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156 articles for “Database development”
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Computational Investigation of Withania somnifera Compounds Targeting S. pombe SMN YG-Dimerin Spinal Muscular Atrophy: Insights from Molecular Docking Analysis
Abstract: Objectives: The primary objective of this study is to determine the potential of phytochemical constituents of Withania somnifera in treating spinal muscular atrophy, an autosomal recessive genetic neurodegenerative disorder, through computational techniques. To investigate the binding affinity of phytocompound to the target protein S. pombe SMN YG-Dimer through molecular docking. Besides, evaluating the pharmacological attributes of phytochemical constituents to assess their ability as an ideal prospect for developing therapeutic medication. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 39–52 Read article
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Theraplay: An Essential Element for Children with Autism—A Narrative Review
Abstract: Children are wonderful blessings that God has given to parents. A child with autism presents significant deficit or delay in various mental functions from early childhood, or developmental disorders or disabilities. Parents and caregivers require assistance in bringing out normal developmental skills of autistic children. They should be supported with the knowledge of disease condition and care of the child, the features and home care management of Autism Spectrum. Research …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 1, 2020 · pp. 36–38 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Review on Darunaj-aqrabi (Doronicum hookeri C.B. Clarke): an Unexplored Medicinal Plant of Unani System of Medicine
Abstract: Introduction: The rhizomes of medicinal plant Darunaj-aqrabi (Doronicum hookeri C.B. Clarke ex Hook.f.) (Family Asteraceae) has long been used in Unani system of medicine (USM) as Cardiac tonic (invigorative and exhilarant), nervine tonic, carminative, protective of the foetus, antidotary etc. in different dosage forms. It is included in specific drugs for heart and is much valuable for palpitation. Because of having antidotal characteristics and protective (corrective) attributes, the rhizomes are …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 2, 2020 · pp. 41–52 Read article
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Research Output in Medical Science Using Various Databases: A Review
Abstract: Research encompasses innovative and creative work undertaken on a systematic and scientific basis in order to increase the stock of knowledge, including knowledge of humans, culture and society, and the use of this stock of knowledge to invent new applications. Research output is regarded as a measure to the progress and development of a nation. In the present milieu, a nation prosperity, power and economy is determined by its research …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 2, 2015 · pp. 8–12 Read article
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Green Finance and India’s Climate Commitments: Aligning Financial Systems with Sustainable Development Goals
Abstract: India’s commitment to addressing climate change, as reflected in its Nationally Determined Contributions (NDCs), net-zero ambitions, and alignment with the United Nations Sustainable Development Goals (SDGs), has placed green finance at the center of the country’s sustainable development agenda. Green finance involves directing capital and investment flows toward projects and initiatives that are environmentally sustainable. It supports efforts to reduce climate-related risks, enhance resilience to environmental changes, and promote economic …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 49–54 Read article
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Design of Weather Monitoring System Using Application Programming Interface
Abstract: Nowadays, it is typical that people need detailed and easily available information about current weather and weather forecast. A solution to this requirement can be a mobile application which communicates with a data server and provides all useful information in an easily useable interface. As a result, an Android based mobile application is developed. The system which we have put forward is a Mobile Application for tracking various weather constituents …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 43–46 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Pore-structural Parameters of Concrete, their Inter-Relationship and Correlation to Compressive Strength
Abstract: An extensive literature review was carried out on various forms of pore structural parameters (pore diameters) of concrete such as critical pore diameter, mean pore diameter, and threshold pore diameter and their correlations to compressive strength of concrete. From the review of the literature, it has been observed that the inter-relationships among various forms of pore diameters and their correlation to compressive strength of concrete have not been discussed much …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 102–112 Read article
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BLOCKCHAIN-BASED DIGITAL ASSETS MANAGEMENT (CASE OF DECENTRALIZED AUTONOMOUS ORGANIZATIONS)
Abstract: The advent of Web 3.0 and the rise of decentralized applications (DApps) are reshaping the very fabric of the Internet. Gone are the days of centralized control, as Web 3.0 empowers users with greater privacy, security, and ownership over their data. Web 3.0 represents a paradigm shift from Web 2.0, which primarily relied on centralized platforms and intermediaries. The Blockchain technology is really important for the Web 3.0. It makes …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Drive Cycle Database Method for Performance of Vehicles Depending on Driver Behavior, Vehicle Type and Traffic Condition
Abstract: Automobile manufacturers are looking for cheap ways to evaluate their products for specific customer needs as more demands are placed on their performance. The drive cycle is a crucial component of the vehicle development process. The driving cycle is used to understand the driving patterns of vehicles which also shows vehicle speed and road conditions by collecting data points along the way. A Global Positioning System (GPS)-based system was used …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 20–29 Read article
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Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM)
Abstract: Structures abound in writing about Sustainable Supply Chain Management (SSCM). Nevertheless, no effort has been made to date to identify the anomalies in the systems that are in place now and the associated research trends. This research is motivated primarily by a survey of SSCM structures and feature abnormalities. The analysis also promotes new applications and aids in the analysis of SSCM structure constructions and exploration patterns. Using the Scopus …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 26–41 Read article
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Molecular Docking Analysis of Berberis aristata Phytocompounds as Potential Growth Factor Receptor Blockers in Cancer Therapy
Abstract: Middle-aged and older women are susceptible to breast cancer (BC), a potentially fatal condition. When breast cancer is diagnosed, the median age is 62. Breast cancer diagnoses in women under 45 are comparatively uncommon, whereas the bulk of breast cancer diagnoses occur in women 62 and older. Growth factor receptors are interesting therapeutic targets because of their critical role in the pathophysiology of cancer. Vascular endothelial growth factor receptors (VEGFR-2) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Green Human Resource Management: Trends in Sustainable and Agile Human Resources Research in SMEs
Abstract: Small and medium-sized enterprises (SMEs) collectively have a significant environmental impact, despite each individual SME having a relatively small footprint. To mitigate this impact, the implementation of green human resource management practices is crucial for effective workforce management within SMEs. However, SMEs face challenges in executing these strategies and ensuring long-term business continuity. This study aims to establish a theoretical framework for a business model that can assist SMEs in …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 9–33 Read article
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Using Multitarget Molecular Docking to Examine the Antiviral Potential of Clerodendrum Phlomidis against Measles
Abstract: Objective: Measles, a viral disease caused by a member of the Paramyxoviridae virus family, is highly contagious and characterized by a respiratory illness and a maculopapular rash on the skin. Children are the main victims of the illness. In the context of drug development, this study investigates the efficacy of phytocompounds derived from Clerodendrum phlomidis against the target protein of the measles virus. Methods: The 7SKS protein was retrieved from …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 32–42 Read article
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Design and Development of a Location-Based Household Service Management System
Abstract: Household services play an important role in maintaining day-to-day life, especially in urban areas where people depend on external professionals for tasks such as plumbing, electrical work, and general repairs. However, users often face difficulties in finding reliable service providers quickly and efficiently due to unorganized systems and a lack of a centralized platform. This paper presents a location-based household service management system, a web-based application designed to connect users …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 43–56 Read article
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Wildfire Detection and Tracking System
Abstract: To create a precise forecast of the wildfire, it is crucial to possess the capability to recognize it and anticipate how it will distribute. The devastation of vegetation, the loss of assets, the rise in greenhouse gases, the extinction of Numerous animal species and even human fatalities can all result from wildfires. To trim back this danger, there must be a mechanism capable of detecting a fire the moment it …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 21–29 Read article