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Understanding the Brain Function and Emotions
The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions.
From Bioinspired Systems and Biomedical Applications to Machine Learning
The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions.
"We Are Now the True Spaniards"
This book is a radical reinterpretation of the process that led to Mexican independence in 1821—one that emphasizes Mexico's continuity with Spanish political culture. During its final decades under Spanish rule, New Spain was the most populous, richest, and most developed part of the worldwide Spanish Monarchy, and most novohispanos (people of New Spain) believed that their religious, social, economic, and political ties to the Monarchy made union preferable to separation. Neither the American nor the French Revolution convinced the novohispanos to sever ties with the Spanish Monarchy; nor did the Hidalgo Revolt of September 1810 and subsequent insurgencies cause Mexican independence. It was Napoleon's invasion of Spain in 1808 that led to the Hispanic Constitution of 1812. When the government in Spain rejected those new constituted arrangements, Mexico declared independence. The Mexican Constitution of 1824 affirms both the new state's independence and its continuance of Spanish political culture.
Green Finance and Investment Leveraging De-Risking Instruments and International Co-ordination to Catalyse Investment in Clean Hydrogen
Clean hydrogen is a nascent technology that could play an essential role to achieve net-zero emissions. However, less than 10% of announced clean hydrogen projects worldwide have reached final investment decision, as equity and debt investors often consider these projects to be too risky. This report provides a better understanding of the risk mitigation strategies to unlock and mobilise private capital for clean hydrogen in emerging markets. It highlights how de-risking instruments can address key barriers faced by investors in clean hydrogen projects and suggests ways to allocate risks among actors. The report also proposes actions to enhance international co-ordination for scaling clean hydrogen financing for development. Furthermore, it draws lessons from case studies showcasing how lighthouse clean hydrogen projects and available economic, de-risking and financing instruments are being implemented in a wide array of countries.
Decision Making under Uncertainty
Most decisions in life are based on incomplete information and have uncertain consequences. To successfully cope with real-life situations, the nervous system has to estimate, represent and eventually resolve uncertainty at various levels. A common tradeoff in such decisions involves those between the magnitude of the expected rewards and the uncertainty of obtaining the rewards. For instance, a decision maker may choose to forgo the high expected rewards of investing in the stock market and settle instead for the lower expected reward and much less uncertainty of a savings account. Little is known about how different forms of uncertainty, such as risk or ambiguity, are processed and learned about and how they are integrated with expected rewards and individual preferences throughout the decision making process. With this Research Topic we aim to provide a deeper and more detailed understanding of the processes behind decision making under uncertainty.
Indigenous Citizens
Indigenous Citizens challenges the commonly held assumption that early nineteenth-century Mexican state-building was a failure of liberalism. By comparing the experiences of two Mexican states, Oaxaca and Yucatán, Caplan shows how the institutions and ideas associated with liberalism became deeply entrenched in Mexico's regions, but only on locally acceptable terms. Faced with the common challenge of incorporating new institutions into political life, Mexicans—be they indigenous villagers, government officials, or local elites—negotiated ways to make those institutions compatible with a range of local interests. Although Oaxaca and Yucatán both had large indigenous majorities, the loca...
Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
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