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1953 articles for “N-(4-chloro-2-methyl phenyl) maleimide” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Next-Generation Semiconductors: Making AI, 5G, and More Possible
Abstract: The current digital environment is being reshaped by next-generation semiconductors, which are powering revolutionary technologies including enhanced computing systems, 5G connectivity, and artificial intelligence. Next-generation semiconductors are at the heart of new technologies that are changing the world we live in today, such as artificial intelligence (AI), 5G communication, and advanced computer systems. As traditional silicon-based designs reach their limits in terms of size and performance, new materials, architectures, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 · pp. 27–40 Read article
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Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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MXene-Infused Conductive Nano-Polymers for Edge-Computing Enabled Flexible Environmental Monitoring Devices
Abstract: MXene-infused conductive polymer composites have emerged as highly promising materials for next-generation flexible environmental monitoring devices because they combine electrical conductivity, mechanical flexibility, analyte sensitivity, and compatibility with low-power electronics. In this work, a Ti₃C₂Tₓ MXene–TPU/PVA conductive nano-polymer composite was developed as a multifunctional sensing platform for edge-computing enabled environmental monitoring. The composite was fabricated by dispersing MXene nanosheets into a thermoplastic polyurethane/poly (vinyl alcohol) (TPU/PVA) matrix, coating the conductive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 298–309 Read article
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IoT-Connected Transparent Conductive Polymer–Silver Nano-Wire Electrodes for Real-Time Performance Monitoring of Flexible Solar Panels
Abstract: Flexible photovoltaic technologies have emerged as promising energy harvesting solutions for wearable electronics, portable power systems, and Internet of Things (IoT)-enabled smart devices. However, the limited mechanical durability of conventional transparent conductive electrodes and the lack of integrated real-time monitoring restrict their long-term reliability. This study presents an IoT-connected transparent conductive polymer–silver nanowire (PEDOT:PSS–AgNW) hybrid electrode for flexible solar panels, combining high optoelectronic performance with continuous wireless performance monitoring. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 1–18 Read article
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Model United Nations as a Platform for Interdisciplinary Learning and Global Citizenship: A Report on GMC Conference 2026
Abstract: This article presents a detailed report on GMC Conference 2026, the 3rd National Edition of the annual Model United Nations (MUN) conference organised by the GECA MUN Club at Government College of Engineering, Aurangabad (Chhatrapati Sambhajinagar), Maharashtra, India. Held on 17–18 January 2026, the conference brought together 370 delegates from more than 20 institutions across approximately seven Indian states, deliberating across nine committees on a range of substantive international and …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 12–20 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Selection of Cluster Head in Wireless Sensor Network towards Extending Network Life Time
Abstract: Reduced energy consumption and extended lifetime are basic requirements of Wireless Sensor Network (WSN) with distributed nature and dynamic topological changes. The motes are arranged in clusters and only one mote is chosen as cluster head to synchronize and data routing. The proposed work introduces an innovative approach of choosing cluster head in artificially intelligent wireless sensor network. In the proposed work, the residual energy consumption plays the major role …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Effect of concentration of Halloysite nanotubes on the Mechanical, Thermal and electrical properties of NBR/PP Elastomer nanocomposites
Abstract: Preparation of nanocomposites from immiscible polymer blends system has been investigated in this work. Natural clay named halloysite nanotubes are incorporated in the immiscible blend system using melt mixing process to prepare halloysite based nanocomposites comprising of PP/NBR blend system. FTIR studies have been carried out to establish the structure properties relationship. Nanocomposites are characterized by SEM for morphological studies. The thermal stability of nanocomposites has been evaluated by TGA …
Published in Journal of Polymer & Composites · Vol. 8, Issue 2, 2020 · pp. 62–67 Read article
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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Enhancing Combustion Efficiency and Emission Reduction in Single Cylinder CI Engines: A Study on Waste Dairy Scum Methyl Ester Biodiesel Blends with Aluminium Oxide Nanoparticles
Abstract: In response to the urgent need for sustainable energy solutions and environmental considerations, this study explored the utilization of waste dairy scum methyl ester biodiesel blended with diesel and enhanced with Al2O3 nanoparticles as an additive. The biodiesel was prepared by blending waste dairy scum methyl ester with diesel and incorporating 100 ppm Al2O3 nanoparticles. Experimental tests were conducted on a single-cylinder diesel engine, comparing neat diesel, B30 biodiesel blends …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 15–28 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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Entropy of Network Analysis and Cluster Detection Using Markov Theory
