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1011 articles for “structured data”
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Breast Cancer Awareness among Rural Women in South Indian City
Abstract: Breast cancer is the most common leading cause of women deaths worldwide. It is the only knowledge of breast cancer and breast self-examination that can lead to early diagnosis and treatment of women suffering from it to assess the knowledge of women regarding breast cancer and breast self-examination. In a descriptive study of 100 women between age group 20–50 years, the data was collected by using structured interview schedule and …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 1, 2016 · pp. 20–23 Read article
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Manganese Mercury Thiocyanate Doped Zirconium Silicate Crystal Structure for Photo-Electronic, Electro-Optic and Sensor Applications
Abstract: Manganese mercury thiocyanate is a well-known organometallic crystal prized for its nonlinear optical properties. The high second harmonic efficiency of nearly 18 times that of urea and the wide optical transmittance window (373–2250 nm) of MMTC indicate that this material is an excellent candidate for photonics device fabrication. The metal thiocyanates and their Lewis-base adducts are one of the interesting themes of structural chemistry. For MMTC is a very flexible …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 Read article
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A Study to Assess the Effectiveness of an Information Education Communication Module Regarding Health Hazards of Junk Food Among Late Adolescent at Selected Villages
Abstract: Junk food refers to ready-to-eat foods that are prepared and served quickly, including a wide range of fast-food products. In recent years, the popularity and consumption of junk food have risen markedly in India, particularly among adolescents and young adults, who constitute the largest consumer group. This growing preference has made junk food a regular component of the dietary patterns of many adolescents in developing nations. Frequent consumption of these …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 19–25 Read article
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Assessment of Knowledge, Attitude, and Practice Regarding Ankle Sprain Management Among Sports Persons
Abstract: Ankle sprain is a frequently occurring musculoskeletal injury among athletes and sports participants. If not treated properly, it can result in pain, joint instability, and decreased athletic performance. The present study was conducted to evaluate the knowledge, attitude, and practices (KAP) of sports persons regarding the management of ankle sprain. A descriptive cross-sectional research design was used, involving 100 participants selected through convenience sampling. Data were gathered using a structured …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 8–13 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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A Study to Assess the Effectiveness of Lecture-Cum-Demonstration on Knowledge and Practice Regarding Biomedical Waste Management Among Allied Health Science Students at GIMS, Gadag
Abstract: Background: Biomedical waste management is a critical aspect of healthcare practice, and inadequate knowledge and poor handling can pose serious risks to health professionals, patients, and the environment. Allied Health Science students, as future healthcare providers, must be well-versed in the principles and practices of biomedical waste management. This study aims to assess the effectiveness of a lecture-cum-demonstration program on improving knowledge and practice related to biomedical waste management among …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 27–53 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article
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The Importance of Self-Care for Healthcare Professionals in North India: A Regional Analysis of Burnout, Resilience and Institutional Support
Abstract: Background: Burnout in healthcare professionals is described using the framework of Occupational Health and Resilience Theory, where self-care is an individual-level coping mechanism and institutional support is an organizational-level moderator. However, there is a lack of regional data from North India on the structural and contextual factors influencing burnout. Healthcare workers (HCWs) in North India face mounting pressures due to high patient loads, limited mental health resources, and overlapping professional …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 24–29 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 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 women—between …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 24–29 Read article
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Case Study on the Limitations of Prefabricated Building Technology in Ethiopian Building Industry: The Case of Addis Ababa
Abstract: AbstractWorldwide, prefabricated method of construction (PMC) is the most practicable and effective method of construction. However, in Ethiopia it is not further growing and the construction sector depends on conventional method of construction (CMoC). On the contrary, the building construction industry in Ethiopia is increasing due to tremendous growth in population and fast urbanization. The purpose of this study was to investigate the critical causes that limit the application of …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 11–17 Read article
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In Silico Analysis and Molecular Docking Studies of COX-2 Inhibitors for Anti-Inflammatory Activity
Abstract: Although nonsteroidal anti-inflammatory drugs (NSAIDs) are frequently used to treat pain, lower fevers, and control inflammation, they frequently cause gastrointestinal side effects because they inhibit the COX-1 and COX-2 enzymes. Despite their effectiveness and lack of gastrointestinal side effects, selective COX-2 inhibitors have been linked to cardiovascular risks. To find new COX-2 inhibitors that are safer and more effective, this study uses in silico techniques, such as molecular docking and …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 38–55 Read article
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Exploring Glucagon-like peptide-1 as a Target Protein for Diabetes Mellitus Treatment: Molecular Docking and Pharmacokinetic Analysis of Phytocompounds from Momordica charantia
Abstract: Objective: This study aimed to use molecular docking techniques to explore the potential of GLP-1 (glucagon-like peptide-1) as a target protein for the treatment of diabetes mellitus, a chronic metabolic disease marked by elevated blood glucose levels. Given its crucial role in maintaining insulin secretion and glucose homeostasis, GLP-1 may serve as a future target for diabetes therapy. Method: The study employed a multi-phase method. Initially, protein extraction was carried …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 8–20 Read article
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Assessment of Knowledge and Estimated Burden of Life Style Diseases in a Rural Community
Abstract: Although rapid human evolution has brought about advancement, it has also caused several lifestyle ailments. People’s daily routines have drastically changed as a result of emerging technologies, and it paved the way for numerous life style disorders. According to reports, lifestyle diseases are a major cause of increased mortality globally. Our study highlights the prevalence of life style diseases in the rural community and the need for early identification and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Effectiveness of Structured Teaching Programme on Knowledge Regarding Disaster and Disaster Preparedness among School Going Children
Abstract: Introduction: A disaster is an extreme description of the functioning of a society that causeswidespread human, material, or environment losses that exceed the ability of the affectedsociety to cope using only its own resources. Incidents such as cyclones, landslides andhurricanes, by themselves are not contemplated as natural catastrophe. Rather, they becomedisasters when they adversely and seriously affect human life, livelihood and property.Disaster alertness, therefore, attempt to ready for and minimize …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 2, 2020 · pp. 44–50 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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Energy performance analysis: An exploratory study of HVAC systems in efficient management of data centres
Abstract: Data center growth is being driven by the rapid proliferation of cloud services. Data centers are using an increasing amount of energy. The network is severely impacted by server workloads, cooling, and supporting equipment. The study aims to identify the energy consumption involved in building services and their operations and analyze the ways in efficient management of performance in data center. The objective of the study is to identify the …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 51–71 Read article