Covers the latest innovations in horse handling, including rider body awareness,
equine movement awareness, and round-pen work
Demostrates how the innovations and training methods inter-relate –– and how to
combine them effectively
Reveals how to increase the strength and endurance of both horse and rider
Explains the different competitions and who is best suited to compete
Shares inspiring, real-life experiences of all-around horses and their riders
Identifies when to ask for help–and how to find it
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Alan Fersht, "Structure and Mechanism in Protein Science: A Guide to Enzyme
Catalysis and Protein Folding" (3rd edition)
W.H.Freeman | ISBN 0716732688 | 1998 Year | DjVu | 22 Mb | 650 Pages
“ This book belongs in every protein biochemists collection. It is a clear, up-
to-date review of protein structure and function, with a concentration on
enzymes. It covers a host of vital topics, including: the theories of chemical
catalysis, enzyme kinetics (buy Segal for an in-depth study of this topic), the
methods for determining rate constants, the stereochemistry of enzyme reactions,
various regulation mechanisms, binding energies and the forces between
molecules, and an overview of protein engineering techniques. If all this were
not enough, Fersht concludes with a wonderful chapter covering case studies of
enzyme structure and mechanism, and another couple on the kinetics and
mechanisms of protein folding. Extensive references are given to the current
literature for further study.
Putting all these topics into one book is an accomplishment that few authors
could pull off - but Fersht does it extremely well!
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Ralf Herbrich, "Learning Kernel Classifiers: Theory and Algorithms"
The MIT Press | ISBN 026208306X | 2001 Year | PDF | 2,54 Mb | 384 Pages
“ Linear classifiers in kernel spaces have emerged as a major topic within the
field of machine learning. The kernel technique takes the linear classifier--a
limited, but well-established and comprehensively studied model--and extends its
applicability to a wide range of nonlinear pattern-recognition tasks such as
natural language processing, machine vision, and biological sequence analysis.
This book provides the first comprehensive overview of both the theory and
algorithms of kernel classifiers, including the most recent developments. It
begins by describing the major algorithmic advances: kernel perceptron learning,
kernel Fisher discriminants, support vector machines, relevance vector machines,
Gaussian processes, and Bayes point machines. Then follows a detailed
introduction to learning theory, including VC and PAC-Bayesian theory, data-
dependent structural risk minimization, and compression bounds. Throughout, the
book emphasizes the interaction between theory and algorithms: how learning
algorithms work and why. The book includes many examples, complete pseudo code
of the algorithms presented, and an extensive source code library.
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Stephen C. Newman, "Biostatistical Methods in Epidemiology"
Wiley-Interscience | ISBN 0471369144 | 2001 Year | PDF | 1,8 Mb | 400 Pages
“ An introduction to classical biostatistical methods in epidemiology
Biostatistical Methods in Epidemiology provides an introduction to a wide range
of methods used to analyze epidemiologic data, with a focus on nonregression
techniques. The text includes an extensive discussion of measurement issues in
epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and
weighted least squares methods are presented for the analysis of closed cohort
and case-control data. Kaplan-Meier and Poisson methods are described for the
analysis of censored survival data. A justification for using odds ratio methods
in case-control studies is provided. Standardization of rates is discussed and
the construction of ordinary, multiple decrement and cause-deleted life tables
is outlined. Sample size formulas are given for a range of epidemiologic study
designs. The text ends with a brief overview of logistic and Cox regression.
Other highlights include:
* Many worked examples based on actual data
* Discussion of exact methods
* Recommendations for preferred methods
* Extensive appendices and references
Biostatistical Methods in Epidemiology provides an excellent introduction to the
subject for students, while also serving as a comprehensive reference for
epidemiologists and other health professionals.
