向神经

The expression level of metabolitic enzyme (CYP1A1, CYP1B1) and its correlation with cell differentiation /apoptosis were studied as well. The influence of resveratrol in cell cycle was determined with FCM. Results 1 Resveratrol not only suppresses the growth of medulloblastoma cells in a dose and time related fashion but also induces cell differentiation and apoptosis. Resveratrol promotes differention of UW228-1,-2 cells to forward glia, UW228-3 and Med-3 cells to neuron. A treatment of resveratrol in the concentration of 100μM for 48hrs comit most of cells die of apoptosis. 2 Among the four cell lines Fas and Caspase-3 were constantly expessed, whereas FasL was absent irrespective to the drug treatment. 3 ICC, RT-PCR, Western-blot hybridization and EROD enzymatic activity assay demonstrated that expression of CYP1A1 is different after treatment with resveratrol in four cell lines, up-regulated in three UW228 cell lines in a dose dependent manner but down-regulated in Med-3 cells. Suppressive effect of resveratrol on CYP1B1 expression is the same among four medulloblatoma cell lines. 4 Cell cycle distribution of UW228-3 was greatly changed after treatment.

结果：1、白藜芦醇以时间和剂量依赖性方式抑制髓母细胞瘤细胞生长，同时促进细胞的分化和凋亡：白藜芦醇促使UW228-1、-2靶细胞向神经胶质细胞方向成熟分化，UW228-3、Med-3细胞向神经元细胞方向成熟分化，以100μM作用48小时效果显著；2、四个细胞系均有Fas和Caspase-3表达，但无Fas-L基因表达和蛋白活性产生，因此难以形成Fas相关性死亡通路；3、白藜芦醇处理前后CYP1A1基因的表达在各细胞系略有不同：UW228-1，-2，-3三个细胞系白藜芦醇以剂量相关性方式上调CYP1A1的表达，而Med-3细胞系，白藜芦醇却抑制CYP1A1的表达；四个细胞系在白藜芦醇处理后CYP1B1的表达均受到抑制；4、UW228-3细胞系经白藜芦醇作用后细胞周期有较大改变，表现在G0/G1期在整个细胞周期中所占的比例增加，而其它时期则相应减少。

The Radical asis Function Neural Network is a feed-forward NN model with the capacity of local approximation, so it can be used as a multiple-user detector in the CDMA.

径向基函数神经网络是一种具有局部逼近能力的前向神经网络模型，它可用作码分多址中的多用户检测器，并具有较好的检测性能；但是存在不足，主要表现在网络的构造和训练算法的优化方面。

Radical basis function neural networks have the powerful approximating capability, simple structure and outstandinglearning speed in comparison with other sorts of neural networks.

径向基函数神经网络具有其它前向神经网络所不具有的最佳逼近功能，并且结构简单，训练速度快。

According to the input of the sample set, a function set of multiresolution wavelet is obtained and the output vectors of each node are also computed.

总结了多层前向神经网络的结构设计方法，然后提出了一种新的小波神经网络构造算法。

In neural networks learning, the Sigmoid function is improved and the stability conditions of backpropagation algorithm is analyzed theoretically.

在神经网络学习中，改进了前向神经网络中Sigmoid作用函数表达式，并在理论上分析了反向传播修正权值的迭代算法稳定收敛的充分条件。

This experiment further investigated the possibility of differentiation of BMSCs in rats into neural stem cells in vitro, and into neural cells and neuroepithelial cells, so as to provide seed cells for cell transplantation of nervous system disease.

目的：已证实骨髓基质细胞可分化为中胚层组织细胞，实验予进一步探讨体外分离培养的骨髓基质细胞向神经干细胞分化的可能性，以及是否能继续定向分化为神经细胞及神经胶质细胞，为神经系统疾病细胞移植治疗提供种子细胞。

Bone marrow stromal cells are cells got rid of hemopoietic stem cells in marrow cell of mature individual, which is approved to be multi-differentiation potential including transforming into neural stem cell, and differentiation into neurs and neuroglial cell.

骨髓基质细胞(Bone marrow stromal cells，BMSCs)是成体骨髓细胞中除造血干细胞之外的另一类骨髓干细胞，近年来的研究证明其具有多向分化的潜能，包括向神经干细胞转化，并可进一步分化为神经元和神经胶质细胞。

The results show that the learning algorithm of FNN based on PSO is superior to the BP algorithm observably. The PSO algorithm has a good application in neural networks.

研究表明，PSO算法在前向神经网络权值的学习算法中其所有的性能指标均优于传统的BP算法，PSO算法在神经网络的应用中具有广阔的前景。

Preinduction was performed using basic fibroblast growth factor, which could promote the differentiation from BMSCs into nerve precursor cells or neurons. The expression of neuroprotein molecule was coincided with the development of neural cells.

在添加化学诱导剂之前先使用成纤维生长因子进行预诱导，能促进骨髓间充质干细胞向神经前体细胞和神经元转化，且在诱导分化过程中神经蛋白分子的表达顺序与神经细胞发育过程一致。

Solveing to some extent problem to define hidden layer node number of feed forward networks,and makeing successfully it to apply to solve weierstrass theorem of that is polynomial approach continuous function;and establishing dynamic mathematical neural networks of Romberg integration.

从而在一定程度上解决了前向神经网络隐层结点数无法确定的难题，并成功地将其运用于解决用多项式逼近连续函数的魏尔斯特拉斯定理，并建立了龙贝格求定积分的动态数学神经网络模型。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。