haemodialysis in Chennai
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Karthikeyan Pandiyambakkam Rajendran, Rakesh Anbazhagan, Suresh Ramalingam, Sridevi Rajamohan, and Srinivas Govindarajulu
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Quality of life ,Kidney ,EQ5D5L ,Haemodialysis ,HRQOL ,QOL ,Internal medicine ,RC31-1245 - Abstract
Abstract Background End-stage renal disease (ESRD) poses a significant burden globally and in India. However, access to treatment remains limited due to resource and cost constraints. This study aimed to evaluate the health-related quality of life (HRQoL) and economic burden among haemodialysis patients. Methods A descriptive cross-sectional study using European Quality of life, EQ-5D-5L, to measure health-related quality of life across 5 domains, i.e. mobility, self-care, usual activities, pain/discomfort and anxiety/depression, was administered, across three settings—government dialysis centre, private dialysis centre and charity based dialysis centre. The health utility values were also calculated. Also, the costs incurred in dialysis were done. Results The mean (± SD) age of the participants was 55 (± 11) years, the majority of the participants were male (n = 61), 80% (n = 64) of the participants were employed before and 40% of them had lost a job, due to the morbidity of the disease. Upon analyzing the EQ-5D-5L data, it is inferred that all five domains were the same across all three setups. The direct cost incurred on the haemodialysis ranged from INR.600 to INR.3500 per month, and the indirect cost ranged fromINR.50 to INR. 3000, which is borne by the participants, in about 70% of the cases. Chief Minister Health Insurance Scheme was found to be extremely useful, wherein only 30% (n = 25) of the study participants (n=81) were insured beneficiaries. Conclusion HRQoL was moderately impaired, and treatment posed substantial financial hardship among hemodialysis patients. Expanding access to decentralized and community-based care models could help address the challenges of regular treatment and lost productivity.
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- 2024
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182. Advancing engineered approaches for sustainable wound regeneration and repair: Harnessing the potential of green synthesized silver nanoparticles
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J. Nandhini, E. Karthikeyan, E. Elizabeth Rani, V.S. Karthikha, D. Sakthi Sanjana, H. Jeevitha, S. Rajeshkumar, Vijayan Venugopal, and A. Priyadharshan
- Subjects
Green synthesis ,Wound healing ,AgNPs ,Wound healing mechanism ,Eco-friendly synthesis ,Life ,QH501-531 - Abstract
Wound healing is a crucial biological process for tissue repair and regeneration, preventing infections and complications. There's been a growing interest in exploring sustainable wound healing strategies in recent years. This review examines the use of green-synthesized silver nanoparticles (AgNPs) in sustainable wound healing strategies. It highlights the need for innovative approaches and the challenges posed by infections. The current wound therapies and treatments, highlighting gaps in existing methodologies, are evaluated. This review provides a comprehensive overview of the current state-of-the-art in green synthesis techniques for the synthesis of AgNPs. The properties and characterization of AgNPs are elucidated, providing insights into their efficacy. The biocompatibility of AgNPs in wound healing is also explored, emphasizing safety in medical applications. Green synthesized AgNPs incorporated wound dressings are detailed, showcasing their potential in clinical settings. Challenges and future perspectives are discussed, addressing hurdles to widespread implementation. The conclusion consolidates key findings, offering a synthesized perspective on the potential of green-synthesized AgNPs in revolutionizing current knowledge on innovative approaches for sustainable wound healing practices.
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- 2024
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183. Power control of hybrid grid-connected renewable energy system using machine learning
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M. Karthikeyan, D. Manimegalai, and karthikeyan RajaGopal
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Hybrid grid-connected system ,Machine learning ,Battery storage ,Nested learning algorithm ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
This article addresses the crucial challenge of maintaining a reliable power supply in integrated electric systems that combine solar power and energy storage. It focuses on optimizing key parameters for remote photovoltaic, wind, and battery energy storage within the grid, with a primary goal of sustaining 24-hour load demand. The study introduces a comprehensive approach that integrates fuel price dynamics and battery depletion costs into the optimization model for hybrid grids. This approach seeks a delicate balance between sustainable energy usage and cost-effectiveness. To achieve this balance, the research employs genetic algorithms, a robust computational technique. These algorithms play a vital role in calculating discharge-charge cycles and assessing battery health, addressing concerns about battery longevity and performance. Additionally, the study explores a machine learning framework, specifically nested learning, to further enhance the optimization process. Nested learning allows for the development of a sophisticated target function that considers various grid operation parameters and constraints. This machine learning approach enhances the system's ability to dynamically monitor power consumption and generation. Within this machine learning framework, the TD Lambda learning algorithm takes a prominent role in identifying the optimal function. This algorithm is well-known for its efficiency, particularly in non-Markovian scenarios. Its quick convergence enhances the overall performance of the hybrid grid, ensuring efficiency in changing conditions. The research also evaluates the impact of weight factors on various aspects, including battery charging status, algorithmic decisions, and their consequences on optimal energy pricing within the hybrid grid. This comprehensive assessment deepens the understanding of how these weight factors influence grid performance and economic viability.
