纳豆激酶的安全性试验

研究了具有强纤溶性纳豆激酶的安全性,通过小鼠尾静脉注射及最大耐受剂量评价其急性毒性.实验结果表明,纳豆激酶小鼠半致死剂量LD50(尾静脉注射)为172.6kU/kg·bw,小鼠最大耐受剂量MTD为400 ku/kg,口服安全性很高.     

The Versatile Manipulations of Self-Assembled Proteins in Vaccine Design

Protein assemblies provide unique structural features which make them useful as carrier molecules in biomedical and chemical science. Protein assemblies can accommodate a variety of organic, inorganic and biological molecules such as small proteins and peptides and have been used in development of subunit vaccines via display parts of viral pathogens or antigens. Such subunit vaccines are much safer than traditional vaccines based on inactivated pathogens which are more likely to produce side-effects. Therefore, to tackle a pandemic and rapidly produce safer and more effective subunit vaccines based on protein assemblies, it is necessary to understand the basic structural features which drive protein self-assembly and functionalization of portions of pathogens. This review highlights recent developments and future perspectives in production of non-viral protein assemblies with essential structural features of subunit vaccines.     

2D defect reconstruction from MFL signals by a genetic optimization algorithm

The magnetic-flux-leakage (MFL) method has established itself as the most widely used inline inspection technique for the evaluation of gas and oil pipelines. An important problem in MFL nondestructive evaluation is the signal inverse problem, wherein the defect profile and its parameters are determined using the information contained in the measured signals. This paper proposes a genetic-algorithm-based inverse algorithm for reconstructing a 2D defect from MFL signals. In the algorithm, a radial-basis-function neural network is used as a forward model and a genetic algorithm is used to solve the optimization problem in the inverse problem. Experimental results are presented to demonstrate the effectiveness of the proposed inverse algorithm.     

Noise cancellation of ultrasonic NDE signals using blind source separation

This paper proposes a new denoising method for ultrasonic NDE (nondestructive evaluation) signals using blind separation (BSS) technology. The proposed denoising method consists of four steps. First, a reconstructed phase space (RPS) is constructed from observed ultrasonic NDE signals. The information about the underlying sources (e.g., ultrasonic signal, noise, etc.) acting on this system is contained in this RPS. Second, independent component analysis (ICA) is performed on the RPS to recover all sources underlying the RPS. Next, the ultrasonic signal component is selected by a decision criterion related to the denoising application and, finally, is reconstructed to obtain the denoised ultrasonic signal. To validate the proposed method, it has been applied to the experimental ultrasonic NDE signals of the test sample and is compared with the wavelet denoising method in SNR (signal-to-noise ratio) enhancement. The experimental results show that the SNR of the ultrasonic NDE signals can be enhanced greatly using the proposed denoising method and the proposed method has almost the same denoising performance as the wavelet denoising method in SNR enhancement. A trait of the proposed denoising method is the ability to denoise ultrasonic NDE signals by separating the ultrasonic signal and noise using blind source separation technology. The text was submitted by the authors in English.     

决策信息系统的连续型特征选取方法

在大数据应用过程中,对特征集合进行约简,降低数据维度,有助于提升数据模型的泛化能力.采用随机森林模型选择和相似性度量结合的方式对特征集合进行特征初选,并通过前向搜索策略以距离为评价方式对初选集合进行二次筛选,最终获得特征子集.算法模型采用局部遍历以提高执行效率,同时通过前向选择算法解决传统方法无法确定最优特征数目的问题.实验结果表明,本文提出的方法能更有效地选择特征子集,提高模型的分类准确率.     

Research on Diameter Tolerance of Transmission Shaft Based on Interval Analysis

Journal of Failure Analysis and Prevention - This paper describes how to discuss the uncertainty of diameter tolerance by using interval analysis. Firstly, the interval relationship among...     

从点缀物到新类型:“场所营造式”公共艺术的困局

“点缀式”公共艺术和新类型公共艺术貌似是公共艺术发展的两个阶段,但本质上都属于“场所营造”。它们在成果载体、发起主体、生产路径、后续效应和价值底色上都是交叠的。基于“场所营造”理念的公共艺术实践,注定了“内卷”的结局,沦为小资化和精英主义的游戏。要想击穿“内卷”、获取范式突破,必须重新思讨公共艺术的历史基因与使命,并将之与现实链接,必须重新思考公共艺术在当下的价值定位与价值输出,并要具备起底式的、自噬的勇气,去建立新的打法、体系和规则。这是伟大的事物在当今时代取得升维的唯一方式。     

100m新型极地探险邮轮振动特性研究

建立了新型极地探险邮轮的有限元模型,利用虚质量法计算了整船湿模态,并与激励力主频对比,初步验证整船结构振动特性设计的合理性。通过频响分析方法计算了振动速度-激励力的导纳矩阵,测试了航行时船尾底板和主机机脚处的振动速度,利用测试振动速度和导纳矩阵反推出螺旋桨和主机激励力。将得到的螺旋桨和主机激励力加载至有限元模型中,计算各个舱室的振动速度,并与舱室振动速度测试值对比,误差在工程允许范围内,验证了激励力的准确性。在有限元模型上单独加载螺旋桨和主机激励力,计算各个舱室的振动速度,分析两种激励源对各个舱室振动速度的贡献率,为新型极地探险邮轮的前期振动评估和后期振动控制提供针对性参考。     

基于强化正域的属性约简方法

属性约简是粗糙集理论的核心内容之一。通过对多种约简方法进行比较,为了得到更好的结果,在传统基于属性依赖度的约简方法基础上,定义更精确的强化正域概念。通过对边界域的精确划分,得出各条件属性对决策属性的强化依赖度,并用自顶向下的启发式搜索算法得到约简结果。采用UCI标准数据集对基于强化正域约简方法REPR进行测试,约简数据后构建的决策树规模小,分类精度高。实验结果表明,相比于经典方法,REPR能更有效地对决策表进行属性约简。