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154 articles for “extension and demonstration”
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Web 3.3: Towards the Future of Intelligent Personal Assistants
Abstract: The way individuals communicate with one another and conduct business has altered as a result of the deployment of the web. Compared to the current web, which uses HTML, the semantic web is far more beneficial. A set of design standards, cooperative working groups, and numerous enabling technologies make up the semantic web. Web 3.3 aims to increase the complexity and level of intelligence of the internet. It has the …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article
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Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article
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Listening to Colonial Disruption: Sound, Silence, and Cultural Memory in the Works of Chinua Achebe
Abstract: This article examines the significance of sound and silence in the fiction of Chinua Achebe, arguing that auditory experience functions as a crucial medium through which cultural memory, identity, and resistance are represented. Although Achebe’s novels have been extensively studied in relation to colonialism, nationalism, and language politics, comparatively little attention has been paid to their acoustic dimensions. Drawing on postcolonial theory, oral tradition studies, and cultural memory studies, this …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 10–15 Read article
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Computational Fluid Dynamics Simulations of Horizontal Wellbore Cleaning and Cement Placement Processes in Drilling and Completions Engineering Applications
Abstract: Mathematical modeling and simulations of complex coupled processes require both robust and accurate physics-based techniques. Computational fluid dynamics (CFD) have been used extensively in a wide range of fields such as aerospace, automotive, and chemical processing industries to name a few. Typically, processes during drilling and completion of wells involve modeling of complex rheology fluids, turbulence modeling, multiphase phenomena, and heat transfer. Each individual process could possibly result in a …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 26–39 Read article
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Pharmacological Review On Enzalutamide
Abstract: A key therapeutic option in the treatment of prostate cancer, especially metastatic castration-resistant prostate cancer (mCRPC), is Enzalutamide, a second-generation anti androgen drug. Enzalutamide, discovered by Charles Sawyer and Michael Jung at the University of California, Los Angeles, was developed and Food and Drug Administration (FDA)-approved in 2012. Its therapeutic significance was further solidified with subsequent extensions in indications to encompass metastatic castration-sensitive prostate cancer and non-metastatic castration-resistant prostate cancer. …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 7–15 Read article
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Evaluation on the Mechanical Strength of TIG Welded 6061Aluminium Alloy Joints
Abstract: Aluminum alloy Al-6061 is extensively used in aerospace, automotive, and marine industries due to its excellent mechanical properties, lightweight nature, and corrosion resistance. However, welding this alloy presents challenges such as porosity, hot cracking, and strength reduction in the heat-affected zone (HAZ). Tungsten Inert Gas (TIG) welding, known for its precision and quality, is commonly employed for joining Al-6061. This study investigates the tensile strength of TIG-welded butt joints of …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Regulatory Approach for Safe Long-term Storage –Human Intrusion Scenario
Abstract: Storage is a necessary step in the management of radioactive waste. In recent years, storage step is extended; serious consideration has been given, in some countries to the use of storage as a long-term management option. This option, in particular is considered for spent fuels, high-level, and long-lived wastes. Reactor production of Mo-99 generated high and lived radioactive wastes. These wastes require complex and expensive facilities for extensive handling, separation, …
Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 25–36 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Extending the Lifespan of Offshore Platforms: Vital Strategies for Durability
Abstract: This article explores the preventive measures for enhancing the durability and sustainability of aging offshore platforms, focusing on their evaluation, life extension, and potential repurposing. It begins by discussing diagnostic systems that assess structural integrity and safety, highlighting the importance of degradation models and neural networks in predicting corrosion effects on platform longevity. The paper then contrasts outdated Malaysian jacket platforms with emerging renewable energy solutions, particularly Ocean Thermal Energy …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Partitioning Dynamics of Nutrients in Transition Dairy Cows: Metabolic, Hormonal, and Cellular Mechanisms Affecting Lactation and Fertility
Abstract: This review critically examines nutrient partitioning dynamics in dairy cows during the transition phase, a period that profoundly affects lactation and reproductive performance. During this phase, cows experience extensive physiological changes that alter nutrient requirements and utilization, making effective management essential for health and productivity. The review synthesizes current research on mechanisms of nutrient partitioning, with particular attention to energy, protein, and mineral balance, which are crucial for optimizing milk …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 10–20 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Self Healing Material: An Introduction
Abstract: Self-healing materials have emerged as a transformative innovation for sustainable infrastructure and advanced applications such as wearable electronics and smart transportation systems. These materials possess the intrinsic ability to repair damage autonomously or with minimal external intervention, thereby extending service life and reducing maintenance costs. Inspired by biological systems, self-healing mechanisms are broadly classified into extrinsic approaches, such as microcapsule and vascular networks based healing, and intrinsic mechanisms involving reversible …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 604–611 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
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Experimental Study on the Impact of Polymer (PAM) in Enhancing Oil Recovery in Upper Assam Basin Oil fields
Abstract: The Upper Assam Basin, one of India’s most mature and extensively exploited hydrocarbon provinces, is experiencing declining oil production due to reservoir depletion and unfavorable crude oil–brine–rock (COBR) interactions. In this context, alkali–polymer (AP) flooding has emerged as a promising chemical enhanced oil recovery (EOR) strategy. AP flooding reduces interfacial tension (IFT) through in-situ surfactant generation by alkali and improves sweep efficiency via polymer-based mobility control, typically using polyacrylamide (PAM). …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 283–296 Read article
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Assessment of antibody titer distribution against Salmonella enterica among suspected enteric fever patients.
Abstract: Typhoid fever is a global health problem, causing millions of deaths each year. It is an endemic problem in many developing countries including Nepal. Development of exceptional mechanisms for persistence in its host supports its survival and transmission. However, due to a lack of sophisticated labs and adequate funds, difficulties in the estimation of worldwide impact are often encountered. The Widal test is a diagnostic technique extensively employed to identify …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 2, 2023 · pp. 26–33 Read article
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Unani Concepts of Brain Pathology: Humoral Mechanisms in Māddī Neurological Disorders
Abstract: Background: The Unani System of Medicine (USM) considers the brain (Dimāgh) as the principal organ of Quwā Nafsāniyya (psychic faculties), responsible for sensation, cognition, memory, movement, and emotional regulation. According to Unani principles, health is maintained through equilibrium of Mizāj (temperament) and Akhlāṭ (humours), whereas disease develops when this balance is disturbed. Among neurological disorders, Sū’-i-Mizāj Māddī Dimāgh refers to pathological conditions of the brain associated with the accumulation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 21–29 Read article