Neural networks have been widely used as predictive models to fit data distribution, and they could be implemented through learning a collection of samples. In many applications, however, the given dataset may contain noisy samples or outliers which may result in a poor learner model in terms of generalization. This paper contributes to a development of robust stochastic configuration networks ...

The stereokinetic effect (SKE) refers to a visual phenomenon in which a two-dimensional figure rotating in the fronto-parallel plane about the visual axis can create the impression of a three-dimensional (3-D) object. Although several characteristics of SKE suggest that the perceptual mechanisms involved in SKE may differ from those of the kinetic depth effect (KDE), the differences between SKE...

The principles of allelic exclusion state that each B cell expresses a single light and heavy chain pair. Here, we show that B cells with both kappa and lambda light chains (Igκ and Igλ) are enriched in some patients with the systemic autoimmune disease systemic lupus erythematosus (SLE), but not in the systemic autoimmune disease control granulomatosis with polyangiitis. Detection of dual Igκ ...

Após o fim da caça das baleias-francas, a interação com as atividades antrópicas, como atividade pesqueira, é uma principais ameaças à conservação desses animais no Sul do Brasil. De modo identificar potenciais áreas de interação, foram realizadas entrevistas pescadores artesanais ao longo Área Proteção Ambiental (APA Baleia-Franca) identificando pesqueira na unidade uso sustentável. Utilizando...

A comprehensive and accurate wind power forecast assists in reducing the operational risk of generation, improves safety stability system, maintains balance generation. Herein, a hybrid probabilistic density forecasting approach based on transformer network combined with expectile regression kernel estimation (Transformer-ER-KDE) is methodically established. The prediction results various level...

When nonlinear measures are estimated from sampled temporal signals with finite-length, a radius parameter must be carefully selected to avoid poor estimation. These generally derived the correlation integral, which quantifies probability of finding neighbors, i.e., pair points spaced by less than parameter. While each measure comes several specific empirical rules select value, we provide syst...

Abstract: Biological networks are often described as probabilistic graphs in the context of gene and protein sequence analysis in molecular biology. Microarrays and proteomics technologies facilitate the monitoring of expression levels over thousands of biological units over time. Several experimental efforts have appeared aiming to unveiling pairwise interactions, with many graphical models be...

An integrated computational method which couples classical molecular dynamics simulations with density functional theory calculations is used to simulate the solid-state NMR spectra of amorphous CaSiO(3). Two CaSiO(3) glass models are obtained by shell-model molecular dynamics simulations, successively relaxed at the GGA-PBE level of theory. The calculation of the NMR parameters (chemical shiel...

Control charts have been used effectively for years to monitor processes and detect abnormal behaviors. However, most control charts require a specific distribution to establish their control limits. The bootstrap method is a nonparametric technique that does not rely on the assumption of a parametric distribution of the observed data. Although the bootstrap technique has been used to develop u...

The stereokinetic effect (SKE) has been defined and studied by nested circular patterns rotating on a turntable. Circles must appear not to rotate as they revolve, which in turn results in their appearing to translate relative to one another. A powerful illusion of object depth results even though the individual circles do not undergo an appropriate foreshortening consistent with their apparent...