“ Image Processing and Jump Regression Analysis builds a bridge between the
worlds of computer graphics and statistics by addressing both the connections
and the differences between these two disciplines. The author provides a
systematic breakdown of the methodology behind nonparametric jump regression
analysis by outlining procedures that are easy to use, simple to compute, and
have proven statistical theory behind them. Key topics include conventional
smoothing procedures, estimation of jump regression curves, edge detection in
image processing, and edge-preserving image restoration, to name a few. With
mathematical proofs kept to a minimum, this book is uniquely accessible as a
primary text in nonparametric jump regression analysis and image processing as
well as a reference on image processing or curve/surface estimation.
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Charles Semple, Mike Steel, "Phylogenetics"
Oxford University Press | ISBN 0198509421 | 2003 Year | DjVu | 2,22 Mb | 256
Pages
“ "Phylogenetics" is the reconstruction and analysis of phylogenetic
(evolutionary) trees and networks based on inherited characteristics. It is a
flourishing area of intereaction between mathematics, statistics, computer
science and biology. The main role of phylogenetic techniques lies in
evolutionary biology, where it is used to infer historical relationships between
species. However, the methods are also relevant to a diverse range of fields
including epidemiology, ecology, medicine, as well as linguistics and cognitive
psychology This book is intended for biologists interested in the mathematical
theory behind phylogenetic methods, and for mathematicians, statisticians, and
computer scientists eager to learn about this emerging area of discrete
mathematics. "Phylogenetics" in the 24th volume in the Oxford Lecture Series in
Mathematics and its Applications. This series contains short books suitable for
graduate students and researchers who want a well-written account of mathematics
that is fundamental to current to research. The series emphasises future
directions of research and focuses on genuine applications of mathematics to
finance, engineering and the physical and biological sciences.
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Gary Zweiger, "Transducing the Genome: Information, Anarchy, and Revolution in
The Biomedical Sciences"
McGraw-Hill | ISBN 0071387617 | 2002 Year | PDF | 0,82 Mb | 288 Pages
“ What has made the Human Genome Project so deeply appealing? In one sense, it's
just another large-scale, big-budget effort to keep a gang of nerds busy and out
of trouble for a few years. Geneticist Gary Zweiger looks askance at this and
explains how the confluence of information systems, big science, and business
exemplified by the HGP is actually accelerating the pace of beneficial change
for all people. Transducing the Genome: Information, Anarchy, and Revolution in
the Biomedical Sciences draws deeply on Zweiger's experience in biological
science and biotech commerce to illuminate the scientific, economic, and legal
issues relevant to the search for a more complete understanding of human
genetics. Brimming with pro-capitalist optimism, he believes that the
information revolution spawned the biotech explosion and will soon lead to
better, cheaper solutions to a very broad range of health problems:
Knowledge of our internal information network will come mostly from an explosion
of new genomic database analyses. A growing army of mathematicians and
information scientists will develop increasingly powerful and more useful
algorithms and computational processes for finding biomedical knowledge in these
databases. A growing regiment of biologists and medical professionals with
training in mathematics and information sciences will lead these knowledge
discovery missions.
Zweiger assuages the reader's fears of gene patents with a brief foray into
intellectual property law. It does seem unlikely that biotech patents will pose
any more problems than standard pharmaceutical company practice. Combining
scientific, legal, and business expertise, Transducing the Genome provides the
most comprehensive overview of the birth of biotech yet written.
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Gines Lifante, "Integrated Photonics: Fundamentals"
John Wiley & Sons | ISBN 0470848685 | 2003 Year | PDF | 1,71 Mb | 198 Pages
“ All integrated optical components and devices make use of "waveguides", where
light is confined by total internal reflection. The elements in such "photonic
chip" are interconnected through waveguides, and also the integrated optics
components themselves are fabricated using waveguide configuration, such as
couplers, switches, modulators, multiplexors, amplifiers and lasers, etc. These
components are integrated in a single substrate, thus resulting in a compact and
robust photonic device, which can be optically connected through optical fibres.
With and increase in the number of integrated optical components and devices
emerging from the research laboratories to the market place an up-to-date book
is essential in collecting, summarizing and presenting the new developed
photonic devices. This includes fundamental aspects, technical aspects (such as
fabrication techniques and materials) and characterisation and performance.
