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In situ surface wind observation is a critical meteorological data source for various research fields. However, data quality is affected by factors such as surface friction changes, station relocations and anemometer updates. Previous methods to address discontinuities have been insufficient, and processing methods have not always adhered to World Meteorological Organization (WMO) World Climate Programme guidelines. We analyzed data discontinuity caused by anemometer changes and station relocations in China's daily in situ near-surface (∼ 10 m) wind speed observations and the impact of the processing methods on wind speed trends. By comparing the wind speed discontinuities with the recorded location changes, we identified 90 stations that showed abnormally increasing wind speeds due to relocation. After removing those stations, we followed a standard quality control method recommended by the World Meteorological Organization to improve the data reliability and applied Thiessen polygons to calculate the area-weighted average wind speed. The result shows that China's recent reversal of wind speed was reduced by 41 % after removing the problematic stations, with an increasing trend of 0.017 m s -1 yr -1 (R2 = 0.64, P < 0.05), emphasizing the importance of robust quality control and homogenization protocols in wind trend assessments. [ABSTRACT FROM AUTHOR]

Research Findings: Online Teaching Video Cases (OTVCs) are an increasingly utilized digital learning resource for training pre-service preschool teachers (PPTs). This study employed an integrated framework integrating the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) to examine the factors that influence PPTs' perceived learning performance and satisfaction, as well as the interactive relationships among these factors. Survey participants (N = 269) were randomly sampled from seven normal universities and colleges in Shandong province (China). A partial least squares structural equation modeling approach was used to test the study's hypotheses. The findings of this study demonstrate that the actual usage of OTVCs significantly affects PPTs' learning performance and subsequent learning satisfaction, which in turn is directly influenced by expectation confirmation and learning performance. Practice or Policy: As such, this study highlights the potential of OTVCs as an effective digital learning resource for PPTs. The proposed framework combining TAM and ECM can largely explain PPTs' learning satisfaction with OTVCs. Teacher educators are encouraged to provide PPTs with applicable video-based instructional cases to optimize their learning experiences. [ABSTRACT FROM AUTHOR]

In the education field, professional learning communities (PLCs) are regarded as an effective method for fostering professional development for teachers, enhancing student learning and achievement, and promoting school reform. Quality leadership and management are understood to be essential for schools to become effective PLCs. Mainly proposed by Western scholars, existing PLC frameworks explicitly or implicitly assume that PLCs should be initiated and led by teachers themselves, following a bottom-up approach. The goal of this conceptual overview paper is to challenge certain taken-for-granted core principles of Western PLC frameworks by analyzing the current approach to PLCs adopted by preschools in mainland China, which follow a top-down leadership and management approach. We review multiple research streams, including policy frameworks and regulations, as well as the most relevant conceptual, theoretical, and empirical studies published in recent years. After reviewing China's core socio-cultural traditional values, we describe the recent policies that have mandated the establishment and implementation of PLCs in Chinese preschools. We then review several recent studies that demonstrate that, despite profound differences to Western frameworks, PLCs in Chinese preschools are effective in benefitting teachers and highly regarded by the relevant stakeholders. The literature shows that Chinese preschools enact culturally situated versions of PLCs, characterized by some standard PLC principles (e.g., shared vision, collaboration, and collective responsibility) alongside features that resonate with Confucian values (e.g., strong hierarchical structure, guidance of external experts, internal leadership support, and greater emphasis on ecological support rather than personal agency and autonomy). We conclude that Chinese preschools merit international attention, as their approach to leadership and management allow us to reconsider certain core principles of Western PLC frameworks. Future directions for PLC policy and practice are suggested. [ABSTRACT FROM AUTHOR]

