Under the “carbon peaking and carbon neutrality” goal, Shanxi Province adjusts the power supply structure and promotes the development of a high proportion of new energy, which has a certain impact on the demand for thermal coal. Therefore, constructing a reasonable forecasting model for thermal coal demand can play a role in stabilizing coal supply and demand. This paper analyzes various factors related to coal demand, and uses Pearson coefficient to screen out six variables with strong correlation. Then, based on the scenario analysis method, combined with the “14th Five-Year Plan” of Shanxi Province, different scenarios of economic development and carbon emission reduction development are set. Finally, a multi-scenario GA–LSSVM forecasting model of thermal coal demand in Shanxi Province is constructed, and the future development trend of thermal coal demand in Shanxi Province is predicted. The results show that the demand for thermal coal is the largest in the mode of high-speed economic development and low emission reduction, and the demand for thermal coal is the lowest in the mode of low-speed economic development and strong emission reduction, which provides a scientific basis for the implementation of Shanxi Province’s thermal coal supply policy.
Cancer is still a deadly disease that haunts people. Once there is a malignant tumor, patients need to receive a series of expensive, complex and painful treatments. Even so, cancer still causes high mortality, for its ability to easily metastasizing to other organs, without effective cures for any kind of cancer so far. Therefore, researchers have been trying to explore its mechanism and find ways to inhibit its development and discover new cure from various aspects. The latest research found that Epithelial-Mesenchymal Transitions (EMT) may be related to cancer, especially in the metastasis. It can be a breakthrough finding that render cancer a curable disease. In this paper, we systematically introduce the definition, classification, mechanism, influencing factors of EMT and its relationship with cancer metastasis and provide new angles and ideas for further exploring all levels of signal pathways and cancer treatment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.