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1961 articles for “Keywords: Omega-3 fatty acids (n-3 PUFAs)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Cross-sectional Study to Analyse Level of Stress among Nursing Students of Christ College of Nursing, Jagdalpur, Chhattisgarh
Abstract: Nursing education combines rigorous academic training with demanding clinical responsibilities, exposing students to multiple stressors that may affect their psychological well-being, academic performance, and professional growth. Assessing stress levels and their association with socio-demographic variables is essential for developing effective support strategies. This study aimed to assess the level of stress among nursing students and determine its association with selected socio-demographic characteristics. A descriptive cross-sectional study was conducted among 150 …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article
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Synthesis, characterizations, and challenges of magnetic Zn x Fe 2-x O 3 nanoparticles
Abstract: Diluted magnetic semiconductors comprising magnetic nanoparticles are a driving force in a variety of applications, including biomedicine, bioelectronics, photocatalytic activities, and nanosensors. However, the functionality of these nanomaterials can be influenced by several factors, such as synthesis route, characterization procedures, source, crystal size, and morphology. In this research, emphasis is devoted to synthesizing and characterizing magnetic nanoparticles. Most importantly, it is focused on biological methods, Co-precipitation methods, hydrothermal Gravity methods, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Dye Sensitized Solar Cells Based on Extracted Natural Dyes and Synthetic Dyes with Nanocomposite Material
Abstract: Producing dye sensitised solar cells in their original colours required a number of different techniques. Plants and berries were used to extract these dyes. The DSSCs were manufactured by recycling the old dyes. It was clear that the efficiency of the power conversion was deteriorating. TiO2 mesoporous films' potential applications were also studied. This study employed electrochemical impedance spectroscopy to examine the interactions of natural dyes with TiO2. Bi2O3 nanoparticles …
Published in Journal of Polymer & Composites Read article
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Uses of Nanotechnology in Medical Diagnostic Applications
Abstract: Nanoparticle and nanodevice is a boon for mankind to treat and deal with disease and medical diagnosis respectively. Nanotechnology is formed by the unity of chemistry, engineering, biology and medicine restricted to the nanoscale (about 1–100 nanometer (nm)). For example, early detection of malignant tumors and cancer biomarkers, which is impossible using conventional technologies. In here we will discuss nanosized sensors to identify different pathological parameters, foreign antigen and toxic …
Published in Research and Reviews : A Journal of Medical Science and Technology Read article
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Basic Concept and Role of Memory Enhancer (Muqawwi- E-Hafiza) Unani Drugs in the Management of Alzheimer’s Disease (Nisyaan-E-Shekhukhi): A Review
Abstract: Alzheimer's disease is a neurological disorder in which the death of brain cells causes memory loss and cognitive decline, defined as a dementing illness in which anterograde amnesia is a dominant symptom and is the most common cause of Dementia in the elderly. There is no direct mention of this condition in classical Greek literature, but Alzheimer's disease is almost always associated with forgetfulness or fasaad-e-takhayy’ul. Although the etiology is …
Published in Research & Reviews : Journal of Herbal Science Read article
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An Integrated Study to Extrapolate the Interaction of NMDAR with Potential Ligands for the Treatment of Alzheimer’s Disease Symptoms
Abstract: Objective: Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the health status of older adults especially those above the age of 60 years. As an outcome, two types of medications have been developed for the treatment of its symptoms which are acetylcholinesterase (AChE) and N-methyl-D-aspartate receptor (NMDAR) antagonist. This paper uses the computational approach to understand the interaction of NMDAR with four major phytocompounds (curcumin, L-epicatechin, ginsenosides, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 15–27 Read article
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Microneedles and the paradigm shift in the field of dentistry: A Review Article
Abstract: Needle-based instruments are advancing as a promising tool for both diagnosis and treatment within the medical realm. They possess versatility, being capable of drug delivery and fluid extraction, catering to both systemic and local requirements. Unlike traditional drug delivery methods, which necessitate repeated dosing in the oral cavity due to saliva presence, there's a growing demand for delivery systems like needle-based devices that can offer sustained drug release orally. These …
Published in Research and Reviews: A Journal of Dentistry Read article
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Role Strain Among Male Nursing Students in Selected Nursing Colleges in Mangalore
Abstract: Background: The role is the behavior that is expected out of a person in a particular status. Social standards influence the advantages and responsibility of a status, and roles are performed in accordance with social standards. Role strain is the stress that occurs if they are not able to meet the expected role in their life and are facing inequalities in their profession. Objective: To assess the role strain among …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
