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84 articles for “assessment methodology”
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An In-depth Analysis of Cyberattacks and Cybersecurity: New Trends and Advancements
Abstract: At present, a significant portion of global economic, commercial, cultural, social, and governmental activities and interactions, including those involving individuals, NGOs, and state institutions, takes place in cyberspace. In recent times, many businesses and government agencies around the world have been facing the growing challenge of cyberattacks and the risks associated with wireless communication technologies. As modern society becomes increasingly dependent on digital technologies, protecting sensitive information from cyber threats …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 31–38 Read article
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To evaluate the effectiveness of a structured educational program on knowledge about hypoglycemia and its management among diabetes patients living in selected urban slums of Durgapur, West Bengal
Abstract: INTRODUCTION: Diabetes Mellitus (DM) is a significant global health issue characterized by chronic hypoglycemia and an imbalance in the metabolism of carbohydrates, fats, and proteins. It has multiple underlying causes. Hyperglycemia refers to high blood glucose levels, while low blood glucose levels are known as hypoglycemia. Raising awareness about the signs and symptoms of diabetes among individuals with the condition can potentially minimize complications. OBJECTIVES: 1. To evaluate the initial …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 Read article
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A Descriptive Study to Assess Knowledge Regarding POSH Act Among Staff of Chirayu Medical College and Hospital, Bhopal, Madhya Pradesh
Abstract: Introduction: Sexual harassment is a significant health issue with severe effects on employees’ self-respect, physical mental health, and dignity. This descriptive study aimed to assess knowledge scores regarding the POSH (Prevention of Sexual Harassment) Act among staff of Chirayu Medical College and Hospital. A convenience sampling method was employed, and data were gathered using a self-designed knowledge questionnaire. The findings indicated that 41% of the staff had poor knowledge, while …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Evaluating Breast Self-examination Awareness Among Young Adult Women in Vaniyamkulam Panchayat to Create an Educational Booklet
Abstract: Introduction: Breast cancer ranks as the second most prevalent cancer worldwide and stands as the primary cancer type among women, both in developed and developing nations. It is estimated that around 25% of all cancer cases globally are attributed to breast cancer. Notably, there was a significant increase in breast cancer incidence from 2008 to 2012 on a global scale. Methods: The research utilized a quantitative methodology, employing a descriptive …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 23–30 Read article
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Assessing the Effectiveness of Visual Stimulation on Visual Perceptual Ability Among Intellectually Disabled Children
Abstract: Every child, including those with mild mental retardation, has the right to receive an education. As like normal children, mild mentally intellectually disabled children need education that can help their growth and development and to perform their daily life activities. However, learning sources for intellectually disabled children have several obstacles, including recognition of objects. The purpose of this study is to orient the use of basic articles for mild intellectually …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 12–22 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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A Study to Evaluate the Effectiveness of a Structured Teaching Program on the Knowledge and Practice of Road Traffic Accident Prevention Measures Among Teenagers
Abstract: An investigation to evaluate the impact of a structured educational program on the understanding and implementation of strategies for preventing road traffic accidents among teenagers. Introduction: Accident is an accidental injury, passing or property harm happening in a grouping of occasions. Accidents don't simply occur; they are neglectfulness, indiscretion, carelessness, and flashing absence of focus. Accidents have turned into a significant reason for dismalness and mortality, particularly among the grown-ups …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 29–40 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Machine Learning Techniques for Predicting Industries Based on Region
Abstract: In recent years, there has been a growing interest and emphasis on agricultural land preparation and its implementation among researchers, primarily due to various factors. These factors include an increased focus within the research community, a rising demand for agricultural land, and the significance of assessing soil health for ensuring robust crop production. Picture request is one such philosophy for soil and land prosperity examination. It is a staggering measure …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Review Descriptive Programme on Knowledge Regarding Diabetes Mellitus
Abstract: Context: A research study was conducted to assess the knowledge and prevalence of diabetes mellitus among elderly individuals in selected areas of Jalandhar, Punjab. The study also aimed to develop an informative guide sheet. Objectives: (1) To assess the level of understanding about diabetes mellitus among elderly individuals in the selected regions. (2) To determine the prevalence rate of diabetes mellitus among elderly individuals in the selected areas. (3) To …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Pre-Procurement Electronic Waste Management Practices in Public Offices: The case of Hawassa City, Ethiopia
Abstract: Aim: This study aims to assess the electronic waste (e-waste) management practices in governmental offices in Hawassa City, Ethiopia, with a particular focus on the pre-procurement stages. The study seeks to identify how these offices handle e-waste and the challenges they encounter in managing it effectively. Study Design: A cross-sectional study design was used to gather and evaluate data on e-waste management practices in public offices.Place and Duration of Study: …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 1–6 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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Perception and Implementation of Sports Safety Measures Among University Physical Education Instructors in Punjab: A Cross-Sectional Study
Abstract: Introduction: Considerable attention must be focused on sports safety as it is a constituent of thephysical education (PE) curriculum at the university level, in view of the frequent and vigorous engagement in physical activities. While there is general acknowledgement of the existence of safetymeasures, the extent to which such measures are put into practice may differ. This research examines the perceptions and practices related to sports safety of university PE …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 45–55 Read article