Soft landing of size selected clusters in rare gas matrices

Soft landing of mass selected clusters in rare gas matrices is a technique used to preserve mass selection in cluster deposition. To prevent fragmentation upon deposition, the substrate is covered with rare gas matrices to dissipate the cluster kinetic energy upon impact. Theoretical and experimental studies demonstrate the power of this technique. Besides STM, optical absorption, excitation, and fluorescence experiments, x-ray absorption at core levels can be used as a tool to study soft landing conditions, as will be shown here. X-ray absorption spectroscopy is also well suited to follow diffusion and agglomeration of clusters on surfaces via energy shifts in core level absorption

Community Development Venture Capital: Concept and Status Quo in Germany

As most other countries, Germany also faces dramatic regional differences in terms of socioeconomic development. One important driver of such development is the existence of a healthy entrepreneurial activity and the creation of new companies. We argue that venture capital (VC) and especially community development venture capital (CDVC) can be a powerful instrument to stimulate entrepreneurship and to support the growth of ambitious companies. Hence, the present paper deals with the general questions, whether there are regional gaps in the supply of VC in Germany? Whether these regional gaps do geographically correspond to the most deprived areas in Germany, and which kind of VC companies are currently in place in order to close potential regional gaps? Geographically, we find that the north-eastern part of Germany is far more deprived than the rest of the country, but is relatively well supplied with VC. Nevertheless, the primary potential target area for CDVC activities in the country is the federal state of Brandenburg in this area. Our assessment of German players in the VC market reveals that some public VC companies do investments similar to CDVC. However, these companies do not offer real hands-on support for entrepreneurs, and real CDVC engagement in the country is yet to come

Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation

Background: Noninvasive prediction of defibrillation success after cardiac arrest and cardiopulmonary resuscitation (CPR) may help in determining the optimal time for a countershock, and thus increase the chance for survival. Methods: In a porcine model (n=25) of prolonged cardiac arrest, advanced cardiac life support was provided by administration of two or three doses of either vasopressin or epinephrine after 3 or 8 min of basic life support. After 4 min of ventricular fibrillation and 18 min of life support, defibrillation was attempted. The denoised power spectral density of 10 s intervals of the ventricular fibrillation electrocardiogram (ECG) was estimated from averaged and smoothed Fourier transforms. We have eliminated the spectral contribution of artifacts from manual chest compressions and provide a definition for the contribution of ventricular fibrillation to the power spectral density. This contribution is quantified and termed “fibrillation power”. Results: We tested fibrillation power and two established methods in their discrimination of survivors (n=16) vs. non-survivors (n=9) in the last minute before the countershock. A fibrillation power ⩾79 dB predicted successful defibrillation with sensitivity, specificity, positive predictive value and negative predictive value of 98%, 98%, 99% and 97% while a mean fibrillation frequency ⩾7.7 Hz was predictive with 85%, 83%, 90% and 77% and a mean amplitude ⩾0.49 mV was predictive with 95%, 90%, 94% and 91%. Conclusions: We suggest that fibrillation power is an alternative source of information on the status of a fibrillating heart and that it may match the established mean frequency and amplitude analysis of ECG in predicting successful countershock during CPR