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897 articles for “identification system”
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Current Drugs Target the EGFR
Abstract: Cancer is a devastating disease, but there have recently been significant advancements in therapy that have identified EGFR and its related proteins as valuable indicators and targets for treatment. The ERBB receptor tyrosine kinase superfamily includes EGFR, which is a transmembrane glycoprotein. When the EGFR receptor interacts to its particular ligand, EGF, it causes tyrosine residues to be phosphorylated and forms receptor dimers with other members of the receptor family. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–8 Read article
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Historical Antecedents of Boko Haram Insurgency and Its Implications on Educational Development in Northeast Nigeria
Abstract: The Boko Haram insurgency has greatly affected the socio-economic and educational systems of Northeast Nigeria. This paper examines the historical antecedents of the insurgency, analyzing how socio-political, economic, and ideological factors have contributed to its emergence and persistence. The study highlights the enduring impact of colonial legacies, socio-economic marginalization, and governance failures, which have collectively created fertile ground for the radicalization of disenfranchised populations. The insurgency’s deliberate targeting of educational …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 54–63 Read article
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Statistical Methods in Law: Analysing Trends and Patterns in Judicial Outcomes
Abstract: The research paper explores the integration of statistical techniques within the domain of legal science, emphasizing their role in assessing and interpreting ongoing trends. By employing methods such as descriptive statistics, inferential statistics, and multivariate analysis, the study highlights how empirical data can effectively uncover disparities in areas like sentencing practices, risk assessments, and the evaluation of policy outcomes. These statistical tools enable researchers and legal professionals to identify patterns, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 32–36 Read article
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Development and Characterization of Bottom Ash–Fly Ash–GGBS-Based Geopolymer Composites for Sustainable Applications
Abstract: The growing demand for sustainable construction materials has spotlighted geopolymer concrete (GPC) as an environmentally viable substitute for conventional cement-based systems. This study presents an innovative dual-waste valorization approach, integrating pulverized bottom ash (BA) and ground granulated blast furnace slag (GGBS) as binders while replacing sodium silicate (Na₂SiO₃) in the alkaline activator with treated textile effluent. Unlike prior works that focus solely on solid waste incorporation, this research pioneers the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 32–42 Read article
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Recent Trends in Heavy Metal Pollution of Groundwater: A Review
Abstract: Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation. Rapid industrialisation, urban expansion, intensive agriculture, mining activities, and improper waste disposal have significantly increased the release of heavy metals into subsurface environments. Groundwater, being a primary source of drinking water in many regions, is particularly vulnerable to contamination, posing serious risks to human health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 14–24 Read article
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Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article
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How do Polymer-derived Implants Influence Patient-Reported Outcomes (PRO) in Cardiovascular and Orthopaedic Procedures
Abstract: Implants derived from polymers have surfaced as adaptable substitutes for conventional metallic devices in cardiovascular and orthopedic treatments because of their adjustable mechanical characteristics, biocompatibility, radiolucency, and ability for surface alteration. This systematic review assesses the impact of polymer-based implants such as PEEK, UHMWPE, bioresorbable polymer scaffolds, and drug-eluting systems on outcomes reported by patients (PROs). Findings from 42 qualifying studies show overall positive impacts on pain alleviation, functional recovery, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1821–1834 Read article
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Modelling and Analysis of Morphing Wing Structure for Variable Camber
Abstract: This study explores the modelling and analysis of a morphing wing with variable camber configurations to observe its aerodynamic characteristics compared to conventional form. The morphing wing is the concept where the shape of the wing is altered mid-flight based on different phases of flight to improve its aerodynamic characteristics. Morphing wing structure designs such as the corrugated and FISHBAC designs were considered for this analysis. The NACA 2412 airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 209–224 Read article
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Fire Accidents and Mitigation Framework of Electric Vehicles in India
Abstract: Over the past decade, electric vehicles (EVs) have profoundly reshaped the global automotive industry, primarily due to significant advancements in lithium-ion (Li-ion) battery technology. However, the safety implications associated with high-energy Li-ion batteries, particularly the risk of fire, have emerged as a significant concern for EVs. This article focuses on recent developments in EV fire safety, particularly concerning thermal runaway and battery fires in Li-ion batteries. Instances of extreme misuse, …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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Conquering the IoT Frontier: Challenges Faced in India
Abstract: The internet of things (IoT) represents a transformative force reshaping the landscape of connectivity and communication, ushering in an era marked by seamless machine-to-machine interactions and the fluid exchange of data across diverse devices and systems. This paper undertakes an extensive exploration of the prevailing state of IoT advancement within India, with a particular emphasis on delving into the multifaceted realms of security concerns, inherent challenges, and burgeoning opportunities. By …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 16–21 Read article
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A Systematic Review on Coronary Heart Disease: A Transient Ischemic Stroke
Abstract: Coronary Heart Disease (CHD) and Transient Ischemic Attack (TIA) are significant cardiovascular and cerebrovascular disorders that often share similar risk factors and underlying pathophysiological processes. CHD involves the narrowing or obstruction of the coronary arteries due to atherosclerosis, resulting in diminished blood flow to the heart. A transient ischemic attack (TIA), often called a "mini stroke," occurs when blood flow to the brain is briefly disrupted, usually due to a …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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The Nursing Perspective: Emerging Competencies in Midwifery and Neonatal Care
Abstract: A skilled attendant is a qualified healthcare practitioner, such as a midwife, doctor, or nurse, who has received appropriate education and training to effectively handle uncomplicated pregnancies, childbirth, and the immediate postnatal period. They are equipped to identify, manage, and refer any complications that may arise in women and newborns. Skilled attendants have the necessary knowledge and skills to manage normal pregnancies and childbirth, and their presence during delivery is …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Air Pollution and Immune Disorders in Women from Urban Punjab: A Clinical and Epidemiological Study
Abstract: Background: Urban Punjab, particularly cities like Ludhiana, Amritsar, and Jalandhar, experiences some of the highest air pollution levels in India due to industrial activity, vehicular emissions, and agricultural practices. Despite this, gender-specific health impacts—especially related to immune function—remain inadequately studied. Objective of the study is to investigate the relationship between air pollution exposure and immune-related disorders in women residing in urban Punjab. A cross-sectional study was conducted from 2022 to …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 36–40 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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A Survey on Cognitive Radio Ad Hoc Network Architecture
Abstract: Cognitive radio ad hoc networks (CRAHNs) represent an innovative paradigm in wireless communication, leveraging the dynamic spectrum access capabilities of cognitive radios (CRs) to enhance network performance and spectrum efficiency. The architecture of CRAHNs integrates cognitive radio capabilities with ad hoc networking principles, enabling devices to manage spectrum resources autonomously and intelligently in a decentralized manner. This abstract outlines the key components and functionalities of CRAHN architecture, highlighting its potential …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article