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Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

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Book Series: Lecture Notes in Computational Science and Engineering ISSN: 1439-7358 ISBN: 9783319300290 9783319300306 Year: Volume: 111 Pages: 261 DOI: 10.1007/978-3-319-30030-6 Language: English
Publisher: Springer Nature
Subject: Business and Management --- Geology --- Earth Sciences --- Computer Science --- Electrical and Nuclear Engineering --- Biotechnology --- Internal medicine --- Medical technology --- Therapeutics --- General and Civil Engineering
Added to DOAB on : 2017-02-15 18:39:18
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Flow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where the gating mechanism is represented by a Markov model. The flow through a channel can be manipulated using various drugs, and the effect of a given drug can be reflected by changing the Markov model. These lecture notes provide an accessible introduction to the mathematical methods needed to deal with these models. They emphasize the use of numerical methods and provide sufficient details for the reader to implement the models and thereby study the effect of various drugs. Examples in the text include stochastic calcium release from internal storage systems in cells, as well as stochastic models of the transmembrane potential. Well known Markov models are studied and a systematic approach to including the effect of mutations is presented. Lastly, the book shows how to derive the optimal properties of a theoretical model of a drug for a given mutation defined in terms of a Markov model.

Portraits of Automated Facial Recognition

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Book Series: Image ISBN: 9783839448465 Year: Pages: 198 DOI: 10.14361/9783839448465 Language: English
Publisher: transcript Verlag
Subject: Media and communication
Added to DOAB on : 2020-01-22 11:21:04
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Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called »eigenface« and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.

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