Numerical and experimental evaluation of nasopharyngeal aerosol administration methods in children with adenoid hypertrophy

Article no 12390

Photochemical origin of SiC2_2 in the circumstellar envelope of carbon-rich AGB stars revealed by ALMA

Whether SiC$_2$ is a parent species, that is formed in the photosphere or as a by-product of high-temperature dust formation, or a daughter species, formed in a chemistry driven by the photodestruction of parent species in the outer envelope, has been debated for a long time. Here, we analyze the ALMA observations of four SiC$_2$ transitions in the CSEs of three C-rich AGB stars (AI Vol, II Lup, and RAFGL 4211), and found that SiC$_2$ exhibits an annular, shell-like distribution in these targets, suggesting that SiC$_2$ can be a daughter species in the CSEs of carbon-rich AGB stars. The results can provide important references for future chemical models.Comment: Accepted in Frontiers in Astronomy and Space Science

The effectiveness of mathematics teaching: a cross-national investigation in primary schools in England and China

This study focuses on the effectiveness of mathematics teaching to children aged 9-10 years, applies a mixture of six methods to classroom-level data collected in England and China, correlates observable teacher behaviours with pupil mathematics performance and collects multiple perceptions that indirectly connect with the differences of teaching and learning cross-nationally. It has been found in the study that 9-to 10-year-olds (n = 343) from China outscored their English peers (n = 236) at the same age by over 20 per cent in each of two mathematics tests derived from TIMSS 2003. Structured analysis of lesson videos has revealed that Chinese mathematics teachers scored much higher than their English colleagues on an internationally validated observation instrument which focused on the quality of six dimensions of teacher behaviours. Furthermore, the quantity of teacher behaviours was also measured and the subsequent correlational analysis on pooled data indicated a positive effect of whole-class interactive teaching (r = 0.97, p < 0.01) and pupil time on task (r = 0.95, p < 0.01) and a negative impact of whole-class lecture (r = -0.91, p < 0.01), individual/group work (r=-0.81, p < 0.05) and classroom management (r = -0.77, p < 0.05) on pupils’ mathematics performance cross-nationally. Qualitative findings are connected with quantitative results to explain how teachers think, how this relates to the way they teach and how the differences of teaching result in the performance gap cross-nationally. The study replicated previous TER findings from the West across two geographically and culturally different countries, suggested possible directions for future enquiries, and recommended potential ways for practice and policy innovations

How China teaches children maths so well

There has been much publicity in recent years about China and its teachers. After the most recent results from the Program for International Student Assessment (PISA) were published in 2013, considerable discussion has focused on the reasons why Chinese students’ test results are more than 100 points above the PISA average.Despite some controversy over the results in Shanghai, it is still not clear why China has done so well. We have been undertaking a small-scale study to look at possible explanations. We recently presented our initial findings at the British Educational Research Association conference

Multilevel modelling of Chinese primary children’s metacognitive strategies in mathematics

Metacognitive strategy use is an important predictor of mathematics achievement. However, there is little research on the use of such strategies by pupils and teachers in Chinese primary mathematics classrooms. Primary pupils from five provinces in China completed an adapted Jr MAI version B questionnaire survey and completed a maths test adapted from the Chelsea Diagnostic Maths Tests. Both pupils’ overall metacognitive strategies and teachers’ behaviours were significant predictors of mathematics achievement. However, this effect was primarily through ‘Knowledge of Cognition’ rather than ‘Regulation of Cognition’, which was a negative predictor of mathematics achievement. The results also showed that age was no significant predictor, girls scored lower than boys, and SES was a significant, positive predictor

Water Quality Evaluation of the Yangtze River in China Using Machine Learning Techniques and Data Monitoring on Different Time Scales

Unlike developed countries, China has a nationally unified water environment standard and a specific watershed protection bureau to perform water quality evaluation. It is a major challenge to assess the water quality of a large watershed at a wide spatial scale and to make decisions in a scientific way. In 2016, weekly and real-time data for four monitoring indicators (pH, dissolved oxygen, permanganate index, and ammonia nitrogen) were collected at 21 surface water sections (sites) of the Yangtze River Basin, China. Results showed that one site had a relatively low Site Water Quality Index and was polluted for 12 weeks meanwhile. By using expectation-maximization clustering and hierarchical clustering algorithms, the 21 sites were classified. Variable spatiotemporal distribution characteristics for water quality and pollutants were found; some sites exhibited similar water quality variations on the weekly scale, but had different yearly grades. The results revealed polluted water quality for short periods and abrupt anomalies, which imply potential pollution sources and negative effects on water ecosystems. Potential spatio-temporal water quality characteristics, explored by machine learning methods and evidenced by time series and statistical models, could be applied in environmental decision support systems to make watershed management more objective, reliable, and powerful

One-pot synthesis of GSH-Capped CdTe quantum dots with excellent biocompatibility for direct cell imaging

In this work, we have developed one-pot aqueous synthesis of glutathione (GSH) binding CdTe quantum dots (QDs) for cell imaging. UV-Vis absorption spectrum, Fourier transform infrared spectrum, photoluminescence spectrum, and high-resolution transmission electron microscopy are applied to characterize the physical and chemical properties of the nanocomposites. The bioimaging efficiency of the GSH-capped CdTe QDs is further evaluated on Hela cells. The groups on the surface of QDs are able to bind to basic proteins, which are abundant in cell nuclei, enabling the application of QDs for direct cell imaging. Experimental results also indicate the GSH layer on the surface of QDs is able to reduce the cytotoxicity significantly. In conclusion, the as-prepared GSH-capped QDs are highly promising fluorescent probes for cell imaging in the near future