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878 articles for “behaviors”
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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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Advancements in Polymeric Capillary Materials for Chromatographic Applications
Abstract: Traditionally, glass capillaries have been the material of choice due to their inertness, transparency, and precision in delivering small sample volumes. However, glass capillaries have significant drawbacks, including fragility, limited flexibility, and difficulties in modification for specialized applications. Recent advancements in polymer chemistry have introduced novel polymeric capillary materials that offer several advantages over conventional glass capillaries. Additionally, they exhibit enhanced durability and resistance to a broad range of chemicals, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 137–144 Read article
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Mechanical Characterization of Hybrid Basalt Fiber Composites with Silicon Carbide Fillers
Abstract: Natural fiber composites (NFCs) have experienced significant growth and innovation in recent research because to their advantages over synthetic fiber composites, including their lower cost and environmental impact. This paper investigates the tension and compression properties of hybrid laminate composites composed of stainless-steel wire mesh, epoxy resin reinforced with basalt fibre, and silicon carbide (SiC) filler. Composites with varying weight percentages of SiC filler (0%, 1.5%, and 3%), were made …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 582–593 Read article
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Polymer-Based Film Coatings for Enhancing Drug Stability and Shelf-Life
Abstract: Pharmaceutical stability is a crucial factor in ensuring drug efficacy and safety throughout its shelf-life. Polymer-based film coatings have emerged as an effective strategy to enhance drug stability by protecting active pharmaceutical ingredients (APIs) from environmental stressors such as moisture, oxygen, temperature fluctuations, and light exposure. These coatings act as physical barriers that prevent degradation, improve mechanical integrity, and enable controlled drug release. Various types of polymers are employed for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 558–570 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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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 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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Advanced Perspectives on Fluid Dynamics in Environmental Systems: Interactions, Impacts, and Innovations
Abstract: Environmental fluid mechanics is a multidisciplinary field that investigates the movement and behavior of natural fluids—such as air and water—in the environment, with a particular focus on understanding and mitigating the effects of human activities and natural processes. This study presents an analysis of fluid flow phenomena relevant to environmental systems, examining the transport of momentum, heat, and contaminants in both natural and engineered environments. Emphasis is placed on the …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 1–16 Read article
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Air Flow Analysis in Sensor-Based Aircraft Wings Design
Abstract: Airflow analysis, at its core, is an application of fluid mechanics principles to the specific study of air movement. Airflow analysis plays a crucial role in diverse fields, impacting everything from the comfort of our homes to the efficiency of jet engines. The pursuit of more efficient, safer, and more responsive aircraft wings is a constant driver of innovation in the aerospace industry. The quest for more efficient, safer, and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 29–39 Read article
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Stabilization of Reinforced Earth Wall Backfill Using Steel Slag and Recycled PET Fiber: A Composite Material Approach
Abstract: Reinforced Earth (RE) walls are widely used in infrastructure due to their structural efficiency and ease of construction. However, they typically require high-quality granular backfill, which may not be readily available or cost-effective in many regions. This study investigates the potential of utilizing locally available sandy clay soil stabilized with industrial and plastic waste materials specifically 20% steel slag and 0.75% shredded polyethylene terephthalate (PET) fibers, as an alternative backfill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 110–127 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 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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Design and Structural Evaluation of a Dual-Axle Trailer Frame with a Focus on Increasing Strength While Aiming to Reduce Overall Weight
Abstract: The primary objective of this project is to evaluate various cross-sections and materials for the structural frame. The frame includes elongated side components and a central longitudinal member, which is connected to several cross-supports. The design focuses on optimizing both the cross-support layout and the choice of materials, incorporating composites to enhance performance. Load conditions are also altered to achieve improved efficiency. Static simulations are performed using ANSYS, while CATIA …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 9–17 Read article
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Prevalence and Risk Factors of Neglected Tropical Diseases Among Women and Children in Rural Liberia: A Regional Perspective
Abstract: Neglected Tropical Diseases (NTDs) remain a critical public health challenge in Liberia, disproportionately affecting women and children in rural regions due to systemic inequities in water, sanitation, and healthcare access. This cross-sectional study assessed the prevalence and risk factors of NTDs among 1,000 participants (600 children above 15 years and 400 women aged 15–49) in rural Liberia using stratified and cluster sampling. Laboratory diagnostics, including Kato-Katz stool analysis, urine filtration, …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 1–7 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
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Evaluating the Effects of Self-Care Practices on Dermatology Patients at Sharda University Hospital
Abstract: Self-care is the ability of individuals, families and communities to promote their own health, prevent disease, maintain health, and to cope with illness with or without the support of a health or care worker." (WHO, 2020) This study looked into the demographics and self-care activities of patients who visited the Dermatology Department at Sharda Hospital. A descriptive survey design was used, with 50 participants aged 18-45 years selected using convenience …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 Read article
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Quality Sustainability Of Recycled High Density Polyethylene (HDPE)
Abstract: The main way to reduce the generated large amounts of polymer waste is their recycling, their return to the processes of processing and reuse. The main and most commonly used method is mechanical recycling, in which some of the characteristics of the processed material deteriorate. It is known that the properties of the recyclate are most significantly affected by the homogeneity and the degree of aging of the end-of-life plastic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 28–37 Read article
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An Experimental Investigation on the Determination of Critical Micelle Concentration (CMC) Of Various Surfactants Using the Surface Tension Method
Abstract: This study primarily focuses on the experimental investigation for determining the critical micelle concentration (CMC) of various surfactants that are commonly employed to enhance the stability of nanoparticles in base fluids. In this context, three surfactants belonging to the anionic category—Sodium Dodecyl Sulfate (SDS), Sodium Lauryl Sulfate (SLS), and the bio-surfactant Rhamnolipid—were selected, along with one non-ionic polymer, Polyvinylpyrrolidone (PVP), which is used as a surfactant. The CMC of each …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 145–153 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article