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367 articles for “meta-data”
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A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
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Phytochemical Analysis of Organic Compounds as an Indicator of Metal Uptake in Selected Plants
Abstract: Plants contain a number of potential chelating agents such as amino acids, organic acids, peptides, and proteins, etc. These chelating compounds are very important for the physiological processes in plants. In addition, these ligands are found in both hyperaccumulator and non-hyperaccumulator plants and play a vital role in metal uptake from contaminated soil. Many organic compounds have been found to bind and accumulate trace and toxic metals in hyperaccumulating plants. …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 3, 2020 · pp. 8–12 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 1–20 Read article
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The Emerging Roles of the School Librarian in the Tech Era: A Transformative Synergy with NEP 2020 and KVS Initiatives
Abstract: The implementation of the National Education Policy (NEP) 2020 in India mandates a radical paradigm shift in the school education ecosystem, moving from rote-based learning toward a 5+3+3+4 pedagogical structure centered on critical thinking and multidisciplinary exploration. This paper employs a Qualitative Policy-to-Practice Synthesis (QPPS) design to analyze the evolving role of the school librarian as a strategic catalyst within this framework, with a specific focus on the Kendriya Vidyalaya …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 15–21 Read article
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A Study of Groundwater Contamination of Patiala District as a HOT SPOT in Punjab
Abstract: Patiala is a part of Malwa belt of Punjab which has reported highest contamination due to heavy metals and other ionic pollutants in groundwater. The Department of Water Supply and Sanitation's (DWSS) Punjab Statement on Water Quality Monitoring and Mitigation paints a dismal picture of Punjab's current water quality situation. It is estimated that around 50% habitations are having poor quality of water due to high contamination of arsenic, iron, …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 1, 2023 · pp. 1–13 Read article
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A Structure-based Design Approach to Catharanthus roseus Phytoconstituents as Potential Inhibitors of B-Cell Lymphoma 6 Protein
Abstract: Objectives: Lymphoma is a cancerous disease. It develops into millions of people worldwide. Identify the naturally active compounds from Catharanthus roseus, they have multiple values in the medicinal field of Siddha, and Indian Ayurveda are used as a disease-preventing agent. Drug illness prediction, toxicity prediction, statistical information, molecular docking, as well as absorption, distribution, metabolism, and excretion (ADME) analysis are used to predict the fit ligand as a drug. Methods: …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 14–34 Read article
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A Research Study on Cognitive Health Benefits of Nicotine to the Human Body
Abstract: Background: Nicotine has been primarily known for its addictive properties and associated health risks, particularly in tobacco products. However, recent research has highlighted nicotine’s potential cognitive health benefits, especially in neurodegenerative diseases like Alzheimer’s and Parkinson’s. This study investigates smoking prevalence across mental health conditions, and cognitive impairments in various psychiatric disorders, and explores the possible cognitive health benefits of nicotine. Methods: Data on age and gender distribution, smoking prevalence, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 16–23 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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Anti-hyperglycaemic Effect of Psidium guajava Extracts in Diabetes Mellitus: Systematic Review and Meta-analysis
Abstract: Introduction: Psidium guajava belonging to family Myrtaceae is traditionally used plant for the treatment of diabetes in many countries of the world. This systematic review was designed to determine level of evidence of on the anti-hyperglycaemic effect of Psidium guajava extracts from experimental trials. Methods: An electronic literature search from the database inception was performed since December 2014 with specified terms and defined outcome. We included only experimental study designs …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 1, 2019 · pp. 26–33 Read article
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Exploring Azadirachta indica’s Potential to Combat Visceral Leishmaniasis Through GP63 Inhibition
Abstract: Objectives: Millions of people worldwide suffer from the parasite disease visceral leishmaniasis. Determine the naturally occurring active ingredients in Azadirachta indica, which are employed as a disease-prevention agent and have several uses in medicine. To choose the best ligand to use as a medication, absorption, distribution, metabolism, and excretion (ADME) studies and molecular docking are employed. Methods: To obtain the GP63 protein, the Protein Data Bank (PDB) database was accessed. …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 1–12 Read article
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A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework
Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article
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A Case-control Study on the Impact of Obesity on the Physical and Mental Health of Children
Abstract: The primary objective of the research is to determine prevalence of metabolic comorbidities in obese children. Specifically, we aim to assess the occurrence of hypertension, type 2 diabetes, stress and depression in this population. This study is conducted upon children and adolescents aged 2-19 years. A total of 2874 studies was searched and collected from electronic databases like PubMed, PubMed Central and Google Scholar by the use of keywords. Upon …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 3, 2023 · pp. 10–18 Read article
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Impact of Spinal Cord Injury on Body Composition and Weight
Abstract: Weight gain is a common consequence of spinal cord injury (SCI), often resulting from decreased physical activity, metabolic alterations, and changes in body composition. This study aimed to assess post-injury weight changes among individuals with SCI. Data was obtained using a multistage random sampling method, utilizing a patient questionnaire administered to 28 individuals diagnosed with SCI. Participants’ baseline weights were compared with their recorded weights at follow-up. The mean initial …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 19–34 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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GLP-1 Receptor Agonists: A Dual Therapeutic Strategy for the Management of Type 2 Diabetes Mellitus and Obesity
Abstract: For the treatment of obesity and type 2 diabetes mellitus (T2DM), glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become a revolutionary class of pharmaceutical drugs. These drugs were first created as glucose-lowering treatments, but they have now shown other advantages, such as notable weight loss, better cardiovascular results, and general metabolic control. The objective of this narrative review is to assess the pharmacological mechanisms, clinical efficacy, safety profile, and therapeutic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 69–75 Read article
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Intelligent IoT Enabled Waste Segregation and Monitoring System
Abstract: One of the significant issues contributing to environmental hazards is the ongoing accumulation of waste. As the global population continues to grow, waste is being discarded in single locations, mixing different types of refuse. In India, the total generated waste is projected to exceed 150,000 Mt/day. Waste is often scattered along roadsides, and the personnel responsible for management do not collect it regularly. This automated waste segregation bin project aims …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 33–39 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Advancements in Privacy-Preserving Techniques for Cloud Database Management Systems: A Review Analysis
Abstract: Cloud computing is a technology that provides a lot of configurable resources, enabling decentralized data execution and space. Cloud technologies have transformed the ideas of internal data storage and access to provide businesses with flexibility and efficiency. Thanks to cloud services like DBaaS, users may make use of advanced database features without having to worry about the burden of traditional databases. With more organizations moving to the usage of Cloud …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 11–22 Read article
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Groundwater Contamination in Punjab due to Arsenic, Selenium and Uranium Heavy Metals
Abstract: Punjab is facing a crisis situation due to high levels of heavy metals in underground water table of Punjab. ICAR has reported arsenic beyond safe limit in 13 districts of Punjab. According to PWSSD report, out of all arsenic contaminated habitations in Punjab, 60% fall in Majha belt of Punjab, namely, Amritsar, Gurdaspur and Tarn Taran districts. Arsenic contamination can be get rid of by using a nanotechnology based technique …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article