Search

Multidisciplinary therapy is considered as an acceptable option for gastric cancer patients with liver metastases currently, while the effectiveness of surgery is still controversial. Although there was no improved survival for cytoreductive surgery, some evidences showed that some selected patients with the combination surgery of gastric cancer and liver metastases could benefit from curative resection. Compared to cytoreductive surgery for gastric cancer patients with liver metastasis, curative resection did not increase the incidence of complications or mortality. Therefore, surgery-based multidisciplinary therapy would be appropriate for some seleted gastric cancer patients with liver metastasis. In highly selected patients with neoadjuvant chemotherapy, curative resection with both primary and metastatic tumor could improve long-term survival benefits. Furthermore, the long-term survival and quality of life should be considered of equal importance in future studies. [ABSTRACT FROM AUTHOR]

In order to obtain the slope stability coefficient quickly and evaluate the slope stability in time, a slope stability analysis model based on particle swarm optimization ( PSO) and relevance vector machine ( RVM) was proposed. Six main factors were selected as the model selects that affect the safety factor of slope stability, and 30 groups of data generated by these six main influencing factors were fitted. Particle swarm optimization was used to optimize model parameters of relevance vector machine, and the optimal parameter values were selected. The remaining 4 groups of samples were accurately predicted according to these 30 groups of training samples. It is show that the average relative error predicted by PSO-RVM model is only 5. 64% comparing with the actual value. The average relative error of the slope stability safety factor for the established PSO-RVM prediction model is significantly better than the average relative error predicted by BP neural network and coordinated particle swarm optimization ( CPSO) and BP model, which further provides a new method for slope stability prediction and evaluation. [ABSTRACT FROM AUTHOR]

The basin ecological compensation can effectively solve the externality issues generated in the process of resources development and utilization, and it is of great significance in promoting the coordinated development of economy-society-ecology in the basin. Based on the evolutionary game theory, this paper analyzed the tripartite dynamic evolution scenarios of the higher government and the upper and lower local governments. Taking the Bosten Lake basin in Xinjiang as the research object, it set up a basin ecological compensation mechanism. The results indicate that only when the fines imposed by the higher government on the defaulting party are higher than the ecological protection costs and compensation fees in the upstream and downstream of the basin, the upstream and downstream can reach a stable equilibrium state of "protection" and "compensation" strategies. Based on the evolution results, the ecological compensation and ecological protection cost of Bosten Lake are 2.64×107 and 2.20×107 Yuan/year. Adopting the "compensation method for key pollution factors exceeding the standard" to determine penalty standards. The penalty standards based on exceeding the standard for CODM, NH3-N and TP pollutants are 1 312.51, 9 181.56 and 13 115.08 Yuan/t respectively. [ABSTRACT FROM AUTHOR]

[Objective/Meaning] The cotton area in Xinjiang is the largest production base of high-quality cotton in China. By analyzing the reasons for the lack of elasticity of cotton supply in Xinjiang, it was expected to provide reference for optimizing the layout of cotton industry in Xinjiang, adjusting the industrial structure and ensuring the safe and stable development of cotton industry. [Methods/Procedures] In order to screen the main factors affecting the cotton supply in Xinjiang, the Nerlove model is used to measure the supply response of Xinjiang cotton based on the time series data of cotton planting area and price in Xinjiang from 1986 to 2020, the target price subsidy policy was introduced, and the Nerlove model was used to measure the cotton supply response in Xinjiang. [ Results/Conclusions] The study found that: the short-term price supply elasticity value of cotton in Xinjiang was 0.150, while the long-term supply elasticity value was 0.393. The lagged 1-period cotton planting area, cotton price index and target price subsidy policy had significant positive effects on the cotton planting area in the current period. Hereby, the countermeasures were put forward, such as improving the market system of cotton, adjusting the subsidy standard, optimizing the quality of cotton, and accelerating the technology investment and promotion, etc. [ABSTRACT FROM AUTHOR]

In order to alleviate the volume expansion of nano-silicon powder and effectively improve its conductivity, DC arc plasma evaporation method and liquid phase dispersion were used to prepare high-purity and high-dispersion nano-silicon powder, and sucrose was used as carbon source, a novel nano-silicon carbon composite anode material was prepared combined with expanded graphite. The results show that the first discharge capacity of pure nano­silicon at a ratio of 0. 1C reaches 2 712 mAh/g, but the first coulombic efficiency is only 33. 81%. The prepared nano-silicon carbon composite material is charged for the first time at a magnification of 0. 1C and the discharge capacity is 615 and 917 mAh/g, respectively. The reversible specific capacity is maintained at 495 mAh/g after 50 cycles and the cycle performance and rate performance are greatly improved. [ABSTRACT FROM AUTHOR]