In this paper we introduce a video-based representation for free viewpoint visualization and motion control of

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Background: At Eurotransplant (ET), kidneys are transferred to 'rescue allocation' (RA), whenever the standard allocation (SA) algorithms Eurotransplant kidney allocation system (ETKAS) and Eurotransplant senior program (ESP) fail. We analyzed the outcome of RA. Methods: Retrospective patient clinical and demographic characteristics association analyses with graft outcomes for 2,421 recipients of a deceased donor renal transplantation (DDRT) after RA versus 25,475 after SA from 71 centers across all ET countries from 2006 to 2018.Results: Numbers of DDRTs after RA increased over the time, especially in Germany. RA played a minor role in ESP vs. ETKAS (2.7% vs. 10.4%). RA recipients and donors were older compared to SA recipients and donors, cold ischemia times were longer, waiting times were shorter, and the incidence of primary non-function was comparable. Among ETKASrecipients, HLA matching was more favorable in SA (mean 3.7 vs. 2.5). In multivariate modeling, the incidence of death with a functioning graft (DwFG) in ETKAS was reduced in RA compared to SA (subdistribution hazard ratio 0.70, 95% confidence interval [0.60-0.81], p<0.001) whereas other outcomes (mortality, graft loss) were not significantly different. None of the three outcomes were significantly different when comparing RA with SA within the ESP program.Conclusions: Facing increased waiting times and mortality on dialysis due to donor shortage, this study reveals encouragingly positive DDRT outcomes following RA. This supports the extension of RA to more patients and as an alternative tool to enable transplantation in patients in countries with prohibitively long waiting times or at risk of deterioration.

Abstract. Target selection is a fundamental aspect of interaction and is particularly challenging when targets are moving. We address this problem by introducing a novel selection technique we call Hold which temporarily pauses the content while selection is in progress to provide a static target. By studying users, we evaluate our method against two others for acquiring moving targets in one and two dimensions with variations in target size and velocity. Results demonstrate that Hold outperforms traditional approaches in 2D for small or fast-moving targets. Additionally, we investigate a new model to describe acquisition of 2D moving targets based on Fitts' Law. We validate our novel 2D model for moving target selection empirically. This model has application in the development of acquisition techniques for moving targets in 2D encountered in domains such as hyperlinked video and video games.

The collaborative cross (CC) is a large panel of mouse-inbred lines derived from eight founder strains (NOD/ShiLtJ, NZO/ HILtJ, A/J, C57BL/6J, 129S1/SvImJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ). Here, we performed a comprehensive and comparative phenotyping screening to identify phenotypic differences and similarities between the eight founder strains. In total, more than 300 parameters including allergy, behavior, cardiovascular, clinical blood chemistry, dysmorphology, bone and cartilage, energy metabolism, eye and vision, immunology, lung function, neurology, nociception, and pathology were analyzed; in most traits from sixteen females and sixteen males. We identified over 270 parameters that were significantly different between strains. This study highlights the value of the founder and CC strains for phenotype-genotype associations of many genetic traits that are highly relevant to human diseases. All data described here are publicly available from the mouse phenome database for analyses and downloads.Jochen Graw: Retired. Electronic supplementary materialThe online version of this article (https ://doi.