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1948 articles for “C-V” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Zn Doped CuO Nanoparticles for Increasing the Longevity of The Agricultural Products †
Abstract: Nanotechnology is an enabling technology at the service of mankind. Indeed, enhancing the long-term storage of agricultural products (post-harvest during transportation and storage) in general and apples and tomatoes, in particular, is a challenge. Zn-doped CuO is a proven nanomaterial with special ability to kill plant pathogens as well as a variety of microorganisms (bacteria, virus, and fungus). Much of the review is focused on the landmark papers published by …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 14–29 Read article
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Smart Drive Assist Systems for Modern Vehicles: A Review of Current Advances and Future Directions
Abstract: Smart drive assist systems serve as advanced automotive companions, boasting three pivotal capabilities: blind spot monitoring, collision prevention, and adaptive lighting. Blind spot monitoring acts as a vigilant sentinel, overseeing areas beyond the driver's direct view and issuing alerts for potential blind spot intrusions during lane changes. Collision prevention acts as a protective shield, scanning the road ahead to notify the driver of impending collisions, affording crucial reaction time to …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 19–27 Read article
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DVT in Athletes: A Physiotherapist’s Approach to Prevention, Early Detection, and Rehabilitation
Abstract: Deep vein thrombosis (DVT) is a serious medical condition where blood clots develop in the deep veins, most often in the lower limbs. While it is traditionally associated with immobility, athletes are also at risk due to factors like prolonged travel, injuries, dehydration, and genetic predispositions. This paper explores the role of physiotherapists in preventing, detecting, and rehabilitating DVT in athletes. Preventive strategies include promoting hydration, active recovery, circulatory exercises, …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 1, 2025 · pp. 11–16 Read article
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Autonomous Vehicle with Obstacle Evasion Capability
Abstract: This paper involves the design and implementation of an obstacle-avoidance vehicle. The goal of this project is to build a vehicle that, when in motion, can recognize obstructions in its route and, in the absence of outside interference, alter course as essential. Based on sensor inputs, the robot determines the new direction to prevent a collision as the direction with the largest distance between the obstacle and the sensor. An …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 6–13 Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Programme on Knowledge Regarding Prevention and First Aid Management of Snakebite Among Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) Workers in Selected Areas at Wayanad
Abstract: This study aimed to assess the impact of a video-assisted instructional program on the awareness of snake bite prevention and first aid practices among MGNREGS workers in Meppadi Panchayath, Wayanad. Using a quasi-experimental one-group pre-test post-test research approach, the study included 60 participants selected through convenient sampling. The participants' demographics revealed a varied distribution, with the majority falling within the 36–45 year age bracket (35%) and having an educational background …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 9–13 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Low Emissions Zone: An Approach to Reduce Carbon Emissions in Sensitive and Congested Urban Areas
Abstract: The paper develops a detail study on how to reduce carbon emissions in sensitive and congested urban areas where people are especially affected by GHG pollution. The study focuses on the analysis of traffic restrictions to private and public vehicles which does not fulfil specific conditions for entering the so called “Low Emissions Zone” (LEZ). The article uses a simulation to reproduce current driving in modern cities and how the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 8–24 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Photochemically Assisted LC–MS Method Development and Validation for Stability-Indicating Determination of Glasdegib in Rat Plasma
Abstract: A simple, precise, and cost-effective LC–MS method was successfully developed for the determination of Glasdegib in rat plasma. The method optimization was carried out by systematically varying key chromatographic parameters, including flow rate, injection volume, analyte concentration, and mobile phase composition, to achieve optimal sensitivity and resolution. A C18 Hypersil BDS column (150 mm × 4.6 mm, 3.5 µm particle size) was used for chromatographic separation, offering effective peak shape …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Integration of EV charging with Renewable Energy
Abstract: The integration of electric vehicle (EV) charging with renewable energy (RE) sources presents a promising path toward sustainable transportation and energy use. As the global adoption of EVs accelerates, traditional charging methods relying on fossil fuels pose challenges to achieving environmental goals. This paper explores the potential of integrating RE sources, such as solar, wind, and hydroelectric power, with EV charging infrastructure to reduce greenhouse gas emissions and optimize energy …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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A Study to Assess the Risk Factors and Symptoms of Dialysis Disequilibrium Syndrome among Patients Undergoing Hemodialysis
Abstract: Dialysis Disequilibrium Syndrome (DDS) is a rare but potentially life-threatening neurological complication associated with hemodialysis, particularly during initiation or in high-risk patients. It is characterized by a spectrum of neurological manifestations ranging from mild symptoms such as headache and nausea to severe outcomes including seizures, coma, and death. Early identification of risk factors and prompt recognition of symptoms are crucial to prevent morbidity and mortality. The present study aimed to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Intelligent Transportation System Avoids Collision by Disseminate the Warning Messages in Vehicular Ad Hoc Network
Abstract: Roads overload leftovers a critical issue while they are invariably increased so as to increase their capacity and enhance their effectiveness. This can be likely to cause many troubles specified ecologically, financially, and socially. The progress of urban traffic management systems, structure and development of roads are solutions to handle this problem and acquire better the performance of the road transmission, but these solutions are high-priced and need extra space …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Noise and Vibration Reduction Using Sustainable Polymer Nanocomposite Materials: A Review
Abstract: Noise pollution and structural vibration represent critical challenges in modern engineering systems, affecting human health, operational efficiency, and equipment durability. This review examines the application of sustainable polymer nanocomposite materials for simultaneous noise and vibration reduction across diverse engineering domains. The fundamental relationship between structural vibration and noise generation is established, followed by a comprehensive analysis of sound absorption and damping mechanisms in nanoparticle-reinforced polymer systems. Multi-walled carbon nanotubes (MWCNTs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 785–798 Read article
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Effectiveness of Structured Teaching on Immunization Knowledge and Attitude Among Mothers of Children Under-5 years of Age at Bal Mahila Chikitsalaya, Lucknow
Abstract: This section offers a thorough overview of the study's background, explaining the significance of vaccination, the variables affecting vaccination coverage, the role mothers play in the decision-making process regarding vaccinations, and the necessity of focused interventions to improve immunization uptake among children under five. As a fundamental component of preventive healthcare, immunization shields both individuals and communities from a variety of infectious diseases. In order to comprehensively assess changes in …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 5–22 Read article
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Vitamin D Mitigates Inflammation and Downregulates Importin α3 in Non-Alcoholic Fatty Liver Disease (NAFLD)
Abstract: Non-alcoholic fatty liver disease (NAFLD) affects about one-third of the population in the United States and Western countries, reaching up to 90% among obese individuals and those undergoing bariatric surgery. Characterized by hepatic fat accumulation, NAFLD progresses from simple steatosis to non-alcoholic steatohepatitis (NASH), fibrosis, and, in rare cases, hepatocellular carcinoma. Linked intricately with metabolic syndrome, including diabetes and obesity, NAFLD development involves insulin resistance and hyperinsulinemia. Experimental evidence consistently …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 Read article
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Reduce Traffic Congestion Using Automated Traffic Navigation System
Abstract: The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 34–40 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article