BACKGROUND The use of strategies to aid performance when undertaking neuropsychological tasks is dependent on intact fronto-striatal circuitry, and growing evidence suggests impaired spontaneous use of strategies in patients with obsessive-compulsive disorder (OCD). However, studies to date have not examined the effects of strategy training on task performance in OCD or in trichotillomania (com...

Abstract We present a subsampling strategy for the offline stage of Reduced Basis Method. The approach is aimed at bringing down considerable costs associated with using finely-sampled training set. proposed algorithm exploits potential pivoted QR decomposition and discrete empirical interpolation method to identify important parameter samples. It consists two stages. In first stage, we constru...

In this paper, we propose a novel training strategy named Feature Mining for convolutional neural networks (CNNs) that aims to strengthen the network’s learning of local features. Through experiments, found different parts feature contain semantics, while network will inevitably lose large amount information during feedforward propagation. order enhance features, divides complete into two compl...

The focus of this paper is on developing ways to evaluate teaching performance on a regular basis as a means of improving teaching effectiveness and increasing student learning in the classroom. In particular, this paper shows how an instructor-developed pretest, when given at the start of an introductory economics course as part of a preand post-test strategy, can be used as a diagnostic and d...