多孔结构对Vero White型光敏树脂力学性能的影响

多孔结构设计是影响使用性能的主要因素之一,优化多孔结构是减少质量的重要途径.利用静力学仿真分析不同板材内部结构力学性能的变化规律及特点.采用以色列Objet Eden250光固化设备,对Vero White型光敏树脂进行不同结构光固化成型,利用AG-Xplus电子万能试验机测试了试样抗压性能,并与仿真结果对比.研究结果表明,多孔结构的抗压强度随着孔隙率的升高而降低,不同结构的多孔结构的抗压强度的变化范围在15～70 MPa.蜂窝状结构的性能优于六面体结构,六面体结构优于八面体结构.研究结果与理论结果基本一致,为多孔结构在增材制造的成功应用提供了理论依据和实验依据.     

考虑标度的加型一致性模糊判断矩阵的排序方法

通过实例说明相关文献中加型一致性模糊判断矩阵排序方法的参数取值存在的问题,分析出该问题是由于其公式证明中没有区分标度导致的,指出其结论适用于0～1标度的加型一致性模糊判断矩阵.然后,重新证明了0.1～0.9标度下的加型一致性模糊判决矩阵的排序方法和相关结论.最后,定义了广义模糊标度,并给出广义模糊标度下加型一致性模糊判断矩阵的排序方法和相关结论,使得相关文献中排序方法和相关结论实现形式上的统一.     

有限交换p-群中加性码的计数

解决了有限交换p-群中加性码的两类计数问题,第一类计数问题是指求任意给定的有限交换p-群中任意类型码的数目,第二类计数问题是指求包含同一类型码的有限交换p-群的数目以及它们分别所含有的该类型码的数目.     

基于广义梯形模糊数相似度的交叉效率集结

在不确定环境下,针对模糊数据的多样性和复杂性,本文结合广义梯形模糊数相似度理论将广义梯形模糊数的交叉效率矩阵转换为交叉互评相似度矩阵,并根据模糊信息检索系统中的布尔模型,以能最大程度还原信息本身为准则,构建满足"正相容性"的有序几何平均集结函数对交叉互评相似度矩阵进行集结,从而得到关于每个决策单元的同行评价综合相似度.根据决策单元的同行评价综合相似度,建立反映决策者偏好的模糊一致性偏好矩阵,并对决策单元进行集结权重的分配,根据分配结果计算决策单元的全局交叉效率值.本文的集结方法可以解决不确定环境下,交叉效率矩阵数据多样性的问题,有较高的适用性;并且其集结结果具有较高的一致性和稳定性.最后本文以梯形模糊数的交叉效率矩阵为算例,来说明该方法的合理性和适用性.     

带有加性噪声的阻尼吊桥方程随机吸引子的存在性

用算子分解技巧, 通过对方程的解进行先验估计, 给出随机动力系统的一致渐近紧性, 从而证明了随机吊桥方程在加性噪声下随机吸引子的存在性.     

Hermitian矩阵空间上保秩一的可加满射

刻画了Hermitian矩阵空间Hn(C)上保秩一的可加满射Φ,给出了Φ保可逆元时的形式,以及保行列式时的形式。     

The total cost of misclassification in credit scoring: A comparison of generalized linear models and generalized additive models

This study examines whether the evaluation of a bankruptcy prediction model should take into account the total cost of misclassification. For this purpose, we introduce and apply a validity measure in credit scoring that is based on the total cost of misclassification. Specifically, we use comprehensive data from the annual financial statements of a sample of German companies and analyze the total cost of misclassification by comparing a generalized linear model and a generalized additive model with regard to their ability to predict a company's probability of default. On the basis of these data, the validity measure we introduce shows that, compared to generalized linear models, generalized additive models can reduce substantially the extent of misclassification and the total cost that this entails. The validity measure we introduce is informative and justifies the argument that generalized additive models should be preferred, although such models are more complex than generalized linear models. We conclude that to balance a model's validity and complexity, it is necessary to take into account the total cost of misclassification.     

Treed Avalanche Forecasting: Mitigating Avalanche Danger Utilizing Bayesian Additive Regression Trees

Little Cottonwood Canyon Highway is a dead‐end, two‐lane road leading to Utah's Alta and Snowbird ski resorts. It is the only road access to these resorts and is heavily traveled during the ski season. Professional avalanche forecasters monitor this road throughout the ski season in order to make road closure decisions in the face of avalanche danger. Forecasters at the Utah Department of Transportation (UDOT) avalanche guard station at Alta have maintained an extensive daily winter database on explanatory variables relating to avalanche prediction. Whether or not an avalanche crosses the road is modeled in this paper via Bayesian additive tree methods. Utilizing daily winter data from 1995 to 2011, results show that using Bayesian tree analysis outperforms traditional statistical methods in terms of realized misclassification costs that take into consideration asymmetric losses arising from two types of error. Closing the road when an avalanche does not occur is an error harmful to resort owners, and not closing the road when one does may result in injury or death. Copyright © 2016 John Wiley & Sons, Ltd.     

2-模和R-2-模的关系

在范畴化理论的基础上,利用预见性范畴和可加2-函子的性质,证明了2-模和R-2模之间的关系,从而得到其相关理论的对应关系,并拓展进一步研究和应用2-模理论,对研究高维同调代数理论有重要作用.     

Statistical study of cement additives with and without chloride on performance modification of Portland cement

The effectiveness of cement additives with and without chloride on the fluidity and the strength development of Portland cement was compared by using statistical full factorial design.The experimental results show that the cement additive containing CaCl_2 and Ca(NO_3)_2 can enhance early strength of cement significantly.However,Ca(NO_3)_2 is less effective than CaCl_2 even if it is combined with other organic chemicals such as alkanolamine and saccharide.No significant difference is found between CaCl_2...