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1192 articles for “MnCl2.4H2O salt reinforcement”
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Post Halela Zard (Terminalia chebula Retz.): A Review on Medicinal Utility from the Perspective of Unani Medicine
Abstract: Halela Zard (Terminalia chebula Retz.), commonly known as Haritaki in Sanskrit and Chebulic Myrobalan in English, is a cornerstone of Unani pharmacotherapy due to its remarkable therapeutic versatility. The dried pericarp of its fruit has been extensively employed in traditional medicine for the treatment of a wide spectrum of ailments, ranging from digestive disturbances to chronic systemic disorders. This review aims to present a comprehensive overview of Halela Zard by …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 19–26 Read article
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Pharmacovigilance: The Silent Guardian of Patient Safety
Abstract: Pharmacovigilance is critical in protecting the populace health by monitoring, detecting and preventing adverse drug reaction (ADR) post drug approval. Although there is technological advancement and national initiatives such as the Pharmacovigilance Programme of India (PvPI), there is still a great problem of underreporting. Many benefits of effective pharmacovigilance include identification of risks early, better prescriptions and patient confidence. There are historical examples of drugs being withdrawn due to thalidomide, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 01–05 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Study of Evaluating the Feasibility of Banana Stem Fibers and Sugarcane Husk as a Sustainable Additive in Pervious Concrete for Urban Pavements
Abstract: This study explores the integration of eco-friendly materials: banana stem fibers and sugarcane husk, into pervious concrete to enhance its mechanical properties while maintaining high permeability. The research addresses environmental concerns related to agricultural waste disposal and the resource-intensive nature of traditional construction materials. Banana stem fibers, known for their tensile strength and durability, and sugarcane husk, rich in lignin and cellulose, were selected as reinforcements. The fibers were extracted, …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 33–39 Read article
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Optimization of Direct Ink Writing Process Parameters for Liquid Silicone Rubber/TiO2 Composite Ink
Abstract: The purpose of this research is to develop and optimize the Liquid Silicone Rubber (LSR)/Titanium Dioxide (TiO₂) composite inks in Direct Ink Writing (DIW)-based 3D printing systems. The primary research objective was to use enhancement of mechanical, rheological, and dielectric characteristics of LSR using TiO₂ reinforcement but still retain extrusion stability and dimensional consistency. TiO₂ content (0, 5, 10, and 15 wt%) and catalyst and glycerol ratios were regulated and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 240–259 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
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Recent Developments in Hybrid and Nanostructured Basalt Fiber Composites: A Review of Mechanical and Processing Innovations
Abstract: This review delivers a critical analysis of recent advancements in basalt fiber-reinforced hybrid composites (BFRHCs), emphasizing their transformative potential for advanced structural and high-performance applications. Basalt fibers, derived from volcanic rock, exhibit superior tensile strength, excellent thermal stability, and chemical resistance, offering a sustainable and cost-effective alternative to conventional glass and carbon fibers. Hybridization of basalt fibers with synthetic (e.g., carbon, glass) and natural fibers (e.g., flax, hemp) results in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 885–894 Read article
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Self Healing Material: An Introduction
Abstract: Self-healing materials have emerged as a transformative innovation for sustainable infrastructure and advanced applications such as wearable electronics and smart transportation systems. These materials possess the intrinsic ability to repair damage autonomously or with minimal external intervention, thereby extending service life and reducing maintenance costs. Inspired by biological systems, self-healing mechanisms are broadly classified into extrinsic approaches, such as microcapsule and vascular networks based healing, and intrinsic mechanisms involving reversible …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 604–611 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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Quantitative Mass Balance Modelling for the Synthesis and Production of Ten High-Volume Insecticides
