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180 articles for “performance evaluation”
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Optimal Design of Solar Roof Top Photovoltaic Plant Under Various Operating Conditions
Abstract: As conventional energy sources are quickly exhausted, the need to switch to sustainable alternatives has never been more urgent. The transition from conventional energy resources to renewable sources, particularly solar energy, has emerged as a pivotal step towards sustainable development This paper explores the advantages of solar power plants, with a focus on rooftop solar installations. Installing solar panels on a roof is revolutionizing the industry. The design phase of …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 35–45 Read article
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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
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Targeting Homogentisate Dioxygenase Dysfunction in Alkaptonuria: Investigating Curcuma longa’s Therapeutic Potential
Abstract: Objectives: Alkaptonuria is known to have a faulty gene HGO in the metabolic process. In the present research work, the focus is towards investigating the therapeutic capabilities of the Curcuma longa upon the faulty Homogentisate dioxygenase gene using ligand-protein binding, which would assist in the corrective tyrosine metabolism. Methods: This study is based on the computational approach using different phytochemicals for evaluation of the potency against the abnormal Homogentisate dioxygenase …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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Designing for Indoor Air Quality: Using Plants and Ecofriendly Materials
Abstract: This study’s main objective is examining passive design techniques that optimize energy efficiency, such as natural ventilation, daylighting, and thermal insulation. It explores their potential to reduce energy consumption and enhance occupant comfort while minimizing reliance on mechanical systems. Sustainability is a key focus throughout the study, highlighting the importance of adopting sustainable practices in the design and construction industry. The research explores strategies for reducing environmental impact, minimizing waste, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 13–20 Read article
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Evaluating AI-Driven Adaptive Learning Models in Mathematics: A Contemporary Perspective
Abstract: Artificial Intelligence (AI) continues to transform mathematics education through data-driven personalization and adaptive learning technologies. This study investigates how AI-enabled adaptive platforms influence student performance and engagement in mathematics classrooms. Using a quantitative approach across two institutions, pre- and post-assessment results were compared between students using AI-assisted adaptive learning tools and those receiving conventional instruction. The findings reveal that AI-driven learners demonstrated significantly higher gains in conceptual understanding and engagement …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Molecular Docking Studies of Nyctanthes arbor-tristis Phytochemicals for Targeting TNF Receptor in Arthritis
Abstract: Rheumatoid Arthritis is an autoimmune disorder which results in inflammation. Tumor necrosis factor-alpha (TNF-α) is responsible for the progression of inflammatory arthritis by promoting immune cell activation and cytokine release. The present study explores the potential of bioactive compounds derived from Nyctanthes arbor-tristis (Parijat) in modulating TNF receptor activity through molecular docking. Computational methods were employed to evaluate the binding affinity of selected phytocompounds from N. arbor-tristis against the extracellular …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Impact of Assistive Technologies in Academic Evaluation for Students with Specific Learning Disabilities Studying in Secondary Schools of Koshikode District, Kerala
Abstract: The inclusion of assistive technologies (AT) in academic assessment has made the learning experience of students who have specific learning disabilities (SLDs) much more fruitful. This paper discusses the effects of text-to-speech (TTS) and speech-to-text (STT) as applied in the academic performance of secondary school students with SLDs in Kerala regarding their effectiveness in improving their examination performance, understanding, and confidence. This method was a mixed design, which required 30 …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 1–8 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Aagainst Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Against Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 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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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Effects of Tendon Gliding Exercises on the Speed of Handwriting Among Female UG Students: Pilot Study
Abstract: Background: Handwriting is an intricate function which requires the combination of fine motor skills, visual and motor coordination abilities, and concentration. Handwriting involves two main movements: horizontal wrist motion and vertical finger movements, along with a rightward translation of the entire arm. Handwriting speed is an important factor in a student’s academic performance, particularly in fields such as statistics. The strength and flexibility of hand muscles can significantly influence writing …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Evaluation of Modified Nanoparticles' Effects on Polypropylene Composites
Abstract: Numerous sectors use nanoparticles and nanocomposites in a range of applications, including medicine, textiles, cosmetics, agriculture, optics, food packaging, optoelectronics, semiconductors, aerospace, building materials, and catalysis. Polymeric nanocomposites, which combine organic polymers with inorganic nanoparticles, are a novel family of materials that perform better than their microparticle counterparts. They should therefore enhance the field of engineering applications. A polymer matrix's characteristics can be drastically changed by the addition of inorganic …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 23–34 Read article
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Pharmacophore mapping, 3D QSAR, docking, and ADME prediction studies of novel Benzothiazinone derivatives
Abstract: Background Tuberculosis is a major public health concern worldwide which is caused by Mycobacterium tuberculosis. DprE1 (Decaprenyl Phosphoryl Ribose 2’- Epimerase) is the most challenging target for development of novel anti- tubercular agents because it is a small protein and located into cytoplasmic membrane. So, novel anti-TB drugs did not bound effectively with it. DprE1 catalyzes the oxidation of the 2’ hydroxyl group of DPR (Decaprenyl Phosphoryl D- Ribose) …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 59–82 Read article
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Extended Focused Assessment with Sonography for Trauma (eFAST): A Comprehensive Strategy for Trauma Assessment
Abstract: Trauma is the principal cause of mortality in individuals under 45 years old, with 80% being due to blunt trauma and most deaths arising from hypovolemic shock. Intraperitoneal bleeding occurs in 12% of these cases, making swift identification of trauma critical. The ideal diagnostic test should be fast, accurate, and non-invasive. The adoption of point-of-care ultrasound has profoundly influenced the management and evaluation of trauma patients. This discussion outlines the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 27–33 Read article
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A study to assess the effect of nutritional supplementation on the hemoglobin level and the associated signs and symptoms of the students identified with anaemia in selected colleges of SNDT Womens’ University Mumbai
Abstract: The purpose of this study was to assess the effects of nutritional supplements on haemoglobin levels and related symptoms among students at SNDT Women's University in Mumbai who had been diagnosed with anaemia in a few particular institutions. Non-occurrence A sample of thirty anaemic students was selected via easy sampling. With a one-group pre-test-post-test methodology, the study used a descriptive evaluative design. Data collecting instruments included measurement devices, opinion questionnaires, …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 16–25 Read article