Using the 2010, 2015, and 2020/2021 datasets of the IMF’s Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central bank legislation. Our findings highlight that: (i) a simple Naïve Bayes algorithm can link CBLD search categories with a significant and increasing level of accuracy to specific articles and phrases in articles in laws (i.e., predict search classification); (ii) specific patterns or themes emerge across central bank legislation (most notably, on central bank governance, central bank policy and operations, and central bank stakeholders and transparency); and (iii) other AI/ML approaches yield interesting results, meriting further research.
Translated from the Japanese, this title is the first modern book on magnetics, a topic of increasing importance. The book provides the foundation for further development in this field, covering magnetic ions in crystals, and magnetism of spin systems, metals and dilute alloys.
Sports Day comes to Shin Kanata High School! Himeno's centaur body offers both advantages and challenges, but Himeno is determined to succeed...even if it means wearing a boy's uniform! The other students show off their own abilities as well. Meanwhile, the Tutulitele Universal Alliance Central Committee takes up a petition from the Meameateles for political rights--a move that could dramatically transform this entire society.
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