Objective To investigate the epidemiological characteristics of cross-county imported dengue fever cases within Yunnan province in 2023, so as to provide insights into formulation of preventive and control measures for intra-provincial spread of dengue fever. Methods All data pertaining cross-county imported dengue fever cases within Yunnan Province in 2023 were collected, and the temporal, regional and population distributions of the cases were descriptively analyzed. Results A total of 1 664 intra-provincial cross-county imported dengue fever cases were reported in 95 counties (cities, districts) cross 16 profectures (cities) in Yunnan Province in 2023, accounting for 12.34% of total cases in the province. Cross-county imported dengue fever cases were predominantly reported during the period between August and October (1 516 cases, 91.11% of total cases), and peaked in September (659 cases), with a single-day peak on October 8 (36 cases). During the period from September 4 to 10, five counties (cities) with local dengue fever epidemics, including Jinghong City of Xishuangbanna Dai Autonomous Prefecture, Gengma Dai and Wa Autonomous County of Lincang City, Ruili City of Dehong Dai and Jingpo Autonomous Prefecture, Mengla Coun ty of Xishuangbanna Dai Autonomous Prefecture, and Zhenkang County of Lincang City, exported 165 cross-county imported dengue fever cases to the rest of the province. Among the 1 644 intra-provincial cross-county imported dengue fever cases, the male to female ratio was 1.40∶1.00, and 1 329 cases were at ages of 15 to 55 years (79.87%), with farmers as the predominant occupation (886 cases, 53.25%). The top 5 counties (cities/districts) reporting the highest number of intra-provincial cross-county imported dengue fever cases included Simao District (266 cases) and Lancang Lahu Autonomous County (118 cases) of Pu’er City, Mengla County (91 cases) and Menghai County (91 cases) of Xishuangbanna Dai Autonomous Prefecture, and Mangshi City (73 cases) of Dehong Dai and Jingpo Autonomous Prefecture, which accounting for 38.40% of total imported cases. These intra-provincial cross-county imported dengue fever cases originated from 7 counties (cities/districts) in 4 prefectures (cities), including 1 261 cases (76.70%) from Jinghong City of Xishuangbanna Dai Autonomous Prefecture, 224 cases (13.63%) from Ruili City of Dehong Dai and Jingpo Autonomous Prefecture, 103 cases (6.27%) from Gengma Dai and Wa Autonomous County of Lincang City, 31 cases (1.89%) from Mengla County of Xishuangbanna Dai Autonomous Prefecture, 30 cases (1.82%) from Zhenkang County of Lincang City, 10 cases (0.61%) from Cangyuan Wa Autonomous County of Lincang City, and 5 cases (0.30%) from Mohan-Boten Economic Cooperation Zone of Kunming City. In addition, local dengue fever epidemics following intra-provincial cross-county importation of dengue fevers cases in Simao District, Jinggu Dai and Yi Autonomous County, Mangshi City, Longchuan County, and Cangyuan Wa Autonomous County. Conclusions Farmers and students are high-risk populations for intra-provincial cross-county imported dengue fever cases in Yunnan Province, and health education pertaining personal protection against dengue fever should be strengthened among these high-risk populations by governments at all levels. There is a high risk of local out-break of dengue fever following continuous introduction of intra-provincial cross-county imported cases. Standardized management of intra-provincial cross-county imported dengue fever cases should be reinforced to reduce the risk of local epidemics.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.