Abstract: This study presents a detailed quantitative mass balance analysis for the industrial synthesis and production of ten high-volume insecticides: acequinocyl, acetamiprid, acynonapyr, alpha-cypermethrin, benzpyrimoxan, bifenazate, bifenthrin, bistrifluron, broflanilide, and bromofos, focusing on material flows, process efficiencies, and environmental implications. These compounds, spanning diverse chemical classes like neonicotinoids, pyrethroids, and meta-diamides, are essential for crop protection but pose challenges due to resource-intensive syntheses and waste generation. For each insecticide, standardized manufacturing …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 36–55 Read article
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A Study on Science Teachers’ Perception of Newly Developed Science Workbooks and Their Effectiveness in Fostering Scientific Attitude in Learners
Abstract: This study examines science teachers’ perceptions of newly developed science workbooks and evaluates their effectiveness in fostering scientific attitude among learners. Using a structured opinionnaire, the research gathered comprehensive feedback from teachers across multiple grade levels regarding the clarity, relevance, and pedagogical value of the workbooks. Analysis of opinionnaire responses revealed strong teacher agreement regarding the workbook’s clarity, activity-based structure, and alignment with curriculum goals. Teachers reported noticeable improvements in …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 82–90 Read article
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Synthesis and Characterization of Graphene-Based Hydroxyapatite Using Hydrothermal Method for Its Biomedical Application
Abstract: Developing bone implant materials that combine biological compatibility with mechanical strength remains a major challenge in orthopedic research. Hydroxyapatite (HAp) closely mimics bone mineral and supports cell growth, but its brittleness limits load-bearing applications. To address this, a quaternary nanocomposite of hydroxyapatite (HAp), graphene (Gr), zirconia (ZrO2), and ferrocene (Fc) (Hap-Gr-ZrO₂-Fc) was synthesized through a one-step hydrothermal process. Graphene and zirconia provided reinforcement, while ferrocene contributed structural stability and carbon …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 120–135 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Analysis of the Impact of Seabed Earthquakes on Coastal Structures and Foundation Design
Abstract: Earthquakes in the seabed occur with varying magnitudes. Seabed earthquakes cause a rapid rise in water levels, which can lead to flooding and structural damage. Therefore, when designing buildings near the seashore, it is essential to account for the additional load on columns due to water thrust. Earthquakes occurring at the seabed generate intense ground acceleration of varying magnitudes, significantly affecting water levels and inducing destructive flooding along coastal regions. …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 42–49 Read article
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Aerodynamic Effects of Wind on Multi-Story Structures: A Height- and Terrain-Based Analysis
Abstract: Wind loads are a critical consideration in the structural design of buildings, with direct implications for safety and serviceability. This study investigates the aerodynamic behavior of reinforced cement concrete (RCC) buildings under varying heights and terrain conditions, in accordance with IS: 875 (Part 3): 2015. 12 structural models representing 20 m, 35 m, and 50 m tall buildings were analyzed using extended three-dimensional analysis of building system (ETABS) across four …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 1–14 Read article
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Embracing Health, Safety, and a Greener Environment in the Construction of Offshore Structures
Abstract: Offshore infrastructure (oil and gas platforms, offshore wind farms, subsea cables, ports, and associated works) plays a vital role in energy, communications, and trade. However, construction activities offshore create complex safety, public health and environmental risks from worker injuries and exposure to hazardous substances, to marine pollution and ecosystem damage with downstream human health effects. This paper reviews the hazards, regulatory and management frameworks, lessons from major incidents, and practical …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 30–41 Read article
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Land Tenure, Farming Constraints, and Rural Livelihoods in India: An Integrated Assessment
Abstract: Land remains the central asset shaping agricultural productivity, socio-economic security, and rural development in India. However, the complex interaction between land tenure systems, farming challenges, and livelihood patterns continues to hinder sustainable agricultural growth. This review provides an integrated assessment of the key issues influencing land use dynamics, including ownership inequalities, insecure tenancy arrangements, land fragmentation, and the slow implementation of land reforms. These structural limitations restrict farmers’ access to …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 11–16 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article