Squarely aimed at leaders and aspiring leaders, The Heart of Leadership, written by two renowned management experts, presents practical examples and engaging insights to answer the key question of how to be a successful leader.This book reveals the key characteristics of a great leader and shows you how to develop the skills needed to motivate your team and overcome challenges. Leadership means successfully taking your place at the head of an enterprise and is both a shared journey and an adventure over the course of a career. Using an engaging and accessible style throughout, the book maps out how to achieve tangible results. It presents portrayals of some of history’s greatest leaders, from Gandhi to Steve Jobs, from Angela Merkel to Lisa Su, in order to inspire and help develop your own top leadership skills.This book is essential reading for CEOs, CFOs, HR managers, entrepreneurs, trainers, and those who are seeking a leadership position in an organization and want to understand how to succeed within it.
El 29 de Febrero de 1776 se firm en San Miguel de la Atalaya un tratado que en lo fundamental convino entre Francia y Espa a el trazado de una l nea fronteriza divisoria entre las colonias en que desde entonces quedaba fragmentada la isla y que eventualmente dar an lugar a los Estados actuales de la Rep blica de Hait y la Rep blica Dominicana. Todos los tratados subsiguientes; Aranjuez en 1777 y Basilea en 1795 conservaron el trazado fronterizo originalmente descrito y acordado por medio del Tratado de San Miguel de la Atalaya. Pocos conocen que el trazado fronterizo que divide a la Rep blica Dominicana y a la Rep blica de Hait se acord en el 1936, por medio de un protocolo oscuro que entreg cerca de un tercio de lo que es hoy el territorio de Hait . Las razones se desconocen. En este ensayo los autores desentra an detalles que podr an explicar, no solo la raz n de la entrega de los territorios de La Miel, sino tambi n posiblemente la masacre fronteriza del 1937.
Dancing between Zen and digital world, between poetry and physics, between Tao and computer science, the "Creativity bible" is the most complete book about creativity you will ever find on your library shelf. A revolutionary, fascinating volume that treasures three thousand years of human thinking to give you: - The most complete and masterful set of creative techniques to create new ideas, to challenge your social and mental restrictions and to learn how to make a true difference in any situation you'll have to face. - The work principles of the greatest geniuses, inventors, artists, thinkers and revolutionary innovators of history like Leonardo Da Vinci, Albert Einstein, Renee Descartes, Walt Disney, Thomas Alva Edison, Salvador Dali and many others. - A complete study of the alchemy behind the greatest technological revolutions of the last one hundred years, like the personal computer, the electronic fund transfer and the iPad - ...and much, much more!
In questo toccante e denso omaggio, Danilo Sergio Pirro ricostruisce il profilo intellettuale e umano del padre, il filosofo e storico Vincenzo Pirro, attraverso una riflessione a pi livelli sulla sua opera, sul suo pensiero e sul suo insegnamento. Il libro al tempo stesso un ricordo biografico, un atto di amore filiale, e un'esplorazione filosofico-culturale che mette in luce l'eredit di un pensatore impegnato nella battaglia per la verit storica e la coscienza critica.Attraverso un'attenta selezione di scritti, lettere, discorsi e appunti, Danilo Pirro d voce al pensiero del padre, restituendo un'immagine vibrante di un uomo che ha fatto della cultura un impegno civile e della filosofia una via per interrogare il mondo. Ne emerge il ritratto di un maestro rigoroso, capace di coniugare storia e coscienza, ricerca e passione, fede e razionalit .Dal Risorgimento alla guerra civile italiana, dalla critica della memoria selettiva al ruolo della religione nella storia, il testo si snoda come un percorso in cui la vita stessa viene intesa come esercizio spirituale, dialogo con l'altro, tensione etica e amorosa verso la verit . Un libro che , infine, un lascito: l'ultima lezione di Vincenzo Pirro.Il presente testo tratto dal libro"La vita come Ricerca, la vita come Arte e La vita come Amore", pubblicato in occasione dell'inaugurazione della sala "Vincenzo Pirro" a Palazzo Carrara a Terni (12 Marzo 2016). In esso sono contenuti brani e citazioni di Vincenzo Pirro e l'ultimo discorso che tenne in occasione della presentazione degli atti del convegno su "San Valentino patrono di Terni" il 21 Aprile 2009.
The current availability of powerful computers and huge data sets is creating new opportunities in computational mathematics to bring together concepts and tools from graph theory, machine learning and signal processing, creating Data Analytics on Graphs.In discrete mathematics, a graph is merely a collection of points (nodes) and lines connecting some or all of them. The power of such graphs lies in the fact that the nodes can represent entities as diverse as the users of social networks or financial market data, and that these can be transformed into signals which can be analyzed using data analytics tools. Data Analytics on Graphs is a comprehensive introduction to generating advanced data analytics on graphs that allows us to move beyond the standard regular sampling in time and space to facilitate modelling in many important areas, including communication networks, computer science, linguistics, social sciences, biology, physics, chemistry, transport, town planning, financial systems, personal health and many others. The authors revisit graph topologies from a modern data analytics point of view, and proceed to establish a taxonomy of graph networks. With this as a basis, the authors show how the spectral analysis of graphs leads to even the most challenging machine learning tasks, such as clustering, being performed in an intuitive and physically meaningful way. The authors detail unique aspects of graph data analytics, such as their benefits for processing data acquired on irregular domains, their ability to finely-tune statistical learning procedures through local information processing, the concepts of random signals on graphs and graph shifts, learning of graph topology from data observed on graphs, and confluence with deep neural networks, multi-way tensor networks and Big Data. Extensive examples are included to render the concepts more concrete and to facilitate a greater understanding of the underlying principles.Aimed at readers with a good grasp of the fundamentals of data analytics, this book sets out the fundamentals of graph theory and the emerging mathematical techniques for the analysis of a wide range of data acquired on graph environments. Data Analytics on Graphs will be a useful friend and a helpful companion to all involved in data gathering and analysis irrespective of area of application.
