In 2012, Mayo Clinic Health System (MCHS) had 13 different physician compensation models among its operating units, with most based on productivity metrics. MCHS aimed to transition all physicians to a single compensation model that would facilitate its integration with Mayo Clinic and promote physician engagement with emerging value-based payment models. The new model, which was implemented th...

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

Degree, which is the number of connections incident upon a node, measures the relative importance of the node within a network. By computing degree metrics in voxel-wise functional brain networks, many studies performed high-resolution mapping of brain network hubs using resting-state functional magnetic resonance imaging. Despite its extensive applications, defining nodes as voxels without con...

Formal specification of UML models in OCL is essential to improve software quality. Owing to the use of OCL in precise model specification, its application has been looked in different perspectives such as early measurement of module complexity. Moreover, when UML class diagrams are complemented with OCL, the metrics collected from OCL specification can serve as an indicator of fault-prone comp...

......Performance metrics are the foundation of experimental computer science and engineering. Researchers and engineers use quantitative metrics for assessing their new ideas and engineering progress. Obviously, adequate metrics are of primary importance to research progress, whereas inappropriate metrics can drive research and development in wrong or unfruitful directions. The recent trend to...

In the low observation noise limit particle filters become inefficient. In this paper a simple-to-implement particle filter is suggested as a solution to this well-known problem. The proposed Local Importance Sampling based particle filters draw the particles’ positions in a two-step process that makes use of both the dynamics of the system and the most recent observation. Experiments with the ...

Queueing for service occurs in technical applications as well as in common daily life, and scheduling should manage queues in a satisfactory way. Performance metrics are influenced by the service order, thus, scheduling policies should be designed with respect to the main performance metrics of interest. For human customers psychological effects and performance metrics other than delay play a c...

Energy-aware algorithms have proven to be a crucial part of sensor network applications, especially if they are required to operate for extended periods of time. Among these, efficient routing algorithms are of utter importance since their effect can be experienced by all other layers. Thus, the optimization and accurate prediction of the lifetime of the system can only be performed in the pres...

Streaming services seek to optimise their use of bandwidth across audio and visual channels to maximise the quality of experience for users. This letter evaluates whether objective quality metrics can predict the audio quality for music encoded at low bitrates by comparing objective predictions with results from listener tests. Three objective metrics were benchmarked: PEAQ, POLQA, and VISQOLAu...