Exploring biomarkers interrelated the tumor immune microenvironment (TIME) provides novel ideas for predicting the prognosis of gastric cancer (GC) and developing new treatment strategies. We analyzed the differential gene expression levels between the high and low StromalScore and ImmuneScore groups. Neutrophil elastase (ELANE) was evaluated as a potential biomarker by conducting intersection analysis of the protein-protein interaction network and univariate Cox regression analysis. The expression of ELANE was evaluated by immunohistochemistry. Its prognostic value was evaluated using Kaplan-Meier (K-M) survival curves and multivariate Cox regression analysis and its potential biological molecular mechanism was examined by gene set enrichment analysis (GSEA). We applied the CIBERSORT computing method to analyze the relationship between ELANE and tumor immune-infiltrating cells (TIICs). K-M survival curve showed that higher ELANE expression was closely related to shorter overall survival. The Cox regression analysis indicated that the high expression of ELANE was an independent prognostic risk factor in patients with GC. The GSEA revealed that genes in the ELANE high-expression group were involved in the signaling pathways regulating immune response; genes in the ELANE low-expression group were involved in the signaling pathways that regulate metabolism. ELANE might be participate in the change of TIME from immunodominant to metabolically dominant and its expression was closely related to tumor mutation burden and multiple TIICs. ELANE is a potential biomarker for predicting the GC patients' survival and prognosis. It influences the tumor immune cell infiltration in the TIME, and affects the TIME to maintain their immune status.
Abstract Purpose: Exploring biomarkers interrelated the tumor immune microenvironment (TME) provides novel ideas for predicting the prognosis of gastric cancer (GC) and developing new treatment strategies. Methods: We analyzed the differential gene expression levels between the high and low StromalScore and ImmuneScore groups. Neutrophil elastase (ELANE) was evaluated as a potential biomarker by conducting intersection analysis of the protein-protein interaction network (PPI) and univariate Cox regression analysis. Its prognostic value was evaluated using Kaplan-Meier (K-M) survival curves and multivariate Cox regression analysis and its potential biological molecular mechanism was examined by gene set enrichment analysis (GSEA). We applied the CIBERSORT computing method to analyze the relationship between ELANE and tumor immune-infiltrating cells (TIICs). Results: K-M survival curve showed that higher ELANE expression was closely related to shorter overall survival. The Cox regression analysis indicated that the high expression of ELANE was an independent prognostic risk factor in patients with GC. The GSEA revealed that genes in the ELANE high-expression group were involved in the signaling pathways regulating immune response; genes in the ELANE low-expression group were involved in the signaling pathways that regulate metabolism. ELANE might be participate in the change of TME from immunodominant to metabolically dominant and its expression was closely related to tumor mutation burden and multiple TIICs. Conclusion: ELANE is a potential biomarker for predicting the GC patients’ survival and prognosis. It influences the tumor immune cell infiltration in the TME, and affects the TME to maintain their immune status.
The rapid advancement and widespread implementation of digital technology have created opportunities for the e-commerce transformation of agricultural wholesale markets. The building of e-commerce platforms in this process is of utmost importance and should be approached methodically. This article analyzes the interests and behavioral choices of the agricultural wholesale markets, local government, and wholesalers by establishing a tripartite evolutionary game model. It applies replicator dynamics equations to describe the evolutionary strategies of each party. The findings of the study indicate that the behavioral choices of agricultural wholesale markets, local government, and wholesalers are influenced by their initial intentions. Furthermore, there exists a degree of alignment between the choices made by agricultural wholesale markets and wholesalers. The building of e-commerce platforms by agricultural wholesale markets can be facilitated through direct and indirect government subsidies; this also motivates wholesalers to adopt and utilize these platforms. Agricultural wholesale markets may further incentivize wholesalers to utilize their own e-commerce platforms by offering additional benefits. On the other hand, if the agricultural wholesale markets demonstrate strong initial inclinations toward using third-party e-commerce platforms. In this scenario, the local government has the potential to promote the widespread use of these platforms by providing both direct and indirect financial incentives to these markets, as well as actively encouraging wholesalers to participate in them. This study presents policy recommendations for agricultural wholesale markets and local government to support the effective implementation of e-commerce platforms in the agricultural wholesaler markets and facilitate a smooth transition to e-commerce in agricultural wholesale markets.
Big data is developing rapidly these years, leading people gradually to realize the enormous value and various utilities hidden behind data. Therefore, it is vital to form a deep and detailed knowledge of big data field. In this paper, we mainly collect data from different sources, cite the conclusions and discoveries from other scholars in order to get more accurate answers and predictions. Meanwhile, we analyze some fields that may be closely related to big data and may obviously influence it, such as cloud computing and AI, and hope to find the inner connection between their development and big data development. Plus, we analyze the history and current situation of big data, and make reasonable predictions towards the development of its future. Based on data, thesis from other scholars and conclusions from reports, we speculate our prediction towards the future of big data, and it can strongly support the judgement of big data development tendency.
With the wide application of microgrids, the interconnection between stations and areas has become an important means to improve the reliability of power supply. However, microgrid polar faults pose a threat to the stable operation of microgrids. In this paper, the polar faults of the microgrid are analyzed for equivalent modeling, and a microgrid model considering the interconnection of stations is established. Simulation analysis is carried out on the single-pole grounding fault, bipolar grounding fault, and three-pole grounding fault of the microgrid. According to the characteristics of current and voltage changes, a differential protection strategy based on the different current values at both ends is proposed. It can quickly isolate the fault area and reduce the impact of the fault on the microgrid. The protection scheme proposed in this paper provides an effective fault response method for the microgrid interconnected by the stations and helps to improve the power supply quality and stability of the microgrid. The correctness of the fault characteristics of the ring microgrid and the practicability of differential protection are verified by the MATLAB/Simulink simulation platform.
Enterprise digital transformation has always been a hot issue in Chinese industries. To grasp the hot topics and development trends of enterprise digital transformation research, this paper uses the visual analysis software CiteSpace to analyze the distribution and trend of research on enterprise digital transformation in CNKI journal papers and draws the following conclusions. The research on the digital transformation of Chinese enterprises first started in 2011, and the period of 2011–2019 belongs to the initial stage and has entered the rapid growth stage since 2020. Most of the authors and research institutions in this field in China are independent researchers and have not yet formed a complex cooperative network. Research on the digital transformation of Chinese enterprises initially started in the publishing industry and gradually extended to various sectors. Future research on the digital transformation of Chinese enterprises will develop in the “digital transformation of state-owned enterprises” and “digital transformation of agricultural enterprises.”
The quality of the financial report is a critical issue in accounting supervision and theoretical research and whether and how it affects the resource allocation decision of the capital market for understanding the importance of accounting to investors and management responsibility.In various financial activities of enterprises, investment management activities are the core, based on the specific relationship between the quality of financial reports and the company's investment efficiency, in the process of practice management must grasp the key to the problem, in accordance with the requirements of the process.There is a close relationship between the quality of financial reports and investment efficiency, which is a supervision and management problem and has an essential impact on investment efficiency.It is necessary to start from the current financial management situation, clarify the relationship between the two, and do an excellent evaluation and evaluation.Starting from the mechanism of financial report affecting company's investment decision, this paper summarizes and evaluates the measurement and empirical research of company's investment efficiency in detail.In conclusion, when the quality of financial reporting is the only factor affecting investment, presenting a company's projects to a broader audience through excellent financial reporting does lead to more investment.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)