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- 2024
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184. Towards AI enabled automated tracking of multiple boxers
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Karthikeyan, A. S., Baghel, Vipul, Kirupakaran, Anish Monsley, Warburton, John, Srinivasan, Ranganathan, Srinivasan, Babji, and Hegde, Ravi Sadananda
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Continuous tracking of boxers across multiple training sessions helps quantify traits required for the well-known ten-point-must system. However, continuous tracking of multiple athletes across multiple training sessions remains a challenge, because it is difficult to precisely segment bout boundaries in a recorded video stream. Furthermore, re-identification of the same athlete over different period or even within the same bout remains a challenge. Difficulties are further compounded when a single fixed view video is captured in top-view. This work summarizes our progress in creating a system in an economically single fixed top-view camera. Specifically, we describe improved algorithm for bout transition detection and in-bout continuous player identification without erroneous ID updation or ID switching. From our custom collected data of ~11 hours (athlete count: 45, bouts: 189), our transition detection algorithm achieves 90% accuracy and continuous ID tracking achieves IDU=0, IDS=0.
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- 2023
185. Longer-Lived Mediators from Charged Mesons and Photons at Neutrino Experiments
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Dutta, Bhaskar, Karthikeyan, Aparajitha, and Kim, Doojin
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment - Abstract
Since many of the dark-sector particles interact with Standard Model (SM) particles in multiple ways, they can appear in experimental facilities where SM particles appear in abundance. In this study, we explore a particular class of longer-lived mediators that are produced from photons, charged mesons, neutral mesons, and $e^\pm$ that arise in proton-beam fixed-target-type neutrino experiments. This class of mediators encompasses light scalars that appear in theories like extended Higgs sectors, muon(electro)philic scalars, etc. We evaluate the sensitivities of these mediators at beam-based neutrino experiments such as the finished ArgoNeuT, ongoing MicroBooNE, SBND, ICARUS, and the upcoming DUNE experiment. We realize that scalars are more enhanced while produced from three-body decay of charged mesons, especially if they are muonphilic in nature. For scenarios that contain muonphilic scalars, these experiments can probe unexplored regions of parameter space that can explain the current discrepancy in the anomalous magnetic moment of muons. The sensitivity of electrophilic scalars at the DUNE Near Detector can explore new regions. We also show that Bethe-Heitler scattering processes can be used to probe flavor-specific lepton final states even for the mediator masses below twice the lepton mass., Comment: 19 pages, 13 figures
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- 2023
186. On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer
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Jalal, Md Asif, Parada, Pablo Peso, Zhang, Jisi, Saravanan, Karthikeyan, Ozay, Mete, Han, Myoungji, Lee, Jung In, and Jung, Seokyeong
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Electrical Engineering and Systems Science - Audio and Speech Processing ,Computer Science - Cryptography and Security ,Computer Science - Sound - Abstract
Smart devices serviced by large-scale AI models necessitates user data transfer to the cloud for inference. For speech applications, this means transferring private user information, e.g., speaker identity. Our paper proposes a privacy-enhancing framework that targets speaker identity anonymization while preserving speech recognition accuracy for our downstream task~-~Automatic Speech Recognition (ASR). The proposed framework attaches flexible gradient reversal based speaker adversarial layers to target layers within an ASR model, where speaker adversarial training anonymizes acoustic embeddings generated by the targeted layers to remove speaker identity. We propose on-device deployment by execution of initial layers of the ASR model, and transmitting anonymized embeddings to the cloud, where the rest of the model is executed while preserving privacy. Experimental results show that our method efficiently reduces speaker recognition relative accuracy by 33%, and improves ASR performance by achieving 6.2% relative Word Error Rate (WER) reduction., Comment: Proceedings of INTERSPEECH 2023
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- 2023
187. From Dragondoom to Dragonstar: Side-channel Attacks and Formally Verified Implementation of WPA3 Dragonfly Handshake
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Braga, Daniel De Almeida, Kulatova, Natalia, Sabt, Mohamed, Fouque, Pierre-Alain, and Bhargavan, Karthikeyan
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Computer Science - Cryptography and Security - Abstract
