La rencontre de deux personnages de légende dans l'univers magique d'À la croisée des mondes.
Dans un port du Grand Nord où se côtoient aventuriers et marins perdus, l'aéronaute texan Lee Scoresby et l'ours en armure Iorek Byrnisonse liguent contre l'injustice, scellant ainsi leur amitié.
Deux ans après À la croisée des mondes, Lyra nous emmène dans une nouvelle aventure, en quête d'un mystérieux élixir... Un texte ensorcelant, illustré de gravures et de documents passionnants.
New to the Wiley Series in Forensic Clinical Psychology, Offence Paralleling Behaviour presents an original framework of individualised assessment and treatment methods for clinicians working in the forensic environment. Provides a framework that helps practitioners to identify and work with offence-relevant behaviour and evidence pro-social change Describes how Offence Paralleling Behaviour (OPB) can be successfully identified and used in risk assessment and treatment planning Brings together leading academics and frontline clinicians, including psychiatric nurses, psychologists, psychiatrists, occupational therapists, drug and alcohol specialists, and correctional officers, as well as featuring the views of prisoners on OPB Presents methods which allow staff to identify and use OPB in clinical practice
?This text provides a comprehensive resource and step-by-step guide to the office based procedures that would commonly occur in an andrology practice. The main purpose of the text is to serve as a "How-to" guide for urology providers and staff to help with either initial training or as a refresher prior to performing the procedures. Written by experts in the field, each chapter begins with information on necessary equipment and shows a series of images (photos and illustrations) on key points during the procedure, including tips and tricks of the trade.
Atlas of Office Based Andrology Procedures provides a valuable resource for urologists, nurse practitioners, and physician assistants in practice, residents and fellows in urological training, as well as nurses and medical assistants who help with these procedures.
Over the last fifteen years, Russia has become a larger part of the global economy-and in the years ahead, it will continue to grow in prominence. If you want to improve your investment endeavors in this market, you must first understand how it operates. With Out of the Red as your guide, you'll become familiar with all the opportunities this country has to offer and learn how to make the most informed investing decision within this emerging arena.
Numerical Algorithmic Science and Engineering (NAS&E), or more compactly, Numerical Algorithmics, is the theoretical and empirical study and the practical implementation and application of algorithms for solving finite-dimensional problems of a numeric nature. The variables of such problems are either discrete-valued, or continuous over the reals, or, and as is often the case, a combination of the two, and they may or may not have an underlying network/graph structure. This re-emerging discipline of numerical algorithmics within computer science is the counterpart of the now well-established discipline of numerical analysis within mathematics, where the latter's emphasis is on infinite-dimensional, continuous numerical problems and their finite-dimensional, continuous approximates.
A discussion of the underlying rationale for numerical algorithmics, its foundational models of computation, its organizational details, and its role, in conjunction with numerical analysis, in support of the modern modus operandi of scientific computing, or computational science & engineering, is the primary focus of this short monograph. It comprises six chapters, each with its own bibliography. Chapters 2, 3 and 6 present the book's primary content. Chapters 1, 4, and 5 are briefer, and they provide contextual material for the three primary chapters and smooth the transition between them. Mathematical formalism has been kept to a minimum, and, whenever possible, visual and verbal forms of presentation are employed and the discussion enlivened through the use of motivating quotations and illustrative examples.
The reader is expected to have a working knowledge of the basics of computer science, an exposure to basic linear algebra and calculus (and perhaps some real analysis), and an understanding of elementary mathematical concepts such as convexity of sets and functions, networks and graphs, and so on. Although this book is not suitable for use as the principal textbook for a course on numerical algorithmics (NAS&E), it will be of value as a supplementary reference for a variety of courses. It can also serve as the primary text for a research seminar. And it can be recommended for self-study of the foundations and organization of NAS&E to graduate and advanced undergraduate students with sufficient mathematical maturity and a background in computing.
When departments of computer science were first created within universities worldwide during the middle of the twentieth century, numerical analysis was an important part of the curriculum. Its role within the discipline of computer science has greatly diminished over time, if not vanished altogether, and specialists in that area are now to be found mainly within other fields, in particular, mathematics and the physical sciences. A central concern of this monograph is the regrettable, downward trajectory of numerical analysis within computer science and how it can be arrested and suitably reconstituted. Resorting to a biblical metaphor, numerical algorithmics (NAS&E) as envisioned herein is neither old wine in new bottles, nor new wine in old bottles, but rather this re-emerging discipline is a decantation of an age-old vintage that can hopefully find its proper place within the larger arena of computer science, and at what appears now to be an opportune time.
A comprehensive treatment of statistical applications for solving real-world environmental problems
A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling-all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.
