Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

Background The effects of meteorological factors and air pollutants on ischemic heart disease (IHD) hospitalizations in Urumqi have not been fully understood. Objective To investigate the effects of meteorological conditions (temperature, relative humidity) and common air pollutants [fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), ozone (O₃), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO)] on the daily hospitalization volume of IHD, and to provide a scientific basis for the development of targeted prevention and management strategies. Methods Basic information of 90622 IHD hospitalized patients in Urumqi City was collected from January 1, 2014 to December 31, 2022, and daily air pollutant concentration data and meteorological data were collected during the same period. The meteorological data included daily mean temperature, daily maximum temperature, daily minimum temperature, and daily mean relative humidity, and the common air pollutants included PM_2.5, PM₁₀, daily maximum 8-h average concentration of O₃ (O₃_8 h), SO₂, NO₂, and CO. Descriptive statistical analyses (mean, standard deviation, and quartiles) were performed on the collected data. A distribution lag nonlinear model (DLNM) based on time-stratified case-crossover design was established to estimate the lagged effects (RR) as well as the cumulative lagged effects (RR_cum) of daily mean temperature, relative humidity, and different air pollutants on the number of IHD admissions, stratified by gender and age (<60 and ≥60 years). Subsequently, a generalized additive model (GAM) was used to explore the effects of cold waves (≤ P₅ of the daily minimum temperature and lasting ≥3 d) versus heat waves (≥ P₉₅ of the daily maximum temperature and lasting ≥3 d) on IHD hospitalizations and the potential interactions between temperature and the more influential air pollutants [particulate matter (PM) and O₃_8 h] on IHD hospitalizations. Results The maximum number of IHD hospitalizations in a single day in Urumqi from January 1, 2014 to December 31, 2022 was 100, and the average daily number of hospitalized IHD patients was 27. Daily mean temperature, relative humidity, and air pollutants had different nonlinear relationships and hysteresis with IHD hospitalizations. Extremely low temperatures (<P₁: −18 °C) showed the greatest risk to admission for the total IHD population at a cumulative lag of 31 d (lag0-31) (RR_cum=2.092, 95%CI: 1.261,3.471). Female [lag0-31, RR_cum and 95%CI: 3.416 (2.296,5.082)] and people ≥60 years old [lag0-31, RR_cum and 95%CI: 2.356 (1.681,3.303)] were more sensitive to extremely low temperatures. The risk of IHD hospitalization was greatest on lag20 for cold waves (RR=1.242, 95%CI: 1.053, 1.465), and no lagged effect of heat waves on the number of IHD hospitalizations was found. There was a positive interaction (SI >1, P<0.001) between temperature, PM, and O₃_8 h on the risk of IHD hospitalization, especially for low temperature-high PM and O₃_8 h. Conclusion Both low temperature and high pollutant concentrations associate with an increase in IHD hospitalizations with lagged effects in Urumqi from 2014 to 2022, while cold waves associate with a higher risk of IHD admissions. Females and people aged 60 years and older are at high risk.

Background and objective Small cell lung cancer(SCLC)is known as recalcitrant cancer with high malignancy and heterogeneity.Immunotherapy has changed the treatment pattern of extensive-disease SCLC(ED-SCLC),but the beneficiary population is limited.Therefore,exploring new therapeutic strategies is an urgent clinical problem to be solved for SCLC.SCLC is characterized by highly active glycolytic metabolism and pyruvate kinase Ml(PKM1)is one of the isozymes of PK,an important rate-limiting enzyme in glycolysis pathway.Previous studies have shown that PKM1 is related to autophagy and drug sensitivity,however,how PKM1 regulates drug sensitivity in SCLC and its mechanism remain unclear.The aim of this study was to investigate the biological functions of PKM1 in SCLC,including its effects on proliferation,migra-tion,autophagy,drug sensitivity,and expression of neuroendocrine(NE)-related markers in SCLC.Methods Western blot was used to detect the expression level of PKM1 in SCLC cells.PKM1 gene-overexpressed SCLC cell lines were constructed by stable lentivirus transfection.Proliferation of cells and drug sensitivity were detected by MTT,and migration ability of cells was determined by Transwell.The level of autophagy was detected by flow cytometry.Western blot was used to determine the expression levels of NE-related proteins.Results PKM1 was differentially expressed among various SCLC cell lines,and was lower in H1092 cells(P＜0.01).Compared with the control group,there was no significant difference in proliferation level of PKM1 overexpressing H1092 cell,but the migration ability was significantly increased(P＜0.001),the drug sensitivity was re-duced,and the level of autophagy was inhibited(P＜0.001).Additionally,overexpression of PKM1 could upregulate the expres-sion of non-neuroendocrine(non-NE)-related proteins(P＜0.01)and decrease the expression of NE-related proteins(P＜0.01).Conclusion PKM1 was differentially expressed in SCLC cell lines,and high expression of PKM1 did not affect the prolifera-tion,but affected the migration of SCLC cells.PKM1 might affect drug sensitivity by inhibiting autophagy and regulating the expression of NE markers.These results provide a theoretical basis for exploring the role of PKM1 in SCLC.

