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Hedgehog信号通路参与动物神经系统发育、分节等诸多发育过程,研究该信号通路对理解动物的发育与演化机制有重要意义。对软体动物而言,目前Hedgehog信号通路的研究较少。本文克隆了腹足纲软体动物笠贝的hedgehog基因,利用整装原位杂交技术研究了其在胚胎发育过程中的时空表达规律;并与重要发育基因brachyury及soxb的表达模式进行了比较。结果表明,笠贝hedgehog基因与神经外胚层及中/内胚层相关,可能调控了幼虫神经、肌肉及消化道的分化。通过比较原肠胚及担轮幼虫不同阶段的基因表达模式,研究了hedgehog基因相关的组织和细胞随个体发育进程的动态变化。这些结果为理解软体动物形态发生和重要器官的分化机制提供了基础。 相似文献
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海胆胚胎是研究神经发育生物学的理想生物模型.血清素能神经系统在海胆早期胚胎发育过程中形成最早,主要由血清素能顶端神经节和受体细胞网络构成,对海胆幼虫的游泳行为具有调控功能.本文对海胆幼虫血清素能顶端神经节和受体细胞网络的发育过程,以及血清素能神经系统的功能等方面进行了综述. 相似文献
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海胆胚胎是研究神经发育生物学的理想生物模型。血清素能神经系统在海胆早期胚胎发育过程中形成最早,主要由血清素能顶端神经节和受体细胞网络构成,对海胆幼虫的游泳行为具有调控功能。本文对海胆幼虫血清素能顶端神经节和受体细胞网络的发育过程,以及血清素能神经系统的功能等方面进行了综述。 相似文献
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基于T-S模糊神经系统的灰色关联分析方法——以广东省滑坡危险性评价为例 总被引:2,自引:0,他引:2
论文在经典灰色关联分析理论的基础上,应用T-S模糊神经系统的模糊系统和模糊逻辑,结合神经网络的自适应性,对灰色关联分析的数据取值以及取值区间进行重新定义和划分。再进行定量归一化,对灰色关联分析方法进行了改进。文中以广东省滑坡危险性评价为例,将改进的灰色关联度分析方法应用于滑坡危险性的评价。通过对影响滑坡危险性评价因素的T-S模糊神经系统分析,对滑坡的危险性评价提供了更科学、合理的依据。 相似文献
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Xingke XU Changwei CHEN Jing SUN Qinglong MENG 《东北亚地学研究》2007,10(1):25-28
The authors discussed the method of wavelet neural network (WNN) for correlation of base-level cycle. A new vectored method of well log data was proposed. Through the training with the known data set, the WNN can remenber the cycle pattern characteristic of the well log curves. By the trained WNN to identify the cycle pattern in the vectored log data, the ocrrdation process among the well cycles was completed. The application indicates that it is highly efficient and reliable in base-level cycle correlation. 相似文献
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Nikos Gerolymos Marios Apostolot George Gazetas 《地震工程与工程振动(英文版)》2005,4(2):213-228
Under strong seismic excitation, a rigid block will uplift from its support and undergo rocking oscillations which may lead to (complete) overturning. Numerical and analytical solutions to this highly nonlinear vibration problem are first highlighted in the paper and then utilized to demonstrate how sensitive the overturning behavior is not only to the intensity and frequency content of the base motion, but also to thc presence of strong pulses, to their detailed sequence, and even to their asymnletry. Five idealised pulses capable of representing "rupture-directivity" and "fling" affected ground motions near the fault, are utilized to this end : the one-cycle sinus, the one-cycle cosinus, the Ricker wavelet, the truncated (T)-Ricker wavelet, and the rectangular pulse "Overturning-Acceleration Amplification" and "Rotation" spectra are introduced and presented. Artificial neural network modeling is then developed as an alternative numerical solution. The neural network analysis leads to closed-form expressions for predicting the overturning failure or survival of a rigid block, as a function of its geometric properties and the characteristics of the excitation time history. The capability of the developed neural network modeling is validated through comparisons with the numerical solution. The derived analytical expressions could also serve as a tool for assessing the destructiveness of near-fault ground motions, for structures sensitive to rocking with foundation uplift. 相似文献
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在全球海域里生活着375种鲨鱼,有的鲨鱼凶猛残忍,如噬人鲨、双髻鲨,有的鲨鱼个体庞大但很温顺,如鲸鲨。可是在这众多的鲨鱼中,还没听说过有“醉鲨”。难道是不是鲨鱼误喝了白酒,导致喝醉了呢?有一天,在墨西哥东部妇人岛附近,一名潜水员潜入海下工作,忽然,他发现离自己不远处有一 相似文献