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522 articles for “Industry 5.0 framework” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Patellar Mobility in Elite Swimmers of Jorhat Swimming Society: A Cross-Sectional Study
Abstract: Background: Patellar mobility is vital for swimmers, affecting leg propulsion and injury risk. Understanding its role in swimming biomechanics enhances insights into knee stability and performance across different strokes. Aim: To assess patellar mobility in elite swimmers of Jorhat Swimming Society, Jorhat, Assam. Purpose: To explore the relationship between patellar mobility and swimming stroke styles, specifically focusing on knee biomechanics during the stroke. Methodology: A cross-sectional study involving 27 elite …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Development and evaluation of multigrain pasta
Abstract: Pasta is one of the most consumed food among the food products prepared from cereals due to low cost, ease in preparation along with pleasant textural and sensory characteristics. This study was performed to prepare multigrain pasta by utilising the numerous health benefits of wheat, chickpea, kodo and ragi flour. Each ingredient was selected according to unique nutritional attributes which will be incorporated in pasta to make it more nutritious …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 · pp. 34–47 Read article
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Exploring Sustainable Fuel Production from Waste: A Feasibility Study in Zimbabwe
Abstract: Some organisms are in danger of going extinct, and environmental pollution from waste plastics, tires, and used lubricating oils has significantly contributed to the decline of biodiversity. Tires, plastics, and spent oil all contribute significantly to environmental deterioration, and this issue has been linked to improper treatment and disposal of these materials. Only 15% of the 200 auto technicians surveyed for this study acknowledged that they reuse spent oil, 5% …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 30–38 Read article
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A Role of Ergonomics in Advanced Manufacturing Systems: A Harmonious Blend of Human and Machine
Abstract: The integration of human and machine elements in advanced manufacturing systems (AMS) necessitates a careful consideration of ergonomic principles to ensure the well-being and performance of the workforce. This paper explores the critical role of ergonomics in AMS, focusing on physical, cognitive, and organizational aspects. By optimizing the interaction between humans and technology, ergonomics aims to reduce musculoskeletal disorders, improve worker satisfaction, and enhance overall system efficiency. The paper delves …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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A Study to Evaluate Nurse Led Intervention Regarding Home Care Management Among Tuberculosis Patients Attending Chest and TB OPD at PGIMS Rohtak
Abstract: Introduction: Tuberculosis is an infectious bacterial pathogen caused by the bacillus called Mycobacteriumtuberculosis, an acid-fast rode shaped bacillus 0.8–5 μm in length and 0.2–0.6 μm in thickness. Tuberculosis (TB) primarily impacts the lungs (pulmonary TB), but it can also affect other parts of the body (extra-pulmonary TB). It spreads through the air and causes damage to the lungs and various other organs. TB is a significant public health issue in …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 31–36 Read article
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Assessing the Effectiveness of Vocational Education and Training (TVET) in Preparing Students for the Workforce in Liberia
Abstract: Training in Vocational and Educational Training (TVET) is important for students as it enables them to gain practical skills for employment. In Liberia, the main concern of TVET programs is the increasing supply needs for skilled workers in different industries Liberian industries. This research seeks to explore the effectiveness of these programs in Liberia in relation to employment and self-employment opportunities from the 833 respondents distributed across various TVET institutions. …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 31–38 Read article
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Advances in Laser Hardening: A Review on Techniques, Trends and it’s Applications
Abstract: This review paper examines laser hardening, an advanced surface treatment method, and its impact on automotive components. By analyzing findings from numerous studies, the paper categorizes various laser hardening techniques and evaluates the effect of parameters like speed of scanning , power of laser and beam diameter on material performance. Special attention is given to the microstructural changes and wear resistance enhancements achieved through laser hardening, highlighting its precision and …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Next-Generation mRNA Therapeutics: Self-Amplifying, Thermostable and Personalized mRNA Vaccines in the Era of Precision Medicine
Abstract: Messenger RNA (mRNA) technology has brought a major change in modern medicine, especially after its successful use in COVID-19 vaccines. However, early mRNA vaccines faced several problems such as low stability, strict cold storage requirements, and lack of personalized treatment. To overcome these challenges, next-generation mRNA technologies have been developed, including self-amplifying mRNA (saRNA), thermostable mRNA vaccines, and personalized mRNA vaccines. This article discusses the development of mRNA therapeutics, the …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 38–54 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, though celebrated for its creativity and artistic freedom, often carries considerable psychological demands on performers. Beyond the physical rigor, dancers navigate pressures of performance standards, audience expectations, and internalized goals of perfection. This study examined how self-efficacy—an individual’s belief in their own capability—shapes the experiences of anxiety and perfectionism among dancers, with a particular focus on gender differences. A balanced sample of 120 dancers (60 males …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 37–44 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Assessing Digital Literacy among the Oraon Tribe of Jharkhand: A Study
Abstract: Digital literacy is essential for inclusion and socioeconomic empowerment in the digital era. This study examines the digital literacy levels of the Oraon tribe in Jharkhand, with a focus on identifying skill gaps, demographic disparities, and barriers to digital access. A mixed-methods approach was employed to gather data from respondents in the Ranchi district, utilizing structured questionnaires and interviews. Male respondents made up the majority (61.5%), with the largest age …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 06–12 Read article
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Challenges And Constraints Affecting Female-Owned Rural Farm Businesses in Plateau State, Nigeria
Abstract: This study examined the challenges and constraints affecting female-owned rural farm businesses in Plateau State, Nigeria. No prior study had conducted a comprehensive, quantitative, state-wide investigation covering all 17 local government areas (LGAs) of the state, and this study addressed that gap. The objectives were to identify the challenges faced by female-owned rural farm businesses, assess their relationship with business performance, and determine how strongly these challenges predicted performance outcomes. …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 1–13 Read article
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Integrative Structural-Functional Genomics of Fc and Fab: Precision Models for Monoclonal Antibody Stability and Anti-Aggregation Engineering
Abstract: Monoclonal antibodies (mAbs) represent the cornerstone of biotherapeutics, yet aggregation propensity compromises up to 50% of candidates during development, driven by Fab hypervariability and Fc vulnerabilities.(1,2) This review integrates functional genomics from OAS (4B+ sequences)(5) and structural databases (SAbDab: 10K+ structures)(6) with machine learning models achieving R=0.97 for SAP prediction.(11) We dissect biophysical mechanisms, benchmark predictive tools (DeepSP, ESM2), and engineering strategies (YTE, FW mutations) that enhance Tm by 5-10°C …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article