Rong Qu

TL;DR: This paper presents the work on decomposing a specific nurse rostering problem by cyclically assigning blocks of shifts, which are designed considering both hard and soft constraints, to groups of nurses, and believes that the approach has the potential to be further extended to solve a wider range of nurse roStering problems.

TL;DR: In this article, a polarimetric SAR image classification method based on the depth direction wave network was proposed, which uses the direction filter as the filter of the convolution nerve network.

TL;DR: Zhang et al. as discussed by the authors proposed a target detection method based on a full convolutional neural network (FCN) to solve the problem of low accuracy and slow detection speed in the prior art.

TL;DR: The results demonstrate that baicalin can alleviate chronic CORT-induced depressive-like behaviors through promoting survival and maturation of adult-born hippocampal granule cells and exhibiting protective effect on hippocampal neuron morphology.

TL;DR: In this article, a high-resolution SAR image classification method based on a non-down-sampling contourlet full-convolution network is provided, which comprises: inputting a high resolution SAR image to be classified, performing multi-layer nondown sampling contourlets transform on each pixel in the image; obtaining the low-frequency coefficient and the high-frequency coefficients of each pixel; selecting and fusing the lowfrequency coefficients and highfrequency coefficients to form a pixel-based characteristic matrix F; normalizing the element values in the characteristic matrixF to obtain a