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Objective. To identify common components of inpatient general medicine advanced pharmacy practice experiences (APPEs) across sites, determine which components were important to standardize, and distin...
Real-world garbage collectors in managed languages are complex.We investigate whether this complexity is really necessary and show that by having a different (but wider) interface between the collecto...
This paper investigates spatial panel data models with a space-time …lter in disturbances. We consider their estimation by both …xed e¤ects and random e¤ects speci…cations. With a between equation pro...
Fixed pattern noise (FPN) for a CCD sensor is modeled as a sample of a spatial white noise process. This model is,however, not adequate for characterizing FPN in CMOS sensors, since the readout circui...
Wind energy, with an annual growth of about 30%, represents one of the fastest growing renewable energy sources. Continuous long-term monitoring of wind turbines can greatly reduce maintenance and rep...
Purpose: To apply the low-rank plus sparse (L+S) matrix decomposition model to reconstruct undersampled dynamic MRI as a superposition of background and dynamic components in various problems of clini...
Testing and verification are essential to safe and consistent products. Simulation is a widely accepted method used for verification and testing of distributed components. Generally, one of the major ...
Rigidity theory deals in problems of the following form: given a structure defined by geometric constraints on a set of objects, what information about its geometric behavior is implied by the underly...
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction models, in order to ...
In order to support our post-graduates, higher education professionals are often petitioned to provide concentrated training opportunities in specific skill development to our adult learners. The ques...
Principal components analysis (PCA) is a standard tool for identifying good low-dimensional approximations to data sets in high dimension. Many current data sets of interest contain private or sensiti...
Attention as a psychological characteristic could be described with additional behavioural and electrophysiological parameters. The purpose of this work was to investigate the relationship between att...
The paper examines the role of social capital in Czech agricultural sector. It is argued that social capital, just like economic capital, can be employed as a resource for the improvement of economic ...
In terms of the EU enlargement from 15 to 27 states, the need to reform the CAP mechanisms was felt more than ever. Reorientation towards rural development measures and not towards supporting agricult...
We propose and develop a novel and effective perfect sampling methodology for simulating from posteriors corresponding to mixtures with either known (fixed) or unknown number of components. For the la...

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