Pairing theory with methodology, this study demonstrates how EFL teachers’ limited wait-time practice structures in and affects the structuring of the unfolding classroom discourse with reference to learners’ participation opportunities. Informed by the tenets of conversation analysis, we have observed, videotaped, and transcribed line-by-line 10 EFL teachers’ naturally-occurring classroom inte...

When sufficient time-series images and training data are unavailable for crop classification, features extracted from convolutional neural network (CNN)-based representative learning may not provide useful information to discriminate crops with similar spectral characteristics, leading poor classification accuracy. In particular, limited input the main obstacles obtain reliable results early ma...

In this paper, we consider correlated queues where the service time of a packet is strongly correlated with its inter-arrival time due to the finite transmission capacity of input and output links. We present an analytical method to derive the LST (Laplace Stieltjes Transform) of the (actual) waiting time distribution and the system time distribution. To investigate the impact of such correlati...

in this paper, a new robust controller based on geometric homogeneity and adaptive integral sliding mode is proposed for a class of second order systems. the upper bound of the system disturbances is not required. fully unknown parameters have been considered in the described model and its finite–time convergence to zero equilibrium point is proved. moreover, the controller is developed in the ...

A one-dimensional simulation model that simulates daily mean soil temperature on a time-step basis, named AGRISOTES (AGRIcultural SOil TEmperature Simulation), is described. It considers ground coverage by biomass or snow layer and accounts for the freeze/thaw effect of water. The designed use agricultural land with limited (and mostly easily available) input data, estimating spatial patterns, ...