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7 articles for “HLA”
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Immunological and Genetic Markers of Rheumatoid Arthritis Among Women in North India: A Case-Control Study
Abstract: Background: Rheumatoid arthritis (RA) is an autoimmune disease systemically afflicting women marked by chronic inflammation around the involved joints leading to joints destruction. It has both endocrinological and immunological associations as well as genetic associations but data pertaining to women of North India is scanty.Objective: This case-control study was done to evaluate the presence and significance of major immunological and genetic markers of RA in North Indian women with the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Epitope-Based Peptide Vaccine Design Against Nuclear Protein EBNA3C of Epstein-Barr Virus: An Approach to Treat Multiple Sclerosis
Abstract: Almost 95% of the world’s population is affected by the Epstein-Barr virus (EBV); it is an oncogenic virus of herpes virus family. The nuclear protein Epstein-Barr nuclear antigens (EBNA)-3C of EBV are related to multiple sclerosis (MS) which is an inflammatory disease of the nervous system. Regardless of multiple occurrences of infections due to EBV and shortage of licensed antiviral drugs, there is not much advancement on vaccine designed for …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 62–72 Read article
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Analysis on Link Prediction Algorithm for Social Network
Abstract: AbstractThe paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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Development and Evaluation of Physical and Mechanical Properties on Talc Filled Sisal/Polyester Composites
Abstract: In recent years, research focusing on the use of natural fiber-reinforced composites has been increased and has opened up further industrial possibilities due to advantages of low density, low cost, biodegradability, abundance and renewability proffered by natural fibers. In this research, randomly oriented sisal fiber and talc filler were used to reinforce polyester matrix to produce composites of 3 mm thickness. The composites were fabricated by hand laying technique. Composite …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 2, 2018 · pp. 27–35 Read article
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Node Deployment Techniques for Link Prediction in Heterogeneous Social Networks
Abstract: AbstractThis research analyses the coverage problem in heterogeneous social network system with two types of sensor nodes having different sensing ranges. The Particle Swarm Optimization (PSO) algorithm is implemented for coverage optimization in heterogeneous network system. This algorithm is used for finding the optimal deployment of the sensor nodes by using specific fitness function. The performance of sensor nodes after running PSO algorithm is evaluated by using Euclidean distances for …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Interpretation of Position Information Based Routing Protocols with Different Transmission Power
Abstract: VANET is a technology that is used to avoid accident and it provides safety on road. VANET is used to achieve the continuous connectivity. It provides essential alert and accessing comfort and entertainment on road. Routing protocol plays big role in vehicular network. It provide a way how to find so many routes to reach destination and if network failure then it goes to alternate path. Hence this paper proposed …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 1–5 Read article
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Development of vaccine against Helicobacter pylori using Bioinformatics approaches
Abstract: Helicobacter pylori (H. pylori) are a widespread kind of bacteria which flourish in the digestive tract and have a propensity to damage the stomach lining. The microbe infects around 60% of the adults globally. H. pylori infections are responsible for most of stomach and small intestine ulcers. Using Bioinformatics approaches, we have identified certain proteins that possess the resistance, essentiality and virulence factors for this pathogen. Computational tools and servers …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 34–68 Read article