Fractal Nature of Crack Growth under Different Temperature

We have studied numerically a simple crack growth model in a two-dimensional triangular lattice of bonds and nodes which incorporates the surface of a growing crack bond-breaking probability P-i similar to exp{(-V-i+E(i))phi(T)}, where E(i) is elastic energy stored in the i-th bond. Different energy temperature factors phi(T) are employed during crack formation and propagation process with a uniform dilation strain case and a shear case and with periodic boundary condition in the horizontal direction. Our results show that the patterns of the cracks generated are fractal structure and the effective fractal dimensionalities decrease with the increase of the temperature factor phi(T)(the absolute temperature T decreasing). In the paper we also discuss the relation between the effective fractal dimension D-eff (the radius R(g) of gyration) and the fractal dimensions D (the radius R of circular), and also give their modification values Omega about two kinds of methods in the lattice model.

Rice cultivation on floating-beds in different natural waters

Following the success in rice cultivation onfloating-beds in natural water in 1990,the eco-logical adaptability of growing rice on floating-beds was studied during the period of 1991-1993.Experiments were conducted in five dif-ferent types of natural waters in ZhejiangProvince from 28°35′ to 30°58′N and from 119°05′ to 121°11′E.The results indicated that:1)Yield of double-cropping early ricegrowing on floating-beds was lower than one

Changes in Cold and Hot Syndromes and Gastrointestinal Bacterial Community Structure in Mice by Intervention with Food of Different Nature

Objective:To reveal the effect of foods with different natures on cold or hot syndrome and gastrointestinal bacterial community structure in mice.Methods:Forty-five 6-week-old male ICR Kunming mice of clean grade were divided into 5 groups,9 per group,including the control(CK),hot nature herb medicine(HM),Hong Qu glutinous rice wine(RW),tea rice wine(TW),and cold nature herb medicine(CM)groups.Distilled water or corresponding herbs were administered to mice(0.01 mL/g body weight)in the 5 groups by gastric infusion respectively,once daily for 28 d.Appearance,behavior,and serum biochemical indicators,including 5-hydroxytryptamine(5-HT),thyroid stimulating hormone(TSH),noradrenaline(NE),cyclic adenosine monophosphate(cAMP)and cyclic guanosine monophosphate(cGMP),the hot nature index,as well as the gastrointestinal bacterial community structure were analyzed in all groups after treatment.Results:After supplementation for 28 d,CM and TW mice showed different degrees of cold syndrome,and HM and RW mice showed different degrees of hot syndrome.Compared with the HM and RW mice,the TSH,NE,cAMP levels and hot nature indices in the CM and TW mice were significantly decreased and 5-HT and cGMP levels were significantly increased(P<0.05).There was no obvious change in appearance or behavior in CK mice.Results of clustering analysis showed that the gastrointestinal bacterial community structures were highly similar in TW and CM mice as well as in RW and HM mice,and that they were from the same branch,respectively,when the distance was 0.02.The key microbes associated with cold syndrome were Lachnospiraceae uncultured,Lactococcus,etc.,and the key microbes associated with hot syndrome were S24-7 norank,Ruminococcaceae uncultured,etc.Conclusion:The interventions with different nature foods could change cold or hot syndrome in mice,leading to changes in gastrointestinal bacterial community structure.

Quantitative Analysis and Prediction of China's Natural Gas Consumption in Different Sectors Based on Bayesian Network

In view of the heterogeneity of natural gas consumption in different sectors in China,this paper utilizes Bayesian network(BN)to study the driving factors of natural gas consumption in power generation,chemical and industrial fuel sectors.Combined with Bayesian model averaging(BMA)and scenario analysis,the gas consumption of the three sectors is predicted.The results show that the expansion of urbanization will promote the gas consumption of power generation.The optimization of industrial structure and the increase of industrial gas consumption will enhance the gas consumption of chemical sector.The decrease of energy intensity and the increase of gas consumption for power generation will promote the gas consumption of industrial fuel.Moreover,the direct influencing factors of gas price are urbanization,energy structure and energy intensity.The direct influencing factors of environmental governance intensity are gas price,urbanization,industrial structure,energy intensity and energy structure.In 2025,under the high development scenario,China’s gas consumption for power generation,chemical and industrial fuel sectors will be 66.034,36.552 and 109.414 billion cubic meters respectively.From 2021 to 2025,the average annual growth rates of gas consumption of the three sectors will be 4.82%,2.18%and 4.43%respectively.