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1391 articles for “A/B testing”
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Morphological Heterogeneity and Ethnic Patterning of Anthropometric Traits in Ethiopian Inter-Scholastic Athletes
Abstract: Introduction: Anthropometric characteristics such as body size, proportions, and composition are fundamental determinants of morphological suitability for sport. Ethiopia’s significant ethnic diversity suggests potential variability in these traits; however, systematic data on anthropometric differences among adolescent athletes from different ethnic and demographic backgrounds remain limited. Understanding these variations is critical for talent identification and sports specialization at the school level. Methods: A cross-sectional study was conducted among inter-scholastic athletes representing …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 25–34 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Relationship between Socio-Economic Status and New Word Learning
Abstract: New word learning refers to the process of learning of novel words which are not in the vocabulary of the person and it varies as a function of many potent variables. Socio economic status is one of the major variables believed to have a significant effect on new word learning. The aim of the current study to investigate if new word learning varies as a function of socio-economic status. 74 …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 19–24 Read article
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Analysis of Fibre Reinforced Beams
Abstract: There has been research into the flexural behaviour of composite beams with a variety of fibre layer depths, all of which were designed using the balancing section and the limit state design idea. The fibre depth is estimated to be 112 mm (d = 112 mm), with the first three dimensions being 94.44 mm (d1 = 94.44 mm), 46.12 mm (d2 = 22.35 mm), and 22.35 mm (d3) respectively. The …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 53–59 Read article
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Perturb and Observe Maximum Power Point Tracking Technique with PID Controller for a Wind Power System
Abstract: The wind power generation system has a significant growth worldwide over the past four decades. The wind power generation system has strong coupling and linear characteristics which makes it a complicated electromechanical system. The power control strategy has a higher impact on the overall performance as the wind power generation is operated at variable and random wind speed conditions. PID control is the most used control algorithm in industrial applications. …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 1, 2023 · pp. 15–25 Read article
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Smart Solar Tracking System for Maximizing Energy Output
Abstract: This paper presents the design and development of a dual-axis solar tracking system using a stepper motor and light- dependent sensors to maximize solar energy capture. The proposed system continuously aligns the photovoltaic panel perpendicular to the sun’s rays, thereby improving overall power-generation efficiency. A complete prototype was developed and experimentally tested. To assess system performance, experimental testing was carried out in a variety of lighting and environmental settings. When …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Algorithm Visualization Using CI/CD
Abstract: The visualization of algorithms demonstrates how algorithms work more efficiently. Essentially, it seeks to simplify and automate the visualization of the algorithm. Using algorithm visualizations, we have discussed how standard algorithms can be taught more effectively and efficiently with automation and further can be used as open source. Our aim is to present a way to deploy our project using CI/CD which will be a far more efficient platform. Therefore, …
Published in Journal of Computer Technology & Applications Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Breaking Barriers: How Telemedicine is Reshaping Access and Quality in Healthcare
Abstract: Thanks to advancements in telecommunications technology, telemedicine has become a disruptive force in the delivery of healthcare, bridging geographical and accessibility gaps. This article offers a thorough examination of the advantages, difficulties, and potential applications of telemedicine in healthcare. Telemedicine has a number of benefits, one of which is that it makes healthcare more accessible, especially for underprivileged groups living in rural or isolated places. Telemedicine makes it possible for …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 1–4 Read article
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HPV Screening as an Alternative to Pap Smear in Cervical Cancer Prevention: A Comparative Study in North India
Abstract: Cervical cancer remains a leading cause of cancer-related morbidity and mortality among Indian women, especially in low-resource settings. While Pap smear testing has been the standard screening method, HPV DNA testing offers potential advantages in sensitivity, cost-effectiveness, and feasibility for large-scale implementation. This study compares the efficacy, cost, and acceptability of HPV screening versus Pap smears in urban and rural populations of North India. A comparative cohort study was conducted …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 31–37 Read article
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Polymer-Based Acousto-Optic Ultrasonic Sensor for Non-Destructive Evaluation of Dielectric Insulation
Abstract: A dual-polymer fiber-optic sensor for monitoring partial discharge (PD) activity in high-voltage polymeric insulation is presented in this work for non-destructive evaluation and dielectric testing applications. Dielectric weakness within polymeric insulation leads to partial discharge activity, generating ultrasonic acoustic waves that propagate through the medium. The developed sensing assembly comprises a conical polymer-based horn that gathers and concentrates the ultrasonic acoustic emission energy generated by dielectric weakness, and a single-mode …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 11–24 Read article
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Selection of Appropriate Porous Material for Designing and Developing Hybrid Absorptive Muffler: A Wave 1-D Based Approach
Abstract: In this study, glass wool and rock wool are used as sound-absorbing materials to assess the sound transmission loss (STL) of hybrid absorptive mufflers. Improving the muffler's acoustic performance and assessing how well these materials attenuate noise are the main goals. Rock wool, which offers greater thermal resistance and broader frequency absorption, is contrasted with glass wool, which is renowned for its lightweight construction and high-frequency absorption. Wave 1-D simulation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 148–160 Read article
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Assay of the Antitrypanosomal Activity of Ziingiber Officinale Extract in Wister Rats
Abstract: This research investigated the antitrypanosomal effects of Zingiber officinale in rats infected with Trypanosoma brucei brucei. Twelve adult rats, 7 weeks old and of both sexes, were randomly divided into six groups (1 through 6), with each group consisting of two rats. All six groups (1–6) were intraperitoneally injected with 0.1 ml of blood containing 10⁶ Trypanosomes/ml. Groups 1–4 received daily intraperitoneal doses of the plant extract at concentrations of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 32–37 Read article
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Evaluation of Bio-Based Polymer Composites Containing Guava Leaf Extract for Antimicrobial Functionality
Abstract: This study explores the formulation of an herbal soap using guava leaf extract as a primary ingredient. Guava leaves are a rich source of biopolymers like pectin and cellulose, which may contribute to the binding properties in the soap. The antimicrobial activity of the soap was evaluated against common skin pathogens (Staphylococcus aureus, Trichoderma spp., Aspergillus spp.). The formulated soap exhibited inhibitory effects against all tested pathogens. The weight, foaming …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 875–880 Read article
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An Investigative Study on Secure Coding Practices with Shell Scripting
Abstract: This investigative research delves into secure coding practices within shell scripting, aiming to reduce prevalent security vulnerabilities and improve the overall security stance of shell scripts. It emphasizes three key areas: static analysis, dynamic analysis, and manual code review. Through static analysis, the code structure, usage of unsafe functions, and potential vulnerabilities are examined without executing the script. Dynamic analysis entails running the script in controlled settings to detect runtime …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 16–23 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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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Malaria Diagnosis through Conventional Methods: A Comprehensive Review
Abstract: The incidence of drug-resistant parasite strains is rising, there is an apparent increase in the number of cases of malaria worldwide, and in a small number of cases and there has been a dramatic rise in international migration and travel. Over 1 million people die from malaria every year; 90% of these deaths are in African children, who live in tropical and subtropical regions. Although there are now efficient techniques …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 8–14 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–12 Read article