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1011 articles for “structured data”
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Integrating Network Pharmacology And Molecular Docking To Investigate The Possibility Of Rutin Against Gout
Abstract: Objective: Gout is an arthritic condition resulting from the deposition of monosodium urate crystals in and around the joints. Rutin, a bioflavanoid or a plant pigment that is mainly found in vegetables and fruits.It is widely known for its anti-inflammatory and antioxidant activity.Hence this research paper proposes the use of an integrated approach of network pharmacology and molecular docking to investigate the potential of Rutin as a treatment option for …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 14–27 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Hand-Writing Recognition Using Structural, Statistical Features
Abstract: One of the very crucial challenges in pattern recognition operations is handwriting recognition, often known as handwritten number recognition. The processing of bank checks, the sorting of postal mail, the entry of data into forms, etc. are all procedures involving number recognition. The ability to create an efficient algorithm that can retrieve handwritten integers submitted by drug users via a scanner, tablet, and other digital gadgets is at the core …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 8–14 Read article
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Identification of Elastic Constants of Polymer based Composites through Vibration Test Data
Abstract: This paper presents sex per mental and analytical methods of determining elastic constants of two different kinds of materials. Elastic constants of unidirectional glass/epoxy laminates and Aluminium from the measured eigenfrequencies has been performed. Traditional ‘strike method’ is adopted for the exciting the structure and response is obtained through accelerometer. Vibration analysis is carried out using frequency response function (FRF) measurement technique to determine natural frequencies and mode shapes. Elastic …
Published in Journal of Polymer & Composites · Vol. 5, Issue 3, 2017 · pp. 16–21 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Advanced Digital Twin and AI Integration for Real-Time Optimization in Polymer Production
Abstract: The integration of Internet of Things (IoT) with Artificial Intelligence (AI) technologies opens up considerable avenues for reshaping polymer manufacturing by improving operational effectiveness, securing exceptional product standards, and advancing sustainability in the environment. This academic manuscript delineates an advanced framework that integrates IoT and AI with synergistic technologies, including blockchain, edge computing, and digital twin methodologies, to revolutionize polymer manufacturing processes. The proposed architecture utilizes IoT sensors for the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 81–89 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Enhancing Breastfeeding Practices Through a Biopolymer-Based Educational Intervention
Abstract: Background: Breastfeeding difficulties are common among new mothers, and knowledge gaps can contribute to these challenges. Educational interventions hold promise in improving breastfeeding practices. This study aimed to evaluate the effectiveness of a biopolymer-based educational intervention in enhancing mothers' knowledge and practices regarding breastfeeding problems and their prevention. Methods: A quantitative pre-post-test design was employed with a sample of 54 postnatal mothers in a multispecialty hospital. A biopolymer-based educational intervention …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 114–118 Read article
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The Role of Digital Detox in Improving Mental Health
Abstract: This study examines digital detox—the deliberate limitation of screen exposure—and its influence on mental health. A survey of 30 participants indicated that reducing screen time by at least two hours daily resulted in a 30% improvement in sleep quality, a 25% decrease in stress levels, and a 20% enhancement in overall mood stability. Statistical analysis (p < 0.05) confirmed these results. Additionally, participants following a structured digital detox plan reported …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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Prediction of Compressive Strength of Concrete Using Machine Learning Techniques
Abstract: Compressive strength of concrete is an important parameter for designing any concrete structure. Compressive strength of concrete is a complex nonlinear function of its ingredients. Prediction of Concrete compressive strength plays a vital role in pre design phases of the structure and quality control of construction. The conventional methods of compressive strength determination are time consuming, so the use of data mining methods to predict the strength beforehand is helpful. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 34–41 Read article
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A Study to Assess the Effectiveness of Planned Teaching Programme Regarding Road Traffic Accident and Its Prevention among the Adolescents (11th to 12th Class) in Selected School of Bhilai (C.G.)
Abstract: Road traffic injuries are the leading cause of death among children and young adults aged 5–29 years. The main objective of this study was to assess the pre-test post-test knowledge regarding road traffic accident and its prevention among adolescents. Quasi-experimental, one group pre-test post-test research design was taken on. A total of 60 samples were selected using non-probability purposive sampling technique. The tool used for the study comprised of two …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 59–65 Read article
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The Power of Narrative: A Mixed Methods Investigation of Storytelling in Social Media Based Social Cause Campaigns and Its Impact on Audience Engagement Among Young Adults
Abstract: Background: The proliferation of digital platforms has fundamentally transformed how social cause organisations communicate with their target audiences. Storytelling has emerged as a strategic tool for driving emotional resonance and behavioural change among young adults a demographic that is both digitally native and increasingly socially conscious. This study investigates (1) how storytelling in social media–based social cause campaigns influences the digital interaction behaviour of young adults, and (2) whether such …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 37–48 Read article
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Prevalence of Lower back pain in a sample population of Musculo-skeletal disorders - Cross sectional community based study
Abstract: Musculoskeletal Disorders (MSD) is a global term for several types of disorders affecting the body’s joints, ligaments, muscles, nerves, tendons and structures that support limbs, neck and back. Low back pain (LBP) is most common musculoskeletal disorder defined as pain and discomfort, localised below the costal margin and above the inferior gluteal folds, with or without referred leg pain.LBP is one of the most common conditions encountered in clinical medicine.LBP …
Published in Research and Reviews: A Journal of Medicine · Vol. 11, Issue 2, 2021 · pp. 38–44 Read article
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Demonstrative Research of Group VII Elements of the Periodic Table: Characteristics and Properties of Chemical Behavior
Abstract: The elements in Group VII, commonly referred to as halogens, are non-metals that exhibit similar chemical characteristics and a high level of reactivity, which can be attributed to their electron configuration. This paper seeks to provide an overview of the relationship between the electron structure and chemical behavior of the Group VII elements found in the periodic table. The primary goals include elucidating how the electron configuration influences the physical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 2, 2025 · pp. 18–26 Read article
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Vibration Mechanics of Hybrid Al 5083/SiCp/Fly Ash Composite Plates for its Use in Dynamic Structures
Abstract: Metal Matrix composites are a unique class of materials, with specific characteristics. The selection of reinforcement phase for reinforcing the metal matrix depends on many parameters and is a major concern, Silicon carbide particulates (SiCp) enhances the hardness of specimens but on the other hand it induces brittleness in the specimen which is of major concern, henceforth fly ash particulates are thought of as an alternative reinforcement for improving the …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 1, 2017 · pp. 11–18 Read article
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Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 Read article
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Assess the Knowledge Regarding Usage of Plastic Leading to Cancer Risk and Their Preventive Measures Among House Wives in Selected Area Vaniyamkulam
Abstract: This study explores the level of awareness among housewives in Vaniyamkulam about the potential cancer risks associated with the use of plastic materials in households, along with their knowledge of preventive measures. The proliferation of plastic usage in daily life has raised significant health concerns, particularly its potential to release carcinogenic compounds such as bisphenol A and dioxins, which can leach into food and beverages. Given the critical role housewives …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 12–17 Read article
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Understanding of Research Bias in Herbal Medicine: A Comprehensive Review
Abstract: Background: The communication and generation of knowledge are central to research. In herbal medicine, with its deep historical roots, research must be methodologically rigorous and unbiased to validate traditional knowledge in modern contexts. Bias, defined as any tendency preventing objective evaluation of a research question, compromises validity and reliability. Objective: To highlight types of research bias in herbal medicine and discuss strategies for minimization to ensure credible and applicable findings. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 31–35 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article