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1011 articles for “structured data”
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Implementation of Concurrent Nursing Audit as a Method for Developing Quality Nursing Care
Abstract: Introduction: Audits are a method of evaluating the care process. It not only improves care qualitybut also helps nurses to acquire and use the knowledge, skills, and attitudes necessary for creating ameaningful, productive, and satisfying working environment. A nursing audit is the process ofevaluating the quality of nursing care through the review of clinical records made by healthcareprofessionals. Objectives: (1) To measure the degree of quality of patient care against …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 1, 2022 · pp. 19–26 Read article
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Efficacy of Educational Intervention on Knowledge Regarding High-Risk Pregnancy and Its Management in Terms of Knowledge Gain Among Antenatal Women
Abstract: Background: High-risk pregnancies are associated with increased maternal and fetal complications and require timely identification and proper management. Many antenatal women have limited knowledge regarding high-risk conditions and the necessary precautions. Structured teaching programs can significantly improve awareness and empower mothers to take proactive steps for safe pregnancy outcomes. Aim: To assess the effectiveness of a structured teaching program on knowledge regarding high-risk pregnancy and its management among antenatal women …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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An Introduction to Proteome Bioinformatics
Abstract: For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 7–9 Read article
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Polypropylene Fibres in Cementitious Composites: A Critical Review of Polymer Structure, Processing, Interfacial Behaviour and Performance
Abstract: Polypropylene (PP) fibres are widely used as secondary reinforcement in cementitious composites, yet their performance is governed as much by polymer structure and interfacial chemistry as by dosage. This review synthesises 50 primary sources (2003-2025, concentrated post-2015) to examine how PP molecular structure, fibre-manufacturing history, morphology, surface properties and environmental ageing govern fibre-matrix interaction and multiscale composite performance. Isotacticity, molecular weight, crystallinity and drawing ratio are shown to set the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Nurses’ Attitude and Its Contradictory Factors Towards Nursing Profession
Abstract: Background: Many studies have confirmed that nursing has job related stress. The aim of study was to examine nurses' attitude towards nursing profession with their contradictory factors such as hospital management unease, work environmental discomforts, etc. Method: The descriptive correlational study was conducted on registered staff nurses of two multispecialty hospitals of Nadiad city. 80 nurses were selected with purposive sampling technique. A structured questionnaire and a self-administered five-point Likert …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 3, 2022 · pp. 24–30 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Enhancing Security and Privacy in Smart Factory: A Blockchain Based Solution
Abstract: The manufacturing industry is currently experiencing a transformative shift due to the rise of smart factories, propelled by interconnected devices and automated systems. However, this integration of diverse technologies within smart factories introduces significant concerns regarding security and privacy. This research paper thoroughly investigates the vulnerabilities and threats prevalent in smart factory ecosystems, shedding light on the potential risks associated with centralized data storage and communication channels. The study emphasizes …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 13–20 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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VALIDATION OF WATERSHED MANAGEMENT PLAN AT TARADGAON REGION USING GEOPHYSICAL & GIS TECHNIQUES
Abstract: Water is an essential requirement for the survival of the living organisms on earth planet. Though it seems to be available in sufficient amount, unfortunately its distribution in space and time is highly scattered. Therefore, water resources management practices should be identified using the spatial data set collected through remote sensing and other tools for its optimistic usage and exploration. This study investigates the utilization of Geophysical and GIS Techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Seismic Hazard Evaluation through Attenuation Law Derivation and Response Spectrum Design: Bangladesh Case Study
Abstract: Bangladesh, positioned at the confluence of the Indian, Eurasian, and Burma tectonic plates, faces significant seismic hazards due to its complex geological setting. This research focuses on formulating empirical attenuation relationships and Creating a design response spectrum for assessing seismic risks in Bangladesh, using data from ten large earthquakes with magnitudes ranging from 6. 7 to 7. 9. The study creates Ground Motion Prediction Equations (GMPEs) for various structural periods …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 54–63 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Geospatial Measurement of Shrinking Lake Mead Using Multi-Temporal Datasets From 1987 to 2020 and Its Relationship with the Climate Change
Abstract: The study provides an overview of the relation between climate change and its harsh consequences, and thereby revealing evidence of extremes conditions such as drought. Lake Mead of USA is one such example which is a readily contracting lake. The reason is fast temperature increment, human exploitation, etc. therefore leading to jeopardized and devastating effects on life structure. GIS and Remote Sensing has emerged as an extraordinary key instrument for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 18–27 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Knowledge and attitude of postnatal mothers towards Human Breast Milk Banking in a selected Hospital
Abstract: Background: Breast milk is universally endorsed as unique, innate and vital feed, gifted by nature for neonates. Human Breast milk banks function as stockpile for women who are incapable to provide their own breast milk to their unwell or confined infants. In Indian scenario, donation of breast milk is an emerging notion and has been introduced among few metropolises across the nation. Unavailability to breastmilk foster infants more susceptible to …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 10–18 Read article
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Rise of Nationalism in Globalized Society
Abstract: This comprehensive study explores the intricate phenomenon of the resurgence of nationalism on a global scale, examining its multifaceted dimensions, underlying drivers, and potential implications for contemporary societies. In the complex landscape of the 21st century, the resurgence of nationalism has become a prominent and dynamic force, influencing political, social, and economic structures worldwide. The research methodology employed in this study integrates both qualitative and quantitative analyses, drawing on historical …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 59–68 Read article