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In this work, the 2D TiO2 nanoflakes were prepared by employing MXene as sacrificial template for durable lithium ions batteries (LIBs) anode. Essentially, the high crystalline anatase TiO2 nanoparticles compacted...

The development of intelligent information technology provides an effective way for cross-modal learning analytics and promotes the realization of procedural and scientific educational evaluation. To accurately capture the emotional changes of learners and make an accurate evaluation of the learning process, this paper takes the evaluation of learners’ emotional status in the behavior process as an example to construct an intelligent analysis model of learners’ emotional status in the behavior process, which provides effective technical solutions for the construction of cross-modal learning analytics. The effectiveness and superiority of the proposed method are verified by experiments. Through the analysis of learners’ cross-mode learning behavior, it innovates the evaluation method of classroom teaching in the intelligent age and improves the quality of modern teaching.

Owing to the 3D open framework, excellent structural stability, and high ionic conductivity, NASICON-type compounds are extensively employed as promising cathode materials for sodium-ion batteries (SIBs). Being one of the representative NASICON-type compounds, the Na3V2(PO4)3 delivers high theoretical capacity with an operating voltage exceeding 3.3 V, enabling it to be a good candidate for SIBs. Unfortunately, the Na3V2(PO4)3 suffers from low electronic conductivity. In this work, we briefly review the recent research progress on novel carbon engineering strategies to enhance the electronic conductivity of Na3V2(PO4)3. Moreover, we will point out the issues relating to the development of NASICON cathode materials and put forward some suggestions.

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