Disparities in health care are of great concern, with much attention focused on the potential for unconscious (implicit) bias to play a role in this problem. Some initial studies have been conducted, but the empirical research has lagged. This article provides a research roadmap that spans investigations of the presence of implicit bias in health care settings, identification of mechanisms thro...

Abstract. A fed-batch fermentation process is examined in this paper for experimental and further dynamic optimization. The static optimization is developed for to be found out the optimal initial concentrations of the basic biochemical variables – biomass, substrate and substrate in the feeding solution. For the static optimization of the process the method of Dynamic programming is used. Afte...

In this paper the perturbation approach is used to investigate the analytical properties of the sensitivity to the initial conditions on the calibration and simulation results of two karst spring discharge reservoir models. The propagation of uncertainty in the initial conditions is shown to depend on both model structure and the values assumed by state variables at the beginning of simulation....

A novel bias correction technique is proposed based on the estimation of the parameters of a polynomial bias eld directly from image data. The procedure overcomes diiculties known from homomor-phic ltering or from techniques assuming an initial presegmented image. The only parameters are a set of expected class means and the standard deviation. Applications to various MR images illustrate the p...

The de-Sitter metric is a special form of the non-static Friedmann metric, and appears to be genuinely non-static since it describes the initial exponential expansion of the Big Bang universe. However, the de Sitter metric appears to be perfectly static in the Schwarzschild frame where the vacuum fluid is supposed to be in motion. Here we highlight the conflicts between the static and non-stati...

We propose a novel bias-free adaptive beamformer employing an affine projection algorithm with the optimal regularization parameter. The generalized sidelobe canceller affine projection algorithm suffers from a bias of a weight vectors under the condition of no reference signals for output of an array in the beamforming application. First, we analyze the bias in the algorithm and prove that the...

CACHE is a system supporting collaborative analysis tasks. We describe CACHE and a study of the effects of its use on reducing confirmation bias in analysis—the tendency to seek information that confirms rather than refutes an initial belief. We compare collaborative vs individual (Nominal) use of CACHE, as well as groups made of members with diverse (Heterogeneous) beliefs vs Homogeneous belie...

Tsunami observations play an important role in resolving offshore earthquake slip distributions. Non-dispersive models are often used with an initial static sea-surface pulse derived from seafloor deformation in computation of tsunami Green's functions. We compare this conventional approach with more advanced techniques, which use Green's functions computed by a dispersive model with an initial...

Attending college seems to be a profitable and affordable investment in the US. Nevertheless, a number of academically talented young people still hesitate to attend college. This puzzle motivates this paper to test for whether college education is a risky investment. To measure the riskiness of college attendance, I estimate the risk differential in earnings between college attendees and high ...