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253 articles for “five”
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Targeting PTPN22 in Arthritis: Molecular Docking and Pharmacokinetic Evaluation of Artemisia vestita Compounds
Abstract: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by inflammation of the synovial membrane, commonly resulting in swelling, pain, stiffness, and overall fatigue. Protein tyrosine phosphatase non-receptor type 22 (PTPN22) has been identified as a risk factor linked to various autoimmune diseases, including RA. In the PTPN22 gene, two missense Single nucleotide polymorphisms (SNPs) are associated with autoimmune conditions. The R620W (C1858T, rs247660) variant in exon 14 has been …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 20–31 Read article
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Molecular Docking of Arjuna Tree Phytocompounds for Ischemic Heart Disease
Abstract: Heart disease is a serious condition that can be caused by several lifestyle changes and sometimes genetic problems. The primary protein component of apolipoprotein is the LDL receptor, which indicates that a reduction in LDL levels can reduce the risk of ischemic heart disease. Apolipoprotein levels are associated with increased levels of ischemic heart disease. Using ADMET analysis, drug likelihood prediction, and molecular docking, this work attempted to find natural …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article
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Mechanical Property Assessment of Hybrid Composite Laminates Composed of Jute Glass Fibers in Combination with Flax, Hemp, Sisal and Kenaf Fibers Using the Hand Layup Technique
Abstract: The present work compares the properties of various hybrid composite laminates manufactured using the hand layup technique and addresses their production process, based on glass fiber as the exterior layer and natural fibers (flax, hemp, kenaf, jute, and sisal) as interior layers, in an epoxy resin. Five stacking sequences A-GJJJJG, B-GFJJFG, C-GHJJHG, D-GKJJKG, and E-GJSSJG were used to prepare the test specimens. According to ASTM guidelines, experiments were performed to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 103–113 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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A Comparative Study to Assess the Level of Satisfaction with Nursing Care Services Among the Patients Admitted in the Selected Government and Private Hospital of District Mohali, Punjab
Abstract: Introduction: The global healthcare environment is undergoing significant transformation. Within this dynamic setting, nursing care plays a crucial role in patient outcomes. Today, patient satisfaction with nursing care is widely recognized as a key indicator of overall hospital service quality. Assessing patient satisfaction from a patient-centered perspective has become an essential part of modern quality management systems in hospitals. Since nursing care constitutes a fundamental part of healthcare delivery, its …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 9–16 Read article
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A Review on Unmasking Merkel Cell Polyomavirus: From Discovery to Cancer Driver
Abstract: Merkel cell polyomavirus (MCPyV) is a small, non-enveloped, circular double-stranded DNA virus belonging to the Polyomaviridae family, first characterized in 2008. Epidemiological data suggest widespread exposure, with seroprevalence rates approaching 80% in adults. While primary infection is typically asymptomatic, rare integration events in Merkel cells can initiate oncogenesis, yielding Merkel cell carcinoma (MCC), a neuroendocrine skin cancer with a five-year survival rate under 60%. This review integrates findings from six …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 6–11 Read article
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Development and Optimization of Orally Disintegrating Tablets (ODTs) Containing Standardized Curcumin Extract for Enhanced Bioavailability and Patient Compliance
Abstract: This research centers on creating and perfecting orally disintegrating tablets with standardized curcumin extract to both increase its bioavailability and promote better patient adherence. Although curcumin has numerous therapeutic applications. It remains clinically ineffective due to its poor aqueous solubility and bioavailability constraints. The development of orally disintegrating tablets involved direct compression with various levels of superdisintegrants including sodium starch glycolate and cross povidone to address existing challenges. Research teams …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 1–06 Read article
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Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 Read article
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Characterization and Antimicrobial Investigations of Isomeric Pr(III) Juglonates
Abstract: Hydroxy napthoquinone derivatives constitute an interesting group of ligands which is recognized as ‘Juglones’. Isomeric Lawsone-Juglone and Phthiocol-Plumbagin are the most important members of the Juglone series and are biologically active, having natural origin. They form isomeric pairs of ligands resulting into isomeric pairs of metal chelates. The isomerism is occurring due to formation of either five or six membered rings in the metal chelates. In the present work Prasodymium …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 545–552 Read article
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Assessment of Several Feed Varieties in Carp Polyculture
