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Recent research has shown that bilinguals outperform monolinguals on tasks requiring non-linguistic executive control skills, thereby generating an interest in the relationship between bilingual language processing and non-linguistic control abilities. Based on this, the present study further examined the bidirectional interaction between language control and non-linguistic control in unbalanced Chinese-English bilinguals. These bilinguals completed a Flanker task in three types of language control contexts (i.e., L1, L2, and Mixed language contexts) in the interleaved word-comprehension-to-Flanker sequence and performed a picture-word matching task in three types of non-linguistic executive control contexts (i.e., color, shape and color-shape mixed contexts) in the interleaved color-shape-switching-to-word-comprehension sequence. The results showed that the Flanker effect in mixed language context was smaller than in single (L1 and L2) context, suggesting language control leads to a better non-linguistic control ability. Additionally, the language switching cost was found smaller in the mixed task context (color/shape switching), indicating that non-linguistic control can enhance the language control ability. Therefore, we conclude that there is a bidirectional interaction between language control and non-linguistic control even in unbalanced bilinguals.

The practice of carbon emission accurate measurement system application scenario of carbon electricity coupling and carbon real measurement is carried out, based on the carbon constraint background, the whole process of carbon production and emission is accurately pictured, and the carbon measurement real measurement and carbon electricity factor measurement model adapted to multiple industries is constructed in this way. The carbon measurement is carried out by collecting data from power plants in the field and automatically matching various carbon emission parameters with the calculation model to calculate the carbon emissions of the group in real time. Carbon electricity factor measurement for energy data that cannot be directly obtained, build an industry-wide carbon emission measurement and monitoring mechanism driven by electricity ties, and combine with third-party accounting agencies to certify the measurement results to indirectly display carbon emission data by electricity.