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865 articles for “structural system”
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AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production
Abstract: As polymer composite processes become more difficult and environmental concerns increase, old supply chain models that just look at cost and operations have shown significant weaknesses when it comes to sustainability. The rising demand for environmentally friendly practices throughout a product’s life cycle requires a new process that makes sustainability a key element in making supply chain choices. The proposed framework was developed in response to this need by using …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 219–235 Read article
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Self-Powered Piezoelectric Nano-Polymer Networks with Embedded Wireless Nodes for Distributed IoT Sensor Platforms
Abstract: Self-powered sensing systems are emerging as a promising solution for next-generation distributed Internet of Things (IoT) platforms, where lightweight, flexible, and low-maintenance devices are required for continuous monitoring. In this work, a self-powered piezoelectric nano-polymer network based on poly-vinylidene fluoride (PVDF) reinforced with BaTiO₃ nanoparticles and multiwalled carbon nanotubes (MWCNTs) was developed for flexible wireless sensing applications. The composite was designed to combine mechanical flexibility, enhanced piezoelectric response, and real-time …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Design and Ballistic Performance Assessment of Pattern-Optimized Lightweight Composite Armor Using ANSYS Explicit Dynamic and AUTODYN
Abstract: This study investigates the ballistic performance of lightweight composite armor panels designed to defeat 9 mm full-metal-jacket (FMJ) threats using high-fidelity numerical simulations. Four different composite materials were arranged into panels of identical overall dimensions; only the internal segment pattern was varied to explore geometric resistance effects while keeping mass and material type controlled. Ballistic impact simulations were performed using ANSYS Explicit Dynamics and AUTODYN to capture high-strain-rate behavior, local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 174–190 Read article
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Basalt Fiber, Palm Fiber, and Seashell Powder Reinforced Hybrid Epoxy Composites: A Mechanical Characterization
Abstract: This study investigates epoxy-based composites reinforced with basalt fiber, palm fiber, and seashell powder fabricated via hand lay-up. Mechanical characterization included tensile, flexural, hardness, and impact testing, supported by ANOVA and TOPSIS analyses. The Basalt-Epoxy composite has the highest mechanical strength among the systems under investigation, with a tensile strength of 275 N/mm² and a yield stress of around 215 N/mm². Compared to Palm-Epoxy composite, which has the lowest mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1565–1575 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Hybrid Polymer Nanocomposites with Enhanced Dielectric and Optical Properties for Wireless Communication Systems
Abstract: The incorporation of nanofillers into polymer matrices offers a promising approach to enhancing the multifunctional properties of composite materials. This study examines the effect of nanofiller concentration on the dielectric performance, mechanical strength, thermal stability, optical absorbance, and electromagnetic interference (EMI) shielding effectiveness of polyvinylidene fluoride (PVDF)-based nanocomposites. Titanium dioxide (TiO₂) and zinc oxide (ZnO) nanofillers were incorporated at varying concentrations to assess their influence on material properties. EMI shielding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 518–549 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Exploring the Impact of Lattice Strain on the Debye-Waller Factor in Iron Nanoparticles: A Comprehensive Analysis
Abstract: This study systematically investigates the influence of lattice strain and particle size in iron powder produced through milling, employing X-ray powder diffraction. The determination of lattice strain (ε) and the Debye-Waller factor (B) is accomplished by analyzing Bragg reflection half-widths and integrated intensities. Significantly, the Debye-Waller factor exhibited a notable increase with lattice strain. By establishing a correlation between stress and the influential Debye-Waller factor, we derived a precise relationship …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 215–224 Read article
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Advancements in Drug Design Technology and Its Impact on COVID-19 Treatment
Abstract: The deadly coronavirus disease 19 (COVID-19) pandemic has recently spread, raising concerns about global health. The search for novel therapeutic compounds is made more necessary by the persistent problem of the absence of licensed medications or vaccinations. By saving money and time, computer-aided drug design has sped up the process of finding and developing new drugs. The structured-based and ligand-based drug discovery subcategories of computer-aided drug design (CADD) are the …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 1–15 Read article