Abstract: This six-month aquaculture study evaluated the effects of four distinct feeding treatments on the production and development of a five-species polyculture system comprising common carp (Cyprinus carpio), grass carp (Ctenopharyngodon idella), Rohu, Katla, and Mrigel. The experiment utilized the total volume for eight ponds, each with a volume of 150 m3 is 1200 m3 (cubic meters) to compare: T1 (finely chopped Dubo grass and mash feed), T2 (sinking pellet), T3 …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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In Silico Screening of Terminalia chebula Phytocompounds as Potential Inhibitors of NTCP and DDB1 in Hepatitis B Virus Infection
Abstract: Hepatitis B virus (HBV) infection is a major global health concern, and chronic carriers are at risk of developing cirrhosis, hepatocellular carcinoma (HCC), and even death. Existing treatments can effectively inhibit viral replication, but they achieve little eradication of the virus because of covalently closed circular DNA (cccDNA) retention. In this investigation, bioactive compounds of Terminalia chebula, a plant known for its hepatoprotective and antiviral properties in traditional medicine, were …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 33–44 Read article
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Innovation Ecosystem: Understanding Sustainable Development Through Technology
Abstract: Over the past 15 years, the notion of “Innovation Ecosystem” has captured the attention of scholars and practitioners alike. The increasing interest underscores the growing acknowledgement of the pivotal role played by Innovation Ecosystems in driving societal and economic advancement. This research work aims to explore innovation ecosystems, focusing on how they work, the challenges they face and their potential for driving sustainable progress. Overall, the goal is to improve …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 21–26 Read article
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5-Methyl-2-phenyl-2,4-dihydro-3H-pyrazol-4-one: Synthesis and Reactions
Abstract: The presence of the five-member pyrazole nucleus in different structures leads to a large diversity in its applications. In almost every research study, the pyrazole derivatives biological importance faces a competitive challenge in areas of technology, medicine and agriculture. This reflects the description of these derivatives as antibacterial, antifungal, anticancer, antidepressant, anti-inflammatory, anti-tuberculosis, antioxidant as well as antiviral agents. In our review, we will discuss and show the highlights of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 Read article
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Matriarchal Influence and Spiritual Identity: Exploring Women's Spirituality in Young Sheldon
Abstract: The study analyzes the TV series Young Sheldon (2017–2024) through maternal and spiritual feminism. It is a prequel to The Big Bang Theory, set in the 1980s. It is based on a ten-year-old Sheldon’s struggles to adjust to his environment. It aims to examine the study critically, emphasizing the role of his mother and her maternal and spiritual practices through episodes of seasons one to five. The study works on …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 33–43 Read article
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Performance Enhancement of COC-Modified LLDPE Films: Optimization of Stiffness, Tear Resistance, and Barrier through Plasma Surface Modification
Abstract: This study explores the development of high-performance packaging materials by blending commodity Linear Low-Density Polyethylene (LLDPE) with engineering cyclic olefin copolymer (COC) as a performance modifier. To leverage the processability of LLDPE alongside the structural rigidity of COC, blends were prepared at various weight ratios (95/05, 90/10, 85/15, and 80/20) using twin-screw melt extrusion, followed by the production of films and sheets via blown film extrusion and compression molding. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 128–143 Read article
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Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
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The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Farmer Producer Organizations as Catalysts of Rural Transformation: A Multidimensional Framework from Punjab, India
Abstract: Farmer Producer Organizations (FPOs) have evolved as an important institutional mechanism for resolving the socio-economic challenges of small and marginal farmers by fostering collective action, expanding market access, and boosting bargaining power. In the broader context of sustainable rural development, FPOs are increasingly acknowledged as catalysts of rural transformation by contributing to numerous dimensions of farmer well-being. However, current study has generally analyzed FPOs through economic and operational indicators, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 3, 2026 Read article
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Semiring-Weighted Automata and Recursive Path Counting for Multi-State Reliability in Discrete Infrastructures
Abstract: Multi-state infrastructures such as communication backbones, microgrids, warehouse routing systems, and sensor-actuator pipelines evolve through discrete event sequences rather than through a single binary "working/failed" transition. This paper develops a semiring-weighted automata framework for reliability analysis in which state changes, repair actions, and degraded operating modes are represented by weighted transitions on a finite automaton. A path valuation is defined over an additively idempotent reliability semiring and extended to a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 30–36 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article