In the progress of DNJ accumulative, samples picked in July to August were higher than others.

Research progress of DNJ in mulberry twig

桑枝中1-脱氧野尻霉素（DNJ）的研究进展

There was a close relationship between the effect of MLE in reducing blood glucose and the content of DNJ.

MLE的降血糖效果与DNJ的含量有密切关系。

Compared with DNJ, the inhibition effect in NAGase activity of quercetin is limited.

虽同为糖苷酶抑制剂但相比于DNJ，槲皮素对NAGase活性的抑制能力有限。

DNJ contents of leaf grow in upper was higher than middle and down leafs.

相同桑树品种，生长在上部的叶片DNJ含量高于中下部叶片。

Extraction and Application Study of DNJ from Mulberry

桑树组织中生物碱DNJ的提取及应用研究

The addition of sulfur depressed the hydrogenating reaction, but greatly promoted the hydrocracking reaction of DNM.

加入硫显著阻碍了加氢反应，却大大促进了加氢裂解反应。

In contrast with general IP data acquisition, DNM expands frequency band of power, widens sampled time and raises detective rate.

与传统的激发极化数据采集方法相比，电场差分法增加了供电的周期，扩大了采样的时间区段，提高了采样的速度。

Conclusion: The DNM Chinese herb has the effect of antithyroid.

结论：中药穿山龙具有抗甲状腺作用。

Methods The clinical manifestations and treatment of 6 cases with DNM were reported.

方法报道6例口咽部感染并发化脓性纵膈炎病例的临床特点及治疗方法。

The detective quantum efficiency ( DQE) can be used to accurately describe the image noise transfer characteristics through many imaging systems.

检测量子效率（DQE）可被用来精确描述图像噪声通过成像系统的传播特性。

The II/ TV DQE drops at higher dose range due to fixed pattern noise and CCD shot noise.

而影像增强器电视系统的DQE在较大范围内下降是由于混合性的图像噪音及CCD的SHOT噪音。

In this paper, the testing conditions and computing formula of DQE is presented for digital X-ray imaging devices.

本文论述了描述X线数字成像设备性能的参数&量子检出效率（DQE）的测试条件和计算公式。

The DQE is already widely used by manufacturers to describe the performance of their digital X-ray imaging device.

DQE已经广泛的被制造商用于描述其数字化X射线成像装置的性能。

The DQE Method for Analyzing the Nonlinear Buckling of Tubular Under Radial Constraints

受径向约束管柱非线性屈曲的DQE法

Measurement of the Detective Quantum Efficiency ( DQE) for Digital X-ray Imaging Devices

数字X射线成像设备DQE的测试

Application of DQE method in plate vibration problems

DQE方法及其在平板振动分析中的应用

Unlike static NN's ( SNN's) to approximate nonlinear components in the dynamic system, DNN's are used to approximate the whole dynamic system.

不同于静态神经网络自适应控制，动态神经网络自适应控制中神经网络用于逼近整个采样数据非线性系统，而不是动态系统中的非线性分量。

At last, the functional model and DNN architecture between information fusion and resource management are given out. Information fusion system engineering based on resource management is discussed in detail.

最后论文研究给出了资源管理的功能模型及信息融合和资源管理的DNN结构，详细论述了基于资源管理的信息融合系统工程。

In addition to these basic settings DNN offers some advanced settings which govern the look and feel of the module implementation.

除了DNN的基本设置之外，DNN提供了高级设置，可以控制模块执行中的外观和感受。

In this paper a learning and identification scheme for a class of unknown multivariable nonlinear system using dynamic neural networks ( DNN) is presented.

研究了一类基于动态神经网络的未知非线性多变量系统的鲁棒辨识问题。