It is universally acknowledged that Wi-Fi communications are important to secure. Thus, the Wi-Fi Alliance published WPA3 in 2018 with a distinctive security feature: it leverages a Password-Authenticated Key Exchange (PAKE) protocol to protect users' passwords from offline dictionary attacks. Unfortunately, soon after its release, several attacks were reported against its implementations, in response to which the protocol was updated in a best-effort manner. In this paper, we show that the proposed mitigations are not enough, especially for a complex protocol to implement even for savvy developers. Indeed, we present **Dragondoom**, a collection of side-channel vulnerabilities of varying strength allowing attackers to recover users' passwords in widely deployed Wi-Fi daemons, such as hostap in its default settings. Our findings target both password conversion methods, namely the default probabilistic hunting-and-pecking and its newly standardized deterministic alternative based on SSWU. We successfully exploit our leakage in practice through microarchitectural mechanisms, and overcome the limited spatial resolution of Flush+Reload. Our attacks outperform previous works in terms of required measurements. Then, driven by the need to end the spiral of patch-and-hack in Dragonfly implementations, we propose **Dragonstar**, an implementation of Dragonfly leveraging a formally verified implementation of the underlying mathematical operations, thereby removing all the related leakage vector. Our implementation relies on HACL*, a formally verified crypto library guaranteeing secret-independence. We design Dragonstar, so that its integration within hostap requires minimal modifications to the existing project. Our experiments show that the performance of HACL*-based hostap is comparable to OpenSSL-based, implying that Dragonstar is both efficient and proved to be leakage-free., Comment: Accepted at 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)
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- 2023
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188. Identifiability Guarantees for Causal Disentanglement from Soft Interventions
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Zhang, Jiaqi, Squires, Chandler, Greenewald, Kristjan, Srivastava, Akash, Shanmugam, Karthikeyan, and Uhler, Caroline
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Statistics Theory ,Statistics - Methodology - Abstract
Causal disentanglement aims to uncover a representation of data using latent variables that are interrelated through a causal model. Such a representation is identifiable if the latent model that explains the data is unique. In this paper, we focus on the scenario where unpaired observational and interventional data are available, with each intervention changing the mechanism of a latent variable. When the causal variables are fully observed, statistically consistent algorithms have been developed to identify the causal model under faithfulness assumptions. We here show that identifiability can still be achieved with unobserved causal variables, given a generalized notion of faithfulness. Our results guarantee that we can recover the latent causal model up to an equivalence class and predict the effect of unseen combinations of interventions, in the limit of infinite data. We implement our causal disentanglement framework by developing an autoencoding variational Bayes algorithm and apply it to the problem of predicting combinatorial perturbation effects in genomics.
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- 2023
189. Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
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Shah, Abhin, Shanmugam, Karthikeyan, and Kocaoglu, Murat
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Computer Science - Machine Learning ,Statistics - Methodology ,Statistics - Machine Learning - Abstract
Causal effect estimation from data typically requires assumptions about the cause-effect relations either explicitly in the form of a causal graph structure within the Pearlian framework, or implicitly in terms of (conditional) independence statements between counterfactual variables within the potential outcomes framework. When the treatment variable and the outcome variable are confounded, front-door adjustment is an important special case where, given the graph, causal effect of the treatment on the target can be estimated using post-treatment variables. However, the exact formula for front-door adjustment depends on the structure of the graph, which is difficult to learn in practice. In this work, we provide testable conditional independence statements to compute the causal effect using front-door-like adjustment without knowing the graph under limited structural side information. We show that our method is applicable in scenarios where knowing the Markov equivalence class is not sufficient for causal effect estimation. We demonstrate the effectiveness of our method on a class of random graphs as well as real causal fairness benchmarks.