Background Public places are frequently polluted by cigarette smoking, and there is a lack of accurate, real-time, and intelligent monitoring technology to identify smoking behavior. It is necessary to develop a tool to identify cigarette smoking behavior in public places for more efficient control of cigarette smoking and better indoor air quality. Objective To construct a model for recognizing cigarette smoking behavior based on real-time indoor concentrations of PM_2.5 in public places. Methods Real-time indoor PM_2.5 concentrations were measured for at least 7 continuous days in 10 arbitrarily selected places (6 public service providers and and 4 office or other places) from Oct. to Nov. 2022 in Pudong New Area, Shanghai. Indoor nicotine concentrations were monitored with passive samplers simultaneously. Outdoor PM_2.5 concentration data were obtained from three municipal environmental monitoring stations which were nearest to each monitoring point during the same period. Mann-Whitney U test was used to compare indoor and outdoor means of PM_2.5 concentrations, and Spearman rank correlation was used to analyze indoor PM_2.5 and nicotine concentrations. An interactive plot and a random forest model was applied to examine the association between video observation validated indoor smoking behavior and real-time indoor PM_2.5 concentrations in an Internet cafe. Results The average indoor PM_2.5 concentration in the places providing public services [(97.5±149.3) µg·m⁻³] was significantly higher than that in office and other places [(19.8±12.2) µg·m⁻³] (P=0.011). The indoor/outdoor ratio (I/O ratio) of PM_2.5 concentration in the public service providers ranged from 1.1 to 19.0. Furthermore, the indoor PM_2.5 concentrations in the 10 public places were significantly correlated with the nicotine concentrations (r_s=0.969, P<0.001). Among them, the top 3 highly polluted places were Internet cafes, chess and card rooms, and KTV. The results of random forest modeling showed that, for synchronous real-time PM_2.5 concentration, the area under the curve (AUC) was 0.66, while for PM_2.5 concentration at a lag of 4 min after the incidence of smoking behavior, the AUC increased to 0.72. Conclusion The indoor PM_2.5 concentrations in public places are highly correlated with smoking behavior. Based on real-time indoor PM_2.5 monitoring, a preliminary recognition model for smoking behavior is constructed with acceptable accuracy, indicating its potential values applied in smoking control and management in public places.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

ObjectiveTo understand the experience， knowledge and attitudes of e-cigarette users in Shanghai， and to provide evidence for the development of intervention programs for e-cigarette use. MethodsThe Respondent-Driven Sampling （RDS） method was used to recruit 40 e-cigarette users for qualitative interviews from November 2020 to February 2021. NVivo （11.0） software was used to code interview records， and the thematic pattern and relationship analysis were conducted. ResultsIn terms of the reasons and user experience of e-cigarette use， most respondents used e-cigarettes for the first time after recommendation of friends； The reasons for the current use of e-cigarettes focus on the subjective feelings generated by the use of e-cigarettes （easy to use， replacing traditional tobacco， and having many flavors）. Compared with traditional tobacco use， respondents said e-cigarettes tasted good and had no physical impact （they could be used all the time without making them uncomfortable）. In terms of the awareness of e-cigarette use related knowledge， the respondents' opinions on whether e-cigarettes caused health risks were mostly based on their own experience of using them， and they said it was difficult to identify real information online. As for whether they were interested in relevant knowledge， most respondents said they wanted to learn about the professional knowledge related to e-cigarettes. Regarding the attitude related to the use of e-cigarettes， most respondents believed that e-cigarettes are addictive， e-cigarettes are not a safe alternative to traditional tobacco， ande-cigarettes couldn't help them quit smoking. Three out of ten respondents said they supported including e-cigarettes in the Regulation on Smoking Control in Public. ConclusionThere are certain characteristics of e-cigarette users' feelings， related knowledge and attitude towards e-cigarette use that should be targeted to carry out publicity， education and intervention.

