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1986 articles for “failure-prediction AUROC of 0.967” (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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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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Regional Variation in Amino Acid Composition, Antioxidant and Antimicrobial Activity of Tasar Sericin from North and South Bihar
Abstract: This study investigates geographical differences in biochemical and functional characteristics of sericin obtained from Antheraea mylitta cocoons sourced from two regions of Bihar, India: Bhagalpur (North) and Banka (South). Sericin was isolated via an alkali-assisted autoclaving process. Amino acid profiles were determined using HPLC. Free radical scavenging capacity was measured through DPPH, ABTS, and hydrogen peroxide assays. Antibacterial and antifungal effects were tested against Staphylococcus aureus, Escherichia coli, and Candida …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 1–10 Read article
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Role of AI in waste reduction and energy efficiency
Abstract: Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 43–48 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Machine Learning–Assisted Design of High-Performance Biomedical Polymer Composites
Abstract: The high-performance biomedical polymer composite design needs to represent a trade-off between the strength, biocompatibility, and degradation that cannot be accomplished using conventional design methods. The study aims to develop a predictive and optimization framework of composite properties with the help of machine learning. The methods include ANN, SVM, Random Forest, and Gradient Boosting with experiment and simulation data. The results of Gradient Boosting show that the accuracy is 95.9 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Fire Risk Assessment and Safety Improvement Strategies in Industrial Facilities: A Comprehensive Review
Abstract: Fire incidents in industrial facilities continue to pose significant threats to human life, infrastructure, production continuity, and the environment despite continuous advancements in industrial safety practices. The increasing complexity of manufacturing processes, the widespread use of flammable materials, and the integration of automated systems have intensified the need for systematic fire risk assessment and effective safety management. This review paper examines the major sources of fire hazards in industrial environments, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 36–47 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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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
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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AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article
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Reliability-Aware Mathematical Model for Radiation-Hardened Satellite Communication Systems
Abstract: Satellite communication systems operate in radiation environments in which total ionizing dose (TID), displacement damage, and single-event effects (SEE) can progressively degrade electronic, optoelectronic, and communication components and can ultimately reduce link availability and mission reliability. This paper develops a Reliability-Aware Radiation-Hardened Satellite Communication Model (R-RHSCM) that mathematically couples the orbital radiation environment, accumulated radiation dose, component degradation, communication-link performance, single-event failure probability, redundancy, thermal effects, and adaptive mitigation. The …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Wind Pressure Analysis on the Selected Structure Using IS 875 (Part 3) 2015 and CFD (Computational Fluid Dynamics)
Abstract: Wind-induced pressure plays a significant role in the safety and serviceability of tall buildings, slender vertical structures, and signboard hoardings. Currently, computational fluid dynamics (CFD) has become an effective supplemental tool in the analysis of the interaction of wind and structures. This paper presents a unified comparative study integrating multiple investigations various modal (ⅰ) Tall rectangular building (50 m × 50 m × 150 m), (ⅱ) Rectangular Building (18 m …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 70–80 Read article