Objective:To study the etiological relationship between Yunnan sudden unexplained death (hereinafter referred to as YNSUD) and the desmosomal protein gene mutation of arrhythmogenic right ventricular cardiomyopathy (ARVC).Methods:From September 2019 to August 2020, a cross-sectional survey method was used to select 9 key counties (cities) of YNSUD in Yunnan Province as survey sites. Autopsy cardiac blood samples of YNSUD cases ( n = 11) were collected, and peripheral venous blood samples of co-occurring case ( n = 1), case relatives ( n = 128), and control population ( n = 60) were collected. Genomic DNA from blood was extracted. After PCR amplification, 97 exons of 5 ARVC desmosomal protein genes, including plakophilin-2 (PKP2), desmoglein-2 (DSG2), desmocollin-2 (DSC2), desmoplakin (DSP), and junction plakoglobin (JUP) were sequenced by Sanger method, and the gene mutation was analyzed. Results:Compared with the control population, YNSUD cases, co-occurring case and case relatives carried 52 gene mutation sites in 36 exons of the ARVC desmosomal protein gene, with a total mutation rate of 37.11% (36/97). Among them, there were 21 in DSP gene, 10 in DSG2 gene, 8 in PKP2 gene, 8 in DSC2 gene, and 5 in JUP gene. YNSUD cases, co-occurring case and case relatives carried two same gene mutation sites: DSG2 gene exon 15 c.3321 T>C synonymous mutation and JUP gene exon 3 c.213 T>C synonymous mutation.Conclusions:The mutation rate of ARVC desmosomal protein gene is relatively high in the population of YNSUD. The two same gene mutation sites (DSG2 gene c.3321 T>C and JUP gene c.213 T>C) carried by YNSUD cases, co-occurring case and case relatives may be associated with the pathogenesis of YNSUD.

Objective:To study the etiological relationship between Yunnan sudden unexplained death (hereinafter referred to as YNSUD) and the desmosomal protein gene mutation of arrhythmogenic right ventricular cardiomyopathy (ARVC).Methods:From September 2019 to August 2020, a cross-sectional survey method was used to select 9 key counties (cities) of YNSUD in Yunnan Province as survey sites. Autopsy cardiac blood samples of YNSUD cases ( n = 11) were collected, and peripheral venous blood samples of co-occurring case ( n = 1), case relatives ( n = 128), and control population ( n = 60) were collected. Genomic DNA from blood was extracted. After PCR amplification, 97 exons of 5 ARVC desmosomal protein genes, including plakophilin-2 (PKP2), desmoglein-2 (DSG2), desmocollin-2 (DSC2), desmoplakin (DSP), and junction plakoglobin (JUP) were sequenced by Sanger method, and the gene mutation was analyzed. Results:Compared with the control population, YNSUD cases, co-occurring case and case relatives carried 52 gene mutation sites in 36 exons of the ARVC desmosomal protein gene, with a total mutation rate of 37.11% (36/97). Among them, there were 21 in DSP gene, 10 in DSG2 gene, 8 in PKP2 gene, 8 in DSC2 gene, and 5 in JUP gene. YNSUD cases, co-occurring case and case relatives carried two same gene mutation sites: DSG2 gene exon 15 c.3321 T>C synonymous mutation and JUP gene exon 3 c.213 T>C synonymous mutation.Conclusions:The mutation rate of ARVC desmosomal protein gene is relatively high in the population of YNSUD. The two same gene mutation sites (DSG2 gene c.3321 T>C and JUP gene c.213 T>C) carried by YNSUD cases, co-occurring case and case relatives may be associated with the pathogenesis of YNSUD.

