An Empirical Study on the Change of Consumption Level of Chinese Residents

With the rapid development of Chinese economy since the reform and opening up, people's living standards have been improved, and people's consumption level has been gradually improved. Consumption plays an important role in stimulating economic growth. At present, China needs to adjust its economic structure and optimize its industrial structure. Therefore, it is very important to analyze the factors that affect the consumption level of Chinese residents and study the main factors for promoting the healthy and sustainable development of Chinese economy. Therefore, based on the statistical data from 1995 to 2018, this paper collects the variable data that affects the consumption level of residents, such as the freight volume of infrastructure railway and highway, the per capita disposable income of national residents, ordinary college students, the consumer  price index of residents, the average real wage index and the gross domestic product. And through the establishment of multiple linear regression model and the stepwise regression, the paper also finds out the main factors influencing the consumption level of residents. Using R language and analyzing the results of the research, we can draw the conclusion that the national per capita disposable income, ordinary college students and consumer price index and GDP are the main factors that affect the consumption level of Chine

Matrix Function for Solving Optimal Game Pass Strategy Summary

The breakthrough is to quantify the amount of water, food and money carried by people in the desert and to construct a discrete function with the number of days as a time variable, optimal Planning and design for the outflow of desert-walking resources and the introduction of resources and funds from the starting point, villages and mining areas, these resources and funds are fitted by the Adjacency Matrix and the coherent knowledge of probability to describe their dynamic changes with time (days). According to the restriction of the rules of the game, we try to find the optimal solution by computer software (Matlab) in order to reduce the computation of human brain

Prognostic value of maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of positron emission tomography/computed tomography in patients with breast cancer: A systematic review and meta-analysis.

PURPOSE:A comprehensive systematic review of the literature was conducted on parameters from 18 F-FDG PET and a meta-analysis of the prognostic value of the maximal standard uptake value (SUVmax), metabolic tumor volume (MTV) and total lesional glycolysis (TLG) in patients with breast cancer (BC). PATIENTS AND METHODS:Relevant English articles from PubMed, EMBASE, and the Cochrane Library were retrieved. Pooled hazard ratios (HRs) were used to assess the prognostic value of SUVmax, MTV, and TLG. RESULTS:A total of 20 primary studies with 3115 patients with BC were included. The combined HRs (95% confidence interval [CI] of higher SUVmax and higher TLG for event-free survival (EFS) were 1.53 (95% CI, 1.25-1.89, P = 0.0006) and 5.94 (95% CI, 2.57-13.71, P = 0.97), respectively. Regarding the overall survival (OS), the combined HRs were 1.22 (95%CI, 1.02-1.45, P = 0.0006) with higher SUVmax, and 2.91(95% CI, 1.75-4.85, P = 0.44) with higher MTV. Higher MTV showed no correlation with EFS [1.31(95% CI, 0.65-2.65, P = 0.18)] and similarly higher TLG showed no correlation with OS [1.20(95% CI, 0.65-2.23, P = 0.45)]. Subgroup analysis showed that SUVmax, with a median value of 5.55 was considered as a significant risk factor for both EFS and OS in BC patients. CONCLUSION:Despite clinically heterogeneous BC patients and adoption of various methods between studies, the present meta-analysis results confirmed that patients with high SUVmax are at high risk of adverse events or death in BC patients, high MTV predicted a high risk of death and high TLG predicted a high risk of adverse events