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1930 articles for “over- sampling” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Molecular Surveillance of Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV) Across Major Aquaculture Zones of Telangana, India
Abstract: Viral diseases represent a persistent threat to cyprinid aquaculture; however, region-specific surveillance data from tropical production systems remain limited. To address this gap, a comprehensive statewide active surveillance programme was undertaken across Telangana, India, from 2019 to 2022 to investigate the occurrence of two priority transboundary pathogens, Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV). A total of 414 fish specimens were systematically collected from five surveillance sectors …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Tensile and Flexural Strength Quantification of Basalt-Reinforced Epoxy Composites Fabricated via Vacuum-Assisted Resin Transfer Molding at Varied Fiber Volume Fractions Description
Abstract: Fiber-reinforced polymer composites have been identified to possess excellent properties that render them very suitable in the aerospace, automotive, marine and renewable energy sectors. However, for the industrially scalable vacuum-assisted resin transfer molding (VARTM) process, optimization of mechanical properties of basalt epoxy composites must be achieved systematically, which means that the effect of the fiber volume fraction (VF) on the mechanical properties of the composite needs to be quantified for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 43–57 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Analysis of the coffee market structure, conduct, and performance in the Gimbo District of the Kaffa Zone in Southwest Ethiopia
Abstract: Coffee is a vital export commodity for Ethiopia, contributing significantly to the country's GDP and rural livelihoods. In the Kaffa Zone, particularly in Gimbo District, coffee production serves as the primary source of income for smallholder farmers. Despite its economic importance, the coffee market in the study area faces several constraints, including low production capacity and inadequate market infrastructure. This study aimed to identify key actors in the coffee market …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 63–81 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Determinants of Coffee Market Outlet Choices in Gimbo District, Kaffa Zone, Southwest Ethiopia.
Abstract: Coffee is Ethiopia’s most important export crop, contributing significantly to GDP and providing income for around 20% of the population. Despite its potential, farmers face marketing challenges, particularly in selecting appropriate market outlets. This study analyzes the determinants of coffee producers’ market outlet choice decisions in the Gimbo district. A purposive and two-stage random sampling technique was used to collect data from 200.00 coffee producers, 22.00 traders, and 22.00 consumers …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 4, 2025 Read article
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Unraveling Mixed Ionic-Electronic Conduction in Lithium-Substituted Rubidium Tetra Titanates via Dielectric Spectroscopy and EPR Analysis
Abstract: Lithium-substituted Rubidium Tetra Titanates with varying concentrations of lithium carbonate (Li₂CO₃) — specifically 0.01, 0.05, and 0.1 molar percentages — were successfully synthesized using a conventional high-temperature solid-state reaction method. The resulting compounds follow the general chemical formula Rb₂₋ₓLiₓTi₄O₉. X-ray diffraction (XRD) analysis confirmed that lithium ions were successfully incorporated into the crystal lattice without disrupting the fundamental layered structure of the host material. The crystal system remained monoclinic across …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 19–29 Read article
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Assessing the Mechanical, Structural and Thermal Performance of Boehmeria Nivea and Agave Sisalana Fiber Reinforced Polymer Composite by using Seashell Powder as a Filler Material
Abstract: Natural fiber composites have replaced plastics and have been used to the maximum extent. Hybridization of natural fibers with filler materials has achieved higher tensile, impact, and flexural strength compared to single fiber composites. In this research, the mechanical properties were investigated with the ramie and sisal hybrid fiber reinforced with seashell powder as filler material. Filler material can enhance the flexural property of the natural fiber. Hybrid composite plates …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 355–369 Read article
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Mechanical Characterization of Green Composite Brake Pads Reinforced with Coconut Shell Waste
Abstract: In the present work, coconut shell powder proposed as a replacement material for the eco-friendly brake linings. The composites for brake pad were developed with other sizes of the coconut shell particles, namely (200 µm, 300 µm, 400 µm and 500 µm) The developed samples were evaluated for morphological, mechanical, physical and worability properties. The SEM micrograph proved that the coconut shell particulates are well dispersed in the composite everywhere …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1636–1648 Read article
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Variations of Macroplastics in Water and Sediments at Bundu Waterfront, Upper Bonny Estuary, Rivers State, Nigeria
