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1760 articles for “Applications”
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring compliance …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Bacterial Cellulose Produced by Komagataeibacter saccharivorans BC-C1under different culture conditions: A comparative analysis
Abstract: Bacterial cellulose is a significant biopolymer with various applications because of its remarkable properties, like improved crystallinity, better mechanical strength, a high water- holding capacity, and biocompatibility. The current study aims to investigate how static and agitation culture conditions influence the bacterial cellulose production by Komagataeibacter saccharivorans BC-C1. Under static culturing condition, thick cellulose sheets with a higher yield of 0.94 ± 0.19 g/L were obtained, whereas in agitation culture …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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Adolescent GynaecologyGynecology: Navigating Reproductive Health in the Transitional Years
Abstract: Adolescence is a critical developmental stage characterized by rapid physical, emotional, and reproductive changes. During this period, girls commonly experience gynecological issues that differ from those seen in adult women and require age-appropriate care. Menstrual disturbances are among the most prevalent concerns, including dysmenorrhea and heavy menstrual bleeding, which can significantly impact daily activities, school attendance, and quality of life. Hormonal disorders, such as Polycystic Ovary Syndrome (PCOS), are also …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Revolutionizing Bone Grafting: A Survey of 3D Printed Solutions
Abstract: Due to the limits of conventional grafts, large bone deficiencies resulting from illness or trauma continue to be a significant clinical challenge. Autografts, while osteoconductive and osteoinductive, are limited by donor availability and morbidity, and allografts/xenografts carry risks of immune rejection and disease transmission. In contrast, 3D printing (additive manufacturing) enables fabrication of patient-specific bone scaffolds with controlled architecture, composition, and bioactivity. Using techniques, like selective laser sintering (SLS), stereolithography …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 16–23 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Bluetooth Controlled Car
Abstract: The design and execution of a wireless remote-controlled vehicle that employs Bluetooth technology, generally paired with an Arduino microcontroller, is the focus of this project. The primary aim is to develop a cost-efficient, easily accessible, and user-friendly prototype car, which can be accurately maneuvered in various directions (forward, backward, left, and right) through commands dispatched from a Bluetooth-enabled smart device, such as a smartphone or tablet. In this endeavor, an …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behaviour of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineeringstructures. However, the long-term durability of conventional steel reinforcement is often affected bycorrosion when exposed to aggressive environmental conditions, which can significantly reduce the servicelife and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer(GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensilestrength, light weight, and excellent …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behavior of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineering structures. However, the long-term durability of conventional steel reinforcement is often affected by corrosion when exposed to aggressive environmental conditions, which can significantly reduce the service life and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer (GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensile …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Predicting Traffic Congestion in Mumbai Using Artificial Intelligence
Abstract: Abstract — Mumbai's ongoing traffic problems are brought on by the city's fast urbanization, population expansion, and growing reliance on private automobiles. The majority of traffic management technologies in use today are reactive, frequently reacting only after congestion has already arisen. Using information from a variety of sources, such as commuter surveys, weather reports, and traffic incident logs, this study explores the application of artificial intelligence (AI) and machine learning …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 2, 2026 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: Abstract A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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BIOPLASTICS AS AN RENEWABLE SOURCE FOR PACKAGING
Abstract: The packaging industry is undergoing a major transformation as the focus shifts toward sustainability and eco-friendly materials. Bioplastics have emerged as a promising alternative to conventional plastics, offering both functional and environmental benefits, especially in the food and pharmaceutical sectors. This analysis highlights the impact of bioplastics on packaging, emphasizing their improved properties, sustainability, and compliance with strict standards. Bioplastics enhance barrier performance, helping extend the shelf life of pharmaceutical …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Third Generation Biofuel as Alternative Fuel for Compression Ignition Engine
Abstract: In recent years, many researchers have tested compression ignition engines with the goal of creating a diesel fuel alternative. This was also published in literature. The limited supply and increased cost of petroleum products are two main reasons for the search for alternate feedstocks for biodiesel. This paper reviews the potential of alternative biodiesel feedstocks to replace petroleum diesel, specifically focusing on algae biodiesel and the process for producing biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 10–15 Read article
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article