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568 articles for “dependent”
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T-π, π-T Network Conversion for Three Identical Impedances and Equivalent Thevenin Networks Using Pspice Software
Abstract: Conversion methods of T-π (star-delta) π-T for impedances circuits, the behavioural modeling of Pspice simulation program is used to obtain equivalent circuits for two types of passive equivalents consisting of three impedance/resistance in two configurations using LAPLACE option of analog behavioural modelling. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. Two port …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 1, 2023 · pp. 8–25 Read article
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A Study to Assess the Effectiveness of Counselling on Level of Awareness Regarding the Ill Effects of Substance Abuse Among Substance Abusers at Selected Setting
Abstract: Background: Substance abuse means the harmful abuse of substance such as alcohol and illicit drugs. Unlimited use of these substances produces the dependence with behavioural, higher mental functioning, physiological changes when abused continuously and repeated strong desire, to ingest substance despite of its harmful consequences. Restoration of the health of the substance abusers mainly dependent on the policies related to alcohol and intervention planned to reduce the pattern of substance …
Published in International Journal of Neurological Nursing · Vol. 3, Issue 2, 2017 · pp. 28–36 Read article
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Issues and Challenges in Using Metro Network for WorkCommute in Pune & PCMC Area: A Study Towards Sustainable Urban Mobility
Abstract: Urban mobility within Pune and PCMC has rapidly transformed due to fast- growing urbanisation and ongoing metro network development project. Though the metro is envisioned as a sustainable mass transit system to reduce traffic congestion, fuel consumption, and environmental impacts, its network pattern are creating challenges for daily work commutes. Both metro network connectivity and existing public transport networks affect commuting efficiency and travel choices. In several metro corridors, these …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Caregiver Burden Among Informal Caregivers of Terminally Ill Older Adult Patients in Rural Kerala, India
Abstract: Background: The increasing prevalence of chronic and terminal illnesses among the aging population has elevated the role of family members as primary caregivers for seriously ill patients, particularly in rural settings. This shift places significant burdens on caregivers, encompassing financial, emotional, and physical challenges, thereby impacting their own quality of life and well-being.Objective: This study aimed to explore the factors associated with informal caregiver burden in rural patients with critical …
Published in International Journal of Geriatric Nursing · Vol. 9, Issue 1, 2026 · pp. 48–58 Read article
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General and Organic Chemistry Laboratory Experiments for Science, Pre-medical, and Pharmacy Students – Chapter V: Organic Synthesis
Abstract: Organic synthesis can be classified into many types, including simple one-step synthesis, multi-step, one-pot, microwave, or green synthesis. Each type of synthesis takes place through a specific pathway depending on reactants involved, the reaction conditions, the catalyst, the protection group, and the duration of the reaction. In some cases, the required compound can be prepared by more than one procedure, and an expert chemist prefers the procedure by which the …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 · pp. 8–16 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Design and Finite Element Analysis of Go-Kart Tubular Chassis Using Ansys
Abstract: The design of a go-kart chassis involves the vehicle’s performance, safety, and handling characteristics. The present work focuses on the conceptual design, modeling, and structural analysis of a go-kart chassis aimed at achieving an optimal balance between strength, weight, and driver comfort using FEA software ANSYS. A detailed chassis model was developed based on ergonomic considerations and racing standards. The design was evaluated through an FEM approach to assess stress …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 56–64 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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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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A LOOK AT ANALOGUE SIGNALS
Abstract: Analogue signals are what classic communication and signal processing systems are built on. These signals are necessary for showing things that happen in the real world, such sound, light, and temperature. They change all the time. In electronics and communication, signals are necessary for sending information from one place to another. There are two main types of signals: analogue and digital. Analogue signals use continuous and smoothly changing waveforms to …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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Brown Onion Oil Characteristics of Medicinal Integrity byLooking at the Extraction Operating Conditions
Abstract: New forms of disease are increasingly affecting people living in today’s highly pressure environment, and these diseases are less responsive to conventional treatments. Aromatic plants and species are used for thousands of years for many purposes, such as medicine, perfumes and cosmetics, as well as in the food industry for culinary and medicinal uses. The brown onion shows the following physic and chemical properties as determined experimentally as Refractive index …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 41–51 Read article
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Grid Integrated Electric Vehicle Charging withSeamless Power Exchange
Abstract: Abstract— To soar new miles the global mobility sector is considered ready for decarbonization by adopting technologies to improve efficiency, cost effectiveness and charging flexibility. Integration of electric vehicles (EVs) in mobility sector demands charging infrastructure which shall be cost-effective, reliable and supports charging in effective manner. Existing grid face challenges during power exchange and also requires technological innovations in developing future EVs charging network. Future charging networks must be …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Selection of Grade of Concrete & Grade of Steel
Abstract: Abstract In structural engineering, understanding the load distribution between steel and concrete is crucialfor ensuring the safety and stability of reinforced concrete structures. The load-bearing capacity ofboth materials, steel and concrete, is dependent on their respective characteristic strengths, whichinclude compressive, tensile, bending, and shear strengths. The behavior of a reinforced concretestructure under various loads is influenced by the interaction between these two materials, wheresteel typically handles tensile and bending stresses, …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 32–37 Read article
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Building a Sustainable Future Through Renewable Energy Exploration
Abstract: Climate change is one of the most pressing current challenges in terms of ecosystem stability, individual and global health and economy. The emissions of greenhouse gases due to the activities of anthropogenic origin on the combustion of fossil fuels, deforestation and other industrial processes. A renewable energy system converts the energy found in sunlight, wind, falling water, sea waves, geothermal heat or biomass, such as heat or electricity. Most of …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 87–94 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Decentralized Renewable Energy Systems: A Pathway for Rural Electrification and Energy Equity
Abstract: With a growing trend toward decentralized renewable energy (DRE) systems, the global energy landscape is changing dramatically. These systems have emerged as a viable solution to address two critical global challenges: rural electrification and energy equity. Reliable power is unavailable to millions of people, especially in rural and underdeveloped areas, which impairs economic development, healthcare, education, and general quality of life. Decentralized renewable energy systems offer a sustainable, cost-effective, and …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 1, 2025 Read article
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Liquid-Liquid Extraction Strategies for the Isolation of Bioactive Heterocyclic Compounds
Abstract: Liquid-liquid extraction (LLE) is a widely employed technique for the isolation of bioactive heterocyclic compounds from natural products, fermentation broths, and synthetic mixtures. The efficiency of LLE depends on several factors, including solvent selection, pH manipulation, salting-out effects, and temperature control. Conventional solvent systems, such as water-organic solvent pairs, are commonly used, while advanced strategies, including ionic liquids (ILs), deep eutectic solvents (DESs), ultrasound-assisted extraction (UAE), and microwave-assisted extraction (MAE), …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article