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564 articles for “s-multiplicative”
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Exploring the Mechanical Characteristics of Three Natural Composite Materials (Kenaf, Sisal, and Banana with Almond shell, Glass, and Silicon carbide fillers): A Comparative Evaluation
Abstract: The current global demand for lightweight, long-lasting, and economically efficient materials is of unprecedented magnitude. Industry sectors including aircraft, automotive, construction, and sports are constantly adapting to fulfil these requirements. Natural composites refer to materials obtained from natural sources that utilise two or more separate components to form a material with improved characteristics. In numerous industries, natural composites offer a potential and ecologically sound alternative to synthetic materials by harnessing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 492–502 Read article
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Dimensional Investigation of Material Extrusion Based AM Part
Abstract: Now a day’s additive manufacturing plays a vital role in industrial application. Material Extrusion based 3D printed parts often face inherent limitations in quality, such as geometric inaccuracies, surface roughness, and reduced strength, especially when compared to those made through traditional or more refined manufacturing methods. However, this system provides notable advantages for producing parts from materials like ABS by optimizing critical material extrusion based AM machine process parameters, such …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 442–452 Read article
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Development of Chilli Pedicle Powder Fiber Reinforced with Palmyra Sprouts for Sustainable Biodegradable Composites and Its Mechanical Characterization
Abstract: The current research study aimed to present the development and mechanical characterization of a novel biodegradable composite material, Chilli Pedicle Powder fiber reinforced with Palmyra sprouts, which might be of significant importance to replace conventionally used synthetic fibers from nature in an eco-friendly way. With rising global needs in sustainable materials in multiple industries, like automotive, construction, and packaging industries, it was required to find an alternative biodegradable source that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 433–441 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Post-Antibiotic Gut Microbiota Recovery in the Rumen: Insights into Colonization Patterns, Population Density, and Diversity Dynamics
Abstract: The post-antibiotic recovery of gut microbiota represents a critical area of research in understanding how microbial communities rebalance and re-establish homeostasis following antibiotic-induced disruptions. Antibiotics, while effective against infections, can cause substantial shifts in gut microbiota, leading to dysbiosis – a state of microbial imbalance that impairs gut health and functions. This recovery process involves multiple complex dynamics, including colonization patterns, population density, and the restoration of microbial diversity. The …
Published in International Journal of Antibiotics · Vol. 2, Issue 2, 2025 · pp. 1–17 Read article
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Evaluating the Role of Integrated Digital Tools in Enhancing Workforce Productivity in SMEs: A Case Study of the WorkWiz Management System
Abstract: This article investigates the potential impact of integrated digital management tools on workforce productivity in Small and Medium Enterprises (SMEs). While digital transformation is widely recognized as a key driver of productivity, SMEs face unique implementation challenges including resource constraints, workforce technical capabilities, and cultural adaptation. We examine how unified digital tools could affect individual and organizational productivity across attendance management, inventory control, communication, and administrative functions through a simulation …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 16–27 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Environmental and Sanitation Challenges and Their Role in Malaria Transmission: A Case Study of Duport Road Community, Paynesville City, Liberia
Abstract: Introduction: Environmental sanitation plays a crucial role in controlling malaria transmission, yet several factors continue to impede its effectiveness, particularly in communities with poor waste management and drainage systems. This study explores the factors that hinder proper environmental sanitation and their association with the spread of malaria among residents of Duport Road Community, Paynesville City, Liberia. Methods: A descriptive cross-sectional study was conducted, gathering data from 400 participants—both men and …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 24–29 Read article
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Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Polymer-Based Nanocomposites: Synthesis, Properties, and Applications
Abstract: Polymer-based nanocomposites have emerged as a highly promising class of materials, offering enhanced mechanical, thermal, and electrical properties. By incorporating nanoscale fillers such as carbon nanotubes, graphene, and metal oxides into polymer matrices, these composites exhibit superior strength, conductivity, and durability compared to conventional polymer materials. Their tunable properties make them highly versatile, with applications spanning multiple industries, including biomedical engineering, electronics, and automotive manufacturing. The synthesis of polymer nanocomposites …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 222–227 Read article
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Advancing Cancer Vaccine Development through CRISPR/Cas9 Technologies and Future Opportunities
Abstract: The advent of CRISPR/Cas9 genome editing has revolutionized the cancer immunotherapy market, offering unprecedented precision and versatility in the development of next-generation cancer vaccines. This review examines how CRISPR technologies are being integrated into various stages of cancer vaccine development including neoantigen discovery, dendritic cell engineering, cancer cell reprogramming, and tumor microenvironment modulation. In the area of neoantigen discovery, CRISPR enables rapid identification and validation of tumor-specific mutations, thereby supporting …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 Read article
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Review article on Quality Control in Clinical Trials
Abstract: Quality control (QC) is a critical component in the conduct of clinical trials, ensuring the accuracy, reliability, and credibility of data collected throughout the study. It encompasses a systematic set of procedures designed to monitor trial conduct and data integrity, thus safeguarding the rights, safety, and well-being of participants. This review explores the principles, implementation, and evolving practices of quality control in clinical trials, highlighting its importance across all phases …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
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A Review of Glass Fiber Reinforced Composite Materials - Advancements and Challenges
Abstract: The use of glass fiber reinforcement has transformed modern engineering by providing an exceptional balance of strength, lightweight characteristics, and adaptability. This comprehensive review synthesizes findings from over 150 scholarly articles to provide an in-depth analysis of glass fiber reinforcement across multiple sectors. The exploration covers its historical development, manufacturing processes, and diverse applications in aerospace, automotive, construction, marine, and renewable energy industries. Glass fiber’s exceptional strength-to-weight ratio, corrosion resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 635–656 Read article