Search
917 articles for “neutral-axis strain gradient”
Nothing matched all of your words, so these match any of them.
-
Silver-Nanoparticle-Loaded Polyurethane Composites for Antibacterial Medical Devices
Abstract: Polyurethane (PU) polymer is widely used in biomedical application. In our study we have combined polyurethane with silver nanoparticles to develop a nanocomposite material for antibacterial medical applications. Such combination has antibacterial properties and control the toxicity too. In current research we have mixed the different sizes and types of silver nanoparticles into the polyurethane matrix. The result was their antibacterial activity, mechanical strength, and biocompatibility. The antibacterial performance of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 29–34 Read article
-
Prospects and Growth Opportunities of Female-Owned Rural Farm Businesses in Plateau State, Nigeria
Abstract: The potential and growth chances of female-owned rural agricultural companies in Nigeria's Plateau State were investigated in this study. The objectives were to assess the prospects and opportunities available to female-owned rural farm businesses and to determine their effect on business growth and development across the state. The study covered female farm business owners engaged in crop production, livestock farming, mixed farming, and agro- processing across all 17 Local Government …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
-
Experimental Investigation of Polymer Composite-Based Protective Structures for Mitigating Crash-Induced Mechanical Abuse in Lithium-Ion Batteries
Abstract: The objective of this paper is to determine the effectiveness of using polymer composite protective structures to protect against the mechanical abuses associated with crash impacts that affect lithium-ion batteries in terms of their structural integrity and their overall safety. In addition to their use in electric vehicles, lithium-ion batteries are also being increasingly used in renewable energy-based energy storage systems because they have high energy densities, long lifetimes, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 113–132 Read article
-
A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
-
A Review on Smart Touchless Dustbin Systems for Hygienic Waste Management and Smart City Applications
Abstract: Municipal solid waste output has significantly increased as a result of rapid urbanization and population expansion, placing a strain on the infrastructure already in place for waste management. Traditional waste receptacles, requiring manual operation and lacking fill-level monitoring, present public hygiene risks and cause logistical inefficiencies. The emergence of the Internet of Things (IoT) and embedded automation technologies has introduced intelligent solutions to address these challenges. This paper provides a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
-
DESIGNING AND ANALYSIS OF DIFFERENT TYPES OF FINS IN AIR COOLED ENGINE
Abstract: This paper is dedicated to the study of various shapes of extended surfaces, commonly known as fins, which are used on cylinder heads of internal combustion engines. Extended surfaces are used to improve heat dissipation from the object by increasing its effective surface area. Efficient heat dissipation is very important since proper cooling of an engine cylinder head helps to maintain optimal working temperatures, improves engine performance, increases service life, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 33–79 Read article
-
A Comprehensive Review on the Role of Antacids in the Management of Stomach Disorders
Abstract: Antacids are among the most widely used over-the-counter medications for the symptomatic management of acid-related gastrointestinal disorders, including dyspepsia, gastroesophageal reflux disease (GERD), gastritis, and peptic ulcer disease. These agents provide rapid relief by neutralizing gastric hydrochloric acid, thereby increasing intragastric pH and reducing mucosal irritation. In addition to their therapeutic benefits, the long-term and excessive use of antacids may be associated with adverse effects and toxicological concerns, including electrolyte …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 Read article
-
TELEVISION MEDIA AND ROUTINE LIFE OF RURAL SOCIETY IN PUNJAB: A SOCIOLOGICAL INSIGHT
Abstract: The present study deals with the interface of the modern technologies especially the information and communication technologies that have greatly influenced the societies especially the rural society in Punjab. In this, we have delved deeper to understand the idea that how television has influenced the daily routine life of the rural people in Punjab and how under the influence of the content shown over the screen leads them to draw …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 18–25 Read article
-
Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
-
Overcoming Obstacles to an HIV-1 Cure: Advances in Genome Editing, Immune System Reprogramming, and Viral Reservoir Elimination
Abstract: Human immunodeficiency virus type-1 (HIV-1) continues to represent a major global health challenge despite the remarkable success of antiretroviral therapy (ART). Although ART effectively suppresses viral replication and prolongs survival, it cannot eradicate the virus due to the persistence of long-lived latent reservoirs. In recent years, innovative therapeutic strategies have been explored with the aim of achieving either a functional remission or complete viral elimination. Advances in genome-editing technologies, particularly …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
-
Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
-
Tailoring the Compressive Behavior of Tetrachiral Auxetic Structures Through FDM Process-Parameters
Abstract: This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetrachiral auxetic structures created from Polylactic Acid (PLA). Auxetic materials have several useful properties, including reversible deformation and high-energy absorbing capabilities, which are beneficial to creating ultra-lightweight structural, protective, and shock-resistance designs. Among the available auxetic topologies, the tetrachiral configuration is particularly attractive for engineering use, because its rotation-dominated node–ligament deformation gives a negative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 58–70 Read article
-
Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal–polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 36–47 Read article
-
Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
-
Copper Sulfide Semiconducting Nanoparticles for Antibacterial Applications: Synthesis Strategies, Mechanisms and Performance – A Review
Abstract: Copper sulfide nanoparticles (CuS NPs) have drawn growing attention as a next-generation antibacterial platform, owing to their tunable structural, optical, and catalytic properties. This review consolidates current evidence on CuS NP synthesis, mechanisms, and antibacterial performance, comparing chemical and green synthesis routes alongside the effects of morphology, doping, and surface modification. Mechanistically, CuS NPs act through several overlapping pathways, including reactive oxygen species generation, bacterial membrane disruption, ion release, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 236–253 Read article
-
The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
-
Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
POLYMER AND COMPOSITE-BASED GEOSYNTHETIC REINFORCEMENTS FOR SEISMIC STABILITY OF SOIL RETAINING STRUCTURES: MATERIALS, MECHANICS, AND PERFORMANCE REVIEW
Abstract: Geosynthetic materials based on polymer and composites have become important items for the structural performance and seismic resilience of the reinforced soil retaining systems. Mechanically stabilized earth walls in recent geotechnical engineering practice are increasingly based on enhanced polymeric reinforcements for enhanced tensile strength, durability, flexibility, and energy dissipation under dynamic loading. High-density polyethylene, polypropylene, polyester, and fiber-reinforced polymer composites are usually used. The present review focus on the recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article