ObjectiveTo understand the usage of antibiotics in outpatients in a county of Zhejiang Province from 2015 to 2020， so as to provide a basis for further standardizing the clinical application of antibiotics in this region. MethodsOutpatient records and prescription records of 146 public medical institutions from 2015 to 2020 were extracted from the electronic medical record data sharing platform system of medical institutions in a county of Zhejiang Province. The utilization rates and the number of types of antibiotics used in outpatient patients were described. According to the drug anatomy， therapeutic and chemical classification system （ATC）， clinical application classification and dosage form， the use status of different types of antibiotics was observed. The annual percentage change （APC） was used to analyze the time trend of antibiotic use. Among the antibiotic prescriptions in each year， the proportions of prescriptions aimed for different use reasons and patients were compared to analyze the changes in the structures of antibiotic prescriptions. ResultsDuring 2015‒2020， a total of 2 861 438 prescriptions were issued in146 primary public medical institutions in this county， including 314 642 prescriptions for antibiotics， and the overall utilization rate of antibiotics was 11%. The utilization rate of antibiotics showed a decreased trend across the years （from 14.23% in 2015 to 7.59% in 2020，APC=-11.51%， 95%CI=-0.01%‒-21.7%， t=-12.05， P<0.001） and an obvious seasonal variation character （higher in winter and spring， lower in summer and autumn）. Cefoxitin sodium for injection was the most used antibiotic in 2015， and cefuroxime was the most used antibiotic from 2015 to 2020， respectively. The utilization rates of cephalosporins （APC=-11.06%， 95%CI=0‒-20.89%， t=-22.233， P<0.001）， quinolones （APC=-9.74%， 95%CI=0‒-18.53%， t=-7.652， P=0.002）， macrolides （APC=-17.52%， 95%CI=0‒-17.52%， t=-3.626， P=0.022） and lincoamides （APC=-49.01%， 95%CI=0‒-74%， t=-3.35， P=0.029） showed a decreasing trend across the years. There were differences in the distribution of drug use reasons （χ²=9 458.427， P<0.001）， as well as the age （χ²=5 421.709， P<0.001） and sex （χ²=245.322， P<0.001） of patients. During the observation period， 50.69% of antibiotic prescriptions were used to treat respiratory diseases， with the highest proportion of 57.67% in 2015 and the lowest proportion of 34.93% in 2020. 58.37% of patients were aged 50‒70 years， with a decreasing proportion of patients under 50 years （17.83% in 2015， 6.64% in 2020） and an increasing proportion of patients over 70 years （24.1% in 2015， 38.41% in 2020）. ConclusionThe utilization rate of antibiotics used in outpatients from primary public medical institutions in a county of Zhejiang Province shows a decreasing trend across the years， but higher than that of secondary and above hospitals in China， and also higher than that of primary medical institutions in economically-developed areas. The management and monitoring of the clinical use of antibiotics in the county should be actively strengthened.

ObjectiveTo investigate the specific anti-SARS-CoV-2 antibody in adults and above after initial vaccination with inactivated COVID-19 vaccine， and determine the influencing factors. MethodsIn this study， residents aged 18 and above who had completed two doses of inactivated COVID-19 vaccine in Deqing County， Huzhou City， Zhejiang Province were included. Information such as gender， age， type of vaccine and vaccination time were collected， and serum specimens were sampled. Anti-SARS-CoV-2 receptor binding domain （RBD） antibody was quantitatively examined by enzyma-linked immunosorbent assay （ELISA） and influencing factors were determined. ResultsThe median concentration of anti-SARS-CoV-2 IgG antibody in the residents vaccinated with an inactivated booster vaccine was higher than that in those vaccinated with only two doses of COVID-19 vaccine or single dose （P<0.05）. The median concentration of IgG antibody in males was 9.73 （4.01‒23.70） RU‧mL^-1， lower than 17.76 （7.07‒49.23） RU‧mL^-1 in females （P<0.05）. The median concentration in the residents vaccinated with BBIBP-CorV （Sinopharm） was 6.53 （0.97‒13.69） RU‧mL^-1， which was lower than that in those vaccinated with CoronaVac （Sinovac） that was 17.29 （8.54‒43.73） RU‧mL^-1 （P<0.05）. The median concentration in those with BBIBP-CorV was also lower than 12 （5.45‒40.06） RU‧mL^-1 in those with heterologous booster vaccine （P<0.05）. The median concentration was 9.73 （3.83‒23.63） RU‧mL^-1 in the residents with an interval of more than 6 months from the second dose， which was lower than 14.66 （6.36‒35.98） RU‧mL^-1 in those with an interval of 3‒6 months （P<0.05）. Moreover， immune effect was better in females （χ²=16.464， P<0.05）， 18‒45 years（χ²=7.158， P<0.05）， and those vaccinated with CornaVac （χ²=49.637， P<0.05）， while decreased in those with an interval of more than 6 months from the second dose （χ²=8.447， P<0.05）. ConclusionGender， age， and type of vaccine may affect the effect of immunization. The COVID-19 vaccination shows an acceptable immunogenicity in adults； however， it declines in 6 months after vaccination. It warrants strengthening the booster vaccination to maintain the immune response.

Gaming addiction， as a main manifestation of internet addiction， is characterized by a pattern of persistent or recurrent gaming behaviors. Gaming behaviors are common among adolescents and can result in marked distress or significant impairment in personal， family， social or other important areas of functioning. Recent research on health hazards of gaming addiction is relatively scattered. This article reviews the harm of adolescent game addiction to physical and mental health.

