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465 articles for “quality analysis”
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Comparative Study of Structural and Optical Properties of Bismuth Ferrite Nanoparticles for Photovoltaic Applications Synthesized via Different Sol-Gel Methods
Abstract: Pure multiferroic bismuth ferrite (BiFeO3) nanoparticles were successfully synthesized using an energy-efficient, low-temperature sol-gel method, comparing two distinct approaches: auto-combustion and non-auto-combustion. To ensure phase stability, the precursor solution's pH was strictly maintained between 1 and 2 using ammonia solution (NH4OH), while ethylene glycol (C2H6O2) was employed as a chelating agent for the Fe3+ and Bi3+ cations. All samples underwent a final annealing process at 500 °C to promote crystallization. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 83–94 Read article
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Flexural Analysis of Concrete Specimens with Substantial Substitution of Cement by Marble Dust and Scrap Rubber as Fibre
Abstract: Concrete is a crucial material in building and construction. Concrete is becoming more and more in demand every day. Concrete's essential ingredients are running out, therefore we need to find replacements. In addition to providing the necessary strength to the concrete, the replacement materials should also have the properties of the genuine components used in concrete. Typically, compression is where concrete shines, whereas tension and shear are where it falters. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 95–100 Read article
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Microstructural and Mechanical characterization of Brass and Bronze alloys
Abstract: Brass, a copper and zinc alloy, is renowned for its malleability and resistance to corrosion, which makes it perfect for musical instruments and plumbing. Aluminium bronze, containing copper and aluminium, offers superior strength and wear resistance, commonly used in marine and industrial applications for its durability and corrosion resistance. This study aimed to compare the micro and macro structural characteristics of brass and aluminium bronze alloys. The microstructures of these …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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Consumer Awareness and Adoption Barriers of E-Pharmacy Services in Delhi/NCR: A Mixed-Methods Investigation
Abstract: Background: The rapid digitization of India's pharmaceutical market has positioned e-pharmacies as a transformative force; yet, consumer adoption remains significantly low despite growing awareness. Objectives: This study investigates consumer awareness levels, purchasing behaviors, trust perceptions, and adoption barriers regarding e-pharmacy services among urban Indian consumers. Methods: A sequential explanatory mixed-methods design was employed. Quantitative data were gathered via a structured questionnaire administered to 65 respondents in Delhi. Qualitative insights were …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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The Impact of Nutrition on Sports Performance and Academic Success: A Study Among University Athletes – Eastern Technical University of Sierra Leone
Abstract: University athletes operate within dual-performance environments that require simultaneous academic and athletic excellence. Nutrition plays a critical role in supporting both physiological performance and cognitive functioning; however, limited empirical work has examined its combined influence on athletic and academic outcomes within university athlete populations, particularly in low-resource contexts. This study aimed to investigate the relationship between nutritional practices, sports performance, and academic achievement among university athletes at the Eastern Technical …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 16–27 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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SpecialMinds: Learning App for Visually Impaired Students
Abstract: This research aims to identify the challenges and barriers that visually impaired students encounter in the educational environment, with a focus on adaptive strategies and innovative solutions. Visually impaired students often experience difficulties in listening, speaking, reading, writing, conceptual understanding, and social communication. As one of the most excluded and discriminated groups in society, these students may feel isolated, which further impacts their learning. Given the significance of quality education …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 11–23 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Recycling of Waste Cloths for Greener Future
Abstract: The exponential development of fashion and textile industries around the world largely increase, the production of waste cloth has grown by a steep rate, presenting serious environmental issues in terms of landfill garbage, greenhouse gas emissions and waste depletion. Millions of tons of textiles are disposed of every year, and the recycling of waste cloth has become one of the critical solutions to a circular economy in the process of …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 1–13 Read article
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Agronomic Performance, Harvest Dynamics, and Oil Yield of Lemongrass Varieties in a Semi‐Arid Ecosystem: Effects of NPK Regime and Harvest Timing
Abstract: This study investigated the agronomic performance, biomass production, and essential oil yield of three lemongrass (Cymbopogon spp.) varieties (CKP-25, Krishna & Pragati) under varying NPK fertilization regimes and harvest timings in a semi-arid ecosystem. A split-plot factorial design with four nutrient levels (Control, 50%, 100%, and 150% of the recommended NPK dose) and two harvest stages (90 and 180 days after planting, DAP) was implemented. Results revealed that both NPK …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 8–21 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 Read article
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Design of an Integrated Health Monitoring System on an IoT-Based Framework
Abstract: With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits. However, IoT has become a boon for the health sector and humanity on account of its countless benefits, rendering improved quality of service and patient-centric care. An Integrated Health Monitoring System (IHMS) is presented in this paper. This new IoT-based framework integrates wearable …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article