用经流法求环形管网系统的直接解

本文对环形管网系统的过流计算,采用经流法求其直接解,计算精度完全能满足工程实际的要求。并结合电算程序,给出设计实例。

Effect of acupuncture at Foot-Yangming Meridian on gastric mucosal blood flow, gastric motiiity and brain-gut peptide

AIM： To observe the effect of acupuncture at Foot- Yangming Meridian on gastric mucosal blood flow （GMBF）, gastric motility and brain-gut peptide. METHODS： Sixty SD rats were randomly divided into 6 groups： normal control group, model group （group with gastric mucosal damage, GMD）, Sibai group （with acupuncture at Sibai point ＋ GMD）, Tianshu group （with acupuncture at Tianshu point ＋ GMD）, Zusanli group （with acupuncture at Zusanli point ＋ GMD） and non-acupoint group （with acupuncture at non-acupoint ＋ GMD）. The GMD model group was induced by infusing pure alcohol into gastric cavity. H2 Gas Clearance Test （HGCT） was used to measure GMBF, the frequency and amplitude of gastric motility were measured by the method of aerocyst, the content of brain-gut peptide in sinus ventriculi and bulbus medullae were detected by radioimmunoassay. RESULTS： Inhibitory effect of the frequency and amplitude of gastric motility were shown in model group, and the rates of frequency and amplitude changes were remarkably different from the normal control group （-19.41 ± 17.21 vs-4.71 ± 10.32, P 〈 0.05; -51.61 ± 29.02 vs 1.81 ± 14.12, P 〈 0.01）. In comparison with control group, the GMBF was 0.52 ± 0.161 mL vs 1.03 ± 0.255 mL per 100g tissue/min, P 〈 0.01, the content of motilin in sinus ventriculi and bulbus medullae was 63.04 ± 7.77 pg/mL vs 72.91 ± 8.42 pg/mL, P 〈 0.05 and 50.96 ± 8.77 pg/mL vs 60.76 ± 8.05 pg/mL, P 〈 0.05, but the content of somatostatin in sinus ventriculi and bulbus medullae was 179.85 ± 43.13 ng/g vs 90.54 ± 40.42 ng/g, P 〈 0.01 and 532.86 ± 122.58 ng/g vs 370.91 ± 76.29 ng/g, P 〈 0.05,respectively. In comparison with model group, the amplitude of gastric motility was 1.52 ± 20.13, -6.52 ± 23.31, 6.92 ± 25.21 vs -51.61 ± 29.02, P 〈 0.01 and GMBF was 0.694 ± 0.160 mL vs 0.893 ± 0.210 mL, 1.038 ± 0.301 mL vs 0.52 ± 0.161 mL per 100g tissue/rain, P 〈 0.01, respectively in Tianshu, Sibai and Zusanli groups, the content of motilin in sinus ventriculi and bulbus medullae was 71.64 ± 9.35 pg/mL vs 63.04 ± 7.77 pg/mL, P 〈 0.05; 58.96 ± 6.69 pg/mL vs 50.96 ± 8.77 pg/mL, P 〈 0.05 in Zusanli group and 72.84 ± 8.62 pg/mL vs 63.04 ± 7.77 pg/mL, P 〈 0.05 in Sibai group, while the content of somatostatin in bulbus medullae in Tianshu, Sibai and Zusanli groups was 480.62 ± 151.69 ng/g, 388.53 ± 155.04 ng/g, 365.76 ± 143.93 ng/g vs 532.86 ± 122.58 ng/g, P 〈 0.05, respectively. CONCLUSION： Electro-acupuncture at acupoints of Foot-Yangming Meridian could enhance the gastric motility, improve GMBF, and regulate the content of motUin and somatostatin in sinus ventriculi and bulbus. The effects of acupuncture on GMBF and gastric motility may be related to the content of brain-gut peptide.

Contributions to Hom-Schunck optical flow equations-part I： Stability and rate of convergence of classical algorithm

Globally exponential stability （which implies convergence and uniqueness） of their classical iterative algorithm is established using methods of heat equations and energy integral after embedding the discrete iteration into a continuous flow. The stability condition depends explicitly on smoothness of the image sequence, size of image domain, value of the regularization parameter, and finally discretization step. Specifically, as the discretization step approaches to zero, stability holds unconditionally. The analysis also clarifies relations among the iterative algorithm, the original variation formulation and the PDE system. The proper regularity of solution and natural images is briefly surveyed and discussed. Experimental results validate the theoretical claims both on convergence and exponential stability.

Dynamic economic dispatch combining network flow and interior point method

Under the environment of electric power market, economic dispatch (ED) problem should consider network constraints, unit ramp rates, besides the basic constraints. For this problem, it is important to establish the effective model and algorithm. This paper examines the decoupled conditions that affect the solution optimality to this problem. It proposes an effective model and solution method. Based on the look-ahead technique, it finds the number of time intervals to guarantee the solution optimality. Next, an efficient technique for finding the optimal solution via the interior point methods is described. Test cases, which include dispatching six units over 5 time intervals on the IEEE 30 test system with line flows and ramp constraints are presented. Results indicate that the computational effort as measured by iteration counts or execution time varies only modestly with the problem size.

