A sclerosing stromal tumor of the ovary (SST) is an extremely rare benign solid ovarian tumor,which is derived from the ovarian stroma and is a distinct subtype of sex cord-stromal tumor.It can not just be diagnosed accurately by routine preoperative physic-chemical examinations and postoperative immunohistochemical examinations.Recently,the application of fine needle aspiration cytology (FNAC) has improved diagnostic accuracy,but the final diagnosis relies on pathological examination.Compared with the traditional way of oophorectomy and salpingo-oophorectomy,the laparoscopic removal of SST will improve future success of pregancy.Besides,SST is an obvious endemic problem.Therefore,an increase in preoperative diagnosis rate of SST can avoid casual extension of resection during surgery and protect patients' fertility.

Objective To observe and compare the atomic force microscopy (AFM) images of Yersinia pestis EV76 and the changes in the morphology of the bacteria treated with normal serum and F1 antibody from rabbit,and to explore the immunoassay method to detect Yersinia pestis by AFM. Methods The Yersinia pestis were treated with normal serum and F1 antibody from rabbit and control buffer. All the prepared samples were observed and analyzed by AFM. The changes in the cell surface structures were probed and characterized through sectional analysis,especially the changes of Ra and Rq value. Results The normal morphology of Yersinia pestis was oval in shape with a relatively smooth surface, the size dimension of which was about 1.1-1.3 μm in length with a section profile of 0.8-1.0 μm in width and 0.04-0.06 μm in step height. The step height of the bacteria treated with the normal serum and F1 antibody was obviously enlarged. The shape of the bacteria treated with F1 antibody changed irregularly. Furthermore, the surface of the bacteria was more roughened. Conclusion The morphological characters of Yersinia pestis has been acquired through its AFM images. The morphology of Yersinia pestis treated with F1 antibody has changed greatly, and the index of roughness can be regarded as the distinguished index to detect Yersinia pestis by AFM.

BACKGROUND: Studying the relationship between flexibility and body composition of college students is of great significance for enhancing the levels of physical health and sports. OBJECTIVE: To investigate the relationship between sit-and-reach and body composition of college students in Guangxi Zhuang Autonomous Region and differences between sexes. METHODS: Totally 2 175 students from a Guangxi university were randomly selected. Body composition was determined by the MC-180 body composition tester. The students were divided into four groups: ≤ 12.10 cm group,＞ 12.10-16.40 cm group,＞ 16.40-20.70 group and＞ 20.70 group according to quartile of sit-and-reach measured in accordance with the National Physical Health Test Standard. All data were processed by SPSS 22.0 software. RESULTS AND CONCLUSION: Sit-and-reach was significantly correlated with body mass index, percentage of body fat, fat-free mass index, upper limb lean mass and lower limb lean mass (P ＜ 0.05), and percentage of body fat was negatively correlated with sit-and-reach (P ＜ 0.05). The body mass index, fat-free mass index, upper limb lean mass and lower limb lean mass in the ≤ 12.10 cm group were significantly lower than those in the other groups. Fat-free mass index and upper limb lean mass were correlated with sit-and-reach in male college students (P ＜ 0.05). The fat-free mass index and upper limb lean mass in the＞ 16.40-20.70 cm group were significantly higher than those in the ≤ 12.10 cm group. Therefore, there is a positive correlation between the flexibility and fat-free mass index and upper limb lean mass in college students.