For more information, visit www.wiley.com/mathematics
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Antony C. Sutton, "America's Secret Establishment: An Introduction to the Order
of Skull & Bones"
Trine Day | ISBN 0972020705 | 2003 Year | PDF | 10,81 Mb | 335 Pages
“ For 170 years they have met in secret. From out of their initiates come
presidents, senators, judges, cabinet secretaries, and plenty of spooks. They
are the titans of finance and industry and have now installed a third member as
United States President George W. Bush. This intriguing behind-the-scenes look
documents Yale's secretive society, the Order of the Skull and Bones, and its
prominent members, numbering among them Tafts, Rockefellers, Pillsburys, and
Bushes. Far from being a campus fraternity, the society is more concerned with
the success of its members in the post-collegiate world. Included are a verified
membership list, rare reprints of original Order materials revealing the
interlocking power centers dominated by Bonesmen, and a peek inside the Tomb,
their 140-year-old private clubhouse.
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Andre Lessa, "Python Developer's Handbook"
Sams | ISBN 0672319942 | 2000 Year | PDF | 3,67 Mb | 929 Pages
“ The Python Developer's Handbook is designed to expose experienced developers
to Python and its uses. Beginning with a brief introduction to the language and
its syntax, the book moves quickly into more advanced programming topics,
including embedding Python, network programming, GUI toolkits, JPython, Web
development, Python/C API, and more. Python is an interpreted, object-oriented
programming language. Its syntax is simple and easy to learn, and it encourages
programmers to write and think clearly. The Python Developer's Handbook is
carefully written, well-organized introduction to this powerful, fast-growing
programming language for experienced developers.
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Gregory Bock (Editor), Jamie Goode (Editor), "Immunoinformatics: Bioinformatic
Strategies for Better Understanding of Immune Function"
John Wiley & Sons | ISBN 0470853565 | 2003 Year | PDF | 2,49 Mb | 272 Pages
“ The astounding diversity of the immune system and the complexity of its
regulatory pathways makes immunology a combinatorial science. Computational
analysis has therefore become an essential element of immunology research and
this has led to the creation of the emerging field of immunoinformatics. This
book is the first to feature thorough coverage of this new field.
Immunoinformatics facilitates the understanding of immune function by modelling
the interactions among immunological components. Biological research provides
ever deeper insights into the complexity of living organisms while computer
science provides an effective means to store and analyse large volumes of
complex data. Combining the two fields increases the efficiency of biological
research and offers the potential for major advances in the study of biological
systems.
This book encompasses key developments in immunoinformatics, including
immunological databases, sequence analysis, structure modelling, mathematical
modelling of the immune system, simulation of laboratory experiments,
statistical support for immunological experimentation and immunogenomics.
The difficulties in effective application of bioinformatic tools in immunology
arise at both ends of the spectrum: most immunologists have only a limited
comprehension of sophisticated data analysis and applicability and limitations,
while the average computer scientist lacks knowledge of the depth and complexity
of biological data. The purpose of this book, therefore, is to present
contributions from a multidisciplinary team of biologists and computer
scientists to explore the issues related to better understanding of immune
function and, in particular, to help apply new computer science methods to
immunological research.
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Mourad Barkat, "Signal Detection And Estimation" (2nd edition)
Artech House Publishers | ISBN 1580530702 | 2005 Year | PDF | 4,45 Mb | 714
Pages
“ This newly revised edition of a classic Artech House book provides you with a
comprehensive and current understanding of signal detection and estimation.
Featuring a wealth of new and expanded material, the second edition introduces
the concepts of adaptive CFAR detection and distributed CA-CFAR detection. The
book provides complete explanations of the mathematics you need to fully master
the material, including probability theory, distributions, and random processes.
Containing numerous solved examples, the book helps you apply the material to
projects in the field involving signal processing, radar, and communications.
Packed with over 2,100 equations, 230 figures and 183 problems, this
authoritative resource covers a wide range of critical topics, from parameter
estimation and filtering, to representation of signals and Gaussian processes.
The problems presented at the end of each chapter make this book particularly
well suited for self-study and for use as a text for graduate-level electrical
engineering courses.
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Peter Kenington, "RF And Baseband Techniques for Software Defined Radio"
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