BackgroundThe occurrence rate of dangerous behaviors in patients with severe mental disorders is higher than that of the general population. In China， there is limited research on the prediction of dangerous behaviors in community-dwelling patients with severe mental disorders， particularly in terms of predicting models using data mining techniques other than traditional methods. ObjectiveTo explore the influencing factors of dangerous behaviors in community-dwelling patients with severe mental disorders and testing whether the classification decision tree model is superior to the Logistic regression model. MethodsA total of 11 484 community-dwelling patients with severe mental disorders who had complete follow-up records from 2013 to 2022 were selected on December 2023. The data were divided into a training set （n=9 186） and a testing set （n=2 298） in an 8∶2 ratio. Logistic regression and classification decision trees were separately used to establish predictive models in the training set. Model discrimination and calibration were evaluated in the testing set. ResultsDuring the follow-up period， 1 115 cases （9.71%） exhibited dangerous behaviors. Logistic regression results showed that urban residence， poverty， guardianship， intellectual disability， history of dangerous behaviors， impaired insight and positive symptoms were risk factors for dangerous behaviors （OR=1.778， 1.459， 2.719， 1.483， 3.890， 1.423， 2.528， 2.124， P<0.01）. Being aged ≥60 years， educated， not requiring prescribed medication and having normal social functioning were protective factors for dangerous behaviors （OR=0.594， 0.824， 0.422， 0.719， P<0.05 or 0.01）. The predictive effect in the testing set showed an area under curve （AUC） of 0.729 （95% CI： 0.692~0.766）， accuracy of 70.97%， sensitivity of 59.71%， and specificity of 72.05%. The classification decision tree results showed that past dangerous situations， positive symptoms， overall social functioning score， economic status， insight， household registration， disability status and age were the influencing factors for dangerous behaviors. The predictive effect in the testing set showed an AUC of 0.721 （95% CI： 0.705~0.737）， accuracy of 68.28%， sensitivity of 64.46%， and specificity of 68.60%. ConclusionThe classification decision tree does not have a greater advantage over the logistic regression model in predicting the risk of dangerous behaviors in patients with severe mental disorders in the community. ［Funded by Chengdu Medical Research Project （number， 2020052）］

There are many kinds of zirconia repair materials that have been introduced at home and abroad.Mechanical and aesthetic properties are the important factors for selecting zirconia materials.The process of diagnosis and treatment by dentists and the production by the workers in laboratory affect the final repair effects.To achieve accurate and efficient simulation of dental repair and treatment,effective cooperation between dentists and technicians is required.In this paper,the factors affecting mechanical and aes-thetic properties in the process of material selection,tooth wearing,restoration design and fabrication,concerning zirconia veneer,sin-gle-crown,fixed bridge and edentulous jaw implant fixed repair were discussed and summarized.The common failure reasons were ana-lyzed in order to improve the communication efficiency between dentists and technicians in the process of zirconia repair system and to a-chieve better repair effects.

ObjectiveTo analyze the polarized light microscopic characteristics， the composition of physical phases and their relative contents of Maifanitum from different origins， and to establish the Fourier characteristic fingerprint of Maifanitum powder crystals by X-ray diffraction（XRD）. MethodA total of 26 batches of Maifanitum samples were selected， and the microscopic characteristics of the sample powders and grinding flakes were observed by polarized light microscopy under single polarized light and orthogonal polarized light， and the main phase compositions and their relative contents were analyzed by powder crystal XRD technique， and the XRD Fourier characteristic fingerprint of Maifanitum was established. The incident light source of XRD was Cu target Kβ radiation， the light tube voltage and light tube current were 40 kV and 40 mA， respectively， the divergence slit was 1°， the scattering slit was 1°， the receiving slit was 0.2 mm， the scanning speed was 5°·min^-1 with continuous scanning and scanning range of 5-90°（2θ）， and the step length was 0.02°. ResultThe polarized light micrographs of powders and grinding flakes of Maifanitum were obtained， and the main phases were plagioclase， potassium feldspar and quartz， and a few samples also contained illite， pyrite， iron dolomite， calcite， iron amphibole and chlorite， etc. The relative total content of feldspar phases was 61.9%-82.4%， and the relative content of quartz was 12.6%-33.6%. The XRD Fourier fingerprint analysis method of Maifanitum with 13 common peaks as the characteristic fingerprint information was established， and the similarity calculated by the mean correlation coefficient method was 0.920 9-0.997 7， the similarity calculated by the mean angle cosine method was 0.940 5-0.998 4， the similarity calculated by the median correlation coefficient method was 0.921 1-0.997 5， and the similarity calculated by the median angle cosine method was 0.947 5-0.998 2. ConclusionThe polarized light microscopic identification characteristics of Maifanitum are mainly plagioclase， quartz and potassium feldspar， and the technique of powder crystal XRD Fourier fingerprint analysis can be used for the identification of Maifanitum.

