29 research outputs found

    Simultaneous Embeddings with Few Bends and Crossings

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    A simultaneous embedding with fixed edges (SEFE) of two planar graphs RR and BB is a pair of plane drawings of RR and BB that coincide when restricted to the common vertices and edges of RR and BB. We show that whenever RR and BB admit a SEFE, they also admit a SEFE in which every edge is a polygonal curve with few bends and every pair of edges has few crossings. Specifically: (1) if RR and BB are trees then one bend per edge and four crossings per edge pair suffice (and one bend per edge is sometimes necessary), (2) if RR is a planar graph and BB is a tree then six bends per edge and eight crossings per edge pair suffice, and (3) if RR and BB are planar graphs then six bends per edge and sixteen crossings per edge pair suffice. Our results improve on a paper by Grilli et al. (GD'14), which proves that nine bends per edge suffice, and on a paper by Chan et al. (GD'14), which proves that twenty-four crossings per edge pair suffice.Comment: Full version of the paper "Simultaneous Embeddings with Few Bends and Crossings" accepted at GD '1

    Einsatztaktische Aspekte der präklinischen Versorgung schwerstverletzter Kinder

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    Das geriatrische Polytrauma - erste Ergebnisse nach Trauma und Sepsis im Mausmodell

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    Das geriatrische Polytrauma - erste Ergebnisse nach Trauma und Sepsis im Mausmodell

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    DCO vs. ETC bei Kindern und Jugendlichen - welche Rolle spielt das Alter?

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    DCO vs. ETC bei Kindern und Jugendlichen - welche Rolle spielt das Alter?

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    mTICCS and its inter-rater reliability to predict the need for massive transfusion in severely injured patients

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    Purpose: The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). This easily applicable score was validated in a large trauma cohort and proven comparable to more established complex scoring systems. However, the inter-rater reliability of the mTICCS has not yet been investigated. Methods: Therefore, a dataset of 15 randomly selected and severely injured patients (ISS ≥ 16) derived from the database of a level I trauma centre (2010–2015) was used. Moreover, 15 severely injured subjects that received MT were chosen from the same databank. A web-based survey was sent to medical professionals working in the field of trauma care asking them to evaluate each patient using the mTICCS. Results: In total, 16 raters (9 residents and 7 specialists) completed the survey. Ratings from 15 medical professionals could be evaluated and led to an ICC of 0.7587 (95% Bootstrap confidence interval (BCI) 0.7149–0.8283). A comparison of working experience specific ICC (n = 7 specialists, ICC: 0.7558, BCI: 0.7076–0.8270; n = 8 residents, ICC: 0.7634, BCI: 0.7183–0.8335) showed no significant difference between the two groups (p = 0.67). Conclusion: In summary, reliability values need to be considered when making clinical decisions based on scoring systems. Due to its easy applicability and its almost perfect inter-rater reliability, even with non-specialists, the mTICCS might therefore be a useful tool to predict the early need for MT in multiple trauma. © 2020, The Author(s)
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