This study was aimed to observe the regulating effect of Shen-Xiong Hua-Y u (SXHY) capsule precondi-tioning on the expression of subtypes of nitric oxide synthase (NOS), including endothelial nitric oxide synthase (eNOS), nervous nitric oxide synthase (nNOS), inducible nitric oxide synthase (iNOS), in cerebral ischemia-reperfu-sion injury (CIRI) among rats, and to further clarify the mechanism of protective effect by SXHY capsule on acute CIRI rats. Rats were randomly divided into the sham operation group, CIRI group, and SXHY capsule of high-, medium-, and low-dose preconditioning group (480, 240, 120 mg·kg-1). Each group was further randomly divided into different subgroups, which were the 3, 6, 12, 24, 48, 72 h group after 2 h CIRI (n=6). Intragastric administration was given once a day for 7 days. The middle cerebral artery occlusion (MCAO) and reperfusion model was repro-duced by an intraluminal filament method on the 7th day. The protein expressions of eNOS, nNOS and iNOS were measured by immunhistochemical method. The results showed that compared with the sham operation group, expres-sions of eNOS, nNOS and iNOS in the CIRI group were increased at different time points (i.e., 3, 6, 12, 24, 48, 72 h, P< 0.05 or P< 0.01). Compared with the CIRI group, eNOS expression increased at different time points in SX-HY capsule group (P< 0.05 or P< 0.01). The nNOS and iNOS expression decreased at different time points (P<0.05 or P < 0.01). Among them, the high-dose group was the group with the most obvious effect. It was concluded that SXHY capsule preconditioning had protective effect on CIRI. Its mechanism may be related to the regulation on protein expression of NOS subtypes.

Objective: To investigate the interaction between mental elasticityand occupational stress and depressionin female nurses and the mediating effect of mental elasticity, as well as the functioning way of mental elasticity in occupational stress-depression. Methods: From August to October, 2015, cluster sampling was used to select 122 female nurses in a county-level medical institution as study subjects. The Connor-Davidson Resilience Scale (CD-RISC) , Occupational Stress Inventory-Revised Edition (OSI-R) , and Self-Rating Depression Scale (SDS) were used to collect the data on mental elasticity, occupational stress, and depression and analyze their correlation and mediating effect. Results: The 122 female nurses had a mean mental elasticity score of 62.4±15.1, which was significantly lower than the Chinese norm (65.4±13.9) (P<0.05) ; the mean depression score was 41.0±7.7, which was significantly higher than the Chinese norm (33.5±8.6) (P<0.01) , and the incidence rate of depression of 52.5%. Mental elasticity was negatively correlated with occupational stress and depression (r=-0.559 and -0.559, both P<0.01) . Occupational stress and the two subscales mental stress reaction and physical stress reaction were positively correlated with depression (r=0.774, 0.734, and 0.725, all P<0.01) . After adjustment for confounding factors, occupational stress had a positive predictive effect on depression (β=0.744, P<0.01) , and mental elasticity had a negative predictive effect on depression (β=-0.221, P<0.01) . The analysis of mediating effect showed a significant direct effect of occupational stress on depression and a significant mediating effect of mental elasticity (a=-0.527, b=-0.227, c=0.744, c’=0.627; all P<0.01) , and the mediating effect of mental elasticity accounted for 16.08% of the total effect. Conclusion As a partial mediating variable, mental elasticity has an indirect effect on the relationship between occupational stress and depression and can alleviate the adverse effect of occupational stress and reduce the development of depression.

Objective:To evaluate the performance and application of a fast nucleic acid detection system for testing severe acute respiratory syndrome virus 2 (SARS-COV-2).Methods:Clinical samples were collected from February to July 2020 from Beijing Center for Diseases Prevention and Control and the Laboratory Department of China-Japan Friendship Hospital, to evaluate the sensitivity, specificity, anti-interference ability, precision and clinical sample coincidence rate of fast nucleic acid detection system for SARS-CoV-2. The analytical sensitivity was determined by a dilution series of 20 replications for each concentration. Analytical specificity study was performed by testing organisms whose infection produces symptoms similar to those observed at the onset of corona virus disease 2019 (COVID-19), and of the normal or pathogenic microflora that may be present in specimens collected. Potential interference substances were evaluated with different concentration in the interference study. Precision study was conducted by estimating intra-and inter-batch variability. Clinical evaluation was performed by testing 230 oropharyngeal swab specimens and 95 sputum specimens in fast nucleic acid detection system, comparing with conventional real-time fluorescent quantitative PCR (RT-qPCR) and clinical diagnostic results.Results:The analytical sensitivity of SARS-CoV-2 using fast nucleic acid detection system was 400 copies/ml. The result is negative for testing with the organisms that may likely in the circulating area or causing similar symptoms with SARS-CoV-2 and human nucleic acid, indicating that no cross reactivity with organisms. The results of precision test showed that the Coefficient of variation of Ct value of high, medium and low concentration samples was 1.90%-3.92%, and all of them were less than 5% in intra-and inter-batch testing. The results of the samples were still positive after adding the potential interfering substances, indicating that the possible interfering substances in the samples had no effect on the results. 98.46% and 97.85% diagnosis results of fast nucleic acid detection system were consistent with RT-qPCR and clinical diagnostic results, respectively.Conclusion:The fast nucleic acid detection system based on molecular parallel reaction can be used as a selection method for SARS-CoV-2 testing.

