ATP激活雪旺细胞内游离Ca^(2+)浓度机制的实验研究

目的 探讨细胞外ATP引起的细胞内游离Ca2 +浓度升高的机制。方法 根据细胞内游离Ca2 + 的来源 ,分别在加入细胞外ATP的雪旺细胞的培养基中加入P2Y受体阻滞剂苏拉明和Ca2 + 通道阻滞剂异博定作为实验组 ;同时 ,以仅加入细胞外ATP的雪旺细胞的培养基作为对照组。实验组和对照组均使用Fura 2染色剂进行染色。结果 使用P2Y受体阻滞剂苏拉明的雪旺细胞的光反射强度减弱 ;而使用Ca2 + 通道阻滞剂异博定的雪旺细胞的光反射强度基本不变。结论 细胞外ATP可能是通过P2Y受体介导激活磷脂酶C引起细胞内IP3 增加 ,使Ca2 + 自储库中释放 ,导致细胞内游离Ca2 + 浓度升高。

基于花香浓度的人工蜂群算法在机器人路径规划中的应用

传统的人工蜂群算法是在一种较理想的环境中进行的,不会考虑风的阻力、长时间飞行找不到蜜源使体力下降等现实因素。本文提出了基于花香浓度的人工蜂群算法——FABC算法,在传统的人工蜂群算法中加入了步长和视野范围两个因素提升求解精度,并在侦查蜂阶段提出了花香浓度机制避免陷入局部最优,提高收敛速度。为了验证FABC算法的有效性,采用4个经典测试函数对FABC算法进行了仿真实验,并将实验结果与传统人工蜂群算法以及其他改进人工蜂群算法进行对比。最后将FABC算法应用到机器人路径规划仿真实验中,实验结果证明FABC算法能够有效地解决机器人路径规划问题。

双重信息引导的蚁群算法求解绿色多舱车辆路径问题

针对当前实际运输中广泛存在的绿色多舱车辆路径问题(GMCVRP),文章提出一种双重信息引导的蚁群优化算法(DIACO)进行求解.首先,在DIACO的全局搜索阶段,重新构建传统蚁群优化算法(TACO)中的信息素浓度矩阵(PCM),使其同时包含客户块信息和客户序列信息,即建立具有双重信息的PCM(DIPCM),从而更全面学习和累积优质解的信息;采用3种启发式方法生成较高质量个体,用于初始化DIPCM,可快速引导算法朝向解空间中优质区域进行搜索.其次,在DIACO的局部搜索阶段,设计结合自适应策略的多种变邻域操作,用于对解空间的优质区域执行深入搜索.再次,提出信息素浓度平衡机制,以防止搜索陷入停滞.最后,使用不同规模的算例进行仿真测试和算法对比,结果验证了DIACO是求解GMCVRP的有效算法.

一类免疫优化算法及其应用

根据生物免疫系统机理推导出一类数学优化结构模型的免疫算法。此算法结合遗传算法的进化操作和生物免疫中的浓度机制,通过抗体的期望繁殖率实现对抗体的促进和抑制,改善未成熟收敛。该算法用于求解Rosenbrock函数,并且与遗传算法进行了比较,结果表明,该免疫算法不仅收敛,而且具有较高的全局和局部搜索能力和收敛速度。

基于客流量变化的智能公交调度问题研究

为解决传统的公交调度系统由于采用固定发车间隔的刚性发车模式,引起的乘客群体满意度和公交公司满意度之间的矛盾,建立了以乘客群体和公交公司满意度之和为优化目标的数学模型,采用基于引入免疫浓度机制的免疫遗传算法来寻找各个时段的最优发车间隔。经改进后,公交车辆发车时间间隔随着客流量波动而柔性地变化,可以使乘客群体和公交公司的满意度最大。

Effects of Silicon at Different Concentrations on Morphology and Photosynthetic Physiological Mechanism of Japonica Rice

[Objective] The aim was to explore effects of silicon at different concentrations on morphology and photosynthetic physiological mechanism of japonica rice. [Method] Seedlings of japonica rice were treated with silicon at different concentrations （0, 30, 80, 130 and 180 mg/L of sodium silicate）; silicon contents were measured with Molybdenum blue spectrophotometric method in root, stem and leaf; plant height, root length and number in different treatment groups were measured with tools; chlorophyll a and b, and a/b in leaf and stem of rice in different groups were measured. [Result] Silicon contents in vegetative organs were as follows： stem〉leaf〉 root; when silicon was 80 mg/L, japonica ecotype was shortest; when silicon was 30 mg/L, root length of the rice was shortest and root number was least; when silicon was 30 mg/L, contents of chlorophyll a and b were highest and chlorophyll a/b achieved the peak when silicon was 80 mg/L. [Conclusion] Silicon at proper concen- tration would improve lodging-resistance and efficiency of photosynthesis, further enhancing yield of japonica rice.