OBJECTIVE To provide a reference for establishing an automatic checking mode and improving the checking efficiency of the unit dose dispensing system of oral drugs in hospital. METHODS The automatic checking process reengineering team was established in our hospital. ECRSI method was adopted to sort out the verification process and mode of drug bags for the unit dose formula of our hospital through five principles of eliminating， combining， rearranging， simplifying and increasing， and the hardware series problem and the problem of excessive system false-positive proportion were optimized. The drug bags for the unit dose formula were randomly selected from 10 wards， the efficiency and external error rates of manual check and automatic checking mode before and after optimization were compared， and the false-positive reporting failure in automatic checking mode was also compared before and after optimization. RESULTS After the establishment of the automatic checking mode of the unit dose formula for oral drugs， the average checking time of drug bags was significantly shorter than that of manual checking mode in the other 8 wards except for cardiovascular and renal departments （P＜0.05）. After the optimization of the automatic checking mode， the average checking time of drug bags in all wards was significantly shorter than that in manual checking mode （P＜0.05）. Compared with before optimization of the automatic checking mode， the average checking time of drug bags was shortened by 0.43 s， and the average checking time of drug bags in half of the wards was shortened significantly （P＜0.05）. At the same time， the false-positive proportion decreased from 96.83% before optimization to 92.76% after optimization （P＜0.05）. The external error rate dropped from 0.039‰ in manual checking mode to 0.019‰ before optimization and 0.015‰ after optimization （P＜0.05）. CONCLUSIONS Based on ECRSI method， the automatic checking mode for the unit dose dispensing system of oral drugs can effectively reduce the average checking time of drug bags， reduce external error and improve the work efficiency of pharmacists.

Objective: To study the positive effect and mechanism of histone deacetylase Sirtuin 1 (Sirt1) on the osteogenic capacity of inflammatory PDLSCs. Methods: PDLSCs were isolated and cultured from the healthy individuals and periodontitis patients , the expression of Sirt1 in two types of PDLSCs was observed;osteogenic induction of inflammatory PDLSCs was performed , concurrently Sirt1 agonist resveratrol was used to up⁃regulate the expression of Sirt1 , then the osteogenic differentiation was observed , the expressions of Runx2 , acetylated NF⁃κB , acetylated FoxO1 and FoxO1 were assessed by Western blot. Results : The protein expression of Sirt1 was suppressed in in flamed PDLSCs( P < 0. 01) ;resveratrol could up⁃regulate the expression of Sirt1 in inflamed PDLSCs;compared with the osteogenic induction group , the osteogenesis + resveratrol group increased the expression of BSP ( t =14. 045 ,P < 0. 01) , Runx2( t = 3. 349 ,P < 0. 01) , OCN( t = 7. 218 ,P < 0. 01) and Osx ( t = 4. 544 ,P < 0. 01) mRNA in inflamed PDLSCs , and enhanced ALP staining(P < 0. 01) ;expression of FoxO1( t = 8. 737 , P < 0. 01) and Runx2( t = 6. 152 , P < 0. 01) increased after osteogenesis of inflamed PDLSCs ; in the osteogenesis + resveratrol group , the expression of Sirt1 was up⁃regulated , and the expression of FoxO1( t = 5. 912 ,P < 0. 01) and Runx2( t =6. 277 ,P < 0. 01) further increased compared with the osteogenic induction group ,while the expression of acetylated NF⁃κB(F = 184. 033 ,P < 0. 01) and acetylated FoxO1(F = 301. 454 , P < 0. 01) was significantly lower than that of control group and osteogenic induction group. Conclusion The deacetylase Sirt1 could promote the osteogenic differentiation of inflammatory PDLSCs through deacetylating NF⁃κB and FoxO1 .

