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97 articles for “tool life enhancement”
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Enhancing Sustainability in Building Design: Optimizing Energy Efficiency and Reducing Carbon Footprint Using BIM Tools and Polymer Matrix Composites
Abstract: Sustainable construction is an imperative that transcends the immediate and future horizons of the construction industry, propelled by the escalating recognition of the sector's ecological impact. Building Information Modelling (BIM) has firmly established itself as a pivotal instrument within the industry due to its unique capacity to seamlessly merge the physical and analytical dimensions of construction, thereby ushering in transformative practices. This research paper offers an all-encompassing exploration of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 181–189 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article
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Emerging Engineered Nanoweapons for Tumors
Abstract: Cancer is a type of disease characterized by abnormal growth of cells which tend to proliferate in uncontrolled manner. It occurs at molecular level when genes undergo genetic alterations. The malignant growth of tumor cells results in non-functioning of the concerned organ. Over the years, cancer targeting technique has greatly improved by new approaches based on nanotechnology. Nanotechnology is helpful in development of new therapies against cancer. Nanotechnology is a …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 2, 2012 · pp. 1–6 Read article
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GeoPrompt: A Mobile Applications Reminder System Based on Location
Abstract: In today’s fast-paced environment, maintaining organization and order is more critical than ever. Traditional paper reminders, though useful, often fall short of meeting the efficiency demands of modern life. While mobile phone reminders are commonly used, they are typically time-based and cannot address tasks that require attention at specific locations. To address this gap, we present “GeoPrompt-A Mobile Application Reminder System Based on Location,” a cutting-edge Android app that improves …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Impact of Pelvic-Floor Muscle Training on Stress Urinary Incontinence – A Narrative Review
Abstract: Background: Urinary incontinence (UI), characterized by the unintentional loss of urine, is a common health issue among women globally. Stress urinary incontinence (SUI) is the most frequently reported type and can adversely affect daily activities and overall well-being. Various contributing factors, including obesity, pregnancy, and advancing age, are associated with its occurrence. Pelvic-floor muscle training (PFMT) is commonly advocated as a primary conservative management strategy for SUI. Objective: To evaluate …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 · pp. 1–8 Read article
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A Study to Evaluate Mothers’ Perceptions and the Effectiveness of an Awareness Program Aimed at Enhancing Knowledge About Behavioral Issues in Primary School Children Within a Specific Community in Haldwani, Uttarakhand
Abstract: Background: Behavior is perceived in society as how an individual presents themselves in various situations. As a child grows, their development encompasses biological, psychological, and emotional changes that occur from birth. The parent-child relationship also evolves through daily, reciprocal interactions in different relational domains, such as attachment and authority, which lay the foundation for future interactions. These exchanges can significantly influence a child’s development across various areas, including emotional, physical, …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 9–13 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Leveraging Management Frameworks and Academia-Industry Collaboration for Enhanced Efficiency and Productivity in Startups
Abstract: Startups play a maternal role in the getaway of innovation and subsequently, economic growth, but all the while have a plethora of challenges against operational efficiency and productivity. This research thereby proceeds to leverage management frameworks on two of the difficult periods in a startup's lifespan: pre-opening and post-opening. The pre-opening phase has been characterized by emphasis upon strategic planning and market analysis. The industry dynamics, competitive positioning, or issues …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 7–14 Read article
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Effect of a Multi-Component Intervention on the Quality of Life of Breast Cancer Patients Undergoing Chemotherapy in a Selected Oncology Centre
Abstract: Breast cancer remains the most commonly diagnosed cancer among women globally and continues to be a leading cause of cancer-related mortality among females. In India, it has become the most prevalent cancer among women, with a noticeable rise in incidence annually. The growing burden of breast cancer highlights the urgent need for effective supportive care strategies that address not only the physical but also the emotional and psychosocial well-being of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article
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The Role of Augmented and Virtual Reality in Enhancing Education and Training
Abstract: Virtual reality (VR) and augmented reality (AR) are emerging as powerful tools that are transforming the way education is delivered and experienced. Unlike traditional teaching approaches that often rely heavily on textbooks, lectures, and passive learning, these technologies create highly interactive and engaging environments that allow students to actively participate in the learning process. By providing immersive experiences, VR and AR bridge the gap between theoretical knowledge and practical application, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Nuclear Power as a Clean Energy Future: A Review
Abstract: The global push for decarbonization necessitates a diverse energy portfolio, and nuclear power, once a subject of intense debate, is re-emerging as a potential cornerstone of a clean energy future. With its capacity for baseload power generation and minimal greenhouse gas emissions during operation, nuclear energy offers a compelling substitute for fossil fuels, particularly in a world grappling with climate change. However, challenges remain regarding safety, waste disposal, and economic …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–11 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Advances in Polymer-Based Materials for Dental Applications: A Case Study on PVC and Ceramic Coatings in Digital Mouth Mirrors
Abstract: Polymeric materials play a crucial role in modern dentistry, providing improved mechanical properties, biocompatibility, and enhanced functionality in dental instruments. These materials contribute significantly to the advancement of dental tools, ensuring durability, safety, and efficiency. This study explores the application of polyvinyl chloride (PVC), ceramic coatings, and anti-fog polymer layers in the development of a digital mouth mirror. The integration of these materials results in enhanced durability, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 244–252 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article