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672 articles for “PrEP”
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Optimizing Solo Athletic Excellence: Analyzing Psychological, Economic, and Cultural Drivers in Elite Sports Performance
Abstract: This research paper explores the multifaceted drivers behind elite solo sports performance, integrating psychological, economic, and cultural perspectives to understand how these factors contribute to athletic excellence. The study synthesizes insights from a variety of academic journals, authoritative books in sports science, and articles from prominent sports and psychology magazines. Through a mixed-methods approach, we analyze the resilience and mental strategies employed by solo athletes, assess the economic conditions that …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 16–26 Read article
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Strategies for Preventing Injuries in In-line Skating: A Comprehensive Guide
Abstract: Inline skating combines competitive sports and physical fitness with recreational enjoyment, appealing to a diverse demographic. However, the sport carries inherent risks such as fractures, sprains, abrasions, and head injuries, emphasizing the critical need for effective safety measures. This article synthesizes insights from comprehensive literature reviews and expert opinions to propose evidence-based strategies for injury prevention in inline skating. Key recommendations include wearing proper protective gear such as helmets, wrist …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 27–34 Read article
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Exploring Biomedical Innovations in the Formulation and Assessment of Medicated Hard Candy Lozenges Containing Metoclopramide Hydrochloride
Abstract: The objective of this study was to formulate and evaluate metoclopramide hydrochloride medicated lozenges for antiemetic action through buccal absorption by incorporating a polymer. All formulations were developed and assessed for in-vitro drug release, physical appearance, weight variation, thickness, hardness, moisture content, mouth-dissolving time, and drug content. The prepared lozenges exhibited uniformity in weight and thickness. The hardness of all formulations ranged between 7.3–15.50 kg/cm², falling within standard limits. The …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 50–62 Read article
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Toxicological Optimization and Assessment of Buccal Films Containing Felodipine Co-crystals to Enhance Bioavailability
Abstract: The preformulation study of felodipine was carried out and it was found that the drug is poorly water soluble. The co-crystals were prepared using three different co-formers sorbitol, ascorbic acid and oxalic acid. The solublity enhancement was observed in combination with sorbitol compared to other co-formers used. The characterization of co crystals was performed like PXRD, FTIR, SEM Analysis. XRD results indicates the amorphous form of the drug. The co-crystals …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 2, 2024 · pp. 10–29 Read article
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Netra Roga Nidana : A Critical Review
Abstract: Ayurveda defines Indriyas as sense organs that acquire knowledge for the Atma. According to Acharya Charaka, Indriyas are instruments that distinguish between living and non-living things. Because the Panch Mahabhuta (five elements) contributed to the composition of Indriyas, different sense organs function differently. Indriyas exist in minute form within their Indriya adhishtanas (anatomical organs) and perform the function of perceiving senses and communicating that perception to the brain or body …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 48–53 Read article
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FlexEdify: Adaptive Learning Platform
Abstract: FlexEdify is an innovative adaptive learning platform revolutionizing the educational experience by customizing content to meet the unique needs of each student. Utilizing state-of-the-art machine learning algorithms, the system promptly analyzes students' real-time errors, meticulously storing them in a centralized database. This database serves as the cornerstone for adaptive questioning, allowing the platform to dynamically adjust subsequent content based on individual weaknesses. The platform features a user-friendly interface, guaranteeing accessibility …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Tb3+ activated Boro Phosphate Glass: Synthesis and Photoluminescence (PL) Characteristics
Abstract: The (40B2O3+ 3Al2O3+(10-x) P2O5 + xTb + 7ZnO+5LiCO3+ 10H6NO4P+25SrCO3) boro phosphate glass was successfully synthesized via melt quenching method. The structural confirmation is supported with X-ray diffraction (XRD) data and surface morphology was defined by scanning electron microscope (SEM). The (40B2O3+ 3Al2O3+(10-x) P2O5 + xTb+ 7ZnO+5LiCO3+ 10H6NO4P+25SrCO3) boro phosphate glass has been investigated for its Photoluminescence (PL) under UV excitation. At 544 nm, the excitation was observed, and at 222 …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 43–47 Read article
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Phytopharmacognostical Study and Development & Assessment of Topical Herbal Ointment from Leaves of Calotropis gigantea
Abstract: Joint pain is a common problem that affects people all over the world and calls for efficient treatment solutions. The present study investigated the creation of a topical formulation for the treatment of joint pain that uses an extract from the leaves of Calotropis gigantea. C. gigantea is sometimes referred to as huge milk weed and aak leaves. It is a member of the Apocynaceae family. This versatile plant has …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 114–120 Read article
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Solar Light Photocatalytic Degradation of Methylene Blue and Methyl Orange Dyes by Ag-ZnO Nanocomposite
Abstract: A highly efficient silver-assisted ZnO nanocomposite was synthesized using the co-precipitation method, a technique that ensures a controlled and homogeneous formation of the composite material. The high purity of the synthesized nanocomposite was confirmed through detailed FTIR spectra analysis, which showed clear and distinct peaks corresponding to the functional groups present, indicating the absence of significant impurities. To evaluate the photocatalytic capabilities of the nanocomposite, a series of tests were …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 160–171 Read article
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Agile Modeling and Building an Inclusive Online Coding Platform for Programming
Abstract: The integration of agile modeling principles within professional programming emphasizes the development of online coding platforms tailored to meet the diverse needs of computer science and engineering students. This study introduces an agile-based, API-integrated J2EE online coding platform, designed to create a sophisticated and user-friendly environment for seamless programming practice, particularly focusing on Java programming. The platform offers real-time tracking of programming progress and enhances the understanding of complex coding …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 33–42 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article
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Seismic Analysis of Base Isolation for Protection of Rural Building of Different Shapes
Abstract: India is a developing country, more than 50% of Indian population lives in unreinforced masonry structures. Masonry structures are vulnerable to seismic loading and load acting in it’s out of plane, hence performs poorly and sometimes leads to sudden collapse. Collapse of structure not only damages public property but also costs the lives of people. Base isolation techniques for these types of structure can be proven to be beneficial, in …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 32–43 Read article
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Development of Herbal Mosquitoes repellent candle
Abstract: Citronella oil and essential oil are commonly used for their insect-repellent properties. They’re important for creating natural insect repellents, candles, and sprays, offering a safer alternative to chemical-based products. Citronella oil is particularly effective against mosquitoes, making it invaluable for outdoor activities and protecting against insect-borne diseases like malaria and Zika virus. Its pleasant scent also adds to its appeal as a natural air freshener. In a mosquito repellent study, …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 8–12 Read article
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Stability Analysis of Pontoons under Breakwater and Mooring System
Abstract: Floating pontoons are the new advance method and technology in construction industry. Land issue is very common issue in various countries. Constructing on waters and in the waters is the only option to overcome the land issue. Also, the construction of the bridges and other water-based structures also can be constructed by using pontoons. Pontoons are being used in the construction since ancient time Including temporary bridges and small shelters. …
Published in Journal of Water Resource Engineering and Management Read article
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Investigating the Effect of Rational Emotional Behavioral Therapy Training on Sensitivity in Women’s & Mutual Relationships
Abstract: The topic of Haaz's research is to investigate the effect of rational-emotional behavioral therapy training on sensitivity in women's mutual relationships. The purpose of this research is to prepare and compile a program in which the concepts of the rational-emotional behavioral therapy approach are used in order to investigate sensitivity in women's mutual relationships after the implementation of its training to women. The statistical population includes 120 women with risky …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 18–25 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article