Objective To review the development of the liver stem cell transplant for the liver regenerative treatment. Methods The transplantationrelated articles about the stem cell classification, repairing mechanisms, administration routes, and existing problems in the liver regenerative therapies reported in the latest literature were extensively reviewed. Results The related liverrepairing stem cells were found to be inside and outside the liver, i.e., the hepatic stem cells and the nonhepatic stem cells. They could repair the liver by the mechanism of the cell fusion or the celltransdifferentiation. The stem cells could be administrated via the portal vein. However, the application of the liver stem cell transplant was restricted by many related clinical problems. Conclusion Further studies are still needed for an improvement of the clinical feasibility for the stem cell transplantation, especially for the liver stem cell transplantation.
Speech imagery is an emerging brain-computer interface (BCI) paradigm with potential to provide effective communication for individuals with speech impairments. This study designed a Chinese speech imagery paradigm using three clinically relevant words—“Help me”, “Sit up” and “Turn over”—and collected electroencephalography (EEG) data from 15 healthy subjects. Based on the data, a Channel Attention Multi-Scale Convolutional Neural Network (CAM-Net) decoding algorithm was proposed, which combined multi-scale temporal convolutions with asymmetric spatial convolutions to extract multidimensional EEG features, and incorporated a channel attention mechanism along with a bidirectional long short-term memory network to perform channel weighting and capture temporal dependencies. Experimental results showed that CAM-Net achieved a classification accuracy of 48.54% in the three-class task, outperforming baseline models such as EEGNet and Deep ConvNet, and reached a highest accuracy of 64.17% in the binary classification between “Sit up” and “Turn over.” This work provides a promising approach for future Chinese speech imagery BCI research and applications.
Objective To explore method of jejunum nutrition tube implantation in total laparoscopic radical gastrectomy for distal gastric cancer (GC). Methods The clinical data of 30 patients with distal GC underwent the total laparoscopic radical gastrectomy from October 2017 to March 2018 in the Departmeng of Tumor Surgery, Lanzhou University Second Hospital were retrospectively analyzed, the total laparoscopic radical distal gastrectomy were performed in all the patients and the jejunum nutrition tube were implanted during the operation. Results Thirty patients with distal GC were successfully treated with the total laparoscopic radical gastrectomy and the jejunum nutrition tubes were implanted into under the total laparoscopy through the intraoperative guidance by the gastric tube, firstly fastening the nutrition tube to the gastric tube in vitro, and then separating them in vivo, finally the nutrition tube was smoothly implanted into the jejunum under the direct vision. The implantation time was 10 to 15 min with an average of 13.5 min. The jejunal nutrition tube retention time was 5 to 7 d with an average of 6 d. There were no complications such as the bleeding, anastomotic leakage, anastomotic obstruction, stenosis, intestinal leakage, intestinal obstruction, and other complications after the operation in the 30 patients. Conclusions Method of jejunum nutrition tube implantation in total laparoscopic radical gastrectomy for distal GC is easy to be performed. Intraoperative and postoperative complications are few. It provides a favorable guarantee for improving postoperative nutritional status of patient with distal GC.