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This book provides a selection of international perspectives in the interdisciplinary field of media and communications research with emphasis placed on methodological approaches and new research domains. It includes critical reflections on how to conduct research on digital media culture, especially concerning the potentials and limitations for mixed methods research and online research strategies, as well as a series of hands-on case studies. These range from digital fan cultures, through environmental communication, news media, digital politics during conflicts and crises, to digital media psychology and the emerging field of medical humanities. Diverse in its examples and angles, the book provides a rich snippet of how media research practices are determined by practical factors and research interests.
The Migration Conference 2017 hosted by Harokopio University, Athens from 23 to 26 August. The 5th conference in our series, the 2017 Conference was probably the largest scholarly gathering on migration with a global scope. Human mobility, border management, integration and security, diversity and minorities as well as spatial patterns, identity and economic implications have dominated the public agenda and gave an extra impetus for the study of movers and non-movers over the last decade or so. Throughout the program of the Migration Conference you will find various key thematic areas are covered in about 400 presentations by about 400 colleagues coming from all around the world from Australia to Canada, China to Mexico, South Africa to Finland. We are also proud to bring you opportunities to meet with some of the leading scholars in the field. Our line of keynote speakers include Saskia Sassen, Oded Stark, Giuseppe Sciortino, Neli Esipova, and Yüksel Pazarkaya.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain...
This text provides nurses studying leadership theory with insight and guidance in motivating and leading staff. The concepts of transformational leadership are explored to direct the nurse leader in increasing productivity and retention of staff.
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
Although uncommon, the occurrence of cataracts in very young patients can result in significant impairment—and can lead to blindness. This practical guide delivers need-to-know information to help clinicians treat pediatric patients with cataracts with a range of therapies and essential guidance on the management of complications. Explore the only reference devoted exclusively to pediatric cataract management! • 13 new chapters highlight the latest advances in bilateral cataract surgery, intraocular heparin treatment, treatment of traumatic cataracts, pre- and postoperative management, and techniques appropriate for patients in developing nations. • 4 hours of online procedural video accompany the text—giving readers a clinician’s view of essential procedures. A great way to refine technique, improve outcomes, avoid pitfalls, and manage potential complications. • Quick-reference format helps readers locate vital information at a glance.
The Turkish Migration Conference 2016 is the fourth event in this series, we are proud to organise and host at the University of Vienna, Austria. Perhaps given the growing number of participants and variety in scope of research and debates included at the Conference, it is now an established quality venue fostering scholarship in Turkish Migration Studies. Over the last five years, we have seen over 1000 abstracts submitted to the conference and year on year the number of accepted presentations grew. This year, the conference accommodates over 350 presentations by hundreds of academics from all around the World. The Migration Conference attracting such a healthy number of academics is a good indicator of the success and means the conference serving its purpose and offer a good opportunity for scholarly exchange and networking. Main speakers include Jeffrey Cohen, Ibrahim Sirkeci, Philip Martin, Gudrun Biffl, Karen Phalet, Samim Akgönül, and Katharine Sarikakis.
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data....
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.