1,155 research outputs found

    Marktwert gegen Zufall - wer wird Fußball-Europameister?

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    Vor dem Beginn der Fußball Europameisterschaft (EM 2008) haben nur etwa ein Fünftel der befragten Erwachsenen geglaubt, dass das Auswahlteam des Deutschen Fußball Bundes (DFB) die Europameisterschaft gewinnen wird. Nach dem Auftaktsieg der DFB-Auswahl ist dieser Wert sofort gestiegen. Man sollte sich aber von den ersten Spielergebnissen eines solchen Turniers nicht zu sehr verwirren lassen und sich daran erinnern, dass das italienische Team 1982 Weltmeister wurde, nachdem es in der Vorrunde nur drei Unentschieden zustandebrachte und ganz knapp in die Finalrunde kam. Letztlich hat sich beim Zwei-zu-Null-Sieg der DFB-Mannschaft auch nur der Favorit durchgesetzt. Viele Experten haben das Team aus Deutschland stärker eingeschätzt als das aus Polen, und auch im "Marktwert" übertreffen die DFB-Auswahlspieler die polnischen deutlich. Insofern ist das Ergebnis nicht überraschend. Ebenso wenig wäre es überraschend, wenn eines der vom Marktwert her deutlich höher eingestuften Teams aus Frankreich, Italien oder Spanien Europameister würde.Service economy, Capital markets, Randomness in competition

    Yield of screening for atrial fibrillation in primary care with a hand-held, single-lead electrocardiogram device during influenza vaccination

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    Aims To assess the yield of screening for atrial fibrillation (AF) with a hand-held single-lead electrocardiogram (ECG) device during influenza vaccination in primary care in the Netherlands. Methods and results We used the MyDiagnostick to screen for AF in persons who participated in influenza vaccination sessions of ten Dutch primary care practices. In case of suspected AF detection by the stick, the recorded 1-min ECG registrations were analysed by a cardiologist. We scrutinized electronic medical files of the general practitioners to obtain information about the cases screened. Multivariable logistic regression analysis was performed to predict the relation between patient characteristics and a new screen-detected diagnosis of AF. In total, 3269 persons were screened for AF during the influenza vaccination sessions of 10 general practitioner practices. As a result, 37 (1.1%) new cases of AF were detected. Prior transient ischeamic attack or stroke (OR 6.05; 95%CI 1.93-19.0), and age (OR 1.09 per year; 95% CI 1.05-1.14) were independent predictors for such newly screen-detected AF. Of the 37 screen-detected AF cases, 2.7% had a CHA2DS2-VASc of 0, 18.9% a score of 1, and 78.4% a score of 2 or more. The majority needed oral anticoagulant therapy. Conclusions Screening seems feasible with an easy to use single-lead, hand-held ECG device with automatic AF detection during influenza vaccination in primary care and results in a '1-day' yield of 1.1% new cases of AF. Trial registration clinicaltrials.gov NCT02006524

    Relation between composition and vacant oxygen sites in the mixed ionicelectronic conductors La5.4W1 yMyO12 delta M Mo, Re; 0 lt; y lt; 0.2 and their mother compound La6 xWO12 delta 0.4 lt; x lt; 0.8

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    A detailed analysis of specimen composition, water uptake and their interrelationship in the systems La6 xWO12 amp; 948; 0.4 amp; 8804; x amp; 8804;0.8 and La6 xW1 yMyO12 amp; 948; 0 amp; 8804;y amp; 8804;0.2; M Mo, Re is presented. The three specimen series were investigated in dry and wet D2O conditions. A systematic trend in mass loss and onset temperature variation was observed in La6 xWO12 amp; 948; 0.4 amp; 8804;x amp; 8804;0.8 . Even very small amounts lt; 1 wt of secondary phases were found to notably modify the specimen s water uptake and onset temperature of mass loss. The theoretical model for vacancy concentration available was used to calculate the vacant oxygen sites starting from mass loss values determined by thermogravimetry. A discrepancy between the calculated and observed concentration of vacant oxygen sites is observed for all three systems. The effect of substitution of W by Re or Mo on the vacancy amount is explained taking into account diffraction measurements and information on the oxidation state of the substituting elements Mo and R

    Predictable Winners. Market Value, Inequality, Diversity, and Routine as Predictors of Success in European Soccer Leagues

