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367 articles for “meta-data”
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Finite Element Simulation of the Cold Open-Die Forging of Sintered Aluminum Metal Powder Trapezoidal Preforms
Abstract: This paper presents finite element simulation of the forging of sintered aluminium metal powder trapezoidal preforms at cold conditions. It involves basic experimental investigations followed by the finite element simulation of the forging process under consideration by the use of DEFORM. The basic experimental work includes the fabrication of compaction die-sets, production of aluminum metal powder trapezoidal preforms and simple compression test to obtain load-deformation data. The stress-strain data was …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 18–28 Read article
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Knowledge, Attitude and Practices Regarding E-Waste in Resettlement Areas of East Delhi
Abstract: E-waste is collected and processed for disposal in urban slums of the metropolis of India by untrained workers without using personal protective equipment, which are detrimental not only to their health but also to the environment. This study was designed to find the knowledge, attitude, and practices of e-waste handling and management among the workers involved in e-waste handling and management in East district of Delhi. (Seelampur and Shastripark). A …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 23–28 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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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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Using the TCGA Database, Establishing and Validating an RNA-binding Protein-based on Prognostic Model for Liver Cancer
Abstract: Background: The third most common cause of cancer-related death is liver cancer, one of the most prevalent hematological malignancies in the world. The term RNA-binding protein (RBP) refers to a group of proteins that bind to RNA to control metabolic processes. The development of RNA-binding proteins is related to the mortality of liver cancer victims. Methods: RBP gene expression data from liver cancer were extracted using the TCGA database. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 2, 2022 · pp. 7–22 Read article
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Pharmacokinetics of Levothyroxine and Factors Influencing Its Therapeutic Efficacy in Hypothyroidism: A Comprehensive Review
Abstract: Levothyroxine (LT4) remains the standard therapy for hypothyroidism due to its effectiveness in restoring normal thyroid hormone levels and improving physiological functions. However, its pharmacokinetic profile exhibits considerable variability, which may influence therapeutic outcomes in clinical practice. This review aims to comprehensively evaluate the pharmacokinetics of levothyroxine, including its absorption, distribution, metabolism, and elimination, along with factors affecting its therapeutic efficacy. A structured literature search was conducted using electronic databases, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 27–33 Read article
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Bioaccumulation, Phytoremediation and Kinetics of Uptake of Heavy Metals (Copper and Zinc) by Eichhornia crassipes
Abstract: AbstractPhytoremediation is cost effective and environmental friendly. This paper presents the importance of phytoremediation with particular emphasis on rhizofiltration, kinetics of bioaccumulation and uptake factor in Eichhornia crassipes. The present study tried to highlight the effectiveness of the aquatic plant, E. crassipes, in removing heavy metals (Cu and Zn) from aquatic solutions. The plant was exposed to 0.5 mg/L concentration of copper and zinc and their uptake was measured after …
Published in Research & Reviews : Journal of Ecology · Vol. 2, Issue 1, 2013 · pp. 1–9 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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An In-depth Understanding of What A Photoelectric Device Is
Abstract: Here we are going to talk about the details of photoelectric device. First of all, we will get information about what a photoelectric device is and also about it. Thus, we know that there are optical electrical structures that can be identified as photoelectric devices. Thus, the interaction of light with matter produces electricity, which is seen in the phenomenon of photoelectric effect. Here we see a device that gives …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 1, 2022 · pp. 1–6 Read article
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Fitness Fusion: Maximizing Health Through Exercise and Calorie Control
Abstract: The delicate balance between improving physical fitness and managing calorie intake has gained increasing significance as individuals aim to achieve their fitness goals while maintaining a healthy weight. This approach highlights the strategic integration of exercise, such as high-intensity interval training (HIIT), with controlled dietary practices to effectively manage weight, enhance physical performance, and support overall health. HIIT, known for its time-efficient ability to burn calories and improve cardiovascular fitness, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 113–118 Read article
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A Study to Assess the Epidemiological Pattern and Risk Profile of Endometrial Cancer in Women
Abstract: Endometrial cancer is one of the most common gynecological malignancies affecting women worldwide, with its incidence showing a rising trend due to lifestyle changes, increasing obesity rates, and longer life expectancy. Understanding its epidemiological pattern and associated risk factors is essential for early identification and prevention. The present study was conducted to assess the epidemiological distribution and risk profile of endometrial cancer among women. A descriptive research design was adopted …
Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 8–12 Read article
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Analysis of Heavy Metal in Industrial Soil Through Atomic Absorption Spectroscopy and its Relationship with Some Soil Properties
Abstract: The disease of soil is a premise of peril to the strength of individuals at diverse stages as well as towns and urban areas. Overwhelming metals unconstrained as poisonous effluents from smelters are dumped into close by biological system and are connected with wellbeing danger. Modern industrialization is main root to release different overwhelming metals which spreads to the dirt as aero soils, particulate issue, residue, effluents and strong waste. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 11, Issue 2, 2021 · pp. 29–37 Read article
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Groundwater Contamination due to Heavy Metals and other Pollutants in Amritsar District of Punjab
Abstract: Punjab is facing a crisis situation due to high levels of uranium (U) and heavy metals in the underground water table of Punjab. Department of Water Supply and Sanitation (DWSS), Punjab report on water quality monitoring and mitigation presents a deplorable situation about the current water quality scenario in Punjab. Out of a total of 874 habitations covered under this survey, 378 are found to be quality affected due to …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 3, 2019 · pp. 19–28 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Analysis of Transcription Factor Binding Sites of Co-expressed Genes in Colorectal Tumor by Microarray Data Analysis
Abstract: The utilization of global gene expression profiling to find genes with similar expression patterns is rapidly becoming an extensive approach for understanding the complex cellular processes and disease mechanism. The polygenic nature of colorectal tumor, one of the most deadly cancers worldwide is believed to be caused not only by defects in single gene, but rather by the variation in multiple genes and their complex interactions. However, the regulatory mechanisms …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 3, 2015 · pp. 8–14 Read article
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Forecasting Heavy Metal Level on the Basis of Acidification Trend in the Major Estuarine System of Indian Sundarbans
Abstract: The authors present here the temporal oscillations of aquatic pH, zinc (Zn), copper (Cu) and lead (Pb) in the ambient media of Hooghly estuary of Indian Sundarbans and forecast values of these variables in response to acidification phenomenon. The forecast has been done on the basis of 30 years of real-time data (1984–2013). The exponentialsmoothening-based forecast reflects the gradual lowering of pH in the estuarine water that has considerable impact …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 2, 2014 · pp. 1–9 Read article
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A Review of Recent Advancements in Machine Learning and Deep Learning Approaches for Pet Diseases Prediction
Abstract: This systematic study assesses recent developments in Machine Learning (ML) and Deep Learning (DL) approaches to predict pet diseases. With the increasing role of Artificial Intelligence (AI) in pet healthcare, this study identifies recent research trends, limitations, and future directions. A comprehensive search was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines in selecting 20 relevant studies from over 300 articles published between 2020 and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 1–6 Read article
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CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 Read article