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1167 articles for “application technology”
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Significance of Nanoparticles in Phase Change Materials as Heat Transfer Fluid for Solar Heat Absorption
Abstract: The utilization of solar energy as a sustainable and eco-friendly power source has gained significant traction in recent years, with innovations constantly evolving to improve efficiency and effectiveness.one such innovation lies in the integration of nanoparticles into phase change materials (PCMs) to enhance their heat transfer capabilities, making them ideal candidates for solar heat absorption applications. This paper delves into the significance of nanoparticles in PCMs as heat transfer fluids …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 57–65 Read article
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A Brief Review on Interfaces of Copper Welded to Different Materials
Abstract: In engineering applications, three metals with high conductivity are primarily used such as copper (Cu), aluminium (Al), and silver (Ag). Each has its unique set of properties that affect specific engineering applications. Infact the choice of conductor depends on a mixture of cost, technical parameters, and environmental conditions. Among these, Copper is widely valued in engineering applications due to its antimicrobial property, excellent electrical (about 100% IACS) and thermal conductivity, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–36 Read article
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Current Developments In 4D Printing Technology
Abstract: The perception of four-dimensional (4D) printing expertise was prompted through the time dimension inclusion in three-dimensional (3D) printing. Many other industries, including engineering, health, and the arts, have revealed a great deal of attention it. Recently, innovations in bioscience have been established that can be implemented using 4D printing. The ability to integrate time with situational variations has many benefits, but perceptibility and adaptability are merely two. Smart material, stimulus, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 108–120 Read article
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A Literature Review on Internet of Medical Things
Abstract: Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, treatment planning, and patient management through data-driven insights and automation. The Internet of Medical Things (IoMT) represents a significant shift in modern healthcare, enabling real-time patient monitoring, data-driven decision-making, and enhanced medical outcomes. This literature review explores the architecture of IoMT, including perception layer, network layer, transport layer and application layer. It also thoroughly explores key challenges like ensuring data security, …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Activated Carbon Materials as Ideal Adsorbents for the Desulfurization of Fossil Fuels
Abstract: Removal of organosulfur compounds from diesel is of interest from scientific, social, economic, and environmental viewpoints. Production of clean fuel remains a primary goal of the petroleum refining industry. The reduction of sulfur content below stringent ppm levels in diesel fuels becomesincreasingly challenging due to the presence of sterically hindered sulfur compounds, such as 4,6- dialkyldibenzothiophenes, which are resistant to removal over conventional supported mixed sulfide hydrodesulfurization catalysts. Consequently, alternative …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 28–34 Read article
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TOXICOLOGY: Present-Day Difficulties for Investigating Safety Science and Target Safety Evaluation of Major Human Hepatocytes
Abstract: Preclinical toxicology has developed into a more thorough understanding of toxicity pathways from its descriptive beginnings. Technological developments have made it possible to forecast safety occurrences, mitigate adverse effects, and create safety biomarkers. Because they are able to self-renew and specialize into different types of human body cells, stem cells are currently being employed for in vitro toxicological applications. However, as compared to primary human hepatocytes, stem cell-derived HLCs perform …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
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Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Footstep Power Generation Using Piezoelectric Materials: A Renewable Approach for Smart Infrastructure
Abstract: The rapid depletion of fossil fuels and the increasing global demand for sustainable energy have necessitated the development of decentralized energy harvesting systems. This paper presents a comprehensive study on footstep-based power generation using piezoelectric materials as a viable renewable energy solution for smart infrastructure. The proposed system converts mechanical energy generated from human locomotion into electrical energy using optimized piezoelectric transducer arrays integrated beneath floor tiles. The study covers …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Investigation of the Hall and Nernst-Ettingshausen Effects in Diluted Magnetic Semiconductors
Abstract: This review explores the Hall and Nernst-Ettingshausen effects in various magnetic systems, including diluted magnetic semiconductors (DMS), topological insulators, superconductors, and novel composite materials. In DMS, the interplay of ferromagnetism and magnetic impurities introduces unique transport behaviors, particularly influencing the anomalous Hall effect (AHE) and thermomagnetic phenomena. We also examine the Nernst-Ettingshausen effect (NE) in topological insulators and superconductors, revealing the influence of band topology and vortex-like excitations. Special attention …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 1–5 Read article
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Fabrication of Natural Fibre Reinforced Polymer Composite by Hand Lay-Up Process
Abstract: The recent development in technologies has increased the usage of non-renewable resources during pro- duction due to remarkable properties. However, it has been a threat and unable to be replenished once used. In addition to this, natural fibre strengthens in a more significant way and it’s widely applicable in polymer composites materials. Furthermore, the use of plant fibres in polymer composites is due to its low cost and significant properties. …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 13–19 Read article
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Comprehensive Review of Adenoid Cystic Carcinoma: Pathogenesis, Diagnosis, and Emerging Therapeutic Approaches
Abstract: Adenoid cystic carcinoma (ACC)is an infrequent neoplasm, highly malignant, that develops mainly in the salivary glands with the potential to exist in any secretory glandular sites, including the lacrimal glands, breast, and respiratory tract. ACC usually has a benign initial course, but conversely, it is notoriously aggressive in behavior with high incidence of perineural invasion, local recurrence, and distant metastasis, mostly to the lungs. The tumor’s molecular features are characterized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–17 Read article
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Hybrid Epoxy Composites with Areca and Abaca Fibers: Effect of Nano-SiO₂ on Mechanical Properties
Abstract: This study explores the fabrication and mechanical evaluation of sustainable epoxy-based hybrid composites reinforced with Areca fiber (ARF), Abaca fiber (ABF), and nano-silica (SiO₂). The composites were made using a hand layup process, maked five variants (S1–S5) with ARF content ranging from 0–40 wt% and nano-silica content from 0–8 wt%, while maintaining ABF as the primary reinforcement. Mechanical performance was assessed through tensile strength (TS), flexural strength (FS), and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 606–613 Read article
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Thermodynamic Irreversibility in Semen Transport
Abstract: Sperm ejaculation is a vital reproductive process that involves both complex biological functions and energetic mechanisms. Beyond the physiological aspects, thermodynamics offers a framework to analyze energy conversion, exergy use, and irreversibility during sperm activity. ATP provides the main source of exergy for motility, but part of this energy is inevitably lost as heat and entropy generation, reflecting inefficiencies in the process. Because heat regulation directly affects metabolic rates, motility …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 Read article
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Magnetorheological Composite Dampers for Railway Wagon Suspension: Modelling Validation and Performance Analysis
Abstract: Railway wagons encounter continuous vibrations due to track irregularities, resulting in reduced ride comfort and higher dynamic loads. Conventional suspension systems based on springs, hydraulic dampers, or air suspensions provide only limited vibration mitigation. This work investigates the application of magnetorheological (MR) fluid-based dampers, where a polymeric carrier oil (silicone oil) reinforced with carbonyl iron particles serves as a smart composite suspension medium. The MR fluid is synthesized and characterized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 43–63 Read article
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A Note on Vaccine Design Using Bioinformatics Methods and Applications
Abstract: Vaccines prevent infectious diseases caused by viruses and bacteria saving millions of lives.It consists of certain agents that resemble disease causative agentsand stimulates our immune system to recognize and fight foreign antigens. Immune function or an immune response is the fundamental basis of the vaccine's mechanism. Vaccines are pharmaceutical derivatives that provide an affordable way to prevent diseases.Various bioinformatics approaches can be incorporated into vaccine design studies and development. Reverse …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)
Abstract: The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 12–21 Read article