At present, lithium-ion batteries (LIBs) have been vastly applied and are widely being used for portable device, hybrid electric vehicles, and aviation field. Cathode materials, as the most important part in the LIBs, shows a profound prospect and potential. This study mainly focuses on the study of the means of how to improve the electrochemical properties and performance of the NCM cathode materials, examining the characterization of the NCM cathode materials through the characterization techniques. By referring different doping elements on NCM cathode materials, this paper aims to examine the structural properties, electrochemical performance, and stability of these materials under different dopants. Several characterization techniques, inductively coupled plasma (ICP), x-ray photoelectron spectroscope (XPS), Scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy dispersive spectroscope (EDS), and x-ray diffraction (XRD) results have clearly displayed a large amount of figure on cathode materials, which help us to gain a better understanding on the characteristic of each cathode materials and help us to do the further calculation and study on cathode materials.

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According to the renovation needs of construction projects and the actual situation of the site, it is necessary to closely combine the application of electronic information technology to provide solid technical support for the smooth implementation of the renovation plan, aiming to optimize and improve the performance of the building structure, and effectively prevent possible problems in the transformation process and subsequent applications. In addition, in the process of strengthening the effectiveness of construction engineering transformation and promoting the progress of the construction industry, it is necessary to deeply analyze the changes in the current situation, deeply think about the integration and application strategy of electronic information technology, and ensure that the transformation project can achieve the expected results and realize the full and efficient use of information resources. This measure can not only significantly reduce the potential risks in the transformation of construction projects, ensure the successful completion of the transformation tasks, but also help to adapt to the development of the times, maximize the advantages of electronic information technology, and inject new vitality into the transformation of construction projects.

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In today’s era of rapid technological advancement, the precise measurement of metal strain holds crucial significance across numerous fields. From mechanical manufacturing to civil engineering, aerospace to biomedical sciences, understanding the strain behavior of metals under stress is essential for ensuring structural safety and the proper functioning of equipment. This paper focuses on five commonly used sensors for measuring metal strain: resistance sensors, fiber optic sensors, piezoelectric sensors, Hall effect sensors, and capacitive sensors. It delves into their working principles, practical applications, advantages and disadvantages, as well as future development trends, aiming to provide a comprehensive reference for research and practice in related fields.

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With the introduction of artificial intelligence (AI) into education, China’s English education in the university has also been affected. The COVID-19 pandemic accelerated the application of AI tools in education. This study investigates the practical use of AI tools in English learning among Chinese undergraduates before, during, and after the pandemic. Students’ perspectives were collected through questionnaires. And its data was analyzed by using frequency analysis and multiple response analysis in SPSS. Teachers’ perspectives were gathered through interview. The study explored their views, attitudes and experience with AI-assisted learning tools such as online learning platforms, generative AI, machine translation tools and speech recognition software. The findings revealed that the integration of AI into English learning has produced positive outcomes in practical application. Students have actively embraced AI-assisted English learning, with AI tools meeting diverse learning needs, significantly improving learning efficiency, and personalizing learning resources. Some teachers also recommend students to use AI tools to assist their learning as needed. Although teachers and students generally holding a positive attitude towards AI-assisted English learning, they all express concerns about the ethical use and over-reliance on AI. Future research should focus on establishing ethical guidelines for AI use, strengthening regulation and innovating technologies for AI tools.

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