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845 articles for “base frame”
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The Doomsday Clock and Global Health: A Medical Sociological Analysis of Existential Threats to Human Civilization From 1947 to 85 Seconds to Midnight Situating the Biosocial Crises of the Twenty-First Century
Abstract: Since its inception in 1947, the Doomsday Clock maintained by the Bulletin of the Atomic Scientists has functioned as a socially constructed barometer of civilisational risk, translating complex scientific, geopolitical, and technological threats into a universally legible symbolic chronometry. As of January 2026, the Clock stands at 85 seconds to midnight, its most alarming position in nearly eight decades of operation. This article adopts a medical sociological framework, drawing on …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Integrating Value Education into Curriculum Development: A Comprehensive Approach
Abstract: In today's educational landscape, the necessity of incorporating value education into curriculum development has garnered heightened attention. This abstract delineates a holistic approach towards achieving this integration, acknowledging the fundamental role of values in shaping both individuals and societies. Through the integration of values within the curriculum, educational institutions strive to nurture students not merely academically, but also ethically and emotionally. The proposed approach commences with a meticulous examination of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 13–19 Read article
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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Development and Application of Advanced Materials for Oil Spill Cleanup and Contaminant Removal
Abstract: Oil spills and environmental contaminants representing critical challenges to ecosystems and human health, demanding innovative and effective solutions. Advanced materials have emerged as transformative tools in addressing these issues, offering superior efficiency and sustainability compared to conventional methods. They are environmental and ecological threats, necessitating effective cleanup and removal strategies. The development and application of advanced materials are developing promising solutions for addressing the challenges. This study focuses on the …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 17–25 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Systematic Analysis of the Pharmacological Properties of Different Plant Parts of Madhuca sp.
Abstract: Madhuca sp., a perennial tree belonging to the Sapotaceae family, is widely distributed across South and Southeast Asia. It holds considerable value across the food, beverage, and pharmaceutical sectors. The growing interest among cultivators, agronomists, and industry stakeholders stems from the diverse bioactive potential documented across different parts of the plant, including the bark, leaves, seeds, and flowers. Traditional and emerging evidence points to a wide spectrum of pharmacological actions, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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White-Rot Fungi-Based Bioprocessing for Circular Bioeconomy & Valorization of Lignocellulosic Waste
Abstract: The escalating global demand for sustainable resource management and the imperative to reduce dependence on fossil-based products have positioned the circular bioeconomy as a transformative paradigm for the 21st century. Lignocellulosic biomass, generated abundantly as agricultural and forestry residues, constitutes one of the most underexploited renewable carbon sources on Earth, yet its recalcitrant structure, interlinking cellulose, hemicellulose, and lignin, has long impeded its efficient valorization. White-rot fungi (WRF), predominantly belonging …
Published in International Journal of Fungi · Vol. 3, Issue 2, 2026 Read article
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A review on Pole mounted GSM based circuit breaker
Abstract: At this modern age of technology-heavy machines working on live electric lines are more in numbers then compared to past few years. The fast development of electrical industries developed standards and established safety procedures to minimize various types of major hazards that may lead to severe injuries and death of the operators. However, if the scenario of the lines needs to be repaired that’s where the job will be endangered …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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Literature Review on Structural Role of Diagrids in High-Rise Structure under dynamic forces
Abstract: Abstract – The Present literature Review focus on the response of high-rise structure using diagrids structural elements, various research work is conducted on diagrids by making variation in diagrids shape, Angle of Inclination, Location, and geometric properties. The main aim of this Literature review is to find suitable research gap on topic related to diagrids. This review paper summarizes various research work achieved by diagrid structural system for high rise …
Published in Journal of Structural Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 10–16 Read article
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A Study to Evaluate the Effect of Assertiveness Training on Knowledge Regarding Prevention of Sexual Abuse and Performance of Self-defense Techniques among Students
Abstract: period of both ignorance and innocence.Child abuseis a state of physical, emotional and sexual maltreatment meted out to person below the age of 18. Sexual abuse againstchildren has serious and long-lasting consequences on individual’s physical and mental health, their social and occupational functioning.This study was aimed to assess the effect of assertiveness training on knowledge regarding prevention of sexual abuse and performance of self-defense techniques among students.The objectives of the …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 15–19 Read article
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A study to assess the knowledge and attitude towards healthy and regular breakfast among undergraduate students of Moradabad, U.P.
Abstract: A research titled “A study to assess knowledge and attitude towards healthy and regular breakfast among undergraduate students of selected colleges of Moradabad, UP, was conducted in partial fulfillment of the requirement of a degree of ‘Bachelors of Science in Nursing at Vivekanand College of Nursing, Moradabad, UP. The present study is an attempt to determine the students’ knowledge towards healthy and regular breakfast, which in turn will help the …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 6–22 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Identification and Assessment of the Factors causing Cost Overrun in Housing Projects
Abstract: Poor cost performance is a major problem in construction industry, especially in developing countries like India. Statistics reveal that majority of the projects faces the issue of cost overrun. The interrelationship between the causes of cost overrun and stakeholders has not been explored yet. The aim of the research is to minimize the effects of project cost overrun. The objective of the study is to categorize and rank the potential …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 1, 2023 · pp. 17–34 Read article