Objective: To study the correlation between short sleep duration and screening myopia among primary and middle school students in Beijing, so as to provide a scientific basis for the comprehensive prevention and control of myopia among students. Methods: Using a stratified cluster random sampling, 25 593 primary and middle school students from 16 districts of Beijing were selected from September to November 2023. The National Common Diseases and Health Influencing Factors Monitoring Survey Questionnaire was used to conduct a questionnaire survey, and visual acuity was tested according to the Specification for the Screening of Refractive Error in Primary and Middle School Students. The reporting rates of short sleep duration and detection rates of screening myopia among primary and middle school students were compared using the Chi square test. Binary Logistic regression was used to analyze the correlation between short sleep duration and screening myopia. Results: About 68.63% of students reported short sleep duration. There was a statistically significant difference in the reporting rate of short sleep duration among students in different school stages ( χ 2=981.18, P <0.01), with the lowest reporting rate of vocational high school students (47.07%) and the highest reporting rate of ordinary high school students (76.17%). The detection rates of screening myopia among primary school students ( 57.09% ) and middle school students (76.53%) who reported short sleep duration were higher than those who reported enough sleep duration (52.65%, 71.94%), with satistically significant differences ( χ 2=14.83, 17.96, P <0.01). The results of binary Logistic regression analysis showed that primary and middle school students with short sleep duration had a higher risk of developing screening myopia, compared to students with enough sleep duration ( OR =1.25); after adjusting for confounding factors such as educational stage, gender, region, boarding situation, primary and secondary school students with short sleep duration still had a higher risk of screening myopia ( OR =1.26) ( P <0.01). The analysis results stratified by educational stage showed that primary school students from grades 4-6 and middle school students with short sleep duration had a higher risk of screening myopia ( OR=1.18, 1.20, P <0.01). Conclusions Primary and secondary school students in Beijing with short sleep duration sleep have a higher risk of developing screening myopia. Families, schools, and society should ensure enough sleep duration to reduce the occurrence of myopia among students.

In order to solve the problems of difficult test, high cost and long cycle in the development of large-scale airborne negative pressure isolation system, the simulation analysis of negative pressure response characteristics is carried out around various aviation conditions such as aircraft ascending, leveling and descending, especially rapid decompression, based on the computational fluid dynamics (CFD) method. The results showed that the isolation cabin could achieve -50 Pa pressure difference environment and form a certain pressure gradient. The exhaust air volume reached the maximum value in the early stage of the aircraft's ascent, and gradually decreased with the increase of altitude until it was level flying. In the process of aircraft descent, the exhaust fan could theoretically maintain a pressure difference far below -50 Pa without working; Under the special condition of rapid pressure loss, it was difficult to deal with the rapid change of low pressure only by the exhaust fan, so it was necessary to design safety valve and other anti-leakage measures in the isolation cabin structure. Therefore, the initial stage of aircraft ascent is the key stage for the adjustment and control of the negative pressure isolation system. By controlling the exhaust air volume and adjusting parameters, it can adapt to the change of low pressure under normal flight conditions, form a relatively stable negative pressure environment, and meet the needs of biological control, isolation and transport.
Aircraft ; Computer Simulation ; Aviation/instrumentation* ; Humans ; Hydrodynamics ; Air Pressure ; Equipment Design ; Pressure

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

The research on the cardiovascular toxicity of air pollutants is in urgent need of collaborative innovation across multiple models. This paper systematically reviewed the advantages and limitations of four principal research models of cardiotoxicity, including epidemiological model, mammalian model, zebrafish model, and in vitro model. Epidemiological models have been used to demonstrate a significant correlation between exposure to PM_2.5 and both the incidence and mortality of cardiovascular diseases within populations; however, these models face challenges in establishing causal inferences and interpreting individual mechanisms. Mammalian models have been applied to elucidate the pathogenic mechanisms of PM_2.5 at both the systemic and organ-specific levels, yet they encounter difficulties related to interspecies differences and throughput constraints. Zebrafish models, with their transparent embryos and observable development, offer a distinctive opportunity for high-throughput screening and mechanistic investigation of PM_2.5-induced cardiac developmental toxicity. Nonetheless, their cardiac physiological structure diverges from that of mammals, limiting their capacity to accurately model chronic conditions such as coronary heart disease. In vitro models, particularly human heart organoids and chip technologies, have provided profound insights into the direct toxic mechanisms of PM_2.5, including disruptions in calcium homeostasis, cellular senescence, and electrophysiological irregularities at the cellular and molecular levels. Despite these advancements, the complexity and developmental maturity of these models present challenges to their broader application. This paper proposed that the key to overcoming the bottlenecks of single models lies in the construction of an integrated evaluation system that combines “epidemiological studies, mammalian models, zebrafish models, and in vitro models”. By focusing on three aspects, namely model integration, technological convergence, and policy support, it is intended to collaboratively address issues such as standardization of multi-model data, simulation of complex exposure scenarios and susceptible life stages, and transformation pathways. This will provide innovative methodological support for the analysis of the cardiotoxic mechanisms of air pollutants, the assessment of environmental health impacts, and the formulation of precise prevention and control strategies.

