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630 articles for “performance assessment”
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Performance and Robustness of Wind Turbine Blades Composed of Recovered Waste Carpet Fiber Polymer Composites
Abstract: Carpets stay in good condition for ten to fifteen years, after which they wear out and are discarded. The large amount of used carpet waste is often dumped in landfills, causing health risks, air pollution, and other environmental problems. To reduce the growth of landfill sites, it is essential to implement recycling measures for carpet waste, protecting the environment by reusing these materials in new products. Carpet are made from …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 53–66 Read article
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Optimization of Window Sizes based on Different Climatic Conditions
Abstract: Different climatic conditions have an impact on a building's performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building's energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 1, 2023 · pp. 33–43 Read article
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Role Strain Among Male Nursing Students in Selected Nursing Colleges in Mangalore
Abstract: Background: The role is the behavior that is expected out of a person in a particular status. Social standards influence the advantages and responsibility of a status, and roles are performed in accordance with social standards. Role strain is the stress that occurs if they are not able to meet the expected role in their life and are facing inequalities in their profession. Objective: To assess the role strain among …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
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Development and Characterization of Antimicrobial Polymer Composites for Food Packaging Applications
Abstract: The increasing demand for sustainable and antimicrobial food packaging materials has led to extensive research in polymer-based composites. This study focuses on developing a polyethylene terephthalate-ethylene vinyl acetate (PET-EVA) composite reinforced with metal oxide nanoparticles (MONs), including Cu₂O, ZnO, and MgO₂. These nanoparticles were selected for their antimicrobial properties and ability to enhance the functional characteristics of the composite. Structural, chemical, mechanical, and barrier properties were extensively evaluated to determine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 86–93 Read article
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Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance
Abstract: Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics. This manuscript proposes a practical end-to-end framework for educational AI/ML projects, covering problem definition, data engineering, modeling, evaluation, intervention design, and responsible governance. To provide a complete and reproducible template without exposing sensitive student data, we present a synthetic demonstration study that mirrors typical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Design and Characterization of High-Performance Polymer Nanocomposites for Aerospace Applications
Abstract: Polymer nanocomposites have revolutionized aerospace materials through mechanical strength, thermal stability, and lightness. A number of polymer matrices filled with nanofillers such as carbon nanotubes, graphene, and nanoclay considerably improved structural integrity, flame resistance, and environmental adaptability. However, fabrication techniques are still being optimized so that nanofillers are properly dispersed throughout, which may create contradictions between mechanical strength and process ability. This work tries to design and characterize high- performance …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 178–193 Read article
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Dynamic Analysis of Structures Considering Waffle Slab with and without Drops and Beams
Abstract: The seismic performance of a structure is a fundamental and vital aspect of structural engineering, carrying significant importance in ensuring safety and stability. This study investigates the dynamic behavior of structures employing waffle slab designs with and without drops and beams, focusing on varying panel sizes. Commercial buildings, each comprising 12 stories with heights of 3.5 meters, were analyzed using the Response Spectrum Method in seismic Zone III, utilizing ETABS …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 41–60 Read article
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Cell Balancing in Lithium-ion Batteries – A Comparative Evaluation
Abstract: Balancing the cells within a battery system is essential for safeguarding against overvoltage, overcharge, and over-discharge, which can lead to system failures and safety hazards. Two commonly employed methods for cell balancing are passive and active balancing. In passive balancing, excess charge is dissipated through resistors, while active balancing involves the controlled flow of charge within the circuit. This paper focuses on the comparison and analysis of passive and two …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 37–45 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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Experimental Findings of the EDM Process Parameters for Metal Matrix Composites
Abstract: The process of electrical discharge machining (EDM) shapes hard metals and creates intricately formed, deep holes in a variety of electro-conductive materials by arc erosion. With regard to material removal rate (MRR) in metal matrix composite EDM, this study intends to examine the impacts of operational factors. The material removal rate generated is used to assess the efficacy of the metal matrix composite EDM process. It has been noted that …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 14–18 Read article
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Tribological Characteristics of Dental Crowns
