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132 articles for “identifying risk factors”
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Enhancing Mechanical Properties by Parameter Optimization in Fiber and Particle Reinforced Composites
Abstract: This research focuses on optimizing the mechanical and thermal properties of hybrid fiber and particle-reinforced composites through systematic parameter optimization using the Taguchi method and Grey Relational Analysis (GRA). Composites were fabricated using varying fiber volume fractions (20%, 30%, and 40%), particle sizes (20 μm, 60 μm, and 100 μm), and curing temperatures (60°C, 80°C, and 100°C) in a 3-factor, 3-level experimental design. Key properties such as tensile strength, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 75–85 Read article
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Assessment and Associated Factors of Adjustment Disorder with Mixed Depression and Anxiety of Hospitalized Patients with Pandemic Disease, COVID-19 in Ethiopia, East Africa, 2020
Abstract: AbstractBackground: Globally, the 2019 coronavirus disease (COVID-19) pandemic has raised international concern. According to world meters report, 4,545,167 cases, 1,715862 recoveries, 303,847 deaths and spread to 213 countries, and significant number increasing from day to day since December 2019. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence, and factors linked to anxiety and depression in hospitalized …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 57–65 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Precast Airport Lane Analysis of Military Air Base Using ANSYS
Abstract: This report describes the technology of using precast concrete panels for the repair of concrete pavements. The objective of the study was to assess the state-of-technology and to identify implementation challenges. The repair of concrete pavements using precast concrete panels may be an effective alternative to cast-in-place repairs, because it can reduce construction time and provide durable pavements. Construction costs of repairs using precast panels are typically higher than the …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 38–45 Read article
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An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article
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Designing a Disaster Resilient Community in Flood prone zones of Srinagar, Uttarakhand.
Abstract: Uttarakhand, a state that scuffles with the dual challenges of climate change and rapid development, is particularly vulnerable to devastating floods. This research delves into the critical issue of strengthening community resilience against such disasters. By examining the interconnected factors of preparedness, mitigation, and response, the study aims to develop a robust framework for safeguarding lives and livelihoods in flood-prone regions. A cornerstone of this research is the exploration of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 8–19 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Concurrent Infection of Influenza and COVID-19: A Review
Abstract: In December 2019, a novel coronavirus that causes respiratory illnesses was identified in Wuhan, China, and swiftly spread around the world. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a virus that spreads via the respiratory system and can cause pneumonia. Members of the Orthomyxoviridae family include influenza viruses. Although there are four genera in this family, influenza is only caused by genera A and B, which are clinically important for …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 7–15 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Physicochemical Parameters for Water-Environment Quality Testing: A Review
Abstract: The increasing threat posed by contaminants in air, water, and soil is a pressing issue globally, exacerbated by population growth, industrialization, and agricultural practices. These factors contribute to significant water pollution, introducing harmful substances that compromise human health. Natural processes, such as weathering and soil leaching, alongside mining activities, further degrade water quality. Regular monitoring of drinking water is essential, as contaminated sources can lead to a variety of waterborne …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 08–12 Read article
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Analysing Dietary Patterns and Unravelling the Factors behind Obesity: A Comprehensive Evaluation
Abstract: The purpose of this research paper is to identify the changes that occurred in the food habits of people in the past few years. This research is based on the findings for the evaluation that have been done on the food habits of people in the past few years and the rise of the rate of obesity percentage and the rate of diabetic patients in these years. And finding the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 45–50 Read article
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A Pre-Experimental Study to Evaluate the Effectiveness of a Self-Instructional Module on Knowledge Regarding Breast Self-Examination Among Adolescent Girls in Selected Higher Secondary Schools of Moradabad, Uttar Pradesh
Abstract: Breast cancer remains the most frequently diagnosed cancer among women worldwide and is a major cause of death, with its incidence steadily rising in India. Detecting the disease at an early stage greatly enhances survival rates; however, many cases are identified late due to limited awareness and inadequate access to healthcare resources. Breast self-examination (BSE) is an easy, cost-effective practice that enables women to notice early changes in their breasts. …
Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article