Background: Perioperative hypothermia and shivering are common and can cause adverse outcomes. The aim of this study was to investigate the incidence of postoperative hypothermia and shivering and their risk factors in patients undergoing malignant tumor surgery. Methods: This retrospective study collected data from patients with American Society of Anesthesiologists physical status (ASA) I or II who underwent scheduled surgery from November 2020 to March 2021 at Fudan University Shanghai Cancer Center. Each patient's core body temperature was measured at three time points: time point 1 (arrival at the postanesthesia care unit (PACU)), time point 2 (after 30-min care in the PACU), and time point 3 (at discharge from the PACU). At time point 1, if the patient's body temperature was below 36 ℃, we provided an active forced-air warmer. At time point 2, if it was still below 36 ℃, the forced-air warmer was still applied until the patient was discharged from the PACU. If it reached 36 ℃, the forced-air warmer would be switched off. Univariate and multivariate logistic regression combined with stepwise methods and linear regression were used to explore risk factors for postoperative hypothermia and shivering. Results: The numbers (percentage) of 202 patients who developed postoperative hypothermia at the different time points were 52 (25.7%), 37 (18.3%) and 28 (13.9%). Eight patients (4.0%) experienced shivering. Multivariate logistic regression showed that high weight (OR = 0.923, 95% CI: 0.884 to 0.964, P = 0.0003) and low estimated blood loss (OR = 0.252, 95% CI: 0.115 to 0.550, P = 0.0005) were protective factors against hypothermia, while long surgical duration (OR = 3.339, 95% CI: 1.675 to 6.655, P = 0.0006) was an independent risk factor for hypothermia at time point 1. There was no risk factor associated with the occurrence of shivering (P > 0.05). There was a significant difference between the hypothermia and normothermia groups in the median length of stay in the PACU (59.0 vs. 49.0 min, P = 0.0123). Conclusions: Postoperative hypothermia occurred frequently. Weight, estimated blood loss and surgical duration were significantly associated with hypothermia on arrival at the PACU. [ABSTRACT FROM AUTHOR]

Quantitative analysis of the contribution rate of China’s hydraulic science and technology and analysis of the underlying reasons behind changes provide an important foundation upon which the government can formulate water policies. This paper abandons the assumption of a scale economy and separates the changes of benefits brought about by the scale from scientific and technological progress, thus changing the C-D production function from linear to nonlinear. Based on a feedforward neural network, it calculates the coefficient of the output elasticity, the economic contribution rate of China’s hydraulic science and technology and the scale economies for each year using relevant data from 1981 to 2016. The results show that (1) the average contribution rate of capital investment from 1981 to 2016 was 47.3%, and the average contribution rate of labor from 1981 to 2016 was 9.1%. It is not obvious that the significant increase in the labor force has contributed to the growth of China’s water conservancy industry. (2) The average contribution rate of scale economies in 1981–2016 was 26.7%, and the contribution rate of scale economies is negatively correlated with the capital contribution rate. (3) The average contribution rate of China’s hydraulic science and technology was 43.6% from 1981 to 2016, and the average contribution rate of the total factor productivity after removing scale economies from 1981 to 2016 was 16.9%. During the period of the 6th Five-Year Plan(1981~1985), the contribution rate of water conservancy science and technology was relatively high. Since that time, it has remained at 40%. In recent years, as water conservancy reforms in key areas have made positive progress, scientific and technological progress has increased the growth of water conservancy benefits annually. [ABSTRACT FROM AUTHOR]

China is facing severe pressure on its water resources and water environments. Calculating the industrial water efficiency of each province is an important index for the central government to evaluate local governments. In the traditional water resources evaluation index, the industrial water use efficiency and pollutant discharge are evaluated separately. In this paper, we collected industrial input data, output data and pollutant discharge data with a four-stage data envelopment analysis to calculate China's industrial water use efficiency with and without considering pollutant discharge, and then analyzed the factors influencing the industrial water use efficiency. The results show that the eastern coastal provinces of China have the highest water use efficiency and are less affected by pollutant discharge than other provinces. The industrial water use efficiency of the central and western provinces is lower than that of the other provinces, and the industrial water use efficiency in the central provinces is greatly affected by pollutant discharge. Factor endowment, economic development level, scientific and technological progress, industrial structure, proportion of foreign investment, water consumption per 10000 yuan of value-added by industry, industrial sewage treatment capacity and educational investment have a significant influence on the industrial water use efficiency of China. We suggest that the government strengthen the construction of sewage plants and other related infrastructure in central provinces when conducting the industrial transfer of heavy polluting enterprises. [ABSTRACT FROM AUTHOR]

