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234 articles for “assessment methodology”
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Predictive Learning Powered by AI and Sophisticated Student Engagement Techniques
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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Evaluation of the Understanding of Home Remedies for Managing Dysmenorrhea Among Adolescent Girls in Selected School of Vaniyamkulam Panchayat
Abstract: Background: India possesses a significant adolescent population critical to its future development. Addressing the health needs of this group is imperative for progress. Dysmenorrhea, characterized by painful menstrual cramps, is prevalent among adolescent girls, and home remedies are commonly used for management. This study aimed to evaluate the knowledge of home remedies for dysmenorrhea among girls at TRK Higher Secondary School in Vaniyamkulam. Objectives: The research had two main objectives: …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 52–60 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Bridging the digital divide for school students with Specific Learning Disability in India: A Systematic Literature Review
Abstract: This systematic literature review aims to investigate the educational materials now utilized in inclusive classrooms in India to close the digital divide for children with specific learning disabilities (SLD). With an emphasis on policy, assistive technology, and teacher preparedness, the goal is to assess how well these resources work to create inclusive learning environments and look at how they might be tailored to help different learners. The review followed PRISMA …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 17–25 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Using Fuzzy Control System Develop Boost DC-to-DC Converter
Abstract: The main motive of this study is to use MATLAB Simulation to design a FLC (fuzzy logical controller) for a boost DC-DC converter. By creating an FLC algorithm, the FLC was integrated into the system. This implies that the controller bases its control decisions on the concepts of fuzzy logic. The inductor has undergone extensive design and calculation work to guarantee that the transformer runs in mode of continuous conduction. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 22–28 Read article
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Comparative Study of Time Slice Windows Analysis and Impacted As-Planned Analysis for Data Center Construction Projects Using Primavera P6 24.12 Version
Abstract: Data centers are IT infrastructure that needs to be precisely scheduled and coordinated. Significant financial losses and operational failures may result from building delays. Stakeholders can assign blame and comprehend the reasons behind delays with the aid of forensic delay analysis. Because of their unique approaches and legal acceptability, TSWA, and IAPA are commonly used among the many strategies. These methods provide various ways to analyze project schedules and pinpoint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 33–51 Read article
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Reusable Plastic Advantages, Challenges, and Impacts on Waste Management and Conservation Efforts
Abstract: The widespread utilization and ill-advised removal of single-use plastics have prompted critical natural contamination and asset consumption. Accordingly, society is progressively looking for supportable other options, with reusable plastic arising as a promising arrangement. This exploration paper intends to dig into the idea of reusable plastic, investigating its advantages, difficulties, and likely effect on squander the executives and preservation endeavors. Drawing on existing writing, contextual investigations, and mechanical progressions, the …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 1, 2024 · pp. 14–22 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Application of Priestia Megaterium in the Bioremediation of Petroleum Hydrocarbon Contaminated Environments
Abstract: Petroleum pollutants pose a serious and persistent threat to environmental ecosystems, particularly affecting soil and water quality. Effective and sustainable remediation strategies are crucial to mitigate their impact and safeguard environmental health. In this context, bioremediation—using microorganisms to degrade harmful contaminant —emerges as a promising and eco-friendly approach. The present study explores the biodegradation capabilities of the bacterium Priestia megaterium, a species previously recognized for its ability to break down …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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AI Approaches in Gait and Posture Analysis: A Review
Abstract: This review synthesizes current research on the application of artificial intelligence (AI) in gait and posture analysis, focusing on methodologies, algorithms, and clinical applications. It examines the use of machine learning (ML) and deep learning (DL) techniques to extract relevant features from sensorderived data, offering objective, and automated assessments that surpass traditional methods. A systematic literature review was conducted, analyzing studies that utilized AI for gait and posture analysis with …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 1–3 Read article
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Effectiveness of a Dental Exercise Protocol in Improving Forward Head Posture: A Case Series in Young Adults
Abstract: Background: Forward Head Posture (FHP) is a common postural disorder in young adults, often exacerbated by extended screen time and poor ergonomic practices. Neuromuscular interactions between the cervical spine and mandibular system may contribute to FHP. Objective: This case series investigates the effectiveness of a dental exercise protocol in improving FHP and mandibular function in college-aged individuals. Methodology: Five participants (3 males, 2 females; ages 18–24) with CVA ≤53° underwent …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Understanding the Level of Knowledge and Attitudes of Pregnant Women on Use of Complementary and Alternative Medicine (CAM)
Abstract: Background: The utilization of complementary and alternative medicine (CAM) among pregnant women in India is on the rise. Though the pregnant women are using these therapies, they lack adequate knowledge. It is the responsibility of the health care provider to identify the knowledge to promote healthy practices and to avoid harmful practices. Method: For this investigation, a quantitative method was used. The level of knowledge and attitude of pregnant women …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 25–30 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Patellar Mobility in Elite Swimmers of Jorhat Swimming Society: A Cross-Sectional Study
Abstract: Background: Patellar mobility is vital for swimmers, affecting leg propulsion and injury risk. Understanding its role in swimming biomechanics enhances insights into knee stability and performance across different strokes. Aim: To assess patellar mobility in elite swimmers of Jorhat Swimming Society, Jorhat, Assam. Purpose: To explore the relationship between patellar mobility and swimming stroke styles, specifically focusing on knee biomechanics during the stroke. Methodology: A cross-sectional study involving 27 elite …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Machining-Induced Surface Integrity Optimization of High-Carbon Alloy Steel for Enhanced Polymer–Metal Composite Interface Performance
Abstract: The functional performance and structural reliability of polymer–metal hybrid composites are strongly influenced by the surface integrity of metallic substrates used for interfacial bonding and load transfer. In this context, machining-induced surface characteristics play a critical role in determining adhesion behavior, dimensional stability, and mechanical compatibility within composite architectures. The present study investigates the hard turning performance of a newly developed high-carbon alloy steel intended for composite-integrated structural applications, with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1531–1546 Read article
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A Study to Assess the Satisfaction Level of Children on Parent–Child Relationship Among Adolescent Girls Studying at Selected Educational Institutions in Honavar, Uttara Kannada
Abstract: Background: A strong parent-child relationship (PCR) is essential for a child’s overall development. This study aimed to explore the quality of parent-child relationships, particularly with fathers, among Indian adolescent girls. While societal attitudes have evolved, concerns remained about whether female children receive the same love, respect, and care as their male counterparts. Methodology: This research used a quantitative approach with a descriptive design. A total of 253 adolescent girls from …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Effect of Reflex Zone Therapy on Labor Pain Among Antenatal Mothers: A Descriptive Study
Abstract: Background: Pregnancy and childbirth are considered the completion of a woman’s life. Pregnancy is a period of carrying a fetus in the womb of a mother. During the period of 9 months and 7 days, a pregnant woman may undergo several physiological and anatomical changes. Hence pregnancy is a special time of life in a woman’s life. Labor pain is an excruciating pain that lasts for several minutes to hours …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article