The aim of this work is to present the efficacy of a previously introduced computational procedure, developed for evaluation of vascular responsiveness. On this reason, as an example a common study of noradrenaline (NA) effect on a rat renal artery under in vitro conditions was arbitrarily selected. The response of the arterial segment to NA doses (0.1-10 μg) was digitally recorded on a PC and employed to develop mathematical model of NA effect. Using the model, the following NA effect variables were determined: the vessel sensitivity parameter, mean effect time and rate constant, respectively, characterizing the effect intensity, duration, and regression and also classic response variables: the maximal effect and time of the maximal effect. The two-way analysis of variance followed by Bonferroni’s test revealed a significant influence of the increasing NA dose on the vessel sensitivity parameter and mean effect time. These findings indicated nonlinearity of processes underlying NA effect on the rat renal artery over the given range of NA doses. The procedure exemplified has the potential for use as an effective adjunct to routine studies of vascular responsiveness as it enables the extraction of meaningful information which cannot by obtained by common manual evaluation procedures., M. Ďurišová, L. Dedík, V. Kristová, R. Vojtko., and Obsahuje bibliografii a bibliografické odkazy
Pracovník Ústavu teorie informace a automatizace AV ČR Ing. Filip Šroubek, Ph.D., DSc., obhájil disertaci Multichannel Blind Image Restoration před komisí Informatika a kybernetika a získal vědecký titul „doktor fyzikálně-matematických věd“. Dr. Šroubek se dlouhodobě zabývá aspekty digitálního zpracování obrazu. V disertaci prezentoval nové řešení inverzního problému vícekanálové slepé dekonvoluce, které otevírá možnost aplikovat dekonvoluci v mnoha vědeckých disciplínách, kdy z několika nepřesných měření požadujeme rekonstruovat původní data. and Filip Šroubek.