Improving the bed allocation policy can alleviate the blocking, a situation where admitted patients cannot be transferred from the Emergency Departments (the upstream) to inpatient departments (the downstream) due to unavailability of beds. We aim to find a bed allocation policy that reduces the blocking probability and improves bed utilisation considering the interaction between the neighboring departments, as well as the priorities of different departments. This concept and the proposed model are tested in a real-life case at a hospital in China. A two-stage bed allocation simulation model is developed to evaluate the effect of bed assignment on the blocking probability and bed utilisation. Results show that the blocking probabilities can be reduced by 1.32%–8.98% and 1.74%–4.16% under different priority assignment cases and total number of beds. Sensitivity analyses are performed to examine the effect of varying patient arrival rate on the performance of bed allocation policy. [ABSTRACT FROM AUTHOR]

Perioperative blood transfusion still takes a large proportion in inappropriate blood transfusion. As the data are limited in China, we reported a perioperative red blood cell (RBC) transfusion practices in a tertiary hospital in Guangzhou, China. In 2008–2009, patients who underwent elective surgeries receiving RBC transfusions were recorded and the rate of overtransfusion was analyzed. Overtransfusion was defined as discharge hemoglobin (Hb) exceeding 10g/dL. The median amount of RBC transfused perioperatively was four units in all 2572 patients. The overall rate of overtransfusion was 48.6% and the Department of Neurosurgery had the highest overtransfusion rate. These results are of great use for the future management of blood resource. [ABSTRACT FROM AUTHOR]

Background: The evidence on the effects of extreme meteorological conditions and high air pollution levels on incidence of hand, foot and mouth disease (HFMD) is limited. Moreover, results of the available studies are inconsistent. Further investigations are imperative to elucidate the specific issue., Methods: Data on the daily cases of HFMD, meteorological factors and air pollution were obtained from 2017 to 2022 in Jining City. We employed distributed lag nonlinear model (DLNM) incorporated with Poisson regression to explore the impacts of extreme meteorological conditions and air pollution on HFMD incidence., Results: We found that there were nonlinear relationships between temperature, wind speed, PM 2.5 , SO 2 , O 3 and HFMD. The cumulative risk of extreme high temperature was higher at the 95th percentile ( P 95 th) than at the 90th percentile( P 90 th), and the RR values for both reached their maximum at 10-day lag ( P 95 th RR = 1.880 (1.261-2.804), P 90 th RR = 1.787 (1.244-2.569)), the hazardous effect of extreme low temperatures on HFMD is faster than that of extreme high temperatures. The cumulative effect of extreme low wind speeds reached its maximum at 14-day lag ( P 95 th RR = 1.702 (1.389-2.085), P 90 th RR = 1.498(1.283-1.750)). The cumulative effect of PM 2.5 concentration at the P 90 th was largest at 14-day lag ( RR = 1.637 (1.069-2.506)), and the cumulative effect at the P 95 th was largest at 10-day lag ( RR = 1.569 (1.021-2.411)). High SO 2 concentration at the P 95 th at 14-day lag was associated with higher risk for HFMD ( RR : 1.425 (1.001-2.030))., Conclusion: Our findings suggest that high temperature, low wind speed, and high concentrations of PM2.5 and SO2 are associated with an increased risk of HFMD. This study not only adds insights to the understanding of the impact of extreme meteorological conditions and high levels of air pollutants on HFMD incidence but also holds practical significance for the development and enhancement of an early warning system for HFMD., Competing Interests: The authors declare that they have no competing interests., (© 2024 Cao et al.)

