We propose a method that we call auto-adaptive convolution which extends the classical notion of convolution in pictures analysis to function analysis on a discrete set. We define an averaging kernel which takes into account the local geometry of a discrete shape and adapts itself to the curvature. Its defining property is to be local and to follow a normal law on discrete lines of any slope. W...

BACKGROUND Diagnosing peanut allergy properly is important and can be achieved by combining clinical history with various diagnostic methods such as IgE-antibody (IgE-ab) measurements, skin-prick test, basophil allergen threshold sensitivity (CD-sens) and food challenge. We aimed to evaluate CD-sens to peanut, Ara h 8 and Gly m 4 in relation to an oral peanut challenge in children IgE-sensitize...

BACKGROUND Double-blind placebo-controlled food challenge, DBPCFC, the gold standard for diagnosing food allergy, is time-consuming and potentially dangerous. A basophil allergen threshold sensitivity test, CD-sens, has shown promising results as a diagnostic tool in food allergy. OBJECTIVES To evaluate the reproducibility of oral peanut challenge and compare the outcome to CD-sens in peanut-...

The Cramer-Rao Bound (CRB) analysis shows that ultra-wideband (UWB) technique can provide precise timing and positioning, thanks to its huge bandwidth. In this paper, we apply the UWB signal for the energy detection based time-of-arrival (ToA) estimation. We analyze the mistiming performance of the ToA estimator in a general Nakagamim channel. Analysis shows that the slope of the probability of...

Saving and investment are I(1) processes and generally do not cointegrate. This suggests the need for a nonstationary panel methodology to estimate the long run saving-investment association. We reconsider the Feldstein-Horioka puzzle using a mean group procedure which provides consistent estimates for nonstationary, heterogeneous panels. The resultant slope coe¢cient estimate for 12 OECD econo...

Let be a random sample from a normal distribution with unknown mean and known variance The usual estimator of the mean, i.e., sample mean is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an interval, say for some In this case, the maximum likelihood estimator...

Leaf Area Index (LAI) is a key variable that bridges remote sensing observations to the quantification of agroecosystem processes. In this study, we assessed the universality of the relationships between crop LAI and remotely sensed Vegetation Indices (VIs). We first compiled a global dataset of 1459 in situ quality-controlled crop LAI measurements and collected Landsat satellite images to deri...