Infectious diseases are transmitted through variousdifferent mechanisms including person to personinteractions, by insect vectors and via verticaltransmission from a parent to an unborn offspring.
Behavioural Mechanisms of Food Selection examines animals belonging to diverse trophic groups, from carnivores, herbivores, micro-algal grazers, to filter-feeders and detritus-feeders.
Mustererkennung heißt, ähnlich wie bei Sinneswahrnehmungen mit Sensoren Signale aus der technischen Umwelt zu empfangen und mit Hilfe zuvor gelernter Situationen momentane Messungen zu interpretieren und dabei im Hinblick auf neue Eindrücke lernfähig zu sein.
In this volume experts present the latest status of mathematical and statistical methods in use for the analysis and modeling of plant disease epidemics.
Das Buch behandelt die Robotik aus der Sicht der Künstlichen Intelligenz (KI) sowohl für einen einzelnen Roboter als auch für Roboterverbände (verteilte KI).
"e;Methods in Protein Sequence Analysis - 1988"e; - contains selected contributions on modern protein- analytical techniques as presented by speakers at the Seventh International Conference on "e;Methods in Protein Sequence Analysis"e;, held from July 3rd to July 8th, 1988 in Berlin.
Readers of my books, students and scientists, often ask for spe- cial references not commonly found in introductory or interme- diate books on statistics.
In May 1984 the Swedish Council for Scientific Research convened a small group of investigators at the scientific research station at Abisko, Sweden, for the purpose of examining various conceptual and mathematical views of the evolution of complex systems.
From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied.
The text of this book is derived from courses taught by the author in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook.
These notes are based on (i) a series of lectures that I gave at the 14th Biennial Seminar of the Canadian Mathematical Congress held at the University of Western Ontario August 12-24, 1973 and (li) some of my lectures in a modeling course that I have cotaught in the Division of Bio-Medical Sciences at Brown during the past several years.
These Proceedings have been assembled from papers presented at the Conference on Models of Biological Growth and Spread, held at the German Cancer Research Centre Heidelberg and at the Institute of Applied Mathematics of the University of Heidelberg, July 16-21, 1979.
The Second Autumn Course on Mathematical Ecology was held at the Intern- ational Centre for Theoretical Physics in Trieste, Italy in November and December of 1986.
New developments in computer science, biology, mathematics and physics offer possibilities to obtain deeper understanding of growth and forms of organisms.
In February 1985 a small international meeting of scientists took place at the recreation resort of the Polish Academy of Sci- ences in Mogilany, near Cracow, Poland.
The purpose of these notes is to give a rather complete presentation of the mathematical theory of algebras in genetics and to discuss in detail many applications to concrete genetic situations.
In many fields of science and practice large amounts of dataand informationare collected for analyzing and visualizinglatent structures as orderings or classifications forexample.
The development of the life sciences may be said to have effected a gradual transition from a more or less intuitive prescientific approach based on crude observation, via a more refined type of observation to experimentation and hence to the level of formal theories.
A rich and abundant literature has developed during the last half century dealing with mechanical aspects of the eye, mainly from clinical and, experimental points of view.
From a mathematical point of view, physiologically structured population models are an underdeveloped branch of the theory of infinite dimensional dynamical systems.
These Notes grew from my research in evolutionary biology, specifically on the theory of evolutionarily stable strategies (ESS theory), over the past ten years.
