Найти книгу: "The Judicial Process"

The Judicial Process: Law, Courts, and Judicial Politics is an all-new, concise yet comprehensive core text that introduces students to the nature and significance of the judicial process in the United States and across the globe. It is social scientific in its approach, situating the role of the courts and their impact on public policy within a strong foundation in legal theory, or political jurisprudence, as well as legal scholarship. Authors Christopher P. Banks and David M. O’Brien do not shy away from the politics of the judicial process, and offer unique insight into cutting-edge and highly relevant issues. In its distinctive boxes, “Contemporary Controversies over Courts” and “In Comparative Perspective,” the text examines topics such as the dispute pyramid, the law and morality of same-sex marriages, the “hardball politics” of judicial selection, plea bargaining trends, the right to counsel and “pay as you go” justice, judicial decisions limiting the availability of class actions, constitutional courts in Europe, the judicial role in creating major social change, and the role lawyers, juries and alternative dispute resolution techniques play in the U.S. and throughout the world. Photos, cartoons, charts, and graphs are used throughout the text to facilitate student learning and highlight key aspects of the judicial process.

Полный вариант заголовка: «Anweisung zu Criminalprocessen bei Civil– und Militargerichten / von G. W. C. Caban».

Учебное пособие предназначено для обучения магистров по направлению «Химическая технология» и его содержание соответствует ФГОС 3-го поколения для дисциплины «Процессы массопереноса в системах с участием твердой фазы». Изложенный в учебном пособии материал позволяет студентам восполнить и систематизировать знания по теории массообменных процессов, знакомит со спецификой массопереноса в системах с участием твердой фазы, а также с такими процессами, как адсорбция, ионный обмен, кристаллизация, растворение, мембранное разделение, конструкциями соответствующих аппаратов и методами их расчетов.

The training system is implemented with the use of the fuzzy classifier that represents fuzzy knowledge base, the input of which receives signals about current state of the traction rolling stock and of the environment. The results of the work allow implementing intelligent DSS in modern locomotives. This will enhance the level of safety and efficiency of driving a train.