BACKGROUND On the one hand, stimulating the motor cortex at different spots may activate the same muscle and result in a muscle-specific cortical map. Maps of different muscles, which are functionally coupled, may present with a large overlap but may also show a relevant variability. On the other hand, stimulation of the motor cortex at one spot with different stimulation intensities results in...

In applications of differential geometry to problems of parametric inference, the notion of divergence is often used to measure the separation between two parametric densities. Among them, in this paper, we will verify measures such as Kullback-Leibler information, J-divergence, Hellinger distance, -Divergence, … and so on. Properties and results related to distance between probability d...

Dual-wing harmoniums is a promising technique for modeling the relationship between heterogeneous data sources, like associated text and images or genetic variations and observed traits. Unsatisfied with contrastive divergence (CD) and maximum likelihood learning, we implemented Bayesian learning in DWH using brief Langevin MCMC approach. We proposed three different types of priors for both inf...

the genetic variation and diversity among fifty-eight polyvoltine silkworm genotypes was estimated by using ten economic traits. the results revealed that the single shell weight showed higher genetic variation such as pcv% (17.20%), gcv% (12.93%), and heritability (56.5%) followed by single cocoon weight, shell ratio and matured larval weight. the d2 (mahalonobis? distance) statistics revealed...

This paper proposes a multi-grid method for learning energy-based generative ConvNet models of images. For each grid, we learn an energy-based probabilistic model where the energy function is defined by a bottom-up convolutional neural network (ConvNet or CNN). Learning such a model requires generating synthesized examples from the model. Within each iteration of our learning algorithm, for eac...

The goal of this study is to develop focal, accurate and robust finite element method (FEM) based approaches which can predict the electric potential on the surface of the computational domain given its structure and internal primary source current distribution. While conducting an EEG evaluation, the placement of source currents to the geometrically complex grey matter compartment is a challen...

Molecular barcoding can serve as a powerful tool in wildlife forensics and may prove to be a vital aid in conserving organisms that are threatened by illegal wildlife trade, such as turtles (Order Testudines). We produced cytochrome oxidase subunit one (COI) sequences (650 bp) for 174 turtle species and combined these with publicly available sequences for 50 species to produce a data set repres...

antibiotic resistance is an important problem in antibiotic treatment of infections, particularly in hospitals. tomatidine is a plant secondary metabolite with antimicrobial and antifungal effects. this study examined the possible synergistic effect tomatidine with several antibiotics against standard and clinical strains of staphylococcus aureus, enterococcus faecalis, pseudomonas aeruginosa a...

We studied two patients with a peculiar congenital disturbance of ocular motility in which the horizontal movements of the left eye were always opposite the normal expected direction. The common features were: (1) congenital monocular adduction palsy and exotropia of the left eye; (2) simultaneous abduction of both eyes (divergence) on attempted dextroversion; (3) ocular torticollis, head turne...

phenolic and flavonoid compounds are secondary metabolites of plants which possess various activities such as anti-inflammatory, analgesic, anti-diabetes and anticancer effects. it has been established that these compounds can scavenge free radicals produced in the body. because of this ability, not only the plants containing phenolic and flavonoid compounds but also, the pure compounds are use...