The effective classification of multi-task motor imagery electroencephalogram (EEG) is helpful to achieve accurate multi-dimensional human-computer interaction, and the high frequency domain specificity between subjects can improve the classification accuracy and robustness. Therefore, this paper proposed a multi-task EEG signal classification method based on adaptive time-frequency common spatial pattern (CSP) combined with convolutional neural network (CNN). The characteristics of subjects' personalized rhythm were extracted by adaptive spectrum awareness, and the spatial characteristics were calculated by using the one-versus-rest CSP, and then the composite time-domain characteristics were characterized to construct the spatial-temporal frequency multi-level fusion features. Finally, the CNN was used to perform high-precision and high-robust four-task classification. The algorithm in this paper was verified by the self-test dataset containing 10 subjects (33 ± 3 years old, inexperienced) and the dataset of the 4th 2018 Brain-Computer Interface Competition (BCI competition Ⅳ-2a). The average accuracy of the proposed algorithm for the four-task classification reached 93.96% and 84.04%, respectively. Compared with other advanced algorithms, the average classification accuracy of the proposed algorithm was significantly improved, and the accuracy range error between subjects was significantly reduced in the public dataset. The results show that the proposed algorithm has good performance in multi-task classification, and can effectively improve the classification accuracy and robustness.
Humans ; Adult ; Imagination ; Neural Networks, Computer ; Imagery, Psychotherapy/methods* ; Electroencephalography/methods* ; Algorithms ; Brain-Computer Interfaces ; Signal Processing, Computer-Assisted

Objective:To study the efficacy and influencing factors of ursodeoxycholic acid (UDCA) in the treatment of cholesterol gallstone, so as to provide reference for the treatment of cholesterol gallstone by internal medicine.Methods:From March 1, 2017 to March 31, 2018, at outpatient department of gastroenterology of 9 Beijing medical centers including Peking University People′s Hospital, the Sixth Medical Center of PLA General Hospital, Beijing Huaxin Hospital, PLA Rocket Force Characteristic Medical Center, Peking University Aerospace Center Hospital, Beijing Youan Hospital of Capital Medical University and Beijing Tiantan Hospital of Capital Medical University, Beijing Tongren Hospital of Capital Medical University, and Beijing Shijitan Hospital of Capital Medical University, the data of patients with cholesterol gallstone treated by UDCA were collected. The inclusion criteria were that the largest diameter of stone was ≤10 mm and the stone was not detected under X-ray. The treatment plan was taking UDCA orally for 6 months at a dose of 10 mg·kg -1·d -1. The basic information of patients, the ultrasound examination results before treatment and 6 months after treatment, and scores of biliary abdominal pain and dyspepsia symptom were collected. Univariate and multivariate logistic regression were used to analyze the influencing factors of the efficacy in gallstrone dissolution by UDCA, and Wilcoxon signed rank test was used for statistical analysis. Results:A total of 215 patients were enrolled. The complete dissolution rate of gallstone was 19.5% (42/215) and partial dissolution rate was 50.7% (109/215), and the total effective rate was 70.2% (151/215). The complete dissolution rate of sandy stone was significantly higher than that of lumped stones (37.0%(17/46) vs. 14.8%(25/169); OR=3.377, 95% confidence interval (95% CI) 1.621 to 7.035, P=0.001). In lumped stones, the complete dissolution rate of the stones with diameter ≤5 mm was significantly higher than that of the stones with diameter >5 mm (37.5%(9/24) vs. 11.0%(16/145); OR=4.837, 95% CI 1.823 to 12.839, P=0.002). The complete dissolution rate of patients with higher body mass index ( OR=0.872, 95% CI 0.764 to 0.995, P=0.043) and longer disease course ( OR=0.942, 95% CI 0.912 to 0.973, P<0.001) was low. The results of multivariate logistic analysis indicated that long disease course of gallstone ( OR=0.940, 95% CI 0.908 to 0.974, P=0.001), rough gallbladder wall ( OR=0.438, 95% CI 0.200 to 0.962, P=0.040) and lumped stone ( OR=0.236, 95% CI 0.101 to 0.550, P=0.001) were independent risk factors of influencing the efficacy of stone dissolution by UDCA. As for lumped stones, the independent risk factors included long disease course of gallstone ( OR=0.926, 95% CI 0.877 to 0.978, P=0.006) and stone diameter >5 mm ( OR=0.142, 95% CI 0.043 to 0.470, P=0.001). After 6 months of UDCA treatment, score of biliary abdominal pain decreased from 0 (0 to 6) to 0 (0 to 0) and the score of dyspepsia symptom decreased from 1 (0 to 2) to 0 (0 to 0), and the differences between before treatment and after treatment were statistically significant ( Z=-8.50, and -9.13, both P<0.001). Conclusions:UDCA has a certain efficacy in cholesterol gallstone dissolution and can ease biliary abdominal pain and dyspepsia symptom. Long disease course of gallstone, rough gallbladder wall and stone diameter >5 mm are independent risk factors of poor efficacy in gallstone dissolution by UDCA.