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    Vermarktlichung und Globalisierung haben den Profifußball und die Zusammensetzung von Mannschaften fundamental verändert. Vor dem Hintergrund der veränderten Rahmenbedingungen untersucht der Beitrag, in welchem Maße (a) der Marktwert einer Mannschaft, (b) ihre interne Ungleichheit, (c) die kulturelle Diversität eines Teams sowie (d) der Grad der Fluktuation im Team über den sportlichen Erfolg in nationalen Meisterschaften entscheiden. Die empirische Analyse bezieht sich für die Spielsaison 2012/13 auf die zwölf leistungsstärksten nationalen Fußball-Ligen Europas. Die Ergebnisse zeigen, dass der Ausgang von nationalen Fußballmeisterschaften auf der Basis unserer Hypothesen sehr gut vorausgesagt werden kann; fast alle unsere Hypothesen werden bestätigt. Dem Marktwert der Mannschaften kommt dabei die mit deutlichem Abstand wichtigste Rolle in der Prognose ihres Erfolgs zu.Marketization and globalization have changed professional soccer and the composition of soccer teams fundamentally. Against the background of these shifting conditions this paper investigates the extent to which the success of soccer teams in their national leagues is determined by (a) the monetary value of the team expressed in its market value, (b) inequality within the team, (c) the cultural diversity of the team, and (d) the degree of turnover among team members. The empirical analyses refer to the soccer season 2012/13 and include the twelve most important European soccer leagues. The findings demonstrate that success in a national soccer championship is highly predictable; nearly all of our hypotheses are confirmed. The market value of the team is, in today's world, by far the most important single predictor of athletic success in professional soccer

    Low-Cost Three-Dimensional Modeling of Crop Plants

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    Plant modeling can provide a more detailed overview regarding the basis of plant development throughout the life cycle. Three-dimensional processing algorithms are rapidly expanding in plant phenotyping programmes and in decision-making for agronomic management. Several methods have already been tested, but for practical implementations the trade-off between equipment cost, computational resources needed and the fidelity and accuracy in the reconstruction of the end-details needs to be assessed and quantified. This study examined the suitability of two low-cost systems for plant reconstruction. A low-cost Structure from Motion (SfM) technique was used to create 3D models for plant crop reconstruction. In the second method, an acquisition and reconstruction algorithm using an RGB-Depth Kinect v2 sensor was tested following a similar image acquisition procedure. The information was processed to create a dense point cloud, which allowed the creation of a 3D-polygon mesh representing every scanned plant. The selected crop plants corresponded to three different crops (maize, sugar beet and sunflower) that have structural and biological differences. The parameters measured from the model were validated with ground truth data of plant height, leaf area index and plant dry biomass using regression methods. The results showed strong consistency with good correlations between the calculated values in the models and the ground truth information. Although, the values obtained were always accurately estimated, differences between the methods and among the crops were found. The SfM method showed a slightly better result with regard to the reconstruction the end-details and the accuracy of the height estimation. Although the use of the processing algorithm is relatively fast, the use of RGB-D information is faster during the creation of the 3D models. Thus, both methods demonstrated robust results and provided great potential for use in both for indoor and outdoor scenarios. Consequently, these low-cost systems for 3D modeling are suitable for several situations where there is a need for model generation and also provide a favourable time-cost relationship

    Synthesis and Raman micro-spectroscopy investigation of Li7La3Zr2O12

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    The Li+ ion conductor Li7La3Zr2O12 was synthesized by solid state reaction as a ceramic with tetragonal and cubic crystal structure. The synthesis parameterswere varied for these polycrystalline samples, e.g. the starting materials for Li and Zr, the cruciblematerials and the thermal treatments. Product formation is sensitive to the ZrO2 starting powder aswell as the crucible material due to reactions between the powdermixture and the cruciblewall. In this study, only the use of an alumina crucible or the addition of alumina resulted in the successful preparation of cubic Li7La3Zr2O12. For single-crystal preparation, flux growth experiments were carried out at 1000 and 1200 \ub0C either in alumina crucibles lined with a gold foil or in magnesia crucibles and using Li2CO3 (Li2O) as flux. The small crystals were separated from the solidified flux by washing larger lumps in water. Irrespective of the additions of alumina, only tetragonal micro-crystals of Li7La3Zr2O12 were obtained. These micro-crystals were studied by micro-Raman scattering spectroscopy. Polarized Raman spectra were recorded either in nearly backscattering or 90\ub0 geometry. The majority of Raman modes expected for the tetragonal phase (space group I41/acd, Z=8) were satisfactorily displayed. So far, it has not been possible to make unambiguous symmetry assignments of the observed peaks because of the unknown orientation of the micro-crystals

    Using observed incidence to calibrate the transmission level of a mathematical model for Plasmodium vivax dynamics including case management and importation

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    In this work, we present a simple and flexible model for Plasmodium vivax dynamics which can be easily combined with routinely collected data on local and imported case counts to quantify transmission intensity and simulate control strategies. This model extends the model from White et al. (2016) by including case management interventions targeting liver-stage or blood-stage parasites, as well as imported infections. The endemic steady state of the model is used to derive a relationship between the observed incidence and the transmission rate in order to calculate reproduction numbers and simulate intervention scenarios. To illustrate its potential applications, the model is used to calculate local reproduction numbers in Panama and identify areas of sustained malaria transmission that should be targeted by control interventions
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