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159 articles for “design strategies”
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Integrating Green Infrastructure in Urban Development and Street Design: A Comprehensive Approach to Sustainable Urbanization and Environmental Planning
Abstract: This study examines the comprehensive integration of green infrastructure in both urban development and street design as a critical approach to achieving sustainable urbanization and effective environmental planning. It explores the role of green spaces, permeable pavements, tree-lined streets, and natural water management systems in addressing urban challenges such as heat islands, flooding, and air pollution. Case studies from cities worldwide are reviewed to demonstrate the environmental, social, and economic …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 8–15 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Unveiling the Role of Lead Molecules in CADD: A Systematic Review
Abstract: The word "medicate plan" alludes to the objective creation of modern drugs. Arbitrary screening of engineered compounds, engineered of organically dynamic compounds based on actually happening drugs, amalgamation of basic analogs of actually happening lead particles, and usage of the bioisosteric hypothesis are a few of the strategies that have been utilized. As a result, the most recent drift in medicate plan is to either completely enhance a lead or …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 37–43 Read article
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Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Steel Structural and Functional Characteristics Focusing on Corrosion Mechanisms
Abstract: This research article examines steel structural and functional characteristics, focusing on corrosion mechanisms and inhibitor protection strategies. Steel corrosion affects numerous industries, causing significant economic losses and safety risks. Fundamental electrochemical processes behind various corrosion forms including uniform, pitting, crevice, galvanic, intergranular, and stress-induced corrosion are explained. The chapter highlights the steel industry's importance while investigating how corrosion impacts performance and longevity. Protection methods discussed include material selection, environmental modification, …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 25–34 Read article
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Multifunctional Materials for Electro-Mechanical Applications: Synergistic Integration of Strength and Conductivity
Abstract: The integration of mechanical strength and electrical conductivity within a single material system has emerged as a critical requirement in the development of next-generation multifunctional materials. These materials are increasingly sought after in fields such as aerospace, flexible electronics, energy storage, and structural health monitoring, where the traditional separation of structural and functional materials leads to inefficiencies in weight, space, and overall performance. The convergence of these properties enables compact …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Dynamic Modeling and Simulation of Multi-Body Mechanical Systems: A Comprehensive Review of Methods, Tools, and Applications
Abstract: The dynamic modeling and simulation of multi-body mechanical systems (MBS) form a cornerstone in modern mechanical engineering, enabling in-depth analysis of the kinematic and kinetic behaviors of interconnected rigid and flexible components. MBS are foundational to a range of critical applications, from automotive suspensions and aerospace mechanisms to robotics and biomechanical structures. As system complexity and performance requirements increase, accurate and scalable modeling techniques are essential for both design validation …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article
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Impact of a Nurse-Led Work-Based Intervention on Job Performance and Job Satisfaction Among Nurses in Selected Hospitals in Erode
Abstract: Job satisfaction is a critical aspect of nurses’ professional lives, influencing patient safety, staff morale, productivity, performance, and overall quality of care. Higher levels of job satisfaction have been linked to improved patient outcomes. This study aimed to assess the level of job satisfaction among staff nurses before and after a nurse-led work-based intervention, evaluate the effectiveness of the intervention, and examine the association between posttest job satisfaction scores and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 19–27 Read article
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Assessing the Impact of a Structured Educational Initiative on Awareness of Vaginitis and Its Prevention Among Adolescent Girls in Selected Higher Secondary Schools in Bengaluru
Abstract: Background and Objectives: Vaginal inflammation, referred to as vaginitis, may culminate in discharge, itching, and pain. Usually, the root cause is an infection or an altered in the balance of the microbes in the vagina. In females between the ages of two and six, poor perineal hygiene—such as wiping after bowel movements from back to front or not washing hands afterward—is an important contributory factor. Another typical sign is frequent …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 10–21 Read article
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AI Bias: Causes, Impacts, and Ways to Address It
Abstract: As artificial intelligence (AI) continues to permeate various aspects of society, from healthcare and criminal justice to finance and hiring, concerns over its ethical implications have gained increasing attention. A significant ethical concern is the existence of bias in AI systems. Such biases, often rooted in the prejudices present in training data, can lead to unfair and discriminatory consequences, disproportionately affecting marginalized groups. This paper examines the ethical challenges related …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 55–62 Read article
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How small circuits power big technology in the world of VSIL
Abstract: Very Small Integration Level (VSIL) circuit technology represents an emerging class of ultra- compact, low-power electronic design methodologies that enable the creation of highly efficient and scalable systems. This article explores the fundamental principles behind VSIL circuits, including device miniaturization, optimized layout strategies, adaptive power management, and noise-resilient architectures. We also look into the methodical engineering of VSIL circuits to satisfy the ever-tougher performance, robustness, and long- term energy-efficiency demands …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 44–53 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Designing a Pure Talent Management Model in the Growth Centers of Technological Units of Islamic Azad University with the Foundation's Data Approach
Abstract: Talent management is one of the management fields that has experienced the greatest growth in the last two decades. Due to its competitive nature, for the first time the concept of talent management was proposed in private organizations and large multinational companies and was widely welcomed. Therefore, the main goal of this research is to design a lean talent management model in Islamic Azad University technology development centers with a …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 45–50 Read article
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Review of Control Strategies in Lower Extremity Exoskeleton
Abstract: Personal mobility is one of the biggest challenges for ensuring the quality of rehabilitation in the lives of Persons with Locomotor Disabilities (PwLDs) and old aged persons. In order to ensure effective orthotic rehabilitation, there is need to design and develop more and more automated aids and appliances. In order to know the status of research a study has been made on the controllers of lower limb exoskeleton (LLE). In …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 9–21 Read article
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Ethical AI and Data Protection in the Era of Industry 5.0
Abstract: This paper provides a comprehensive analysis of the critical intersection between Responsible AI (RAI), data privacy, and the Industry 5.0 paradigm. Industry 5.0, defined by its human-centric, sustainable, and resilient pillars, introduces a fundamental paradox: its core requirement for human-AI collaboration necessitates the collection and processing of granular human data, creating direct conflicts with emerging global data privacy and AI regulations. This research utilizes a systematic integrative review methodology, analyzing …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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The Parasitic Fingerprint: Tracing Infection to Host Illness
Abstract: Parasitic infections remain a major global health burden, causing significant morbidity and mortality, particularly in tropical and subtropical regions. A critical aspect of disease pathogenesis is the unique molecular and cellular imprint left by parasites in their hosts, termed the “parasitic fingerprint.” These fingerprints encompass parasite-derived proteins, nucleic acids, metabolites, extracellular vesicles, and host responses, including gene expression changes, cytokine profiles, and metabolic adaptations. Advances in multi-omics technologies, which integrate …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 29–50 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Climate Change and Air Pollution Dynamics: Synergistic Effects and Mitigation Strategies
Abstract: Climate change and air pollution are deeply interlinked environmental problems that jointly exacerbate human health, ecosystem integrity, and economic well‑being. As global temperatures rise, shifts in meteorological conditions—such as increased heat, altered precipitation, and more frequent extreme weather events—modify pollutant generation, dispersion, chemical transformation, and removal processes. Meanwhile, many sources of air pollution are also sources of greenhouse gases (GHGs), giving rise to potential co‑benefits or trade‑offs when formulating mitigation …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 38–42 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article