To improve the accuracy of pulse matching and mapping quality lightning discharges, Pearson correlation method combined with empirical mode decomposition (EMD) is introduced for discharge electric field matching. This paper uses new to locate channels an intra-cloud (IC) flash a cloud-to-ground (CG) analyzes location results two flashes. The show that this has good performance in location. Comp...

Literature confirms the lack of any consistent approach by nurses to the assessment of cancer pain. This study represents an initial and limited experience on the application of pain documentation and pain assessment tools to improve cancer pain management. The study was based on research conducted by Faries et al. (1991) with modifications especially regarding the way of analyzing results. A g...

The stochastic solution to a diffusion equations with polynomial coefficients is called a Pearson diffusion. If the first time derivative is replaced by a Caputo fractional derivative of order less than one, the stochastic solution is called a fractional Pearson diffusion. This paper develops an explicit formula for the covariance function of a fractional Pearson diffusion in steady state, in t...

The data scientists usually define a data type based on a nature of variables and select an appropriate correlation measure. However, this is not convenient and very time-consuming in data intensive domains. I propose to detect the types of variables and choose the appropriate correlation coefficient in order to automate the statistical procedure of correlation estimating from mixed data. This ...

Collaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficient and the Cosine Similarity work quite well for explicit ratings, but do not capture real similarity from the ratings derived from implicit feedback. This paper identifies some problems t...