Effect of L-Deprenyl on the Putrescine Level and Neuronal Damage after Transient Global Cerebral Ischemia in Gerbils

L-Deprenyl is selective and irreversible monoamine oxidase B inhibitor, known to have neuroprotective properties. Putrescine, one of polyamine, is thought to be important in the neuronal cell damage associated with various type of excitatory neurotoxicity. We examined the effects of L-deprenyl on the changes in putrescine level and neuronal damage after transient global ischemia in ger-bils. Male Mongolian gerbils weighing 65 - 75 g were used in the experiment. Global ischemia was induced by occlusion of common carotid arteries for 3 min to observe neuronal injury in hippocampal pyramidal cells. L-Deprenyl group was given 10 mg/kg of L-deprenyl intraperitoneally immediately after, 3 h and 6 h after global ischemia. Treated animals were processed in parallel with ischemic animals receiving saline as a vehicle and with sham- operated controls. Hippocampal putrescine level was increased by global ischemia and inhibited by L-deprenyl treatment. In histological findings, counts of viable neurons were made in the pyramidal cell layer of the hippocampal CA1 area 3 days after ischemic insult. The number of viable neurons in the pyramidal cell layer of CA1 area was significantly increased in animals treated with L-deprenyl compared to vehicle-treated ischemic animals (p < 0.05). In terminal deoxynucleotidyl transferase (TdT)-mediated dUTP nick endlabeling (TUNEL) assay, semiquantitative analysis of dark-brown neuronal cells was made in the hippocampal CA1 area. There was also a significant difference in the degree of TUNEL staining in the hippocampal CA1 area between vehi-cle-treated and L-deprenyl-treated animals (p < 0.05). These data show L-deprenyl is effective as a prophylactic treatment for neuronal injury when it is administrated before ischemia but a further study need to know the effects of administration of L-deprenyl after ischemia and at given times after reper-fusion.

An image-based approach to the reconstruction of ancient architectures by extracting and arranging 3D spatial components

目的:利用单一图像重建古建筑,简化从2D照片恢复3D几何结构方法中无穷解的情况。该方法可以应用于观光、游戏、娱乐业中的古迹恢复。创新:简化从2D照片恢复3D几何结构过程中无穷解的情况。对特定建筑风格生成的组件库可以应用于相同风格的其它古建筑的重建。方法:本文主要以泰姬陵为例分析。首先,沿边界多面体和多面体之间的邻近关系利用合适的局部平面基元自动重建初始模型。然后,利用建模软件人工推断装配并调整模型3D组件获取最终重建模型。以Mughal风格的三个著名古建筑为例,测试基于前视图的模型重建(图10-12)。结论:对图像组件的分层分析有助简化从2D照片恢复3D几何结构过程中无穷解的情况。对特定建筑风格生成的组件库可以应用于相同风格的其它古建筑的重建。对三个Mughal风格的三个古建筑进行模型重建,结果表明所提方法的有效性。