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568 articles for “dependent”
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Density as a Factor Limiting the Workability of Sintering Aluminum Powder Preforms
Abstract: The technology advancement has envisaged going for near net shape of the produces. Also, near netshapes formed are again cold upset for obtaining a final shape of the Product.In this study a general scheme expressing the factors which affect a workability of Sintering aluminium powder preforms. This work deals with an experimental determination Workability of Sintering Aluminium powder preforms is limited by their density. A standard of rings of ratio …
Published in International Journal of Mechanics and Design · Vol. 4, Issue 1, 2018 · pp. 40–43 Read article
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Psychosocial Aspects of Senior Citizens and Perceived Non-productivity Leading to Depression and Cognitive Dysfunction
Abstract: Growth and development of an individual begins from the time of birth and the process continues throughout the life. As the person grows physical and mental development also takes place. With advancement of science and technology and treatment modalities the life expectancy has been increased from 53 years in 1978 to 59 years. As a result of which geriatric population is rapidly increasing in India.After 60 years the productivity of …
Published in International Journal of Geriatric Nursing · Vol. 5, Issue 2, 2022 · pp. 1–5 Read article
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Crisis Intervention as Psychological First Aid in Psychiatric Emergency Presentation (PEP)
Abstract: Any demanding event or dangerous condition has a possibility for occasioning a crisis. The event or situation that comes at the end of the series of stressors may be minor making the situation more than the individual can handle. A crisis varies from stress in that a crisis outcomes in a period of unadorned disorganization resulting from the disappointment of individual’s usual coping mechanism or the absence of usual resources …
Published in International Journal of Neurological Nursing · Vol. 4, Issue 2, 2018 · pp. 23–28 Read article
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Acute Spinal Cord Injury: Assessment and Management
Abstract: Around the world, 250000–500000 people every year face a spinal cord injury. Cause of acute spinal cord injuries includes falls, motor vehicle accidents, sport injuries, trampoline accidents, gunshot, stab wound, abscess/infection on the spinal cord and birth injuries which affect the spinal cord. Most spinal cord injuries are due to preventable causes such as road traffic crashes, falls or violence. The term ‘spinal cord injury’ refers to damage to the …
Published in International Journal of Neurological Nursing · Vol. 8, Issue 1, 2022 · pp. 7–11 Read article
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Hypothesis Types and Research
Abstract: A hypothesis is a statement of the researcher’s expectation or prediction about relationship among study variables. The research process begins and ends with the hypothesis. It is core to the entire procedure and, therefore, is of the utmost importance. Hypothesis is nothing but the heat of the research. In the research without hypothesis, research cannot service properly. The researcher question identifies the study concepts and asks how the concepts might …
Published in International journal of Nursing Science Practice and Research · Vol. 4, Issue 2, 2018 · pp. 78–80 Read article
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A Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge of School Teachers Regarding Learning Disability in Children in Selected Primary Schools at Yeola, Maharashtra, India
Abstract: Objectives of the study: To assess the existing knowledge of primary school teachers regarding identification and management of learning disability in school children, to assess the effectiveness of STP among primary school teachers regarding identification and management of learning disability in school children and to find association between pre-test knowledge of primary school teachers and demographic variables. Methodology: An evaluative approach was considered. The independent variable was STP and dependent …
Published in International Journal of Pediatric Nursing · Vol. 4, Issue 2, 2018 · pp. 47–53 Read article
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Re-Designing Spaces Under Elevated Roads
Abstract: The rapid expansion of elevated road networks in Indian metropolitan cities has significantly improved urban mobility while simultaneously creating extensive underutilized spaces beneath flyovers and elevated corridors. In Mumbai, these under-elevated spaces frequently remain neglected, poorly illuminated, and socially disconnected, often becoming locations for debris dumping, illegal parking, informal encroachments, and unsafe activities. Despite several beautification initiatives, including landscaped gardens, public art installations, and pedestrian walkways, many interventions fail to …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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E.M.E.R.G.E. (Empowering Mixed-Use Ecosystem Realms for Revenue, Growth, & Expression).
Abstract: Contemporary urban life is increasingly fragmented, with learning, working, socializing, & leisure dispersed across disconnected parts of the city. This disconnection leads to long commutes, enhances dependence on mobility, increases daily stress, and weakens public life & community interaction. Rigid zoning laws & mono-functional building typologies fail to respond to the hybrid, layered, & dynamic patterns of everyday urban life, particularly within the context of emerging digital economies and evolving …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 2, 2026 Read article
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Climate Responsive Strategies in Architecture: Their Contemporary Relevance through the Lens of Culture, Heritage, and User Experience
Abstract: Climate-responsive architecture has long been recognized as a fundamental principle of sustainable design, particularly within vernacular settlements where buildings evolved in response to local climatic conditions, available materials, and cultural traditions. Traditional architecture in India demonstrates how passive environmental strategies such as courtyards, verandas, thick masonry walls, jaalis, and locally sourced materials contribute to thermal comfort, energy efficiency, and long-term building performance. However, rapid urbanization and increasing dependence on mechanical …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 2, 2026 Read article
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Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems
Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However, despite effective channel estimation, practical receiver performance can still be degraded by radio-frequency front-end imperfections, …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Design of Real-Time Candy Vending Machine Using Verilog HDL
Abstract: This project focuses on the implementation of a real-time candy vending machine using Verilog Hardware Description Language (HDL). The main objective is to design a digital system that simulates the operation of a candy machine, including accepting coin inputs and monitoring the total inserted amount in real time. Verilog HDL is used to model the system’s behavior at the register– transfer level, making it suitable for academic and conceptual understanding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Agro Seed Oil Production through Mechanothermal Extraction: Exploring its Potential for Chemical, Pharmaceutical, and Food Industries
Abstract: The increasing demand for sustainable and environmentally friendly industrial raw materials has intensified research into the production of oils from agro seeds using efficient extraction technologies. This study reviews the mechanothermal extraction of agro-seed oils with emphasis on their potential applications in chemical, pharmaceutical, and food industries. Mango (Mangifera indica) seeds, which are commonly discarded as agricultural waste during fruit processing, contain significant quantities of lipids, proteins, carbohydrates, antioxidants, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 Read article
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A Study to Assess the Knowledge Regarding Alcoholism Among Auto Drivers in a Selected Area of Rewa City with a View to Develop Information Booklet
Abstract: Indian society is gradually transitioning from a traditionally conservative framework to a more open and liberal environment, leading to changing attitudes toward alcohol consumption, particularly among youth. Alcohol use is increasingly viewed as socially acceptable, despite its serious health and social consequences. Globally, harmful use of alcohol accounts for nearly 2.5 million deaths annually, including approximately 3,20,000 deaths among individuals aged 15–29 years due to alcohol-related causes. This growing concern …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 19–28 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Vehicle to Grid and Grid to Vehicle single phase Grid
Abstract: This paper contains the modeling and intelligent control of Vehicle-to-Grid and Grid-to-Vehicle single-phase bidirectional converter. It is suggested to have a hybridized double-loop control architecture including an outer DC-link voltage regulation loop and an inner grid current control loop. A voltage control loop is added to a DC-link voltage adjustment system with fuzzy logic controller (FLC), to adjust dynamic performance under various operating conditions controlled by adaptively regulating the DC-link …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article