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367 articles for “meta-data”
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Recognition and Mapping of Structural Guides for Barytes Mineral Exploration in Parts of Kadapa District using Remote Sensing and GIS
Abstract: Identification and mapping of structural criteria of a region reveals information about the occurrence of ore deposits of igneous and metamorphic origin. Remote Sensing and GIS data helps in detection of such structural features, like faults, lineament, folds, etc. These are important guides for exploration of ore mineral and groundwater. Kadapa district hosts important ore minerals of igneous and metamorphic origin like Barytes, asbestos, gold, galena, steatite etc. Barytes is …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 30–36 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Design and Evaluation of Dynamic Testing in Object Oriented Programming Through Computational Techniques
Abstract: Software testing is one of the most labour-intensive and expensive phase of the software development life cycle. It is an important and valuable part of it. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a numerous search-based optimization techniques are available for better accuracy in testing. The aim of this paper is to …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Metal Tolerance Potential of A. fumigatus and Comparative Analysis of Biosorption through Control and Trained Biomass
Abstract: Heavy metal pollution in water because of the discharge of industrial effluent imposes serious environmental concerns. Copper is one of such pollutants which is are considered as toxic, non-biodegradable and persistent in nature. Removal of heavy metals through conventional treatment strategies can cause many technical problems. Filamentous fungi have the ability to accumulate significant amount of heavy metals from their environment. Therefore, the potential of resistant fungal biomass as biosorptive …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 2, 2019 · pp. 71–82 Read article
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Molecular Mechanisms of Drug Metabolism in Anesthesia: A Pharmacogenomic Perspective
Abstract: Pharmacogenomics studies how a person’s genetic profile affects their reaction to drugs, which is vital in anesthesia. Anesthetic pharmacology depends significantly on drug metabolism, which involves complex biochemical processes that manage the absorption, distribution, metabolism, and excretion (ADME) of anesthetic drugs. The cytochrome P450 (CYP) enzyme family plays a critical role in the metabolism of various anesthetic drugs, with genetic polymorphisms leading to inter-individual variability in drug responses. Specific CYP …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 90–95 Read article
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Exploring Gelatin Film an Eco-Friendly Biomaterial: Synthesis, Characterization, and Environmental Applications
Abstract: This study explores the synthesis, characterization, and application of eco-friendly gelatin films, a sustainable and biodegradable biopolymer alternative to synthetic plastics. Synthesized via solution casting and characterized by UV-Vis spectroscopy, FTIR, and TGA, these films demonstrated excellent molecular integrity and thickness-dependent properties, with higher gelatin concentrations leading to thicker films and delayed solubility. The research highlights their significant potential in removing diverse environmental pollutants, including dyes (methylene blue, methyl orange), …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Adsorption of Pb2+ from Simulated Solution using Raw Kola nut Pod Adsorbent
Abstract: This study investigated the removal of the Pb (II) ion from an aqueous solution using kola nut pod as a natural adsorbent. The batch adsorption experiment was carried out, and the parametric effect on removal of heavy metals was also investigated. kinetic data such as pseudo-first, second, and intraparticle diffusion models during the adsorption process were also evaluated. The optimum dose of adsorbent for Pb (II) removal was 2.5 g …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 1, 2023 · pp. 38–49 Read article
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A Review on Advances in Personalized Medicine: from Genomics to Clinical Applications
Abstract: Personalised medicine, also known as precision medicine, is a revolutionary approach to healthcare that customises medical interventions and treatments for individual patients according to their distinct genetic, environmental, and lifestyle properties. The basic pillar of personalised medicine is genomics, and the area has seen an explosion of genetic information with the advent of high-throughput sequencing tools. Genomic data now provide unprecedented insights into the underlying genetic variations, mutations, and genetic …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 2, 2023 · pp. 13–17 Read article
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Indirect Treatment Comparison in Meta-Analysis Using Three Methods for Rheumatoid Arthritis
Abstract: Background: The data were extracted from the comparative effectiveness review (CER) on pharmacological treatments for rheumatoid arthritis (RA) developed by the International University of North Carolina Evidence Based Practice Center (UNC EPC). The included studies enrolled patients with active RA despite oral disease-modifying antirheumatic drugs (DMARD) therapy. The outcome measures of choice were American College of Rheumatology (ACR) 20/50/70 response rates.Objective: To compare and find the best treatment for RA …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 22–27 Read article
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Raspberry Pi Based Tactical Autonomous Surveillance System
