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1387 articles for ““SPA””
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Mechanical & Tribological Characterization of Al2024-Alumina-Graphite Reinforced Monolithic and Hybrid Composites
Abstract: This work investigates the mechanical characteristics of Al2024-Al2O3-Graphite reinforced monolithic and hybrid composites fabricated by the stir casting method. Exploratory work involved the fabrication of monolithic composites with varying Al2O3 contents (5-8 wt%) and hybrid composites with the ratios of Al2O3 (2-6 wt%) and Graphite (1-3 wt%) in matrix Al2024. For improving their dispersion, preheated reinforcement particles were introduced in matrix alloy at controlled stirring rates. A homogeneous particle distribution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 823–836 Read article
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Linguistic Minimalism in Digital Communication: The Shrinking of Language in Hyper-Speed Communication Environments
Abstract: The digital revolution has fundamentally transformed linguistic practices, precipitating what we term "linguistic minimalism"—the systematic reduction of language to essential semantic components in hyper-speed communication environments. This research examines how contemporary digital platforms have catalyzed a contraction in linguistic expression through abbreviations, semantic compression, emoji symbolism, and strategic silence. Drawing on discourse analysis, pragmatics, and social semiotics, this study explores four interconnected dimensions: emojis and GIFs as primary meaning carriers, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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A Mini Review of Synthesis and Applications of Functionally Graded Materials
Abstract: Material composition or microstructure varies gradually along the thickness over a specific volume in functionally graded material (FGM) that results in spatial change in properties like thermal conductivity, strength, stiffness, electrical, magnetic, and light properties, etc. Application of the concept of FGM leads to a single product that has multiple properties in it as demanded by the operational or functional requirements of the product under service conditions. It also allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 54–65 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 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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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Evaluating Fiber Volume Fraction and Defects in Fiber Reinforced Polymer Composites for T Joint applications
Abstract: Fiber-reinforced polymer (FRP) composites have been integral to industries such as aviation, aerospace, shipbuilding, and automotive due to their strength, durability, lightweight, and corrosion resistance. This study examines the production and microstructural analysis of polymer composites using FRP and manual lamination methods. While manual lamination is quick and economical, it relies on operator skill, resulting in low mechanical properties. Microstructure analysis via 3D optical and scanning electron microscopes revealed that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1222–1235 Read article
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Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Nano‑Enabled CT for Cancer Imaging: From Molecular Targeting to Image‑Guided Therapy
Abstract: Nano‑enabled computed tomography (CT) exploits high‑atomic‑number (high‑Z) nanomaterials engineered with targeting ligands and therapeutic payloads to enhance contrast, enable molecular imaging, and support image‑guided interventions in oncology. Tumor‑specific nanoprobes such as RGD‑modified gold nanorods, polymer‑coated bismuth nanoparticles, and peptide, antibody, or aptamer‑functionalized platforms can intensify tumor conspicuity, allow early lesion detection and staging, and provide real‑time treatment monitoring. Integration of CT visibility with photothermal, photodynamic, chemo‑, radio‑, and immunotherapeutic functions …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 40–49 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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Eco-Sustainable Walnut–Hemp Reinforced Composites for Automotive Brake Applications
Abstract: The search for natural fiber-reinforced composites that can be used instead of manmade materials has been sparked by the growing need for eco-friendly materials in car brake systems. The study looks at three types of Walnut–Hemp Reinforced Friction Composites (WFRCs): WFRC-1, which is 10% walnut and 20% hemp; WFRC-2, which is 15% walnut and 15% hemp; and WFRC-3, which is 20% walnut and 10% hemp. Aspects like tensile strength, compressive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 439–448 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Recent Trends in Heavy Metal Pollution of Groundwater: A Review
Abstract: Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation. Rapid industrialisation, urban expansion, intensive agriculture, mining activities, and improper waste disposal have significantly increased the release of heavy metals into subsurface environments. Groundwater, being a primary source of drinking water in many regions, is particularly vulnerable to contamination, posing serious risks to human health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 14–24 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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The Parasitic Fingerprint: Tracing Infection to Host Illness
Abstract: Parasitic infections remain a major global health burden, causing significant morbidity and mortality, particularly in tropical and subtropical regions. A critical aspect of disease pathogenesis is the unique molecular and cellular imprint left by parasites in their hosts, termed the “parasitic fingerprint.” These fingerprints encompass parasite-derived proteins, nucleic acids, metabolites, extracellular vesicles, and host responses, including gene expression changes, cytokine profiles, and metabolic adaptations. Advances in multi-omics technologies, which integrate …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 29–50 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article