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1949 articles for “Structural” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Adoption of Artificial Intelligence in Periodontal Diagnostics: Awareness, Confidence, and Barriers Among Dental Practitioners in India
Abstract: AI has emerged as a transformative tool in healthcare, including periodontics, where it aids in diagnosing periodontal diseases, assessing bone loss, and predicting disease progression. Despite its potential, the adoption of AI in dentistry, particularly in India, remains limited. This study aimed to evaluate the awareness, confidence, and willingness of dental practitioners to adopt AI-based tools in periodontal diagnostics. A cross-sectional survey was conducted among 106 dental practitioners, including general …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 27–38 Read article
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A Study on Perception and Behavior of Consumers Towards Digital Financial Transactions
Abstract: The rapid evolution of digital technology, coupled with increased smartphone usage and proactive governmental policies, has revolutionized the landscape of financial transactions. This study examines consumer perceptions and behavioral patterns related to digital payment systems, with a specific focus on usage trends, preferences, and concerns. Utilizing primary data collected through a structured survey of 110 respondents in North Delhi, the research reveals that digital transactions are predominantly perceived as convenient, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 60–69 Read article
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Phubbing, Social Anxiety and Perceived Control in Young Adults
Abstract: This study examines the complex interactions among ten empirical studies on social anxiety, phubbing (phone snubbing), and perceived control. Psychological research has focused a great deal of attention on social anxiety, which is characterized by the fear of being negatively evaluated in social situations. Phubbing, the practice of people prioritizing their phones over interpersonal interactions, has become more common in recent years due to the widespread use of smartphones. This …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 18–25 Read article
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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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Use of GIS and Electrical Resistivity Survey to Assess the Rainwater Harvesting Potential Carried in the Wadala Village Region of North Solapur Taluka, Solapur District for Watershed Management of the Region
Abstract: In watershed management, rainwater is the only source which needs to be conserved and collected from the open sources. The other way of collection is in the form of groundwater i.e. Aquifer. Solapur district receives average rainfall and the present selected study area receives poor rainfall, i.e., 534 mm. This village forms the major developed region in North Solapur, but due to high irrigation in the region over-exploitation has taken …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 24–38 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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Hybrid Polymer Nanocomposites with Enhanced Dielectric and Optical Properties for Wireless Communication Systems
Abstract: The incorporation of nanofillers into polymer matrices offers a promising approach to enhancing the multifunctional properties of composite materials. This study examines the effect of nanofiller concentration on the dielectric performance, mechanical strength, thermal stability, optical absorbance, and electromagnetic interference (EMI) shielding effectiveness of polyvinylidene fluoride (PVDF)-based nanocomposites. Titanium dioxide (TiO₂) and zinc oxide (ZnO) nanofillers were incorporated at varying concentrations to assess their influence on material properties. EMI shielding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 518–549 Read article
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In-Silico Docking of Rubia cordifolia Phytocompounds as Potential MMP-2 Inhibitors for Varicose Vein Management
Abstract: Varicose veins are one of the most common disorders, affecting the vein structure and function of lower limbs, yet there has been no absolute cure found yet. One of the underlying causes for worsening of the condition is the proteolytic activity of MMPs which are a group of enzymes that affect the extracellular matrix (ECM) surrounding the affected veins. Phytocompounds of Rubia cordifolia (Manjishta) were docked against the MMP-2 protein …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 31–42 Read article
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Leveraging Large Language Models for Personalized Document Summarization and Question Answering: An Architecture for Stoner-Friendly Chatbots
Abstract: This study presents a detailed framework for developing personalized chatbots that utilize large language models (LLMs) to process and extract information from extensive documents while effectively responding to user inquiries. The proposed system is designed to mitigate information overload by employing advanced natural language processing techniques, leveraging technologies such as OpenAI, LangChain, and Streamlit. By integrating these tools, the framework enhances knowledge retrieval, simplifies document comprehension, and improves overall productivity. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 88–93 Read article
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Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Formation and Spectral with Nano- Study of Six and Seven Membered Ring Derivatives
Abstract: The nanoscale properties of some organic chemicals make the materials have multiple engineering, chemical, biological and industrial applications, including heterocyclic derivatives. Advanced research in this field has made it possible to use them widely as fluorinated materials and in the electronics industry. These derivatives also have good stability at different temperatures due to the presence of heterogeneous atoms within their structure. These cyclic derivatives have proven their biological effectiveness against …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 85–95 Read article
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Nano-Materials in Vaccine Formation and Chemical Formulae’s for Vaccination
Abstract: For centuries, vaccines have been a cornerstone of public health, preventing debilitating and deadly diseases. However, the development and delivery of effective vaccines have always been met with challenges. From stability issues and limited immune response to the need for specific targeting, scientists are constantly seeking innovative approaches to improve vaccine efficacy and accessibility. Enter nanomaterials – minuscule materials with dimensions at the nanoscale – offering a powerful toolkit to …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 27–39 Read article
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A Comprehensive Analysis of Novel Liposomes: Categorization, Approach, Description, and Present Formulations
Abstract: Liposomes have gained attention as a promising drug delivery system, which come with the advantages of biocompatibility, ability to load hydrophilic and hydrophobic drugs, and they can function for targeted drug delivery. In this regard, this paper offers a comprehensive overview on novel liposomes, including classification, formulation strategies, detailed structures, and current pharmaceutical applications. Recent advances in liposomal drug delivery systems includes, new liposomal architectures (i.e. stealth, targeted, stimuli-responsive, hybrid …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 15–20 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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Analysis of Rear Suspension Geometry of an ATV
Abstract: This research presents the design and optimization of a rear suspension system specifically developed for an All-Terrain Vehicle (ATV), with the primary goal of enhancing ride quality, handling, and overall dynamic performance across diverse terrains. A key objective is to improve damping characteristics while minimizing unwanted changes in track width and wheelbase during suspension articulation. The study carefully examines critical suspension parameters, including camber angle, toe angle, and wheel travel, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 275–286 Read article
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Perspectives of 3D-Printed Polylactic Acid-Based Composites Reinforced with Natural Fibers
Abstract: The growing demand for sustainable and biodegradable materials has led to the development of polylactic acid (PLA)-based composites reinforced with natural fibers. This study investigates the mechanical, thermal, printability, and environmental performance of 3D-printed PLA/Natural Fiber composites, addressing key challenges in fiber-matrix compatibility, structural integrity, and biodegradability. Natural fiber reinforcement enhanced Young’s modulus and flexural strength, but excessive fiber content led to agglomeration, reduced tensile strength, and increased brittleness. Thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 649–664 Read article
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Thermo-Mechanical and Electrical Properties of Multi-Walled Carbon Nanotube-Enhanced Polyimide Composites for Aerospace Thermal Protection Systems
Abstract: Advanced aerospace thermal protection systems (TPS) require multifunctional materials that simultaneously provide high thermal stability, mechanical strength, and reliable electrical performance. Polyimide (PI) is widely used in aerospace structures due to its lightweight design and exceptional thermal durability, yet its low thermal conductivity and insulating behavior limit its effectiveness in heat dissipation and electromagnetic interference (EMI) shielding applications. This study addresses these limitations by developing multi-walled carbon nanotube (MWCNT)-reinforced polyimide …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 966–982 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 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