Abstract: Dental tribology is an emerging field that focuses on improving the design and material choices for artificial dental systems. This paper looks at different dental crown materials, their clinical efficacy and the consequences of tribological wear on teeth due to interfacial movement. Ceramics are commonly utilized in fixed dental restorations because of their superior mechanical and cosmetic qualities, which include exceptional fracture resistance and clinical endurance. Ceramic crowns, often used …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 550–559 Read article
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Exploring the Therapeutic Potential of Phytochemicals in Aloe Barbadensis Miller Through Molecular Docking for Ulcerative Colitis Management
Abstract: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by mucosal inflammation of the colon, often associated with immune dysregulation and oxidative stress. Natural compounds have gained significant attention as alternative therapeutic agents due to their efficacy and minimal side effects. Quercetin, a flavonoid abundantly found in Allium cepa (onion), has demonstrated potent anti-inflammatory and antioxidant properties. This study employs an in silico approach to evaluate the therapeutic potential …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 06–12 Read article
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Image-Based Evaluation of Implant Tissue Interface Integrity in Polymer Orthopaedic Devices
Abstract: Polymer orthopedic implants offer radiolucency and mechanical compatibility with bone, but long-term success depends on maintaining a stable implant–tissue interface. Routine imaging is widely available for follow-up, yet interface integrity is commonly judged qualitatively, limiting early detection of fixation compromise and reducing comparability across devices and time points. This work presents an image-based methodology to quantify interface integrity by extracting interpretable interface descriptors from a standardized interface belt around the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 170–179 Read article
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Performance Evaluation of Eco-friendly Cutting Fluid in Machining Process—An Approach towards Environmentally Friendly Production
Abstract: The machining industry's evolving environmental consciousness has prompted a growing demand for cutting fluids devoid of chlorine and sulphur, thus fostering sustainable machining practices. This surge in demand is driven by mounting apprehensions over environmental contamination and worker safety. As the industry transitions to modern cutting fluids, it becomes imperative to comprehend their effectiveness and the optimal machine parameters required for their deployment in the turning process. In our current …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 149–160 Read article
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Investigations of Mechanical Testing and its Effects on Lithium Ion Battery and Battery Pack for Electric Vehicle Application
Abstract: This research delves into the comprehensive study of mechanical testing methodologies and their consequential impact on the structural integrity, safety, and performance of Lithium-Ion batteries (Li-ion) and battery packs designed for electric vehicle (EV) applications. The investigation aims to enhance the understanding of mechanical stressors' influence on the reliability and safety of energy storage systems crucial for the sustainable advancement of electric mobility. The paper opens with mechanical testing protocols …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 35–49 Read article
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Influence of ZycoTherm Dosage on Polymer Modified Bitumen and Marshall Performance of Hydrated Lime Incorporated Warm Mix Bituminous Concrete
Abstract: This study examines the effect of ZycoTherm on PMB 76-10 binder characteristics and the performance of PMB-based Bituminous Concrete (BC) Grade-II prepared at reduced mixing temperatures, with and without hydrated lime. PMB 76-10 was modified with ZycoTherm at dosages of 0.05%, 0.10%, 0.15%, and 0.20% by weight of binder and evaluated using conventional and residue-based tests. Increasing ZycoTherm dosage decreased penetration, while softening point, flash point, and elastic recovery increased, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 256–267 Read article
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Predictive Learning Powered by AI and Sophisticated Student Engagement Techniques
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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Comparison Study of Non-Alcoholic Sanitizer and Alcohol Based Sanitizer
Abstract: Hand sanitizer is the best choice to maintain the hand hygiene and stopping the spread of infectious diseases. The active ingredient in traditional hand sanitizers is usually alcohol, but worries about flammability, skin irritation, and possible abuse have prompted the creation and growing popularity of alcohol-free substitutes. The purpose of this review is to objectively assess the safety, effectiveness, and usefulness of alcohol-free hand sanitizers. To successfully eradicate germs, alcohol-free …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 11–22 Read article
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Nanoparticle-Based Early Diagnostic Tools for Tuberculosis and Malaria in Rural India
Abstract: Malaria and Tuberculosis continue to be two major public health challenges in rural India. The interplay between an inefficient health care system, late diagnosis, and under-identification of cases contributes to the high morbidity and mortality associated with TB and Malaria. Conventional methods, such as sputum microscopy for TB, microscopy and rapid diagnostic tests (RDTs) for malaria, have a higher benchmark of sensitivity that requires a certain amount of time, skilled …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 45–51 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article