Objective:To evaluate the performance and application of a fast nucleic acid detection system for testing severe acute respiratory syndrome virus 2 (SARS-COV-2).Methods:Clinical samples were collected from February to July 2020 from Beijing Center for Diseases Prevention and Control and the Laboratory Department of China-Japan Friendship Hospital, to evaluate the sensitivity, specificity, anti-interference ability, precision and clinical sample coincidence rate of fast nucleic acid detection system for SARS-CoV-2. The analytical sensitivity was determined by a dilution series of 20 replications for each concentration. Analytical specificity study was performed by testing organisms whose infection produces symptoms similar to those observed at the onset of corona virus disease 2019 (COVID-19), and of the normal or pathogenic microflora that may be present in specimens collected. Potential interference substances were evaluated with different concentration in the interference study. Precision study was conducted by estimating intra-and inter-batch variability. Clinical evaluation was performed by testing 230 oropharyngeal swab specimens and 95 sputum specimens in fast nucleic acid detection system, comparing with conventional real-time fluorescent quantitative PCR (RT-qPCR) and clinical diagnostic results.Results:The analytical sensitivity of SARS-CoV-2 using fast nucleic acid detection system was 400 copies/ml. The result is negative for testing with the organisms that may likely in the circulating area or causing similar symptoms with SARS-CoV-2 and human nucleic acid, indicating that no cross reactivity with organisms. The results of precision test showed that the Coefficient of variation of Ct value of high, medium and low concentration samples was 1.90%-3.92%, and all of them were less than 5% in intra-and inter-batch testing. The results of the samples were still positive after adding the potential interfering substances, indicating that the possible interfering substances in the samples had no effect on the results. 98.46% and 97.85% diagnosis results of fast nucleic acid detection system were consistent with RT-qPCR and clinical diagnostic results, respectively.Conclusion:The fast nucleic acid detection system based on molecular parallel reaction can be used as a selection method for SARS-CoV-2 testing.

Objective: To assess psychological acceptance and occupational stress of medical staff, analyze the relationship among personality, psychological acceptance and occupational stress and discuss the direct or indirect effects of personality to occupational stress. Methods: Eysenck Personality Questionnaire (EPQ-RSC) , Acceptance and Action Questionnaire-II (AAQ-Ⅱ) and Revised Occupational Stress Inventory (OSI-R) were administered to 749 medical staff. Results: The level of occupational stress of medical staff was high, the score of PSY was 26.8±7.13 and the score of PHS was 24.3±6.50. Personality and psychological acceptance can predict occupational stress. Psychological acceptance was a protective factor of occupational stress. Medical staff with personality of introversion, neuroticism and psychoticism suffered higher occupational stress. Personality have both direct and indirect effects on occupational stress. Neuroticism have the strongest effect on occupational stress with effect size of 0.496 (psychological stress) and 0.431 (physical strain) . Conclusion Medical staff have heavier occupational stress. There is a significant correlation between personality and occupational stress. Measures depending on personality should be taken to deal with this situation.

