27,290 research outputs found

    The importance of screening in children who snore

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    It is important to screen for OSAS in children who snore, as early treatment of OSAS can prevent neurocognitive, behavioural, cardiovascular and metabolic consequences. Paediatricians should always investigate sleep habits and the possible presence of snoring, respiratory efforts or pauses during routine examination of children. These instruments may be effectively used to identify patients with OSAS, and the specificity and positive predictive value may be increased by adding other screening instruments such as nocturnal pulse oximetry [10]. The sleep questionnaires are instruments that can be used to screen patient candidates for a PSG study for suspected OSAS, and to identify those with a mild form of SDB, enabling early treatment

    Can potassium provide a tool for better cancer immunotherapy?

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    Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data

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    The classification of high dimensional data with kernel methods is considered in this article. Exploit- ing the emptiness property of high dimensional spaces, a kernel based on the Mahalanobis distance is proposed. The computation of the Mahalanobis distance requires the inversion of a covariance matrix. In high dimensional spaces, the estimated covariance matrix is ill-conditioned and its inversion is unstable or impossible. Using a parsimonious statistical model, namely the High Dimensional Discriminant Analysis model, the specific signal and noise subspaces are estimated for each considered class making the inverse of the class specific covariance matrix explicit and stable, leading to the definition of a parsimonious Mahalanobis kernel. A SVM based framework is used for selecting the hyperparameters of the parsimonious Mahalanobis kernel by optimizing the so-called radius-margin bound. Experimental results on three high dimensional data sets show that the proposed kernel is suitable for classifying high dimensional data, providing better classification accuracies than the conventional Gaussian kernel

    The genus of the configuration spaces for Artin groups of affine type

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    Let (W,S)(W,S) be a Coxeter system, SS finite, and let GWG_{W} be the associated Artin group. One has configuration spaces Y, YW,Y,\ Y_{W}, where GW=π1(YW),G_{W}=\pi_1(Y_{W}), and a natural WW-covering fW: YYW.f_{W}:\ Y\to Y_{W}. The Schwarz genus g(fW)g(f_{W}) is a natural topological invariant to consider. In this paper we generalize this result by computing the Schwarz genus for a class of Artin groups, which includes the affine-type Artin groups. Let K=K(W,S)K=K(W,S) be the simplicial scheme of all subsets JSJ\subset S such that the parabolic group WJ W_J is finite. We introduce the class of groups for which dim(K)dim(K) equals the homological dimension of K,K, and we show that g(fW)g(f_{W}) is always the maximum possible for such class of groups. For affine Artin groups, such maximum reduces to the rank of the group. In general, it is given by dim(XW)+1,dim(X_{W})+1, where XWYW X_{ W}\subset Y_{ W} is a well-known CWCW-complex which has the same homotopy type as YW. Y_{ W}.Comment: To appear in Atti Accad. Naz. Lincei Rend. Lincei Mat. App

    Social transfers and growth: The missing evidence from luminosity data

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    The effects of social transfers on growth are still unclear. The limitations of aggregated data at sub-national levels have confined the analysis to the use of simulation models and household surveys. As an alternative, this paper contributes to the empirical literature by assessing the effects of Colombia's Familias en Accion, a human development cash transfer programme, on municipality level growth rates during its initial stage of implementation between 2000 and 2004. The natural experiment that resulted from the scaling-up of the intervention facilitated the set-up of a difference-in-differences analysis. The lack of sub-national GDP accounts is tackled by using luminosity data generated by satellites orbiting the earth, which have demonstrated to be a suitable proxy for economic growth and per capita growth. The results show that the programme can generate large positive effects on municipality level economic growth rates. Robustness checks confirm the reliability of these findings

    Pilot study of vegetation in the Alchichica-Perote region by remote sensing

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    A study of the application of satellite images to the identification of vegetation in a small area corresponding to the arid zone of Veracruz and part of Puebla is presented. This study is accomplished by means of images from the LANDSAT satellite obtained on January 19 and May 23, 1973. The interpretation of the different maps is made on the basis of information from the data bank of the Flora de Veracruz program, and various surveys made by land and air
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