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1319 articles for “factors”
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Tribological Performance and Wear Coefficient Prediction of AA2024–TiC Composites via Python-Based Machine Learning
Abstract: Determining wear coefficient accurately serves as a critical factor to maximize engineering materials' tribological characteristics. The experiment examines the wear characteristics of TiC-reinforced AA2024 aluminum alloy subjected to different tribological operating conditions. A pin-on-disc tribometer performed wear tests under different conditions of load and TiC weight fraction and sliding speed and duration. ANOVA statistical results show that load intensity and TiC reinforcement density stand out as principal variables that affect …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1099–1112 Read article
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Comparison of Percentage Reduction of Total Petroleum Hydrocarbon on Treatment Using Bryophylum pinnatum Leaf: The Concept of Alcohol and Water as Solvent for Constituents Extraction
Abstract: Investigation on the comparison of percentage reduction of total petroleum hydrocarbon on treatment using Bryophylum pinnatum leaf was indeed, considered by using the concept of alcohol and water as solvent for constituents’ extraction. The extracts were introduced into the various bioreactors set-up and the Total Petroleum Hydrocarbon (TPH) concentration monitored with increase in contact period. The investigation revealed decreased in TPH concentration with increased in the percentage reduction of the …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 45–52 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Impact of Friendship Quality on Self-Esteem and Resilience among Adolescents
Abstract: Adolescence is an integral developmental stage of change in social, emotional and psychological aspects of an individual's life. Friendship is an essential component of this period that helps to provide social support and emotional comfort. The present research gaps are not fully addressed by the existing literature on friendship quality, self-esteem, and resilience among adolescents. Hence, the present study sought to establish whether friendship quality and its sub-dimensions of safety, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 39–49 Read article
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MBSR for Better Health: A Narrative Review
Abstract: Introduction: MBSR is a mindfulness-based intervention created by John Kibbat Zinn in the 1970's using the principles of the Buddhist tradition. Since its creation it has found to be effective in various physiological and psychological issues such as cardiovascular diseases, diabetes, blood pressure, hypertension, anxiety, depression, and other ailments. In this particular narrative review, we screened and selected various studies that observed better physiological and psychological health post the MBSR …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 89–98 Read article
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The Role of Optimism in Reducing Psychological Distress Amongst Women in Urban Areas
Abstract: This paper aims to explore the role of optimism in reducing psychological distress among women living in urban areas. Psychological distress, encompassing anxiety, depression, and chronic stress, has become increasingly prevalent due to the fast-paced and demanding nature of urban life. Women, in particular, face unique stressors including work-life imbalances, financial pressures, safety concerns, and societal expectations, which contribute significantly to elevated levels of mental strain. Finding healthy coping strategies …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 Read article
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Fungi as Environmental Guardians: Enzymatic Solutions to Pollution
Abstract: Fungi are simple and inexpensive to cultivate, like miniature factories. Their enzymes are more environmentally friendly and safer for all to use compared to the use of dangerous chemicals. This review delves into how scientists are employing these enzymes to clean up polluted soil, purify wastewater, and even convert waste into valuable products such as biofuels.For example, fungi are amazing at cleaning! They create enzymes, which act as little workers …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 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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Rodents and Zoonotic Diseases: Environmental Drivers and Prevention Measures
Abstract: Among the most ubiquitous animal species, rats spread several human diseases. Found in cities, rural areas, and everywhere in between, rats have adapted remarkably well to living alongside people. Unfortunately, this close contact makes it easier for them to carry and pass on harmful germs. Their biology, fast breeding, and ability to host various bacteria, viruses, and parasites often without getting sick themselves make them especially effective at spreading disease.This …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 12–21 Read article
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Exploring the Therapeutic Potential of Ilāj-Bil-Ghizā (Dietotherapy) in Depression: A Systematic Review
Abstract: Background: Depression is a common mental health condition characterized by feelings of sadness, diminished interest in activities, and physical symptoms that disrupt daily activities functioning. Emerging research indicates that nutrition and dietary habits can significantly influence the management of depression. This review aims to explore the connection between diet and mental health, highlighting how nutritional approaches may complement traditional treatments for depression. Objective: This review aims to evaluate the relationship …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Unveiling the Relationship Between Anxiety and Self-Esteem in Adult Populations
Abstract: The purpose of this study was to investigate the intricate connection between anxiety and self-esteem in adult Delhi National Capital Region (NCR) residents. A purposive sample approach was employed to select seventy people from this region. The study measured participants' self-worth and gathered pertinent background data using the Rosenberg Self-Esteem Scale (RSES) and a sociodemographic data form. In the data analysis, a t-test was employed to assess significant differences between …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 35–44 Read article
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Association between Diabetes Type and Family History of Diabetes: A Cross-Sectional Analysis of Gender Differences and Genetic Influences
Abstract: Introduction: Diabetes mellitus DM is one of the fast-growing chronic metabolic disorder in the world, with high impact and burden in low- and middle-income country. Although genetic predisposition is a central determinant of diabetes risk, particularly for Type 2 diabetes (T2D), the contribution of familial aggregation varies across populations. In many parts of the world where diabetes is rising very fast understanding the relationship between diabetes type and family history …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 43–50 Read article
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Self Esteem and Sociotropy - Autonomy as predictors of Workplace Burnout among Private Sector Employees
Abstract: Workplace burnout is a growing concern in the private sector, where employees face intense performance pressures, leading to stress and reduced productivity. While job-related factors are well-documented contributors, the role of personality traits in burnout remains an area of interest. This study examines the impact of Self-Esteem, Sociotropy, and Autonomy on Workplace Burnout among private sector employees. A sample of 120 employees was analyzed using ANOVA, Pearson correlation, and multiple …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 81–89 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Psychometric Analysis of an Induced Cooling Tower in a Humid Condition
Abstract: An Induced Cooling Tower (ICT) is an energy transformation device that facilitates heat and mass transfer by leveraging ambient conditions. ICTs are particularly effective in applications requiring a large heat transfer surface area, utilizing evaporative cooling of ambient air to cool hot steam. The performance of an ICT is significantly influenced by ambient humidity and temperature, making these environmental factors critical in its design and operation. As such, ICTs are …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 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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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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A Comprehensive Food Delivery System
Abstract: The demand for quick as well as efficient food delivery options has escalated, especially in the digital era for sought-after items such as pizza. Existing systems often lack any real-time communication, and due to order status being uncertain, customer dissatisfaction subsequently arises. This project aims to develop a real-time pizza order tracker app using Node.js, Express.js, as well as MongoDB, to address these gaps by providing instant updates and a …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 01–10 Read article