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1261 articles for “Advanced applications”
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A Compressive Review of Traditional Medicine System of Naturopathy (Nature): Evaluation, Standardization of Alternative Medicine
Abstract: Naturopathy is a therapeutic approach that combines scientific principles with the natural laws of the body. It focuses on using natural methods to promote healing and overall well-being. This traditional practice combines various techniques, such as herbal medicine, nutritional guidance, hydrotherapy, and physical therapy, to treat the underlying causes of illnesses rather than just managing symptoms. The growing interest in alternative medicine necessitates a comprehensive evaluation and standardization of naturopathic …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 1, 2025 · pp. 22–29 Read article
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Sustainable Water Management in Engineering: Identifying Causes and Implementing Solutions
Abstract: Water is a vital resource in engineering applications, underpinning processes in manufacturing, construction, power generation, and environmental systems. Unsustainable water consumption and waste, however, present serious problems, such as resource depletion, environmental damage, and higher operating expenses. This paper explores the causes of water waste in the engineering sector, such as inefficient processes, aging infrastructure, and inadequate wastewater management, alongside the impacts on economic performance and ecological balance. To address …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 9–26 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Upgrading Nutritive Value of Rice Straw: Processing, Supplementation, and Agronomic Innovations for Improved Utilization
Abstract: Rice straw, a major byproduct of rice production, holds significant potential as a livestock feed but is constrained by its high lignocellulosic content, low crude protein, and poor digestibility. Enhancing its nutritive value is imperative for sustainable livestock production. This study explores a range of innovative strategies aimed at improving rice straw’s digestibility and overall nutritional quality. Physical processing techniques, including chopping, grinding, soaking, and steam treatment, enhance its surface …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 42–58 Read article
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Reevaluating Rice Straw for Livestock Feeding: Opportunities and Challenges in Advancing Sustainable Livestock Development
Abstract: Rice straw, the most prevalent by-product of rice cultivation in the tropics, presents both significant opportunities and challenges for sustainable livestock farming. This study aims to reevaluate the role of rice straw as a forage resource in livestock nutrition, emphasizing its potential to enhance feed security, reduce waste, and support environmentally sustainable agricultural practices. By examining the nutritional characteristics of rice straw, the impact on livestock health, and the role …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 25–34 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Single-Cell Genomics and its Impact on Understanding Cellular Heterogeneity
Abstract: Single-cell genomics has transformed how we study the differences between individual cells, helping scientists uncover the detailed variety within tissues that traditional methods could not reveal. Traditional methods, such as RNA sequencing, average gene expression across many cells, thereby missing subtle yet important cellular variations. Single-cell technologies, such as single-cell RNA sequencing (scRNA-seq), DNA sequencing, and epigenomics, allow researchers to study individual cells in extraordinary detail like never before. This …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 1–5 Read article
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Investigating the Dynamics of Quantum Plasmas: Current Advancements and Prospective Trajectories
Abstract: Plasma is regarded as quantum if its macroscopic properties are significantly affected by the quantum nature of its constituent particles. A proper description is necessary to comprehend the importance of collective quantum plasma effects. In this entry, the field of quantum plasmas, a generic exotic state of highly ionized matter where quantum effects are relevant, is discussed, for example, by dense plasmas arising from strong laser irradiation of solid targets …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 22–34 Read article
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Change Detection in Aerial Imagery
Abstract: The development of the Multi U-Net engineering marks an essential headway in geospatial question location inside ethereal symbolism investigation. The altered U-Net addresses the complexities of multi-class division in assorted geospatial settings. Leveraging the inalienable growing and contracting pathways inside U-Net plans, the Multi U-Net exceeds expectations in capturing complicated spatial data, in this manner setting up a vigorous establishment for exact division. The extend envelops an advanced picture handling …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 22–28 Read article
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Biquid Filter Based Equalization Through Plastic Optical Fiber
Abstract: Plastic Optical Fiber (POF) is increasingly recognized for its advantages in high-speed data transmission, particularly over short distances. Unlike traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. Recent advancements include the development of graded-index POF (GI-POF), where the core's refractive index gradually decreases from the center outward, minimizing modal dispersion and …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 Read article
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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 Read article
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Transportation Applications of Solar Energy: Innovations and Consequences
Abstract: The transportation industry is at the forefront of sustainability issues due to its substantial reliance on fossil fuels, which raises air pollution and greenhouse gas emissions. As a result, engineers and researchers have discovered that solar energy is a practical substitute for powering a variety of transportation vehicles. This study looks at the state of solar energy applications in the transportation industry today, exploring cutting-edge technologies, practical implementation issues, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Optimizing PLA Filament Production for Enhanced 3D Printing Performance
Abstract: This research explores the optimization of polylactic acid (PLA) filament production to improve its performance in 3D printing applications. PLA is a widely used biodegradable polymer known for its eco-friendliness and ease of processing in additive manufacturing. The study investigates various parameters affecting PLA filament production, including material purity, extrusion temperature, filament diameter consistency, and cooling methods. Furthermore, the research evaluates how these fabrication parameters influence the printability of PLA …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Internet of Robotic Things in Battlefield Applications: A Novel Study
Abstract: A new era in military operations is promised by the integration of the Internet of Robotic Things into combat applications, which will provide creative solutions that improve situational awareness, efficiency, and safety. To ensure that the use of these technologies is both responsible and efficient, the potential advantages must be weighed against technological difficulties and ethical issues. It will be crucial going forward for military organisations to continue being proactive …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Exploring the Role of Thin Film Coatings in Solar Energy Harvesting
Abstract: With notable gains in efficiency, longevity, and affordability, thin film coatings have become a key technology in the field of solar energy harvesting. These coatings, typically composed of materials like titanium dioxide (TiO₂), cadmium telluride (CdTe), and amorphous silicon (a-Si), are applied to photovoltaic (PV) cells to enhance their ability to absorb and convert sunlight into electricity. This review article delves into the various types of thin film coatings used …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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Exploring Type-II Diabetes Potential of Phyto-Derived Carbon Dots
Abstract: The integration of phytoconstituents with carbon dots (C-dots) presents a novel and sustainable approach to the development of nanotherapeutics for type 2 diabetes mellitus (T2DM). C-dots, zero-dimensional carbon-based nanomaterials, exhibit unique physicochemical properties including high fluorescence, tunable surface chemistry, biocompatibility, and low toxicity. Their ability to enhance the solubility, bioavailability, and targeted delivery of poorly soluble phytochemicals renders them highly suitable for biomedical applications. This study explores the synthesis of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 08–25 Read article
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Revolutionizing Financial Technology: AI and FinTech
Abstract: The ground-breaking notion of incorporating AI into financial technology by entering the market has been steadily advancing toward dominance. It has become a lever steering innovation, increasing the pace of productivity and minimizing the likelihood of risk. From digital banking to insurance and payments to compliance with regulations, AI is playing the role of a veteran guide to reinvent the old FinTech models and readdress them as a modernistic and …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 07–13 Read article