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268 articles for “Conway–Maxwell–Poisson regression”
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Process Parameters Optimization of Fiber Laser Cladded SS316 Surface Using RSM Analysis
Abstract: This paper presents the laser cladding experiments on the surface of SS316 to study the variations in process parameters, such as scanning speed (100-250 mm/min), laser power (50-250 W), and % volume of B4C (5- 25%) + SS316 powder on the mechanical, metallurgical and tribological performance of the modified surface. A central composite design (CCD) was used to develop the response surface methodology (RSM) to design the experiments and for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 186–201 Read article
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Investigating Factors Associated to Speech and Language Development Problem Among Under-five Children in Bangladesh: A Cross-Sectional Study
Abstract: Speech and Language Delay (SLD) is a developmental disorder characterized by a lag in a child's acquisition and use of spoken language compared to typical developmental milestones. It is a significant developmental concern with profound implications for cognitive, social, and academic outcomes. The objective of this study is to explore the factors associated to SLD in children and early intervention of the problem to support the children who need special …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Environmental and Sanitation Challenges and Their Role in Malaria Transmission: A Case Study of Duport Road Community, Paynesville City, Liberia
Abstract: Introduction: Environmental sanitation plays a crucial role in controlling malaria transmission, yet several factors continue to impede its effectiveness, particularly in communities with poor waste management and drainage systems. This study explores the factors that hinder proper environmental sanitation and their association with the spread of malaria among residents of Duport Road Community, Paynesville City, Liberia. Methods: A descriptive cross-sectional study was conducted, gathering data from 400 participants—both men and …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 24–29 Read article
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Immunological and Genetic Markers of Rheumatoid Arthritis Among Women in North India: A Case-Control Study
Abstract: Background: Rheumatoid arthritis (RA) is an autoimmune disease systemically afflicting women marked by chronic inflammation around the involved joints leading to joints destruction. It has both endocrinological and immunological associations as well as genetic associations but data pertaining to women of North India is scanty. Objective: This case-control study was done to evaluate the presence and significance of major immunological and genetic markers of RA in North Indian women with …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 · pp. 1–10 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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The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis
Abstract: In today’s fast-paced world, young adults face increasing cognitive demands and heightened stress levels due to academic, professional, and social pressures. At the same time, modern lifestyles have ledto a decline in meaningful interactions with nature, which may impact both cognitive function and stressmanagement. The present study, entitled "The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis," aimed to explore the effects of nature connectedness …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–9 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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Perceived Parenting Styles and its Impact on Imposter Phenomenon and Life Satisfaction in Youth
Abstract: Parenting styles play an important role in forming an individual’s perception of self, thinking process as well as their overall well-being. However, there is limited research on how different methods of parenting influences imposter feelings and life satisfaction. The aim of the study was the understand the relationship between perceived parenting styles and its impact on imposter phenomenon and life satisfaction among youth population. Data from a sample of 100 …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 136–144 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Assessing Knowledge and Awareness of Artificial Intelligence in Academic Research Among Tertiary Students in Ghana
Abstract: Background: While Artificial Intelligence (AI) technologies are evolving rapidly in education, a major deficit in tertiary students' awareness and use of AI-based academic research is observed in Ghana. Prior research notes general awareness but limited use in practice and mentions issues with trust, ethics, and accessibility. Methodology: A cross-sectional survey was undertaken with a sample size of 450 undergraduates and postgraduates from diverse disciplines through stratified random sampling. The study …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Seismic Hazard Evaluation through Attenuation Law Derivation and Response Spectrum Design: Bangladesh Case Study
Abstract: Bangladesh, positioned at the confluence of the Indian, Eurasian, and Burma tectonic plates, faces significant seismic hazards due to its complex geological setting. This research focuses on formulating empirical attenuation relationships and Creating a design response spectrum for assessing seismic risks in Bangladesh, using data from ten large earthquakes with magnitudes ranging from 6. 7 to 7. 9. The study creates Ground Motion Prediction Equations (GMPEs) for various structural periods …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 54–63 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Migrant Labor in Tea Plantations: Work Participation and Satisfaction in Cherambadi and Pandalur Region, the Nilgiris, Tamil Nadu
Abstract: The present study explored how satisfied migrant tea plantation workers were in the Cherambadi and Pandalur villages, Nilgiri district of Tamil Nadu, India. It uses a combination of research methods, drawing on both primary and secondary data sources to thoroughly examine the factors affecting job satisfaction among this specific group. The primary data collection involved surveys given to 150 respondents chosen from different tea estates in the region. These surveys …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 · pp. 9–14 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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A Study on Clinical Characteristics and The Impact Of Covid-19 In Hemodialysis Patients
Abstract: Background: The Corona Viruses Disease-19 pandemic has severely impacted Hemodialysis patients, who are vulnerable due to compromised immune systems and underlying comorbidities. Frequent Dialysis center visits increase their exposure risk to severe acute respiratory syndrome- Coronavirus Disease, and chronic inflammation, uremia, and immunosenescence may impair their immune response. Methods: This retrospective study included 60 Hemodialysis patients diagnosed with COVID-19 between January -July 2024. Data on demographics, clinical characteristics, laboratory results …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article