Zhao Haibo

Levels of lipid perioxides and superoxide dismutase in peritoneal fluid of patients with endometriosis

SummaryIn order to evaluate the changes of lipid perioxides (LPO) and Superoxide dismutase (SOD) levels in peritoneal fluid in patients with endometriosis, the levels of LPO and SOD in peritoneal fluids from infertile women with endometriosis and with normal pelvis were measured. The result showed that the levels of LPO but SOD was elevated significantly in peritoneal fluid from women with endometriosis than in women with normal pelvis (P< 0.01). It is suggested that free oxygen radicals may be involved in the pathogenesis of endometriosis associated infertility.In order to evaluate the changes of lipid perioxides (LPO) and superoxide dismutase (SOD) levels in peritoneal fluid in patients with endometriosis, the levels of LPO and SOD in peritoneal fluids from infertile women with endometriosis and with normal pelvis were measured. The result showed that the levels of LPO but SOD was elevated significantly in peritoneal fluid from women with endometriosis than in women with normal pelvis (P < 0.01). It is suggested that free oxygen radicals may be involved in the pathogenesis of endometriosis associated infertility.

Stochastic algorithm and numerical simulation for drop scavenging of aerosols

The time evolution of aerosol size distribution during precipitation, which is founded mathematically by general dynamic equation (GDE) for wet removal, describes quantitatively the process of aerosol wet scavenging. The equation depends on aerosol size distribution, raindrop size distribution and the complicated model of scavenging co-efficient which is induced by taking account of the important wet removal mechanisms such as Brownian diffusion, interception and inertial impaction. Normal numerical methods can hardly solve GDE, which is a typical partially integro-differential equation. A new multi-Monte Carlo method was introduced to solve GDE for wet removal, and then was used to simulate the wet scavenging of aerosols in the real atmospheric environment. The results of numerical simulation show that, the smaller lognormal raindrop size distribution and lognormal initial aerosol size distribution, the smaller geometric mean diameter or geometric standard deviation of raindrops can help scavenge small aerosols and intermediate size aerosols better, though large aerosols are prevented from being collected in some ways.

Immunohistochemical Study of HLA-DR Antigen in Endometrial Tissue of Patients with Endometriosis

SummaryIn order to evaluate the expression of HLA-DR antigen in glandular cells in eutopic and ectopic endometrium in patients with endometriosis, 19 infertile patients with endometriosis were analyzed immunohistochemically by labelled streptavidin biotin (LSAB) method. Nineteen infertile patients without endometriosis were studied as controls. The results showed that the expression of HLA-DR antigen in the glandular cells in both eutopic and ectopic endometrium was increased significantly as compared with that in the controls (P<0.01). It is likely that aberrant expression of HLA-DR antigen in endometriotic tissue is involved in abormal immunogenesis of endometriosis.

Multi-Monte Carlo Method for General Dynamic Equation Considering Particle Coagulation

Monte-Carlo (MC) method is widely adopted to take into account general dynamic equation (GDE) for particle coagulation, however popular MC method has high computation cost and statistical fatigue. A new Multi-Monte-Carlo (MMC) method, which has characteristics of time-driven MC method, constant number method and constant volume method, was promoted to solve GDE for coagulation. Firstly MMC method was described in details, including the introduction of weighted fictitious particle, the scheme of MMC method, the setting of time step, the judgment of the occurrence of coagulation event, the choice of coagulation partner and the consequential treatment of coagulation event. Secondly MMC method was validated by five special coagulation cases in which analytical solutions exist. The good agreement between the simulation results of MMC method and analytical solutions shows MMC method conserves high computation precision and has low computation cost. Lastly the different influence of different kinds of coagulation kernel on the process of coagulation was analyzed: constant coagulation kernel and Brownian coagulation kernel in continuum regime affect small particles much more than linear and quadratic coagulation kernel, whereas affect big particles much less than linear and quadratic coagulation kernel.

Monte carlo simulation for simultaneous particle coagulation and deposition

The process of dynamic evolution in dispersed systems due to simultaneous particle coagulation and deposition is described mathematically by general dynamic equation (GDE). Monte Carlo (MC) method is an important approach of numerical solutions of GDE. However, constant-volume MC method exhibits the contradictory of low computation cost and high computation precision owing to the fluctuation of the number of simulation particles; constant-number MC method can hardly be applied to engineering application and general scientific quantitative analysis due to the continual contraction or expansion of computation domain. In addition, the two MC methods depend closely on the “subsystem” hypothesis, which constraints their expansibility and the scope of application. A new multi-Monte Carlo (MMC) method is promoted to take account of GDE for simultaneous particle coagulation and deposition. MMC method introduces the concept of “weighted fictitious particle” and is based on the “time-driven” technique. Furthermore MMC method maintains synchronously the computational domain and the total number of fictitious particles, which results in the latent expansibility of simulation for boundary condition, the space evolution of particle size distribution and even particle dynamics. The simulation results of MMC method for two special cases in which analytical solutions exist agree with analytical solutions well, which proves that MMC method has high and stable computational precision and low computation cost because of the constant and limited number of fictitious particles. Lastly the source of numerical error and the relative error of MMC method are analyzed, respectively.

TGA-FTIR investigation of the chemical looping combustion by coal with a CuO-Fe 2 O 3 combined oxygen carrier

The reaction of a Chinese lean coal LPS with Fe<inf>2</inf>O<inf>3</inf>-CuO combined OC (i.e.CuFe<inf>2</inf>O<inf>4</inf>) was investigated by means of thermogravimetric (TGA) coupled with Fourier transform infrared spectroscopy (FTIR). It was found that the reaction of LPS with CuFe<inf>2</inf>O<inf>4</inf> displayed two-staged reaction characteristics, and obvious synergistic effect from both CuO and Fe<inf>2</inf>O<inf>3</inf> was manifest; although the amount of lattice oxygen transferred from CuFe<inf>2</inf>O<inf>4</inf> was the same as that of the mixture of CuO with Fe<inf>2</inf>O<inf>3</inf> at the fixed mass ratio, the shorter duration was needed and thus more advantageous for the application of chemical looping combustion (CLC) of LPS; Finally, the overall activation energy for the reaction of LPS with CuFe<inf>2</inf>O<inf>4</inf> was estimated as 83.16 kJ/mol with Coats-Redfern method.