Objective:To explore the effects of different puberty development stages on thyroid morphology and function in women.Methods:From October to November 2017, a multi-stage cluster sampling method was used to select one junior high school in Minhang district of Shanghai, Haimen city of Jiangsu province, Yuhuan city of Zhejiang province and Deqing county of Zhejiang province respectively. A total of 491 girls in the first grade in 4 schools were included in the study. The subjects were examined with thyroid B-ultrasound and physical examination, and their morning random urine samples and fasting blood samples were collected to detect urinary iodine and thyroid function indexes. Puberty Development Self-rating Scale (PDS) was used to evaluate the stages of puberty; multiple linear regression models and logistic regression models were used to investigate the effects of different puberty stages on thyroid morphology and function.Results:There were differences in thyroid status among women at different stages of puberty. Thyroid volume, the rate of nodules and the level of FT4 were lowest in prepubertal period, followed by pubertal period and postpubertal period ( P<0.05). TT3 and FT3 levels were highest in prepubertal period, followed by pubertal period and postpubertal period ( P<0.001), and there was an opposite trend on the abnormal rate. TSH and TT4 levels were not affected by the stage of puberty ( P>0.05). Multiple linear regression analysis and multivariate logistic regression analysis showed consistent results. There was a negative correlation between puberty development and TT3 and FT3 levels. For each 1 point increase in PDS, TT3 and FT3 levels decreased by 0.067 nmol/L and 0.170 nmol/L in Model 1, respectively, and decreased by 0.065 nmol/L and 0.162 nmol/L in Model 2, respectively. Compared with the prepubertal period, the TT3 and FT3 levels were lower in postpubertal period (Model 1: OR=0.337, 95 %CI: 0.173-0.658; OR=0.283, 95 %CI: 0.144-0.557; Model 2: OR=0.306, 95 %CI: 0.155-0.605; OR=0.263, 95 %CI: 0.132-0.524). Conclusions:The process of puberty is related to the thyroid status in women. The better matured during the puberty, the larger volume the thyroid was, more likely the thyroid nodules appeared, and the levels of TT3 and FT3 was much lower.

Permanent magnet motor has been widely used in the field of artificial heart pump due to its high power density, high stability and easy control. In this paper, the development history and research progress of permanent magnet motor for blood pump were described. Firstly, the motors were classified according to their structures and application scenarios. And then, the measures taken by different types of motors to meet the corresponding performance requirements were introduced, and the specific application cases were given. After that, commonly used control algorithms of these motors were enumerated. What's more, the advantages and disadvantages of the control algorithms and their application emphasis were carefully explained. Finally, the paper was summarized in short.
Algorithms ; Blood Substitutes ; Heart, Artificial ; Magnetics ; Magnets ; Prosthesis Design

Objective: To investigate the effects of different developmental patterns on the increases of thyroid volume in children from different genders and periods, and to explore whether there is a synergistic effect on the initiation of puberty in girls, so as to provide a theoretical basis for reducing the risk of thyroid abnormalities in adulthood. Methods: A multi-stage cluster sampling was used to select a primary school in Minhang District of Shanghai, Haimen City of Jiangsu Province and Yuhuan city of Zhejiang Province. A total of 784 children aged 8-10 years old were included in "8-10 years school-aged children cohort". At the same time, a total of 491 girls aged 11-13 years were included in the "11-13 years adolescent girls cohort". The content of survey on follow-up was consistent with the one on baseline. B-ultrasonography was used to measure thyroid volume. The physical development indexes such as height (H), weight (W) and waist circumference (WC) were measured. The morning urine samples were collected and the urinary iodine content was detected. The changes of body mass index (BMI), waist circumference (WC), and thyroid volume (V) were calculated (d BMI, d WC, and d V, respectively). According to the changes of BMI and WC, the subjects were classified into four types of developmental changes, namely "B-LW-L (low d BMI, low d WC)" "B-LW-H (low d BMI, high d WC)" "B-HW-L (high d BMI, low d WC)" and "B-HW-H (high d BMI , high d WC)". Results In partial correlation analysis, thyroid volume was significantly correlated with BMI and WC at baseline or follow-up(P<0.05). The changes of thyroid volume in 8-10 years old boys were related to the changes of BMI and WC (P<0.05), the changes of thyroid volume in 8-10 year old girls were only associated with the changes of WC (P=0.03), and no association was found in 11-13 year old girls(P>0.05). In multivariate logistic regression analysis, after adjusting for baseline age, region, and differences of urinary iodine, the risk of thyroid volume increasing in B-HW-H was 2.70 times (95%CI=1.29-5.66) higher than that of B-LW-L in boys aged 8-10 years; among girls aged 11-13 years, the risk of thyroid volume increasing in B-LW-H, B-HW-L and B-HW-H were 2.46 times (95%CI=1.31-4.61), 2.16 times (95%CI=1.15-4.03) and 1.79 times (95%CI=1.07-2.99), respectively; there was no interaction between menarche age and developmental pattern on thyroid volume change trend (P=0.49). Conclusion The thyroid volume in children and adolescents increases with the development of physical development. Different developmental patterns and estrogens have certain effects on thyroid morphological changes. To avoid obesity in childhood (especially with central obesity), timely identify and effectively intervene thyroid morphological abnormalities in childhood，and to reduce the risk of thyroid diseases in adulthood.