高金

目的：比较铸造高金合金基底、铸造TILITE合金基底、铸造镍铬合金基底烤瓷冠的临床应用效果。

Objective : To evaluate the clinical effect of Ni-cr alloy , high-gold alloy and TILITE alloy porcelain crowns .

离开前拍一拍它那完全横过的背部，高金黄亮度及金头特征。

Parting shot of its fully crossed scales , high gold intensity and golden head features .

游客们还付高金搭载翻新过的蒸汽船，在河上自在游览。

The renovated steamships are for tourists willing to pay top dollar for a leisurely float .

均匀化热处理对牙科烤瓷无钯高金合金组织性能的影响

Effect of Homogenization Heat Treatment on Hardness and Microstructure for a Pd-free High Gold Dental PFM Alloy

目的：评价镍铬合金、高金合金及金沉积基底烤瓷冠的颈缘密合度。

Objective : To evaluate the marginal adaptation of Ni-Cr alloy , high-gold alloy and auro-galvano-form ceramic crowns .

结果：金沉积及高金合金基底烤瓷冠的颈缘密合度明显优于镍铬合金（P<0.05）。

Results : The marginal adaptation of high-gold alloy and auro-galvano-form ceramic crowns were better than Ni-Cr alloy ( P < 0.05 ) .

目的：比较和探讨镍铬合金、含钛的镍铬合金、高金合金烤瓷冠的临床应用效果。

Objective To compare the clinic effect of the ceramic crowns made of Ni-Cr alloy and Ni-Cr alloy containing Ti and high gold alloy .

研究结果表明，模糊集合论能成功地应用于标价中标高金的确定，同时能提高报价决策的质量和水平，有助于承包商获得投标报价中的竞争优势。

The research result makes clear that the fuzzy set theory can be successfully applied to choose mark up , and can improve the quality and level of bid decision-making .

本文首先通过分析竞争性投标中标价的构成和影响中标的因素，指出了成本估价的准确性和标高金的水平在投标中的重要性。

First this thesis supplies that the accuracy of cost estimate and the level of mark-up are important in the bidding process by analyzing the components of bid price and the facts that affect bidding success .

最后使用实际数据对比了基于粗糙集-支持向量机和基于粗糙集-神经网络的投标报价决策模型，验证了粗糙集-支持向量机方法在标高金预测的准确性上优于粗糙集-神经网络方法。

Last but not the lest , the outcomes of the biding model based on rough set-SVM and rough set-neural network are compared with each other , which proved the method of rough set-SVM is better than the method of rough set-neural network in accuracy .

在保证系统全面、科学实用和可操作性等原则下，确定了19个对标高金有重要影响的因素，并分为五类：地点因素、经济因素、经验因素、企业因素和项目因素。

In accordance with the principle of entirety , science and maneuverability , 19 factors which have a significant influence on the make-up are determined . The factors are classified into 5 categories , which are location factor , economic factor , experience factor , entrepreneur factor and project factor .