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Weathering Tomorrow: Climate Analogues and Adaptation Gaps in Europe
The European continent is warming at more than twice the global average. The human and economic costs of higher temperature and more frequent and extreme natural disasters—already substantial in Europe—are expected to increase further unless suitable adaptation strategies are implemented. This paper shows that while Europe's overall vulnerability to climate risks is lower than other regions’, the countries in Central and Eastern Europe face greater human and economic costs from climate disasters compared to their advanced European peers, which are likely to further increase in the future. We use an ensemble of climate models to project future climates for each country in Europe, and id...
Corruption and Economic Growth in Moldova
This paper examines corruption in Moldova, analyzing its impact on economic growth and progress in implementing earlier IMF recommendations on anti-corruption and anti-money laundering (AML). Despite solid legal frameworks, corruption remains a significant challenge, impeding growth and EU convergence. Drawing from regional successes, the paper stresses the importance of specialized anti-corruption agencies, robust prosecution, civil society involvement, and international expertise. Moldova has made strides in strengthening its legal and institutional infrastructure, but challenges like delayed corruption case adjudication persist. Recommendations include enhancing the Anti-corruption Prosecution Office's investigative capacity and establishing specialized adjudication infrastructure.
Republic of Moldova
Moldova’s economic recovery from the multiple shocks is proceeding, albeit at a slower pace than expected. Progress towards EU accession continues. Presidential elections are scheduled in October, to be combined with a referendum on EU accession.
Artificial Intelligence
This two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.
Addicted to Loving You: The Paranoid and Domineering Boss's Convicted Wife
Ling Yiran had been sentenced to three years in prison due to the car accident that killed the fiancée of Yi Jinli, the richest man in Shen City. When released from prison, she somehow ended up catching the attention of Yi Jinli. She kneeled on the ground and begged him, "Yi Jinli, can you let me go?" But he only smiled and said, "Sister, I will never let you go." It was said that Yi Jinli was completely indifferent to anyone and everyone, but for some reason, he did everything he could to please a sanitation worker girl who had been in prison for the past three years. However, the truth of the car accident that year had robbed her of all her love for him, and she ran away. Many years later, he begged her while on the ground, "Yiran, as long as you return by my side, I will do anything for you." But she only stared at him coldly and said, "Then, go die."
Chinese Music in Print
Grounded in a desire to bring back to life rare items from the University of Hong Kong’s Fung Ping Shan Library that are entwined within the world of music and to place them in a context of books and images in American, British, and other Asian collections, Chinese Music in Print views the library as a repository not of information but of artifact, and then uses these artifacts as a means for generating scholarly narrative. It begins by assessing seminal texts in the Confucian canon set against the delicacy of the concubine and amanuensis Shen Cai’s calligraphy and poetry. Confucianism was itself a crucial aspect of courtly life, and an exploration of its ritual is the book’s second th...
Low-Power Computer Vision
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
Making the Political
Democratic political theory often sees collective action as the basis for non-coercive social change, assuming that its terms and practices are always self-evident and accessible. But what if we find ourselves in situations where collective action is not immediately available, or even widely intelligible? This book examines one of the most intellectually substantive and influential Chinese thinkers of the early twentieth century, Zhang Shizhao (1881–1973), who insisted that it is individuals who must 'make the political' before social movements or self-aware political communities have materialized. Zhang draws from British liberalism, democratic theory, and late-Imperial Confucianism to formulate new roles for effective individual action on personal, social, and institutional registers. In the process, he offers a vision of community that turns not on spontaneous consent or convergence on a shared goal, but on ongoing acts of exemplariness that inaugurate new, unpredictable contexts for effective personal action.
