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1178 articles for “range”
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Performance and Structural Analysis of Different Lithium-Ion Battery Chemistries for Electric Vehicle Applications
Abstract: Lithium-ion batteries (LIBs) stand at the forefront of electric vehicle (EV) technology and have become a driving force behind the development of advanced energy storage systems. In this study, performance and structural analysis of different lithium-ion battery (LIB) chemistries—namely Lithium Nickel Manganese Cobalt Oxide (NMC), Lithium Iron Phosphate (LFP), Lithium Cobalt Oxide (LCO) and Lithium Nickel Cobalt Aluminum Oxide (NCA)—is presented. The study explores important performance parameters like energy density, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 13–31 Read article
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Chewable Healthcare: The Rising Impact of Gummy Supplements in Modern Medicine
Abstract: Gummy supplements, a chewable dosage form historically associated with pediatric vitamin products, are increasingly recognized as a versatile platform for delivering a wide range of nutraceutical and pharmaceutical agents. Their consumer appeal lies in their palatability, convenience, and the ability to overcome swallowing difficulties—a significant barrier to adherence in multiple patient populations. Recent advances in formulation science have expanded the potential of gummy supplements beyond basic vitamin delivery to include …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 52–68 Read article
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Microneedles: An Innovative Drug Delivery System
Abstract: Microneedles represent a groundbreaking innovation in drug delivery systems, offering a transformative alternative to conventional hypodermic needles and transdermal patches. This advanced technology combines the precision and efficacy of needle-based delivery with the convenience and pain-free nature of patches, creating a minimally invasive platform that addresses many limitations of traditional drug administration. Microneedles are designed to penetrate the stratum corneum – the skin’s outermost layer – without reaching pain-sensitive nerves …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 60–67 Read article
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Hydrothermal Carbonization (HTC) Technology for Tire Pyrolysis: A Comprehensive Review
Abstract: Hydrothermal Carbonization (HTC) is an innovative technology that is mimics of natural coal formation processes to convert wet biomass into valuable carbon-rich materials known as "biochar." This process involves subjecting organic matter, like agricultural waste, food residues, or sewage sludge, under high-pressure & moderate-temperature conditions (around 180-250°C & 2-4 MPa) in presence of water. HTC technology accelerates process of the dehydration & carbonization of biomass, thus producing a solid product …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 16–21 Read article
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Integrated Spatial and Statistical Assessment of Groundwater Quality in Rupbas Tehsil of Bharatpur, Rajasthan: A WQI-based Approach
Abstract: This study presents a comprehensive evaluation of groundwater quality in Rupbas Tehsil of Bharatpur District, Rajasthan, through the application of the Water Quality Index (WQI) and hydrogeochemical techniques. A total of 32 groundwater samples, 16 collected during the pre-monsoon and 16 during the post-monsoon seasons, were analyzed for key physicochemical parameters including pH, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), oxidation-reduction potential (ORP), total hardness (TH), total …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 84–93 Read article
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Room Light Controller with Bidirectional Visitor Counter
Abstract: With the speed at which technology is developing today, automation is essential for increasing productivity, preserving energy, and enhancing consumer ease. The concept and implementation of an automatic room light controller with a bidirectional visitor counter are presented in this study. By detecting the presence and quantity of people in a room, the device is designed to automatically adjust the lighting, cutting down on wasteful electricity use. Pairs of Infrared …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 33–37 Read article
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Low Velocity Impact Behaviour of Corrugated Foam Sandwich Panel
Abstract: Composite sandwich structures, renowned for their high flexural stiffness and low weight, are widely used across industries such as aerospace, automotive, and marine. However, their durability can be compromised by impact-related damages, which affect both the core and face sheets. This study explores the performance of corrugated sandwich panels compared to conventional designs under low-velocity impacts. Using a drop weight impact testing machine, panels made from polyurethane foam cores and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 79–99 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Development of Polymer–Micro-Aluminum Composites for Lightweight Engineering Applications
Abstract: This research focuses on the systematic development of polymer–micro aluminum composites, with polypropylene (PP) and epoxy selected as representative polymer matrices. Micro aluminum fillers in the range of 5–25 wt.% were incorporated through melt blending (PP) and casting (epoxy), and the resulting composites were evaluated in terms of mechanical performance, microstructural integrity, and crystalline characteristics. Tensile strength of the composites increased significantly, from 31 MPa in neat PP to 44 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–12 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Polymer–Gel Composite Phase Change Materials: A Functional Polymer Composite Approach for Solar-Thermal Energy Storage in Building Facades
Abstract: This study investigates polymer–composite phase change materials (PCMs) in the form of polymer–gel hybrids as multifunctional systems for solar–thermal energy storage in building façades. Paraffin- and PEG-based PCMs were embedded into polyurethane and acrylic gel matrices to create shape-stabilized polymer–composites with high PCM loading (70–80 wt%). Differential Scanning Calorimetry (DSC) confirmed distinct melting/freezing transitions at ~56°C (paraffin) and ~42°C (PEG), with enthalpy values of 120–150 J/g, closely matching theoretical predictions, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 36–51 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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Store Management System
Abstract: E-commerce into agriculture has significantly changed the existing structures of the agricultural markets. For farmers, it provides a direct outlet to sell their farm products and for consumers, it offers the opportunity to buy fresh and organic farm products. Here we report the design and development of an e-commerce web application for agricultural trading that not only makes use of modern web technologies but also allows farmers to list their …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–9 Read article
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Futuristics of Renewable and Non-renewable Resources in Electricity Demand for Carbon-free Transportation with Electric Vehicles
Abstract: Greenhouse gases significantly impact the global environment, with carbon being the most substantial contributor. Transport accounts for nearly 22% of total global carbon emissions, prompting the urgent need for sustainable alternatives. Electric Vehicles (EVs) present a promising solution for mitigating transportation-related emissions. This study explores the transition from fossil-fuel-based transportation to EVs, examining ownership costs, global power demand, renewable energy integration, and trends in EV manufacturing and sales. A comparative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1408–1425 Read article
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Formulation and Evaluation of Herbal Face Serum
Abstract: The cosmetics industry has witnessed steady growth over the past decade, driven largely by an expanding youth demographic. Globally, women are increasingly conscious of their skin focusing not only complexion improvement but also wrinkle reduction and the maintenance of a youthful, radiant appearance. This trend has stimulated rising demand across a wide range of skincare products. In response, the objective of this study is to formulate, develop, and evaluate an …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 30–40 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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The Role of 3D Modeling in Additive Manufacturing: Advances and Applications
Abstract: By making it possible to create intricate, highly functional, and customized components for a range of industries, the combination of 3D modeling and additive manufacturing (AM) has completely changed contemporary production processes. With an emphasis on both the technological advancements in digital design and its real-world applications, this paper examines the critical role that 3D modeling plays in the success of additive manufacturing. 3D modeling, the cornerstone of additive manufacturing, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Dynamics of Prime Gap Sets: An Algorithmic and Set-Theoretic Approach
Abstract: In this paper, we present a theorem and an efficient algorithm for computing all prime numbers up to a given integer X. Our theorem establishes a relationship between the primes up to X and those up to (X+1)2, providing a theoretical foundation for the algorithm. The proposed method improves upon the traditional Sieve of Eratosthenes by dynamically eliminating multiples of primes using only the remaining numbers in the set, thereby …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 20–25 Read article