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308 articles for “Method validation”
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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The Evaluation of the Light Parameters and Pleural Fluid Cholesterol to Determine the Differences Between Exudative and Transudative Pleural Discharge
Abstract: Background: Pleural effusion occurs when an imbalance between pleural fluid production and absorption leads to the accumulation of excess fluid in the pleural cavity. Pleural effusions are commonly classified into two types: transudative or exudative, depending on the underlying mechanism of fluid formation. While transudates typically result from systemic factors like heart failure or liver cirrhosis, exudates are usually caused by local factors such as infection, malignancy, or inflammation. Differentiating …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 30–35 Read article
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Effect of Welding Factors on Nugget Size of Polymer-Metal Composite Sheets Using Computational Methods
Abstract: Resistance spot welding (RSW) is a vital technique for joining materials in industries like automotive and aerospace. This study extends the application of RSW to polymer-metal composite sheets by developing 2D axisymmetric, thermo-electro-mechanical coupled model in ANSYS. The focus is on analyzing the temperature distribution, nugget formation, and parameter optimization in hybrid composite sheets, emphasizing the unique challenges posed by polymers' thermal and electrical properties. These properties differ significantly from …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 612–623 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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Design and Analysis of Honeycomb Rear Door Map Pocket by Application of Finite Element Method
Abstract: In modern automobiles, the door trim plays a vital role in both functionality and occupant safety. It integrates various convenience features such as armrests, power window switches, and map pockets, while also contributing to crash energy absorption during side impacts. In such collisions, the occupant's body typically contacts the door trim, making its design and material selection critical for minimizing injury through controlled deformation and energy dissipation. This research focuses …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 940–951 Read article
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Role of Prey Refuge in Predator-Prey Dynamics with Nonlinear Functional Responses: A Mathematical Approach
Abstract: The Beddington-DeAnglis and Holling type II functional response with prey refuge are used in this study to propose and assess a prey-predator system. This study looks at the ecological effects of prey refuge and how it affects predator-prey relationships, highlighting how functional responses influence population dynamics. The dynamical behavior of the model has been shown, which consist the existence of positivity, boundedness, local stability, and global stability. In addition, stability …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 523–537 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Polymer-Coated Composite Granules of Clarithromycin: Design, Characterization, and Functional Evaluation for Taste Masking and Antibacterial Performance
Abstract: Background: Masking the unpleasant taste of clarithromycin is essential to improve patient adherence, especially among pediatric and elderly groups. However, enhancing palatability while maintaining its antibacterial effectiveness remains a significant formulation challenge. This study focused on developing polymer-coated clarithromycin granules (B1–B10) using novel non-sugar-based polymers and assessing their antibacterial activity against Staphylococcus aureus Methods: Clarithromycin granules were produced using a fluidized bed coating technique with non-saccharide polymers, specifically Eudragit E-100 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1042–1050 Read article
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An Investigation to Evaluate the Awareness of Obesity and Its Long-term Consequences Among Adolescents from a Chosen Higher Secondary School in Bagalkot
Abstract: Using descriptive research methodology and a descriptive survey strategy, teenagers from a selected higher secondary school in Bagalkot were asked to rank their awareness of obesity and its long-term implications. To satisfy the objectives of the study and assess teenagers’ knowledge of obesity in light of the nature of the issue, a systematic, self-administered knowledge questionnaire was created. Interaction with guides and experts in the nursing and medical domains verified …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 33–37 Read article
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A Cost-Effective Fast Cell Balancing Technique for Lithium- Ion Batteries using a Single DC–DC Converter with Direct Energy Transfer
Abstract: A novel quick lithium-ion battery balancing method with a single DC-DC converter for facilitating the direct energy transfer process in low and high voltage cells is introduced in this research work. Cost effectiveness in the design of the switch network is achieved by the use of relays in switching the cells. A control circuit including an MCU and a battery management IC is used for the sensing of cell voltages …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Supervision of College Management Using Database Management System
Abstract: The college management system is a software application created with C programming and file handling methods. It serves as a centralized platform for overseeing diverse aspects of college operations, encompassing student details, course information, faculty records, enrollment management, attendance monitoring, grade administration, reporting, and administrative functions. It is designed to efficiently manage student, course, and faculty information in a college setting. The system utilizes files for data storage and conducts …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 1–7 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
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A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes
Abstract: Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Mechanical & Tribological Characterization of Al2024-Alumina-Graphite Reinforced Monolithic and Hybrid Composites
Abstract: This work investigates the mechanical characteristics of Al2024-Al2O3-Graphite reinforced monolithic and hybrid composites fabricated by the stir casting method. Exploratory work involved the fabrication of monolithic composites with varying Al2O3 contents (5-8 wt%) and hybrid composites with the ratios of Al2O3 (2-6 wt%) and Graphite (1-3 wt%) in matrix Al2024. For improving their dispersion, preheated reinforcement particles were introduced in matrix alloy at controlled stirring rates. A homogeneous particle distribution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 823–836 Read article
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Investigating the Influence of Process Parameters on Photochemical Machining of Phosphor Bronze Alloy Microchannels
Abstract: Microchannels are widely employed in microfluidic devices, biomedical systems, and compact heat exchangers, where their functional efficiency depends strongly on surface finish, dimensional control, and edge quality. Traditional machining techniques often face limitations in producing such features with the required precision, prompting the use of advanced micromachining methods. In the present work, photochemical machining (PCM) has been applied to fabricate serpentine-shaped microchannels in phosphor bronze. The study systematically investigates the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 837–846 Read article
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In Silico Molecular Docking of Indigofera tinctoria Phytocompounds to Target EGFR/ERK and FGFR/FGF Pathway Proteins Involved in Prostate Cancer
Abstract: Objective: Prostate cancer being the second major cause of cancer-related deaths in males, affects the small walnut-shaped gland below the bladder called the prostate gland. The epidermal growth factor protein (EGFR), cascade protein (ERK), and fibroblast growth factor proteins (FGFR and FGF) are involved in the different signaling pathways that lead to the formation of different products, that are responsible for the progression of cancer and thus can be considered …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 34–56 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article