Glutamine (Gln) is the most abundant free amino acids in the body, is the main substrate of intestinal cells. It exerts its repairing effect on intestinal injury through multiple signaling pathways, mainly reflected in maintaining the integrity of intestinal structure, enhancing the function of the intestinal barrier, improving the intestinal ecology, and promoting the absorption of nutrients. Therefore, it is also gradually popularized in the clinical application of intestinal injury. This summarize will summarize the latest research progress on the biological role of Gln, its relationship with intestinal injury, mechanism of action and clinical application.The main purpose of this summarize is intended to explore the research status and development prospects of Gln in the field of intestinal diseases.

The objective is to deal with brain effective connectivity among epilepsy electroencephalogram (EEG) signals recorded by use of depth electrodes in the cerebral cortex of patients suffering from refractory epilepsy during their epileptic seizures. The Wiener-Granger Causality Index (WGCI) is a well-known effective measure that can be useful to detect causal relations of interdependence in these kinds of EEG signals. It is based on the linear autoregressive model, and the issue of the estimation of the model parameters plays an important role in the calculation accuracy and robustness of WGCI to do research on brain effective connectivity. Focusing on this issue, a modified Akaike's information criterion algorithm is introduced in the computation of the WGCI to estimate the orders involved in the underlying models and in order to advance the performance of WGCI to detect brain effective connectivity. Experimental results support the interesting performance of the proposed algorithm to characterize the information flow both in a linear stochastic system and a physiology-based model.