Objective:To investigate the feasibility of single breath-hold TFE-EPI in non-contrast coronary MRA on 3.0 T MRI.Methods:Both single breath-hold TFE-EPI and free breathing TFE were conducted in 23 healthy volunteers. Acquisition time between the two sequences were compared by paired- t-test analysis. Signal-noise-ratio (SNR), contrast-noise-ratio (CNR),image artifacts and distortion,vessel acuity were evaluated on the aorta(Ao), right coronary artery proximal(RCA-pro), right coronary artery middle (RCA-mid), left anterior descending proximal(LAD-pro) and left circumflex proximal(LCX-pro). Nonparametric analyses were conducted for the comparison. Results:The acquisition time decreased 96.51% in TFE-EPI compared with TFE [(16.3±2.2)s vs.(466.9±101.3)s, t=21.49, P<0.01]. There was no statistical significance in SNR comparison in all the vessel evaluation (all the P>0.05). TFE-EPI showed better CNR in RCA-mid than TFE ( Z=2.65, P=0.008). TFE-EPI showed less image artifacts and distortion in RCA-mid than TFE ( Z=2.00, P=0.046). TFE-EPI also showed better vessel acuity in both RCA-pro and RCA-mid than TFE ( Z=3.88, P<0.001; Z=3.42, P=0.001). Conclusion:Single breath-hold TFE-EPI could greatly shorten scan time while ensuring image quality in coronal artery imaging and has a broad application in future.

Objective:To establish methods for HPLC fingerprints and simultaneous determination of multi-index components before and after compatibility of Salvia miltiorrhiza and Angelica sinensis, so as to analyze the dissolution rate of the main compounds. Methods:The extracts of Salvia miltiorrhiza, Angelica sinensis and their compatibility were prepared. The separation was performed on an Eclipse XDB-C18 column (4.6 mm×250 mm,5 μm), mobile phase with 0.1% phosphoric acid aqueous solution-acetonitrile for gradient elution, flow rate at 1.0 ml/min, column temperature was maintained at 35 ℃, and the detection wavelength was set at 280 nm. The HPLC fingerprint were established before and after the compatibility of Salvia miltiorrhiza and Angelica sinensis, and the shared patterns of the fingerprint were obtained to gain chromatographic peaks. The content of 9 components Danshensu, caffeic acid, rosmarinic acid, salvianolic acid B, salvianolic acid A, tanshinone Ⅱ A, ferulic acid, chlorogenic acid and Yangchuanxiong lactone were determinated, and the changes of dissolution rate of each compound before and after the compatibility were analyzed. Results:The determination method for the multi- components with HPLC is precise and the components (waiting to be determinate) in the solution were stable within 48 hours, and the RSD values of each chromatographic peak were <5.0%. The nine components showed good linear relationships within their own ranges, and the recovery rate was in compliance with regulations. The fingerprint similarities of each sample were ?0.9. After the compatibility of Salvia miltiorrhiza and Angelica sinensis, a total of seventeen common peaks were calibrated, ten of which were from Salvia miltiorrhiza, seven from Angelica sinensis. No new components was found under this chromatographic condition. After the combination of these two material medicica decoction, the average dissolution rates of rosmarinic acid, salvianolic acids and Danshensu in Salvia miltiorrhiza were significantly lower than those of the single decoction group ( P<0.05 or P<0.01); the average dissolution rates of caffeic acid in Salvia miltiorrhiza was significantly higher than that of the single decoction group ( P<0.01); the average dissolution rates of chlorogenic acid and ferulic acid in Angelica sinensis were significantly higher than that of the single decoction group ( P<0.05 or P<0.01); the average dissolution rate of Yangchuanxiong lactone after the compatibility was not statistically different than that of single decoction group. Conclusion:The characteristic peaks of HPLC fingerprint of the compatibility of Salvia miltiorrhiza and Angelica sinensis did not increase under this chromatographic condition, which had a significant effect on the dissolution of index components.

OBJECTIVE： To optimize the extraction technology of total vitamin E in Euryale ferox. METHODS： With the extraction amount of total vitamin E as reference index， using extraction time， extraction times， ultrasound power and comminution degree as reference factors， single fator test and Box-Behnken design-response surface methodology was used to optimize the extraction technology of total vitamin E from E. ferox. The validation tests were conducted for 3 times （the amounts of E. ferox were 2.0， 20.0， 40.0 g）. RESULTS： The optimal extraction technology of vitamin E included that extraction time of 80 min， extraction times of 3 times， ultrasound power of 240 W， comminution degree of 80 mesh. In validation test， extraction rates of total vitamin E were 2.063， 2.103， 2.085 mg/g （RSD＝2.6％， 1.5％， 1.3％， n＝3）， the relative errors of which to predicted value （2.092 mg/g） were 0.14％， 0.53％ and 0.33％， respectively. CONCLUSIONS： The optimal extraction technology is reasonable， stable and feasible， and can be used for the extraction of total vitamin E in E. ferox.

Objective:To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia.Methods:In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction.Results:The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51.Conclusion:Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Objective:To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia.Methods:In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction.Results:The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51.Conclusion:Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.