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The effects of 9 precipitation events in Suzhou City in Anhui Province, China, on the air quality index (AQI), PM2.5, and dry deposition flux of PCDD/Fs (polydibenzo-p-dioxins and polydibenzofurans) were investigated. A total of 7 precipitation events were positive contributes to the reduction of AQI;among them, the AQI were between 23 and 216, with an average of 75, the PM2.5 concentrations were between 5.0 and 169 mu g m-3, with an average of 25 mu g m-3, while the total-PCDD/F-TEQ dry deposition flux ranged from 149 to 1034 pg WHO2005-TEQ m-2 day-1 and averaged 315 pg WHO2005-TEQ m-2 day-1. By comparing the average AQI and PM2.5, respectively, during and after rainfall with that before rainfall, the results indicated that the average reduction fractions of AQI were 26% and 44%, respectively, while those of PM2.5 were 58% and 43%. In addition, the effect of precipitation on the average reduction fraction of total PCDD/F-TEQ dry deposition flux was 31%. However, in the other 2 AQI elevation events, the AQI were between 23 and 100, and averaged 51;when comparing the average AQI and PM2.5 concentrations, during and after the rain with that before the rain, the increases in AQI were 42% and 49%, respectively, while the increases in PM2.5 concentration were 26% and 29%, respectively. The above results show that, on the whole, rain and snow improved the air quality. This is because rainwater removes particles or dissolved gaseous pollutants from the atmosphere and brings aerosols to the ground. However, in some cases, the increase of source emissions and atmospheric vertical convection, the effect of precipitation or air humidity increased the AQI and elevated the concentration of PM2.5, and dry deposition flux of PCDD/Fs. The results of this study provide useful information for both scientific communities and air quality management.
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COVID-19 has severely impacted the world since December 2019, and because of its highly infectious nature, many countries around the world have taken lockdown measures to prevent the virus from spreading unchecked, resulting in ramifications for higher education as many institutions have been forced to implement distance education. The question of how to develop a teaching method suitable for teacher education programs that place particular importance on practice in classroom settings warrants particular concern. Online video-based simulation training (OVST) as a teacher training method holds promise for addressing this issue by allowing learners to increase their opportunities to apply theory-based knowledge in real educational practice, reducing the theory-practice gap. OVST can also be distributed through online learning environments that offer easily repeated large-scale usage at lower cost to a variety of introvert/extravert learners through individual learning trajectories. In this vein, this study aims to introduce a method for developing OVST used to enhance pre-service teacher competence (by immediately intervening during school bullying, or CIISB) and clarifying the efficacy of types of OVST (with and without debriefing) on strengthening pre-service teachers' CIISB skills. A total of 98 pre-service teachers from four Taiwanese universities and colleges participated in this study that adopted a quasi-experimental design approach. Each of these pre-service teachers was assigned to one of three groups: OVST with debriefing, OVST without debriefing, and an OVST control condition, with a video-based instrument used to map pre-service teachers' CIISB-related perception, interpretation, and decision-making skills (PID skills). The results of a mixed-model two-way ANOVA analysis indicated that both types of OVST were more effective than the control condition in improving pre-service teachers' CIISB. OVST with debriefing was also more effective than the OVST without debriefing, suggesting that OVST with debriefing is a promising way to develop pre-service teachers' clinical competencies, while also offering a valuable resource for teacher education training methods, particularly when conducted under pandemic conditions.
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Background: Hemodialysis (HD) patients are less likely to mount a response to the COVID-19 vaccination (CoVac). Poor sleep is associated with blunted vaccination response in the general population. We aim to explore the association between CoVac and sleep quality (SQ) in HD patients. Method(s): Patients from 3 HD clinics were enrolled if they were >=18 years and able to give written consent. Patients were administered the Insomnia Severity Index (ISI) and the Pittsburg Sleep Quality Index (PSQI). Blood specimen were collected after the primary series of COVID-19 vaccination. SARS-CoV-2 neutralization antibodies (nAB) were assayed using the GenScript SARS-CoV-2 Surrogate Virus Neutralization Test Kit (Cat#L00847-A). nAB titers are presented as Unit/ml on a natural log scale. PSQI scores of >5 were categorized as poor SQ and <=5 as good SQ. ISI scores were grouped as no clinically significant insomnia (NI;score 0-7), subthreshold insomnia (SI;score 8-14), and clinical insomnia (CI;score 14-28). T-test and ANOVA analysis were performed on PSQI and ISI scores, respectively, to determine the statistical association between SQ and nAB levels Results: 58 patients were included (60+/-9 years old, HD vintage 4.7+/-4.5 years, 62% male, 66% Black, 21% Hispanic). In the PSQI, 72% (n=42) had poor SQ. In the ISI, 52% = NI, 31% = SI, and 17% CI. Box plots of nAB levels with median and IQR are shown in Fig. 1. There is no association between SQ and nAB levels. Conclusion(s): There is no association between SQ and CoVac response. Given the immune dysfunction in this population, any modifying effect SQ has on CoVac, as observed in the general population, is unlikely. Other methods of improving CoVac response in this vulnerable population should be explored. (Figure Presented).
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OBJECTIVE: Many studies have been published recently on the characteristics of the clinical manifestations of COVID-19 in children. The quality scores of literature are different, and the incidence of clinical manifestations and laboratory tests results vary greatly. Therefore, a systematic retrospective meta-analysis is needed to determine the incidence of the clinical manifestations of COVID-19 in children. MATERIALS AND METHODS: Data from databases, such as PubMed, Web of science, EMBASE, Johns Hopkins University, and Chinese databases were analysed from January 31, 2020 to October 20, 2020. High-quality articles were selected for analysis based on a quality standard score. A meta-analysis of random effects was used to determine the prevalence of comorbidities and subgroup meta-analysis to examine the changes in the estimated prevalence in different subgroups. RESULTS: Seventy-one articles involving 11,671 children were included in the study. The incidence of fever, respiratory symptoms, gastrointestinal symptoms, asymptomatic patients, nervous system symptoms, and chest tightness was 55.8%, 56.8%, 14.4%, 21.1%, 6.7%, and 6.1%, respectively. The incidence of multisystem inflammatory syndrome was 6.2%. Laboratory examination results showed that lymphocytes decreased in 12% and leukocytes decreased in 8.8% of patients, whereas white blood cells increased in 7.8% of patients. Imaging showed abnormalities in 66.5%, and ground-glass opacities were observed in 36.9% patients. Epidemiological history was present in 85.2% cases; severe disease rate was 3.33%. The mortality rate was 0.28%. CONCLUSIONS: The clinical symptoms of COVID-19 in children are mild, and laboratory indicators and imaging manifestations are atypical. While screening children for COVID-19, in addition to assessing patients for symptoms as the first step of screening, the epidemiological history of patients should be obtained.