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As a member of septation initiation network, sepH is a key factor of cytokinesis in Aspergillus nidulans. However, how the suppressors of sepH affect cytokinesis is not yet understood.

在构巢曲霉Aspergillus nidulans的细胞隔膜开始网(septation initiation network,SIN)的信号途径中,sepH基因对胞质分裂起着关键的正调节作用,但对该途径中同样起着十分重要作用的有关反向调节子的研究目前还不清楚。

These suppressors can restore septation and conidiation in the absence of the SEPH protein. By the cross and backcross, the temperature sensitive strain Sin110 was obtained and the bypass of SIN pathway was identified.

通过对突变株进行杂交和回交等遗传学分析,排除了sepH回复突变菌株,获得了能使sepH胞质分裂恢复正常的温度敏感菌株Sin110,证实了SIN途径具有对应反向的旁路途径的存在。

It is shown that under the action of the shock, the region I current moves towards the midnight, accompanied by a successive occurrence of two FAC structures: an anomalous FAC pair of opposite direction to the region I current and a new region I current of the same direction.

模拟结果表明,在激波的作用下,电离层Ⅰ区电流系统向子夜方向运动,在向阳侧相继出现与原Ⅰ区电流反向的异常场向电流对和同向的新生Ⅰ区电流对。

We identify that: Constrain of short sale makes Losers seldom present contrarian effect in long period movement.

证明了受到卖空限制的约束,输者组合股票在长期表现出反向效应的概率比没有卖空限制时减小。

Angle of sideslip ; fuzzy neural network ; BP algorithm

侧滑角;模糊神经网络;反向传播学习算法

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。

As the choice of Neural Network will directly affect the detection data, BP based system is constructed by error reversion algorithm to train itself. It is simper and faster than other type of system.

由于系统所采用的神经网络的类型将直接影响数据检测结果的准确性,而BP神经网络是以误差反向传播算法对网络进行训练,其结构简单、收敛速度快;RBF 神经网络以简单变量的参数组合为函数来实现,具有训练速度比较快、性能比较好的特点。

Secondly, the existence of chaos in a special class of discrete-time neural network models with sinusoidal activation function in the sense of Devaney with some parameters of the systems entering some regions are rigorously presented by means of anti-integrable limit method. Whats more, period-doubling bifurcation and saddle-node bifurcation in the neuron model are studied.

其次,利用反向可积极限方法证明了一类周期输入输出函数的离散神经网络模型在参数达到一定范围时产生Devaney意义下的混沌,并讨论了其一维情形的神经元模型出现倍周期分支和鞍-结点分支的情况。

The reverse snapback mechanism is theoretically proposed and the mathematical expressions to calculate the voltage and current values at the snapback point are presented. The computing results are compared with the experiment values.

首次给出了反向转折机理的理论解释,并给出了估算转折电压和电流的数学表达式,在常用工艺参数范围内,计算结果和实验测量值基本一致。

The reverse snapback phenomenaon I-V characteristics of static induction thyristorsare physically researched.

研究了静电感应晶闸管的反向转折特性。

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However, as the name(read-only memory)implies, CD disks cannot be written onorchanged in any way.

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