Immuno-Glyco-Imaging in Plant Cells: Localization of Cell Wall Carbohydrate Epitopes and Their Biosynthesizing Enzymes

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Beneficial Effects of Remifentanil Against Excitotoxic Brain Damage in Newborn Mice

Background: Remifentanil, a synthetic opioid used for analgesia during cesarean sections, has been shown in ex vivo experiments to exert anti-apoptotic activity on immature mice brains. The present study aimed to characterize the impact of remifentanil on brain lesions using an in vivo model of excitotoxic neonatal brain injury.Methods: Postnatal day 2 (P2) mice received three intraperitoneal injections of remifentanil (500 ng/g over a 10-min period) or saline just before an intracortical injection of ibotenate (10 μg). Cerebral reactive oxygen species (ROS) production, cell death, in situ labeling of cortical caspase activity, astrogliosis, inflammation mediators, and lesion size were determined at various time points after ibotenate injection. Finally, behavioral tests were performed until P18.Results: In the injured neonatal brain, remifentanil significantly decreased ROS production, cortical caspase activity, DNA fragmentation, interleukin-1β levels, and reactive astrogliosis. At P7, the sizes of the ibotenate-induced lesions were significantly reduced by remifentanil treatment. Performance on negative geotaxis (P6-8) and grasping reflex (P10-12) tests was improved in the remifentanil group. At P18, a sex specificity was noticed; remifentanil-treated females spent more time in the open field center than did the controls, suggesting less anxiety in young female mice.Conclusions:In vivo exposure to remifentanil exerts a beneficial effect against excitotoxicity on the developing mouse brain, which is associated with a reduction in the size of ibotenate-induced brain lesion as well as prevention of some behavioral deficits in young mice. The long-term effect of neonatal exposure to remifentanil should be investigated

Indoor Human/Robot Localization using Robust Multi-modal Data Fusion

International audienceHome automation is now implemented in many retirement homes in order to improve elderly’s autonomy and safety. Smart homes allow to monitor the activities of elderly persons using information coming from different sensors. The ADL (Activities of Daily Living) are used to evaluate the ability of a person to perform on their own a selection of the activities which are essential for independent living in everyday life. The ADL are then used to detect deviations in a person’s behaviour. Indoor localization based on the fusion of heterogeneous data from different sensors, is then essential for ADL characteriza- tion. For this purpose, a robust data fusion method is presented in this work through a multi-modal analysis to monitor the activities of elderly people (immobility, walking, etc) in a smart home. The paper describes the installation of sensors in a Living Lab and the preliminary experimental results using a set of Pyroelectric Infra Red (PIR) sensors, Radio Frequency Identification (RFID) distance measurement and the outcome of a noise analysis. Within a set-membership framework, our algorithm for robust localization employs a multi-modal data fusion approach dealing with faulty measurements

Newsletter für Freunde, Absolventen und Ehemalige der Technischen Universität Chemnitz 1/2016

Die aktuelle Ausgabe des Newsletter für Freunde, Absolventen und Ehemalige der Technischen Universität Chemnitz

Robust Indoor Location Tracking of Multiple Inhabitants Using Only Binary Sensors.

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TU-Spektrum 2/2015, Magazin der Technischen Universität Chemnitz

unregelmäßig erscheinende Zeitschrift über aktuelle Themen der TU Chemnit

Characterization of Arabidopsis thaliana pollen tube cell wall

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Characterization of Arabidopsis thaliana pollen tube cell wall

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The pollen tube cell wall: a microscopic and biochemical characterization

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The pollen tube cell wall: a microscopic and biochemical characterization

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