conclusions there was a significant correlation between crs and presence of h. pylori in sinonasal mucosa. this relationship may reflect the role of h. pylori as one of the pathogenic factors in the development of crs. however, further studies are required to confirm this role. results nine patients (18%) with crs had h. pylori isolated from their samples whereas in the control group, h. pylori...

Chronic rhinosinusitis (CRS) is a common disorder characterized by mucosal inflammation of the nose and paranasal sinuses with sinonasal symptoms persisting for greater than 12 weeks. The etiology of CRS is incompletely understood. Current understanding supports inflammation, rather than infection, as the dominant etiologic factor. CRS significantly impacts patients' quality of life and health ...

Chronic rhinosinusitis (CRS) is a relevant and prevalent medical condition in Germany, Europe and the world. If analysed in detail, the prevalence of CRS shows regional and temporary variety. In this review, currently available data regarding the prevalence of CRS is therefore sorted by country and/or region, time point of data collection and the CRS-definition employed. Risk factors like smoki...

Non parametric regression methods can be presented in two main clusters. The one of smoothing splines methods requiring positive kernels and the other one known as Nonparametric Kernel Regression allowing the use of non positive kernels such as the Epanechnikov kernel. We propose a generalization of the smoothing spline method to include kernels which are still symmetric but not positive semi d...

S U M M A R Y We show the numerical applicability of a multiresolution method based on harmonic splines on the 3-D ball which allows the regularized recovery of the harmonic part of the Earth’s mass density distribution out of different types of gravity data, for example, different radial derivatives of the potential, at various positions which need not be located on a common sphere. This appro...

We are interested in minimizing functionals with l2 data and gradient fitting term and l1 regularization term with higher order derivatives in a discrete setting. We examine the structure of the solution in 1d by reformulating the original problem into a contact problem which can be solved by dual optimization techniques. The solution turns out to be a ’smooth’ discrete polynomial spline whose ...

background and objective: chronic rhinosinusitis (crs) is one of the most common chronic diseases. in the past decades, there has been an increase in fungal infections of sinuses and fungal rhinosinusitis (frs) has been diagnosed more frequently. knowing the fungal flora and its prevalence in crs patients will allow a better understanding of this disease, permitting a correct diagnosis, treatme...

In this paper, we study convex optimization methods for computing the nuclear (or, trace) norm regularized least squares estimate in multivariate linear regression. The so-called factor estimation and selection (FES) method, recently proposed by Yuan et al. [25], conducts parameter estimation and factor selection simultaneously and have been shown to enjoy nice properties in both large and fini...

Regularized least-squares approaches have been successfully applied to linear system identification. Recent approaches use quadratic penalty terms on the unknown impulse response defined by stable spline kernels, which control model space complexity by leveraging regularity and bounded-input bounded-output stability. This paper extends linear system identification to a wide class of nonsmooth s...