Ruben Gonzalez — новинки

AME-COMI GIRLS is based on the best-selling product line from DC Collectibles that brings the distinct Japanese influence of anime and manga to DC Comics' female heroines and their foes.

In the new volume the Ame-Comi universe is suddenly under attack! As an intergalactic threat strikes Earth and beyond, can the heroines band together in time to save everyone?

Since the eighties, the political face of Mexico has been gradually changing. There has been a shift from the hegemony of the official Institutional Revolutionary Party to a more egalitarian distribution of power, in which the other two main parties (National Action Party and Democratic Revolution Party) have gained salience at national, state and local levels. Nonetheless, it is still not clear the impact of this reconfiguration on news organizations. Based upon a case study conducted in Morelia (the capital city of Michoacan), this research argues that, despite the arrival of diverse political parties to the national, state and local administrations, the relationship between reporters and high rank political authorities remains the same. That is, the exchange of favours – economic most of the times – still determines the way news organizations and politicians interact. In short, rather than change, continuity is the rule of the journalistic practice, at least in the provinces of Mexico.

Process Control System Fault Diagnosis: A Bayesian Approach Ruben T. Gonzalez, University of Alberta, Canada Fei Qi, Suncor Energy Inc., Canada Biao Huang, University of Alberta, Canada Data-driven Inferential Solutions for Control System Fault Diagnosis A typical modern process system consists of hundreds or even thousands of control loops, which are overwhelming for plant personnel to monitor. The main objectives of this book are to establish a new framework for control system fault diagnosis, to synthesize observations of different monitors with a prior knowledge, and to pinpoint possible abnormal sources on the basis of Bayesian theory. Process Control System Fault Diagnosis: A Bayesian Approach consolidates results developed by the authors, along with the fundamentals, and presents them in a systematic way. The book provides a comprehensive coverage of various Bayesian methods for control system fault diagnosis, along with a detailed tutorial. The book is useful for graduate students and researchers as a monograph and as a reference for state-of-the-art techniques in control system performance monitoring and fault diagnosis. Since several self-contained practical examples are included in the book, it also provides a place for practicing engineers to look for solutions to their daily monitoring and diagnosis problems. Key features: • A comprehensive coverage of Bayesian Inference for control system fault diagnosis. • Theory and applications are self-contained. • Provides detailed algorithms and sample Matlab codes. • Theory is illustrated through benchmark simulation examples, pilot-scale experiments and industrial application. Process Control System Fault Diagnosis: A Bayesian Approach is a comprehensive guide for graduate students, practicing engineers, and researchers who are interests in applying theory to practice.