诗情与诗意间的裂痕——评华兹华斯诗歌中的一点瑕疵

华兹华斯是英国杰出的浪漫主义诗人。他倡导用老百姓的语言入诗,为浪漫主义诗歌运动写下了纲领性文献——《抒情歌谣集二版序》。但他的诗中也存在些瑕疵,即他的一些诗歌中诗情与诗意间有些许的裂痕,这点在与同时代诗人诗作的比较中可看得更加的清晰。而诗情与诗意二者的化合程度却是评判诗作优劣的最终标准之一。艾略特认为英国自17世纪以后诗歌中出现了"感性脱节"现象。其他英国浪漫主义诗人的诗作中也有类似的瑕疵。     

计算机组成原理实验改革探索

本文在改革计算机组成原理实验从验证到主动设计方面,进行了一定的探索。将EDA技术引入到实验中,由学生在EDA平台MAX-PLUSII上,根据计算机组成原理设计功能部件,将设计结果下载到PLD器件中,最后验证逻辑设计的正确性。     

Purification and cloning of amyloid precursor protein beta-secretase from human brain

Proteolytic processing of the amyloid precursor protein (APP) generates amyloid beta (Abeta) peptide, which is thought to be causal for the pathology and subsequent cognitive decline in Alzheimer's disease. Cleavage by beta-secretase at the amino terminus of the Abeta peptide sequence, between residues 671 and 672 of APP, leads to the generation and extracellular release of beta-cleaved soluble APP, and a corresponding cell-associated carboxy-terminal fragment. Cleavage of the C-terminal fragment by gamma-secretase(s) leads to the formation of Abeta. The pathogenic mutation K670M671-->N670L671 at the beta-secretase cleavage site in APP, which was discovered in a Swedish family with familial Alzheimer's disease, leads to increased beta-secretase cleavage of the mutant substrate. Here we describe a membrane-bound enzyme activity that cleaves full-length APP at the beta-secretase cleavage site, and find it to be the predominant beta-cleavage activity in human brain. We have purified this enzyme activity to homogeneity from human brain using a new substrate analogue inhibitor of the enzyme activity, and show that the purified enzyme has all the properties predicted for beta-secretase. Cloning and expression of the enzyme reveals that human brain beta-secretase is a new membrane-bound aspartic proteinase.     

一种新型的无搜索求解策略

提出一种基于模糊逻辑和神经网络的专家系统，它是一种集信息表达，生成与求解为一体的新型求解系。本系统的核心－学习推理网，网络的知识表达是分布的，可实现并行推理，不需要进行搜索和匹配。     

一种确定转瓶中昆虫细胞摄氧率的简便方法

提出一种确定转瓶中昆虫细胞摄氧率（ＯＵＲ）的简便方法。不同溶氧水平的转瓶实验表明：在考虑了小型培养装置中溶氧解吸过程的这种方法不仅能正确反映细胞ＯＵＲ的变化状况，而且能借助ＯＵＲ迅速判断培养细胞所处生理状态。     

不锈钢罩和石英缝管增强火焰原子吸收分析灵敏度的研究

研究了用不锈钢罩和石英缝菅增强火焰原子吸收测定金属元素灵敏度的条件。结果表明,不锈钢罩和石英缝管使常规火焰法的分析灵敏度提高3～9倍,精密度得到改善,应用于GSD水系沉积物中Pb和尿中Cu等的测定,获得满意的结果。     

ZDDP润滑铜摩擦副表面膜的机制

运用摩擦学实验与表面分析相结合的方法,考察了以二烷基二硫代磷酸锌（ＺＤＤＰ）润滑的铜摩擦副表面膜,分析了表面膜中主要元素的存在状态和ＺＤＤＰ的减摩抗磨作用机制．研究结果表明：ＺＤＤＰ在铜摩擦副表面形成了由有机化合物和无机化合物共存的反应膜,该膜具有良好的减摩抗磨性能,可有效减小摩擦磨损;此外,ＺＤＤＰ还可通过对摩擦副表面的改性,增强其减摩抗磨性能     

图形文件几何参数的抽取技术

阐述了从图形文件抽取几何参数的技术，即把复杂的内部图形文件转换成外部可读的通用文件．通过对通用文件的结构分析，找出其内在的规律，然后用高级语言进行抽取和加工，将用户所需的几何参数写人数据文件，提供给用户读写，从而达到对图形数据管理的目标．     

LKLR: A Local Tangent Space-Alignment Kernel Least-Squares Regression Algorithm

In the fields of machine learning and data mining, label learning is a nascent area of research, and within this paradigm, there is much room for improving multi-label manifold learning algorithms for high-dimensional data. Thus far, researchers have experimented with mapping relationships from the feature space to the traditional logical label space(using neighbors in the label space, for example, to predict logical label vectors from the feature space's manifold structure). Here we combine the feature manifold's and label space's local topological structures to reconstruct the label manifold. To achieve this, we use a nonlinear manifold learning algorithm to transform the local topological structure from the feature space to the label space. Our algorithm adopts a regularized leastsquares kernel method to realize the reconstruction process, employing an optimization function to find the best solution. Extensive experiments show that our algorithm significantly improves multi-label manifold learning in terms of learning accuracy and time complexity.     

基于CBR与RBR的交通事故责任认定系统研究

文章研究的系统运用辅助决策支持,在事故责任认定中将规则推理与案例推理结合,弥补各自的不足,充分发挥CBR和RBR各自优势,有效促进了事故的处理,从而实现交通事故责任认定工作的公开、公平、便民。