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Handbook of Research on Financial Management During Economic Downturn and Recovery
Times of crisis are unexpected and they bring diverse challenges and opportunities for companies, financial markets, and the economy. On one hand, more risk and uncertainties appear, yet on the other hand, it is an opportunity to reorganize and reinvent the company. It is important for businesses to understand ways to deal with uncertainty and risk in times of economic downturn and what financial strategies and tools can be used to eliminate or reduce the potential negative effects. These effects can reach the company’s financial performance, capital structure, as well as cause financial debt and the availability of cash-flow to companies. However, different financial instruments can susta...
ITEI 2022
This volume contains the papers presented at the 2nd International Conference on Internet Technology and Educational Informatization (ITEI 2022), held during December 23th-25th, 2023 in Harbin, China. Today, the rapid development in Internet and education technology poses new challenges to scientists that requires innovative approach and methodology or eventually new educational theories. Internet technology is the prerequisite for educational informatization to be realized. The specific Conference topics include: Artificial Intelligence in Education; User Interfaces and Human Computer Interaction; Distance Education for Computers; Computer Application in Social and Behavioural Sciences; Ped...
Quantitative Methods in Economics and Finance
The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.
Artificial Intelligence in Acute Neurology
In recent years, the intersection of artificial intelligence (AI) and neurology has led to extraordinary advancements in the diagnosis, treatment, and management of acute neurological conditions. AI-driven technologies, such as machine learning algorithms and deep neural networks, have shown immense promise in transforming the landscape of acute care for patients facing neurological emergencies. This special issue aims to provide a comprehensive platform for researchers to showcase their cutting-edge work and explore the transformative potential of AI in acute neurology. The goal of this Research Topic is to shed light on the remarkable strides made in AI applications within acute neurology and emphasize their critical role in addressing existing gaps in patient care. As we move towards an era of personalized medicine, AI-based tools have the potential to revolutionize early detection, diagnosis, and treatment decision-making in acute neurological scenarios. By sharing your novel findings and perspectives, you will contribute to bridging the gap between AI research and clinical practice, fostering evidence-based approaches to improve patient outcomes.
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