796 research outputs found
The Cassandras in Exile: A Study of the Diasporic Sensibility in the Poetry of Meena Alexander, Sujata Bhatt, Chitra Banerjee Divakaruni, Moniza Alvi and Jean Arasanayagam
No full textNot availabl
sj-pdf-2-ijt-10.1177_10915818221095489 – Supplemental Material for Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™
No full textSupplemental Material, sj-pdf-2-ijt-10.1177_10915818221095489 for Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™ by Jean G. Sathish, Siddhartha Bhatt, Jamie K. DaSilva, Declan Flynn, Stephen Jenkinson, Amit S. Kalgutkar, Maggie Liu, Balasubramanian Manickam, Jason Pinkstaff, William J. Reagan, Norimitsu Shirai, Ahmed M. Shoieb, Madhu Sirivelu, Saurabh Vispute, Allison Vitsky, Karen Walters, Todd A. Wisialowski and Lawrence W. Updyke in International Journal of Toxicology</p
sj-pdf-1-ijt-10.1177_10915818221095489 – Supplemental Material for Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™
No full textSupplemental Material, sj-pdf-1-ijt-10.1177_10915818221095489 for Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™ by Jean G. Sathish, Siddhartha Bhatt, Jamie K. DaSilva, Declan Flynn, Stephen Jenkinson, Amit S. Kalgutkar, Maggie Liu, Balasubramanian Manickam, Jason Pinkstaff, William J. Reagan, Norimitsu Shirai, Ahmed M. Shoieb, Madhu Sirivelu, Saurabh Vispute, Allison Vitsky, Karen Walters, Todd A. Wisialowski and Lawrence W. Updyke in International Journal of Toxicology</p
Development of an automated updated selvester QRS scoring system using SWT-based QRS fractionation detection and classification
No full textThe Selvester score is an effective means for estimating the extent of myocardial scar in a patient from lowcost ECG recordings. Automation of such a system is deemed to help implementing low-cost high-volume screening mechanisms of scar in the primary care. This article describes, for the first time to the best of our knowledge, an automated implementation of the updated Selvester scoring system for that purpose, where fractionated QRS morphologies and patterns are identified and classified using a novel Stationary Wavelet Transform (SWT) based fractionation detection algorithm. This stage informs the two principal steps of the updated Selvester scoring scheme - the confounder classification and the point awarding rules. The complete system is validated on 51 ECG records of patients detected with ischemic heart disease. Validation has been carried out using manually detected confounder classes and computation of the actual score by expert cardiologists as the ground truth. Our results show that as a stand-alone system it is able to classify different confounders with 94.1% accuracy whereas it exhibits 94% accuracy in computing the actual score. When coupled with our previously proposed automated ECG delineation algorithm, that provides the input ECG parameters, the overall system shows 90% accuracy in confounder classification and 92% accuracy in computing the actual score and thereby showing comparable performance to the stand-alone system proposed here, with the added advantage of complete automated analysis without any human intervention
Topology-aware distributed graph processing for tightly-coupled clusters
No full textCloud applications have burgeoned over the last few years, but they are typically written for loosely-coupled clusters such as datacenters. In this thesis we investigate how one can run cloud applications in tightly-coupled clusters and network topologies, namely super-computers. Specifically, we look at a class of distributed machine learning systems called distributed graph processing systems, and run them on NCSA Blue Waters. Partitioning the graph is key to achieving performance in distributed graph processing systems. We present new topology-aware partitioning techniques that better exploit the structure of the network topologies in supercomputers. Compared to existing work, our new Restricted Oblivious and Grid Centroid partitioning approaches produce 25-33% improvement in makespan, along with a sizable reduction in network traffic. We also discuss optimizations such as smart network buffers that further amplify the improvement. To help operators select the best graph partitioning technique, we culminate our experimental results into a decision tree.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01The student, Mayank Bhatt, accepted the attached license on 2018-04-23 at 17:13.The student, Mayank Bhatt, submitted this Thesis for approval on 2018-04-23 at 17:20.This Thesis was approved for publication on 2018-04-24 at 15:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #12435 on 2018-08-31 at 17:21:19Made available in DSpace on 2018-09-04T20:36:52Z (GMT). No. of bitstreams: 2
BHATT-THESIS-2018.pdf: 1415794 bytes, checksum: e08311d8168967b2e47baf1ef67f7fdc (MD5)
LICENSE.txt: 4209 bytes, checksum: b810a770b0873fc45062dd7e9ce83fde (MD5)
Previous issue date: 2018-04-24Embargo set by: Seth Robbins for item 107297
Lift date: 2020-09-04T20:37:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107297
Lift date: 2020-09-04T20:42:08Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107297 on 2020-09-05T09:15:32Z
Erratum: Hybrid group recommendation using modified termite colony algorithm: A context towards big data (Journal of Physical Chemistry (2018) 17:2 (1850019) DOI: 10.1142/S0219649218500193)
No full textWe would like to make the following correction to this article. The third author a±liation should be read as follows: Chintan Bhatt U. & P. U. Patel Department of Computer Engineering Charotar University of Science and Technology Changa, Gujarat 388421, India [email protected]
The Dementia Dilemma in India: Addressing the Care Challenges with a Layered Interventional Model (LIM)
No full textThis project presents a literature review focused on the growing public health challenge of dementia in India. With the aging population increasing rapidly, the burden of dementia-related care is expected to intensify in coming decades. The review examines existing research, health system gaps, and sociocultural challenges related to dementia care across urban and rural settings.
The core contribution of this work is a proposed layered interventional model designed to strengthen dementia care through a combination of community-based services, caregiver support, primary health integration, and policy-level reforms.
The goal of this project is to:
Highlight critical gaps in dementia care infrastructure and awareness
Synthesize research on existing care models and interventions
Propose a strategic, layered approach to improve dementia outcomes in India.
Author: Jessica Bhatt
Affiliation: Independent Researcher
Date: May 2025
Tags: Dementia, Care Pathway, India, Challenges, Potential Solutions, Geriatric Care, Health Systems, Literature Revie
A short glossary of inclusive language
No full text© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Craig, S. E., & Bhatt, E. A short glossary of inclusive language. Oceanography, 34(2), (2021), https://doi.org/10.5670/oceanog.2021.207.Words matter—that old adage that many of us may have heard as children,
Sticks and stones may break my bones,
but words will never hurt me,
is a harmful fallacy. In reality, the language we use has tremendous power to alienate, exclude, deride, humiliate, and wound
Mapping and Visualizing Research of COVID-19 with Immunology: A Bibliometric Study
No full textThis paper aims to demonstrate the World’s scientific contribution to COVID-19 and Immunology research for 2020–2022 and the emerging research pattern using various bibliometric parameters. The research publications were
retrieved from the SCOPUS database and analyzed using MS Excel, R Studio, and VOS Viewer software. The VOS Viewer software is mainly used for networking and visualization to understand the research pattern better. A total of 2877 documents were retrieved from SCOPUS using the search topic
COVID-19 and Immunology. The research found that DIAO B was a prolific author in COVID-19 and Immunology research, with 1247 publications. The most productive countries and institutions in this field were the USA (555 publications) and Huazhong university of science and technology (409
publications). The five hot author keywords are COVID-19, Sars-cov-2, Vaccine, Coronavirus and Antibody. The present study provides various networking map of research publications regarding the immune response
during COVID-19 infection. The results benefit researchers and practitioners in India and worldwide for understanding the pattern of research on COVID19 and identifying the potential immune response against SARS-CoV-
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