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Comprehensive Thermal and Environmental Investigation of An Enhanced Evacuated Tube Solar Water Heater with Wavy Tape and Latent Heat Storage
Abstract: Evacuated tube solar collectors (ETSCs) are widely used for thermal energy applications; however, enhancing their thermal and exergetic efficiency remains a challenge. This study investigates performance enhancements through structural and material alterations. Four ETSC cases were tested experimentally, case-1: a standard ETSC, case-2: Wavy tape (WT) inserted ETSC, case-3: Phase change material (PCM) integrated ETSC, and case-4: Dual-Enhanced ETSC (PCM + WT). A binary eutectic PCM was utilized for latent …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 1–16 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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A Study to Assess the Knowledge Regarding Pradhan Mantri Jan Arogya Yojana (PM-JAY) Among the General Public in a Tertiary Care Teaching Hospital, Kuppam
Abstract: Background: Ayushman Bharat, the flagship scheme of the Government of India, was launched to achieve Universal Health Coverage (UHC) as per the National Health Policy 2017. It aims to address healthcare needs comprehensively by transitioning from fragmented approaches toward a holistic system. Pradhan Mantri Jan Arogya Yojana (PM-JAY) is a pivotal component of this scheme, striving to achieve UHC by providing comprehensive healthcare services to underprivileged families. Assessing public awareness …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
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Infectious illnesses in areas of violence and among refugees
Abstract: Infectious illnesses are a huge and ongoing hazard in conflict zones and among refugee populations. This is because frail health systems, population relocation, and poor living conditions all come together to make transmission risks higher. Armed conflict undermines vital public health infrastructure, such as vaccination programs, disease surveillance, water and sanitation systems, and access to medical care, resulting in the resurgence and proliferation of avoidable and treatable illnesses. Refugee camps …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 36–40 Read article
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Exploring Carbon Nanotubes in Nanotechnology: Functional Properties, Surface Modifications, and Biomedical Innovations
Abstract: Significant progress has been made in nanotechnology in recent years, especially in the creation of sensors with a broad range of uses. Among these, carbon nanotubes (CNTs) are cylindrical structures composed of carbon, with diameters in the nanometer range. CNTs originate from graphite sheets, where the graphite layers resemble a rolled-up, continuous, and robust hexagonal mesh. These hexagons have carbon atoms at their vertices. The fabrication of CNTs typically involves …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 24–31 Read article
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Investigating the Quality of Online Education from University-level Students’ Perspective in Bangladesh
Abstract: Coronavirus disease has disrupted the global education system in the year 2020. An online teaching platform was the only alternative to the face-to-face classroom teaching to continue educational activities. The main purpose of the study was to assess the quality of online education from the perceptive of university-level students in Bangladesh. The research found that the class materials, the interaction between teacher and students, interaction among students, technical support availability …
Published in Research & Reviews : Journal of Statistics Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Comparative Analysis of Serial and Parallel Robot Mechanisms for Industrial Automation
Abstract: Serial and parallel manipulators represent two major mechanical architectures in industrial automation, each with distinct strengths and trade-offs. This study presents a detailed comparative analysis of serial-chain (open-kinematic) robots and parallel-kinematic manipulators (PKMs) with a focus on industrial automation tasks. It covers kinematics, static accuracy and stiffness, dynamics and actuation requirements, control and calibration burdens, workspace and singularity behaviour, and practical industrial considerations (cost, integration, safety, maintenance). Serial robots, exemplified …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 22–26 Read article
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Developmental Responses to Structured Training Loads in Competitive Youth Judo
Abstract: This study investigates the influence of a planned and regulated training-load structure on the physical and technical growth of elite youth Judoka aged 10 to 16. A four-week training program progressively modified the key variables of training intensity, frequency, and volume to support performance development while avoiding over-fatigue and injury. Ten athletes participated with performance assessed before and after training using tests for Muscular endurance, Core stability, Lower body explosive …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 07–15 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article