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1948 articles for “F1-score of 0.918” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Determination of Pesticide Residues in Agricultural Soil using High Performance Liquid Chromatography (HPLC), Gazipur District, Bangladesh
Abstract: This study was undertaken to determine the presence of pesticide residues in some agricultural soils of Gazipur district in Bangladesh. The collected soil samples were analyzed for some selected pesticides such as DDT, methoxychlor, acephate, fenthion, fenitrothion, parathion, ethion, carbaryl, carbofuran and cypermethrin by using high performance liquid chromatography (HPLC) with PDA detector. The results showed that none of the soil samples were contaminated with organochlorine and pyrithrium pesticides. Soil …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 3, 2015 · pp. 1–7 Read article
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Pyrethroid Mediated Some Macromolecular and Biochemical Changes in Freshwater Teleost
Abstract: Abstract In present investigation, a freshwater fish Channa punctatus was exposed for 21 days to synthetic pyrethroid malathion at sublethal concentrations of 0.007mg L−1 and 0.093 mg L−1 that represented 10% of the 96 h LC50 of the pesticide for this fish. Tissue samples were collected at the end of the experiment and analyzed to determine oxidant/antioxidants status (catalase, LDH, DNA content, protein content, cortisol, etc.) of the fish. Enzyme …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 2, 2020 · pp. 14–21 Read article
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Toxicological Evaluation Of Two Nigerian Refinery Effluents Using Natural Biomonitors
Abstract: Abstract The present study aimed to evaluate the toxic effects of two Nigerian refineries’ effluents using natural bio-monitors. Standard physicochemical analysis, toxi-chromo test using mutant E. coli and sub-chronic animal toxicity testing with emphasis on tissue heavy metal accumulation, biochemical parameters and histopathology, were adopted during the study. The physicochemical results revealed that the two effluent samples are highly polluted although PH sample was more polluted than the Warri sample. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 2, 2020 · pp. 22–31 Read article
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Aetiological Prescription in Homeopathy that Cured a Case of Chronic Urticaria
Abstract: Urticaria is a common skin disease characterised by recurrent pinkish or red, raised wheals or hives with itching that usually last less than 24 h. However, in some patients lesions persist intermittently or continuously for more than six weeks and are classified as chronic urticaria (CU). CU may be further subdivided into CU with potential provoking factors; Autoimmune urticaria and Chronic idiopathic urticaria (CIU) depending upon aggravating factors and the …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 2, 2018 · pp. 37–41 Read article
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Design and Performance Analysis of a Log Periodic Dipole Antenna with a Frequency Range of 1350 to 2690 MHz
Abstract: The introduction of broadband systems to communication and non-communication technologies has demanded the design of broadband antennas. RF antennas have relatively small bandwidth and poor directivity while the log periodic dipole antenna (LPDA) provides better directivity and gain with wide bandwidth. For a communication link and data transmission at higher rates, wider bandwidth is required with high gain and directivity. This necessitates designing a wideband antenna. In this paper, a …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 1, 2017 · pp. 6–12 Read article
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Integrated engineering on design, development and operation of a Table Top Tokamak for Plasma experiments
Abstract: Making of a Table Top Tokamak is having the acute need for conducting various plasma experimental studies. As pulsed devices, small tokamaks come as handy solutions for plasma experimentalists to study the characteristic behavior of plasma at various operating conditions. In addition, it is a challenge to build a Tokamak from its conceptual design. In this paper, details are brought out for a single mode approach that is required to …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 54–62 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Triboelectric Charge Density Enhancement in Zinc Oxide Decorated Polymer Nanogenerators for Energy Harvesting Systems
Abstract: The growing need for wearable electronics, wireless sensor networks, and IoT devices has pushed research on triboelectric nanogenerator for long-term energy harvesting. However, traditional polymer-based TENGs' low triboelectric charge density restricts their energy conversion efficiency and practical performance. This research presents a zinc oxide (ZnO)-decorated polymer triboelectric nanogenerator designed to enhance surface charge density and improve electrical output. ZnO nanoparticles were synthesized using a hydrothermal method and uniformly deposited onto …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Mechanical Characterization of Bio-Based Polymer Composites Manufactured by Additive Manufacturing
Abstract: The use of bio-based polymer composites in additive manufacturing is becoming more and more attractive, but their mechanical properties are very sensitive to the loading of reinforcement, the orientation of the raster and defects of the printing process. In this study, the mechanical properties of PLA–bagasse composites produced by material extrusion were studied, focusing on the influence of the reinforcement fraction and the deposition structure. The composites were tested with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analytical Examination on the Characterization of Wood Materials for Biohydrogen Production
Abstract: Investigation was carried out with the aim to characterized some of wood materials obtained in Rivers State of Nigeria. The wood samples considered are Agba, Mahogany and Ako, in which the obtained result demonstrates variation in the ultimate composition as well as relative hydrogen gas produced with the action of anaerobic organisms, especially, for the fermented process. The production of the biohydrogen gas from each of the wood material sampled …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 59–64 Read article
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A Study to Assess the Effectiveness of an Information Education Communication Module Regarding Health Hazards of Junk Food Among Late Adolescent at Selected Villages
Abstract: Junk food refers to ready-to-eat foods that are prepared and served quickly, including a wide range of fast-food products. In recent years, the popularity and consumption of junk food have risen markedly in India, particularly among adolescents and young adults, who constitute the largest consumer group. This growing preference has made junk food a regular component of the dietary patterns of many adolescents in developing nations. Frequent consumption of these …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 19–25 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Experimental Investigation on Mechanical Characteristics of Fiber-Reinforced Concrete
Abstract: Concrete is one of the most utilized construction materials because of its excellent compressive strength and durability. Nevertheless, its relatively low tensile and flexural capacities often limit its performance in structures subjected to tensile stresses. To address this limitation, fiber reinforcement has emerged as an effective technique for enhancing the mechanical behavior of concrete. This study examines the influence of chopped basalt fibers on the strength characteristics of concrete through …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 · pp. 34–41 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences
Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article