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F# 4.0 Design Patterns
Learn how to apply functional F# design patterns to a huge range of programming challenges, and discover a smart route to building better applications About This Book This book provides a path if you are coming from imperative and object-oriented paradigms It will take you to an intermediate level of functional programming in very practical manner to write enterprise-quality idiomatic F# code Tackle complex computing problems with simple code by fully embracing the functional-first F# paradigm Packed full of practical coding examples to help you master F# programming and author optimal code Who This Book Is For This book is for .NET developers, web programmers, C# developers, and F# develope...
Designing Applications with MSMQ
As a comprehensive resource focusing on the basics of distributed transactional objects for components, this book addresses the needs of both Window and UNIX developers.
Tumor Models in Cancer Research
Beverly A. Teicher and a panel of leading experts comprehensively describe for the first time in many years the state-of-the-art in animal tumor model research. The wide array of models detailed form the basis for the selection of compounds and treatments that go into clinical testing of patients, and include syngeneic models, human tumor xenograft models, orthotopic models, metastatic models, transgenic models, and gene knockout models. Synthesizing many years experience with all the major in vivo models currently available for the study of malignant disease, Tumor Models in Cancer Research provides preclinical and clinical cancer researchers alike with a comprehensive guide to the selection of these models, their effective use, and the optimal interpretation of their results.
Programming F# 3.0
Why learn F#? With this guide, you’ll learn how this multi-paradigm language not only offers you an enormous productivity boost through functional programming, but also lets you develop applications using your existing object-oriented and imperative programming skills. You’ll quickly discover the many advantages of the language, including access to all the great tools and libraries of the .NET platform. Reap the benefits of functional programming for your next project, whether you’re writing concurrent code, or building data- or math-intensive applications. With this comprehensive book, former F# team member Chris Smith gives you a head start on the fundamentals and walks you through a...
Intracranial EEG
This book offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more expe...
Differential Equations
This graduate-level introduction to ordinary differential equations combines both qualitative and numerical analysis of solutions, in line with Poincaré's vision for the field over a century ago. Taking into account the remarkable development of dynamical systems since then, the authors present the core topics that every young mathematician of our time—pure and applied alike—ought to learn. The book features a dynamical perspective that drives the motivating questions, the style of exposition, and the arguments and proof techniques. The text is organized in six cycles. The first cycle deals with the foundational questions of existence and uniqueness of solutions. The second introduces t...
Renal Transplantation: Sense and Sensitization
In 1986, the Committee of Experts on Blood Transfusion and Immunohae- tology of the Council of Europe chose for their Programme of Co-ordinated Research "An investigation of the procurement and sharing of transplantable organs for potential recipients who are highly sensitized to HLA-antigens". This topic was of common concern to all centres practising renal transplan- tion. The terms of reference of the study were: To estimate the number of patients who are virtually "untransplantable" because of high sensitization in each European country. To study the nature of immunization in terms of the type and specificity of antibodies present in the blood and techniques used for their detection. To ...
Innovation and Resource Management Strategies for Startups Development
In business, success hinges not only on individual performance but on the vitality of the broader ecosystem in which a company operates. However, crafting a thriving ecosystem alone is not enough to ensure success. Equally vital is the ability to manage relationships within this ecosystem effectively, harnessing its potential to enhance overall performance. Moreover, startups face the daunting challenge of scalability, a pivotal factor in long-term sustainability. Yet, achieving scalability often proves elusive due to complexities in resource management and ecosystem development. Innovation and Resource Management Strategies for Startups Development is a comprehensive solution to the pressin...
Developments in Entrepreneurial Finance and Technology
This book offers cutting-edge insights into the changing landscape of entrepreneurial finance, as digital technologies play an increasingly dynamic role in the world economy. Assessing the rapid development of innovative technologies in entrepreneurial ecosystems, it contributes to a wider discussion on the role that technology plays in facilitating and commercializing ideas in the context of global finance.
Algorithmic Learning Theory
This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005. The 30 revised full papers presented together with 5 invited papers and an introduction by the editors were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on kernel-based learning, bayesian and statistical models, PAilearning, query-learning, inductive inference, language learning, learning and logic, learning from expert advice, online learning, defensive forecasting, and teaching.
