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1941 articles for “Didymophyes bayaramae .sp.nov. and Manipur” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Understanding Airborne Pathogens: Pathways, Risks, and Control Strategies
Abstract: Airborne transmission is the transfer of germs through the air, mostly by respiratory droplets and aerosols that come out when you cough, sneeze, talk, or breathe. These particles can stay in the air for a long time and move a long way, especially in small or poorly ventilated places. Mycobacterium tuberculosis, measles virus, varicella-zoster virus (chickenpox), influenza virus, and more recently, SARS-CoV-2 are all infections that can be spread through …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Polyurethane: Chemistry, Production, Applications, and Future Prospects—An Overview
Abstract: Polyurethane (PU), a class of versatile polymers, has emerged as one of the most significant materials in modern industry owing to its remarkable mechanical strength, elasticity, durability, and resistance to abrasion, chemicals, and environmental degradation. Its wide range of tunable properties has made PU indispensable across multiple sectors, including fashion, automotive, manufacturing, biomedical, coatings, and construction. This review emphasizes the diverse applications of polyurethane and explores how its unique chemistry …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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New trends in Radio Frequency design and making things smaller
Abstract: Recent improvements in wireless communication, the Internet of Things (IoT), and 5G/6G networks have made people want small, powerful radio frequency (RF) equipment. With an emphasis on how developments in materials engineering, circuit architecture, and packaging technologies are redefining RF system integration, this article offers a thorough evaluation of current developments in RF downsizing. System-on-Chip (SoC), System-in-Package (SiP), and Antenna-in-Package (AiP) ideas, which allow tightly integrated RF front-ends with enhanced …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 28–34 Read article
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Enhancement of Mechanical Properties in Hemp Fiber-Reinforced Epoxy Composites Using Graphene Nanoplatelets
Abstract: This study investigates how incorporating graphene nanoplatelets (GNPs) influences the mechanical performance of hemp fiber–reinforced epoxy composites. Hemp fibers were chemically treated by alkali treatment to improve fiber–matrix adhesion owing to their high specific strength, stiffness, renewability, and environmental friendliness. Graphene nanoplatelets were dispersed in acetone by probe sonication and added to acetone epoxy matrix at a concentration of 0.5 wt% and 1.0 wt%, respectively. Composite laminates were prepared by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 98–109 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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A Theoretical Model for a Fermi–Boson Hybrid Particle in Nuclear and Particle Physics
Abstract: We present a theoretical model for a Fermi–Boson Hybrid Particle (FBHP) that unifies fermionic half-integer spin matter fields with bosonic integer-spin force fields within a single quantum framework. By extending conventional quantum field theory, a hybrid creation operator is formulated that combines fermionic and bosonic operators through a continuous mixing parameter, allowing smooth interpolation between Fermi–Dirac and Bose–Einstein statistical behaviour. A generalized statistical mechanics formalism is developed, leading to quantitative …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 10–18 Read article
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Role of Social Media in General Elections 2024 in India
Abstract: The role of social media in the 2024 general elections in India is poised to be a transformative force, significantly impacting political communication, voter engagement, and campaign strategies. With nearly one-third of the electorate having consistent access to social media, this election marks a critical juncture in Indian democracy, reflecting the rapid evolution of digital platforms as vital tools for political outreach and discourse. This shift follows a historical trajectory …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 50–60 Read article
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Formulation, Evaluation, and Stability Studies of a Topical Clotrimazole and Zinc Oxide Suspension with Enhanced Skin Protective Properties
Abstract: Background: Clotrimazole is a well-known antifungal agent frequently used in the treatment of various superficial fungal infections, while Zinc Oxide is a widely accepted skin protectant with soothing, astringent, and antimicrobial properties. Combining these agents in a topical suspension offers a dual therapeutic approach, enhancing both antifungal efficacy and skin protection. Objective: The objective of this study was to formulate, evaluate, and conduct stability studies on topical suspensions containing Clotrimazole …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 22–31 Read article
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A Mini Review of Synthesis and Applications of Functionally Graded Materials
Abstract: Material composition or microstructure varies gradually along the thickness over a specific volume in functionally graded material (FGM) that results in spatial change in properties like thermal conductivity, strength, stiffness, electrical, magnetic, and light properties, etc. Application of the concept of FGM leads to a single product that has multiple properties in it as demanded by the operational or functional requirements of the product under service conditions. It also allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 54–65 Read article
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Development and Evaluation of a Coconut-Based Jam
Abstract: Background: Conventional coconut jam formulations rely heavily on refined sucrose to achieve sweetness, texture, and preservation, limiting their suitability for individuals seeking reduced-sugar dietary options. The growing demand for nutritionally improved food products has encouraged the development of alternative formulations using natural sweet ingredients and polyol-based humectants. Objective: The present study aimed to develop and standardize a coconut-based reduced-sugar jam using coconut milk, dates, raisins, sorbitol, glycerine, citric acid, sodium …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Design and Mathematical Quantification of a Compressed-Air Vehicle
Abstract: Compressed-air technology is emerging as a promising alternative mode of transportation, offering significant advantages over conventional fuel-operated vehicles. Unlike fossil fuel systems, compressed-air propulsion produces no direct emissions, making it an eco-friendly solution to rising concerns about air pollution and environmental degradation. Owing to its sustainability potential, this technology has attracted considerable attention from researchers, engineers, and energy enthusiasts worldwide, who have conducted extensive studies to improve its efficiency, feasibility, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1026–1035 Read article
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Performance Evaluation of PET Strip Fiber Reinforced Concrete
Abstract: Polyethylene Terephthalate, commonly known as PET, is a petroleum-based plastic polymer that is widely used in the packaging of various commodities due to its durability, and poses a major threat to the environment. To tackle this scenario, the construction industry is researching all possibilities to incorporate this waste into concrete and enhance the properties of concrete. The present study evaluates the performance characteristics of M 30 grade concrete when reinforced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1076–1088 Read article
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Combustion Synthesis and Comprehensive Characterization of Pure and Ni-Doped CuFe₂O₄ Nanoparticles for Functional Composite Applications
Abstract: The CuFe2-xNixO4 (x = 0, 0.1, 0.3, and 0.5) nanoparticles were synthesized using a combustion method and comprehensively characterized to understand their suitability for polymer-based composite applications. X-ray diffraction confirmed the formation of a single-phase spinel ferrite structure with crystallite sizes of 20–30 nm. Energy-dispersive X-ray spectroscopy verified the successful incorporation of Ni ions into the CuFe₂O₄ lattice, while FE-SEM analysis revealed uniformly dispersed nanoscale particles desirable for composite reinforcement. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article