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Objective To investigate the efficacy of acupuncture and moxibustion plus massotherapy for treating multiple neuritis.

多发性神经炎,又名末梢神经炎,以肢体远端对称性的感觉障碍、运动障碍和植物神经功能障碍为主要表现。

Consequently, the sensitivity of the input random variable of one neural network is defined as the mathematical expectation of the partial derivative in the probability measure space.

神经网络的类型已知,各个输入变量的联合分布函数已知,就可以明确的求出神经网络对各输入变量的敏感性计算式。

Based on approximation capability of neural networks and mean value theorem, a stable adaptive control scheme is proposed to control the implicit dynamic system with an uncertain nonlinearity.

针对一类隐含控制输入的非线性系统,引用中值定理并利用径向基神经网络的逼近能力,提出了一种稳定自适应神经网络控制方案,以实现对一类隐含控制输入未确定非线性系统的控制。

At this point, it is crossed by or may cross the phrenic nere from its own side and continues downwards with the internal thoracic ein medially, lying deep to the costal cartilage and superficial to the underlying parietal pleura.

在此处它与膈神经交叉或在同侧越过膈神经继续与内侧的胸廓内静脉下行,向深面到肋软骨,浅面到潜在的壁胸膜。

Fetal neural tissues, such as ventral mesencephalon, striatum, and Schwann cells, were investigated for neurodegenerative diseases or spinal cord injury.

胚胎神经组织如中脑、纹状体和雪旺细胞在神经退行性疾病和脊髓损伤中的作用也有研究。

All of the three cells were co-cultured with NPCs isolated from ventral mesencephalon in embryonic SD rats (E13.5) respectively.

分离培养大鼠胚胎中脑神经前体细胞,免疫荧光鉴定神经前体细胞的增殖分化特性。

Using primary neuron-enriched and neuron-glia cultures from the rat mesencephalon, we discovered an extraordinary feature for rotenone-induced degeneration of cultured dopaminergic neurons.

利用大鼠原代中脑神经—胶质细胞混合培养体系和纯神经培养体系,我们发现了鱼藤酮诱导的多巴胺神经元变性的一种独特特征。

Oyster extract has a possible protective effect on the apoptosis cells of neuroepithelia and mesenchyme in NTD induced by hyperthermia.

牡蛎提取物对高温致神经管畸形中神经上皮及周围间充质的凋亡细胞具有一定的保护作用。

Objective To characterize the neural progenitor cell in the human amnion mesenchyme and epithelial layer with specific mark proteins of neural stem cell.

目的 利用神经干细胞特异性标志蛋白鉴定人类羊膜组织中多分化潜能神经前体细胞的存在。

Based on the ability of neural network in classification and recognization, a feed-forward multi-layer neural network is applied in the diagnosis of adhesive bond quality between metallic and nonmetallic components of a pressure vessel through acoustic feature extraction in the frequency domain, based upon the acoustic response on knocking the pressure vessel.

本文基于神经网络对目标的识别与分类能力,用简单的敲击法获取了某压力容器的声响应信号,通过对声信号的频域特征提取,应用前馈多层神经网络对压力容器的金属与非金属部件之间的粘接质量进行了诊断。

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