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700 articles for “LAWS – (Lethal Autonomous Weapons”
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Static Structural Analysis and Bridge Modeling Using ANSYS
Abstract: Structural analysis is a crucial discipline within civil engineering that ensures built structures are safe, durable, and capable of performing the functions for which they are intended. This scientific approach is essential for confirming that all safety requirements are met, thereby allowing structures to fulfill their purpose efficiently and economically over their design lifespan. The principles of structural analysis originate from the collaborative efforts of engineers across various domains, all …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 27–32 Read article
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Self-Healing Polymer Composites for Pharmaceutical Packaging Applications
Abstract: Pharmaceutical packaging plays a crucial role in ensuring the safety, stability, and effectiveness of pharmaceutical products. Conventional polymer-based packaging materials are prone to mechanical damage, microcracks, and environmental degradation, which can compromise drug integrity. Self-healing polymer composites (SHPCs) offer a promising solution by enabling autonomous or stimuli-responsive repair mechanisms that restore packaging integrity, enhance durability, and extend product shelf life. These materials function through intrinsic mechanisms, such as dynamic covalent …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 648–658 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Cancer as one of the major diseases rank in the World is still very challenging to diagnose and treat hence need for the technological advancements. Chemotherapy, radiation, as well as surgery therapies have several drawbacks including non-selective action, damage to healthy tissues, and multi-drug resistance. Smart nano-theranostics, an advanced integration of nanotechnology with diagnostic and therapeutic modalities, offers a next-generation approach for precision oncology. Thus, the development of multifunctional nanoparticles …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Assessing the Socioeconomic Impacts of Land Tenure Systems Across Different Regions
Abstract: Land tenure systems are fundamental in shaping the socioeconomic structure and dynamics of communities across the globe. These systems, which define the legal and customary relationship between individuals, groups, and the land they own, use, or occupy, hold significant implications for economic development, social equity, and environmental sustainability. They determine how land resources are accessed, managed, and transferred, thereby influencing economic activities, wealth distribution, and community stability. This article provides …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 24–27 Read article
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Self-Healing Polymer Nanocomposites: A Comprehensive Review of Design Strategies, Mechanisms, and Emerging Applications
Abstract: Self-healing polymer nanocomposites (SHPNs) are a new class of materials that can autonomously repair themselves to prolong their lifetime and improve their application performance. Herein, we provide a comprehensive overview of the design strategies, healing mechanisms, and emerging applications of SHPNs. Incorporating nanofillers (nanoparticles, nanofibers, and/or nanotubes) into polymer matrices leads to requisite functionalization that significantly enhances mechanical properties and is essential in self-healable products including improved cross-linking, high dispersion, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 281–293 Read article
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Innovations in Polymer Chemistry for Smart Composite Materials in Building Applications
Abstract: Driven by the need to reduce maintenance costs and environmental impacts, researchers have developed smart polymers that not only sense damage but also autonomously respond to external stimuli such as temperature, mechanical stress, and light. In the built environment, these advanced polymers—particularly shape memory polymers (SMPs)—offer unique self-healing, self-sensing, and adaptive properties that enhance the durability, safety, and energy efficiency of structures. The emergence of smart polymers marks a significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 699–707 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article
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The Study of Preference on Skill-Based Training Among Household Women in Gudalur Town
Abstract: This study explores the need for skill-based training among women in households in Gudalur town, identifying preferred training types, choice-influencing factors, and participation barriers. Skill development is a critical component of women's empowerment, promoting financial autonomy and social mobility. Surveys were conducted with 50 women, who were chosen using a stratified random sampling method. The survey comprised demographics, most preferred training courses, perceived benefits, and participation barriers. Descriptive statistics was …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Variation In Wave Steepness and Wave Age-A Case Study in The Arabian Sea from Buoy Measurements During Post-Monsoon
Abstract: The National Institute of Ocean Technology (NIOT) moored buoy measurements in the Central Arabian Sea (AS) at AD07 location (68.87 E, 15.07 N) during the year 2015 are utilized to understand wind and wave growth characteristics at this location during the post- monsoon season covering the three-month period from October to December (OND). The wave direction followed the wind from Northeast while the swells were predominantly from the Southern Indian …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 10–21 Read article
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Green Energy and its Essential for Future World
Abstract: The ability of an object to change shape or transfer to another object is known as its energy; It is a fundamental property that drives physical processes and transformations. Energy exists in various forms such as kinetic, potential, thermal, and chemical. It cannot be created or destroyed, only transformed from one form to another or transferred between systems. This principle, known as the law of conservation of energy, is central …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 1–10 Read article