This is an advanced text aimed at specialists in the field of photonics, but who
may be new to the field of integrated photonics. The fundamental aspects have
been carefully considered, and all the topics covered by the book start at a
medium level, making it highly relevant for undergraduate and post-graduate
students following this discipline.
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A.Scott, "Neuroscience. A mathematical primer"
Springer | ISBN 0387954023 | 2002 Year | DjVu | 2,56 Mb | 376 Pages
“ This is an introductory text of mathematical neuroscience intended for anyone
who wants to appreciate the role that mathematics and mathematical modeling and
analysis can do to aid an understanding of how the brain works and the nature of
the mind. In particular, the book will be of interest to established
neuroscientists and neuroscience students who wish to know what roles
mathematical formulations can play in attempting to comprehend the dynamics of a
human brain. It is expected that this text will be interesting for mathematics
faculty teaching in neuroscience programs. It also aims to serve as a general
introduction to neuromathematics in neuroscience programs at both undergraduate
and graduate levels. Physical scientists and bioengineers who plan to extend
their research activities into the realms of cognitive science will find this an
ideal guide, as will philosophers and social scientists who wish to understand
the degree to which dynamics of a brain can be reduced to mathematical
formulations. Mathematical formulations in neuroscience are of five sorts: (i)
Exact descriptions of well understood dynamic processes, like the Hodgkin--
Huxley theory of the nerve impulse. (ii) Metaphorical descriptions of more
complex phenomena, like the stationary states of a Hopfield model. (iii)
Information theory for dealing with the storage and transmission of data. (iv)
Logical calculus (Boolean algebra) for the analysis of information processing
systems. (v) Number theory for counting large numbers of possibilities. (vi)
Statistical tools for organizing and evaluating data.
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James Tisdall, "Beginning Perl for Bioinformatics"
O'Reilly | ISBN 0596000804 | 2001 Year | PDF | 1,24 Mb | 400 Pages
“ With its highly developed capacity to detect patterns in data, Perl has become
one of the most popular languages for biological data analysis. But if you're a
biologist with little or no programming experience, starting out in Perl can be
a challenge. Many biologists have a difficult time learning how to apply the
language to bioinformatics. The most popular Perl programming books are often
too theoretical and too focused on computer science for a non-programming
biologist who needs to solve very specific problems. Beginning Perl for
Bioinformatics is designed to get you quickly over the Perl language barrier by
approaching programming as an important new laboratory skill, revealing Perl
programs and techniques that are immediately useful in the lab. Each chapter
focuses on solving a particular bioinformatics problem or class of problems,
starting with the simplest and increasing in complexity as the book progresses.
Each chapter includes programming exercises and teaches bioinformatics by
showing and modifying programs that deal with various kinds of practical
biological problems. By the end of the book you'll have a solid understanding of
Perl basics, a collection of programs for such tasks as parsing BLAST and
GenBank, and the skills to take on more advanced bioinformatics programming.
Some of the later chapters focus in greater detail on specific bioinformatics
topics. This book is suitable for use as a classroom textbook, for self-study,
and as a reference. The book covers:
— Programming basics and working with DNA sequences and strings
— Debugging your code
— Simulating gene mutations using random number generators
— Regular expressions and finding motifs in data
— Arrays, hashes, and relational databases
— Regular expressions and restriction maps
— Using Perl to parse PDB records, annotations in GenBank, and BLAST output
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Alan Davies (Editor), Catherine Elder (Editor), "The Handbook of Applied
Linguistics"
Blackwell Publishers | ISBN 0631228993 | 2004 Year | PDF | 4,16 Mb | 864 Pages
“ We have argued in our general introduction that while the distinction between
Linguistics Applied (L-A) and Applied Linguistics (A-L) is fugitive, it remains
necessary and that it is at its most obvious in the orientation of the
researchers, why they are investigating a problem and collecting their data.
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Susan Scott, Christopher J. Duncan, "Biology of Plagues: Evidence from
Historical Populations"
Cambridge University Press | ISBN 0521017769 | 2005 Year | DjVu | 3,86 Mb | 434
Pages
“ The threat of unstoppable plagues, such as AIDS and Ebola, is always with us.
In Europe, the most devastating plagues were those from the Black Death pandemic
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