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8804 articles
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A Review on Hybrid Inorganic–Polymer Analog Nanocomposites Incorporating Pozzolanic Wastes and nano-Additives
Abstract: The recent progress of polymer matrix nanocomposites (PMNCs) reveals that the performance of matrix and filler is at the core of matrix–filler interaction, interfacial bonding, and well-controlled distribution of nanoscale reinforcements. Applying these concepts, we consider inorganic particulate systems as hybrid nanocomposites, in which a discontinuous inorganic matrix is effectively reinforced via synergistic co-incorporation of pozzolanic wastes and nano-additives. In the composite system described above, silica-, alumina-rich pozzolanic materials serve …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 131–141 Read article
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Viscoelastic Behavior, Interfacial Mechanics, and Reliability of Polymer Interlayers in Laminated Glass Composites: A Comprehensive Review
Abstract: The laminated glass systems are regarded as hybrid polymer–glass composites where the viscoelastic behavior of polymer interlayers mostly controls mechanical response. These interlayers (polyvinyl butyral (PVB), ionoplast, ethylene-vinyl acetate (EVA), etc.) have time-, temperature- and rate-dependent properties which significantly affect shear transfer, energy dissipation, and fracture resistance. But the baseline polymer-relevant processes at the molecular and interfacial level are to a large extent unknown [1]. This review provides a materials-focused …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 258–268 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm
Abstract: Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation. This study investigates the enhancement of the Eleme distribution network in Rivers State through voltage upgrading and optimal deployment of a Static Synchronous Compensator (STATCOM). The existing network consists of a 5.56 km, 11 kV radial distribution system supplying seventeen distribution transformers with a cumulative load demand …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Optimization of a new Bebq2/BCP-based OLED structure for optimum performance
Abstract: Opto-electronic devices exhibit highly nonlinear current–voltage (I–V) characteristics that significantly affect charge injection, transport, and recombination, evaluating their performance remains a difficult challenge. Device optimization is a key research goal in organic light-emitting diodes (OLEDs), as the thickness and arrangement of individual functional layers greatly influence electrical and optical responses. For a suggested Bebq2/BCP-based OLED structure, this work methodically examines the movement of charge carriers, their transport behavior, and the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Effect of Silicon Carbide Filler on Mechanical and Damping Behavior of Basalt/Stainless Steel Hybrid Laminated Composites
Abstract: This study consolidates three experimental investigations on hybrid laminated composites reinforced with basalt fibre, stainless steel (SS) wire mesh, and silicon carbide (SiC) filler using vacuum infusion moulding. Three laminates were fabricated with filler variations of 0%, 1.5%, and 3% by weight of matrix material, maintaining a stacking sequence of [0B/0W/45B/0W/0B/45W]s with a thickness of 4–5 mm. The first investigation focused on impact strength. Drop-weight impact testing revealed a steady …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Legume-Induced Frothy Bloat in Tropical Cattle: Pathophysiology, Consequences and Preventative Measures
Abstract: Legume-induced bloat in tropical cattle is a complex and significant health challenge that affects livestock productivity and welfare. This review aims to elucidate the multifaceted causes of bloat associated with the consumption of leguminous forages, highlighting both the physiological mechanisms and environmental factors that contribute to this condition. Key factors include the high soluble protein content of legumes, rapid fermentation rates in the rumen, and the formation of stable foam, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 Read article
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A Critical Review of the Limitations of the Arithmetic Mean and the Robustness of the Median in Statistical Analysis
Abstract: Arithmetic mean is an extremely popular measure of central tendency used in statistical analyses, primarily because it is so easy to calculate and has many positive mathematical characteristics. However, when there are outliers, skewed distributions or heterogeneous spread of data, the reliability of the arithmetic mean diminishes greatly. This paper includes a critical review of the limitations of the arithmetic mean and an assessment of the robustness of the median …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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RNA- Based Drug Delivery, Current Advances, Pharmaceutical Applications, and Future Perspectives
Abstract: RNA-based therapeutics have emerged as a transformative approach in modern medicine due to their ability to regulate gene expression with high specificity and precision. Advances in molecular biology, RNA chemistry, and nanotechnology have accelerated the development of diverse RNA modalities, including messenger RNA (mRNA), small interfering RNA (siRNA), microRNA (miRNA), antisense oligonucleotides (ASOs), and RNA aptamers. These therapeutics offer promising strategies for the treatment of cancer, genetic disorders, infectious diseases, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Performance Evaluation of Kevlar-Sisal-S-Glass Hybrid Composites with Ceramic Fillers for Structural Applications
Abstract: This study examines the mechanical properties of hybrid composite laminates reinforced with Kevlar, sisal, and S-glass fibers, and incorporating ceramic fillers—silicon carbide (SiC) and aluminum oxide (Al2O3)—within an epoxy matrix. The hand lay-up method was utilized to produce the laminates, ensuring a uniform fiber stacking sequence and including 10% filler material. Two composite variations were synthesized: one incorporating SiC and the other Al₂O₃, and both underwent tensile, flexural, hardness, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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An Analytical Study of the Effectiveness of the Child Development Scheme in Anganwadi Centers of Rudraprayag District
Abstract: From the perspective of human development, childhood is regarded as a highly sensitive and multidimensional phase that plays a pivotal role in shaping the trajectory of human life. During childhood, children undergo rapid growth across their mental, social, psychological, and physical domains. Currently, the mental, physical, and social well-being—as well as the overall health—of children remains a grave challenge for the entire world. An increase in nutritional and health-related problems …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 35–47 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Valorization of shrimp processing waste by green methodology and its application in Chitosan-PEG composite film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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Design and Implementation of a Bidirectional Long-Range Communication System for Disaster Management Applications
Abstract: In times of natural disasters like earthquakes, floods, landslides and cyclones, the normal communication lines are frequently cut, thus reducing the ability of the affected people and the relief team to communicate vital information. Cellular networks and Internet-based communication systems could be compromised in the event of a loss of power, damage to infrastructure or network congestion. Thus, it is necessary to have a communication system that will be dependable, …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 Read article