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- 2023
190. Optimal Best-Arm Identification in Bandits with Access to Offline Data
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Agrawal, Shubhada, Juneja, Sandeep, Shanmugam, Karthikeyan, and Suggala, Arun Sai
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Learning paradigms based purely on offline data as well as those based solely on sequential online learning have been well-studied in the literature. In this paper, we consider combining offline data with online learning, an area less studied but of obvious practical importance. We consider the stochastic $K$-armed bandit problem, where our goal is to identify the arm with the highest mean in the presence of relevant offline data, with confidence $1-\delta$. We conduct a lower bound analysis on policies that provide such $1-\delta$ probabilistic correctness guarantees. We develop algorithms that match the lower bound on sample complexity when $\delta$ is small. Our algorithms are computationally efficient with an average per-sample acquisition cost of $\tilde{O}(K)$, and rely on a careful characterization of the optimality conditions of the lower bound problem., Comment: 45 pages, 5 figures
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- 2023
191. Optimizing campus-wide COVID-19 test notifications with interpretable wastewater time-series features using machine learning models.
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Lin, Tuo, Karthikeyan, Smruthi, Satterlund, Alysson, Schooley, Robert, Knight, Rob, De Gruttola, Victor, Martin, Natasha, and Zou, Jingjing
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Humans ,COVID-19 ,Pandemics ,Time Factors ,Wastewater ,Wastewater-Based Epidemiological Monitoring ,Machine Learning - Abstract
During the COVID-19 pandemic, wastewater surveillance of the SARS CoV-2 virus has been demonstrated to be effective for population surveillance at the county level down to the building level. At the University of California, San Diego, daily high-resolution wastewater surveillance conducted at the building level is being used to identify potential undiagnosed infections and trigger notification of residents and responsive testing, but the optimal determinants for notifications are unknown. To fill this gap, we propose a pipeline for data processing and identifying features of a series of wastewater test results that can predict the presence of COVID-19 in residences associated with the test sites. Using time series of wastewater results and individual testing results during periods of routine asymptomatic testing among UCSD students from 11/2020 to 11/2021, we develop hierarchical classification/decision tree models to select the most informative wastewater features (patterns of results) which predict individual infections. We find that the best predictor of positive individual level tests in residence buildings is whether or not the wastewater samples were positive in at least 3 of the past 7 days. We also demonstrate that the tree models outperform a wide range of other statistical and machine models in predicting the individual COVID-19 infections while preserving interpretability. Results of this study have been used to refine campus-wide guidelines and email notification systems to alert residents of potential infections.
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- 2023
192. Cardiovascular Testing in the United States during the COVID-19 Pandemic: Volume Recovery and Worldwide Comparison.
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Bullock-Palmer, Renee, Chen, Marcus, DiLorenzo, Michael, Doukky, Rami, Ferencik, Maros, Geske, Jeffrey, Hage, Fadi, Hendel, Robert, Koweek, Lynne, Murthy, Venkatesh, Narula, Jagat, Rodriguez Lozano, Patricia, Shah, Nishant, Shah, Amee, Soman, Prem, Thompson, Randall, Wolinsky, David, Cohen, Yosef, Malkovskiy, Eli, Randazzo, Michael, Lopez-Mattei, Juan, Parwani, Purvi, Shetty, Mrinali, Pascual, Thomas, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew, Hirschfeld, Cole, Dorbala, Sharmila, Shaw, Leslee, Villines, Todd, Choi, Andrew, Better, Nathan, Cerci, Rodrigo, Karthikeyan, Ganesan, Vitola, João, Williams, Michelle, Al-Mallah, Mouaz, Berman, Daniel, Bernheim, Adam, Biederman, Robert, Bravo, Paco, and Budoff, Matthew
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Angiography ,COVID-19 ,CT ,CT Angiography ,Cardiac ,Cardiac Testing ,Cardiovascular Disease ,Cardiovascular Imaging ,Diagnostic Cardiovascular Procedure ,Echocardiography ,Epidemiology ,MR Imaging ,Radionuclide Studies ,SPECT ,SPECT/CT - Abstract
PURPOSE: To characterize the recovery of diagnostic cardiovascular procedure volumes in U.S. and non-U.S. facilities in the year following the initial COVID-19 outbreak. MATERIALS AND METHODS: The International Atomic Energy Agency (IAEA) coordinated a worldwide study called the IAEA Noninvasive Cardiology Protocols Study of COVID-19 2 (INCAPS COVID 2), collecting data from 669 facilities in 107 countries, including 93 facilities in 34 U.S. states, to determine the impact of the pandemic on diagnostic cardiovascular procedure volumes. Participants reported volumes for each diagnostic imaging modality used at their facility for March 2019 (baseline), April 2020, and April 2021. This secondary analysis of INCAPS COVID 2 evaluated differences in changes in procedure volume between U.S. and non-U.S. facilities and among U.S. regions. Factors associated with return to prepandemic volumes in the United States were also analyzed in a multivariable regression analysis. RESULTS: Reduction in procedure volumes in April 2020 compared with baseline was similar for U.S. and non-U.S. facilities (-66% vs -71%, P = .27). U.S. facilities reported greater return to baseline in April 2021 than did all non-U.S. facilities (4% vs -6%, P = .008), but there was no evidence of a difference when comparing U.S. facilities with non-U.S. high-income country (NUHIC) facilities (4% vs 0%, P = .18). U.S. regional differences in return to baseline were observed between the Midwest (11%), Northeast (9%), South (1%), and West (-7%, P = .03), but no studied factors were significant predictors of 2021 change from prepandemic baseline. CONCLUSION: The reductions in cardiac testing during the early pandemic have recovered within a year to prepandemic baselines in the United States and NUHICs, while procedure volumes remain depressed in lower-income countries.Keywords: SPECT, Cardiac, Epidemiology, Angiography, CT Angiography, CT, Echocardiography, SPECT/CT, MR Imaging, Radionuclide Studies, COVID-19, Cardiovascular Imaging, Diagnostic Cardiovascular Procedure, Cardiovascular Disease, Cardiac Testing Supplemental material is available for this article. © RSNA, 2023.
