硝酸亚铈对培养的正常细胞的毒性作用及对肿瘤细胞的抑瘤效应

目的 探讨硝酸亚铈体外毒性、抑瘤率及其对细胞周期的影响.方法 采用MTT法检测硝酸亚铈对正常细胞系FL、L929体外毒性,对肿瘤细胞系Hela、SGC-7901、B16、Lewis、K562、H_(22)的体外抑瘤效应.采用流式细胞仪检测硝酸亚铈对SGC-7901的细胞周期影响.结果 硝酸亚铈在0.64 mmol/L以下时对FL、L929无任何毒副作用;硝酸亚铈在0.64 mmol/L以上时对以上6种肿瘤细胞均有明显的抑制增殖作用,在0.08 mmol/L时对HeLa、SGC-7901、B16及K562肿瘤细胞表现出显著的抑制增殖作用,在0.01、0.04 mmol/L时,对H_(22)亦有显著抑制作用;0.08 mmol/L硝酸亚铈作用48 h,能显著延长SGC-7901细胞株的G0/G1期,缩短S期;1.28 mmol/L硝酸亚铈作用48 h,除了能够显著延长SGC-7901细胞株的G0/G1期,显著缩短S期以外,还能延长G2/M期.结论 硝酸亚铈对正常细胞具有低毒性和高度选择性,在体外通过影响细胞周期来抑制多种肿瘤细胞的生长和增殖.     

Intelligent direct analysis of physical and mechanical parameters of tunnel surrounding rock based on adaptive immunity algorithm and BP neural network

Because of complexity and non-predictability of the tunnel surrounding rock, the problem with the determination of the physical and, mechanical parameters of the surrounding rock has become a main obstacle to theoretical research and numerical analysis in tunnel engineering. During design, it is a frequent practice, therefore, to give recommended values by analog based on experience. It is a key point in current research to make use of the displacement back analytic method to comparatively accurately determine the parameters of the surrounding rock whereas artificial intelligence possesses an exceptionally strong capability of identifying, expressing and coping with such complex non-linear relationships. The parameters can be verified by searching the optimal network structure, using back analysis on measured data to search optimal parameters and performing direct computation of the obtained results. In the current paper, the direct analysis is performed with the biological emulation system and the software of Fast Lagrangian Analysis of Continua (FLAC3D. The high non-linearity, network reasoning and coupling ability of the neural network are employed. The output vector required of the training of the neural network is obtained with the numerical analysis software. And the overall space search is conducted by employing the Adaptive Immunity Algorithm. As a result, we are able to avoid the shortcoming that multiple parameters and optimized parameters are easy to fall into a local extremum. At the same time, the computing speed and efficiency are increased as well. Further, in the paper satisfactory conclusions are arrived at through the intelligent direct-back analysis on the monitored and measured data at the Erdaoya tunneling project. The results show that the physical and mechanical parameters obtained by the intelligent direct-back analysis proposed in the current paper have effectively unproved the recommended values in the original prospecting data. This is of practical significance to the appraisal of stability and informationization design of the surrounding rock.     

大黄素对模拟冷缺血再灌注后肝细胞内钙离子浓度及细胞凋亡的影响

目的 研究中药大黄素对模拟冷缺血再灌注后肝细胞内钙离子浓度及细胞凋亡的影响.方法 体外培养肝细胞株HL-7702,随机分为对照组和大黄素处理组.对照组未予大黄素处理,大黄素处理组按100、10、1 μmol/L分为高、中、低3个浓度组,建立模拟冷缺血再灌注模型,流式细胞技术检测各组细胞内钙离子浓度及细胞凋亡水平,分别检测各组细胞培养上清液乳酸脱氢酶水平.结果 冷缺血8 h再灌注6 h后,高、中、低浓度大黄素处理组钙离子荧光强度分别为(24.12±0.51)、(26.35±1.34)、(39.12±1.94),均显著低于对照组的105.29±1.01(P<0.01).高、中、低浓度大黄素处理组细胞凋亡率分别为(5.46±0.41)%、(10.64±0.64)%、(11.90±0.50)%,均显著低于对照组的(25.40±1.41)%(P<0.01).高、中浓度大黄素处理组上清液LDH含量分别为(179.67±18.57)u/L、(198.83±14.22)u/L,显著低于对照组的(351.33±34.16)u/L(P<0.01).结论 大黄素可降低模拟冷缺血再灌注后的肝细胞内钙离子浓度,抑制细胞凋亡,减轻肝细胞损伤.     

