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111 articles for “risk scoring”
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Exploring the World of Big Data: Understanding Impact and Possibilities
Abstract: Big data refers to the management and analysis of large and complex data sets that cannot be handled by traditional data processing software. It involves techniques for extracting useful information from these data sets, and involves challenges such as data storage, analysis, sharing, and privacy. The three main characteristics of big data are the large volume of data, the variety of data types, and the fast pace at which data …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 36–41 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Evaluating Epidemiological and Physical Risk Factors in the Development of Chemotherapy-induced Peripheral Neuropathy (CIPN): An In-depth Systematic Review and Meta-analysis
Abstract: Background of study: Chemotherapy-induced peripheral neuropathy (CIPN) encompasses a range of adverse effects caused by various cytotoxic medications and stands as a primary source of pain among individuals who have survived cancer. In instances of pronounced and sudden CIPN, it might become necessary to diminish chemotherapy dosages or discontinue their application. Currently, no efficacious strategy exists for proactively preventing CIPN, managing established chronic CIPN is constrained, and the risk factors …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 10–21 Read article
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A Study to Assess the Effectiveness of an Information Education Communication Module Regarding Health Hazards of Junk Food Among Late Adolescent at Selected Villages
Abstract: Junk food refers to ready-to-eat foods that are prepared and served quickly, including a wide range of fast-food products. In recent years, the popularity and consumption of junk food have risen markedly in India, particularly among adolescents and young adults, who constitute the largest consumer group. This growing preference has made junk food a regular component of the dietary patterns of many adolescents in developing nations. Frequent consumption of these …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 19–25 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Programme on the Level of Knowledge Regarding Primary Prevention of Oral Cancer Among Intermediate Students at Shatrughan Singh Inter College, Kalyanpur, Kanpur
Abstract: Background: Oral cancer is a significant public health concern, yet awareness of its causes, risk factors, and preventive measures remains low among adolescents and young adults. Since intermediate students have a limited understanding of oral cancer and its impact on health, the present study aimed to assess the effectiveness of an informational pamphlet in improving knowledge regarding the primary prevention of oral cancer. Method: A quantitative pre-experimental research design with …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 9–14 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 26–40 Read article
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A Study to Assess Prevalence of Tobacco Use Among Adolescents and Assess the Effectiveness of Structured Teaching Program Regarding Ill Effects of Tobacco Use and Its Prevention Among Adolescents in Selected Community of New Delhi
Abstract: Tobacco use among adolescents has become a global challenge and it is reaching pandemic levels. The objectives of the study were (a) to assess the prevalence of tobacco use among adolescents in a selected community of New Delhi, (b) To provide an organised education programme on the negative effects of tobacco smoking and how to prevent it for teenagers in a chosen New Delhi community, (c) to determine whether the …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 23–38 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Infection Control awareness among Nursing students: Descriptive Insights from Ongoing Clinical Orientations in Odisha
Abstract: Background: Effective infection control practices are critical in preventing healthcare-associated infections (HAIs). Aim: This study aimed to assess the awareness regarding effective infection control measures among student nurses undertaking their initial clinical orientations at Hospitals. Method: The study accepted 64 respondents from II-year BSc Nursing, sampled in clusters from selected Hospitals, Odisha. Results: The students yielded a mean awareness score of 0.69, categorized as Good. A comparison revealed that female …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 17–23 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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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Knowledge of Mothers about the Risk of Domestic Accident among Toddlers: Effectiveness of Strategy for Teaching about Home Safety
Abstract: Introduction: Accident is the single-most health problem and biggest cause of death after the age of one year. Injuries are most common among 1–3 year of age group which leads to death of children. The leading causes of injury are burn, chocking, ingestion, falls etc. Supervision and awareness are necessary for the child to prevent home accident. Aims: To assess the knowledge and to find out the effectiveness of teaching …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 3, 2017 · pp. 1–7 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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The Impacts of Fluoride Contamination in Groundwater on Public Health in India: Evidence from Skeletal Diseases and Dental Diseases
Abstract: Abstract The objective of this paper is to examine the potential effects of fluoride exposure by analyzing the influence of fluoride contamination in drinking water on health outcomes across various districts of India. The paper will mainly highlight two health outcomes- dental diseases and skeletal diseases. This study also examine the health impacts associated with fluoride contaminated water across the different considered samples with the inclusion of additional demographic and …
Published in Journal of Water Pollution & Purification Research · Vol. 3, Issue 2, 2016 · pp. 43–60 Read article
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Baseline Assessment of the Knowledge, Attitudes, Belief and Practices (KABP) related to HIV/AIDS in Vasai, Maharashtra, India
Abstract: Despite of decade long national effort to target prevention programs towards the general Indian population, most prevention programs have largely focused on urban populations. Information on semi-urban and rural populations is limited. This study is a baseline assessment of the Knowledge, Attitudes, Belief and Practices (KABP) related to HIV/AIDS, among participants receiving targeted awareness programmes in semi urban regions of Vasai taluka, Maharashtra state, which is identified as one of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 7–16 Read article
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Coronary Risk Reduction Discharge Training Programme (CRR-DTP) on Selfcare Behaviour Among Patients with Percutaneous Coronary Intervention (PCI): A Randomized Controlled Trial
Abstract: AbstractObjective: The study was conducted with an objective to assess the effectiveness of coronary risk reduction discharge training programme (CRR-DTP) on self-care behaviour among patients with percutaneous coronary intervention (PCI). Methods: A randomized control trial was conducted in Jan 2017 in HDHI, Ludhiana. 60 patients were selected on the basis of convenience sampling technique and randomly allocated to experimental (30) and control group (30). Coronary risk reduction discharge training programme …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 2, 2020 · pp. 41–49 Read article
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Identification of Incidence and Outcome of Diffuse-Axonal Injuries
Abstract: Background: Diffuse axonal injury (DAI), a specific type of traumatic brain injury, may be caused by shearing forces leading to widespread tearing of axons and small vessels. This study is designed to identify the incidence, risk factors, mortality and analyze outcome in DAI. Method: 120 patients with DAI were recorded in the duration of 2 years. DAI was confirmed by signs of injury identified in radiology imaging. Patients underwent surgery, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 18–22 Read article