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365 articles for “experimental approaches”
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New Design Formulae for Safety and Precision in the Fatigue Engineering of Mechanical Components and Structures
Abstract: This paper introduces two new formulae, termed the Nori Fatigue Formulae, for determining the maximum allowable fatigue stress in mechanical components and structures with significant stress concentrations. These formulae will eliminate the usage of code-sensitive safety factors along with other factored values from the entire mechanical design engineering work, ranging from a safety pin to spacecraft. The first formula gives the maximum allowable fatigue stress in tension, and the second …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 6–24 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 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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A Study to Assess the Effectiveness of Cradle Hold Position on the Gratification During Breastfeeding Among Postnatal Mothers Admitted at Selected Maternity Hospitals in South Bangalore, Karnataka
Abstract: This study aims to assess the effectiveness of the cradle hold position on the satisfaction experienced during breastfeeding among postnatal mothers admitted at selected maternity hospitals in south Bangalore, Karnataka. The cradle hold position is a commonly used breastfeeding technique where the mother supports the baby's head with one hand and holds the baby's body with the other arm, bringing the baby's mouth to the breast. The level of satisfaction …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 30–36 Read article
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A Study to Assess the Stress and Anger Management by Deep Breathing Exercise and Meditation Among Adolescent Nursing Students at a Selected Nursing School in Delhi
Abstract: Introduction: Stress is a response that can lead to physical, emotional, or psychological strain. It is a frequent occurrence in daily life. Stress acts as the body's natural mechanism for defense against potential threats and dangers. It initiates a release of hormones that ready the body's functions to either confront danger head-on or retreat, commonly known as the fight-or-flight reaction. Anger can be caused by both external and internal events …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Study of Efficient HVDC Boost Converters: Design Challenges and Solutions
Abstract: The boost converter is a fundamental circuit topology in power electronics, widely used for voltage step-up applications. This article explores the design principles, operational characteristics, and performance analysis of boost converters. It delves into key components such as the power switch, inductor, capacitor, and control circuitry, elucidating their roles in achieving efficient voltage conversion. The use of a high voltage direct current (HVDC) boost converter for bug zapper purposes is …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 42–48 Read article
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Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes Among Nursing Students
Abstract: Living a healthy lifestyle is essential for preventing chronic diseases and maintaining physical, psychological, and social well-being. The present study, titled “Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes among Nursing Students” aimed to address key challenges faced by nursing students and evaluate the impact of a structured teaching program. The study employed a quantitative research approach using a pre-experimental design …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 42–47 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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An Evaluation of the Effectiveness of a Self-Instructional Module on First Aid and Safety Measures for School Children (Aged 11–14 years) at PDR VVP Vidyalaya, Loni
Abstract: Background: School children are active youngsters. India is home to nearly 500 million young individuals, with approximately 370 million being children under 15 years old, highlighting their crucial role as the future of the country. Young children often exhibit naughty, defiant, and impulsive behavior. According to the World Health Organization’s Global report, in the South-East Asia Region, road traffic accidents, drowning, burns, and other injuries are leading causes of child …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 17–22 Read article
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An Investigation into the Impact of a Structured Teaching Program on the Knowledge of Women’s Rights in India Among Working Women in Selected Government Organizations in North Gujarat
Abstract: A study was conducted to evaluate the impact of a structured teaching program on the knowledge of women’s rights in India among working women in the government sector of North Gujarat. The research used an evaluative approach, specifically a pre-experimental design with a one-group pre- test and post-test. A non-probability purposive sampling method was used to select participants from a government sector in North Gujarat. The sample included 50 women …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 23–27 Read article
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Exploration of Diverse Epoxy-Based Surface Coating Methods for Enhancing Anticorrosion Characteristics
Abstract: Epoxy-based polymers, commonly referred to as polyepoxides, constitute one of the most versatile and widely adopted categories of polymeric materials due to their exceptional structural, mechanical, and chemical characteristics. Their unique macromolecular framework enables strong interfacial bonding, high mechanical stability, and superior resistance to environmental and chemical degradation, positioning them as advanced alternatives to many traditional organic corrosion inhibitors that often fail under prolonged exposure to aggressive conditions When polyepoxides …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 167–177 Read article
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Fundamental Principles of Fluid Behavior and Emerging Trends in Modern Fluid Mechanics Research
Abstract: Fluid behavior forms the foundation of numerous engineering technology and scientific applications, including aerospace flows, energy systems, and environmental processes. This paper presents a comprehensive overview of the fundamental principles governing fluid behavior, with a strong emphasis on their relevance to recent trends in fluid mechanic’s research. Core concepts such as fluid statics, fluid dynamics, and conservation laws are discussed to establish a solid theoretical framework. The study further examines …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 14–21 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Evaluating the Impact of a Structured Teaching Program on Caregivers’ Awareness of the Adverse Effects of Bottle Feeding in a Chosen Community Area: A Quasi-Experimental Study in Shri Goindwal Sahib, Tarn-Taran, Punjab
Abstract: Background of the study: Breast milk is the recommended nourishment for all infants. All the babies regardless the type of delivery should be given early and exclusive breastfeeding up to 6 months of age. Except breastfeeding, there are many practices followed by caregivers like bottle feeding, cup feeding, paladai feeding, katori and spoon feeding etc. but one of the most common practice is India is bottle feeding which causes various …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 39–44 Read article
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Evaluation of CI Engine Performance and Emissions Using WB10CNT90: A CNT-Reinforced Biodiesel Blend Approach and its Marketing Prospects for sustainable fuel Commercialization
Abstract: The experimental and analytical evaluation of the WB10CNT90 blend—a combination of 10% waste biodiesel derived from Madhuca longifolia, 90% conventional diesel, and 100 ppm Multi-Walled Carbon Nanotubes (MWCNTs)—demonstrates its potential as an efficient and eco-friendly alternative to conventional diesel. The Brake Thermal Efficiency (BTE) of the engine increased by approximately 15%, indicating enhanced energy conversion efficiency during combustion. Simultaneously, the Brake Specific Fuel Consumption (BSFC) showed a reduction of nearly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 741–759 Read article
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Investigation on Structural Behavior of RC Beam-Column Joints: State-of-the-art
Abstract: Beam-column joints (BCJs) are critical structural elements in buildings, influencing overall structural performance and safety. This review paper presents a comprehensive analysis of findings of research showing concern about various aspects of BCJs, focusing on eccentricity effect, numerical investigation, joint behavior, shear strength, retrofitting strategies, and recent advances. Through experimental studies, numerical simulations, and analytical approaches, various studies have made significant progress in understanding BCJ response to various loading circumstances …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 40–68 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article