Abstract: Macroplastic pollution has become an increasingly severe environmental challenge, particularly in urban waterfronts where waste management is inadequate. Bundu Waterfront of the Upper Bonny Estuary in Port Harcourt, Rivers State is a sink for macroplatics from careless disposal of solid wastes and inadequate management thus affecting the biological integrity and aquatic life of this estuary. The resultant impact of the macroplastics on abiotic factors through the evaluation of different floating …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 12–22 Read article
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Consumer Behavior Trends Supporting Green Marketing
Abstract: Growing environmental concerns and the increasing emphasis on sustainability have significantly influenced consumer preferences, leading to a noticeable shift toward eco-friendly products and the emergence of green marketing as a key strategic approach for businesses. The study aims at evaluating consumer behavior trends based on the concept of green marketing, including environment awareness, attitudes of the consumers and how it influences consumer buying behavior and confidence in green marketing claims. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 45–52 Read article
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Carbon-Coated Te-Doped Bi₂Se₃ as a Topological Quantum Anode Material for Sodium-Ion Batteries
Abstract: Sodium-ion batteries (SIBs) are increasingly investigated as cost-effective alternatives to lithium-ion systems for large-scale energy storage; however, the development of stable and conductive anode materials remains a major challenge. In this work, tellurium-doped bismuth selenide (Te-doped Bi₂Se₃) was synthesized and further modified with Super P conductive carbon to improve its sodium-storage behavior. The phase formation and structural retention of the active material were examined using X-ray diffraction, while elemental mapping …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 57–63 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Isolation, Purification, and Identification of Antibiotic-Resistant Bacterial Strain from Food Stuffs
Abstract: The widespread presence of bacteria in foodstuffs poses significant trouble to health and food safety. Pathogens in consumable products increases the transmission of resistance genes to human, potentially compromising the efficacy of conventional antibiotics. This study aims to isolate, purify, and identify antibiotic-resistant bacterial strains from food items, meals, and vegetables. The investigation employed selective culture techniques, antibiotic susceptibility assays, and molecular identification methods to detect and characterize resistant strains. …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 37–45 Read article
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Effect of Heat Treatment on Mechanical Properties of Silver Nanoparticles Embedded in Phosphate Glasses
Abstract: AbstractSilver nanoparticles have been embedded in CaO-P2O5 and CaO-CaF2-P2O5 glasses using melt quenching technique and heat treatment process. The growth of silver nanoparticles in the glass matrix appeared to be time dependent. Mechanical properties such as Vickers hardness, fracture toughness and brittleness for the glass samples were evaluated using a Vickers Indentation technique. Variation in Vickers hardness, Fracture toughness, and brittleness was observed with an increase in the size of …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 11–17 Read article
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Aluminum Oxide Nanofluids Thermal Conductivity Enhancement Analysis: A Review
Abstract: Aluminum oxide nanofluids are enhanced heat transfer fluids that utilize the thermal conductivity of aluminum oxide (Al2O3) nanoparticles suspended within a base fluid. As technology advances, more efficient high heat flux solutions are required to manage the higher concentration of power in smaller designs. In this review paper, data from multiple experiments pertaining to the thermal conductivity of Al2O3 nanofluids will be presented. Information is compiled from peer reviewed and …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 48–58 Read article
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Speech Recognition and Analysis using Energy of the Signal
Abstract: AbstractSpeech plays an important role in day to day communication. It is a natural way to transfer thoughts from one to another. If any information needs to deliver in between human’s speech is the best way of delivery. With the help of the electronic system, we can extract the information from the original speech signal by doing signals processing. Here, in this research work, we formulate the system that recognizes …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–33 Read article
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Inter-patient Heartbeat Classification Using Higher Order Statistics and Symbolic Dynamics of ECG Signal
Abstract: Computer assisted heartbeat classification techniques have gained significant importance in the recent years as they aid the cardiologists in identifying abnormal heartbeats in ECG recordings. These techniques are of vital importance especially for the long term ECG recordings where it is not feasible to manually analyze the numerous heartbeats. Electrocardiogram (ECG) is an electrical representation of human heart activities and change of these activities is reflected in the morphology of …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 37–45 Read article