Agricultural trade in China is greatly influenced by government policy activities particularly regional integration agreements, strategic economic partnerships and exchange rate policy. China's agricultural sector has grown significantly in the past two decades however the factors that have led to this growth have not been fully explored. This study applied the Gravity model in analyzing China's bilateral agricultural trade flows with its major agricultural trading partners namely USA,

More than half of the energy sources in China are provided by combustion of coal from thermal power stations. By lowering the risk of excavating coal mines, we can decrease the price of the energy. This paper stresses the danger of coal mine gas explosions and constructs a gas explosion risk prediction system based on standard Hypo-Variance by using Brain Storms Optimization implemented with MATLAB simulation software. Hypo-Variance is the new concept built on the basis of Gauss Variance and can be used to make more precise risk assessments. By analyzing the multiple connections among gas density, temperature, humidity, pressure, air velocity, we can predict the trend of the gas event and propose the most safely timed schedule: operating three shifts in a day starting from a particular hour right after the gas peaking is over.