Although accumulative studies have revealed the associations between air pollutants and elevated risk of gestational hypertension (GH), evidence from developing countries with relatively higher levels of air pollutants remains limited. In this retrospective study, a total of 45,439 birth records were collected in Beijing, China from 2013 to 2018. For PM 2.5 , SO 2 , NO 2 , and O 3 , exposure windows from the 3rd month of preconception to the 6th month of conception and the averages of 3 months of preconception, trimester 1 and trimester 2 periods were all calculated for assessment of GH risks. The correlations between air pollutants and the risk of GH were analyzed by logistic regression model. Our results showed that exposure to PM 2.5 and SO 2 in the preconceptional and early pregnancy periods was related to the elevated risk of GH. Furthermore, 3 months preconceptional exposure to PM 2.5 (PCPM 2.5 : OR = 1.134 (1.114, 1.155)) and SO 2 (PCSO 2 : OR = 1.158 (1.135, 1.181)) showed a higher risk of GH than the results of the trimester 1 (T1PM 2.5 : OR = 1.131 (1.104, 1.159); T1SO 2 : OR = 1.164 (1.141, 1.187)) and the trimester 2 (T2PM 2.5 : OR = 1.154 (1.126, 1.182); T2SO 2 : OR = 1.121 (1.098, 1.144)). The study also found significant and higher OR values for PCPM 2.5 , and PCSO 2 from 2013 to 2016 when air pollution was serious in Beijing compared with 2017 to 2018 when the air pollution was obviously improved. Subgroup analysis also found that during 3 months of preconception women with higher age and who exposure to higher temperatures showed higher GH risk from PM 2.5 and SO 2 than that of the younger group and who exposure to lower temperature, respectively. Collectively, our findings suggest that air pollution exposure was adversely associated with GH in pregnant women and the preconceptional period is a critical air pollution exposure window for GH. Improving air quality can benefit public health, especially for sensitive populations like pregnant women., Competing Interests: Declaration of competing interest The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Birth weight is an important indicator of future growth and development for newborns. Few studies investigated the potential effects of air pollutants on macrosomia and their susceptible windows. We included 38,971 singleton full-term births from Beijing HaiDian Maternal and Child Health Hospital between 2014 and 2018, and assessed the associations of air pollutants exposure during preconception and pregnancy with macrosomia as well as the corresponding susceptible windows. The concentrations of air pollutants (PM 2.5 , PM 10 , SO 2 , NO 2 , CO and O 3 ) for participants were calculated by the data from the nearest monitoring stations. Distributed lag models (DLM) incorporating logistic regression models were used to estimate the associations between air pollutants exposure during the 3 months before conception and pregnancy period and the risk of macrosomia, identifying susceptible windows of air pollutants. Weighted quantile sum (WQS) regression was applied to estimate the joint effect of air pollutants. A 10 μg/m 3 increase in PM 2.5 exposure from 3rd to 8th gestational month was positively associated with the risk of macrosomia, with the strongest effect in the 6th month (OR = 1.010, 95 % CI: 1.002-1.019). For a 10 μg/m 3 increase in SO 2 , the windows of significant exposure were from the 1st preconception month to the 3rd gestational month, with the strongest effect in the 2nd month (OR = 1.030, 95 % CI: 1.010-1.049). We also observed the significant positive associations were in the 5th-8th gestational months for PM 10 , the 8th-9th gestational months for NO 2 and the 3rd-7th gestational months for CO respectively. WQS regression also indicated a positive association between co-exposure to air pollutants and macrosomia. Our results suggest air pollution exposure is associated with increased risk of macrosomia. The windows of exposure for susceptibility to the risk of macrosomia vary between air pollutants. The susceptible exposure windows were middle and late pregnancy for PM, CO and NO 2 , while for SO 2 , early pregnancy is the window of vulnerability. Our findings provide the evidence that air pollution exposure is an independent risk factor for macrosomia and a basis for targeted environment policy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)