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1133 articles for “Application analyses”
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Literature Review on Real-Time Dashboard Systems in Healthcare and Education
Abstract: Real-time dashboards are revolutionizing data analysis and visualization within education and healthcare, highlighting the realms of online learning analytics and emergency medicine. Such systems maximize decision-making power, efficiency of workflows, and awareness in real time. The literature review below explores diverse methodologies, benefits, and pitfalls, and presents suggestions for potential avenues for research in the future. Growing access to data and advancements in visualization and analytics technologies have given rise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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Comparative Evaluation of Hibiscus Cannabinus and Solanum Trilobatum Extracts as Inhibitors for C- Steel Corrosion protection in Acidic Medium
Abstract: This study analyzed the efficacy of various inhibitors in safeguarding carbon steel against corrosion in hydrochloric acid. The compounds that were subjected to testing included Acalypha indica root extract (AIRE), Hibiscus cannabinus (HC), and Solanum trilobatum (ST) leaf extracts. The investigation focused on the inhibitory efficacy through the application of gravimetric and electrochemical impedance methods. GC-MS and FTIR were employed to investigate the features of the inhibitors and co-inhibitors. Tafel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 555–565 Read article
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Recent Trends in Programming Languages: Navigating the Evolving Landscape
Abstract: The programming language landscape is constantly changing, driven by technological progress, evolving developer preferences, and the growing complexity of today's applications. As software development becomes more sophisticated, the demand for programming languages that can accommodate various paradigms and streamline workflows has intensified. This paper explores recent trends in programming languages, focusing on significant innovations in language design, the emergence of new paradigms, and the transformative impact of technologies such as …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 10–20 Read article
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Advancements in Polymeric Capillary Materials for Chromatographic Applications
Abstract: Traditionally, glass capillaries have been the material of choice due to their inertness, transparency, and precision in delivering small sample volumes. However, glass capillaries have significant drawbacks, including fragility, limited flexibility, and difficulties in modification for specialized applications. Recent advancements in polymer chemistry have introduced novel polymeric capillary materials that offer several advantages over conventional glass capillaries. Additionally, they exhibit enhanced durability and resistance to a broad range of chemicals, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 137–144 Read article
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Experimental Assessment and Statistical Argument of Al-Si/CSA/MoS2 Hybrid Composites for Mechanical and Tribological Characteristics
Abstract: To augment the mechanical and tribological properties of Al-Si matrix composites complement with molybdenum disulphide (MoS₂) and coconut shell ash (CSA), a mixed experimental and Face-Centered Composite (FCC)strategy was employed. A liquid metallurgical method called stir casting was used to create hybrid composites with 5–15 wt.% CSA and 1–3 wt.% MoS₂. A FCC experimental design with thirty runs was used to thoroughly evaluate the materials. This design allowed for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 792–802 Read article
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Physicochemical Analysis of Oil Extracted from Raphia Sudanica Fruit Sold in Edu Local Government Area of Kwara State, North Central Nigeria
Abstract: Raphia sudanica, commonly called Raphia hookeri or bamboo palm fruit, is one of the most valuable species among known palm fruits found in Nigeria and is widespread in major parts of West Africa. In this study, oils extracted and analyzed from Raphia sudanica fruits (pulp and seed) revealed the respective physicochemical values; acid value (5.56, 6.10 mgKOH/g), peroxide value (2.44, 5.82 Meq/kg), iodine value (41.30, 68.10 gI₂/100 g), saponification value …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 67–75 Read article
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Development of Robot Arm Fingers with Polymer Soft Materials
Abstract: Lightweight soft material applications have attracted attention to Basalt Fiber Reinforced Polymer (BFRP) laminates because of their impressive mechanical characteristics. The impact response and stress-strain behavior of epoxy resin laminates armored with basalt fiber and banana fiber are investigated during this project using computational and experimental approaches. The hand lay-up method was employed to create laminates with a thickness of 3 mm, dimensions of 300x300 mm², and a layout of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 432–439 Read article
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A Review of Electrical Conduction, Optical Sensing, and Semiconductor Device Innovations
Abstract: Electrical conduction and semiconductor device technologies form the backbone of modern electronic and sensing systems. This review presents a comprehensive analysis of conduction mechanisms across different materials, including conductors, semiconductors, and insulators, with particular emphasis on charge carrier behavior, resistivity, and energy band structures. The study highlights how variations in material properties and external conditions influence electrical performance and device efficiency. The paper further explores advancements in semiconductor devices, focusing …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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MXene-Infused Conductive Nano-Polymers for Edge-Computing Enabled Flexible Environmental Monitoring Devices
