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1946 articles for “Friday AI-2.0” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Structure-Property-Process Relationships in BNNS-Modified PEEK Nanocomposites for High-Performance Applications
Abstract: This study reports the design and performance evaluation of boron nitride nanosheet (BNNS)-reinforced polyetheretherketone (PEEK) nanocomposites fabricated using melt compounding and high-temperature Fused Filament Fabrication (FFF). PEEK, a high-performance thermoplastic, was reinforced with BNNS at 0.5–5wt.% to enhance mechanical, thermal, and tribological functionalities for advanced engineering use. Composite filaments were extruded and printed using a modified Bambu Lab FFF printer. Mechanical testing revealed a peak tensile strength of 108 MPa …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–888 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Mechanical and Sustainable Enhancement of Epoxy Composites using Tamarind Seed Powder
Abstract: The investigation examines how tamarind seed powder affects epoxy-based materials for the development of waste-based useful products. The research examines the mechanical behavior of epoxy resin composites which contain tamarind seed powder in increasing percentages spanning from 10% to 40%. The team utilized the hand layup method to produce the composites which then fulfilled the ASTM guidelines for specimen fabrication for mechanical tests. The study examined fundamental mechanical parameters by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 797–806 Read article
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An Overview of Smart Cities in India using Technology and Sustainable Development of Society
Abstract: This paper examines India's "Smart Cities Mission," which aims to create sustainable and livable urban centers through innovative technology solutions. A smart city uses data from electronic devices and sensors to improve the efficiency of essential services, improve infrastructure, and manage urban areas better. This model represents progress in several key areas, including smart governance, smart economy, smart environment, smart living, smart people, and smart mobility. For a developing country …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 1–12 Read article
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Combustion Synthesis and Comprehensive Characterization of Pure and Ni-Doped CuFe₂O₄ Nanoparticles for Functional Composite Applications
Abstract: The CuFe2-xNixO4 (x = 0, 0.1, 0.3, and 0.5) nanoparticles were synthesized using a combustion method and comprehensively characterized to understand their suitability for polymer-based composite applications. X-ray diffraction confirmed the formation of a single-phase spinel ferrite structure with crystallite sizes of 20–30 nm. Energy-dispersive X-ray spectroscopy verified the successful incorporation of Ni ions into the CuFe₂O₄ lattice, while FE-SEM analysis revealed uniformly dispersed nanoscale particles desirable for composite reinforcement. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Effect of Fiber Weight Fraction on the Mechanical Performance of Calotropis Gigantea Fiber-Reinforced Polyester Composites
Abstract: Natural fiber-reinforced composites have attracted more attention as environmentally friendly substitutes to synthetic materials since the move towards a sustainable approach to engineering materials has gained in popularity. This paper focuses on the potential use of Calotropis gigantea (CG) stem fibers as laminate reinforcement with bio-composites made through an unsaturated polyester resin (GP) system. Super strength fibers were pulled out, treated with alkaline to boost interfacial adhesion, and positioned in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 339–349 Read article
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Bioinspired Nanocomposite Bone Pins: Fabrication, Evaluation, and Suitability for Orthopedic Implant Applications
Abstract: Bone tissue engineering (BTE) requires scaffolds that mimic bone’s mineral–organic composition, offering mechanical strength, bioactivity, and degradation rates compatible with regeneration. Conventional metallic implants face corrosion and toxic ion release risks, while ceramics like hydroxyapatite (HAp) are bioactive but brittle. This study reports a multifunctional hybrid scaffold combining HAp for osteoconductivity; polycaprolactone (PCL) and collagen for flexibility and biocompatibility with sodium citrate for nanoparticle dispersion, ferrocene (Fc) for catalytic bioactivity; …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 526–540 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Effect of Ply Orientation on Thermal Erosion and Conductivity of Silica Phenolic Composites Under Oxy-Acetylene Flame
Abstract: The thermal and erosion performance of fiber-reinforced composites is highly sensitive to fiber architecture, matrix chemistry, and processing techniques, factors that have shaped development of advanced thermal protection systems (TPS) over past two decades. Silica phenolic (SP) composites, in particular, are widely employed in aerospace and defense applications due to their flame resistance, char stability, and ability to withstand severe thermal shock. However, optimizing thermal conductivity while improving erosion resistance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 273–283 Read article
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Emerging Digital Trends in Virology Software: Optimizing Viral Discovery, Surveillance,and Patient Management.
