Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the successful use of higher-order descriptors in specific applications and a glimpse of the next generation of diffusion MRI. To do so, it combines contributions on new developments, current challenges in this area and state-of-the-art surveys. Compared to the increasing importance of higher-order descriptors in a range of applications, tools for analysis and processing are still relatively hard to come by. Even though application areas such as medical imaging, fluid dynamics and structural mechanics are very different in nature they face many shared challenges. This book provides an interdisciplinary perspective on this topic with contributions from key researchers in disciplines ranging from visualization and image processing to applications. It is based on the 5th Dagstuhl seminar on Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. This book will appeal to scientists who are working to develop new analysis methods in the areas of image processing and visualization, as well as those who work with applications that generate higher-order data or could benefit from higher-order models and are searching for novel analytical tools.

This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI 13) and Mathematical Methods from Brain Connectivity (MMBC 13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.

Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

"

What should we call law when it is not the law of one or several states? Does it actually matter what we call law? How can we take into account the consequences of calling something law when we shape the concept of law in the first place? How does international arbitration help to illustrate the problem?
This book is an investigation into stateless law, illustrated by international arbitration regimes. It addresses key philosophical questions posed by international arbitration as a potential path to law beyond the state. It ascertains which dimensions of transnational legality arbitral regimes conform to, and what consequences follow from it.
The argument of this book is firmly rooted in contemporary legal positivism and is attentive to current debates regarding the rule of law to ponder legality without territory. A theory is suggested regarding the minimal conditions that transnational regimes must fulfil in order to legitimately and appropriately count as law. The theory is tested on various arbitral regimes. The book thus offers reflections on the extent to which legality and the rule of law can serve as a moral and political benchmark for transnational regimes, to assess the political morality of arbitration's current autonomy from states and what arbitration's claim for an increase in that autonomy implies.

This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.

This open access book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain. The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas. This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28-November 2, 2018.

Maurice Sykes has made advocating for and advancing high-quality early childhood education his life's work. Through mentorships, presentations, and personal example, Maurice challenges and inspires educators to become effective leaders who make a difference in children's lives. He does the same in this book as he shares stories of the hills and valleys of his personal and professional journeys throughout the presentation of eight core leadership values: human potential, knowledge, social justice, competence, fun and enjoyment, personal renewal, perseverance, and courage.
Use this book to develop the skills, knowledge, and habits of mind you need to be a successful leader--and do the right thing for children, whether you serve at the individual, organizational, or classroom level.

Maurice Sykes directs the Early Childhood Leadership Institute at the University of the District of Columbia's National Center for Urban Education.

This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI'13) and Mathematical Methods from Brain Connectivity (MMBC'13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013. Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling. This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the successful use of higher-order descriptors in specific applications and a glimpse of the next generation of diffusion MRI. To do so, it combines contributions on new developments, current challenges in this area and state-of-the-art surveys. Compared to the increasing importance of higher-order descriptors in a range of applications, tools for analysis and processing are still relatively hard to come by. Even though application areas such as medical imaging, fluid dynamics and structural mechanics are very different in nature they face many shared challenges. This book provides an interdisciplinary perspective on this topic with contributions from key researchers in disciplines ranging from visualization and image processing to applications. It is based on the 5th Dagstuhl seminar on Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. This book will appeal to scientists who are working to develop new analysis methods in the areas of image processing and visualization, as well as those who work with applications that generate higher-order data or could benefit from higher-order models and are searching for novel analytical tools.

Very Short Introductions: Brilliant, Sharp, Inspiring Arbitration is a legal dispute resolution mechanism, alternative to courts. It provides binding decisions, enforceable around the world. It is where parties take their disputes when they have agreed that courts, for one reason or another, do not suit them - which happens more often than one might think. Some of the most politically sensitive disputes on the largest scale go to arbitration. Countries which need to settle their boundaries in areas of the oceans rich in oil, gas and other resources sometimes arbitrate, and much of the war in Sudan was eventually tied up with an arbitration. Investors who have staked billions of dollars in unstable developing countries rely on arbitration clauses to protect their investments. But also much smaller, everyday cases are routinely dealt with by arbitration - millions of consumers, whether they know it or not, enter into arbitration contracts when they conclude routine transactions. Even athletes get involved in arbitration cases of great notoriety, for instance when these relate to doping offences during the Olympic Games. This Very Short Introduction explains what arbitration is, how it works, what parties who have agreed to go to arbitration should expect, the relationship between arbitration and the law, and the politics of arbitration. It also considers where the global system of arbitration is headed. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

This Handbook brings together many of the key scholars and leading practitioners in international arbitration, to present and examine cutting-edge knowledge in the field. Innovative in its breadth of coverage, chapter-topics range from the practicalities of how arbitration works, to big picture discussions of the actors involved and the values that underpin it. The book includes critical analysis of some of international arbitrations most controversial aspects, whilst providing a nuanced account overall that allows readers to draw their own informed conclusions. The book is divided into six parts, after an introduction discussing the formation of knowledge in the field. Part I provides an overview of the key legal notions needed to understand how international arbitration technically works, such as the relation between arbitration and law, the power of arbitral tribunals to make decisions, the appointment of arbitrators, and the role of public policy. Part II focuses on key actors in international arbitration, such as arbitrators, parties choosing arbitrators, and civil society. Part III examines the central values at stake in the field, including efficiency, legal certainty, and constitutional ideals. Part IV discusses intellectual paradigms structuring the thinking in and about international arbitration, such as the idea of autonomous transnational legal orders and conflicts of law. Part V presents the empirical evidence we currently have about the operations and effects of both commercial and investment arbitration. Finally, Part VI provides different disciplinary perspectives on international arbitration, including historical, sociological, literary, economic, and psychological accounts.