Gas concentration monitoring system for small and medium-sized coal mines based on gas-sensing detection and single-chip control

This paper is aimed at the actual conditions of disaster caused by gas in small and medium-sized coal mines. A new gas concentration monitoring system for coal mines is developed on the basis of gas-sensing detection and single-chip control. The monitoring system uses the tin oxide as the main material of N-type semiconductor gas sensors, be- cause it has good sensitive characteristics for the flammable and explosive gas （ such as methane, carbon monoxide）. The QM-N5-semiconductor gas sensor is adopted to detect the output values of the resistance under the different gas con- centrations. The system, designedly, takes the AT89C51 digital chip as the core of the circuit processing hardware structure to analyze and judge the input values of the resistance, and then achieve the control and alarm for going beyond the limit of gas concentration. The gas concentration monitoring system has man）, advantages including simple in struc- ture, fast response time, stable performance and low cost. Thus, it can be widely used to monitor gas concentration and provide early wamings in small and medium-sized coal mines.

Inhibitory effects of amiodarone on simvastatin metabolism in human liver microsomes

Objective To investigate the effects ofamiodarone （AMD） on simvastatin （SV） in human liver microsomes and the possible underlying mechanisms. Methods Time-, NADPH- and concentration-dependent inhibitions were tested in HLM. The logarithm of relative inhibition values was plotted versus preincubation time （0, 5, 10, 15, 20min） for a series concentration of AMD used （0, 2, 5, 25, 50 umol/L）, and the slopes determined by linear regression. These slope values represente the observed inactivation rate constants （kobs ）. A double-reciprocal plot was then constructed using the reciprocal of the kobs （y-axis） and the reciprocal of the associated inhibitor concentration （x-axis） to estimate the values of kinact and K1, which were two principal kinetic constants that were specific for mechanism-based inhibition （MBI）.drug-drug interactions （DDI） potential was predicted based on in vitro data and by using the in vitro-in vivo extrapolation. Results The time-, concentration- and NADPH-dependent characteristics confirmed that when SV was the substrate of CYP3A4, the inhibition of AMD to CYP3A4 is MBI. KI and kinact value were calculated to be 5.1umol/L and 0.018minL The CLant of SV was reduced 2.96-5.63 fold when it was administrated with AMD. Conclusion Based on the results, AMD would inhibit SV metabolism via the mechanism-based manner, which would lead to DDI when they are taken together. Careful clinical observation is recommended when AMD and SV have to be simultaneously prescribed.

Sediment Resuspension Mechanisms in Aquaculture Area, Sanggou Bay

The sediment resuspension mechanisms in Sungo Bay, a large-scale aquaculture area in north China, were investigated by analysing data collected during several periods from 2005 to 2006. Nortek 6M ADV current meter and YSI6600 were used to collect the field data on current speed, current direction and water turbidities 1 m above the bottom. Based on the collected field data, it could be found that wind-waves and currents were the main driving force for sediment resuspension. The correlation between suspended sediment concentration （SSC） and turbidity （NTU） is SSC = 15.908 x In （NTU） ＋ 7.0888 （n = 33, R2 = 0.7209）. Taking the key factor （angle 0） into account, the combination effect between wave and current were expressed. Results showed that the combined shear stress （row） of wave stress （re） and current stress （rw） could be calculated by row = rc ＋ 2√ rcrw sin θ ＋ rw sin^2 θ. The critical shear stress for sediment resuspension was about 0.059 N/m^2. The correlation between suspended sediment concentration and critical shear stress could be expressed by rcw = 238.06 SSC ＋ 25.215 （n = 25, R^2 = 0.7298）.

Concentrated Standing Tailwater： A Mechanism for Nutrient Delivery to Downstream Aquatic Ecosystems

Contribution of first flush runoff events from intense rainfall to downstream aquatic ecosystems are often reported in terms of sediment and nutrient delivery, with hardly any consideration to the contribution that standing, concentrated tailwater in primary aquatic systems makes to downstream nutrient loads. Two geographically distinct studies （Jonesboro Arkansas, and Stoneville Mississippi; 4 studies, n = 30） evaluated the effectiveness of drainage ditch systems to mitigate nutrient concentrations and loads. Within each independent study all experimental ditches had elevated background nutrient concentrations as a result of standing water, prior to the start of each simulated runoff experiment. These concentrations remained elevated 15-30 minutes post the start of each simulation as the concentrated, impounded water was pushed out through each system. In both these systems, it was hypothesized that water had accumulated in the respective drainage ditches and had been concentrated though evaporation and aquatic macrophyte transpiration. It is theorized that additional controlled drainage with improved dilution and hydraulic residence management.

