Peroxidases—Advances in Research and Application: 2012 Edition
Peroxidases—Advances in Research and Application: 2012 Edition

Author:

Publisher: ScholarlyEditions

Published: 2012-12-26

Total Pages: 473

ISBN-13: 1464993246

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Peroxidases—Advances in Research and Application: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Peroxidases. The editors have built Peroxidases—Advances in Research and Application: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Peroxidases in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Peroxidases—Advances in Research and Application: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Mathematics of Program Construction
Mathematics of Program Construction

Author: Johan Jeuring

Publisher: Springer Science & Business Media

Published: 1998-05-27

Total Pages: 404

ISBN-13: 9783540645917

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This book consitutes the refereed proceedings of the 4th International Conference on Mathematics of Program Construction, MPC'98, held in Marstrand, near Goteborg, Sweden, in June 1998. The 17 revised full papers presented were selected from 57 submissions; also included are three invited contributions. The volume is devoted to the use of crisp, clear mathematics in the discovery and design of algorithms and in the development of corresponding software and hardware; varoius approaches to formal methods for systems design and analysis are covered.

Workplace Drug Testing
Workplace Drug Testing

Author: Alain G. Verstraete

Publisher: Pharmaceutical Press

Published: 2011

Total Pages: 461

ISBN-13: 0853696942

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This comprehensive text provides clear explanations of the effects of drugs on human performance and the need for workplace drug testing. It provides essential information on the regulatory and legal frameworks around the world, how to set policies and coverage of all aspects of drug analysis and the associated interpretation of results.Contents include:* epidemiology of drug use in the working population* the evidence base and guidelines for workplace drug testing* legal, regulatory aspects and policies for drugs and alcohol* urine and alternative sample collection process* analytical techniques and specimen adulteration.Case studies of successful programmes are also included to illustrate the principles discussed.Written by internationally acknowledged experts this informative book will be essential reading for anyone interested in workplace drug testing or setting up such a system including clinical and forensic toxicologists, occupational health physicians, nurses, human resources, drug counselling and treatment providers, analytical chemists and lawyers.Alain Verstraete is Professor at the Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, Ghent, Belgium and Department Head of the Toxicology Laboratory of the Laboratory of Clinical Biology, Ghent University Hospital, Ghent, Belgium.

Data Mining and Knowledge Discovery via Logic-Based Methods
Data Mining and Knowledge Discovery via Logic-Based Methods

Author: Evangelos Triantaphyllou

Publisher: Springer Science & Business Media

Published: 2010-06-08

Total Pages: 371

ISBN-13: 144191630X

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The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.