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367 articles for “meta-data”
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Evaluation of Real Time Data Acquisition of Temperature for Resistance Spot Welding
Abstract: Resistance spot welding is a popular metal joining process which is widely used in automobile industry, household and domestic appliances manufacturing industry and fabrication industry like air craft manufacturing industries [1]. Experimental investigation has been carried out on inner and outer sleeve which is used in stove manufacturing industry. Material taken is stainless steel SS304 for experiment having thickness 0.5 mm. Experimental investigation of real time temperature measurement and thermal …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 6–10 Read article
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Prime Editing and Base Editing in Human Hematopoietic Stem Cells Toward Scarless Correction of Monogenic Blood Disorders
Abstract: Monogenic hematological disorders – such as sickle cell disease (SCD), β-thalassemia, and X-linked chronic granulomatous disease (X-CGD) – affect >400, 000 newborns worldwide each year, with a considerable burden in low-resource settings . Although donor-derived allogeneic hematopoietic stem-cell transplantation (HSCT) is widely regarded as curative, its application is limited due to issues of donor availability and graft-versus-host disease (GVHD) and conditioning-related toxicity. DSB-based conventional CRISPR-Cas9 strategies are limited by inefficient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 · pp. 15–22 Read article
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Border Security Robot Vehicle with YOLO V4
Abstract: The objective of this project is to design and manufacture a prototype of Bordersecurity surveillance UGV with YOLO V4 algorithm. This versatile robot vehicle use a remote camera method to track active persons, burning, hazardous chemicals, metals, and obstructions in remote regions and transmit data to a central location. To offer instant reaction from sensors, the suggested system employs YOLOV4 and machine intelligence. While the robot is functioning, thevehicle is …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 27–36 Read article
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Impact of Work Function Variations on Data Stability of FinFET based 6T SRAM Cell
Abstract: The performance of FinFET SRAM cell is severely affected due to metal gate work function variations (WFV) in FinFET device. In order to provide guidelines for SRAM cell optimization, it is essential to examine the data stability due to the contribution of each cell transistor from WFV point of view. In this work, we investigate the effect of VTH variations of each transistor of tri-gated FinFET 6T SRAM cell on …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 2, 2021 · pp. 1–13 Read article
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Influence of Rheological and Physical Properties of Particles and Liquid media to compute Terminal Fall Velocity: A Review
Abstract: The hydrodynamic demeanor of falling particles and the liquid media in which they fall, supported by data analytics, is indispensable in the computation of the terminal falling rate. which is a critical concept in many civil engineering disciplines. The application of terminal settling velocity becomes vital to prevent the settling of microplastic particles (< 5 mm in size), several metal particles, polymers, etc.; especially those of irregular shape. Past research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 28–40 Read article
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Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
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Groundwater Contamination of Amritsar District of Punjab due to Heavy Metals Iron and Arsenic and its Mitigation
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, the highest number of qualities affected (QA) habitations due to arsenic and iron fall under the geographical area of Amritsar district in Punjab. In this survey, groundwater quality data pertaining to arsenic and iron is …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 2, 2019 · pp. 18–27 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Synthesis, Structural Characterization and Biological Studies of Schiff Base Complexes Bearing Indole Moiety
Abstract: Schiff base complexes of N2O2 type derived from indole-3-carboxaldehyde(ind) and amino acids such as glycine(gly), L-valine(val), and L-tryptophan(try) with Cu(II), Ni(II), Zn(II), Co(II) and Mn(II) were synthesized and characterized by physical and analytical techniques. The complexes are of non-electrolytic nature having 1:2 (metal:ligand) ratio. The geometry of the complexes was predicted with the combined data obtained from electronic spectral and magnetic susceptibility measurements. The mode of coordination of the Schiff …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 4, Issue 1, 2013 · pp. 31–42 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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A Systematic Review of the Herbal Medicinal Plants With Anti-Obesity Potential
Abstract: Obesity is a chronic, multifactorial metabolic condition characterized by abnormal fat accumulation. It is mainly driven by the intricate influence of genetic, environmental, hormonal, metabolic and lifestyle determinants. The burden of obesity has risen considerably over the past few years, making it one of the major health concerns in both developed and developing countries alike. The rapid increase globally in obesity prevalence is linked with numerous health complications such as …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Exploring the Connection between Mindfulness and Alzheimer's Disease/Parkinson's Disease: A Systematic Review and Meta-Analysis.
Abstract: Alzheimer's disease and Parkinson's disease have serious effects on patients and their families, yet there are no known treatments to slow the progression of these diseases. Non-pharmacological treatments for these problems, like yoga and meditation, have begun to gain popularity. The purpose of this meta-analysis and systematic review was to examine the relationship between yoga and mindfulness meditation and Alzheimer's and Parkinson's disease, as well as their potential to help …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 2, 2023 · pp. 1–9 Read article
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SmartTrack : Advanced Attendence System using LR RFID
Abstract: This project presents the design and implementation of a long-range RFID attendance system aimed at transforming how educational institutions track attendance by making the process faster, more accurate, and completely contactless. Tradi- tional methods, whether manual roll calls or short-range RFID scanners, often interrupt class routines and leave room for errors or proxy attendance. To address these issues, the proposed system integrates long-range RFID readers, beam sensors, and ESP32 microcontrollers …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 · pp. 41–49 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Clinical study on dual plating for delayed unions and nonunions of distal 1/3 and diaphyseal-metaphyseal transition of humerus
Abstract: Background: The best treatment for delayed union and non-union at distal 1/3 and metaphyseal-diaphyseal transition of humerus is not well established. We collected retrospective and prospective outcomes data for patients undergoing open reduction and internal fixation for delayed union and non-union of distal 1/3 and metaphyseal-diaphyseal transition of humerus with use of conventional mono-lateral or dual plating. Methods and Material: Over a 2-year period, 35 patients underwent open reduction and …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 10–15 Read article
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Feature Selection Using Nature-Inspired Metaheuristics: A Brief Study
Abstract: In recent decades, feature selection (FS) has attracted a lot of attention. The rapid advancement of data and computer science has led to an increase in the number of studies being conducted. The preprocessing method of feature selection plays a significant role in increasing the effectiveness of data mining and analysis across significant real-world applications. To summarize the most recent studies, this research work offers a quick assessment on feature …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 12–21 Read article
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Analyzing the Sheet Metal Extrusion Process Using Finite Element Analysis
Abstract: A wide range of sheet metal forming techniques has been developed to make it easier to produce intricate 3D objects. However, the knowledge still isn't sufficient. The sheet metal extrusion method was examined in this research as one of the common sheet-bulk metal manufacturing technologies. Consideration of the flow-stress curve's impact across a broad range of plastic strain and ductile damage played a pivotal role in constructing a realistic finite …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 13–25 Read article