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891 articles for “quality”
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Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
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The Role of Obstetric and Gynecological Nursing in Enhancing Maternal and Neonatal Health Outcomes
Abstract: Obstetric and Gynecological (OBG) Nursing is a specialized nursing discipline that focuses on the comprehensive health care needs of women throughout their lifespan, from puberty to post-menopause. This field plays a crucial role in promoting maternal and neonatal health, reducing maternal and infant mortality rates, and supporting women’s reproductive rights. OBG nurses provide holistic care encompassing the entire continuum of reproductive health, including antenatal, intranatal, and postnatal care, gynecological management, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 21–25 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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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 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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Getting Rid of Carbon: A New Direction for the Chemical Industry
Abstract: The chemical industry is a major contributor to global greenhouse gas emissions due to its reliance on fossil-based feedstocks, energy-intensive processing routes, and long-lived capital infrastructure. Achieving international climate targets therefore requires deep decarbonisation across the entire chemical value chain, a transition complicated by technological limitations, economic risks, and systemic operational barriers. This article critically evaluates key emission-reduction pathways, including electrification of process heat, substitution of fossil resources with bio-based …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 52–61 Read article
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Articulating Precarious Waters: A Critical Review of Pharmaceutical Contaminants, Their Pathways, and Ecological–Health Risks in the Aquatic Systems of Bihar, India
Abstract: The article examines the emerging yet under-documented issue of pharmaceutical contaminants in Bihar’s aquatic environment, focusing on their types, occurrence, sources, and implications for ecology and human health. Pharmaceuticals and personal care products-including antibiotics, non-steroidal anti-inflammatory drugs, analgesics, beta‑blockers, and hormones – are conceptualized as pseudo-persistent pollutants because continuous inputs from households, healthcare facilities, and diffuse anthropogenic activities sustain their presence in surface water and groundwater despite individual compounds having …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 28–51 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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Green and Nanotechnology Approaches for the Determination of Tungsten (VI): A Modern Analytical Perspective
Abstract: The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–35 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 Read article
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Modern Molecular Breeding Approaches in Apiaceae for Enhanced Agronomic Performance
Abstract: The Apiaceae family, including economically vital crops like dill, coriander, and fennel, faces significant productivity constraints due to narrow genetic diversity and slow conventional breeding. This study presents a robust molecular breeding framework integrating RAPD and SSR markers to accelerate genetic improvement. Five diverse germplasm accessions were evaluated across morphological, biochemical, and molecular parameters. Molecular analysis revealed substantial polymorphism, with SSR markers demonstrating high informativeness (average PIC = 0.73). Notably, …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 19–36 Read article
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Development of Flame-Retardant Polymers for Safer Construction Materials
Abstract: This research explores the development of smart textiles using bio-based materials that exhibit both temperature-adaptive and self-cleaning properties. With growing demand for sustainable alternatives in the textile industry, this study focuses on incorporating natural fibers and biodegradable coatings to achieve responsive fabric behavior. Key fabrication techniques, material choices, and performance characteristics are discussed, along with potential applications in medical, sports, and environmental textiles. This paper aims to bridge the gap …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 35–43 Read article
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Modern Technology Analog Circuits:Applications and Challenges - An Exploration
Abstract: An analog circuit is an electronic system that processes signals that vary continuously. The signals reflect physical quantities, such as sound, temperature or light, as proportionate levels of voltage or current. However, they are not digital circuits. They operate on a continuous spectrum. They use resistors, capacitors, and transistors, and can amplify, filter, or otherwise alter signals. Analog circuits are still a vital feature of electronic systems today, allowing continuous-time …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 14–23 Read article
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Performance Evaluation of EV Charging Station with Bidirectional Power Flow for Grid Support Applications
Abstract: The swift increase in the number of electric vehicles (EVs) brings considerable prospects and difficulties for contemporary power distribution networks. This paper presents the performance evaluation of a 20 kW bidirectional EV charging station designed to facilitate both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) power flow for enhanced smart grid support applications. The proposed topology integrates an AC/DC bidirectional converter interfaced to the 415 V, 50 Hz three-phase utility grid through …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article