The present paper reports a pilot study which tested cognitive effects of mindfulness practice in a theory-driven approach. Thirty-four fifth graders received either a mindfulness training which was based on the mindfulness-based stress reduction approach (experimental group), a concentration training (active control group), or no treatment (passive control group). Based on the operational defi...

In 1964, Hayashi [8] defined and studied the notions of ?-dense in itself sets and ?-perfect subsets in ideal topological spaces. In 1999, Dontchev et al. [5] have studied the notion of Ideal resolvability through codense and completely codense ideal topological spaces. Recently, in the year 2004, Keskin, Noiri and Yuksel [12] have introduced and studied the concepts of fI -sets and fI -continu...

This work concerns the stress-state identification, produced by loads or dislocations, of statically indeterminate structures. In particular, this paper deals with the case of pin-jointed trusses, since they are a combination of simplicity of the structural model with very interesting technical applications. We present an approach that follows the main guidelines of the flexibility method to re...

With increasing number of wireless devices like laptops, Wi-Fi Web Cams, network extenders, etc., a new kind of problems appeared, mostly related to poor Wi-Fi throughput or communication problems. In this paper an investigation on wireless networks and it’s saturation in Vilnius City and its surrounding is presented, covering the main problems of wireless saturation and network load during day...

Prompt identification of structural damage is essential for effective postdisaster responses. To this end, paper proposes a deep neural network (DNN)–based framework to identify seismic based on response data recorded during an earthquake event. The DNN in the proposed constructed by Variational Autoencoder, which one self-supervised DNNs that can construct continuous latent space input learnin...

We derive sufficient conditions for the cross-correlation coefficient of a multivariate spatial process to vary with location when the spatial model is augmented with nugget effects. The derived class is valid for any choice of covariance functions, and yields substantial flexibility between multiple processes. The key is to identify the cross-correlation coefficient matrix with a contraction m...

Canonical Correlation Analysis (CCA) is a classical technique for two-view correlation analysis, while Probabilistic CCA (PCCA) provides a generative and more general viewpoint for this task. Recently, PCCA has been extended to bilinear cases for dealing with two-view matrices in order to preserve and exploit the matrix structures in PCCA. However, existing bilinear PCCAs impose restrictive mod...

The interest in the influence of videogame experience on our daily life is constantly growing. "First Person Shooter" (FPS) games require players to develop a flexible mindset to rapidly react to fast moving visual and auditory stimuli, and to switch back and forth between different subtasks. This study investigated whether and to which degree experience with such videogames generalizes to othe...

While brain research shows great potential for advancing critical national security interests, the products of the laboratory cannot be realized in operational practice without the polishing and maturing demanded by federal science and technology (S&T) acquisition processes, particularly those of the Department of Defense. Although many acquisition planning functions are relatively conventional...

A s the “baby boomers” approach and enter their retirement years, the accumulation phase of their life-cycle is nearly over. Thus, the focus of many researchers, fi nancial services fi rms, and public policymakers concerned with retirement saving is shifting from the accumulation of resources while working to the drawdown of resources during retirement. Retired households are dependent on the a...