The Fiscal Institutions of Tomorrow, the first publication in the series Institutions for People, addresses issues of public management that are key to economic development in Latin America and the Caribbean. It presents the challenges that the countries in the region face to strengthen fiscal institutions with a view to the future and with policy recommendations. This publication serves as reference material for policymakers and economic analysts interested in studying the evolution of fiscal institutions in the region and identifying areas to improve governance.
This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and help to have an improvement in diagnosis accuracy considering a clinical monitoring of 24 hours or more of the patient. In this book, tests were made with different architectures proposed in the different modules of the proposed model. First, it was possible to obtain the architecture of the fuzzy classifiers for the level of blood pressure and for the pressure load, and these were optimized with the different bio-inspired algorithms (Genetic Algorithm and Chicken Swarm Optimization). Secondly, we tested with a local database of 300 patients and good results were obtained. It is worth mentioning that this book is an important part of the proposed general model; for this reason, we consider that these modules have a good performance in a particular way, but it is advisable to perform more tests once the general model is completed.
This is a serious compilation of many cases of pilot sightings detailing unusual aerial phenomena in the Mexican skies. The study covers over fifty years of incidents, many with radar confirmation and quotes from the pilots themselves. The volume is written in a clear, sober style that gives priority to the witnesses, with little editorial commentary from the authors themselves." -- Jacques Vallee, scientist and pioneering ufologist "The authors have captured something of the excitement that comes from researching pilot and air traffic controller sightings of unusually strange aerial phenomena. And they have collected and analyzed over fifty years of encounters with unidentified aerial phenomena in Mexico's airspace." -- Dr. Richard F. Haines, Chief Scientist, National Aviation Reporting Center on Anomalous Phenomena (NARCAP) Authors Carlos Guzman and Alfonso Salazar are two of Mexico's most experienced and highly-regarded UFO researchers. For decades, they have quietly conducted exhaustive research into their country's most remarkable UFO cases, especially encounters involving aviation. The authors have appeared in major UFO-related documentaries on the History Channel, Discovery Channel, Infinito, and other media outlets. They have also spoken about UFOs on numerous radio programs, as well as at many conferences. Guzman and Salazar's book "Ovnis y la Aviacion Mexicana," of which this is the revised, updated English translation, is considered a classic work in UFO research literature and has received unbounded praise from the UFO research community throughout the world.
Mechanical Vibrations and Condition Monitoring presents a collection of data and insights on the study of mechanical vibrations for the predictive maintenance of machinery. Seven chapters cover the foundations of mechanical vibrations, spectrum analysis, instruments, causes and effects of vibration, alignment and balancing methods, practical cases, and guidelines for the implementation of a predictive maintenance program. Readers will be able to use the book to make predictive maintenance decisions based on vibration analysis. This title will be useful to senior engineers and technicians looking for practical solutions to predictive maintenance problems. However, the book will also be useful to technicians looking to ground maintenance observations and decisions in the vibratory behavior of machine components. Presents data and insights into mechanical vibrations in condition monitoring and the predictive maintenance of industrial machinery Defines the key concepts related to mechanical vibration and its application for predicting mechanical failure Describes the dynamic behavior of most important mechanical components found in industrial machinery Explains fundamental concepts such as signal analysis and the Fourier transform necessary to understand mechanical vibration Provides analysis of most sources of failure in mechanical systems, affording an introduction to more complex signal analysis
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