The Multilateralism Of The New Development Bank On The Sustainable Economic Growth In Brics Nations And Beyond
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The Multilateralism of the New Development Bank on the Sustainable Economic Growth in BRICS Nations and Beyond
Author: Ndivhuho Tshikovhi
language: en
Publisher: Emerald Group Publishing
Release Date: 2025-03-05
Suitable for bankers, development analysts, policymakers, NGOs and students, this book offers crucial insights into the evolving landscape of global development finance.
Implications, Prospects, and Challenges in China’s Global South Strategy
China’s Global South strategy emerges as a critical aspect of foreign policy, deepening ties with developing nations across Asia, Africa, Latin America, and the Middle East. This strategic engagement carries significant geopolitical and economic implications, even as China positions itself as an alternative to Western-led governance. Through initiatives like infrastructure investments, trade partnerships, and digital diplomacy, China seeks to expand its influence and secure access to markets and resources critical to its long-term growth. However, the approach is not without challenges. Rising debt concerns, local resistance to Chinese investments, and geopolitical pushback present obstacles to China's ambitions. Navigating the diverse political, economic, and cultural landscapes of Global South nations requires nuanced diplomacy and sustainable engagement models. Strategic success may depend on China's ability to adapt its approach to meet its strategic goals and partner nation’s expectations. Implications, Prospects, and Challenges in China’s Global South Strategy explores China's Global South policy in a globalized world. It examines the complexities of modern international relations, and various strategies to enhance global strategies and influence. This book covers topics such as policymaking, postcolonialism, and geopolitics, and is a useful resource for policymakers, government officials, politicians, business owners, economists, academicians, researchers, and scientists.
AI Model Design and Data Management for Disease Prediction
Author: Muniasamy, Anandhavalli
language: en
Publisher: IGI Global
Release Date: 2025-07-09
The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.