Objective:To create radiomics models based on abbreviated multimodal magnetic resonance imaging (MRI) for the diagnosis of breast cancer.Methods:All breast MR imaging data between Jun 2014 and Mar 2019 were retrospectively collected. Patients with pathological results of puncture or surgical resection were involved in this study. One thousand three hundred and six patients (416 benign and 890 breast cancer) were divided into training cohort ( n=702), internal validation cohort ( n=302), and external validation cohort ( n=302). All images were reduced to: the joint model group [including T2 weighted imaging (T2WI), DWI (diffusion-weighted imaging) and first contrast-enhanced sequences], non-enhanced group (T2WI and DWI) and single-phase enhanced group (first contrast-enhanced sequences). Analysis of variance (ANOVA) and least absolute shrinkage and selection operator (LASSO) were used to reduce the dimension of texture features. Three supervised machine learning algorithms (Bagging decision tree, Gaussian process, support vector machine) were used to predict benign and malignant breast lesions, and the best classifier was selected to construct breast cancer diagnosis model. Models were validated by internal and external validation cohorts. Results:The Gaussian process algorithm was chosen. The area under the curve (AUC) of the joint model and the non-enhanced model for predicting breast cancer were 0.903 and 0.893 for the training cohort, 0.893 and 0.863 for the internal validation cohort, and 0.878 and 0.864 for the external validation cohort.Conclusions:The radiomics model based on abbreviated multimodal MRI can accurately diagnose breast cancer. And the non-enhanced model can accurately diagnose breast cancer without contrast enhancement, which provides feasibility for simplifying the diagnosis process.

PEP06 is a novel endostatin-Arg-Gly-Asp-Arg-Gly-Asp(RGDRGD)30-amino-acid polypeptide featuring a terminally fused RGDRGD hexapeptide at the N terminus.The active endostatin fragment of PEPO6 directly targets tumor cells and exerts an antitumoral effect.However,little is known about the kinetics and degradation products of PEP06 in vitro or in vivo.In this study,we investigated the in vitro metabolic stability of PEP06 after it was incubated with living cells obtained from animals of different species;we further identified the degradation characteristics of its cleavage products.PEP06 underwent rapid enzymatic degradation in multiple types of living cells,and the liver,kidney,and blood play important roles in the metabolism and clearance of the peptides resulting from the molecular degradation of PEP06.We identified metabolites of PEP06 using full-scan mass spectrometry(MS)and tandem MS(MS2),wherein 43 metabolites were characterized and identified as the degradation metabolites from the parent peptide,formed by successive losses of amino acids.The metabolites were C and N terminal truncated products of PEP06.The structures of 11 metabolites(M6,M7,M16,M17,M21,M25,M33,M34,M39,M40,and M42)were further confirmed by comparing the retention times of similar full MS spectrum and MS2 spectrum information with reference standards for the synthesized metabolites.We have demonstrated the metabolic stability of PEP06 in vitro and identified a series of potentially bioactive downstream metabolites of PEP06,which can support further drug research.