驾驶员对夜间红绿障碍物空间距离判识差异

分析距离判识差异变化规律,选用32名驾驶员在不同深度距离和车速条件下,进行实际道路试验。统计检验全部被试判识结果,获得距离判识差异特征值。运用BP神经网络,模拟判识差异变化趋势。结果表明:在夜间地面动态环境中,随着深度距离增加,绝对距离判识差异增大,相对距离判识差异减小;随着速度增加,在较远深度距离下,绝对距离判识差异先减小后增加再减小,在中等深度距离以下时,差异逐渐减小;相对距离判识差异随速度增加而减小。     

电流变阻尼半主动控制悬架系统的设计

汽车悬架减振器对于保证车辆的乘坐舒适性和安全稳定性都具有重要作用,但目前普遍应用的被动式减振器因其力学性能不能调节,存在只能在两种性能之间折衷的先天不足,而智能半主动悬架系统方案基于“大系统多级递阶——子系统神经网络自适应”控制算法。并利用MATLAB＋Simulink对新型智能半主动悬架系统进行了仿真试验．试验结果表明系统在实现了提高车辆乘坐舒适性能的同时兼顾了安全稳定性的目的。同时由于采用电流变液减振器,使系统本身具有实时采集、响应迅速、智能化、减振降噪效果好等特点。     

重大交通突发事件中的态势评估研究

态势评估是交通应急管理的基础.针对重大交通突发事件中的态势评估,提出了分析预测流程,并对态势要素及各阶段功能进行阐述.结合国内外已有的态势评估研究成果,举例说明人工智能方法在突发事件态势评估领域的应用.     

动态输入下路段行程时间研究

以元胞传输模型(LWR模型的离散形式)作为分析工具,以行程时间为研究对象,研究了单车道路段没有出入口的基本路段受交通信号控制影响下的动态行程时间.考虑到路段上车辆密度对车辆速度的影响,文章定义了路段加权密度来表征车辆进入路段时路段的状态.分析结果表明,动态行程时间和车辆进入路段时的流量基本上没有关系;当车辆进入路段时刻一定时,路段加权密度和车辆的动态行程时间成线性关系.     

Effect of elastic constitutive laws on the deformation of two-dimensional red blood cell

Deformation of two-dimensional red blood cell in linear shear flow is simulated using the immersed boundary method, in which the cell is modeled as a force source instead of a real body. The effect of three constitutive laws, i.e. Hookean, Neo-Hookean and Skalak elasticity, on the deformation is studied by simulating the cell movement in two linear shear flows. The results show that the effect of the constitutive laws gets more obvious as the shear rate increases. Both the aspect ratio and the inclination of the steady shapes get bigger, and the differences between the periods of the cell tank-treading motion become larger. For the same shear flow, the period with Hookean elasticity is less than the period with Neo-Hookean elasticity and bigger than the period with Skalak elasticity.     

A study of maneuvering control for an air cushion vehicle based on back propagation neural network

A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV's maneuvering control by using a BP neural network to adjust PID parameters online.     

高速公路隧道交通事故严重程度的影响因素分析

根据京珠高速公路韶关段4个隧道的交通事故资料,从时间因素、隧道环境因素和交通动态因素3个方面选取9个输入变量,以交通事故严重程度为输出变量,建立高速公路隧道交通事故严重程度预测模型;然后,通过灵敏度分析方法,研究各个输入变量对输出变量的影响程度,并对各个输入变量的灵敏度分析结果进行比较分析．研究结果表明,日交通量与年平均日交通量之比和大型车混入率对交通事故严重程度的影响最大,天气、线形、坡度和事故发生地点在隧道中的位置对交通事故严重程度的影响基本相等,事故发生时段对交通事故严重程度的影响可以忽略不计．