Continuous glucose monitoring (CGM) by suitable portable sensors plays a central role in the treatment of diabetes, a disease currently affecting more than 350 million people worldwide. Noninvasive CGM (NI-CGM), in particular, is appealing for reasons related to patient comfort (no needles are used) but challenging. NI-CGM prototypes exploiting multisensor approaches have been recently proposed...

This study proposes a new approach for identifying critical factors that affect mobile service diffusion. To this end, the Bass model and supplementary statistical method are adopted. Initially, the Bass model parameters are derived from monthly user data of mobile service and considered as dependent variables. Candidate factors of mobile services diffusion, collected from service description d...

Extended linear modeling provides a flexible framework for functional estimation problems with multiple covariates. Such problems include ordinary and generalized regression, density and conditional density estimation, hazard regression, spectral density estimation and polychotomous regression. In this paper, we develop a general theory on the rate of convergence of maximum likelihood estimatio...

The Internet has changed the way of traditional marketing propagation dramatically. Increasingly enterprises pay much attention on micro-blogging marketing and utilize it as a necessary tool of promotion. It has practical meaning for those enterprises analyzing the factors which influence the effect of micro-blogging marketing, therefore building better marketing strategies and enhancing the pr...

BACKGROUND General practice is stressful and burnout is common among family physicians. A growing body of evidence suggests that the way physicians relate to their patients could be linked to burnout. The goal of this study was to examine how patterns of empathy explained physicians' burnout. METHODS We surveyed 294 French general practitioners (response rate 39%), measured burnout, empathic ...

Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in statistical methods dedicated to detecting cerebral activation. We propose a new method for modeling the covariance of a stationary spatio-temporal random process and apply this approach to fMRI data analysis. For do...