427 research outputs found

    Superior Mesenteric Artery Syndrome in association with Abdominal Tuberculosis: An Eye Opener

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    Superior Mesenteric Artery Syndrome (SMAS) is a rare clinical entity presenting as acute or chronic upper gastrointestinal obstruction. It occurs due to compression of third part of duodenum between abdominal aorta and overlying superior mesenteric artery caused by a decrease in angle between the two vessels. Rapid loss of retroperitoneal fat, in conditions leading to severe weight loss is the main factor responsible for this disorder. Superior mesenteric artery syndrome in association with abdominal tuberculosis has not been reported earlier to the best of our knowledge. Therefore, an unknown cause (SMAS) of upper gastrointestinal obstruction in a patient of abdominal tuberculosis is being presented for the first time through this case report. An imaging diagnosis of SMAS was made on contrast enhanced CT abdomen which also confirmed the clinical suspicion of abdominal tuberculosis in the patient. The patient was managed conservatively and recovered without requiring any surgical intervention for the obstructive symptoms

    Topology-aware distributed graph processing for tightly-coupled clusters

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    Cloud 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)

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    We 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]

    Chapter-18 Musculoskeletal System

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    Neonatal and Infant Spine

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    Chapter-17 Spine

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    Chapter-06 Gall Bladder and Biliary Tract

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    The Dementia Dilemma in India: Addressing the Care Challenges with a Layered Interventional Model (LIM)

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    This 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
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