Repeatability and reproducibility indices are often used in gait analysis to validate models and assess patients in their follow-up. When comparing joint kinematics, their interpretation can be ambiguous due to a lack of understanding of the exact sources of their variations. This paper studied four indices (Root Mean Square Deviation, Mean Absolute Variability, Coefficient of Multiple Correlat...

Error measures for the evaluation of forecasts are usually based on the size of the forecast errors. Common measures are e.g. the Mean Squared Error (MSE), the Mean Absolute Deviation (MAD) or the Mean Absolute Percentage Error (MAPE). Alternative measures for the comparison of forecasts are turning points or hits-and-misses, where an indicator loss function is used to decide, if a forecast is ...

This paper presents the development of a mathematical model for direct-expansion solar-assisted heat pump (DX-SAHP) operating in steady-state. The was implemented using scientific software EES and code written Python. It utilized lumped parameter exchangers semi-empirical compressor. validated experimental data DX-SAHP running with R134a. Two hundred simulations were made combining different co...

Experimental densities, viscosities, refractive indices, and sound speeds at temperature 298.15 K atmospheric pressure are reported for the binary liquid mixtures of ethanol + benzene, pyridine, benzene pyridine. From these experimental data, various thermodynamic excess deviation properties were calculated fitted by Redlich-Kister polynomial to determine adjustable coefficients standard deviat...

An approach to the Shannon and Rényi entropy maximization problems with constraints on the mean and law invariant deviation measure for a random variable has been developed. The approach is based on the representation of law invariant deviation measures through corresponding convex compact sets of nonnegative concave functions. A solution to the problem has been shown to have an alpha-concave d...

The state-of-the-art pooling strategies for perceptual image quality assessment (IQA) are based on the mean and the weighted mean. They are robust pooling strategies which usually provide a moderate to high performance for different IQAs. Recently, standard deviation (SD) pooling was also proposed. Although, this deviation pooling provides a very high performance for a few IQAs, its performance...