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Dieser Bericht stellt die wesentlichen Ergebnisse der sozialwissenschaftlichen und ökologischen Begleitforschung in der Modellregion Elektromobilität Rhein-Main (SÖB) dar. Dabei wird zunächst das Projektumfeld vorgestellt, indem auf die Rahmenbedingungen des Förderprogramms sowie weitere Programme und Projekte im Bereich Elektromobilität eingegangen wird. Im zweiten Kapitel wird das Projektkonsortium und dessen Einbettung in die Modellregion Rhein-Main erläutert, sowie die Verknüpfung mit der überregionalen Begleitforschung der Nationalen Organisation Wasser- und Brennstoffzellentechnologie (NOW). Im Kapitel 3 wird das Forschungsdesign der SÖB skizziert. Dazu werden einige Erkenntnisse aus der ersten Förderperiode beleuchtet, die für die Forschungsziele der aktuellen Förderperiode ausschlaggebend waren. Des Weiteren erfolgt eine Ausführung der methodischen Vorgehensweisen der Projektpartner. Das darauf folgende Kapitel 4 stellt die wesentlichen Ergebnisse des Projekts dar. Dabei wurde bewusst versucht, die verschie¬denen Erkenntnisse der einzelnen Partner thematisch miteinander zu verknüpfen. Aus den Ergeb¬nissen wurden Handlungsempfehlungen für verschiedene Bereiche und Akteure generiert, die in Kapitel 5 einfließen. Abschließend rundet ein Fazit mit zusammenfassenden Erkenntnissen den Bericht ab.
Beyond their role in pathogen recognition and the initiation of immune defense, Toll-like receptors (TLRs) are known to be involved in various vascular processes in health and disease. We investigated the potential of the lipopeptide and TLR2/6 ligand macrophage activating protein of 2-kDA (MALP-2) to promote blood flow recovery in mice. Hypercholesterolemic apolipoprotein E (Apoe)-deficient mice were subjected to microsurgical ligation of the femoral artery. MALP-2 significantly improved blood flow recovery at early time points (three and seven days), as assessed by repeated laser speckle imaging, and increased the growth of pre-existing collateral arteries in the upper hind limb, along with intimal endothelial cell proliferation in the collateral wall and pericollateral macrophage accumulation. In addition, MALP-2 increased capillary density in the lower hind limb. MALP-2 enhanced endothelial nitric oxide synthase (eNOS) phosphorylation and nitric oxide (NO) release from endothelial cells and improved the experimental vasorelaxation of mesenteric arteries ex vivo. In vitro, MALP-2 led to the up-regulated expression of major endothelial adhesion molecules as well as their leukocyte integrin receptors and consequently enhanced the endothelial adhesion of leukocytes. Using the experimental approach of femoral artery ligation (FAL), we achieved promising results with MALP-2 to promote peripheral blood flow recovery by collateral artery growth.
To assess the scope of infection control measures for multidrug-resistant bacteria in high-risk settings, a survey among university hospitals was conducted. Fourteen professionals from 8 sites participated. Reported policies varied largely with respect to the types of wards conducting screening, sample types used for screening and implementation of contact precautions. This variability among sites highlights the need for an evidence-based consensus of current infection control policies.
This paper reports on Monte Carlo simulation results for future measurements of the moduli of time-like proton electromagnetic form factors, |GE | and |GM|, using the ¯pp → μ+μ− reaction at PANDA (FAIR). The electromagnetic form factors are fundamental quantities parameterizing the electric and magnetic structure of hadrons. This work estimates the statistical and total accuracy with which the form factors can be measured at PANDA, using an analysis of simulated data within the PandaRoot software framework. The most crucial background channel is ¯pp → π+π−,due to the very similar behavior of muons and pions in the detector. The suppression factors are evaluated for this and all other relevant background channels at different values of antiproton beam momentum. The signal/background separation is based on a multivariate analysis, using the Boosted Decision Trees method. An expected background subtraction is included in this study, based on realistic angular distribuations of the background contribution. Systematic uncertainties are considered and the relative total uncertainties of the form factor measurements are presented.