Objective To investigate the capability for distinguishing between the morphology of Oncomelania hupensis and Tricula snails and its influencing factors among schistosomiasis control professionals in Yunnan Province, so as to evaluate the interference of Tricula snails with O. hupensis surveys. Methods O. hupensis and Tricula snails were sampled from 9 schistosomiasis-endemic counties (districts) in Yunnan Province. The capability for distinguishing between O. hupensis and Tricula snails was evaluated using online questionnaire surveys and field blind tests among schistosomiasis control professionals, and the proportions of correct judgment, misjudgment and missed judgment were calculated. Univariate and multivariate logistic regression models were created using the software SPSS 25.0, and factors affecting the proportion of correct judgments of O. hupensis snails were identified among schistosomiasis control professionals. Results Questionnaire surveys and field blind tests showed that the overall proportions of correct judgments of O. hupensis snails were 56.77% (2 305/4 060) and 68.28% (1 556/2 279) among schistosomiasis control professionals in Yunnan Province, respectively. Univariate logistic regression analysis of online questionnaire surveys identified gender [odds ratio (OR) = 1.244, 95% confidential interval (CI): (1.073, 1.441), P < 0.05], professional title [OR = 0.628, 1.741, 95% CI: (0.453, 0.871), (1.109, 2.734), both P < 0.05], working duration [OR = 0.979, 95% CI: (0.971, 0.987), P < 0.05] and classification of schistosomiasis epidemics in endemic foci [OR = 1.410, 0.293, 0.523, 95% CI: (1.103, 1.804), (0.237, 0.361), (0.416, 0.657), all P < 0.05] as factors affecting the proportion of correct judgments of O. hupensis snails among schistosomiasis control professionals in Yunnan Province, and multivariate logistic regression analysis after adjustments showed that the proportion of O. hupensis snail misjudgments was 1.179 times higher among male schistosomiasis control professionals than among females [OR = 1.179, 95% CI: (1.006, 1.382), P < 0.05], and 1.474 times higher among schistosomiasis control professionals in schistosomiasis-elimination areas with snails than in areas without snails [OR = 1.474, 95% CI: (1.145, 1.898), P < 0.05], and the proportions of missed judgments of O. hupensis snails were 0.284 [OR = 0.284, 95% CI: (0.225, 0.359), P < 0.05] and 0.523 times [OR = 0.523, 95% CI: (0.412, 0.664), P < 0.05] higher among schistosomiasis control professionals in transmission-interruption areas with snails and schistosomiasis-elimination areas with snails than in schistosomiasis-elimination areas without snails. Univariate logistic regression analysis of field blind tests showed age [OR = 2.381, 95% CI: (1.677, 3.381), P < 0.05], professional title [OR = 1.688, 95% CI: (1.103, 2.582), P < 0.05］, working duration [OR = 0.970, 95% CI: (0.956, 0.984), P < 0.05] and classification of schistosomiasis epidemics in endemic foci [OR = 0.262, 0.593, 95% CI: (0.188, 0.364), (0.420, 0.837), both P < 0.05] as factors affecting the proportion of correct judgments of O. hupensis snails among schistosomiasis control professionals in Yunnan Province, and multivariate logistic regression analysis after adjustments showed the proportions of missed judgments of O. hupensis snails were 0.263 [OR = 0.263, 95% CI: (0.176, 0.394), P < 0.05] and 0.604 times [OR = 0.604, 95% CI: (0.416, 0.875), P < 0.05] higher among schistosomiasis control professionals in transmission-interruption areas with snails and schistosomiasis-elimination areas with snails than in schistosomiasis-elimination areas without snails. Conclusions Schistosomiasis control professionals in Yunnan Province have a low accuracy rate for distinguishing between the morphology of O. hupensis and Tricula snails, and gender and classification of schistosomiasis epidemics in endemic foci are factors that affect their ability to distinguish. The presence of Tricula snails causes a high degree of interference with O. hupensis surveys in O. hupensis snail-infested areas of Yunnan Province. Reinforced training for distinguishing between O. hupensis and Tricula snails is required among schistosomiasis control professionals in Yunnan Province.

Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.

Objective To analyze the current situation and latent profiles of nurses'voice behavior in nurses,and explore the influencing factors of different types.Methods Through convenience sampling,812 nurses who worked in tertiary hospitals from 5 cities in Guangdong Province during April 2022 to June 2022 were recruited.The demographic questionnaire,the Voice Behavior Scale,the Humble Leadership Scale,and the Team Psychological Safety Climate Scale were used for investigation.Latent profile analysis was used to explore the latent profiles of nurses'voice behavior.The influencing factors of latent profiles were identified by multivariate Logistic regression.Results The total score of the voice behavior in 812 nurses is(37.04±5.88).Voice behaviors in nurses is divided into 3 latent classes,namely"conservation group"(27.83％),"balanced-risky group"(61.95％),and"the challenge group"(10.22％).The influencing factors include recruitment type,whether to assist in department management,humble leadership,team psychological safety climate(all P＜0.05).Conclusion The level of nurses'voice behavior is upper medium with heterogeneity,which can be divided into 3 latent profiles.Nurses managers should focus on nurses with conservation group and balanced-risky group and conduct early targeted prevention and care according to characteristics and influencing factors of different latent profile.

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009—2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

