Search
843 articles for “Structure-Based”
-
Interfacial Bonding and Performance of Polymer-Based CFRP Composites in Externally Applied Configurations
Abstract: Polymer-based carbon fiber reinforced polymer (CFRP) composites are widely used for externally bonded strengthening and retrofitting applications due to their high strength-to-weight ratio and adaptability to existing structures. In such systems, overall performance is governed not only by the fiber–matrix interaction within the laminate, but more critically by the polymer adhesive layer and its interaction with the substrate. Polymer chemistry, interfacial bonding mechanisms, processing conditions, and environmental exposure collectively influence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 952–966 Read article
-
Enhancing Breastfeeding Practices Through a Biopolymer-Based Educational Intervention
Abstract: Background: Breastfeeding difficulties are common among new mothers, and knowledge gaps can contribute to these challenges. Educational interventions hold promise in improving breastfeeding practices. This study aimed to evaluate the effectiveness of a biopolymer-based educational intervention in enhancing mothers' knowledge and practices regarding breastfeeding problems and their prevention. Methods: A quantitative pre-post-test design was employed with a sample of 54 postnatal mothers in a multispecialty hospital. A biopolymer-based educational intervention …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 114–118 Read article
-
A Sustainable and Green Prototyping Framework for Low-carbon and Resource-efficient Virtual Product Development
Abstract: The increasing emphasis on sustainable manufacturing has intensified the need for environmentally responsible design and development methodologies for polymer and polymer-composite materials, where material selection, processing routes, and waste generation play a critical role in overall environmental impact. This paper presents a Sustainable and Green Prototyping (SGP) framework that integrates Virtual Prototyping (VP), Life Cycle Assessment (LCA), and multi-objective optimization to systematically reduce carbon footprint, energy consumption, and material waste …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 459–471 Read article
-
Support of Knowledge-oriented Business Processes through Workflow Management Systems
Abstract: A major challenge in implementing business process-related knowledge management is to encourage employees to participate in knowledge processes. On the one hand, the educational work should be integrated harmoniously into the work context and, on the other hand, information must be presented and actively distributed as needed. In order to be able to introduce systematic knowledge management in companies, the design dimensions that a knowledge management project encompasses must first …
Published in E-Commerce for Future & Trends Read article
-
Safety Analysis of High Rise Buildings
Abstract: In the construction sector, safety and accidents are important factors that have a big impact on the well-being of workers, project schedules, and project overall expenses. In addition to being required by law, putting safety first in construction is a wise strategic move with broad ramifications. The comparative safety study of high-rise structures presented in this work focuses on assessing how safety precautions, construction costs, and project schedules interact. The …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 1, 2024 · pp. 22–34 Read article
-
Revolutionizing Fundraising: The Power of Blockchain Crowdfunding
Abstract: Crowdfunding is a powerful fundraising method that leverages the financial contributions of many individuals to support various projects and ventures, typically facilitated through online platforms. It encompasses different models tailored to specific goals. In reward-based crowdfunding, contributors get non-monetary incentives, which aids in creating community involvement. Conversely, equity-based crowdfunding grants investors a share in the company, promoting a collective feeling of ownership. Blockchain technology is revolutionizing crowdfunding by offering a …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
-
Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 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
-
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
-
A Pre-Experimental Study to Evaluate the Effectiveness of a Planned Teaching Program on Knowledge Regarding the Disposal of Plastic Waste and Its Health Hazards Among Adults in Ghotawde Village of Kolhapur District
Abstract: Background: Plastics are widely used due to their low cost, durability, and versatility; however, their non-biodegradable nature poses serious environmental and health hazards. Improper disposal of plastic waste contributes significantly to pollution and adverse health outcomes, especially in rural communities where awareness may be limited. This study aimed to assess the effectiveness of a structured teaching program on adults’ knowledge about plastic waste disposal and its associated health hazards in …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 64–96 Read article
-
A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
-
Kinetics of Crystallization and Microstructural Evolution of Commercial Fluorophlogopite Machinable Glass- Ceramics in the System SrO∙4MgO∙Al2O3∙ 6SiO2∙2MgF2 with Varying in B2O3
Abstract: Glass materials based on fluorophlogopite stoichiometry with varying concentrations of B₂O₃ were synthesized using the melt-casting method, followed by heat treatment at different crystallization temperatures. The resulting glass and glass–ceramic samples were characterized using differential thermal analysis (DTA), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy. Kinetic analysis revealed that the activation energies required for the formation of glass–ceramics were 192.77 kJ mol⁻¹ and 210.47 kJ …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 1–16 Read article
-
AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
-
Thermal Stability and Impact Performance of Basalt–Carbon Hybrid Laminates in Polyimide–Phenolic Matrices
Abstract: The impact resistance and thermal stability of the advanced polymer composites are properties that are necessary for the components that are subjected to dynamic conditions, which show the overall reliability and service performance of the laminates applied in automotive structures, protective casings, etc. These properties prevent premature softening or breakdown during long-term exposure to heat. Impact resistance and thermal stability of composite laminates are studied based on fiber orientation and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 247–260 Read article
-
Evaluating Pain and Quality of Life Improvement in Endometriosis: A Prospective Interventional Study
Abstract: Background: World-wide about 10% of reproductive-age women affects with endometriosis, drastically reducing their quality of life. This study assessed the effectiveness of a combination medicinal and lifestyle intervention approach in controlling endometriosis-related pain and enhancing quality of life. Methods: A prospective interventional study was conducted with 350 women diagnosed with endometriosis between August 2022 to September 2024. Participants received a structured intervention combining hormonal therapy, pain management, and lifestyle modifications. …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 38–45 Read article
-
Advancements in Photocatalysis: Applications in Environmental Remediation
Abstract: The study of radioluminescence, a phenomenon where materials emit light upon exposure to ionizing radiation, has expanded significantly in recent years, finding applications in various fields, including environmental remediation, radiation detection, and dosimetry. This paper reviews recent advancements in radioluminescent technologies, particularly focusing on Radioluminescent Isotope Cells (RLICs) and semiconductor colloidal quantum dots (cQDs). The use of RLICs, particularly those based on 63Ni, demonstrates enhanced energy conversion efficiency through optimized …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 39–44 Read article
-
Sustainable Epoxy Composites Enhanced by Cellulose Nanocrystals for Structural and Thermal Applications
Abstract: This study presents the advancement and behaviour analysis of sustainable nanocomposites reinforced with cellulose nanocrystals (CNCs), a biodegradable and high-aspect-ratio nanofiller derived from microcrystalline cellulose. CNCs were incorporated into a bisphenol-A-based epoxy matrix at varying concentrations (0, 1, 3, 5, and 7 wt%) to assess their influence on mechanical, thermal, and viscoelastic properties. The tensile strength of the composites increased significantly, from 45 MPa for neat epoxy to 65 MPa …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 126–134 Read article
-
Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
-
Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
-
Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article