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1948 articles for “Matter–Life–Mind Interaction” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Digital and Sustainable Innovations for Zero-Waste Manufacturing
Abstract: The integration of digital technologies and sustainable practices in manufacturing is crucial for addressing global issues like resource depletion, pollution, and waste. Zero-waste manufacturing has emerged as a transformative approach to minimize environmental impact and boost production efficiency. This paper explores how digital and sustainable innovations support this goal. Industry 4.0 technologies— such as IoT, AI, Big Data, and robotics—enable real-time monitoring, predictive maintenance, and optimized resource use. Sensors and …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 34–42 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Investigative Study of Next Generation Socio-Technical Systems in E-Commerce
Abstract: The evolution of e-commerce has entered a transformative phase characterized by the integration of advanced socio-technical systems that fundamentally reshape how businesses and consumers interact in digital marketplaces. This review examines the emerging paradigms of next-generation socio-technical systems in e-commerce, encompassing artificial intelligence, blockchain technology, immersive experiences, and human-centered design principles. Through a comprehensive analysis of recent literature and technological developments, this study investigates how these systems create synergies between …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 27–33 Read article
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Metals and Minerals in Pharmacy: Current Trends, Biomedical Applications, and Future Innovations
Abstract: Metals and minerals have played important roles in medicine for centuries, ranging from the use of simple mineral powders in traditional therapies to the development of modern metal-based drugs and nanomaterials. In recent years, advancements in material science, nanotechnology and pharmaceutical engineering have expanded the biomedical relevance of inorganic materials far beyond their conventional use as excipients. This review highlights the growing integration of metallic and mineral systems into pharmaceutical …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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NutriHeart with Chatbot
Abstract: Heart disease stands as one of the world's principal reasons for human deaths since it causes major preventable fatalities each year. Healthcare institutions currently explore machine learning (ML) integration for establishing new approaches toward predicting, and acting ahead of healthcare developments. NutriHeart presents an AI-based platform that accomplishes cardiovascular risk detection early and extends heart wellness by delivering customized nutritional and lifestyle recommendations. Using Support Vector Machines (SVM) along with …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 22–34 Read article
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A Comprehensive Review on Nanostructured Polymer Composites for CT Imaging Contrast Enhancement in Brain Tumor Diagnosis
Abstract: The detection and characterization of brain tumors require high-resolution and non-invasive imaging modalities that have the ability of differentiating tumorous tissues and healthy brain tissues. Computed tomography (CT) can be included in this number because, in addition to providing speedy scans and penetration to deep tissue, the diagnostic capability in soft tissue organ such as the brain is poor despite low natural contrast. The review is dedicated to the emerging …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 148–162 Read article
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Residential Sanctioned Load Monitoring and Controlling Using PLC & SCADA
Abstract: Efficient load monitoring and control are crucial for managing energy resources in various industrial and commercial applications. Sanctioned load, which refers to the maximum permissible electrical load imposed by authorities or utilities, needs to be closely monitored and controlled to ensure compliance and optimize energy usage. Programmable Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA) systems offer reliable and efficient solutions for monitoring and control in industrial and …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 7–11 Read article
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Marine Algal Microfiber and Agro-Waste Reinforced Crosslinked Polymer Composites for Sustainable Coastal Materials
Abstract: Crosslinked bio-polymer composites reinforced with marine algal microfibers and agro-waste fillers were fabricated and systematically characterized for sustainable coastal applications. Mechanical testing revealed that tensile strength increased from 18.5 MPa for neat polymer to 25.1 MPa at 20 wt.% reinforcement (~35% improvement), while the flexural modulus improved from 0.72 GPa to 1.02 GPa (~42% increase). Impact strength, however, decreased from 3.8 kJ/m² for neat polymer to 2.9 kJ/m² at 30 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 210–223 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Classification and Comparison of Routing Protocols in Wireless Sensor Networks
Abstract: Recent developments and the overlap of multiple technologies, including distributed signal processing, ad-hoc network routing protocols, embedded systems, integrated circuits, micro electro-mechanical systems, microprocessor hardware, and nanotechnology, have rendered the idea of Wireless Sensor Networks (WSNs) possible. Sensor network nodes are finite with regard to energy, processing capability, and communication bandwidth. Yet, since they can vary with respect to the application and network structure, the routing protocols have received the …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 35–44 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Sustainable Waste Management Using AI and Robotics