{L-End}Objective To explore the chain mediating effect of team psychological safety atmosphere and professional calling in the relationship between humble leadership and voice behavior. {L-End}Methods A total of 812 nurses from five medical institutions in Guangdong Province were selected as the research subjects using the convenience sampling method. The Team Psychological Safety Atmosphere Scale, the Professional Calling Scale, the Hospital Version of Humble Leadership Scale and the Voice Behavior Scale were used to investigate the perceived team psychological safety atmosphere and sense of professional calling, the perceived humble leadership style and voice behavior of the nurses. {L-End}Results The score of team psychological safety atmosphere, professional calling, humble leadership, and voice behavior of 812 nurses was (58.0±7.6), (44.6±8.0), (50.4±9.2) and (37.0±5.9), respectively, with the scoring rate of 72.5%, 74.3%, 80.0%, and 74.0%, respectively. Bootstrap analysis showed that humble leadership could positively influence voice behavior ［standardized effect value (β)=0.28, 95% confidence interval (CI) 0.20-0.35］. Humble leadership could influence voice behavior through the separate mediating effects of team psychological safety atmosphere (β=0.13, 95%CI 0.09-0.18), professional calling (β=0.07, 95%CI 0.04-0.11), and the chain mediating effect of team psychological safety atmosphere and professional calling(β=0.06, 95%CI 0.04-0.08). {L-End}Conclusion The voice behavior of clinical nurses is at a moderately high level. Humble leadership can directly influence voice behavior and can influence voice behavior through the mediating effects of team psychological safety atmosphere and professional calling. Nursing managers can inspire the work passion of clinical nurses by changing their own leadership style and creating a good atmosphere for voicing opinions.

Objective To investigate the efficacy of video-assisted teaching ward rounds for typical cases of oph-thalmology in clinical practice for medical undergraduates.Methods A total of 45 students from clinical medicine in Peking Union Medical College were enrolled.They were randomly divided into the experimental group(23 students)and control group(22 students).Primary angle closure glaucoma(PACG)was selected as the learning content,the experimental group was trained by video-assisted teaching ward rounds,while the control group was trained by internship in outpatient clinic.All students joined the test of typical case PACG and a ques-tionnaire survey was implemented for the experimental group.Results The average score of experimental group was higher than control group[(84.30±4.53)vs.(78.05±5.76),t＝4.05,P＜0.001].For video-assisted teaching ward rounds,in experimental group,86.9%(20/23)students believed it was more practical,95.6%(22/23)students thought it was very helpful and 91.3%(21/23)students considered it was conductive to im-prove interest of learning and clinical thinking ability.Conclusions Video-assisted teaching ward rounds improves students'understanding memory of ophthalmic typical cases,which is a potential supplement teaching method in clinical practice training of ophthalmology for medical undergraduates.

Objective: To investigate the mediating role of psychological resilience in the relationship between family intimacy and adaptability and experiential avoidance among undergraduate nursing students (hereafter referred as nursing undergraduates). Methods: A total of 725 nursing undergraduates from six colleges in Guangdong Province were selected as the research subjects using convenience sampling method. The Acceptance Action Questionnaire-2nd Edition, Conner-Davidson Resilience Scale and Family Intimacy and Adaptability Scale were used to evaluate the experiential avoidance, psychological resilience, and family intimacy and adaptability, respectively. Results: The mean scores of experiential avoidance, psychological resilience and family intimacy and adaptability among nursing undergraduates were (23.4±7.7), (58.8±8.9) and (99.7±20.3), respectively. The results of the mediation analysis indicated that the total effect of family intimacy and adaptability on experiential avoidance was -0.16 (P<0.01), with a direct effect of -0.05 (P>0.05). Psychological resilience played a significant mediating role in the relationship between family intimacy and adaptability and experiential avoidance among nursing undergraduates (P<0.01). The standardized mediation effect was -0.11, accounting for 68.8% of the total effect. Conclusion: Resilience plays a mediating role between family intimacy and adaptability and experiential avoidance among nursing undergraduates.

Objective: To explore the influence of adverse childhood experiences (ACEs) on pubertal development of boys and girls and to provide a reference for the development of intervention measures. Methods: A stratified cluster sampling method was used to select a total of 1 156 students in grades three and four in the boarding school system and public primary schools in Huangshan City and surrounding towns in September 2018, using the Childhood Trauma Questionnaire (CTQ) and the Pubertal Development Scale (PDS). For the baseline self-assessment survey, according to different dimensions, abuse children score no exposure groups. Children were divided into an exposure group and a high exposure level group, according to their childhood experiences. PDS self-report questionnaire was administered two years later, and an analysis of ACE type and severity of the continuous impact of youth development was conducted. Results: In the baseline survey, there were 53 girls (11.32%) and 51 boys (7.41%) who developed earlier. The rate of early development in girls was higher than that of boys, and the difference was statistically significant(χ 2=5.21, P<0.05). Univariate analysis showed gender differences in the effects of type and severity of ACEs and abuse on adolescent development at both baseline and follow-up. There were gender differences in the rate of early development between boys and girls at baseline and at follow-up between the exposure groups. Regression analysis showed that the higher the degree of emotional abuse, emotional neglect, and sexual abuse in girls, the higher the PDS score(B=0.22, 0.15, 0.08, P<0.05). In boys, the more severe the emotional abuse experienced, the higher the PDS score, and the more severe the physical abuse experienced, the lower the PDS score(B=0.20, 0.04, P<0.05). Conclusion Attention should be paid to the influence of ACEs and gender differences during youth development among male and female students, and more longterm studies should also be carried out.