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10 articles for “World Health Federation”
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Coronary Vascular Disease: A General Review with Specific Reference to Etiology
Abstract: Cardiovascular disease (CVD), the foremost cause of mortality worldwide, has surged by 60% globally, reaching 20.5 million deaths in 2021 from 12.1 million in 1990, as per the latest report from the World Health Federation. While this increase is alarming on a global scale, it raises even greater concerns in countries like India where heart ailments are afflicting individuals at a younger age. The escalation of CVD among the younger …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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Heavy Metal Assessment of Rainwater from Owerri Metropolis and Suburbs of Imo State, Nigeria Using GIS, MATLAB and ANN Models.
Abstract: Three hundred and fifty (350) rainwater samples were collected from 35 select locations within Owerri Metropolis, Ehime Mbano and Mbaitoli LGAs and analyzed for Cd, Cu, Fe, Zn, and Pb using standard instrumental methods. The results were compared with the World Health Organization (WHO), National Ambient Air Quality Standards (NAAQS), Federal Environmental Protection Agency (FEPA) and National Agency for Food and Drug Administration and Control (NAFDAC) Standards for drinking water …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 38–57 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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The Nursing Perspective: Emerging Competencies in Midwifery and Neonatal Care
Abstract: A skilled attendant is a qualified healthcare practitioner, such as a midwife, doctor, or nurse, who has received appropriate education and training to effectively handle uncomplicated pregnancies, childbirth, and the immediate postnatal period. They are equipped to identify, manage, and refer any complications that may arise in women and newborns. Skilled attendants have the necessary knowledge and skills to manage normal pregnancies and childbirth, and their presence during delivery is …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Leveraging Information Technologies (IoT, Sensor Technologies, AI, and Data Analytics) in Healthcare and Agriculture
Abstract: This paper explores the powerful convergence of digital technologies — the Internet of Things (IoT), Sensor Technologies, Artificial Intelligence (AI), and Data Analytics — in transforming healthcare and agriculture. Both sectors face pressing global challenges: rising population demands, environmental stress, disease burdens, unequal access to services, and food insecurity. Conventional systems alone cannot meet future needs. However, technology-driven, real-time data-driven systems offer innovative solutions: from automating diagnostics to forecasting pest …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 20–28 Read article
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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Regulations and Standards in the Dairy Industry
Abstract: The dairy industry is a vital component of the global food system, providing essential nutrients to millions of people worldwide. This article offers a comprehensive overview of the regulatory landscape governing dairy products, focusing on quality standards, labeling requirements, and international trade regulations. Quality standards, established by key organizations such as Codex Alimentarius and the International Dairy Federation, ensure that dairy products meet specific criteria for fat and protein content, …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 13–17 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article