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1948 articles for “U.V” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Thoracolumbar Spine Surgery: Peri-operative Nursing Care Needs and Quality of Life
Abstract: Aim and Objective: To explore the nursing care needs of the patients after thoracolumbar spine surgery during preoperative, post-operative, home care and to assess the quality of life. Design: An exploratory study. Methods: The study was conducted among 50 patients who had undergone thoracolumbar spine surgery in neurosurgery units of tertiary care hospital from July 2018 to September 2020. The nursing needs were assessed by interviewing participants telephonically using an …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Nucleonic Level Measurement in Fluid Catalytic Cracking Unit, Oil & Gas Refinery
Abstract: The measurement of ‘Level’ is crucial in an Industrial Process, as low levels can cause problems and damage equipment. In contrast, high levels can cause overflow and potentially create safety and environmental problems. When working with the Fluid Catalytic Cracking System Unit (FCCU) in Refineries, there are requirements for various types of level measurement instruments. One of them is the Nucleonic Level Measurement device used in the process involved in …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 · pp. 41–49 Read article
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Cognitive Emotional Regulation Strategies and Locus of Control among Substance Users
Abstract: Substance use is among the major health concern that creates significant disability in a person's mood and behavior, which leads to poor health and loss of productivity. Increasing substance use is associated with various short and long-term effects which affect how they deal with stress, regulate their emotions, decision making, and overall quality of life. The current research aims to Examine relationship between cognitive emotional regulation strategies and locus of …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Virtual Clothes Try-On
Abstract: Virtual try-on of clothes is gaining popularity thanks to its commercial potential. It can be used for intelligent recommendation or online purchasing to reduce the selection to a few designs and sizes. Through this project we aim to create a mechanism that enables users to see themselves wearing virtual clothes while looking at a screen display, without taking off their actual clothes. We aim to stimulate the selected clothes on …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 16–20 Read article
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Enhancing Energy Efficiency in Air Handling Units Through AI Driven Optimization
Abstract: This research explores the implementation of artificial intelligence (AI) in enhancing the energy efficiency of Air Handling Units (AHUs) in manufacturing facilities. The study proposes a comprehensive solution architecture that incorporates temperature and humidity sensors within AHUs, utilizing RS485 for data communication. The collected data undergoes exploratory analysis, which informs the training of a decision tree algorithm, chosen for its accuracy and compatibility with edge gateways. The algorithm's predictions enable …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
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Impact of Polymer Chemistry on Population and Land Use Pattern to Identify Black Spot
Abstract: The incorporation of polymer chemistry has become more essential in the design and upkeep of roadways, greatly improving their strength, adaptability, and overall effectiveness. The use of polymers in road building mainly focuses on the alteration of bitumen (asphalt) and the creation of novel pavement materials. The roads are one of the best and most suitable modes of transport for every person in India, but in this highly populated country, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 540–548 Read article
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Groundwater Quality Analysis of various Physicochemical Parameter
Abstract: The quality of groundwater is a critical concern for sustainable water resource management. Groundwater serves as an essential resource for a multitude of purposes, encompassing the provision of potable water and the sustenance of agricultural irrigation systems. However, it is susceptible to contamination from anthropogenic and natural sources. The objective of this research is to assess the spatial distribution and quality of groundwater parameters in Umred Taluka to provide valuable …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–11 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 Read article
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A Review on the Regulatory Study for Implementation of Schedule-M Amendments in Pharmaceutical Industries in India
Abstract: A major regulatory change in pharmaceutical manufacturing industry in India is the introduction of the updated Schedule M (2023–2024). The aims to compliance the country's Good Manufacturing Practices (GMP) with international quality standards. The review evaluates the Schedule M amendments implementation strategies, industrial impact and regulatory relevance. Legislative texts, official notices, WHO GMP reports, ICH guidelines, guidance documents of CDSCO and peer-reviewed literature were all explored as part of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Unraveling the Dynamics of Carpet Area Measurement: Implications for Real Estate Development and Urban Planning
Abstract: Real estate development and urban planning depend on carpet area measurement for property valuations, regulation compliance, and buyer’s decision-making. In the past, the absence of a standard definition of carpet area often resulted in varying calculations of area and gave the buyers a short end of the stick as a product of mistrust. In India, the introduction of the Real Estate (Regulation and Development) Act (RERA) brought in a standardized …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 2, 2024 · pp. 21–30 Read article
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Ulcerative Colitis- An Ayurvedic Review And Treatment – A Case Study
Abstract: Ulcerative colitis (UC) is a chronic autoimmune disease that causes inflammation and ulcers of the Large intestine. It is one of the most common GI disorder. Usually the pain affects only the intestinal mucosa and sub mucosa, causing small ulcers in the intestinal lining called ulcers. In most of patients, the disease begins from the anus and continues to spread. Its pathogenesis is multi factorial and includes genetic predisposition, epithelial …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 31–39 Read article
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The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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IOT Based Effortless Gas Leak Detection and Reservations
Abstract: The paper proposes an IOT Based Effortless Gas Leak Detection System for LPG and CO, utilizing gas sensors and a microcontroller. Positioned strategically, the sensors monitor air quality, triggering alarms if LPG or CO levels surpass safety thresholds.We plans to use this product for determination of gas leakage of LPG from household appliances and Carbon Monoxide produced from household appliances,vehicles and air conditioners with the help of MQ series gas …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 1, 2024 · pp. 33–41 Read article
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AI Chatbot for Expressing Visual Content
Abstract: Recently, the artificial intelligence (AI) chatbot for expressing visual content has shown remarkable multi-modal capabilities. It can recognize funny features in photos and create webpages straight from handwritten text. These characteristics are uncommon in earlier vision language models. We think the use of a more sophisticated large language model (LLM) is the main factor behind vision verbalizer's superior multi-modal generating capabilities. We introduce vision verbalizer, which employs a single projection …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 11–19 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Ayurveda: The Magnificent History of Medicinal Treatment for Human Body with Spirituality to Mortality by Vedic Science
Abstract: Ayurveda’s significance is seen all around the world. Treatments based on Ayurveda have the potential to have a big impact on the world. The contribution, however, is the Indian Vedic Science, which was established in antiquity by Indian saints. Our Vedas and Upanishads support the concept of Ayurveda, which is covered in the Atharva Veda. But as our history demonstrates, Ayurvedic science has seen ups and downs. Today, its importance …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article