Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.

Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.

Objective:To explore the impact of adverse childhood experiences on psychosomatic symptoms and job burnout in the nursing population.Methods:Utilizing a multistage stratified cluster random sampling meth-od,1 661 nurses were selected.Through a 1∶2 propensity score matching approach,demographic and work-related characteristics were balanced between the positive and negative groups of adverse childhood experiences.Finally,880 cases were successfully matched(positive group:300 cases,negative group:580 cases).Linear regression was employed to explore the relationship between nurses'adverse childhood experiences and psychosomatic symptoms(anxiety,depression,physical symptoms),as well as job burnout.The average treatment effect among the treated(ATT)was calculated.Results:Linear regression results revealed a significant positive association between adverse childhood experiences and scores for anxiety symptoms,depression symptoms,physical symptoms,and job burnout(B=1.68,2.67,2.89,5.90;ATT=1.64,2.58,2.82,5.96,Ps＜0.001).However,there was no statistically signif-icant association with scores for a sense of inadequacy in individual achievements(P＞0.05).Conclusion:Nurses who have experienced childhood adverse experiences may exhibit more severe psychosomatic symptoms and job burnout compared to those who have not experienced such adversities during childhood.

Objective:To explore the impact of adverse childhood experiences on psychosomatic symptoms and job burnout in the nursing population.Methods:Utilizing a multistage stratified cluster random sampling meth-od,1 661 nurses were selected.Through a 1∶2 propensity score matching approach,demographic and work-related characteristics were balanced between the positive and negative groups of adverse childhood experiences.Finally,880 cases were successfully matched(positive group:300 cases,negative group:580 cases).Linear regression was employed to explore the relationship between nurses'adverse childhood experiences and psychosomatic symptoms(anxiety,depression,physical symptoms),as well as job burnout.The average treatment effect among the treated(ATT)was calculated.Results:Linear regression results revealed a significant positive association between adverse childhood experiences and scores for anxiety symptoms,depression symptoms,physical symptoms,and job burnout(B=1.68,2.67,2.89,5.90;ATT=1.64,2.58,2.82,5.96,Ps＜0.001).However,there was no statistically signif-icant association with scores for a sense of inadequacy in individual achievements(P＞0.05).Conclusion:Nurses who have experienced childhood adverse experiences may exhibit more severe psychosomatic symptoms and job burnout compared to those who have not experienced such adversities during childhood.

Objective: To explore the relationship between depressive symptoms, negative life events and resilience among primary and secondary school teachers, so as to provide a reference for mental health promotion in school teachers. Methods: During November to December 2022, a questionnaire survey was conducted using convenient cluster sampling method to select 11 332 in service teachers from 38 schools in 8 provinces (cities) including Beijing, Guangdong, Anhui, Hubei, Sichuan, Xinjiang, Liaoning, and Heilongjiang. The Patient Health Questionnaire-9 items, a self developed 21-item Adverse Life Events questionnaire, and a 10-item Conner-Davidson Resilience Scale were used to assess depressive symptoms, experiences of negative life events, and resilience levels of the teachers, respectively. The relationship between depressive symptoms, negative life events and psychological resilience were analyzed by multiple linear regression and stratified regression. Results: The detection rate of depressive symptoms among primary and secondary school teachers was 14.0%. Negative life events of primary and secondary school teachers were positively correlated with depressive symptoms ( r =0.35), while psychological resilience was negatively correlated with depressive symptoms ( r =-0.45) ( P <0.05). After adjusting for possible covariates including gender and marital status, negative life events were positively correlated with depressive symptoms ( β=0.22, P <0.01). Resilience played a moderating role in the association of negative life events with depressive symptoms among primary and secondary school teachers ( B=-0.15, P <0.01). Conclusions Negative life events experiences are associated with higher level of depressive symptoms among school teachers. However, resilience might mitigate the negative effects of negative life events on depressive symptoms, playing a protective role in teachers mental health.