Can the Internet regulate itself? Faced with a range of 'harms' and conflicts associated with the new media – from gambling to pornography – many governments have resisted the temptation to regulate, opting instead to encourage media providers to develop codes of conduct and technical measures to regulate themselves. Codifying Cyberspace looks at media self-regulation in practice, in a variety of countries. It also examines the problems of balancing private censorship against fundamental rights to freedom of expression and privacy for media users. This book is the first full-scale study of self-regulation and codes of conduct in these fast-moving new media sectors and is the result of a three-year Oxford University study funded by the European Commission.
Can the Internet regulate itself? Faced with a range of 'harms' and conflicts associated with the new media – from gambling to pornography – many governments have resisted the temptation to regulate, opting instead to encourage media providers to develop codes of conduct and technical measures to regulate themselves. Codifying Cyberspace looks at media self-regulation in practice, in a variety of countries. It also examines the problems of balancing private censorship against fundamental rights to freedom of expression and privacy for media users. This book is the first full-scale study of self-regulation and codes of conduct in these fast-moving new media sectors and is the result of a three-year Oxford University study funded by the European Commission.
This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution approach. The authors identify the risk classes by applying a pooling rule based on statistical tests of goodness-of-fit, use the theory of the mixture of distributions to analyze the loss severities, and apply copula functions for risk class aggregation. Lastly, they assess operational risk data in order to estimate the so-called capital-at-risk that represents the minimum capital requirement that a bank has to hold. The book is primarily intended for quantitative analysts and risk managers, but also appeals to graduate students and researchers interested in bank risks.
Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal is present in the data under test, conventional algorithms may suffer severe performance degradation. The presence of strong interferers in the cell under test makes the detection task even more challenging. An effective way to cope with this scenario relies on the use of "tunable" detectors, i.e., detectors capable of changing their directivity through the tuning of proper parameters. The aim of this book is to present some recent advances in the design of tunable detectors and the focus is on the so-called two-stage detectors, i.e., adaptive algorithms obtained cascading two detectors with opposite behaviors. We derive exact closed-form expressions for the resulting probability of false alarm and the probability of detection for both matched and mismatched signals embedded in homogeneous Gaussian noise. It turns out that such solutions guarantee a wide operational range in terms of tunability while retaining, at the same time, an overall performance in presence of matched signals commensurate with Kelly's detector. Table of Contents: Introduction / Adaptive Radar Detection of Targets / Adaptive Detection Schemes for Mismatched Signals / Enhanced Adaptive Sidelobe Blanking Algorithms / Conclusions
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.
This book illustrates the importance of bonds as a funding tool available to banks. After providing the reader with an overview of the funding strategies adopted during the last ten years by European banks, the book offers a deep focus on the Italian banking industry. Notably, the authors illustrate how bonds have been a primary funding choice for Italian banks, as well as a preponderant asset in Italian households’ portfolios. Furthermore, they highlight the consequences of the adoption of the Bank Recovery and Resolution Directive (BRRD) on the yields offered by bonds of Italian banks. Finally, they conclude the volume with the illustration of very recent case studies about the application of the BRRD to some problematic banks in Italy and the related side effects generated to bank bondholders. All the analyses presented in the book are supported by the use of quantitative data.
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.
Esta pesquisa nasceu com o desejo de investigar a configura o da pr tica pedag gica de professores dos anos iniciais no Ensino Fundamental no contexto da Lei n 11.769/2008 a qual orienta a M sica como conte do obrigat rio nas escolas da Educa o B sica, foram adotados procedimentos que puderam identificar a presen a da m sica na escola no sentido de conhecer as possibilidades e limites desse ensino nos anos iniciais, bem como as reais a es propostas pela Secretaria Municipal de Educa o no que tange ao processo de implementa o da Lei 11.769/08. O referencial metodol gico adotado foi na perspectiva da metodologia de investiga o quanti-qualitativa, contou com quatorze professores que atuam efetivamente em duas Institui es de Ensino da rede municipal e cento e trinta e dois alunos regularmente matriculados nas referidas Escolas. Para a coleta de dados utilizou-se a entrevista semi-estruturada a qual propiciou captar o sentido, a interpreta o e as concep es que estes sujeitos d o ao tema proposto bem como consultas bibliogr ficas e leitura espec fica sobre as bases legais que regem o Ensino Fundamental no Brasil e pol ticas p blicas que envolvem a inser o da m sica na escola.
