BACKGROUND: Although the environment of college students is relatively safe, they are faced with the pressure of study, interpersonal relationship, and even future employment, which leads to a variety of psychological disorders, among which stress response is the most common one. As a new concept of healthy self, it is not clear how self - compassion affects students’ stress response. OBJECTIVE: This study aimed to analyze the role of students’ self-compassion based on chronic stress response in negative emotional regulation and coping style selection caused by external pressure, and to provide a theoretical basis for the application of self-compassion in regulating individual emotions in the future. METHODS: The 427 students from many universities in China who have applied for the 2020 postgraduate entrance examination and were preparing for the examination were classified into S1 group (preparation time <  2 months), S2 group (2 months <  5 months), and S3 group (preparation time >  5 months). The students who didn’t apply for the examination were set as D0 control group. The total stress response score, learning pressure, and positive and negative emotional scores of each group were compared. The Bootstrapping sampling method was used to examine the mediating effect of self - compassion. The students applying for the examination were classified into high-level self-compassion group (G1) and low-level self-compassion group (G2). RESULTS: The scores of learning stress and negative emotion in S1, S2, and S3 groups were significantly higher than those in D0 group, and S1 >  S2 >  S3 (P <  0.05). The proportion of students in G1 group who responded to review setbacks in a mature way was significantly higher than that in G2 group, and the proportion of immature type was significantly lower than that of G2 group (P <  0.05). There was a very significant positive correlation between self-compassion and problem solving and asking for help (P <  0.001). CONCLUSIONS: Self-compassion concept can reduce students’ negative emotions facing external pressure and protect individual positive emotions. In conclusion, faced at external pressure and stress, individuals with high self-esteem would not escape from their own negative emotions, and were more inclined to choose a positive way to solve problems and seek help from others.

We report the case of a 13-year-old boy who presented with deafness due to a posterior fossa cystic lesion which was surgically excised. Histological examination showed it to be an enterogenous cyst. These extremely rare lesions seldom occur within the neural axis.

Objective: The objective of this study is to analyze the diagnostic value of transvaginal sonography (TVS), magnetic resonance imaging (MRI) and their combination in patients with deep invasive endometriosis (DIE) in pelvic cavity. Method: In this study, 235 patients with DIE were selected as the study objects, and the lesion location of the patients was determined by TVS, MRI, and combined examination before surgery. According to the actual situation of the patient, laparoscopic or open surgery was performed to remove the lesion tissue, which was regarded as the gold standard. The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of TVS, MRI, and combined diagnosis were compared. In addition, Kappa test was adopted to compare the consistency between different diagnostic methods and the gold standard. Results: The total Se of the DIE detected by THV was 91.61%, and the Sp was 90.74%. The total Se of DIE detected by MRI was 95.76%, and the Sp was 92.07%. The total Se of DIE detected by THV combined with MRI was 96.47%, and the Sp was 93.41%. The LR– value of DIE detected by TVS was 0.21, the LR– value detected by MRI was 0.18, and the LR– value detected by combined detection was 0.13. The κ coefficient of DIE detected by TVS was 0.70, the κ coefficient detected by MRI was 0.73, and the κ coefficient by combined detection was 0.79. Conclusion: TVS combined with MRI to detect DIE has a higher sensitivity and specificity, a higher positive detection rate, and a higher consistency with the diagnostic results of gold standard.

Objective: To identify and classify the B-mode ultrasound images by utilizing the elastic algorithm of wavelet packet decomposition (WPD) and Bayesian belief network (BBN), thereby increasing the cure rate of cirrhosis by interfering the compensatory nursing for cirrhosis patients who were previously infected with hepatitis B virus (HBV). Method: First, the WPD-based elastic feature extraction algorithm (FEA), the texture FEA, the time series-based energy spectrum FEA, and the BBN are introduced. Also, the statistical feature distribution of the five fitting parameters is analyzed. Based on these three FEAs, the classification and recognition experiments of normal liver samples and liver cirrhosis samples are compared to complete the grayscale imaging of B ultrasound images. To further improve the accuracy of imaging, these elastic new features are used to build a BBN model, and the output posterior probability is used as a new parameter to realize liver ultrasound B-mode imaging. Results: Among all the classification models, the recognition rates based on the elastic new features are the highest. Especially, the average recognition rate of elastic features under random forest has reached 95%. The elastic parameters extracted from radio frequency (RF) signals obtained by conventional ultrasound diagnostic instruments are used for elastography, which can characterize the elastic information of liver tissue. Based on the elastic features, a BBN model is constructed. The pseudo-color coding of the output posterior probability of the model can characterize the stiffness of liver tissue. Also, its new parameter elastography intuitively displays the elastic information of liver tissue. Conclusion: The proposed elastic FEA of WPD and BBN have an excellent ability to identify and classify ultrasound images of cirrhosis, which can be applied in the clinical diagnosis of cirrhosis, as well as the compensatory nursing for patients with post-HBV cirrhosis.