Background According to the Classification and Catalogue of Occupational Diseases, brucellosis is one of the notifiable occupational infectious diseases, which occurs from time to time in the occupational population. Objective To compare the work-related injury appraisal process and results of 13 cases of brucellosis at both provincial and municipal levels, analyze and summarize the bias in the practical work of labor capacity identification for occupational diseases such as brucellosis by appraisal management departments and experts, and propose suggestions for optimizing appraisal work. Methods A comparative study was conducted on the objective examination results and labor capacity appraisal conclusions based on the occupational contact history, clinical diagnosis, occupational disease diagnosis staging, and labor capacity appraisal of 13 patients with brucellosis. The reasons for the inconsistency between the initial appraisal conclusion by institutions at the municipal level and the final appraisal conclusion by institutions at the provincial level were compared and analyzed. Results All of the 13 patients with brucellosis applied for municipal-level labor capacity identification after being identified as work-related injuries, 11 of which did not receive a disability level, and 2 were rated as level 10 disability. Four of those who did not receive the disability rate applied for provincial-level labor capacity identification. As a result, 2 cases were maintained original appraisal conclusions, while the other 2 changed the conclusions to level 9 disability and level 10 disability respectively. It was the first time in Shijiangzhuang municipal-level primary labor capacity appraisal and Hebei provincial-level labor capacity re-appraisal that the work-related injury caused by occupational brucellosis was rated as level 9 disability or level 10 disability. Hence, the lessons learned from this comparative analysis are that the degree of target organ damage and (or) organ dysfunction are the direct basis for work-related injury appraisal; an objective and scientific labor capacity identification for occupational brucellosis should base on the each case of disability evaluation, identify the relevant target organ damage and the degree of dysfunction, and rate the disability level after a comprehensive appraisal. Conclusion This analysis would be a guidance to the identification of labor capacity for occupational brucellosis in Hebei Province and the whole country. There is a hysteresis issue in the occupational disease provisions in the national standard GB/T 16180—2014 Standard for identify work ability—Gradation of disability caused by work-related injuries and occupatiaonal diseases. In current situation, appraisal experts should not only search for clauses that directly correspond to the occupational diseases and injuries, but also target conditions not covered in the clauses and conduct assessment based on the characteristics of occupational diseases, with scientific, accurate, and flexible application of the clauses in the standard and appendix, so as to make fair, just, and professional appraisal conclusions.

Objective To develop a GPU-based Monte Carlo dose calculation module for helical tomotherapy(TOMO),and integrate it into the commercial software ArcherQA to achieve fast and accurate dose verification in clinic.Methods The TOMO treatment head was modeled using TOPAS to obtain phase space files,and a fast weight tuning algorithm was used to simulate particle transport in multi-leaf collimator for improving computational efficiency,and finally,GPU-based Monte Carlo algorithms in ArcherQA were used to simulate particle transport in patients.To verify the model accuracy,the ArcherQA calculated results in water tank were compared with measured data for different open fields.In addition,multiple comparisons among ArcherQA results,TPS results and ArcCHECK results were conducted on 15 clinical cases(5 cases in the head and neck,5 cases in the chest and abdomen,and 5 cases in the whole body).Results In the water tank tests for 40 cm×5.0 cm,40 cm×2.5 cm and 40 cm× 1.0 cm radiation fields,the average global relative errors of the percentage depth dose,transverse dose distribution,and longitudinal dose distribution calculated by ArcherQA with the corresponding measured values were 0.72％,0.66％,and 0.54％,respectively.Over 98％of the voxels had a global relative error of less than 1％.As for 15 clinical cases,in 2％/2 mm criteria,the mean Gamma passing rate was 98.1％between ArcherQA and TPS,99.1％between TPS and ArcCHECK,and 99.4％between ArcherQA and ArcCHECK.The uncertainty of the simulation maintained less than 1％,and the average time taken for calculation based on patient CT vs ArcCHECK phantom was 87 s vs 64 s.Conclusion ArcherQA can be used for independent dose validation for TOMO plans for it can provide fast and accurate dose calculations.

