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在2004年的国家助学贷款新政策背景下,尽管出现了许多利好方面,仍存在一些尚未解决的问题。而完整的国家助学贷款市场应当是由一级市场和二级市场组成的一个有序开放式的市场体系:一级市场是创造国家助学贷款形成借贷关系的市场,二级市场是创造国家助学贷款债权转让的市场。资产证券化是我国目前解决问题、完善市场、金融创新的重要选择,这项选择不仅很有必要,且基本具备了可行条件。当然,我国如果进行国家助学贷款资产证券化,还需要建立良好的征信制度和其它保障制度。 相似文献
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英语影视教学的课堂组织技巧 总被引:1,自引:0,他引:1
王雅芳 《广东交通职业技术学院学报》2008,7(3):70-73
本文从外语教学理论分析了影视教学的可行性,并阐述了影视教学目的和策略,再以学生为中心的英语教学模式深入探讨影视教学的课堂组织技巧,最后以美国电视剧《Friends》为例阐述了具体的课堂设计和安排。通过探讨英语影视教学过程中的技巧,说明影视教学作为一种现代教学手段,应该积极且有效地引入到大学英语教学中。 相似文献
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Objective Angiotensin Ⅱ (Ang Ⅱ ) contributes to modulating blood pressure by stimulation of Ang Ⅱ AT1 receptors. We devised a rat transient middle cerebral artery occlusion (MCAO) model to assess whether oxidative damage is decreased after pretreatment with Angiotensin Ⅱ AT1 receptor blocker (ARB). Methods After 2 weeks pretreatment with ARB 0. 5 and 1 mg/kg, the male Wister rats were subjected to 2 h middle cerebral artery occlusion (MCAO). At 24 h, the lumen diameter of middle cerebral artery, the plasma level of 8-hydroxy-2'-deoxyguanosine (8-OHdG), and HIF-1 a levels were recorded and compared. Results After pretrcatment with ARB 0.5 and 1 mg/kg, blood pressure did not significantly change compared with that of controls. In the group of candesartan at 1 mg/(kg· day), the lumen diameter was significantly increased compared to that in control group [(86.0±5.0) μm vs. (69.0± 2.1) μm; P<0. 01, n = 6- 8]. The plasma 8-OHdG levels of ARB pretreatment groups were decreased. In immunohistochemical findings, 8-OHdG- and HIF-1α-containing cells in ARB pretreatment groups were decreased. Conclusion Brain ischemia and oxidative damage can be reversed by AT1 receptor blockade in normotensive rats after transient cerebral artery occlusion. 相似文献
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JIANG Feng FENG Qi 《船舶与海洋工程学报》2007,6(4):48-54
Predicting damage to vibration isolators in a raft experiencing heavy shock loadings from explosions is an important task when designing a raft system. It is also vital to be able to research the vulnerability of heavily shocked floating rafts unreliable, especially when the allowable values The conventional approach to prediction has been or ultimate values of vibration isolators of supposedly uniform standard in a raft actually have differing and uncertain values due to defective workmanship. A new model for predicting damage to vibration isolators in a shocked floating raft system is presented in this paper. It is based on a support vector machine(SVM), which uses Artificial Intelligence to characterize complicated nonlinear mapping between the impacting environment and damage to the vibration isolators. The effectiveness of the new method for predicting damage was illustrated by numerical simulations, and shown to be effective when relevant parameters of the model were chosen reasonably. The effect determining parameters, including kernel function and penalty factors, has on prediction results is also discussed. It can be concluded that the SVM will probably become a valid tool to study damage or vulnerability in a shocked raft system. 相似文献