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Fußball oder Mathematik
(1971)
Fünf Fragen an Ilka Helmig
(2009)
Genetically humanized mice for proteins involved in drug metabolism and toxicity and mice engrafted with human hepatocytes are emerging as promising in vivo models for improved prediction of the pharmacokinetic, drug–drug interaction, and safety characteristics of compounds in humans. This is an overview on the genetically humanized and chimeric liver-humanized mouse models, which are illustrated with examples of their utility in drug metabolism and toxicity studies. The models are compared to give guidance for selection of the most appropriate model by highlighting advantages and disadvantages to be carefully considered when used for studies in drug discovery and development.
Geologisch-geotechnischer Planungsprozess von Tunnelbauten mit Schwerpunkt tiefliegender Tunnel
(2014)
Geotechnik
(2012)
In der nationalen und der europäischen Normung werden die geotechnischen Aufgaben zwecks Mindestanforderungen an Baugrunduntersuchung, rechnerische Nachweise und Überwachung der Ausführung in drei Klassen (Kategorien) eingeteilt. Sie richten sich nach der zu erwartenden Reaktion des Baugrundes, nach dem geotechnischen Schwierigkeitsgrad des Tragwerks und seiner Einflüsse auf dieUmgebung.
Geotechnik
(2015)
In der nationalen und der europäischen Normung werden die geotechnischen Aufgaben zwecks Mindestanforderungen an Baugrunduntersuchung, rechnerische Nachweise und Überwachung der Ausführung in drei Klassen (Kategorien) eingeteilt. Sie richten sich nach der zu erwartenden Reaktion des Baugrundes, nach dem geotechnischen Schwierigkeitsgrad des Tragwerks und seiner Einflüsse auf die Umgebung.
In DIN 4020 wurde die Einteilung bezüglich Art und Umfang der geotechnischen Untersuchungen bereits verbindlich eingeführt.
Geotechnik
(2012)
Geotechnik
(2009)
Geotechnik
(2005)
Geotechnik
(2015)
Searching optimal continuous-thrust trajectories is usually a difficult and time-consuming task. The solution quality of traditional optimal-control methods depends strongly on an adequate initial guess because the solution is typically close to the initial guess, which may be far from the (unknown) global optimum. Evolutionary neurocontrol attacks continuous-thrust optimization problems from the perspective of artificial intelligence and machine learning, combining artificial neural networks and evolutionary algorithms. This chapter describes the method and shows some example results for single- and multi-phase continuous-thrust trajectory optimization problems to assess its performance. Evolutionary neurocontrol can explore the trajectory search space more exhaustively than a human expert can do with traditional optimal-control methods. Especially for difficult problems, it usually finds solutions that are closer to the global optimum. Another fundamental advantage is that continuous-thrust trajectories can be optimized without an initial guess and without expert supervision.