神经

Methods:By means of regional perfusion and dissection incadavers,sural nerve blood supply from peroneal artery had been analysed .

目的：研究腓肠动脉对腓肠神经的营养，为吻合腓血管的腓肠神经神经移植提供依据。

Nine of all the 62 patients had been found complications,including hematoma in 3 cases,lymphadenectomy in 2 cases,cervical plexus injury in 2 cases,phrenic nerve injury in 1 case,brachial plexus injury in 1 case and pneumothorax in 1 case.

其中术后伤口血肿形成3例，淋巴漏2例，颈丛神经皮支损伤2例，膈神经损伤1例，臂丛神经损伤1例，气胸1例，所有患者出现并发症后均得到及时的处理。

Methods:plasmatic neuropeptid y concentration was determined with radioimmunoassay in 38 schizophrenia patients and 20 normal controls.results: compared with normal controls, plasmatic neuropeptid y concentration in schizophrenia patients was significant decreased (t=9.49,p.01).there were significant difference in plasmatic neuropeptid y of patients before and after clozapine treatment (t=2.20,p.05).conclusions: the results suggest that there are abnormal metabolism in plasmatic neuropeptid y of schizophrenia patients .

采用放射免疫法测定38例精神分裂症患者及20例正常对照者的血浆神经肽y含量。结果：精神分裂症患者血浆神经肽y含量较对照组低，差异非常显著（t＝9.49，p.01）。精神分裂症患者经氯氮平治疗4周，患者症状好转后，其血浆神经肽 y含量较治疗前显著升高(t=2.20，p.05)。

Results When lesion was located in the spinal cord ventrally and olivo ponto OPCA cerebellar atrophy, the evoked potentials N30, P40 from C2 and occiput after stimulating tibial nerve showed simultaneously abnormal.

结果 脊髓腹侧及小脑病变可致胫神经刺激，C2、枕点 N30及P40电位出现同步性异常改变，且胫神经刺激出现异常者，正中神经刺激，C2、枕点电位却可保持正常。

Differing from the feed-back error compensation method, the selflearning error pre-compensation method offered by the paper is based on both ANN and time series technique to obtain the error pre-compensating curve using the non-linear ANN pre-compensation model. Because of the self-learning character of the ANN, this new type of precompensation model can be self-adjusted.

与常规的反馈补偿方法不同，本文提出的自学习误差预测补偿方法，将时间序列预测与神经网络的自学习自适应优化建模技术相结合，利用神经网络非线性预测模型产生误差预补偿函数，并利用神经网络的自学习特性对所建预测模型进行修正，所以这种新型的误差补偿方法能够获得更高的误差补偿精度和控制速度，简单实用，适于推广，具有生产应用价值。

Neural networks based on local sequence and amino acid component with the best structures and linear equation are constructed. The results of testing to the networks indicate that the forming of cis-proline has distinct relationships with local sequence and amino acid component. A new method for peptidyl prolyl cis/trans conformation prediction based on the theory of support vector machines was introduced. The SVM represents a new approach to supervised pattern classification and has been successfully applied to a wide range of pattern recognition problems.

通过运用神经网络与线性拟合的方法，揭示了脯氨酸局部序列、肽链氨基酸组分对于顺式脯氨酸形成与否的影响，构造了基于局部序列和基于氨基酸组分的最优结构的神经网络，以及线性拟合方程，同时对顺式脯氨酸进行了筛选，结果表明，利用神经网络的方法可以提高顺式脯氨酸筛选时的信噪比，脯氨酸采取顺式还是反式构象与其局部的序列以及整条肽链的氨基酸组分均有较强的关联。

The brain appeared at the egg-nauplius stage Ⅱ and was composed of protocerebrum, deutocerebrum and tritocerebrum under microscope.

三疣梭子蟹胚胎期腹神经链由1对大颚、2对小颚和2对颚足所对应的神经节以及腹部神经链组成。

The protocerebrum was composed of lamina ganglionaris, lateral protocerebrum and medial protocerebrum at the egg-zoea stage Ⅱ, and olfactory lobe appeared and arranged beside the esophagus with deutocerebrum and tri...

光镜下大颚神经节可于第二期卵内无节幼体阶段观察到，2对小颚和2对颚足神经节则在第二期卵内状幼体阶段观察到；腹部神经链则在第三期卵内状幼体阶段观察到。

RESULTS: HIF-1α positively expressed at stratum neuroepitheliale retinae and purpurogenous membrane in the embryonic phase. Additionally, HIF-1α still positively expressed at stratum neuroepitheliale retinae and purpurogenous membrane, especially in ganglionic cells and inner plexiform layer, in early development.

结果：胚胎期视网膜神经上皮层及色素上皮层均有低氧诱导因子1α阳性表达，生后发育早期视网膜神经上皮层及色素上皮层也可见低氧诱导因子1α阳性表达，以神经节细胞、内网层更明显，随着发育进展，其阳性表达主要位于视网膜节细胞层。

To find more suitable extraction algorithm for neural net recognizers, the applications of LPC sepstrum as well as the RW are investigated, and new procedures for the vector alignment and the normalization are proposed. The Time-Delay Neural Net model is generalized, and two kinds of non-uniformly windowed-time-windowed and component-windowed -pyramidical architectures are proposed.

为寻找比较适合于神经网络识别器的特征提取方法，文中研究了RW法和LPC倒谱系数特征提取法在神经网络中运用，并提出了一种新的时间对准和向量规整的方法；推广了时延神经网络模型，提出时间划分和分量划分两种加非均匀窗的金字塔状结构。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。