Search
1948 articles for “Matter–Life–Mind Interaction” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
-
Closing the Loop: Innovative Strategies for Circular Economy and Sustainable Waste Management
Abstract: Africa’s growing waste crisis, especially in rapidly expanding cities across Nigeria, has made it increasingly clear that traditional “take–make–dispose” systems can no longer support sustainable development. This paper explores how shifting to a circular economy (CE) can transform waste from a persistent challenge into a valuable resource. Instead of seeing waste as an endpoint, the circular economy model encourages designing products for longer lifespans, rethinking consumption patterns, and recovering materials …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 123–139 Read article
-
DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
-
Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
-
A Review on Microbial Enzymes in the Food Industry: Current Innovations and Future Prospects
Abstract: Over the past few decades, microbial enzymes have become indispensable biocatalysts in food production, fundamentally revolutionizing how we approach manufacturing processes while simultaneously enhancing the quality of what we produce. Today, approximately 200 of the 4,000 known enzymes are deployed commercially with proteases, amylases, lipases, and lactases leading the charge in industrial food applications. This review brings together the latest innovations in how we use microbial enzymes for food processing, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 43–53 Read article
-
Role of Social Media in General Elections 2024 in India
Abstract: The role of social media in the 2024 general elections in India is poised to be a transformative force, significantly impacting political communication, voter engagement, and campaign strategies. With nearly one-third of the electorate having consistent access to social media, this election marks a critical juncture in Indian democracy, reflecting the rapid evolution of digital platforms as vital tools for political outreach and discourse. This shift follows a historical trajectory …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 50–60 Read article
-
Optimizing Grazing Systems for Promoting Early Puberty in Dairy Heifers: An Integrated Nutritional Perspective
Abstract: The onset of puberty in dairy heifers is a critical milestone in ensuring optimal reproductive performance and overall herd productivity. Grazing systems, when strategically managed, may play a significant role in accelerating puberty through their influence on nutritional intake and heifer management practices. This review explores the impact of different grazing systems on the nutritional status of dairy heifers, emphasizing the balance between nutrient supply and demand during critical growth …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
-
Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
-
A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–7 Read article
-
Autonomous Agent Contracts for Adaptive Supply Chains
Abstract: This paper proposes a novel agent-driven, on-chain coordination layer for manufacturer–distributor–retailer handoffs that automates release, transfer, receipt, and state validation across the supply network. This approach combines belief–desire–intention (BDI) agents with narrowly scoped smart contracts to capture role responsibilities, capacity checks, and escalation policies. It aims to enhance conformance, traceability, and cycle-time reliability without relying on central intermediaries. This proof of concept links supply chain states—such as production-ready, packaged, listed, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 52–60 Read article
-
Comparative Study on Oro Dispersible Tablets of Candesartan Cilexetil Formulated with Natural and Synthetic Disintegrants
Abstract: Candesartan cilexetil, a BCS class II drug with low aqueous solubility and poor bioavailability (15%), poses challenges for oral delivery. To address this limitation, the present study focuses on polymer-based inclusion complexation and composite formulation strategies to enhance solubility and dissolution behavior. The drug was incorporated into β-cyclodextrin (β-CD), a cyclic oligosaccharide polymer, by the kneading method in different drug-to-carrier ratios. Among these, the 1:1 molar ratio complex exhibited the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 687–695 Read article
-
Structure–Property Relationships in Poly (N isopropylacrylamide) Hydrogels: Toward Thermoresponsive Polymer Composites
Abstract: Poly(N-isopropylacrylamide) (PNIPAAm) hydrogels can shift from solid to gel and back again at body temperature. Due to their lack structural integrity, thermal stability, and mechanical strength, they are difficult to use. This study mixed PNIPAAm with biocompatible fillers like chitosan and silicon nanoparticles to create hydrogels with superior structure-property correlations. Free radical polymerization with ammonium persulfate/TEMED initiator and N,N′-methylenebisacrylamide crosslinker produced the composites. Scanning electron microscopy showed a denser, interconnected …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 884–895 Read article
-
ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
-
A Brief Review on Interfaces of Copper Welded to Different Materials
Abstract: In engineering applications, three metals with high conductivity are primarily used such as copper (Cu), aluminium (Al), and silver (Ag). Each has its unique set of properties that affect specific engineering applications. Infact the choice of conductor depends on a mixture of cost, technical parameters, and environmental conditions. Among these, Copper is widely valued in engineering applications due to its antimicrobial property, excellent electrical (about 100% IACS) and thermal conductivity, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–36 Read article
-
A Study on Tensile Characterization of Polypropylene Reinforced with Recycled Epoxy Particles
Abstract: Polypropylene is a thermo plastic, tensile properties of polypropylene are crucial in the real world applications as they determine structural integrity and durability. Epoxy is a thermosetting plastic finds applications in various fields like aerospace, automobile, food packing etc. A major concern is the disposal of epoxy composites after their service life, since most of the waste is sent to landfills, causing land pollution and soil infertility. In this experimental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 221–237 Read article
-
Cancer Chemotherapy-Induced Cachexia: Bridging Mechanisms, Management, and Future Therapies
Abstract: Involuntary weight loss, skeletal muscle atrophy, adipose tissue depletion, anorexia, and systemic inflammation are all symptoms of chemotherapy-induced cachexia, a complex illness. Although it is common, it remains poorly understood and is often referred to as an "orphan disease." This study covers the epidemiology, pathophysiology, clinical symptoms, diagnosis, treatment, and emerging treatment options for chemotherapy-induced cachexia. To comprehend the causes, clinical results, and therapeutic approaches, a literature-based synthesis of recent …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 17–26 Read article
-
A Detailed Review on Traditional v/s Modern Education: Navigating the Path to Learning
Abstract: This abstract compares traditional and modern education methodologies, analyzing their respective approaches, strengths, and weaknesses. Traditional education, characterized by face-to-face instruction, textbooks, and standardized testing, emphasizes rote learning and adherence to established curriculum. In contrast, modern education integrates technology, interactive learning tools, and personalized approaches to foster critical thinking, creativity, and adaptability. While traditional education provides a structured framework and cultural continuity, modern education addresses diverse learning styles and prepares …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 67–74 Read article
-
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
-
Advancing Pavement Durability and Sustainability through Glass Fiber Reinforced Concrete Technology
Abstract: This research evaluates the application of Glass Fiber Reinforced Concrete (GFRC) for improving road pavement durability and sustainability. The primary objective was to ascertain the optimal glass fiber content that enhances pavement performance while maintaining economic feasibility. To achieve this, experimental investigations compared the mechanical properties of GFRC to traditional Portland Cement Concrete (PCC). The experiments focused on key performance metrics such as tensile, compressive, and flexural strengths, with GFRC …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 760–774 Read article
-
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