Abstract: In the ever-evolving realm of security and surveillance, the need for autonomous systems capable of operating in challenging environments has become increasingly evident. The Raspberry Pi-Based Tactical Autonomous Surveillance and Self-Destruction System addresses this need by combining advanced sensor technology, robust communication capabilities, and a self-destruction mechanism to provide a comprehensive security solution. This project proposes a Raspberry Pi-based tactical autonomous surveillance system that can be used to monitor and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Parkinson’s Disease Detection on Spiral Images Using CNN with Meta-Classifiers
Abstract: In this work, we provide a detailed method for identifying Parkinson’s Disease (PD) by integrating Convolutional Neural Network (CNN) and meta-classifiers. Through the utilization of a varied dataset consisting of handwritten spiral images, our methodology demonstrates commendable accuracy across a range of models. Specifically, our CNN model with meta-classifiers surpasses alternative approaches, achieving an impressive accuracy rate of 95.07%. By utilizing pre-established VGG16 and ResNet50 architectures as bases, the region-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 55–66 Read article
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Prevalence of Depression in Women with Polycystic Ovary Syndrome (PCOS)
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Poly cystic ovary syndrome (PCOS) is a frequent endocrine abnormality affecting 5–10% women of reproductive age worldwide. PCOS is a heterogeneous condition representing diverse clinical, reproductive, metabolic and psychological implications like hirsutism, infertility, androgenic alopecia, insulin resistance, diabetes mellitus type 2, and cardiovascular diseases. There is enormous data regarding PCOS association with clinical manifestations’ and metabolic diseases but little is known …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 4, Issue 3, 2014 · pp. 11–16 Read article
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Evaluating Epidemiological and Physical Risk Factors in the Development of Chemotherapy-induced Peripheral Neuropathy (CIPN): An In-depth Systematic Review and Meta-analysis
Abstract: Background of study: Chemotherapy-induced peripheral neuropathy (CIPN) encompasses a range of adverse effects caused by various cytotoxic medications and stands as a primary source of pain among individuals who have survived cancer. In instances of pronounced and sudden CIPN, it might become necessary to diminish chemotherapy dosages or discontinue their application. Currently, no efficacious strategy exists for proactively preventing CIPN, managing established chronic CIPN is constrained, and the risk factors …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 10–21 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Biosorption of Fluoride from Aqueous Solution Using Ulva fasciata sp.: A Marine Green Algae
Abstract: Water is a useful and vital natural resource for sustaining life and environment that we have always thought to be available in abundance and free gift of nature. Enhanced industrial activity during recent decades has led to the discharge of unprecedented volumes of industrial waste water, which is a serious cause of environmental degradation. Excessive fluoride concentrations have been reported in ground waters of more than 20 developed and developing …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 45–53 Read article
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Synthesis of Zeolite Y-Encapsulated Copper(II) Complexes with Aminobenzonitriles and Carbonitriles by Flexible Ligand Method
Abstract: Zeolite Y encapsulated copper(II) sulphate complexes with 2-, 3- and 4- aminobenzonitrile and carbonitrile have been prepared by flexible ligand synthesis method. Complexes are characterized by magnetic susceptibility, infra-red and electronic spectral techniques. The data clearly suggests the presence of metal complexes in zeolite matrix.
Published in Journal of Catalyst & Catalysis · Vol. 1, Issue 1, 2014 · pp. 41–52 Read article
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Smart Bio-Polymer Composite Systems for Sustainable Bio-Polymer Composite Media for Enhanced Pollutant Removal in Constructed Wetland Systems Using Machine Learning
Abstract: Constructed wetlands are widely used for wastewater treatment due to their low cost and ecological compatibility; however, their efficiency in removing emerging contaminants remains limited. This study presents the development of biodegradable polymer-based composite materials integrated into wetland filtration systems to enhance pollutant removal efficiency. Bio-polymers combined with natural fillers such as biochar and clay were synthesized and evaluated under simulated wetland conditions. The results demonstrate improved adsorption capacity, increased …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 190–200 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Physico-Chemical Analysis of Chambal River water at two different sites of Rajasthan, India
Abstract: The physico-chemical properties of the Chambal River in the National Chambal Sanctuary have been investigated. In recent years, the deterioration of water quality has gradually made Chambal River water unsuitable for various beneficial uses. Maintaining and restoring the health of the river in terms of its ecological sustainability is today the logical necessity. The present study addresses physico-chemical parameters of the Chambal River in the national protected area of Rajasthan …
Published in Journal of Water Pollution & Purification Research · Vol. 7, Issue 3, 2020 · pp. 13–19 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article