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157 articles for “reduction”
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Barriers to Student Expression on Mental Health
Abstract: It focuses on the challenges faced by students in openly expressing their opinions and emotions regarding mental health, which is an essential yet often sensitive topic. The research, conducted upon 52 students with an age range of 18 to 26, highlights the perceptions students have about mental health and the difficulties they face in seeking help. Even though 78.4% of the respondents emphasized the need for increased mental health awareness, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 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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A Study to Assess the Effectiveness of Protective Techniques of Facial Pressure Ulcer Among Patients on Non-invasive Mechanical Ventilation in PCCM Department at Pt. B.D. Sharma PGIMS Rohtak
Abstract: The study aimed to assess the effectiveness of protective techniques in preventing facial pressure ulcers among patients on non-invasive mechanical ventilation in the Post-Critical Care Management (PCCM) department at Pt. B.D. Sharma PGIMS, Rohtak. Facial pressure ulcers are a common complication in patients undergoing non-invasive mechanical ventilation, often resulting from prolonged pressure on facial tissues due to mask contact. This descriptive study involved a sample of 60 patients receiving non-invasive …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 10–30 Read article
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Assessing Air Quality, Climate Change, and Migration Dynamics in Delhi NCR: A System Dynamics Approach
Abstract: As climate change accelerates and environmental degradation worsens, urban centers like Delhi NCR are under increasing pressure from internal migration. Poor air quality—especially in rural and peri-urban regions—emerges both as a driver of out-migration and a deterrent for in-migration to already burdened cities. This study develops a system dynamics (SD) model that integrates climate variables, air pollution metrics, economic indicators, governance quality, and migration behavior to simulate population flows into …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 7–11 Read article
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Effect of Process Variables on the Mechanical Characteristics of form Fabricated Materials
Abstract: Additive manufacturing prominent rapidly advancing technologies for producing 3D-printed products. Initially developed by stratasys, FDM technology emerged during the 1980s. This additive manufacturing technique builds products by extruding semi-molten material through a nozzle onto a platform. PLA and ABS are among numerous thermoplastics that are commonly used as filaments in this procedure. Purpose of research was to observe the effect of variables such as infill percentage, bed temperature, printing speed …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 32–39 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Innovations and Practices in Ornamental Horticulture: Integrating Landscape and Garden Design for Sustainable Aesthetics
Abstract: Ornamental horticulture is a specialized branch of horticultural science focusing on the cultivation, management, and utilization of plants for decorative and environmental purposes. With growing urbanization and lifestyle shifts, the importance of aesthetically pleasing and ecologically sustainable green spaces has significantly increased. Landscape design and garden design, both integral components of ornamental horticulture, contribute not only to the beautification of spaces but also to environmental conservation, mental well-being, and biodiversity …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 13–19 Read article
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Future Challenges of Photocatalytic Water Splitting: Sustainability
Abstract: Photocatalytic water splitting has emerged as a promising technology for sustainable hydrogen production through the direct utilization of solar energy. This process mimics natural photosynthesis, using semiconductor materials to absorb light and drive the decomposition of water into hydrogen and oxygen. The method provides a sustainable and eco-friendly solution to the global energy challenge by enabling the reduction of carbon emissions. Among various solar-to-chemical energy conversion approaches, photocatalytic water splitting …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 43–48 Read article
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The Effect of Rare Earth (RE) Metal Doping of Zno, On Magnetic and Optical Properties of Zno Crystals Structure
Abstract: The magnetic and optical properties of magnetic semiconductors relays on the crystal structure, type and amount of dopant ions, and particle size. Then, the effect of rare earth metal (Dy, Eu, and La) doping on crystal structures, magnetic properties and optical properties are seen. It is revealed that the optical band gap of ZnO decrease down from 3.37eV up on doping with RE metals. Then, the Hamiltonian of the system …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 28–40 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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A Study to Assess the Effectiveness of Education Module on Psychological Stress Experiences and Coping Among Staff Nurses Working in COVID Ward at a Selected Hospital in Bangalore
Abstract: Occupational stress is a growing concern among healthcare professionals, particularly staff nurses working in COVID wards. The study aimed to explore the sources and effects of occupational stress among staff nurses at Suprabha Hospital, Bangalore, using a pre-experimental one-group pretest-post-test design. 60 staff nurses working in COVID wards were selected through convenient sampling. The results showed that younger nurses, those from joint families, and those with less work experience reported …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 21–26 Read article
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Recent Advancements and Current Status of Hydrogen Fuel Cells: Materials, Systems, Applications, and Commercialization Prospects
Abstract: In the transportation, stationary electricity, and industrial sectors, hydrogen fuel cells have become a crucial clean-energy technology that can help achieve worldwide decarbonization. Significant progress has been made in catalyst design, membrane engineering, stack architecture, system optimization, and hydrogen generation pathways throughout the last ten years (2018–2025). Platinum group metal (PGM) loading has been significantly reduced, single-atom and transition-metal-nitrogen-carbon (M-N-C) catalysts for oxygen reduction have been developed (Wu et al., …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 6–24 Read article
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Investigation of the Solvent Extraction Using Alcohol and Water on Bryophylum pinnatum Leaves for Total Petroleum Hydrocarbon Degradation on Loamy Soil
Abstract: Investigation of the solvent extraction using alcohol and water on Bryophylum pinnatum leaves for total petroleum hydrocarbon degradation on loamy soil was monitored for the purpose of evaluating the Micheal’s Menten functional parameters as well as the coefficients. The maximum specific rate of the total petroleum hydrocarbon (TPH), which was expressed as Vmax and the rate of the dissociation of the TPH, which is denoted as Km was computed in …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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The Impact of Bacteria and Biostimulants on Crude Oil Breakdown in Loamy Soil
Abstract: This study investigates the influence of bacteria and biostimulants—specifically Bryophyllum pinnatum leaves soaked in both water and ethanol—on the degradation of crude oil in loamy soil. A laboratory-scale bioremediation setup was employed using a batch reactor model and first-order degradation kinetics to assess total petroleum hydrocarbon (TPH) breakdown under controlled conditions. Various analytical tools and procedures, including gas chromatography (Agilent 6890) and microbial media such as nutrient agar and mineral …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Assessing the Increasing Incidence of Prostate Cancer in Urban Delhi: Risk Factors, Early Detection, and Treatment Challenges
Abstract: Background: Prostate cancer has emerged as the second most prevalent cancer among men in India, with rapidly increasing incidence rates in urban areas like Delhi. This rise is attributed to urbanization, lifestyle changes (high-fat diets, tobacco use, sedentary behavior), increased life expectancy, and improved diagnostics. Despite its growing burden, low awareness, limited screening programs, and treatment barriers hinder early detection and effective management. This study examines the epidemiological trends, risk …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 21–28 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article