The paper reviews existing chronic heart failure (CHF) registers, a number of randomized trials, and meta-analyses on CHF. It provides a rationale for the need to create a CHF register in the Russian Federation, which will be able to assess the physician adherence to the guidelines for the guidelines for and the quality of medical care.

Breakfast is often considered the most important meal of the day and children and adolescents can benefit from breakfast consumption in several ways. The purpose of the present study was to describe trends in daily breakfast consumption (DBC) among adolescents across 31 countries participating in the HBSC survey between 2002 to 2010 and to identify socio-demographic (gender, family affluence an...

But what about high dimensions? What is the density of the points near the mean? And how far away is the average point from it’s component mean? Let us address this questions for a single isotropic Gaussian distribution. First, note that E[‖x‖] = nσ. Hence, on average, we expect a point to be rather far from mean, but let us quantify this. Recall, that the distribution of ‖x‖ is a χn distributi...

Network intrusion detection systems are an active area of research to identify threats that face computer networks. Network packets comprise of high dimensions which require huge effort to be examined effectively. As these dimensions contain some irrelevant features, they cause a high False Alarm Rate (FAR). In this paper, we propose a hybrid method as a feature selection, based on the central ...

INTRODUCTION This study answers the question: 'How far must a Canadian woman travel before the risk of a motor vehicle accident (MVA) outweighs the benefits of mammography screening?'. METHODS Numbers needed to screen and false positive rates were extracted from information in the breast screening guidelines from the Canadian Task Force on screening for breast cancer. Motor vehicle accidents ...

Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points are far away from the boundary of its training data, the network should not make any decision on these points. We propose a training scheme for MLPs which tries to achieve this. Our methodology trains a composite networ...

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