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1614 articles for “characterization”
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Role of Topical Onion Extract in Scar Management at Donor Site
Abstract: Scarring is commonly caused by an imbalance between collagen synthesis and degradation. One promising approach to mitigate scar formation involves the use of onion extract, known for its ability to inhibit fibroblast activity, which plays a key role in the development of scars. Despite the widespread use of onion extract in various commercial scar treatment products, the exact molecular mechanisms through which it exerts its scar-reducing effects remain unclear.This study …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 7–11 Read article
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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Recombinant Human EGF in Wound Healing: 3D Computational Insights
Abstract: A Growth Factor represents a naturally-occurring compound with the remarkable ability to incite cellular growth, proliferation, and differentiation. Typically manifesting as either a protein or a steroid hormone, these factors wield significant influence over an array of cellular activities. Their pivotal role lies in the regulation of diverse cellular processes, often serving as catalysts for cell specialization and maturation, a characteristic that distinguishes them from one another. For instance, bone …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 6–10 Read article
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Presence of a Bulk Viscous Universe within f(R, T) Gravity
Abstract: This paper offers a comprehensive analysis of a bulk viscous universe in the context of f(R, T) gravity, where (R) signifies the Ricci scalar and (T) represents the trace of the energy-momentum tensor. The primary objective of our work is to get explicit solutions to the modified field equations by using a power-law scale factor representation. With this method, we have obtained functions of cosmic time and redshift for the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Toxicological Optimization and Assessment of Buccal Films Containing Felodipine Co-crystals to Enhance Bioavailability
Abstract: The preformulation study of felodipine was carried out and it was found that the drug is poorly water soluble. The co-crystals were prepared using three different co-formers sorbitol, ascorbic acid and oxalic acid. The solublity enhancement was observed in combination with sorbitol compared to other co-formers used. The characterization of co crystals was performed like PXRD, FTIR, SEM Analysis. XRD results indicates the amorphous form of the drug. The co-crystals …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 2, 2024 · pp. 10–29 Read article
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Drone Swarms: An overview and working in network control systems
Abstract: The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 13–35 Read article
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Advancements and Challenges of Modern Breeding over Conventional Breeding
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Monitoring eddy current density fluctuation and power management in doped Al 2 O 3
Abstract: Al2O3 nanowire presents fascinating electrical properties which span from insulating (dielectric) to superconducting. A model is designed to describe the Phenomenon of eddy electric current and eddy current density fluctuation. Ohmic type theorem is developed using the modified Green – Kubo theorem. With little modification Green-Kubo theorem is incorporated to explain the relationship between eddy current density, electric field, and electric conductivity. Then factor contributing eddy current density fluctuations are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 35–45 Read article
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Effect of Functionalization on glass transition temperature of Carbon Fiber reinforced Epoxy Nanocomposites using MD Simulation
Abstract: As we all know that the mechanical characterization of any material plays a vital role in performance of the material throughout its life cycle. One of the major parameters in calculating the mechanical properties of carbon fiber reinforced nanocomposite is glass temperature. Understanding glass transition behaviour of polymer nanocomposites are crucial for optimizing their mechanical properties and performance. We used “Molecular dynamics simulations” to calculate sequel functionalization effect on glass …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–8 Read article
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Chemical and Electrocoagulation Methods for Polymer Synthesis and Composite Manufacturing: Recent Technological Advances and Extensive Application Analyses
Abstract: Recent years have seen big steps forward in the fields of polymer production and composite making, thanks to the development of new chemical and electrocoagulation techniques. This abstract gives a short summary of these new developments and goes into great detail about how they can be used. Chemical production of polymers has been an important part of materials science for a long time because it lets scientists precisely control the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 244–258 Read article
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AI Chatbot for Expressing Visual Content
Abstract: Recently, the artificial intelligence (AI) chatbot for expressing visual content has shown remarkable multi-modal capabilities. It can recognize funny features in photos and create webpages straight from handwritten text. These characteristics are uncommon in earlier vision language models. We think the use of a more sophisticated large language model (LLM) is the main factor behind vision verbalizer's superior multi-modal generating capabilities. We introduce vision verbalizer, which employs a single projection …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 11–19 Read article
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X-ray Telescopes: Technological Developments and Contributions to High-Energy Astrophysics
Abstract: X-ray telescopes have revolutionized our understanding of the high-energy universe, unveiling phenomena that are invisible to optical telescopes. This paper reviews the technological advancements in X-ray telescope design, instrumentation, and data analysis techniques, which have significantly enhanced their sensitivity and resolution. We trace the development from early X-ray detectors to modern space-based observatories like the Chandra X-ray Observatory and the XMM-Newton. These advancements have facilitated groundbreaking discoveries, such as the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Hybrid Battery Swapping Station for EV Using Robotic Arms
Abstract: The Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Study of Perovskite (CH3NH3PbI3) Solar Cell using CuI (Copper Iodide) as Hole Transport Layer (HTL) at different thickness of HTL layer
Abstract: While solar energy is a viable option, future clean energy solutions may require other energy sources. Renewable electricity sources are known for being affordable, easy to access, and not producing greenhouse gases. Photovoltaic cells, which turn sunlight into electrical power, are a good choice. Over the last twenty years, advancements in photovoltaic technology have lowered costs and improved the efficiency of solar cells. Perovskite materials, recognized for their unique crystal …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
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Vehicle Black Box Systems: Evolution, Implementation, and Impact on Road Safety
Abstract: The main goal is to create a Black Box System for Vehicle that can be used to enhance road safety. To record accident data, as well as the location of the accident, an SOS message, the temperature of the car, and an automatically administered breathalyzer test for the driver, we are developing a black box in this project. The Black Box for Vehicle can aid in making automobiles safer, gather …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 38–46 Read article
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From Carbon to Composites: Evolution and Trends in Supercapacitor Technology
Abstract: Supercapacitors, also referred to as ultracapacitors, have become a crucial component in the landscape of energy storage technologies. They effectively bridge the gap between conventional capacitors and batteries, offering unique advantages such as high power density, rapid charge/discharge rates, and exceptional cycle life. These characteristics make supercapacitors indispensable for a wide range of applications, including consumer electronics, automotive systems, and renewable energy systems. This comprehensive review explores the evolution of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 61–67 Read article