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291 articles for “MEMS”
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Mnemonics and Nursing
Abstract: Being able to remember new and unfamiliar material is very necessary for the success of students. As all the students move through high school to college and university and beyond, larger amounts of new information and the content that is presented to them is very complex. Mnemonics are various strategies that help to retain very complex information or facts and figures in the long-term memory. Thus, these are some of …
Published in International journal of Nursing Science Practice and Research · Vol. 5, Issue 2, 2019 · pp. 19–25 Read article
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Study to Assess Knowledge and Utilization Regarding Ayushman Bharat Yojna among Adults
Abstract: Introduction: Ayushman Bharat Yojna or Pradhan Mantri Jan Arogya Yojna or National Health Protection Scheme is a national scheme that aimed at making necessary intervention in Primary, Secondary and Tertiary Health care system, in a holistic fashion. It was launched in 2018 under the agencies of Ministry of Health and Family Welfare, India. Aim of the study: The present study is aimed to assess the knowledge and utilization regarding Ayushman …
Published in International journal of Nursing Science Practice and Research · Vol. 8, Issue 1, 2022 · pp. 30–35 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Intersections between Architecture and Culture and Heritage Management
Abstract: Architecture and culture are deeply interconnected, with each influencing and reflecting the other over time. Buildings are more than physical structures; they represent the beliefs, traditions, values, and lifestyles of the communities that create them. As societies evolve, architecture becomes a living record of their social, political, economic, and technological development. At the same time, cultural heritage management plays a crucial role in protecting and preserving these architectural assets, ensuring …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 Read article
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Sustaining Artisan Livelihoods through Community Cooperative Housing: A Socio-Spatial Study of the Kumbhar Community in Pune, India
Abstract: This research addresses the problem in contemporary community housing. Housing is delivered as a physical product, while the social, economic, and cultural systems that sustain community life are largely ignored. In the resettlement of the Kumbhar (potter) Community in Pune, equal land was allotted without cohesive architectural planning, which has led to fragmented spatial organisation, underutilised work areas, conflicts over resources, unclear boundaries, and a decline in economic efficiency due …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 2, 2026 Read article
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Preservation to Continuity:Reconsidering Heritage Management Paradigms
Abstract: Conventional heritage management frameworks largely treat heritage as a finite collection of monuments and protected sites, prioritizing material conservation over cultural continuity. In rapidly transforming socio-urban contexts, such approaches often fail to address the dynamic relationships between heritage, lived cultural practices, and collective memory. The primary objective of this study is to develop a holistic heritage management framework that integrates tangible and intangible heritage through participatory governance and adaptive policy …
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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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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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Design And Finite Element Analysis Of RCC And Timber-Composite RCC Columns with Seismic Effect
Abstract: This study presents the design and finite-element analysis (FEM) of three reinforced cement concrete (RCC) column configurations under seismic effect, with the objective of quantifying how a central Sal-timber core alters the structural performance of an otherwise conventional RCC column. All three columns are of identical external size (300 × 300 mm) and clear height 3.0 m, fixed at both ends, and use M30 concrete, Fe500 steel, 4–16 mm φ …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Programme on Knowledge Regarding Newborn Care Among Postnatal Mothers at Selected Hospitals in Rourkela, Sundargarh, Odisha
Abstract: The neonatal phase encompasses the initial four weeks of a baby's existence. A lot of complicated physiological changes happen, and the baby responds to all sorts of stimuli, during this time. Efficacious and continuous care is required at this time. "Newborn care includes determining if resuscitation is necessary, conducting a full medical examination, giving the baby immunisations and preventative drugs, making sure the baby gets enough to eat, gets enough …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 2, 2026 · pp. 26–33 Read article
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Experimental Investigation on Shear & Flexural Behaviour of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineeringstructures. However, the long-term durability of conventional steel reinforcement is often affected bycorrosion when exposed to aggressive environmental conditions, which can significantly reduce the servicelife and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer(GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensilestrength, light weight, and excellent …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Synthesis, Structural Elucidation, and Antimicrobial Screening of a Cobalt (II) Coordination Compound Derived from a Thiophene-Containing Schiff Base
Abstract: Abstract An N, O-chelating azomethine Schiff base ligand (HL), chemically identified as 2-{[(thiophen-2-yl) methylidene] amino} benzoic acid, was synthesized by an equimolar condensation reaction between thiophene-2-carbaldehyde and anthranilic acid in absolute ethanol in the presence of a catalytic amount of acetic acid. The corresponding cobalt (II) complex, formulated as [Co(L)₂] · 2H₂O, was prepared by refluxing two equivalents of the ligand with one equivalent of cobalt (II) acetate tetrahydrate in …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–7 Read article
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Experimental Investigation on Shear & Flexural Behavior of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineering structures. However, the long-term durability of conventional steel reinforcement is often affected by corrosion when exposed to aggressive environmental conditions, which can significantly reduce the service life and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer (GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensile …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, 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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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Comparative Analysis of a G+29 RCC Building under Indian Wind Zones III, IV, and V Using Parametric BIM–FEM Integrated Workflow
Abstract: The increasing demand for high-rise reinforced concrete (RCC) buildings in urban regions has made wind-load assessment an important aspect of structural design. In tall buildings, wind-induced lateral forces significantly affect serviceability performance, structural stability, and occupant comfort. Recent advancements in Building Information Modelling (BIM) and finite element–based structural analysis have improved the efficiency, accuracy, and interoperability of structural design workflows. The present study investigates the comparative wind response of a …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article