A Probe Into the Mixed Teaching Reform of Python Language Programming

This paper first analyzes the significance of applying mixed teaching to the“Python Language Programming”course,briefly describes the current state of teaching in“Python Language Programming,”and discusses strategies for reforming mixed teaching approaches.The goal is to provide a reference for the innovative development of teaching the“Python Language Programming”course.

Deep Learning to Find Key Brain Electrode Positions in Emotional EEG

At present, the channels used for EEG acquisition are more than 16, which makes it difficult to wear EEG caps and has poor contact. Therefore, it brings difficulties to the collection of brain waves is not conducive to converting research into applications. It is a well worth studying work in researching how to find the key brain electrode in the existing brain wave, which will greatly reduce the number of EEG acquisition points during application, making it easier to translate the research into practical application. This paper takes emotional EEG as an example to study how to find the key brain electrode points of emotional EEG with deep learning method. Firstly, using the least square regression algorithm to calculate the characteristic coefficients of each electrode point;secondly, according to the law of the characteristic coefficient value, grouping the key EEG poles for experiment. In the grouping experiment, the Conv1d-GRU model used to train and verify the EEG data of the corresponding electrode points. Finally, from the results of various grouping experiments, it concluded that the selection method of the key EEG level points should be the electrode points with positive characteristic coefficient, and the accuracy of verification is 97.6%. With experiments, it confirmed that there are key electrode points in the detection of emotional EEG by 16-channel OpenBCI. There are only six key electrode points of emotional EEG;that is to say, the EEG data collected by only six key electrode points can identify seven kinds of emotional EEG. .

Has the Belt and Road Initiative Improved the Quality of Food Imported by Chinese Enterprises?

Using micro-level data from 2009-2015 and the difference-in-difference method,this paper empirically examines the impact of the Belt and Road Initiative(BRI)on the quality of food imported by Chinese enterprises from BRI countries.Our baseline results show that the BRI significantly improved the quality of food imported from these countries.Further investigation reveals that trade patterns,ownership types,import regions,transportation methods,and product quality show significant heterogeneous effects in influencing the quality of imported food.A mechanism analysis indicates that the BRI improves the quality of imported food through three main channels:import trade environment enhancement,competition effect,and consumption upgrading,with the competition effect having the largest impact compared with the other two channels.Our findings suggest that China should not only improve the infrastructure in BRI countries but also use the BRI as an opportunity to enhance the level of cooperation with BRI countries and maintain stability and sustainability in cooperation with them.