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263 articles for “BAS (score)”
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GPS-based Dengue Risk Index App
Abstract: Our idea is to develop GPS-based dengue risk index app which is mainly used to predict the outburst of dengue diseases in user’s location. The prediction is based on analysing climatic condition. The climatic parameters that are used in analysis are temperature, rainfall and humidity. Linear regression algorithm is used to extrapolate in the multidimensional space to predict the threat of dengue exploration at user’s location. The dengue risk index …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 12–16 Read article
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Reactive Strength Index as a Predictor of Jump Height and Agility in Basketball Athletes
Abstract: This study examines the relationship between the Reactive Strength Index (RSI) and specific performance metrics, namely jump height and agility, in youth basketball players. The RSI, a measure derived from drop jump testing, provides insight into an athlete’s explosive strength and reactive capabilities—essential qualities for success in basketball, where quick directional changes and reactive power are integral to performance. A cohort of forty youth athletes, comprising 20 males and 20 …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 8–13 Read article
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Effectiveness of Temporins for the Treatment of HPV Infections
Abstract: Objectives: Human papillomavirus (HPV), especially high-risk variants like type-16 have been linked to the formation of malignant tumors. HPV-16 has been implicated in most cases of cervical cancer in women. This study aims to assess the effectiveness of three types of temporin molecules, i.e., antiviral peptides secreted by certain frog species, for the inhibition of the viral L1 protein. Methods: In the present study, various computational tools were used to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 41–53 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Menstrual Hygiene
Abstract: Menstruation is also properly called menses, catamania and more commonly a period of monthly flow. Menstruation is not an illness, but an expected and necessary part of healthy mature female adolescent. It may at times be inconvenient and troublesome, but it is the way all normal female function. The objective of the study was to assess the awareness and knowledge among adolescent girls regarding menstruation hygiene before and after administration …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 23–30 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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A Descriptive Study to Assess the Knowledge, Attitude, and Practice of Mothers of Children (0–5 years) about Prevention and Management of Diarrhoea in a Selected Urban Slum Area of Delhi
Abstract: Introduction: Children are the future of the nation. Their healthy development is an investment innational development and productivity. Mothers are important persons in children’s lives. Objectives:The study was aimed to access the knowledge, attitude, and practice of mothers of children (0–5years) about prevention and management of diarrhoea, to relate the knowledge of mothers of children(0–5 years) with the attitude and practice about prevention and management of diarrhoea, toassociate the knowledge, …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 51–58 Read article
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Effect of Dashamoola Niruha Basti in the Management of Gridhrasi (Sciatica): A Case Study
Abstract: Gridhrasi is one of the Nanatmaja Vata Vyadhis described in Ayurvedic literature and is characterized by radiating pain, stiffness, pricking sensation, and restricted movement of the lower limb. Clinically, it closely resembles Sciatica caused by compression or irritation of the Sciatic Nerve. Basti Chikitsa is regarded as the most effective therapeutic modality for Vata disorders. Dashamoola, owing to its Vata-Kapha Shamaka, Shothahara, and Vedanasthapana properties, may play a significant role …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 Read article
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Effect of Dashamoola Niruha Basti in the Management of Gridhrasi (Sciatica): A Case Study
Abstract: Gridhrasi is one of the Nanatmaja Vata Vyadhis described in Ayurvedic literature and is characterized by radiating pain, stiffness, pricking sensation, and restricted movement of the lower limb. Clinically, it closely resembles Sciatica caused by compression or irritation of the Sciatic Nerve. Basti Chikitsa is regarded as the most effective therapeutic modality for Vata disorders. Dashamoola, owing to its Vata-Kapha Shamaka, Shothahara, and Vedanasthapana properties, may play a significant role …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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On-Farm Demonstration of Improved Sorghum (Sorghum bicolor L. Moench) Technologies in Cluster based Large scale Approaches at Gofa Zone, Southern Ethiopia
Abstract: Sorghum is used as a source of food and cash for smallholder farmers in drought phrone areas of Gofa Zone. Farmers produce sorghum traditionally without proper management and input use and as a result yield obtained by farmers was far below the crop potential. Therefore, Arba Minch Agricultural Research Center carried out a cluster-based large-scale demonstration of improved sorghum in Melo-Koza and Zala Districts of the Gofa Zone in Southern …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 1, 2024 · pp. 23–30 Read article
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Pre-Contract Advice on Construction Projects: Procurement Assessment for Repair Works on a Flood-Damaged Hospitality Facility
Abstract: Pre-contract advice on construction projects entails providing strategic expert evaluation atthe upstream phase of procurement. It is an essential part of contract management for routinework as well as large projects. This study carries out a procurement assessment as part of thepre-contract cost advisory services for proposed repair works on a hospitality facility,following damage from a flood disaster event. Using a scenario-based approach, differentmethods of procurement were evaluated for their pros …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 19–25 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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A Descriptive Study to Assess the Prevalence of Knee Pain and Providing Need-Based Interventions Among Women (Above 40 Years) Residing in Selected Urban and Rural Areas of Roopnagar District (Punjab)
Abstract: Introduction: Health is general condition of person’s mind, body and spirit, usually meaning to be free from illness, injury or pain. Knee pain is a major health problem in India that causes considerable disability and impact on quality of life. Knee pain is common musculoskeletal problem in women and its prevalence increases with age, which includes mainly the knee joint, ligaments and cartilage. It is well known that our body …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 1, 2018 · pp. 30–38 Read article
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Quasi-Sobol-Based Optimization and Sigmoid Fuzzy Logic for Efficient Task Clustering in Decentralized Edge-Cloud Architectures
Abstract: Decentralized edge-cloud systems face a lot of issues in efficient task clustering, resource allocation, and real-time decision-making. Conventional methods mostly fail to work well under dynamic workloads and uncertain conditions. This study intends to optimize task clustering through quasi-Sobol-based optimization and Sigmoid Fuzzy Logic for resource allocation, enhancing decision-making accuracy and achieving efficiency in the system at the edge-cloud environment. A hybrid technique that has incorporated optimization via Quasi-Sobol sequences …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 9–18 Read article
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Effectiveness of an Intervention on Nurse’s and Caregiver’s Knowledge and Practices Regarding Chemotherapy Induced Neutropenic Complications: A Cluster Randomized Controlled Trial
Abstract: Abstract Objective: To assess the effectiveness of an intervention on knowledge and practices of nurses and caregivers regarding chemotherapy induced neutropenic complications. Methods: A total of 51 nurses and 105 patients and their caregivers were enrolled in the study using cluster randomization. 27 nurses and 51 patient’s and their caregiver’s were enrolled in control group from radiotherapy department and 24 nurses and 54 each patients and their caregivers were enrolled …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 2, 2020 · pp. 18–24 Read article
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Safety and Efficiently Management Through Alternative Medicine (Yoga and Naturopathy) Lifestyle in Patients Suffering from Cervical Spondylosis
Abstract: Cervical spondylosis (CS) is generally explained as the degeneration and age-related condition or state of affecting joints of the neck. It is also known as cervical osteoporosis. This situation or symptoms is usually found in men and women at the age of 40 years or above. The aim of the study focuses on reduction of symptoms and increase in functional activities of elderly patients with spondylosis before and after modalities …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 4, Issue 3, 2017 · pp. 11–22 Read article