INFLUENCE OF ELECTROACUPUNCTURE ON ARTIFICIAL ABORTION- INDUCED SIDE EFFECTS

In the present study, the effect of electroacupuncture (EA) of acupoints of Ren, Spleen and Stomach Meridians on artificial abortion induced side effects was observed in 100 artificial abortion women. In comparison with 45 artificial abortion women in the control group (who had not accepted EA treatment), EA possessed significant effects in relieving abdominal pain, reducing vaginal bleeding duration, lowering infection rate and infertility rate after artificial abortion operation.

Performance Investigation of 2D Lattice Boltzmann Simulation of Forces on a Circular Cylinder

The lattice Boltzmann method (LBM) is employed to simulate the uniform flow past a circular cylinder. The performance of the two-dimensional LBM model on the prediction of force coefficients and vortex shedding frequency is investigated. The local grid refinement technique and second-order boundary condition for curved walls are applied in the calculations. It is found that the calculated vortex shedding frequency, drag coefficient and lift coefficient are consistent with experimental results at Reynolds nu...

Artificial neural network approach for rheological characteristics of coal-water slurry using microwave pre-treatment

Detailed experimental investigations were carried out for microwave pre-treatment of high ash Indian coal at high power level(900 W) in microwave oven. The microwave exposure times were fixed at60 s and 120 s. A rheology characteristic for microwave pre-treatment of coal-water slurry(CWS) was performed in an online Bohlin viscometer. The non-Newtonian character of the slurry follows the rheological model of Ostwald de Waele. The values of n and k vary from 0.31 to 0.64 and 0.19 to 0.81 Pa·sn,respectively. This paper presents an artificial neural network(ANN) model to predict the effects of operational parameters on apparent viscosity of CWS. A 4-2-1 topology with Levenberg-Marquardt training algorithm(trainlm) was selected as the controlled ANN. Mean squared error(MSE) of 0.002 and coefficient of multiple determinations(R^2) of 0.99 were obtained for the outperforming model. The promising values of correlation coefficient further confirm the robustness and satisfactory performance of the proposed ANN model.

Compressor Map Prediction by Neural Networks

This paper presents a study where artificial neural networks are used as a curve fitting method applying measured data from an axial compressor test rig to predict the compressor map. Emphasis is on models for prediction of pressure ratio, compressor mass flow and mechanical efficiency. Except for evaluation of interpolation and extrapolation capabilities, this study also investigates the effect of the design parameters such as number of neurons and size of training data. To reduce the effect of noise, the auto associative neural network has been applied for noise filtering of the data from the parameters used to calculate the efficiency. In summary, the results show that artificial neural network can be used for compressor map prediction, but it should be emphasized that the selection of data normalisation scale is crucial for the model where compressor mass flow is predicted. Furthermore, it is shown that the AANN （auto associative neural network） can be used to the reduce noise in measured data and thereby enhance the quality of the data.

Clinical Observation on Acupuncture for Migraine

Objective： To observe the clinical efficacy of acupuncture treatment for migraine. Methods： Forty cases were randomly allocated to a treatment group and a control group, 20 cases in each group. Cases in the treatment group were treated with acupuncture, while cases in the control group were treated with oral Sibelium. After that, the changes of cerebral blood flow were observed before and after treatment. Results： There was significant difference in clinical efficacies between two groups （P〈0.05）. There were also significant differences in arterial blood flow velocities of before and after treatment. Acupuncture can produce substantial differences （P〈0.05） in blood flow velocities of vertebral artery （VA）, middle cerebral artery （MCA） and anterior cerebral artery （ACA） during an increased flow rate. It can also produce statistical differences in blood flow velocities of VA during a decreased flow rate （P〈0.05）. Conclusion： Acupuncture can effectively alleviate the pain of migraine sufferers and exert a two-way regulation on the cerebral blood flow.

BED-CEIA估计HIV-1新近感染率的有效性及其影响因素的评价

在艾滋病流行病学研究中,衡量艾滋病流行趋势最常用的指标是HIV累积感染率和新近感染率.与累积感染率相比,新近感染率对艾滋病流行趋势预测、干预效果评价以及防制策略的制定等能提供更直接的信息.在获取新近感染率的方法中,除了经典的流行病学队列随访方法,目前普遍使用的血清学方法之一是IgG捕获BED酶联免疫法（BED-CEIA）.2001年,美国疾病预防控制中心（CDC）艾滋病免疫和诊断室评估了16种基于不同抗体和原理的HIV-1新近感染检测方法,发现新近感染者与既往感染者相比,各种抗体滴度均较低;其中gp41抗体滴度在新近感染者和既往感染者中的差别最大,两者的滴度区间几乎没有重叠,新近感染者的gp41抗体亲和力低于既往感染者,从而认为gp41抗体能够区分新近感染者和既往感染者,并且酶联免疫实验操作相对简单、效果也较理想,因此该室着手开发基于gp41抗体的HIV-1新近感染检测的酶联免疫方法[1].