Search
380 articles for “Relevance”
-
Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
-
A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
-
A Cross-Sectional Study to Find Out the Incidence and Associated Risk Factors of Pressure Injury Acquired in the ICU Unit at Pt. B.D. PGIMS, Rohtak
Abstract: Pressure injuries, also known as pressure ulcers or bedsores, remain a major concern in intensive care units (ICUs) due to their adverse impact on patient outcomes and healthcare quality. This study aimed to assess the incidence and associated risk factors of pressure injuries among patients admitted to the ICU at Pt. B.D. Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak. A descriptive cross-sectional design was adopted, and data were …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 7–41 Read article
-
Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
-
Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
-
Polymers In Low-Resource Biomedical Innovation: Maker Labs, DIY Devices and Ethics
Abstract: The low-cost biomedical devices have been prototyped and sometimes put into practice by maker laboratories and community "DIY" (Do-It-Yourself maker) innovators due to the fast-growing availability of polymer-based fabrication (desktop 3D printing, laser cutting, and simple molding). Nowadays, polymers such as PLA, PETG, TPU, and PEEK are used in a wide range of applications, including surgical guides and anatomical models, as well as assistive technology and diagnostic housings. Such innovations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 108–119 Read article
-
MHD-Assisted Flow Regulation of Viscoelastic Polymer Fluids for Industrial Cooling and Composite Fabrication with Isotherml Plates
Abstract: This study investigates the magnetohydrodynamic (MHD) regulation of viscoelastic polymer fluid flow over a permeable plate, emphasizing its relevance to industrial cooling and composite fabrication. An incompressible, electrically conducting viscoelastic fluid is analyzed under a transverse magnetic field with Hall and ion-slip effects to capture electromagnetic alterations in polymer transport. The governing non-dimensional equations for momentum, temperature, and concentration are solved analytically using the perturbation method. The results show that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 851–866 Read article
-
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
-
Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
-
A Legal Analysis of Contract Negotiations in Professional Sports
Abstract: Contract negotiations are crucial aspect of professional sports, involving complex legal considerations and complex interactions between athletes, agents and team owners. This article provides a comprehensive legal analysis of contract negotiations in professional sports, examining the role of collective bargaining agreements, individual player contracts, and agent-player relationships. Through a critical examination of relevant statutes, case law and collective bargaining agreements, this article identifies key principles and trends shaping contract negotiations …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 31–45 Read article
-
Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
-
AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
-
A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
-
Evaluation of Mechanical Properties of Arecanut Fiber Reinforced Epoxy Composite
Abstract: This study investigates the mechanical performance of arecanut fiber-reinforced epoxy composites, aiming to evaluate their potential for sustainable industrial applications. Arecanut husk fibers, an agricultural waste product, were selected for their natural abundance and biodegradability. To enhance fiber-matrix bonding, the fibers were chemically treated with sodium hydroxide (NaOH), which effectively removes lignin, hemicellulose, and other impurities, improving surface roughness and interfacial adhesion. The treated fibers were then incorporated into an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 389–400 Read article
-
Understanding India’s Sustainable Land Management Research Landscape: Productivity, Collaboration, and Emerging Themes (2016–2025)
Abstract: Sustainable Land Management (SLM) has emerged as a critical research domain in India due to increasing land degradation, climate variability, population pressure, and competing land-use demands. Understanding the evolution, structure, and impact of scholarly research in this field is essential for guiding future research and policy interventions. This study presents a comprehensive scientometric assessment of India’s SLM research output during the period 2016–2025. Bibliographic data comprising 1,560 records were retrieved …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 17–27 Read article
-
Green and Edge-Aware Computing: Rethinking Cloud Infrastructure for Sustainability
Abstract: Cloud computing has transformed the way organizations access and manage information technology resources, providing flexible, scalable, and cost-efficient services that support today’s data-driven world. Despite these advantages, the rapid expansion of large-scale cloud infrastructures has resulted in rising energy consumption, significant heat generation, and a growing environmental footprint. This research focuses on advancing green cloud computing by examining methods that reduce power usage while maintaining high performance. Key strategies include …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 17–24 Read article
-
Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
-
A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
-
Emerging Digital Trends in Virology Software: Optimizing Viral Discovery, Surveillance,and Patient Management.
Abstract: Virology and antiviral therapeutics are being reshaped by rapid advances in computational tools, automation platforms, and virus-focused digital health applications. Software systems now span the entire virology value chain, from in silico viral target identification and antigen design, to AI-supported clinical trial management for vaccines and antivirals, to post-marketing pharmacovigilance and patient-facing mobile tools. This review examines current and emerging software trends relevant to virus studies, emphasizing applications in viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 29–38 Read article
-
Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article