X-box binding protein -1(XBP-1)is a newly found protein that plays significant roles in protein folding and endoplasmic reticulum construction .The expression of XBP-1 is widely displayed in various kinds of tumor and is shown to take part in tumorigenesis and tumor progression .This review briefly summarizes the biology of XBP-1 and focuses on recent findings concerning its role in immune evasion ,tumorigenesis ,devel-opment of cancer ,angiogenesis ,hypoxia ,invasion and metastasis .

The purpose of this study is to investigate the basic situation of self-regulated learning among clinical medical undergraduates in the stage of professional courses and construct a structural model suitable for them to carry out self-regulated learning . Zimmerman's self-regulated learning concept framework was determined as the theoretical basis of this study. A questionnaire survey was performed to identify five main dimensions affecting self-regulated learning including expression of learning intention, self-efficacy, adjustment of learning behavior, management of curriculum strategies, and adaption of learning environment, and then, Amos 24.0 software was used to construct the structural model and draw the conclusion that self-regulated learning in this group centers on the regulation of learning behavior, with learning intention and self-efficacy as sub-centers.

To implement the strategy of healthy China and promote the construction of "new medicine science", it is urgent to focus on new needs and challenges to advance the reform of medical education curricula in China. Using literature research methods, we summarize the process of modern medical education curriculum reforms in the United States, and discuss the main features of the third-round reforms—introducing the concept of value-based medicine, offering health systems science courses, and promoting the curriculum system reform from the perspectives of learning time, curriculum integration, and learning methods. Based on these features, we put forward the enlightenment for the reform of medical education curricula in China.

Deep brain stimulation (DBS) surgery is an important treatment for patients with Parkinson's disease in the middle and late stages. The accuracy of the implantation of electrode at the location of the nuclei directly determines the therapeutic effect of the operation. At present, there is no single imaging method that can obtain images with electrodes, nuclei and their positional relationship. In addition, the subthalamic nucleus is small in size and the boundary is not obvious, so it cannot be directly segmented. In this paper, a complete end-to-end DBS effect evaluation pipeline was constructed using magnetic resonance (MR) data of T1, T2 and SWI weighted by DBS surgery. Firstly, the images of preoperative and postoperative patients are registered and normalized to the same coordinate space. Secondly, the patient map is obtained by non-rigid registration of brain map and preoperative data, as well as the preoperative nuclear cluster prediction position. Then, a three-dimensional (3D) image of the positional relationship between the electrode and the nucleus is obtained by using the electrode path in the postoperative image and the result of the nuclear segmentation. The 3D image is helpful for the evaluation of the postoperative effect of DBS and provides effective information for postoperative program control. After analysis, the algorithm can achieve a good registration between the patient's DBS surgical image and the brain map. The error between the algorithm and the expert evaluation of the physical coordinates of the center of the thalamus is (1.590 ± 1.063) mm. The problem of postoperative evaluation of the placement of DBS surgical electrodes is solved.
Brain Mapping ; methods ; Deep Brain Stimulation ; Electrodes, Implanted ; Humans ; Imaging, Three-Dimensional ; Magnetic Resonance Imaging ; Multimodal Imaging ; Parkinson Disease ; surgery ; Subthalamic Nucleus