Abstract: MXene-infused conductive polymer composites have emerged as highly promising materials for next-generation flexible environmental monitoring devices because they combine electrical conductivity, mechanical flexibility, analyte sensitivity, and compatibility with low-power electronics. In this work, a Ti₃C₂Tₓ MXene–TPU/PVA conductive nano-polymer composite was developed as a multifunctional sensing platform for edge-computing enabled environmental monitoring. The composite was fabricated by dispersing MXene nanosheets into a thermoplastic polyurethane/poly(vinyl alcohol) (TPU/PVA) matrix, coating the conductive precursor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Influence of Center Cut Geometry and Power Law Index on the Free Vibration of Functionally Graded Shells
Abstract: This study explores the influence of power law variations and center cut geometries on the vibrational characteristics of functionally graded material (FGM) shells using finite element analysis (FEA). Stainless steel-alumina oxide (Al2O3) composites serve as the FGM, offering a unique blend of ceramic heat resistance and metallic toughness. Power law functions within APDL tailor material properties across the shell thickness. The research investigates vibrations under various boundary conditions (CCCC, CCFF, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 194–209 Read article
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Enhancing Energy Efficiency in HVAC Systems: A Comprehensive Study of EC+ Fans, VFDs, and AI Integration
Abstract: This research paper explores the integration of EC+ fans with Variable Frequency Drives (VFDs) and Permanent Magnet (PM) motors to enhance energy efficiency and operational performance in heating, ventilation, and air conditioning (HVAC) systems. An extensive energy audit was conducted at the BidP plant in Bangalore, focusing on air handling units (AHUs) in Hangar 101. The audit revealed substantial variations in fan efficiency, secondary fan performance, power consumption, and airflow …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 44–54 Read article
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Overview of Ionic Polarization: A Model Based Novel Approach
Abstract: This study presents a comprehensive analysis of ionic polarization through a novel model-based approach that integrates theoretical, computational, and experimental methodologies. Ionic polarization, which significantly influences the dielectric properties of materials, is examined through the lens of the Clausius-Mossotti equation and the Debye relaxation model, providing a theoretical framework for understanding the relationship between ionic displacement and dielectric behavior. To explore ionic displacement and polarization at the atomic level, advanced …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 18–25 Read article
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Safety of Structure
Abstract: The thickness of structural components is a vital factor in ensuring their durability and stability under various load conditions. In this study, the material thickness is first determined through the application of bending equations, which are used to analyze regions where bending forces are most significant. The bending stress generated by external loads is considered to calculate the required thickness to prevent failure under such stresses. Additionally, the effect of …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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The Effect of the Treatment by Combining Hyaluronic Acid (HA) Filler and Botulinum Toxin A (BTX-A) on the Upper Face
Abstract: Recently, more people have better aesthetic satisfactions with the application of various treatment methods. Especially, development of botulinum toxins and facial fillers provide patients having folds with new hopes. Aims: We studied to clarify the aesthetic effect of the treatment by combining the injectable hyaluronic acid (HA) and botulinum toxin A (BTX-A). Setting and designs: 115 patients complaining about folds in foreheads, glabellars, and lateral periorbital regions were selected. We …
Published in Research and Reviews : Journal of Surgery Read article
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Metabolites in Modern Medicine: Decoding the Future of Health and Diseases
Abstract: The end products of many metabolic processes in cells are called metabolites. Each reaction contributes a specific metabolite. Metabolites act as fingerprints of on-going biological processes. Constant changes in cellular composition due to both environmental and internal factors. By analysing the types and presence of metabolites, scientists can effectively reconstruct the inner workings of a cell or organism. In the past, analysing metabolites was a slow and tedious process, often …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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Delay Analysis of HS-14T 45nm CMOS SRAM with Different SRAM Techniques for Improvement in Speed
Abstract: This paper presents a novel HS-14T design aimed at significantly improving read and write delays compared to conventional 6T and other memory cells RHRD-12T, SEUH-12T, and NHRC-14T. As technology scales, the demand for faster and more stable memory cells becomes increasingly critical. Our proposed HS-14T incorporates additional transistors to enhance stability and reduce access times, resulting in notable performance gains. Comprehensive simulations reveal that the HS-14T SRAM cell substantially reduces …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 1–13 Read article
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Enhancing Concrete Performance With GGBFS: An Analysis of Strength Characteristics at Various Replacement Levels
Abstract: This study investigates the effect of ground-granulated blast furnace slag (GGBFS) as a partial replacement for cement on the mechanical properties of concrete. The primary objective was to assess the compressive, flexural, and split tensile strengths, along with the modulus of elasticity, at different replacement levels of cement with GGBFS and at distinct curing ages of 7, 28, and 56 days. Concrete mixes were prepared by replacing cement with GGBFS …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 121–138 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article