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515 articles for “Current advancements”
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A Review of Glass Fiber Reinforced Composite Materials - Advancements and Challenges
Abstract: The use of glass fiber reinforcement has transformed modern engineering by providing an exceptional balance of strength, lightweight characteristics, and adaptability. This comprehensive review synthesizes findings from over 150 scholarly articles to provide an in-depth analysis of glass fiber reinforcement across multiple sectors. The exploration covers its historical development, manufacturing processes, and diverse applications in aerospace, automotive, construction, marine, and renewable energy industries. Glass fiber’s exceptional strength-to-weight ratio, corrosion resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 635–656 Read article
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Metals and Minerals in Pharmacy: Current Trends, Biomedical Applications, and Future Innovations
Abstract: Metals and minerals have played important roles in medicine for centuries, ranging from the use of simple mineral powders in traditional therapies to the development of modern metal-based drugs and nanomaterials. In recent years, advancements in material science, nanotechnology and pharmaceutical engineering have expanded the biomedical relevance of inorganic materials far beyond their conventional use as excipients. This review highlights the growing integration of metallic and mineral systems into pharmaceutical …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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Nutrient Sensing and Microbiota Crosstalk: Driving Determinants Shaping Metabolic Stability and Adaptive Physiology for Animal Health
Abstract: Nutrient sensing is a fundamental cellular process that enables animals to adapt to fluctuating dietary inputs while maintaining metabolic homeostasis and health. Recent advances reveal that the gut microbiota functions as an active metabolic partner, producing bioactive metabolites that directly influence host nutrient-sensing pathways and downstream cellular responses. This review synthesizes current knowledge on the integration of key signalling networks, including adenosine monophosphate activated protein kinase (AMPK), mechanistic target of …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Deploying an IoT-Enabled Smart Grid Automation System for Continuous Optimization and Fault Identification
Abstract: The proposed paper discusses the “integration of IoT in smart grid” which has been elevated facilitating new ideas to facilitate developments of infrastructure for electric power. IoT has been a very important tool for power grids which makes them smarter and more advanced as compared to traditional power grids. This paper focuses on to the prototype designing which will help in finding and monitoring the power, current, voltage, energy consumption, …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 01–8 Read article
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Dynamic Simulation of Load-Responsive Vapor Compression Refrigeration Systems
Abstract: Because of their dependable operation and effectiveness, vapor compression refrigeration systems, or vapor compression refrigeration (VCRS), have become popular in commercial, industrial, and residential settings. However, under different thermal loads, classic vapor compression refrigeration (VCR) systems may perform less well in that they are usually built for steady-state conditions and run at consistent speeds. In order to improve a load-responsive VCR system’s flexibility, energy efficiency, and response to changing cooling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 32–37 Read article
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A Comprehensive Review of FinFet Technology: Advantages, Challenges and Applications
Abstract: This has been complemented by improvements on the new layers that have surpassed the manufactures planar transistor by the new FinFET (Fin Field-Effect Transistor), which enhance modern demands on high performance, small size and low power consumption. This review is for a timely information on the latest development on FinFET technology, such as by curbing leakage currents by 50 percent and enhancing its speed by 30 percent proving that FinFETs …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications
Abstract: This is a review which provides specific and detailed information regarding the fiber-reinforced polymer (FRP) composite to replace traditional steel in high-performance spur gears with emphasis on mechanical performance, computational modeling, and experimental validation. Methods: The current literature was thoroughly investigated that includes material properties, material simulation (e.g., finite element analysis, FEA), and experimental gear testing procedures (e.g., DIN 51354, ASTM G99). Certain case studies in the aerospace and automotive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 209–220 Read article
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The Role of Food Security in Ensuring a Sustainable Future for India
Abstract: Food security is pivotal in shaping a sustainable future for India, a nation grappling with rapid population growth, environmental challenges, and resource constraints. This paper investigates the integral role of food security in promoting sustainable development across the Indian subcontinent. The study delves into the interplay between food security and various sustainability dimensions, including agricultural practices, climate resilience, and equitable distribution of resources. It evaluates current policies and programs aimed …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 28–32 Read article
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Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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Collaborative Code Editors: Advancements, Challenges, and Future Directions
Abstract: In recent years, collaborative code editors have become essential tools in software development, particularly for globally distributed teams. These platforms enable multiple developers to work together in real time, boosting productivity and facilitating seamless knowledge sharing. This survey investigates core technologies that drive collaborative code editors, including WebSocket communication and operational transformation, while highlighting significant challenges such as latency, conflict resolution, and scalability. By examining existing solutions and evaluating various …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 07–11 Read article
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Embarking on the Frontier: A Comprehensive Study of various traditional Technologies and creating awareness about latest technologies for Breast Cancer Screening amongst various Hospitals in India
Abstract: This extensive study explores the landscape of conventional technologies used in Indian hospitals for Breast Cancer Screening. The study comprehensively examines commonly used techniques, including Mammography, Ultrasound and Clinical Breast Examination in order to provide a holistic understanding of existing screening methods. The study also investigates how well-informed medical facilities are on the newest technology in breast cancer screening, including AI based methods.The acceptance rates and challenges involved with introducing …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 80–86 Read article
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Smart Door Lock System Using IOT
Abstract: The Internet of Things (IoT) represents a revolution in the way we interact with technology and the world around us. It incorporates a network of interconnected devices, sensors, and systems that collect, share, and analyze information to be effective, enhance decision-making, and improve every aspect of our lives. This content aims to provide an indepth look at the evolution, current state and future potential of the Internet of Things. The …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 10–13 Read article
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Carbon based Supercapacitor for Electric Vehicles
Abstract: Carbon materials, like activated carbon, and graphene, are abundant and can be produced sustainably. This eco-friendliness aligns well with the overarching goals of electric vehicle manufacturers who are keen to diminish their carbon footprint. Their compatibility with renewable energy systems also opens avenues for integrated energy solutions, enhancing overall system efficiency. Carbon-based supercapacitors hold significant promises as complementary energy storage devices in the electric vehicle landscape. While challenges related to …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 01–11 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Catalytic Performance Improvement in Polymer Derived Nanostructures for Fuel Cell Applications
Abstract: The performance and operational lifetime of PEMFCs are closely linked to the catalytic activity and durability of cathode electrocatalysts. In this research, a polymer-derived cobalt–iron nitrogen-doped carbon (CoFe–N/C) nanostructured catalyst is developed to enhance the ORR performance for PEMFC applications. PAN and melamine serve as nitrogen-rich polymer precursors, while cobalt and iron salts generate highly dispersed metal–nitrogen active sites within a porous carbon matrix through thermal treatment at 900 °C. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 968–979 Read article
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Role of Generative AI for Advanced Shell Language Design
Abstract: This study explores the emerging field of applying Artificial Intelligence (AI), specifically generative AI, to enhance shell scripting, a crucial skill for system administration and automation. While the formal design of entirely new shell languages using AI remains a long-term prospect, the current focus is on augmenting how existing shell languages are used for improving the scripting experience. This involves leveraging AI for tasks like automated script generation, intelligent code …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 22–27 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article