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Evaluating the Impact of a Structured Teaching Program on Knowledge and Attitude Toward the Utilization of Menstrual Cups Among Nursing Students in Chosen Nursing Colleges in Wayanad
Abstract: Introduction: The current investigation aimed to evaluate the impact of a structured teaching program on the knowledge and attitude concerning the utilization of menstrual cups among nursing students in specific nursing colleges in Wayanad. The study objectives included evaluating the knowledge level, assessing the attitude, determining the effectiveness of the structured teaching program on knowledge and attitude regarding menstrual cup usage among nursing students, and exploring any association between pre-test …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article
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A Study to Assess the Effectiveness of Body Mechanics Training Programme on Reducing Low Back Pain Among Nursing Officers Working in Selected Hospitals, Bangalore
Abstract: Background: Low Back Pain (LBP) is a common work related injury and costly problem among the nursing profession. Numerous studies indicate a greater occurrence of back pain and work-related back injuries among nursing officers in comparison to other occupations. Prevention of LBP is a very important technique to maintain proper body mechanics. This study aimed to assess the effectiveness of body mechanics training programme on reducing low back pain among …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 29–62 Read article
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A review of nanocomposite coatings for marine applications
Abstract: This paper reviews the performance and material characterization of nanocomposite coatings on the hydraulic pipelines of Ship A-Frame, which were corroded due to seawater exposure. Hydraulic pipe lines made of carbon steel face severe corrosion due to the highly corrosive nature of seawater with high salinity and microorganisms. The shipping industry utilizes organic and inorganic coatings to safeguard the hydraulic and seawater pipe lines of deck machines from marine pollution. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Real-time Facial Recognition with Convolutional Neural Networks for Personalized Music Therapy
Abstract: In this project, a web-based application has been developed that integrates computer vision-based facial recognition, multiple algorithms, and machine learning approaches. The given system obtains a user’s emotions in the real-time frame by analyzing facial expressions such as eyes, mouth, the forehead, and so on. It detects emotions like happiness, sadness, that is neutrality, or rock. For a given detected emotion, language, and a user’s chosen artist, the system recommends …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 67–76 Read article
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Study to evaluate and correlate the levels of heavy metals in dental calculus of burnt tobacco (Mishri) users and non-tobacco users with their periodontal status Using Atomic Absorption Spectrometry (AAS)
Abstract: The use of burnt tobacco products, such as Mishri, is associated with numerous health risks, including periodontal diseases. Heavy metals present in tobacco can accumulate in dental calculus, potentially exacerbating periodontal conditions. This study aimed to assess and establish a correlation between the levels of heavy metals present in dental calculus among burnt tobacco (Mishri) users and non-tobacco users, in relation to their periodontal health status. Utilizing Atomic Absorption Spectrometry …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 166–174 Read article
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Performance and Reliability Analysis of NAND Flash Memory through Characterization
Abstract: An extensive review of NAND flash memory technology is given in this study, with an emphasis on its design, guiding principles, and most recent developments. The importance of NAND flash memory in contemporary digital storage systems is discussed in general terms, emphasizing how widely used it is in everything from consumer electronics to business storage solutions. The underlying architecture of NAND flash memory, including the arrangement of memory cells, pages, …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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Food Insecurity: A Growing Threat to Nigeria’s National Security
Abstract: In Nigeria, the topic of food security has played a significant role in the national security equation. The study argues that though the strategic conception and approach are important in the articulation of threats analysis, the non-strategic conceptions like food security or insecurity are also important. It also examines the1erformance of this sector and the extent to which it could be employed as a catalyst to the defence of national …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 57–65 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Synthesis of YSZ nanopowders by using PVA-metallic nitrate combustion method
Abstract: Yttria-stabilized zirconia (8YSZ) powder is widely used as a thermal barrier coatings material for various aeronautical gas turbine engine components and structures operating in high temperature environment as well as for the nozzle of solid rocket engine due to its relatively high thermal expansion coefficient, thermal reflectivity, low thermal and good corrosion resistance. The synthesis of single or composite metal oxides by combustion of metal-polyvinyl alcohol gel precursors (Me-PVA) has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article