General estimating equation (GEE) for the prediction of the composite outcome (preeclampsia/GDM).

<p>General estimating equation (GEE) for the prediction of the composite outcome (preeclampsia/GDM).</p

Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of the GDM or preeclampsia composite.

<p>Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of the GDM or preeclampsia composite.</p

Outcome rates in patients with triglyceride level above and below 150 mg/dL.

<p>Outcome rates in patients with triglyceride level above and below 150 mg/dL.</p

Outcome rates in patients with HDL level above and below 50 mg/dL.

<p>Outcome rates in patients with HDL level above and below 50 mg/dL.</p

Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of the GDM or preeclampsia composite outcome.

<p>Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of the GDM or preeclampsia composite outcome.</p

On the significance of high spatial resolution to capture all relevant scales in the turbulent flow over periodic hills

Due to the complex nature of turbulence, the simulation of turbulent flows is still challenging and numerical models have to be further improved. For the validation of these numerical flow simulation methods reliable experimental data is essential as the simulation can only be more precise than the validation data but never be more accurate. However, for the correct numerical prediction of flows, the accuracy is the essential quantity. A typical test case is the flow over periodic hills. The numerical prediction is difficult, since flow separation and reattachment are not fixed in space and time due to the smooth geometry [10, 2]. Furthermore, the separated and fully three-dimensional flow from the previous hill impinges on the next hill, which will result in very complex turbulent flow features as shown in Fig. 1 on the left side. With the increasing computer performance available, it becomes possible to examine larger Reynolds numbers with DNS and LES. Typical grid sizes are in the order of several (3-10) Kolmogorov length scales h for LES and approach h for DNS [1]. The resolution of currently available measurements is in the order of 30 h (Re = 8,000) and above which is not sufficient to resolve the large gradients in the shear layer at the hill crest for instance. Even more severe, the contribution of the small eddies is averaged over a region associated with the measurement resolution. Thus an important part of the turbulent energy cannot be measured at all and is lost for the validation of turbulence models. Since these models are supposed to simulate the contribution of these small eddies it is of inherent interest to increase the resolution in the experiment. The aim of the current measurement campaign was therefore to increase the spatial resolution in order to study the resolution effect systematically and to provide an additional data set for the validation of numerical tools

Cox Regression Models for 1-Year Survival of ICU Patients.

<p>Landmark analysis of 28 day survivors, n = 5317.</p><p>SOFA, sequential organ failure assessment; DNR, do not resuscitate; ICU, intensive care unit; COPD, chronic obstructive pulmonary disease; CHF, congestive heart failure; DM, Diabetes Melitus; CRF, chronic renal failure.</p

One-year mortality in 28 days survivors of first admission (5,317 subjects) presented by LOcally wEighted Scatterplot Smoothing (LOESS) curves.

<p>One-year mortality in 28 days survivors of first admission (5,317 subjects) presented by LOcally wEighted Scatterplot Smoothing (LOESS) curves.</p

Clinical outcomes (n = 7265).

<p>LOS length of stay; ICU intensive care unit.</p

Baseline and hospitalization characteristics of ICU admissions, 2001–2008.

<p>All elderly admissions (n = 8916).</p><p>ICU, intensive care unit; COPD, chronic obstructive pulmonary disease,SOFA, sequential organ failure assessment; SAPS, simplified acute physiology score.</p