Professional CSS : Cascading Style Sheets for Web Design, 2nd Edition 2008

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Book Description

Covering key areas of evaluation and methodology, client-side applications, specialist and novel technologies, along with initial appraisals of disabilities, this important book provides comprehensive coverage of web accessibility.

Written by leading experts in the field, it provides an overview of existing research and also looks at future developments, providing a much deeper insight than can be obtained through existing research libraries, aggregations, or search engines. In tackling the subject from a research, rather than practitioner standpoint, scientists, engineers and postgraduate students will find a definitive and foundational text that includes field overviews, references, issues, new research, problems and solutions, and opinions from industrial experts and renowned academics from leading international institutions including Adobe, Google, IBM, W3C, and York, Dartmouth and Kansai Universities.

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Book Description
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

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Book Description

* Updated for the most recent tools, techniques, and standards for creating cutting-edge Web sites for businesses or personal use, this book is one-stop shopping for HTML, JavaScript, CSS, tables, forms, Flash, and more
* Brand-new chapters cover Ajax, Adobe CS3 tools, RSS, and blogging tools
* Hands-on guidance and expert advice dive into such topics as creating and editing images and graphics, adding multimedia elements (e.g., Flash animations, audio, and video), creating stores for Yahoo! and Amazon.com, designing auction pages for eBay, and building blogs
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This customized course in Perl includes a unique Web-based component with an online “mentor” to answer Perl questions, a special Internet Mailing List just for readers of this book that allows students to ask questions or “meet” other students, and online quizzes and exams for immediate feedback on their progress. - Online “mentor” offers individualized attention and answers the reader’s specific Perl questions.

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Webplus X2 User Guide

ISBN: 1906471282 2008-06 PDF 352 pages 2.7 MB

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Product Description

One of the most important elements needed for effective training in Virtual Reality (VR) is the generation of variable scenarios. Without this, trainees quickly become familiar with a scene and the natural variations encountered in real-life situations cannot be reproduced. Generating such models in VR-based applications is difficult, but with the increase in computational power (allowing for larger and more finely-detailed virtual environments) there is an increasing demand for improved methods for model acquisition, enhancement, optimization and adaptation.

The field of medicine lends itself very well to VR-based training particularly in the area of surgery. In this book Matthias Harders examines the main components needed when defining effective scenarios:

• scene geometry

• organ appearance

• biomechanical parameters

providing an extensive overview of related work and introducing specific solutions in detail.

With plenty of examples to show the outcome and performance of the methods presented in the book, this will be an essential resource for all those involved in generating training scenarios in medical education, as well as in VR-based training in general.

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Product Description
Catheter ablation has become a mainstay in the therapy of cardiac arrhythmias. The development of electroanatomical mapping technologies (such as CARTO) has facilitated more complex ablation procedures.

This brand new book encompasses cardiac arrhythmias and practical tips for users of electroanatomical mapping, providing a color atlas of different arrhythmias, presented as cases, that have been carefully mapped and correlated with clinical and electrogram data.

Including maps from all the major mapping systems such as CARTO, NAVX, ESI, RPM as well as activation maps and voltage maps, this book is an ideal reference book and learning tool for electrophysiologists, electrophysiology fellows and electrophysiology laboratory staff.

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Description: Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn’t been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments.

This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as “black boxes”.

Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.

The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other “plumbing” minutiae as would be required in other, more low-level programming languages such as C or C++.

Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as “flops” won’t work in current versions of Matlab, necessitating a book that is timely and up-to-date.

The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project.

The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago. Two co-authors (PW and NH) have presented their respective work on teaching Matlab at national meetings and two of the co-authors (PW and MB) were awarded the coveted University of Chicago’s Booth Prize for excellence in teaching these courses. (http://chronicle.uchicago.edu/070524/boothprize.shtml ).

* The first comprehensive textbook on Matlab with a focus for its application in Neuroscience
* Problem based educational approach with many examples from neuroscience and cognitive psychology using real data
* Authors are award winning educators with strong teaching experience
* Instructor’s Website with figurebank, additional problems and examples, solutions, etc

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Product Description
The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment.

Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
About the Author
Petr Berka is a full professor at the Department of Information and Knowledge Engineering, University of Economics and also works in the Centre of Biomedical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic. His main research interests are machine learning, data mining and knowledge-based systems.

Jan Rauch is an associate professor at the Deptartment of Information and Knowledge Engineering, University of Economics and also works in the Centre of Biomedical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic. His main research interest is data mining.

Djamel Abdelkader Zighed received his Master in Computer and Automatic Science in 1982 and his PhD in computer science in 1985 both from University Lyon I. He was as assistant professor at University Lyon 1 in 1984-1987. In 1987, he joined the University Lyon II where he worked as lecturer (1987-1991), professor (1991-2000) and 1st class professor (2000 - present). He is interested in data mining (including mining complex data), machine learning and knowledge engineering. He is the founder and was director (1995-2002) of the ERIC laboratory (laboratory for development of methods and software for knowledge engineering, and more specifically automatic Knowledge Discovery in Databases).

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Product Description
Advances have been made in improved signal and image interpolation that derive a unified framework, thus achieving improvement of the approximation properties of the interpolation function regardless of its dimensionality or degree.

Improved Signal and Image Interpolation in Biomedical Applications: The Case of Magnetic Resonance Imaging (MRI) presents a novel approach for the improvement of the approximation characteristics of interpolation functions. A unique and original resource, this book approaches both the theory and methodology absent from most publications of its kind, a valuable inclusion for those interested in exploring the innovative approach that this reference proposes.

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