In order to detect the environmental data of isolated cabin under various environmental conditions,a negative pressure cabin environment detector for aviation was developed,which was composed of a shell,a differential pressure transmitter,a pressure sensor,a carbon dioxide concentration sensor,an oxygen concentration sensor,a temperature and humidity sensor,a data processing module,a liquid crystal display(LCD)screen and USB data interface.It could environmental data such as carbon dioxide concentration,oxygen concentration,temperature,humidity,pressure difference between cabin and outside the cabin and air pressure outside the cabin in real time,the data processing module collected and processed the data,the data and data change curves was displayed in real time by the LCD screen,and the detection data was extracted through the USB data interface.When used in aviation environment,the detector could work continuously without fault for no less than 300 hours,and the average fault repair time was about 30 minutes,with good performance and high detection accuracy,which can provide convenience for the environmental data detection of negative pressure cabins,and is worthy of popularization.

Objective: To assess the nutritional status of primary and secondary school students in Beijing City and to analyze the related factors, so as to provide a scientific basis for improving the nutritional status of primary and secondary school students in a targeted manner. Methods: Based on the 2021 Beijing Student Common Diseases and Health Influencing Factors Surveillance Project, a stratified random cluster sampling method was used to conduct a physical examination and questionnaire survey on 25 487 primary and secondary school students from September to November 2021. The Chi square test was used for comparison of nutritional status detection rates, and disordered multi classification Logistic regression analysis was used to explore the factors associated with students nutritional status. Results: The detection rates of malnutrition, overweight and obesity among primary and secondary school students in Beijing City were 4.7%, 18.0% and 23.8% respectively. The detection rates of malnutrition, overweight and obesity were higher among male students (5.1%, 20.4%, 29.7%) than female students (4.2%, 15.5%, 17.4%) ( χ 2= 12.23, 101.71, 526.99, P <0.01). The detection rate of obesity was higher in the suburbs than urban areas(26.6%, 19.8%), and the detection rate of malnutrition was lower in the suburbs than urban areas (4.2%,5.5%)( χ 2=157.25, 23.61, P <0.01). The results of disordered multi classification Logistic regression showed that the related factors for malnutrition, overweight and obesity were gender, residence, moderate to vigorous exercise ≥60 min per day and lack of sleep( OR =1.70, 1.88,2.48; 1.14, 0.87, 0.67; 0.85, 0.92, 0.81 ; 0.83, 1.08, 1.07); frequency of fried food intake daily was a related factor for overweight ( OR =0.70); whether eating breakfast daily or not was a related factor for overweight and obesity ( OR =0.91, 0.84); academic level (middle and high school) was a related factor for malnutrition and obesity ( OR =1.38, 1.37; 0.77, 1.40)( P <0.05). Conclusions The problem of overweight and obesity among primary and secondary school students in Beijing City continues to be serious, especially among boys and suburban areas. It is recommended that society, schools, families and individuals should work together to improve the nutritional status of primary and secondary school students by adopting a graded and classified approach.

Objective: To analyze the status of health risk behaviors among middle school students in Beijing City from 2018 to 2022, in order to provide reference for scientific and effective intervention. Methods: Using multi stage stratified cluster random sampling method,data of student health and associated factors monitoring among 84 712 middle school students from 16 districts of Beijing during 2018 to 2022 were compared regarding the differences of health risk behaviors among students in different groups by Chi quare test. And their change trends were evaluated by annual percentage change (APC). Results: In the five surveys during 2018 to 2022,reporting rates of unhealthy diet, unintentional injury, intentional injury, substance abuse and Internet addiction (only in 2018 and 2020) behaviors were higher in boys than in girls ( χ 2=4.91-297.52, P ＜0.05).Reporting rate of physical inactivity behavior in girls was higher than that in boys ( χ 2=56.49-160.88, P ＜0.05). Reporting rates of unhealthy diet, physical inactivity, unintentional injury (except 2021), substance abuse and Internet addiction (only in 2018 and 2019) behaviors were the highest in vocational high school, followed by general high school, and the lowest in junior middle school ( χ 2=23.30-1 285.98, P ＜0.01). Intentional injury behavior was highest in junior high school, followed by vocational high school, and lowest in general high school ( χ 2=96.18-378.32, P ＜0.01).Reporting rate of Internet addiction (2020-2022) behavior was highest in general high school, followed by vocational high school, and lowest in junior high school ( χ 2=16.93-60.11, P＜0.01). Reporting rates of unhealthy diet, intentional injury (2020 and 2022) and substance abuse (except 2018) behaviors were higher in suburban areas than in urban areas (χ 2=6.70-117.56, P＜0.05). Reporting rates of physical inactivity, unintentional injury, intentional injury (2018 and 2019) and Internet addiction behaviors were higher in urban areas than in suburban areas (χ2=3.90-130.80, P＜0.05). Standardized rates of unintentional injury, intentional injury, substance abuse and Internet addiction behaviors showed a statistically significant downward trend from 2018 to 2022 (APC=-14.16, -13.43, -16.03, -8.48, t =-6.94, -4.46, -11.98, -4.36, P ＜0.05). Conclusions During 2018-2022, unintentional injury, intentional injury, substance abuse and Internet addiction behaviors of middle school students in Beijing City have improved, and the reporting rates of unhealthy diet and physical inactivity behaviors are high and don t show a downward trend. Efforts should be made to strengthen intervention in unhealthy diet and physical inactivity behaviors among middle school students, in order to reduce the occurrence of health risk behaviors.