Abstract: Networks square measure an important part of nature and society; nonetheless several aspects of networks operate square measure still mostly unknown. from understanding the networks play a task; however even a small number of the foremost basic questions about networks will be troublesome to answer. Nevertheless, square measure two networks alike or different? However, do networks within networks type and the way will clusters be detected? As networks have amendment …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 1–4 Read article
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Effect of Nutritional Counselling on Risk Level of Glycosylated Hemoglobin (HbA1c) of Middle-aged Non-insulin Dependent Diabetics
Abstract: Glycosylated hemoglobin (HbA1c) is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over a prolonged period of time. As the average amount of plasma glucose increases, the fraction of glycosylated hemoglobin increases in a predictable way. This serves as a marker for average blood glucose levels over the previous months prior to the measurement. Present study was conducted on diabetic patients who were …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 3, 2014 · pp. 17–23 Read article
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A Study to Evaluate Knowledge and Attitude Related To Ethical and Legal Aspect Among Staff Nurses Working at Tertiary Hospital, Amritsar
Abstract: Pregnant women are more prone to assault and exploitation as a vulnerable category. Adverse occurrences are more likely when invasive and non-invasive therapeutic and diagnostic tests, as well as modern technology, are used. Nurses' lack of understanding has been linked to ethical and legal concerns in the health care industry in several studies. A descriptive design was used in the study. A total of 100 staff nurses were selected through …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 2, 2022 · pp. 24–34 Read article
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Risk Factors of Neonatal Deaths Among Asphyxiated Neonates in Ayder Referral Hospital, Mekelle, Ethiopia: A Case Control Study
Abstract: In the globe about 4 million babies die during neonatal period every year and 99% of these deaths occur in low-income and middle-income countries. Out of these, almost one-fourth of them lose their lives due to birth asphyxia. The main objective of this study was to assess risk factors of neonatal death among asphyxiated neonates in Ayder Referral Hospital, Mekelle City. Institution-based unmatched case-control study was conducted from December 1st …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 16–26 Read article
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The Emerging Roles of the School Librarian in the Tech Era: A Transformative Synergy with NEP 2020 and KVS Initiatives
Abstract: The implementation of the National Education Policy (NEP) 2020 in India mandates a radical paradigm shift in the school education ecosystem, moving from rote-based learning toward a 5+3+3+4 pedagogical structure centered on critical thinking and multidisciplinary exploration. This paper employs a Qualitative Policy-to-Practice Synthesis (QPPS) design to analyze the evolving role of the school librarian as a strategic catalyst within this framework, with a specific focus on the Kendriya Vidyalaya …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 15–21 Read article
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A New Approach to Reduce Guassian Noise in Images using Fuzzy Logic
Abstract: The quality of an image in any image processing algorithm plays a vital role as the quality of image is a primary thing. There are several techniques employed to enhance the quality of the image. Few techniques are applied to all images irrespective of the noise and few are employed to reduce particular type of noise present in the images. In this paper a new method is used for the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 7–11 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Implementation and Analysis of Internet Protocol TV Content Distribution Network Traffic Modeling in NS2
Abstract: Traffic analysis and modeling is an important approach to study network applications. In the past decade, numerous types of Internet and multimedia application traffic have been extensively studied and the result of this research shows that such traffic has the feature of self-similarity. Contrasted and these customary applications, IPTV has an alternate construction modeling and client practices. Thus, the attributes of IPTV movement vary from those of conventional applications and, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 6–12 Read article
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Numerical Investigation of Effect of SiO2–Water Nanofluid on Convective Heat Transfer and Pressure Drop of a Novel Heat Sink
Abstract: In this work, SiO2–water nanofluids are utilized to improve heat transfer characteristics of a novel heat sink. Commercial Fluent and Gambit package is utilized to run the test. Two different thermal conductivity models previously introduced by other researchers are tested and it is shown that one of them predicts the heat transfer coefficients better in comparison to the other. The range of volume fractions are from 0.5% to 2%. Also, …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 2, 2015 · pp. 9–13 Read article