BACKGROUND: There has been minimal research on the role of benevolent childhood experiences (BCEs) and how such events may offer protection from the insidious effects of adverse childhood experiences (ACEs) or later in life. OBJECTIVES: This research aims to learn how BCEs and ACEs interact to affect adolescents' psychological distress. METHODS: Cross-sectional survey was conducted in three cities (Xuzhou, Nanjing, and Wuhan) in China from March 2021 to May 2021. Latent class analysis (LCA) was used to classify the patterns of ACEs and BCEs. We adopted hierarchical multivariable regression to examine the influences of ACEs and BCEs on depression and suicidal ideation. RESULTS: To explore the relationship between childhood experience and suicidal ideation and depression, LCA revealed three patterns of ACEs: (1) emotional abuse (10.57%); (2) high ACEs (0.55%); and (3) low ACEs classes (88.88%). Adolescents with emotional abuse (depression: OR = 3.82, 95%CI = 2.80-5.22, P < 0.001; suicidal ideation: OR = 5.766, 95%CI = 3.97-8.38, P < 0.001) and high ACEs class (suicidal ideation: OR = 5.93, 95%CI = 1.19-29.66, P < 0.05) had an increased risk of psychological distress (reference: low ACEs). LCA revealed four patterns of BCEs: (1) relationship support (14.54%); (2) low BCEs (4.85%); (3) high BCEs (55.34%); and (4) high quality of life classes (25.28%). Adolescents with a high quality of life (depression: OR = 0.09, 95%CI = 0.05-0.16, P < 0.001; suicidal ideation: OR = 0.22, 95%CI = 0.12-0.40, P < 0.001) and high BCEs (depression: OR = 0.05, 95%CI = 0.03-0.09, P < 0.001; suicidal ideation: OR = 0.15, 95%CI = 0.09-0.26, P < 0.001) protected the mental health of adolescents (reference: low BCEs). CONCLUSIONS High ACEs and emotional abuse classes were significantly associated with poorer mental health symptoms, including suicidal ideation and depression. In contrast, high BCEs and high quality of life classes were associated with better mental health. These findings point out that it is more necessary to identify and support victims of ACEs, and it is urgent to increase BCEs in early childhood.
Adolescent ; Humans ; Cross-Sectional Studies ; Depression ; East Asian People ; Latent Class Analysis ; Quality of Life ; Suicidal Ideation ; Adverse Childhood Experiences

Objective: To investigate the association of sleep quality, depressive symptoms and their interaction with non suicidal self injury (NSSI) among rural middle school students, so as to provide a reference for early prevention and control of NSSI among rural middle school students. Methods: A multi stage cluster sampling method was used to randomly select four rural middle schools in Xuzhou, Jiangsu Province. A total of 1 723 middle school students were investigated according to the principle of grade stratification and class random selection. Paper questionnaires (including demographic factors, Non Suicidal Self Injury Short Scale, Pittsburgh Sleep Quality Index, Patient Health Questionnare-9) were used to conduct the questionnaire survey. Logistic regression model was used to analyze the association of sleep quality, depressive symptoms and their interaction with NSSI among rural middle school students. Results: Totally 30.5% of middle school students had NSSI. Univariate results showed that girls (33.0%) had a higher incidence of NSSI than boys(27.3%), and those with sleep disorders and depressive symptoms had a higher incidence of NSSI, which was 46.8%, 43.6%. The results of multivariate Logistic regression showed that the risk of NSSI in students with sleep disorder was 1.80 times that in those without sleep disorder( OR 95%CI=1.42-2.28, P <0.01). The risk of NSSI in students with depressive symptoms was 3.32 times higher than that in those without depressive symptoms( OR 95%CI=2.60-4.24, P <0.01). The interaction results showed that there was additive interaction between sleep disturbance and depressive symptoms on the occurrence of NSSI behavior in rural middle school students, and the relative excess risk, attributable proportion and synergy index were 1.80, 0.30 and 1.57, respectively. Conclusion Sleep disorder and depressive symptoms are risk factors for NSSI among rural middle school students, and there is additive interaction between them.

Percutaneous pulmonary puncture guided by computed tomography (CT) is one of the most effective tools for obtaining lung tissue and diagnosing lung cancer. Path planning is an important procedure to avoid puncture complications and reduce patient pain and puncture mortality. In this work, a path planning method for lung puncture is proposed based on multi-level constraints. A digital model of the chest is firstly established using patient's CT image. A Fibonacci lattice sampling is secondly conducted on an ideal sphere centered on the tumor lesion in order to obtain a set of candidate paths. Finally, by considering clinical puncture guidelines, an optimal path can be obtained by a proposed multi-level constraint strategy, which is combined with oriented bounding box tree (OBBTree) algorithm and Pareto optimization algorithm. Results of simulation experiments demonstrated the effectiveness of the proposed method, which has good performance for avoiding physical and physiological barriers. Hence, the method could be used as an aid for physicians to select the puncture path.
Humans ; Lung/diagnostic imaging* ; Lung Neoplasms/diagnostic imaging* ; Punctures ; Thorax ; Tomography, X-Ray Computed