Abstract: Virology and antiviral therapeutics are being reshaped by rapid advances in computational tools, automation platforms, and virus-focused digital health applications. Software systems now span the entire virology value chain, from in silico viral target identification and antigen design, to AI-supported clinical trial management for vaccines and antivirals, to post-marketing pharmacovigilance and patient-facing mobile tools. This review examines current and emerging software trends relevant to virus studies, emphasizing applications in viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 29–38 Read article
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Optimizing Parameters for Dry Sliding Wear Control in Stir-Cast AA7050/SiC Composites
Abstract: Using a pin-on-disc tribometer, this study examined the dry sliding wear behavior of AA7050/SiC composites. The production of this metal matrix composite was achieved through the stir-casting process, which involved an initial step of melting the AA7050 alloy, followed by the careful introduction of silicon carbide (SiC) particles, stirring to achieve uniform dispersion, and finally, casting the molten mixture. Wear rate (WR) was determined by three operational parameters: SiC reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1624–1635 Read article
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Urban Green space Site Suitability analysis of Angul City, Odisha – A Geospatial Approach
Abstract: The urban ecological system is crucial for human survival in cities. Residents receive various services directly or indirectly from the functions of ecosystems, known as ecosystem services. Heat stress in urban areas can be particularly harmful, as the negative effects of increasing urbanization lead to significant temperature changes that impact both vulnerable species and human health. While there are several methods, such as modifying roof materials and using lighter colors, …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 Read article
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Mental Health in the Post-Pandemic Era (COVID-19): Community-Based Interventions for Resilience and Well-Being
Abstract: Background: The COVID-19 pandemic has had a major psychological effect, causing anxiety, depression, stress, and social disruption around the world. Community-level mental health programs have become widely available methods for promoting resilience and mental well-being, especially in resource-limited contexts. Aim: The aim was to assess the effectiveness of community-based mental health interventions in promoting psychological resilience and overall well-being in the post-pandemic period. Methodology: A cross-sectional, mixed-method, community-based study was …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
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Integrated Assessment of Soil Health Through Macronutrient Status and Physico-Chemical Properties in Selected Agricultural Blocks of Kangra District, Himachal Pradesh, India
Abstract: Soil health is a critical determinant of agricultural sustainability, particularly in ecologically sensitive Himalayan regions where intensive cultivation and heterogeneous landscapes influence nutrient dynamics. Balanced macronutrient availability, together with favourable physico-chemical properties, governs crop productivity, soil resilience, and long-term ecosystem functioning. Despite the agronomic importance of Kangra District (Himachal Pradesh), localized assessments integrating nutrient status with physico-chemical indicators across representative agricultural blocks remain limited. This study aimed to evaluate soil …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 27–33 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Spatiotemporal Modeling of Soil Erosion Under Agricultural Expansion in the Amravati Basin, India Using RUSLE–GIS
Abstract: Agricultural expansion and soil erosion are important environmental issues in areas where agriculture is a major source of livelihood. This study analyzes the spatial and temporal patterns of soil erosion in the Amravati Basin of Maharashtra and evaluates the impact of agricultural expansion using the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information System (GIS) techniques. Multi-source data, such as satellite imagery, rainfall records, soil characteristics, and topography …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 50–62 Read article
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Metabolic Syndrome in Psoriatic Patients: A Cross-Sectional Study
Abstract: Background: Psoriasis is a chronic immuno-inflammatory disease affecting the skin and joints. Studies have demonstrated an increased prevalence of conventional cardiovascular risk factors such as diabetes mellitus, hypertension, and metabolic syndrome in these patients. The aim of this study was to determine the association between psoriasis and metabolic syndrome. Material and Method: An observational cross-sectional study was carried out between November 2023 and October 2024, including participants with and without …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 17–23 Read article