introduction: considering the anticonvulsant effects of a1 adenosine receptors and the anatomical connections between pjriform cortex and amygdala, in this study, the role of a1 adenosine receptors activity of piriform cortex neurons on amygdala kindled seizures was investigated in rats. material and methods: the rats were fully kindled by daily electrical stimulation of amygdala. n6-cyclohexyl...

background: the aim of this study was to evaluate and compare the in vitro biofi lm forming capacity of enterococcus faecalis on gutta-percha points disinfected with four disinfectants. materials and methods: a total of 50 gutta-percha points used in this study were divided into four test groups based on disinfectant (5.25% sodium hypochlorite, 2% chlorhexidine gluconate, 20% neem, 13% benzalko...

Moreover, to further boost the device effi ciency, a resonant optical cavity can be created between the transparent thin Ag fi lm and an opaque back contact metal electrode, thus trapping light inside the active layer and enhancing its light absorption. [ 22 ] However, Ag follows 3D growth mode: during deposition, Ag atoms fi rst agglomerate into isolated islands, and as the deposition continue...

we develop a theory of stratified $lm$-filters which generalizes the theory of stratified $l$-filters. our stratification condition explicitly depends on a suitable mapping between the lattices $l$ and $m$. if $l$ and $m$ are identical and the mapping is the identity mapping, then we obtain the theory of stratified $l$-filters. based on the stratified $lm$-filters, a general theory of lattice-v...

We use natural gradient (NG) learning neural networks (NNs) for modeling and identifying nonlinear systems with memory. The nonlinear system is comprised of a discrete-time linear filter H followed by a zero-memory nonlinearity g(·). The NN model is composed of a linear adaptive filter Q followed by a two-layer memoryless nonlinear NN. A Kalman filter-based technique and a search-and-converge m...

In recent years, Computer Aided Design (CAD)based on Artificial Neural Networks (ANNs) have been introduced for microwave modeling simulation and optimization. In this paper, the characteristic parameters of Broadside Coupled Coplanar Waveguides (BSCCPWs) have been determined with the use of ANN model. Eight learning algorithms, Levenberg Marquart(LM), Bayesian Regularization (BR),Quasi–Newton ...

Equations of state are useful for description of fluid properties such as pressure-volumetemperature (PVT). However, the success estimation of such correlations depends mainly on the range of data which have originated. Therefore new models are highly required. In this work a new method is proposed based on Artificial Neural Network (ANN) for estimation of PVT properties of compounds. The data ...

This paper presents two innovative evolutionary-neural systems based on feed-forward and recurrent neural networks used for quantitative analysis. These systems have been applied for approximation of phenol concentration. Their performance was compared against the conventional methods of artificial intelligence (artificial neural networks, fuzzy logic and genetic algorithms). The proposed syste...