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1963 articles for “EVA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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A Study to Assess the Effectiveness of a Planned Teaching Programme on Knowledge Regarding Current Trends and Issue in Obstetrical and Gynaecological Nursing Among Students of 3rd Year GNM of M.M. Singhi Institute of Nursing, Ahmedabad
Abstract: Nursing is regarded one of the oldest arts, despite being one of the youngest professions. Nursing techniques for newer and newest therapies, such as an infant care, pain management, client education and other interventions cannot be possible without fresh understanding. Research studies on current trends and issues in obstetrics and gynaecological nursing improve maternal and foetal health outcome. The study objectives were to assess the knowledge regarding current trends and …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 29–34 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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In Silico Screening of Terminalia chebula Phytocompounds as Potential Inhibitors of NTCP and DDB1 in Hepatitis B Virus Infection
Abstract: Hepatitis B virus (HBV) infection is a major global health concern, and chronic carriers are at risk of developing cirrhosis, hepatocellular carcinoma (HCC), and even death. Existing treatments can effectively inhibit viral replication, but they achieve little eradication of the virus because of covalently closed circular DNA (cccDNA) retention. In this investigation, bioactive compounds of Terminalia chebula, a plant known for its hepatoprotective and antiviral properties in traditional medicine, were …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 33–44 Read article
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Nanomedicine in the Tumor Microenvironment: Physiological Modulation Through Tissue Engineering Approaches
Abstract: The integration of nanomedicine and tissue engineering offers transformative strategies for cancer therapy by directly modulating the physiological processes within the tumor microenvironment (TME). This review emphasizes recent advances in nanomedicine that enable precise drug delivery, controlled release, and real-time monitoring of key physiological parameters influencing tumor progression, angiogenesis, and immune evasion. Tissue-engineered 3D tumor models provide physiologically relevant platforms that better mimic in vivo conditions than traditional 2D cultures, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 19–31 Read article
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NOVA: The Virtual Desktop Assistant
Abstract: This research work details the design, development, and implementation of a voice-controlled desktop assistant aimed at streamlining everyday tasks and boosting user productivity. The assistant seamlessly integrates with various desktop applications and core operating system functions to automate routine operations, deliver relevant contextual information, and provide personalized suggestions based on observed user behavior and preferences. A standout feature of the system is its ability to monitor user activity levels and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 19–25 Read article
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Comparative Analysis of Tensile Properties of Virgin and Rice Husk-Reinforced PLA and ABS Filaments
Abstract: This study focuses on evaluating the tensile behavior of polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) filaments reinforced with rice husk ash (RHA) particles, in comparison with their respective virgin counterparts. The incorporation of RHA, an abundant agricultural waste by-product, was considered with the objective of developing eco-friendly composites suitable for additive manufacturing applications. Tensile testing was carried out to assess the influence of the reinforcement on the mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 224–229 Read article
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Solar-Responsive Photo-Thermal Polymer Composites with Carbon Nanostructures for On-Demand Water Purification
Abstract: The development of solar-responsive polymer nanocomposites offers a sustainable pathway for water purification. In this work, polyvinyl alcohol (PVA) films reinforced with graphene nanoplatelets (GNPs) and multi-walled carbon nanotubes (MWCNTs) were fabricated and systematically investigated for their mechanical, thermal, viscoelastic, and thermal transport properties. Neat PVA displayed moderate tensile strength (~38 MPa) and high elongation (~165%), whereas 1.0 wt% nanofiller loading enhanced tensile strength to ~52 MPa and modulus to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 199–209 Read article
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Design and Analysis of G+4 Building with Ductile Detailing
Abstract: This study presents the structural design and analysis of a G+4 residential building, with a specific focus on ductile detailing to enhance seismic performance. Ductility plays a crucial role in enabling structures to absorb and dissipate energy during seismic events, thereby minimizing structural damage and improving safety. The project emphasizes key reinforcement strategies such as beam-column junction detailing and confining reinforcement, which are critical to preventing brittle failures and improving …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Safety of Structure
Abstract: The thickness of structural components is a vital factor in ensuring their durability and stability under various load conditions. In this study, the material thickness is first determined through the application of bending equations, which are used to analyze regions where bending forces are most significant. The bending stress generated by external loads is considered to calculate the required thickness to prevent failure under such stresses. Additionally, the effect of …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Lung Function Decline Among Brick Kiln Workers in Haryana Due to Chronic Particulate Matter Exposure
Abstract: In Haryana, India, brick kiln workers are subjected to high levels of Particulate Matter (PM) which has been shown to deteriorate respiratory health. This study looks into the effect sustained exposure to particulate pollution has on lung function among workers in the brick kilns. The objective of the study was to assess the impact of chronic exposure to particulate matter on lung function among brick kiln workers in Haryana. A …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 11–16 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
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Exploring the Genetic and Environmental Factors Contributing to Ovarian Cancer in Women in Mumbai, India
Abstract: Background: Ovarian cancer incidence in Mumbai has risen by 30% over the past decade, with an age-standardized rate of 9.1 per 100,000 women, contrasting stable trends in Western nations. This study investigates the interplay of genetic and environmental factors driving this disparity in Mumbai’s diverse population. Methods: A hospital-based case-control study was conducted at a hospital, enrolling 200 epithelial ovarian cancer cases (aged 30–70 years) and 400 age-matched controls. Germline …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 12–17 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Immune Dysregulation and Cytokine Circuitry in Genital Endometriosis: Mechanistic Insights and Next-Generation Immunotherapeutic Strategies
Abstract: Genital endometriosis is increasingly recognized as an immune-mediated inflammatory disorder driven by complex interactions between dysregulated immune cells, cytokine hubs, and microbiome-derived modulators. This review introduces a novel “immune–cytokine circuitry” framework that unifies innate and adaptive immune abnormalities with key cytokine loops sustaining chronic inflammation, angiogenesis, neuroinflammation, and immune tolerance. Within this circuitry, macrophage polarization, dendritic cell immaturity, NK-cell anergy, Treg expansion, Th17 amplification, and B-cell–mediated autoimmunity converge to establish …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 06–16 Read article
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Experimental Study on the Impact of Polymer (PAM) in Enhancing Oil Recovery in Upper Assam Basin Oil fields
Abstract: The Upper Assam Basin, one of India’s most mature and extensively exploited hydrocarbon provinces, is experiencing declining oil production due to reservoir depletion and unfavorable crude oil–brine–rock (COBR) interactions. In this context, alkali–polymer (AP) flooding has emerged as a promising chemical enhanced oil recovery (EOR) strategy. AP flooding reduces interfacial tension (IFT) through in-situ surfactant generation by alkali and improves sweep efficiency via polymer-based mobility control, typically using polyacrylamide (PAM). …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 283–296 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article