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672 articles for “PrEP”
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Polymeric Emulsion Composite System Enriched with Eggshell-Derived Biominerals for Dermal Delivery
Abstract: This study describes the development and characterization of a sustainable polymeric water-in-oil (W/O) emulsion composite designed for dermal delivery and skin repair applications. The formulation was prepared using a lipid-rich biopolymeric matrix containing glyceryl stearate, beeswax, and plant-derived ingredients, which acted as the continuous phase for stabilizing and dispersing inorganic mineral fillers. Eggshell waste was utilized as a natural calcium source and combined with magnesium and zinc oxide to create …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Silver Nanoparticles Loaded Polyurethane Composites for Antibacterial Medical devices
Abstract: Polyurethane (PU) polymer is widely used in biomedical application. In our study we have combined polyurethane with silver nanoparticles to develop a nanocomposite material for antibacterial medical applications. Such combination has antibacterial properties and control the toxicity too. In current research we have mixed the different sizes and types of silver nanoparticles into the polyurethane matrix. The result was their antibacterial activity, mechanical strength, and biocompatibility. The antibacterial performance of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Investigation on mechanical performance of 3D printed PLA-Kraft Lignin composites
Abstract: Bio-based polymer composites are becoming more popular due to the growing need for sustainable and biodegradable materials in additive manufacturing. PLA-kraft lignin composites were created and their mechanical performance in fused deposition modeling (FDM) applications was assessed in this work. Polylactic acid (PLA) was mixed with Kraft lignin, a sustainable by-product of the paper industry, at weight percentages of 0%, 1%, 3%, 5%, and 7%. Melt blending was utilized to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1002–1015 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Earthquake Detection and Monitoring System
Abstract: Earthquakes continue to be one of the major natural hazards affecting human life and infrastructure. The development of affordable monitoring systems is essential for increasing preparedness and reducing the impact of such disasters. This work presents an Earthquake Detection and Monitoring System based on a vibration sensor and Arduino controller. The system continuously observes ground movements and evaluates the detected vibration levels against a predefined threshold. Whenever unusual vibrations are …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Urban Planning and Design Approaches for Redevelopment: Case of Indian Railway Stations Redevelopment
Abstract: Urban society’s spatial and functional needs are reflected in the theories that revolve around planning and design. These theories evolve and shape urban policies that are the frameworks for the future. The practice of these theories differs across the world because of the unique history and geography of urban areas. However, theories encompass a wide range of subjects that occur repeatedly. It is important to understand and contextualise the theoretical …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 2, 2026 · pp. 25–35 Read article
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A Review on Formulation and Evaluation of Polyherbal Face Sheet Mask.
Abstract: This research focuses on the formulation and evaluation of a polyherbal face sheet mask developed using natural herbal ingredients to address common skin concerns such as acne, dullness, pigmentation, sun damage, dark spots, and uneven skin tone. With the increasing demand for safe, eco-friendly, and chemical-free skincare products, herbal-based cosmetic formulations have gained significant attention due to their therapeutic properties, minimal side effects, and enhanced consumer acceptance. Face sheet masks …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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Valorization of shrimp processing waste by green methodology and its application in Chitosan-PEG composite film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Space Pharmacy for Human Space Exploration: Overcoming Drug Stability, Packaging Challenges, Pharmacokinetic Variations, and Developing Innovative On-Demand Therapeutic Solutions for Long- Duration Missions Beyond Earth
Abstract: As humankind prepares for prolonged space exploration and the establishment of lunar and Martian habitats, ensuring reliable access to safe and effective medicines has emerged as a critical challenge. The evolving discipline of space pharmacy addresses the unique pharmaceutical needs of astronauts in microgravity and radiation-rich environments, where drug stability, packaging, and pharmacokinetics are markedly different from conditions on Earth. Traditional dosage forms often undergo accelerated degradation, while altered fluid …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 32–47 Read article
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Sustainable Production of Halal Butter from Mango Kernel Oil: Extraction, Characterization and Functional Evaluation
Abstract: Mango kernel oil (MKO) is a mango processing by-product and is increasingly of interest in food use because of its appropriate fat content. The growing demand of the halal and plant-based alternatives of butter points to the necessity of the sustainable non-dairy sources of fat. Mango kernel oil butter has good physicochemical properties such as a good balance of fatty acids, good oxidative stability, and the right level of moisture, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 12–21 Read article
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Evaluation of the Formation, Concentration, and Mitigation of Heterocyclic Amines in Selected Nigerian Proteinaceous Delicacies
Abstract: This study characterised the kinetics and concentration profiles of six HCA congeners — 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-Amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), 2-Amino-3-methylimidazo[4,5-f]quinoline (IQ), 1-Methyl-9H-pyrido[3,4-b]indole (harman), and 9H-pyrido[3,4-b]indole (norharman) — in six Nigerian food preparations (grilling of popular delicacies — including suya, kilishi, asun, and smoked catfish (eja aro)) using validated liquid chromatography–tandem mass spectrometry (LC-MS/MS) under three cooking modalities (charcoal grilling, pan-frying, oven-roasting). The inhibitory potential of five natural marinade formulations — …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Physico-Mechanical Behavior of Euphorbia Abysinica and Wood Chips Composite
Abstract: In this study, we prepared composite test specimens from Eucalyptus chip particles of sizes 0.5 mm, 1 mm, and 2 mm combined with Euphorbia-Abyssinica fluid at an 80:20 mass ratio. We produced the particleboard under a compression load of 150 KN and kept it in the compression machine for thirty minutes inside the mold. After removing it from the machine, we secured it with C-clamps for twenty-four hours. We covered …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article