background: little is known about the effects of a low energy dense diet on weight maintenance and cardiovascular risks following a recent weight reduction. therefore, we assessed if weight maintenance, lipid profiles and glycemic control differ between low energy density diet and usual diet consumers following a recent weight reduction. method s: seventy patients with the history of weight red...

This contribution presents methods for detecting, estimating and reducing the effect of wind noise picked up by a dual microphone communication device. To discriminate the sound induced by the wind stream the complex coherence properties of the two microphone signals are exploited. Therefore, a coherence analysis of recorded signals is given. Based on the phase variance of the complex coherence...

aim: aim of present study was to review the effect of eight weeks aerobic training on visfatin total cholesterol and high density lipoprotein of middle age females. materials and methods: for these purpose 30 females (mean age 48/73±9/44 y, height 156/03±5/6 cm and weight 68/37±10/57 kg) who attend in odd day’s morning sport class of hejab gymnasium of shiraz city after fill health and informed...

We test the proposal by El-Zant et al. that the dark matter density of halos could be reduced through dynamical friction acting on heavy baryonic clumps in the early stages of galaxy formation. Using N body simulations, we confirm that the inner halo density cusp is flattened to 0.2 of the halo break radius by the settling of a single clump of mass ∼> 0.5% of the halo mass. We also find that an...

Data reduction algorithms determine a small data subset from a given large data set. In this article, new types of data reduction criteria, based on the concept of entropy, are first presented. These criteria can evaluate the data reduction performance in a sophisticated and comprehensive way. As a result, new data reduction procedures are developed. Using the newly introduced criteria, the pro...

Functional data analysis (FDA) deals with samples where a whole function is observed for each individual. A particular case is when the observed functions are densities, that is also an example of infinite dimensional compositional data. We focus on the dimensionality reduction problem for this particular type of data. Several methods are considered here: functional principal components analysi...

We give graphical rules, based on earlier work for the functional Schrödinger equation, for constructing the density matrix for scalar and gauge fields in equilibrium at finite temperature T . More useful is a dimensionally-reduced effective action (DREA) constructed from the density matrix by further functional integration over the arguments of the density matrix coupled to a source. The DREA ...