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- 2023
193. A Retrospective Study of Linear Focal Elastosis among Adolescents
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Vijayasankar Palaniappan, Jayapratha Selvaarasan, and Karthikeyan Kaliaperumal
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Dermatology ,RL1-803 ,Pediatrics ,RJ1-570 - Published
- 2024
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194. Non-Carathéodory analytic functions with respect to symmetric points
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Daniel Breaz, Kadhavoor R. Karthikeyan, and Elangho Umadevi
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Univalent function ,symmetrical functions ,differential subordination ,Mathematics ,QA1-939 ,Applied mathematics. Quantitative methods ,T57-57.97 - Abstract
ABSTRACTThe authors introduce new classes of analytic function with respect [Formula: see text]-symmetric points subordinate to a domain that is not Carathéodory. To use the existing infrastructure or framework, usually, the study of analytic function have been limited to a differential characterization subordinate to functions which are Carathéodory. Here, we try to obtain various interesting properties of functions which are not Carathéodory. Integral representation, interesting conditions for starlikeness and inclusion relations for functions in these classes are obtained.
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- 2024
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195. Exploring the potential therapeutic benefits of 7-methoxy coumarin for neuropathy pain: an in vivo, in vitro, and in silico approach
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Cheriyan, Binoy Varghese, Shanmugasundaram, Jaikumar, Ramakrishnan, Prakash, Ramasamy, Kavitha, Karthikeyan, R., Venkataraman, Sowmyalakshmi, Roy, Anitha, and Parthasarathy, Parameswari Royapuram
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- 2024
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196. Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine
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Duenas, Sophia, McGee, Zachary, Mhatre, Ishani, Mayilvahanan, Karthikeyan, Patel, Kush Ketan, Abdelhalim, Habiba, Jayprakash, Atharv, Wasif, Uzayr, Nwankwo, Oluchi, Degroat, William, Yanamala, Naveena, Sengupta, Partho P., Fine, Daniel, and Ahmed, Zeeshan
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- 2024
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197. Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions
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Raju, Sekar Kidambi, Varadarajan, Ganesh Karthikeyan, Alharbi, Amal H., Kannan, Subhash, Khafaga, Doaa Sami, Sundaramoorthy, Raj Anand, Eid, Marwa M., and Towfek, S. K.
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- 2024
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198. Comment on “The surgical role of C1 nerve root identification for the disconnection of the spinal dural arteriovenous fistula at the craniocervical junction: a single center restrospective experience”
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Kandaswamy, Karthikeyan and Guru, Ajay
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- 2024
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199. Synergistic effect of zinc oxide-cinnamic acid nanoparticles for wound healing management: in vitro and zebrafish model studies
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Tayyeb, Jehad Zuhair, Guru, Ajay, Kandaswamy, Karthikeyan, Jain, Divya, Manivannan, Chandrakumar, Mat, Khairiyah Binti, Shah, Mohd Asif, and Arockiaraj, Jesu
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- 2024
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200. Comparative analysis of direct coupling and MPPT control in standalone PV systems for solar energy optimization to meet sustainable building energy demands
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Nataraj, Chandrasekharan, Karthikeyan, G., Bharathi, G. Jaya, and Duraikannan, Shankar
- Published
- 2024
- Full Text
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