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The present paper deals with overtopping prediction for berm breakwaters in line the EurOtop methodology. basis is recent advances proposed conventional respect to influence of wave steepness and crest width. New model tests have been performed investigate applicability these factors breakwaters. To cover a white spot existing data breakwaters, included conditions very low steepness. results sh...

Talking silently to ourselves occupies much of our mental lives, yet the mechanisms underlying this experience remain unclear. The following experiments provide behavioral evidence that the auditory content of inner speech is provided by corollary discharge. Corollary discharge is the motor system's prediction of the sensory consequences of its actions. This prediction can bias perception of ot...

introduction: the aim of this study was to determine the performance of data mining techniques for predicting the causes of traumatic brain injuries in khatamolanbya hospital, zahdan city. method: in this cross–sectional, the study population included all patients who died of brain injury. data were collected by the use of a researcher- made check list, provided under the direct observation of ...

In this work, the dry reforming of methane was studied using a corona and gliding discharge plasma microreactors. A chemical kinetic model was developed to describe the experimental behavior observed. The kinetic model is proposed based on the assumption that the reactant molecules CH4 or CO2 are attacked by active species produced b...

Prediction of highly non linear behavior of suspended sediment flow in rivers has prime importance in the field of water resources engineering. In this study the predictive performance of two Artificial Neural Networks (ANNs) namely, the Radial Basis Function (RBF) Network and the Multi Layer Feed Forward (MLFF) Network have been compared. Time series data of daily suspended sediment discharge ...