Coupling sugar is a kind of new sweetener which can substitute sucrose. It has a good application prospect in food, medicine and other fields because of its good coloration, water retention and anti caries. The purpose of this study was to find cheap and easily available donor and acceptor, and to optimize the preparation process of coupling sugar by using β-cyclodextrin glycosyltransferase from Bacilluscirculans 251. Using sucrose as acceptor, the factors of preparing coupling sugar was optimized, including enzyme dosage, starch types, temperature, pH, ratio of starch/sucrose, and cooperation of isoamylase and β-CGTase. When 105 g/L potato starch and 95 g/L sucrose was used as substrates, the yield of coupling sugar reached 88.4%, which was catalyzed by 13.5 U/g immobilized β-CGTase and 45.0 U/g isoamylase under the conditions of pH 5.5 and 40 °C for 21 h. In this study, isoamylase and β-CGTase were used to prepare coupling sugar innovatively. This method had obvious advantages in yield and cost, which laid both theoretical and experimental foundation for the industrial enzymatic preparation of coupling sugars.
Glucosyltransferases ; Hydrogen-Ion Concentration ; Isoamylase ; Starch

OBJECTIVE：To e stablish and compare HPLC fingerprints of green Forsythia suspensa and grown F. suspensa ，and to conduct cluster analysis and principle component analysis. METHODS ：HPLC method was adopted. The determination was performed on Hypersil C 18 column with mobile phase consisted of acetonitrile- 0.1％ formic acid （gradient elution ）. The detection wavelength was 235 nm and column temperature was 25 ℃ with the flow rate of 1.0 mL/min. The sample size was 10 μL. HPLC fingerprints of 8 batches of green F. suspensa （Q1-Q8）and 6 batches of grown F. suspensa （L1-L6）were drawn ，with phillyrin as reference；the similarity evaluation was conducted by using Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition），and common peak was confirmed. Cluster analysis and principal component analysis were carried out with SPSS 23.0 software. RESULTS ：There were 19 common peaks for green F. suspensa and grown F. suspensa ，among which 6 peaks were identified，i.e. forsythoside A ，rutin，pinoresinol-β-D-glucoside，phillyrin，quercetin and phillygenin ；the similarities of HPLC fingerprints from green F. suspensa and grown F. suspensa were 0.351-0.767；results of cluster analysis showed that green F. suspensa and grown F. suspensa were classified into 4 categories，among which L 1-L6 were clustered into one category ，Q1 was clustered into one category ，Q2-Q6 were clustered into one category ；Q7-Q8 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 83.14％， L1-L6 distribution was close ，Q2-Q6 distribution was close ，Q7-Q8 distribution was close ，and Q 1 distribution was independent ， which was consistent with the results of cluster analysis. CONCLUSIONS ：There were significant differences in the common peaks of fingerprint of green F. suspensa and grown F. suspensa of similarity eraluation ，cluster analysis and principle component analysis，the established HPLC fingerprint can be used for comprehensive evaluation and quality comparison of green F. suspensa and grown F. suspensa .

Objective: To explore the related factors of subependymal hemorrhage (SEH) and cerebral hemodynamic changes. Methods: From October 2012 to October 2017, 200 cases of children with subependymal hemorrhage diagnosed by ultrasound in our department of pediatrics were selected as the observation group , and a total of 150 children who were admitted to the Department of Pediatrics in the same period due to craniocerebral diseases and other serious diseases were selected as control group. The independent risk factors of the children in the observation group were analyzed, and the difference of the maximum systolic blood flow velocity (SV), the diastolic maximum flow velocity (DV), the systolic and diastolic velocity ratio (S/D), the resistance index (RI), and the pulsatile index (PI) were compared between the two groups. Results: Neonatal asphyxia, preterm birth, acidosis, neonatal respiratory distress syndrome (NRDS), patent ductus arteriosus and coagulation dysfunction were independent risk factors for subependymal hemorrhage. The bleeding side SV and DV of the observation group were higher than those of the control group, with statistically significant difference (P<0.001). In the observation group, the bleeding side SV and DV were higher than those of the healthy side, with statistically significant difference (P<0.001). There was no significant difference in bleeding side SV, DV, S/D, RI and PI in 110 cases of single side ependymal hemorrhage (P>0.05). Conclusions Children with ependymal hemorrhage can observe the hemodynamic indexes of anterior cerebral artery (ACA) dynamically by craniocerebral ultrasound, and judge the therapeutic effect by evaluating the systolic and diastolic blood flow velocity, so as to prevent the further aggravation of subependymal hemorrhage

