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597 articles for “GUI”
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Instagram Therapists vs. Qualified Mental Health Professionals: How Young Adults Perceive and Navigate Mental Health Advice Online
Abstract: The growing presence of “Instagram Therapists” - individuals who share mental health advice on Instagram without formal qualifications - has raised important questions about the credibility of online mental health information. In contrast, are qualified mental health professionals and licensed practitioners. Existing literature shows a surge in young adults turning to social media for mental health guidance. However, limited research delves into how they perceive and differentiate between advice from …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 26–37 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Real Time Alcohol Detection with Accident Prevention System Using Arduino
Abstract: The aim of our research work is to present a project designed to make human driving safer and to significantly reduce road accidents caused by drunk driving. This project integrates an MQ3 alcohol sensor with an Arduino-based system using the ATmega328 processor, which offers enhanced functionality compared to conventional microcontrollers. The MQ3 sensor is capable of detecting alcohol content in a person’s breath and has a sensitivity range of approximately …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 19–26 Read article
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Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article
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Revitalizing Urban Canyons Through Innovative Thermal Strategies
Abstract: Urban canyons, environments very densely made up of tall buildings clustered on narrow streets, are treacherous when it comes to considerable heat retention and greatly increase wind speeds. The resulting conditions fuel the Urban Heat Island effect. That means urban canyons feel very hot and this of course harms both comfort and health of those who dwell in them. This research tackles the serious issue of discomfort due to heat …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Leveraging Artificial Intelligence (AI) and Digitalization of Community Health Screening in Unani Medicine: Bridging Tradition with Technology – A Perspective Review
Abstract: AI and digitalization bring a great opportunity for reforming and even improvement of traditional healthcare systems in Unani physiology. This review, therefore, observes the important role played by AI and digital health solutions in modernizing health screening and diagnostic procedures in Unani medicine, thereby bridging traditional healing practices with contemporary technological advancement. AI refers to the advantages that may accrue via wearable health devices and telemedicine in real-time monitoring, early …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 20–31 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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Chronic Obstructive Pulmonary Disease (COPD) in Younger Adults: Challenges and Considerations – A Review
Abstract: Chronic Obstructive Pulmonary Disease (COPD) phenomenon rapidly converting into chronic significant health issues for many young adults. A disease calculated for older age gives way to early-onset COPD, which creates new issues for diagnosing and treating the illness and even interacts with the quality of life. The article reviews the epidemiology, risk factors, pathophysiology, clinical presentation, and treatment considerations related to this set of conditions. From those risk factors, early-onset …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 08–19 Read article
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Cybersecurity in a Digital World: Risks and Future Perspectives
Abstract: The field of information security offers a wide range of guidance in academic and practitioner literature. While various strategies such as deterrence, deception, detection, and reaction are explored, most research focuses on technological countermeasures to prevent security threats. This study presents the findings of a qualitative study conducted in Korea, examining how businesses utilize security techniques to safeguard their information systems. The results highlight a strong emphasis on preventive measures, …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 44–49 Read article
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Nyaya-AI ChatBot: AI-Powered Legal Assistance for India
Abstract: In today's fast-paced world, the rise in lifestyle related issues has led to a significant increase in case filings across various sectors, including health, finance, and legal matters. Modern lifestyles, characterized by poor dietary habits, sedentary behavior, and high stress levels, contribute to a myriad of health problems and legal disputes. A chatbot designed to provide legal advice in India could be a valuable resource for individuals unfamiliar with the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 Read article
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Measuring Tree Diversity of Sitaram Peth Village of Bhadravati Taluka of Chandrapur District by Applying Whittaker’s Additive Model
Abstract: Forest plays a major role for sustaining biodiversity and various ecological services. There are 12 tribal districts in the Maharashtra state, which holds about 60 percent of total forest cover of the state. And among these tribal districts, Chandrapur and Gadchiroli together shares about 46 percent of forest cover. For the better conservation and management practices, the tree diversity of these forest should be measured periodically. In the present study, …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 49–54 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Evolution of CSS Frameworks: From Bootstrap to Utility-First Design
Abstract: CSS frameworks have become integral to modern web development, offering developers predefined styles and components that simplify the design process, ensure visual consistency, and accelerate deployment. Over the years, these frameworks have evolved significantly: from traditional component-based architectures, such as those seen in Bootstrap and Foundation, to more flexible utility-first methodologies like Tailwind CSS. This study explores the evolution of CSS frameworks by highlighting the contrasting approaches of these widely …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Evaluating the Role of Integrated Digital Tools in Enhancing Workforce Productivity in SMEs: A Case Study of the WorkWiz Management System
Abstract: This article investigates the potential impact of integrated digital management tools on workforce productivity in Small and Medium Enterprises (SMEs). While digital transformation is widely recognized as a key driver of productivity, SMEs face unique implementation challenges including resource constraints, workforce technical capabilities, and cultural adaptation. We examine how unified digital tools could affect individual and organizational productivity across attendance management, inventory control, communication, and administrative functions through a simulation …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 16–27 Read article
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Excessive screen time: Understanding its long-term impact on health and behavior
Abstract: In today’s world, digital gadgets, like laptops, game consoles, smartphones, and televisions, are essential since they provide entertainment and convenience. However, their overuse has raised serious concerns regarding long-term health and social implications. This review investigates the extensive effects of excessive screen time on mental, physical, and social well-being, with a special emphasis on children and adolescents. The growing amount of time toddlers and preschoolers spend in front of screens …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 13–21 Read article
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Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Depression Detection using Machine Learning: A Comprehensive Review
Abstract: Depression is a leading mental health disorder worldwide, often underdiagnosed due to subjective assessment methods. The increasing availability of digital behavioral data and the advancement in machine learning (ML) have opened new avenues for automated depression detection. This review presents a comprehensive overview of recent developments in ML- based approaches for detecting depression. It explores data sources, feature extraction techniques, learning algorithms, evaluation methods, and highlights current challenges and future …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 Read article