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672 articles for “PrEP”
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Finite Element Formulation for Mechanical Buckling of FGM Plate Exposed to Various Boundary Conditions
Abstract: Mechanical buckling analysis of functionally graded (FG) material plates based on first-order shear deformation theory. In the real world many components manufactured by FG materials face the buckling load under certain conditions. Various types of gradation law for tailoring the material properties are applied by the researcher, out of that, presently a simple power law for material gradation is applied with shear correction factor (SCF) is used to take account …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 503–513 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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Smart AI-Enhanced Tool for Comprehensive Mock Interview Practice
Abstract: Job seekers often struggle with interview preparation due to a lack of structured practice, real-time feedback, and a realistic interview environment. Traditional methods, such as self-practice or mock interviews with peers, may not provide an accurate assessment of a candidate’s readiness for real-world job interviews. This research work introduces an AI-based mock interview tool designed to enhance skills based on a user's job profile. The platform is built using React …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 20–25 Read article
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Modified Oil Bitumen with Polymer Waste for Oil Pipeline Application from Bitu
Abstract: Protection of oil refining, oil production and gas pipeline equipment from corrosion is the most important problem today. Currently, anticorrosive materials are mainly used, resistant polymer compositions, epoxy resin, bitumen and other materials for coating metal parts of these equipment. But these anticorrosive materials do not always provide metals from corrosion at the metal-antioxidant boundary and do not provide high strength of the protective layer, so these anticorrosive materials do …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 101–109 Read article
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Vaccines in the Fight Against COVID-19: Mechanisms, Efficacy, and Global Challenges
Abstract: The SARS-CoV-2 pandemic has created an unparalleled public health problem, necessitating comprehensive prevention. This page discusses COVID-19's evolution, scientific understanding, and quick vaccine production and implementation. It compares the mechanisms, efficacy, and safety profiles of the four major types of COVID-19 vaccines—namely mRNA, viral vector, protein subunit, and inactivated virus vaccines. Each type is evaluated in terms of how it stimulates the immune response, its effectiveness in preventing infection or …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 34–48 Read article
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Study of Binary Systems Based on Butadiene-Terephthalate Rubber and Astragals and Its Rheological Properties
Abstract: Study of binary systems based on butadiene-terephthalate rubber and Astragals and it In this work, Nano sized astragals was used for the first time to modify butadiene terephthalate rubber. For this purpose, compositions were prepared to study the properties of butadiene terephthalate rubber with different astragals contents of 1, 3 and 5 mass parts. Their results were compared with the control composition without nanoparticles. The presence of astragals and its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 153–169 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Durability Assessment of Geopolymer and OPC Concretes under Chloride and Sulphate Chemical Attack
Abstract: The main problems with durable concrete constructions are attacks by sulphates and chlorides on concrete. The primary objective of this study is to evaluate how the strength properties of concrete are affected by the incorporation of fly ash when exposed to environmental conditions involving sulphate and chloride solutions. In this research, geopolymer concrete (GPC) is utilized as a replacement for conventional ordinary Portland cement (OPC). The concrete composition is prepared …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–218 Read article
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The Future of Mathematics Education in the Era of Artificial Intelligence
Abstract: The rapid integration of Artificial Intelligence (AI) into education is fundamentally reshaping the landscape of mathematics teaching and learning. This study examines how AI-powered tools are converting conventional math training into inclusive, individualized, and data-driven learning environments. Through an in-depth examination of global case studies—including Squirrel AI, Carnegie Learning’s MATHia, Khan Academy, Microsoft Math Solver, DIKSHA, Photomath, ALEKS, and BYJU’S—the study highlights AI’s ability to tailor content, deliver real-time feedback, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 2, 2025 · pp. 37–44 Read article
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An Experimental Investigation of High Performance by Using Steel and Polypropylene Fibres
Abstract: This study explores the feasibility of partially substituting conventional cement in concrete with steel and polypropylene fibers to improve mechanical performance and introduce alternative composite materials. Concrete cube specimens measuring 150 × 150 × 150 mm were cast with varying mix designs corresponding to M20 and M25 grades. The experimental program was executed in two distinct phases. In Phase I, control mixes of M20 and M25 grade concrete were prepared …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 7–13 Read article
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Exploring the Mechanical Characterization and Microstructural Properties of the Varying Weight % of Nano Boron Carbide (nB4C) Reinforced Al2024 composites using the Vacuum-Assisted Stir Casting Method
Abstract: In this investigation the stir casting technique is utilized to fabricate Al2024-B4C nano composites. The nanoB4C particles used in the reinforcement material have a particle size of 50 nm and variable weight percentages. In Al2024 composites, boron carbide reinforcement is included at weight percentages ranging from 0% to 3%, with a 1% interval between each percentage addition. Following the casting process, the samples were prepared for microstructural and mechanical evaluation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 394–404 Read article
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Formulation of Natural Hair Dye by Using Natural Herbs and Their Characterization
Abstract: The development of herbal hair dyes using natural herbs offers a safer alternative to chemical-based hair coloring products. This study investigates the development of a herbal hair dye formulated from a blend of natural ingredients renowned for their hair care benefits. The selected herbs include black catechu, henna, indigo, bhringraj, aloe-vera, amla, jatamansi, black cumin seeds, charcoal, alkanet root and extract of black tea, pomegranate & logwood. These herbs were …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 08–16 Read article
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Drug Utilisation and Cost Analysis in End-Stage Renal Disease Patients: A Prospective Observational Study
Abstract: Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and unable to efficiently remove waste and excess fluid from the blood. Dialysis serves as a treatment for CKD by artificially carrying out the kidney’s filtering functions. This prospective observational cross-sectional study was conducted to evaluate drug utilization patterns, economic burden, and health-related quality of life (HRQoL) among patients with end-stage renal disease (ESRD) undergoing dialysis. Over …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–12 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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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Polymer Chemistry in Sustained-Release Herbal Composites: Designing a Stable Euphorbia tithymaloides Topical System with Phospholipid and Polymer Matrices
Abstract: Polymer chemistry enables the stabilization and sustained release of herbal actives, critical for topical therapeutic applications. This study explores a novel process for preparing a stable, sustained-release topical composition of Euphorbia tithymaloides, leveraging polymer-based systems. Ethanolic extract (50 mg) of the plant, rich in unstable sugar moieties (e.g., D-ribose) and sterols (e.g., stigmasterol), is encapsulated within a phospholipid matrix of phosphatidylcholine (50–100 mg) and cholesterol (50–100 mg). This lipid-polymer complex, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 165–171 Read article
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Physical Activation Process and Characterization of Bioactive Carbon, with a Focus on its Applications
Abstract: Activated carbon is a form of carbon that has been processed to enhance its surface area and porosity. This processing enables it to function as an efficient adsorbent, attracting and retaining other molecules on its surface. In our environment, many types of biomass waste are inexpensive and renewable. Recently, there has been a growing interest in producing products from renewable resources. A prime example is the use of biomass to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 507–517 Read article
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Machine Learning Pipelines: A Survey on Automation, Scalability, and Deployment Strategies
Abstract: Machine learning (ML) has become a critical enabler of intelligent applications across domains, requiring robust, efficient, and scalable deployment workflows. This review paper provides an in-depth overview of machine learning pipelines, emphasizing three key dimensions: automation, scalability, and deployment methodologies. It begins by exploring automation techniques that reduce manual effort in data ingestion, preprocessing, model selection, and hyperparameter tuning. Tools such as AutoML, TFX, and workflow orchestration platforms are examined …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman
Abstract: Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 21–29 Read article