"To effectively implement the hopes and requirements of the Central Committee of the Communist Party of China, with Comrade Xi Jinping at its core, for Shandong's work, it is crucial to focus on the 'main driver' of converting new and old kinetic energy and make efforts in transforming development methods and adjusting structures," said Liu Jiayi, Secretary of the Shandong Provincial Party Committee, during a meeting held on April 24 by the Standing Committee of the Shandong Provincial Party Committee. The meeting was convened to convey and study the important speeches and instructions made by Premier Li Keqiang during his inspection in Shandong Province and to discuss the implementation opinions. Liu Jiayi emphasized that accelerating the conversion of new and old kinetic energy is not only relevant to the present but also to the future, impacting not only Shandong but also the overall development of the country.

On the evening of December 8, Zhejiang Meixinda Printing and Dyeing Group Co., Ltd. announced that the company intends to change its Chinese name from "Zhejiang Meixinda Printing and Dyeing Group Co., Ltd." to "Wangneng Environment Co., Ltd." Correspondingly, the stock abbreviation will be changed from "Meixinda" to "Wangneng Environment." Meixinda explained that the company has undergone a major asset restructuring, disposing of all assets and liabilities related to the printing and dyeing business, and acquiring 100% equity in Zhejiang Wangneng Environmental Protection Co., Ltd. The company has thus transformed and entered the environmental protection industry.

To further develop a smart factory capable of quickly responding to market demands and enhancing the core competitiveness of Jiadu Group, Decathlon, Jiadu Group, and Huansi Intelligent Technology Co., Ltd. have jointly established the Jiadu Branch of the Huansi Intelligent Apparel Industry Research Institute. With strong support and direct guidance from Decathlon's leadership and close collaboration with Huansi, we are deeply exploring management process optimization, production technology and process improvement, and big data collection and application. By focusing on knowledge, we aim to drive manufacturing navigation and advance the construction of Jiadu Group's smart factory.