Objective:To analyze the correlation between sleep midpoint and sleep quality in insomnia patients with type 2 diabetes mellitus (T2DM).Methods:By adopting current situation investigation research, total of 150 T2DM patients hospitalized in the Department of Endocrinology, the First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine from November 2021 to July 2022 were selected as the research objects. The general information questionnaire, Pittsburgh Sleep Quality Index (PSQI), anxiety scale (SAS) and Depression Scale (SDS) were used to investigate, and then analysis the datum.Results:Among 150 T2DM insomnia patients, 41 cases (27.33%) were in the early midpoint sleep group, 37 cases (24.67%) were in the middle midpoint sleep group, and 72 cases (48.00%) were in the late midpoint sleep group. There were significant differences in the distribution of sex, age and BMI level among different sleep midpoint groups ( χ2=7.24, 13.36, 15.93, all P<0.05). The scores of time to fall asleep at the midpoint of sleep in the 3 groups were (2.12 ± 1.25), (2.65 ± 0.79), (2.33 ± 1.02), the difference was significant ( F=2.14, P<0.05); the daytime disability scores in the 3 groups were (1.39 ± 1.36), (2.16 ± 1.12), (1.85 ± 1.32), the difference was significant ( F=3.17, P<0.05). Logistic regression analysis of disorder showed that the time to fall asleep ( OR=4.922, P<0.05) and daytime disability ( OR=4.043, P<0.05) had significant influence to the middle midpoint of sleep group when the early midpoint of sleep group as the control, while the male ( OR=2.182, P<0.05), 50 - 70 years old ( OR=5.005, P<0.05) and BMI over fat side ( OR=3.488, P<0.05) had significant influence to the late midpoint of sleep group. Conclusions:Medical staff should pay attention to the sleep quality of T2DM patients, pay attention to the sleep midpoint of patients, and improve patients′cognition of healthy sleep patterns.

Vision is an important way for human beings to interact with the outside world and obtain information. In order to research human visual behavior under different conditions, this paper uses a Gaussian mixture-hidden Markov model (GMM-HMM) to model the scanpath, and proposes a new model optimization method, time-shifting segmentation (TSS). The TSS method can highlight the characteristics of the time dimension in the scanpath, improve the pattern recognition results, and enhance the stability of the model. In this paper, a linear discriminant analysis (LDA) method is used for multi-dimensional feature pattern recognition to evaluates the rationality and the accuracy of the proposed model. Four sets of comparative trials were carried out for the model evaluation. The first group applied the GMM-HMM to model the scanpath, and the average accuracy of the classification could reach 0.507, which is greater than the opportunity probability of three classification (0.333). The second set of trial applied TSS method, and the mean accuracy of classification was raised to 0.610. The third group combined GMM-HMM with TSS method, and the mean accuracy of classification reached 0.602, which was more stable than the second model. Finally, comparing the model analysis results with the saccade amplitude (SA) characteristics analysis results, the modeling analysis method is much better than the basic information analysis method. Via analyzing the characteristics of three types of tasks, the results show that the free viewing task have higher specificity value and a higher sensitivity to the cued object search task. In summary, the application of GMM-HMM model has a good performance in scanpath pattern recognition, and the introduction of TSS method can enhance the difference of scanpath characteristics. Especially for the recognition of the scanpath of search-type tasks, the model has better advantages. And it also provides a new solution for a single state eye movement sequence.
Algorithms ; Discriminant Analysis ; Eye Movements ; Humans ; Markov Chains ; Normal Distribution ; Probability

Ardisia Crenata Radix is a traditional Chinese medicinal plant that belongs to the Myrsinaceae family,and its main active components are coumarins,saponins,flavonoids,and volatile oil.Bergenin,ardisicrenoside A,ardisicrenoside B,ardisiacripin A,ardisiacripin B,and embelin were identified as active anticancer compounds in in-depth studies into the anti-tumor effects of Ardisia Crenata Radix.They show high therapeutic potential in oral cancer,nasopharyngeal carcinoma,liver cancer,colon cancer,bladder cancer,cervical cancer,and leukemia,mainly by inducing tumor cell apoptosis,increasing tumor cytotoxicity,inhibiting cell proliferation,inhibiting tumor cell metastasis and migration,and inducing cell regulatory enzyme cascade reactions.However,most preclinical experimental data on cinnabar root's anti-tumor mechanism have not been verified in high-quality,multi-sample,and repeated randomized controlled trials,and there are a lack of clinical research data on tumor prognosis,pharmacodynamics,and pharmacokinetics.Accurate research experiments and clinical trials should be designed to further explore the pharmacological effects of Ardisia Crenata Radix.

Medulloblastoma (MB) is a common yet highly heterogeneous childhood malignant brain tumor, however, clinically effective molecular targeted therapy is lacking. Modulation of hedgehog (HH) signaling by epigenetically targeting the transcriptional factors GLI through bromodomain-containing protein 4 (BRD4) has recently spurred new interest as potential treatment of HH-driven MB. Through screening of current clinical BRD4 inhibitors for their inhibitory potency against glioma-associated oncogene homolog (GLI) protein, the BRD4 inhibitor