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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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Analysis of Health Benefits Associated with Exclusive Breastfeeding Among Lactating Mothers in Maiduguri Metropolis, Borno State, Nigeria for Sustainable National Development
Abstract: Exclusive breastfeeding, which involves feeding an infant only breast milk for the first 6 months of life, offers numerous health benefits for both the baby and the breastfeeding mother. Despite the well-established advantages, global rates of exclusive breastfeeding remain lower than ideal, and this is also the case in Maiduguri Metropolis, Borno State, Nigeria. This study aims to explore the health benefits of exclusive breastfeeding for lactating mothers in Maiduguri …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Numerical Simulation of Crack Growth in Dynamic Loading Conditions
Abstract: Because it is crucial for forecasting structural failures in engineering applications, crack formation in materials under dynamic loading circumstances has become a crucial study topic. In this work, finite element methods (FEM) are used to numerically simulate fracture propagation in dynamic stress situations. The impact of loading rates, material characteristics, and crack geometries on crack growth patterns are assessed in a thorough parametric research. The work uses sophisticated computational methods …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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A Community Awareness Project on Monkeypox (Mpox) and Enhanced Nursing Care for Patients: A Comprehensive Review
Abstract: Monkeypox (Mpox), a rare viral infection transmitted from animals to humans by the monkeypox virus, has attracted increasing attention due to its ability to spread between humans and its clinical similarities to other poxvirus diseases, including smallpox and chickenpox. Enhancing nursing care for monkeypox patients is imperative to manage and contain its spread effectively. On 15th October 2024, B.Sc. Nursing Interns of Holy Family College of Nursing, University of Delhi, …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 11–15 Read article
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Mechanical and Environmental Performance of Curaua Fiber Composites: A Sustainable Alternative to Wood and PVC
Abstract: This study examines the mechanical behavior of curaua fiber composites, comparing their performance to other materials like wood and PVC. Curaua fibers, sourced from the Brazilian Amazon, demonstrate superior mechanical properties, making them a promising alternative for sustainable composite materials. The composites were fabricated using various methods and subjected to tensile, flexural, and impact tests. Results show that curaua fibers exhibit an average tensile strength of 30.7 MPa, outperforming wood …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 467–477 Read article
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Assess the Knowledge Level Regarding Prevention of Cervical Cancer Among Bachelor of Science Students at Selected Nursing College in Bengaluru
Abstract: Background: Cervical cancer is a major global health concern and one of the primary causes of cancer-related fatalities in women, with particularly high incidence rates in India. Early detection and prevention are crucial, but awareness remains insufficient, especially among future healthcare professionals like nursing students. This study evaluates the knowledge of first-year Bachelor of Science (BSc) nursing students regarding cervical cancer prevention. Materials and Methods: A non-experimental, descriptive research design …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 21–25 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
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Bridging the Theory-Practice Gap in Nursing Education in India: Exploring the Role of Simulation-Based Learning and AI-Driven Education
Abstract: The theory-practice gap in nursing education is a persistent issue that hinders the effective application of theoretical knowledge in clinical practice, ultimately affecting the clinical competence and decision-making skills of nursing graduates. This study explores the factors contributing to the theory-practice gap in nursing education in India and evaluates the potential of simulation-based learning (SBL) and artificial intelligence (AI)-driven education in bridging this gap. A mixed-methods approach was employed, involving …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 Read article
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Formulation and Evaluation of Herbal Anti-inflammatory oil using Tamarindus Indica oil, Vitex Negundo oil and Ipomoea batatas oil
Abstract: The formulation and evaluation of a herbal anti-inflammatory oil derived from the leaves of Tamarindus indica (Tamarind) Ipomoea batatas (Sweet potato) Vitex negundo (Nirgundi) aim to explore the therapeutic potential of these plants in managing pain and inflammation. Tamarind leaves are rich in flavonoids like quercetin, which primarily provide anti-inflammatory benefits by inhibiting pro-inflammatory cytokines, though their analgesic effects are moderate. Nirgundi leaves contain eugenol, known for its strong analgesic …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
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Nanotechnology in Internet of Things: A Powerful Partnership Shaping the Future
Abstract: IOT holds potential to improve lives and revolutionize industries. However, its widespread adoption depends on addressing the growing energy consumption concerns. Nanotechnology provides a pathway to create a more energy-efficient IoT ecosystem by enabling the development of self-powered devices, low-power electronics, high-performance batteries, and advanced sensors. IoT is changing our daily lives and work by linking countless devices and producing vast amounts of data.. However, this explosive growth comes with …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Percentage Changes According to Pathological Findings of Sentinel Lymph Node in Early and Early–like progressive Gastric Cancer
