It has been said more than once in psychology that one person's effect is another person's error term. By minimising and occasionally ignoring individual and group variability cognitive psychology has yieled many fine achievements. However, when investigators are working with special populations, the subjects, and the unique nature of the sample, come into focus and become the goal in itself. For developmental psychologists, gerontologists and psychopathologists, research progresses with an eye on their target populations of study. Yet every good study in any of these domains inevitably has another dimension. Whenever a study is designed to turn a spotlight on a special population, the light is also shed on the mainstream from which the target deviates.This book examines what we can learn about general and universal phenomena in cognition and its brain substrates from examining the odd, the rare, the transient, the exceptional and the abnormal.

Why let other people explain the world to you? From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can better understand the world. It′s not about mindless number crunching or flashy techniques but about knowing when to use statistics as the best means to analyse a problem. Whether you want to answer: "Who is most likely to turn out and vote at the next election?" or "What accounts for some political conflicts escalating to war?" you’ll explore what can and can’t be done with statistics, and how to select the most appropriate statistical techniques and correctly interpret the results. Perhaps you simply want to understand enough to pass your statistics class and move on. Maybe you want to build your knowledge so that you are not excluded from research and debate. Or it could be the first step towards more advanced study. Whatever your goal, this book guides you through the journey, empowering you to confidently interact with statistics to make you a more formidable student, employee, and democratic citizen.

Space/Terrestrial Mobile Networks Internet Access and QoS Support covers the design of a Global Mobile Broadband System (GMBS) based on the results of the European Commission's Framework Programme 5 Information Society Technologies (IST) Project SUITED. Many of the latest concept in mobility solutions, network design techniques and internet technologies are presented. The SUITED project has addressed a number of technical issues that are very much state-of-the-art. The presentation of such material in the form of a design of a real network provides a unique source of information. This book: Addresses the important topic of heterogeneous networks and the underlying tecyhnologies Describes how to design an integrated satellite/terrestrial infrastructure where all the network components are fully merged together and integrated with the Internet Core network Presents the service scenarios and system requirements of the Global Mobile Broadband System (GMBS) Discusses the necessary QoS support and defines the novel admission control scheme Gauge & Gate Reservation with Independent Probing (GRIP) Covers mobility management including Mobile-IP support and a QoS Support Module (QASM) Describes the functional and network architectures and presents signalling protocols for mobility management in GMBS Presents the design of signalling protocols and their implementation using the Specification and Description Language (SDL) Space/Terrestrial Mobile Networks Internet Access and QoS Support has an accessible and practical approach to the subject and addresses in detail, the important topic of heterogeneous networks and the underlying technologies that make this concept possible.

The relevance of cognitive rehabilitation for people with dementia is becoming increasingly accepted by researchers and practitioners in the field. This special issue draws together examples of state-of-the-art research and systematic review by experts in this exciting and growing area. The contributors show how cognitive rehabilitation approaches can be applied, in different ways, to help optimise functioning and address specific difficulties across the full spectrum of severity. While the main focus is on the more commonly diagnosed forms of dementia, treatment possibilities for people with fronto-temporal dementia are also explored. Cognitive rehabilitation interventions need to be grounded in a clear assessment of the profile of strengths and limitations in cognitive functioning, and to demonstrate where possible that treatment effects extend beyond improvement on target measures to have a meaningful impact on wellbeing and quality of life. For this reason, the special issue includes contributions that explore detailed aspects of cognitive functioning or describe new developments in evaluating quality of life in dementia. Cognitive rehabilitation, it is suggested, should be viewed as one important component of a holistic approach to helping people with dementia, their families, and those who care for them. This special issue seeks both to provide information about what has already been achieved and to encourage and stimulate further progress.

This book analyzes the conditions under which leaders can use resolved statements to effectively coerce foreign adversaries.

Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.

This book focuses on corporate governance and proposes a novel framework for combining the Corporate Governance Framework (CGF) with current corporate finance issues arising in the Contemporary Business Environment (CBE) and cointegrating them with today's business needs. It consists of a good collection of state-of-the-art approaches that will be useful for new researchers and practitioners working in this field, helping them to quickly grasp the current state of corporate governance and corporate financial performance.Good corporate governance is not only important for companies, but also for the society. To begin with, good corporate governance strengthens the public's faith and trust in corporate governance. Legislative processes were developed to protect the society from known threats and prevent problems from occurring or recurring. Recent corporate scandals shed light on the impact that corporations have on social responsibility. The new focus on the corporate governance framework increases the responsibility and accountability of companies to their stakeholders and provides a solid framework for enhancing corporate performance.