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1958 articles for “Disc” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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The Role of Natural Products in Antiviral Drug Discovery: Insights into Mechanisms and Therapeutic Potential
Abstract: Drug discovery has always relied heavily on natural sources, especially when it comes to creating antiviral medications. This review explores the therapeutic potential of various natural products, including plant extracts, marine compounds, and microbial metabolites, in the fight against viral infections. We examine the mechanisms of action by which these natural compounds exert their antiviral effects, including direct inhibition of viral replication, modulation of host immune responses, and interference with …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 36–47 Read article
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Study of Strength of Composite Laminates with Ply- Discontinuities Using FEM
Abstract: Present research work attempts to understand the effect of ply-discontinuities on the strength of the FRP Composite. Finite Element Analyses have been performed for specimen undergoing four-point bend loading condition using ABAQUS software. Three specimens consisting of different ply sequences, same resin pocket size and location have been considered for the present analysis. Cohesive zone modelling technique is implemented to simulate and predict crack propagation pattern during failure of composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 89–98 Read article
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Revolutionizing Healthcare: AI in Drug Discovery and Pharmacy Practices
Abstract: Artificial intelligence (AI) has emerged as a revolutionary element across numerous sectors, especially in healthcare and pharmacy. AI systems that can execute functions typically necessitating human intelligence, such as learning, problem-solving, and speech recognition, are poised to transform drug discovery, enhance patient care, and reshape pharmacy practices. AI can help discover drugs with predicting interactions with drug destinations, virtual screening, drug reuse, and drugs that accelerate the development of effective …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 94–100 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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Pathways in Drug Discovery and Development: From Molecular Targets to Market Approval
Abstract: A complicated, multidisciplinary, and resource-intensive process, the discovery and development of new pharmacological drugs is essential to the advancement of contemporary medicine. Finding and optimising lead chemicals comes after a disease-relevant biological target has been identified and validated. Through preclinical research in animal models, these leads are thoroughly assessed for toxicity, pharmacokinetics, safety, and efficacy. Clinical trials, which are carried out in several stages to evaluate safety, efficacy, ideal dosage, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 01–04 Read article
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Emerging Digital Trends in Virology Software: Optimizing Viral Discovery, Surveillance,and Patient Management.
Abstract: Virology and antiviral therapeutics are being reshaped by rapid advances in computational tools, automation platforms, and virus-focused digital health applications. Software systems now span the entire virology value chain, from in silico viral target identification and antigen design, to AI-supported clinical trial management for vaccines and antivirals, to post-marketing pharmacovigilance and patient-facing mobile tools. This review examines current and emerging software trends relevant to virus studies, emphasizing applications in viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 29–38 Read article
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AI Adoption in Medical Libraries: A Study on SDMH’s Use of Ovid Discovery AI and Its Impact on Evidence-Based Medicine
Abstract: The role of Artificial Intelligence (AI) in transforming medical libraries is increasingly significant as these libraries evolve to become intelligent, responsive hubs for knowledge dissemination. This paper explores the adoption of AI tools at Santokba Durlabhji Memorial Hospital (SDMH) Medical Library, focusing on the integration of Ovid Discovery AI, a cutting-edge tool designed to enhance literature search accuracy, summarize content, and provide context-aware recommendations. Using a mixed-methods approach, the study …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 1–9 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 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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Indirect Methods for Discretizing Fractional Order Differentiator in Delta Domain—A Comparative Study
Abstract: In this paper, three indirect methods are presented for discretizing fractional order differentiator in delta domain. To this aim, three extensively used discrete time approximation methods of -domains are reformulated in delta domain. As a first step of applying the indirect discretization method, rational approximation of a half order differentiator is obtained using the Oustaloup approximation method. Then, all of the proposed discretization methods are applied separately on the integer …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 2, 2017 · pp. 27–34 Read article
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Musculoskeletal Discomfort among Grinders Working in Manufacturing Industry
Abstract: This study aims to assess the work related musculoskeletal discomfort in 94 subjects engaged in grinding task in manufacturing industry. All subjects who participated in this study were males with mean age (SD) of 34.26 (9.67) years and work experience in grinding job ranges from 01–27 years with a mean (SD) of 10.47(7.21). Most of the workers had an education below matriculation (81.9%), out of which 32.9% were devoid of …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 1, 2017 · pp. 10–14 Read article
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Discomfort Analysis in Pneumatic Grinding: Steam Generator Manufacturing Industry
Abstract: Steam generator manufacturing involves a lot of custom designed components requiring intensive fabrication activities of welding and grinding. Pneumatic grinding machines of different types are widely used in such industries as they offer flexibility and ease of use. However, the deployment of pneumatic tools are associated with hand transmitted vibration and related health issues. The present study aims to evaluate the extent of discomfort levels of operators and its relationship …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Optimization of Machining Parameters in Electric Discharge Machining of Al 65032
Abstract: Electric discharge machining has the potential to maintain surface topography and produce less stresses and destruction to the components. In this machining there is no contact between the tool and the work piece. The spark generated due to the electrostatic field generation between tool and the work piece. The objective of this experimentation was to create guidelines for electric discharge machining of Al 65032. Aluminum alloy 65032 is one of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Perception of Medical Students about Electronic Discharge Summaries
Abstract: On the increase is the utilization of electronic discharge summaries (EDS) for clinical perspective as well as for research; but rarely studies have been made in recent years which look at the perspectives of medical students regarding usage of EDS. Medical students are a critical stakeholder in the hospital operations and they can provide useful analysis on everyday processes that impact patient care throughout the process of discharge summary. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 3, 2012 · pp. 18–29 Read article
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Effectiveness of Hot Fomentation on Leg Discomfort among Chronic Kidney Disease Patients Admitted at MM Institute of Medical Sciences and Research and Hospital
Abstract: The objective of the study was to evaluate the effectiveness of hot fomentation on leg discomfort among chronic kidney disease (CKD) patients. A Quasi experimental study was conducted on chronic kidney disease patients (n=60) at MMIMSR and Hospital, who were divided into two groups experimental and control group. The data was collected by leg discomfort rating scale. Hot fomentation was administered to CKD patients twice a day for three days …
Published in Research and Reviews: A Journal of Medicine · Vol. 4, Issue 3, 2014 · pp. 1–4 Read article
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Comparative Effectiveness of Surgical and Nonsurgical Management for Patients with Single Level Lumbar Disc Herniation in terms of Symptom Severity and Quality of Life
Abstract: Background: Sciatica is one of the most severe forms of low back pain, with a lifetime prevalence of approximately 30 percent. Aim: To assess the short-term and long-term efficacy of surgical and conservative care in the incidence of sciatic symptoms and quality of life in standard clinical settings among patients with lumbar disc herniation. Material and Method: It was a retrospective study conducted at the Medical Trust Hospital, Kochi, India. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 25–29 Read article
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Drug Design and Process Chemistry: Bridging the Gap between Discovery and Manufacturing
Abstract: This review explores how drug discovery connects with process chemistry to enable large- scale pharmaceutical manufacturing. While drug discovery identifies and optimizes therapeutic compounds, process chemistry adapts these compounds for mass production, addressing challenges in scalability, cost, and quality. The article examines the role of early collaboration between drug designers and process chemists, recent innovations in green chemistry and flow chemistry, and case studies that illustrate successful scale-up strategies. Emerging …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 09–21 Read article