Abstract: Gastric cancer is considered to take the first place in incidence among visceral cancers in our country. We have studied to solve the problems to contribute gastric surgery practice, and the studying aim is to identify appearance of SLN, order of incidence and average amount. We selected 121 early and early-like progressive gastric cancer patients (Male: Female =2.7:1) who had undergone operations within last 10 years at Tumour Research Station …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 Read article
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Development of 3D Printing Filaments from Industrial Waste Plastics
Abstract: The global plastic waste crisis has prompted innovative approaches to sustainable material reuse, particularly in additive manufacturing. Simultaneously, the accumulation of plastic waste presents significant environmental concerns. Recycling plastic into filament supports eco-friendly innovation and brings us closer to a circular economy where materials are reused instead of thrown away. This study investigates the development of 3D printing filaments from industrial waste plastics, including polypropylene (PP), acrylonitrile butadiene styrene (ABS), …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Phytoremediation for Remediating Waste Water in Nandanpura Area, Jhansi (U. P.)
Abstract: Water is the most essential commodity in our day to day life. It is unimaginable to survive without water. Access to clean water has emerged as a major issue globally. The Nandanpura area in Jhansi faces significant challenges with wastewater management, impacting both the environment and public health. Contamination of heavy metals such as Zinc, Copper, Cadmium etc have caused a lot of harmful diseases in human beings. In order …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 36–46 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Exploring the Therapeutic Potential of Ilāj-Bil-Ghizā (Dietotherapy) in Depression: A Systematic Review
Abstract: Background: Depression is a common mental health condition characterized by feelings of sadness, diminished interest in activities, and physical symptoms that disrupt daily activities functioning. Emerging research indicates that nutrition and dietary habits can significantly influence the management of depression. This review aims to explore the connection between diet and mental health, highlighting how nutritional approaches may complement traditional treatments for depression. Objective: This review aims to evaluate the relationship …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Network Security and Risk Technologies
Abstract: This research work delves into the dynamic domain of network security risk, providing a comprehensive analysis of corruption of data. The study explores strategic models aimed at strengthening network defenses in response to the continually changing threat environment. In the past, network security has relied on various technologies to mitigate risks, which include Firewalls, Virtual Private Networks (VPNs) and Encryption Protocols. The research scrutinizes the role of technologies such as …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 26–34 Read article
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Hyper Personalization Using AI: Elevate Fitness
Abstract: In the modern era, many individuals find it challenging to prioritize their health and well-being due to busy lifestyles filled with work, academic, and personal obligations. Conventional fitness and nutrition programs often apply uniform strategies that overlook individual differences in body type, preferences, and goals. This lack of real-time feedback and contextual customization often leads to poor user engagement and unsatisfactory results over time. Elevate is a comprehensive, AI-powered fitness …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 10–21 Read article
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Futuristics of Renewable and Non-renewable Resources in Electricity Demand for Carbon-free Transportation with Electric Vehicles
Abstract: Greenhouse gases significantly impact the global environment, with carbon being the most substantial contributor. Transport accounts for nearly 22% of total global carbon emissions, prompting the urgent need for sustainable alternatives. Electric Vehicles (EVs) present a promising solution for mitigating transportation-related emissions. This study explores the transition from fossil-fuel-based transportation to EVs, examining ownership costs, global power demand, renewable energy integration, and trends in EV manufacturing and sales. A comparative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1408–1425 Read article
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Development of a Natural Fiber Sand–Carbon Composite Filter Using Agave sisalana for Sustainable Domestic Sewage Treatment
Abstract: This study presents an innovative approach to decentralized domestic sewage treatment by integrating Agave sisalana fibers as the core functional component within a composite filtration system. The filtration column was constructed using a vertical 1:3:1 layered configuration comprising silica sand (top), Agave sisalana fibers (middle), and activated carbon (bottom). Comprehensive experimental analyses were conducted to evaluate the system’s efficacy in removing key water quality parameters, including turbidity, total solids (TS), …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 43–51 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article