Objective:To explore the effects of out-of-hospital cardiac rehabilitation in coronary disease patients after percutaneous coronary intervention (PCI) .Methods:From January 2017 to March 2018, this study selected 70 coronary disease patients with PCI in Department of Geriatric Medicine at Jiangsu Province Hospital as subjects by convenience sampling. Those 70 patients were randomly divided into control group and experimental group, 35 cases in each group. Two groups all carried out routine treatment and nursing in hospital. Control group implemented outpatient follow-up after discharge; experimental group adopted out-of-hospital cardiac rehabilitation. The follow-up for patients of two groups lasted one year. This study compared the scores of Seattle Angina Questionnaire (SAQ) , Self-rating Anxiety Scale (SAS) and risk factors of patients between two groups.Results:The scores of SAS of experimental group were lower than those of control group 3, 6, 12 months after discharge with statistical differences ( P<0.05) . The dimension scores of SAQ of patients between two groups 3, 6, 12 months after discharge were higher than those of admission; the scores of SAQ of experimental group were higher than those of control group in the same period with statistical differences ( P<0.05) . A total of 12 months after discharge, the body mass index (BMI) of patients in experimental group was higher than that in control group; the blood glucose and fat were lower than those in control group; the patients with smoking was less than that in control group with statistical differences ( P<0.05) . Conclusions:Out-of-hospital cardiac rehabilitation nursing can relieve the anxiety of coronary disease patients with PCI and control or reduce the risk factors so as to improve the disease condition which is a method suitable for long-term management of PCI patients.

AIM:To investigate the molecular mechanism of inhibition of miR-421 expression promoting radiosensitivity in the cervical cancer cells.METHODS:Cervical cancer lines HeLa, SiHa, C33A and CaSki were transfected with miR-421 inhibitor or negative control nucleotide using Lipofectamine 2000 kit, and the levels of miR-421 expression in the cervical cancer lines and endometrial epithelium cell line ESC were detected by real-time PCR.These cells with transfection were exposed to various doses of X-ray (0, 2, 4, 6 and 8 Gy).After 48 h, the cell viability, LDH leakage rate and apoptotic rate were measured respectively by MTT assay, ELISA and flow cytometry with Annexin V-FITC/PI staining.The protein levels of cleaved caspase-9, caspase-9, cleaved PARP, PARP, Bcl-2 and Bax were monitored by Western blot.RESULTS:Low miR-421 levels was found in the ESC cells, while high miR-421 levels were observed in the HeLa, SiHa, C33A and CaSki cells.The level of miR-421 in the cells transfected with miR-421 inhibitor was significantly lower than that in negative control group (P<0.05).The viability and LDH leakage rate of the cervical cancer cells with low miR-421 expression were notablely lower than those in negative control group, and the apoptotic rate at 72 h was remarkablely increased (P<0.05) under the same conditions.The results of Western blot indicated that, after exposure to ionizing radiation, the protein levels of cleaved caspase-9, cleaved PARP and Bcl-2 were significantly increased, while the protein level of Bax was significantly decreased in the cervical cancer cells with low miR-421 expression compared with negative control group (P<0.05).CONCLUSION:miR-421 is lowly expressed in the normal endometrial epithelial cells, but highly expressed in the cervical cancer cells.Down-regulation of miR-421 expression significantly inhibits the growth and enhances the radiosensitivity of cervical cancer cells at least partly via activating caspase-9 apoptosis pathway, thus promoting Bcl-2 and inhibiting Bax expression.