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The paper, with Neuroeducation as theoretical support, has explored the application of the neuroscientific assessment method to the assessment of classroom teaching process. Firstly, the scientific idea of monitoring and evaluating classroom teaching process is put forward. Secondly, the experiments of comparison of attention index and emotional index of different students in the course of learning,evaluation of teaching effect of two teachers in different teaching part and ERPs analysis of facial expression classification by teachers at different levels are conducted respectively. These sample experiments are used to illustrate the application of neuroscience to the assessment of classroom teaching process. This method can evaluate teachers’ teaching ability, students’ learning ability, students’ learning effect, course content selection and other aspects related to teaching. And more importantly, it can provide objective evaluation basis for classroom teaching process. It is expected that this method can efficiently help solve the problems in the existing evaluation methods of classroom teaching process.

Background Tongue coating is an important health indicator in traditional Chinese medicine (TCM). The tongue coating microbiome can distinguish disease patients from healthy controls. To study the relationship between different types of tongue coatings and health, we analyzed the species composition of different types of tongue coatings and the co-occurrence relationships between microorganisms in Chinese adults. From June 2019 to October 2020, 158 adults from Hangzhou and Shaoxing City, Zhejiang Province, were enrolled. We classified the TCM tongue coatings into four different types: thin white tongue fur (TWF), thin yellow tongue fur (TYF), white greasy tongue fur (WGF), and yellow greasy tongue fur (YGF). Tongue coating specimens were collected and used for 16S rRNA gene sequencing using the Illumina MiSeq system. Wilcoxon rank-sum and permutational multivariate analysis of variance tests were used to analyze the data. The microbial networks in the four types of tongue coatings were inferred independently using sparse inverse covariance estimation for ecological association inference. Results The microbial composition was similar among the different tongue coatings; however, the abundance of microorganisms differed. TWF had a higher abundance of Fusobacterium periodonticum and Neisseria mucosa, the highest α-diversity, and a highly connected community (average degree = 3.59, average closeness centrality = 0.33). TYF had the lowest α-diversity, but the most species in the co-occurrence network diagram (number of nodes = 88). The platelet-to-lymphocyte ratio (PLR) was associated with tongue coating (P = 0.035), and the YGF and TYF groups had higher PLR values. In the co-occurrence network, Aggregatibacter segnis was the “driver species” of the TWF and TYF groups and correlated with C-reactive protein (P < 0.05). Streptococcus anginosus was the “driver species” in the YGF and TWF groups and was positively correlated with body mass index and weight (P < 0.05). Conclusion Different tongue coatings have similar microbial compositions but different abundances of certain bacteria. The co-occurrence of microorganisms in the different tongue coatings also varies. The significance of different tongue coatings in TCM theory is consistent with the characteristics and roles of the corresponding tongue-coating microbes. This further supports considering tongue coating as a risk factor for disease.

The study employed ERP technique to explore whether the affordance derivation can facilitate semantic access in comprehending Chinese puns. ERPs were measured while participants read the pun sentences containing dual meanings and made a judgement about the following probes and statements. The results showed that highly related probes in pun sentences elicited a smaller N400 and a larger LPC than moderately related probes in pun sentences. As for the comparison of sentence types, both highly and moderately related probes in pun sentences produce a smaller N400 and a larger LPC than those in control sentences. These results indicate that in the early stage of pun comprehension, semantic access to the literal meaning is easier through affordance derivation because of meaning dominance and frequency. In the late stage of integration, however, the intended meaning of puns can be facilitated and accessed through its privilege of affordance derivation activated by pun words in a pun context because of the priming context and its underlying intention. The study has discovered empirically that it is the affordance derivation, which connects the context and the dual meanings indicated by the pun words, that contributes to the different time courses and dynamic underlying neurocognitive mechanisms in comprehending puns in Chinese.