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2000 articles for “effect” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Survey on Clubroot Disease (Plasmodiophora brassicae) of Mustard in Jamalpur District of Bangladesh
Abstract: The survey was conducted to determine the present status of Clubroot disease (Plasmodiophora brassicae) of Mustard at Jamalpur district of Bangladesh during the Rabi season of 2024–2025. A total of 25 farmers’ fields in 2 (two) Upazilas viz., Islampur and Dewanganj in Jamalpur district of Bangladesh were surveyed for Clubroot disease occurrences of Mustard. The varieties cultivated during survey were BARI Sharisha-14, BARI Sharisha-17, Tori-7, BINA Sarisha-9 and local cultivars …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 32–39 Read article
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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 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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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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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 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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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 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
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COMPUTATIONAL AND EXPERIMENTAL ANALYSIS OF A DOUBLE PIPE HEAT EXCHANGER WITH AND WITHOUT INSERTS USING NANO FLUIDS
Abstract: In applications that need warming procedures, improved heat exchange will also significantly boost heat efficiency and reduce the expense of design and operation. Double tube heat exchangers are best suited for high temperature and high compression applications due to their simplify diameters. Although they are cheap, they disseminate to the other types in a comparatively large amount. A number of approaches were developed to accomplish the required heat transfer rate …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
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An Integrated Computer-Aided Approach for Fixture Design and Assembly
Abstract: Fixtures play a crucial role in ensuring dimensional accuracy, productivity, and repeatability in modern manufacturing systems. With the increasing adoption of flexible and computer-integrated manufacturing, there is a growing need for systematic and automated fixture design methodologies. This work presents a computer-aided fixture design and assembly approach that integrates CAD-based modeling, modular fixturing concepts, and virtual assembly techniques. The proposed methodology covers the complete fixture development cycle, including workpiece analysis, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 24–39 Read article
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Design and Implementation of 32-Bit High Speed Vedic Multiplier
Abstract: To accomplish quicker and more effective calculation, this project combines a Kogge-Stone Adder with the Vedic Urdhva Tiryagbhyam (vertical and crosswise) multiplication method to create a high-speed 32-bit binary multiplier. The KoggeStone Adder minimizes total latency by reducing carry delay at the final addition stage, while the Vedic algorithm allows partial products to be formed simultaneously, increasing speed. This architecture divides 32-bit values into smaller components, multiplies them in parallel, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 18–26 Read article
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An Energy-Efficient CMOS Analog Front-End for Wearable Biomedical Monitoring Applications
Abstract: Because wearable biomedical monitoring technologies allow for continuous, real-time, and remote measurement of physiological parameters, they are quickly becoming a key component of contemporary healthcare. These systems place stringent demands on the analog front-end (AFE), which must accurately acquire and condition extremely low-amplitude biopotential signals such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG) while operating under severe power and size constraints. This paper presents the design and simulation of …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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The Cellphone Communication Crisis: Lost Signals, Dropped Calls
Abstract: Cellular communication is becoming an important feature of modern life offering immediate connectivity for personal, commercial and emergency communications. But poor network performance, lost calls, weak signals and limited coverage continue to be serious concerns for users around the world. The essay addresses the emerging crisis in cellular communication by assessing the main reasons for connectivity problems, such as network congestion, inadequate infrastructure, geographical obstacles, and technology constraints. The rapid …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 49–53 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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Nanobiotechnology in the Real World: How Lab Ideas Affect Real Life
Abstract: Nanobiotechnology is a new discipline that combines nanotechnology with biological sciences. It has changed the way science and technology work today. Changing materials on the nanoscale makes it possible to interact with biological systems in very specific ways. This opens up new opportunities in healthcare, agriculture, environmental management, and industry. This article talks about how nanobiotechnology has moved from the lab to the real world. Nanobiotechnology has led to tailored …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 53–62 Read article
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Crude Oil Degradation on the Influence of Palm oil-Fermented Wastewater Used as Biostimulant
Abstract: *Author for CorrespondenceUkpaka Chukwuemeka Peter E-mail: [email protected] The total petroleum hydrocarbon (TPH) degradation was monitored in a batch reactor with the addition of biostimulants like palm oil processed wastewater (POPWW) acting as nutrients, to effectively enhance high efficiency in contaminants remediation in clay soil. The kinetic components were evaluated in terms of specific rates of petroleum hydrocarbon degradation, maximum specific rate of total petroleum hydrocarbon degradation as well as the …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 1, 2026 · pp. 47–60 Read article
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From Baolis to Smart Systems – Exploring the Evolution of Underground Urbanism in India
Abstract: The concept of “Underground Urbanism” refers to the strategic development and utilization of subterranean spaces that provide creative solutions for contemporary urban issues related to limited spaces, environmental sustainability and urban resilience. The integration of underground spaces for the strategies devised for urban resilience is ensured to develop more particularly due to advancements in technology, increasing urbanization trends and urgency to adapt to the effects of climate change. Though this …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 12, Issue 1, 2026 · pp. 25–42 Read article
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GIS-Based Assessment of Flash Flood Hazard and Community Resilience in the Melamchi River Basin, Nepal
Abstract: Abstract: Flash floods are one of the most destructive natural hazards in mountainous regions due to their its rapid onset, high velocities, and short warning time. Erratic rainfall, cloudbursts, landslide, and climate-induced hydrological variability are the prime factors to trigger flash floods in the Himalayan region. The Melamchi River Basin in central Nepal has witness recurrent flash flood events, most notably the catastrophic 2021 flood. An Integrated hazard assessment and …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 1, 2026 Read article