Abstract: The fast increment in squander era around the world has driven to noteworthy natural and open wellbeing concerns. Conventional squander administration strategies, which depend intensely on manual labor and obsolete forms, are battling to keep up with the developing volume, driving to wasteful aspects and environmental harm. AI and Mechanical autonomy give inventive arrangements by improving effectiveness in squander collection, sorting, reusing, and transfer. AI-driven squander sorting frameworks optimize exactness, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 42–48 Read article
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Innovative Polymer Nanocomposites: Bridging Sustainability and Advanced Material Performance
Abstract: This study examines the evolution of bio-based polymer nanocomposites using eco-friendly synthesis methods to improve mechanical, thermal, and barrier properties. It involves the combination of sustainable synthetic polymers with natural polymers in the presence of nanofillers in a green and compatible fashion to generate durable nanocomposites. Optimal alignment of nanofillers with the polymer matrices can be achieved using solvent casting, melt blending, and in-situ polymerization as fabrication methods. Consequently, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1671–1679 Read article
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Immune Dysregulation and Cytokine Circuitry in Genital Endometriosis: Mechanistic Insights and Next-Generation Immunotherapeutic Strategies
Abstract: Genital endometriosis is increasingly recognized as an immune-mediated inflammatory disorder driven by complex interactions between dysregulated immune cells, cytokine hubs, and microbiome-derived modulators. This review introduces a novel “immune–cytokine circuitry” framework that unifies innate and adaptive immune abnormalities with key cytokine loops sustaining chronic inflammation, angiogenesis, neuroinflammation, and immune tolerance. Within this circuitry, macrophage polarization, dendritic cell immaturity, NK-cell anergy, Treg expansion, Th17 amplification, and B-cell–mediated autoimmunity converge to establish …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 06–16 Read article
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An Overview of Microbial Diversity in the Functions of Wetland Ecosystems
Abstract: Wetlands serve as abundant reservoirs of biodiversity, crucial for the well-being of both humanity and the natural world. They represent the most critical and fertile ecosystem, where water predominantly dictates the environment and the plant and animal species that inhabit it. Wetlands have diverse microbial flora and fauna, which play essential roles in ecosystems. Soil and aquatic microorganisms mediate many processes, such as biogeochemical cycles, waste decomposition, symbiotic relationships, and …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 1–14 Read article
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Unlocking Novel Drug Targets and Therapeutic Advancements Against RNA Viruses: Insights from HMPV and SARS-CoV-2
Abstract: Re-emerging RNA viruses pose a significant epidemiological welfare threat due to their high mutation rates, potential for zoonotic transmission, and capacity to cause widespread outbreaks such as Human Metapneumovirus (HMPV), Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), Influenza, etc. The rapid evolution and re-emergence of these viruses necessitate the development of novel drug targets and therapeutic strategies to combat existing and future outbreaks. This study focuses on structural as well …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 54–86 Read article
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An In-depth Analysis of Cyberattacks and Cybersecurity: New Trends and Advancements
Abstract: At present, a significant portion of global economic, commercial, cultural, social, and governmental activities and interactions, including those involving individuals, NGOs, and state institutions, takes place in cyberspace. In recent times, many businesses and government agencies around the world have been facing the growing challenge of cyberattacks and the risks associated with wireless communication technologies. As modern society becomes increasingly dependent on digital technologies, protecting sensitive information from cyber threats …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 31–38 Read article
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Overview of the Relationship of Chemical Behavior to Electron Structure of Group VII Elements in the Periodic Table
Abstract: This article examines the intriguing relationship between the chemical properties and electron configurations of Group VII elements, known as halogens: fluorine (F), chlorine (Cl), bromine (Br), iodine (I), and astatine (At), which are located in the periodic table. These elements possess a common electron arrangement characterized by seven electrons in their outermost energy level. This shared arrangement is fundamental to their unique reactivity patterns. As one moves down the group, …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 2, 2025 · pp. 43–58 Read article
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Demonstrative Research of Group VII Elements of the Periodic Table: Characteristics and Properties of Chemical Behavior
Abstract: The elements in Group VII, commonly referred to as halogens, are non-metals that exhibit similar chemical characteristics and a high level of reactivity, which can be attributed to their electron configuration. This paper seeks to provide an overview of the relationship between the electron structure and chemical behavior of the Group VII elements found in the periodic table. The primary goals include elucidating how the electron configuration influences the physical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 2, 2025 · pp. 18–26 Read article