Bioremediation of Oil-Polluted Cultivated Soils in the Euro-Arctic Region

It has been studied restoration processes in oil products-polluted soils at high northern latitudes （the Murmansk region, Russia）. Mineral and organic fertilizers and a bacterial preparation （based on the local strains of hydrocarbon-oxidizing bacteria） were applied for restore polluted soils. Periods of removing OP （oil products） from soil were determined by the reduction of the pollutant concentration and by soil biological activities--the dynamics of bacteria number and CO2 emission from soil. The soil OP even at such a high concentration （as 10 L/m^2） had stimulated bacterial reproduction. In three summer month levels in the control variant without ameliorators of OP content decreased by 59% from the initial level, in the variant with mineral and organic fertilizers by 86%, in the variant with the bacterial preparation by 84%. Stimulating of indigenous microorganisms activity with additional nutrients was no less effective technique of OP-polluted soil bioremediation, than applying the bacterial preparation, which requires considerable financial investment. Moderately contaminated of OP soil is a source of additional carbon dioxide emission in the atmosphere. Pollution soil with OP caused for increasing of share of potentially pathogenic fungi in the fungal community.

Collective mechanism of molecular motors and a dynamic mechanical model for sarcomere

A non-equilibrium statistical method is used to study the collective characteristics of myosin II motors in a sarcomere during its contraction. By means of Fokker-Planck equation of molecular motors, we present a dynamic mechanical model for the sarcomere in skeletal muscle. This model has been solved with a numerical algorithm based on experimental chemical transition rates. The influences of ATP concentration and load on probability density, contraction velocity and maximum active force are discussed respectively. It is shown that contraction velocity and maximum isometric active force increase with the increasing ATP concentration and become constant when the ATP concentration reaches equilibrium saturation. Contraction velocity reduces gradually as the load force increases. We also find that active force begins to increase then decrease with the increasing length of sarcomere, and has a maximum value at the optimal length that all myosin motors can attach to actin filament. Our results are in good agreement with the Hill muscle model.

Research on the interaction mechanism between quantum dots and radionuclides for the improvement of Cerenkov luminescence imaging

Cerenkov luminescence imaging(CLI) is a relatively new optical molecular imaging technique. The nature of Stokes shift in quantum dots(QD) can be used to improve the quality of CLI. However, the interaction mechanism of QD with Cerenkov light remains unclear. In this work, the interaction mechanism between QD and radionuclides emitting β rays, γ rays, and Cerenkov light was investigated. The 96-well plates were used to test the different levels of radioactivity of radionuclides with different QD concentrations. Transparent vials were used to determine the relationship between QD fluorescence intensity and the distance from QD to the radionuclide. In addition, black paper was used to block the transmission of Cerenkov light through the QD vials. A linear relationship was found between the number of photons and the radioactivity of radionuclides when the QD concentration was kept constant. Similarly, the number of photons was linearly related to the QD concentration when the radioactivity of radionuclides was kept constant. Furthermore, with the increases in the distance between radionuclides and quantum dots, the number of photons was exponentially decreased. Meanwhile, the number of photons emitted from QD excited by Cerenkov light accounted for 20% the total number of photons excited by 131 I radionuclide. The result proved that QD was not only excited by Cerenkov light but also by other rays.

METHOD FOR QUICKLY INFERRING THE MECHANISMS OF LARGE-SCALE COMPLEX NETWORKS BASED ON THE CENSUS OF SUBGRAPH CONCENTRATIONS

A Mechanism-Inferring method of networks exploited from machine learning theory caneffectively evaluate the predicting performance of a network model.The existing method for inferringnetwork mechanisms based on a census of subgraph numbers has some drawbacks,especially the needfor a runtime increasing strongly with network size and network density.In this paper,an improvedmethod has been proposed by introducing a census algorithm of subgraph concentrations.Networkmechanism can be quickly inferred by the new method even though the network has large scale andhigh density.Therefore,the application perspective of mechanism-inferring method has been extendedinto the wider fields of large-scale complex networks.By applying the new method to a case of proteininteraction network,the authors obtain the same inferring result as the existing method,which approvesthe effectiveness of the method.

Investigation of Detailed Kinetic Scheme Performance on Modelling of Turbulent Non-Premixed Sooting Flames

This paper presents the results of an application of a first-order conditional moment closure （CMC） approach coupled with a semi-empirical soot model to investigate the effect of various detailed combustion chemistry schemes on soot formation and destruction in turbulent non-premixed flames. A two-equation soot model repre- senting soot particle nucleation, growth, coagulation and oxidation, was incorporated into the CMC model. The turbulent flow-field of both flames is described using the Favre-averaged fluid-flow equations, applying a stan- dard k-c turbulence model. A number of five reaction kinetic mechanisms having 50 - 100 species and 200 - 1000 elementary reactions called ABF, Miller-Bowman, GRI-Mech3.0, Warnatz, and Qin were employed to study the effect of combustion chemistry schemes on soot predictions. The results showed that of various kinetic schemes being studied, each yields similar accuracy in temperature prediction when compared with experimental data. With respect to soot prediction, the kinetic scheme containing benzene elementary reactions tends to result in a better prediction on soot concentrations in comparison to those contain no benzene elementary reactions. Among five kinetic mechanisms being studied, the Qin combustion scheme mechanism turned to yield the best prediction on both flame temperature and soot levels.