Objective: To analyze high myopia and dioptre changes in middle school students in Beijing from 2019 to 2022, so as to provide a basis for formulating preventive and control measures. Methods: Using stratified cluster random sampling, 16 districts of Beijing were divided into four groups, each of which was respectively composed of 83, 83, 84, and 84 middle schools, in order to examine non cycloplegic auto refraction among the senior grades 1 to 3 students from September to October in each year (from 2019 to 2022). Finally, the dataset results of each of the four groups (21 589, 21 161, 21 561, 21 123) were compared by the Chi square test and trend Chi square test. Trend changes were evaluated by annual percentage change (APC). Results: The rates of high myopia were higher in female students than in males from 2019 to 2022 (15.60%,14.59%; 15.33%, 14.44%; 14.65 %, 14.17%; 14.63%,13.84%), and the difference in 2019 was statistically significant ( χ 2=4.93, P <0.05). The rates of high myopia in middle school students in urban areas were significantly higher than those in rural areas(16.45%, 13.78%; 16.81 %, 13.00%; 15.84%, 13.06%; 15.85%, 12.72%), and the differences were statistically significant ( χ 2=30.18, 60.43, 33.92 , 42.23, P <0.05). With the increase of grade, the rates of high myopia increased ( χ 2 trend =674.56, 608.38, 655.21, 676.89, P <0.05), with junior grade 3 students being the most robust. The rate of high myopia in middle school students from 2019 to 2022 decreased from 15.09 to 14.22%, with an average annual rate of 2.08% ( APC=-2.08, t=-7.99, P ＜0.05). The refractive error of high myopia middle school students in 2019 and 2022 were -7.44(-10.25, -6.00) and -7.38(-10.00, -6.00)D, respectively, with no statistically significant difference ( H=4.30, P >0.05). Conclusions The rate of high myopia in middle school students in Beijing shows a decreasing trend, but it remains at a high level. It is necessary to classify the prevention and control strategy, and standardize the measures in order to manage early onset, high incidence rates, and severe myopia.

Objective: To investigate the prevalence of depression and anxiety and its relationship with bullying and violent behaviors among middle school students in Beijing, so as to provide a scientific basis for promoting the mental health of middle school students. Methods: A total of 18 379 junior high school, general high school, and vocational high school students from 16 districts of Beijing were selected by stratified cluster random sampling from September to November, 2023. The χ2 test was used to analyze the depression or anxiety symptom and injuryrelated behaviors such as bullying among middle school students. Logistics regression was used to analyze the correlation between depression or anxiety symptom and injury correlation behaviors among middle school students. Results: The detection rates of depression symptoms and anxiety symptoms were 18.2% and 8.6% among middle school students in Beijing, and the comorbidity was 7.6%. The reporting rate of school bullying was 3.3%. The results of Logistic regression showed that girls (OR=1.23), high school students (OR=1.85) and vocational high school students (OR=1.91), school bullying (OR=3.83), being scolded and beaten by parents (OR=3.32) and being exposed to cyber violence (OR=4.43) were positive factors related to depression symptoms; and nonresidential students (OR=0.87) was a negative factor related to depression symptoms (P<0.05).Girls (OR=1.32), high school students (OR=1.77) and vocational high school students (OR=1.50), school bullying(OR=3.63), being scolded and beaten by parents (OR=3.41) and being exposed to cyber violence (OR=3.33) were positive factore related to anxiety symptoms (P<0.05). Conclusions The depression and anxiety symptoms among middle school students in Beijing are closely related to the behaviors of school bullying and experiencing violence from parents or the Internet. Various measures should be taken to reduce the situation of school bullying, being scolded and beaten by parents and cyber violence among middle school students to promote their mental health.