Lumen Gentium No. 8, and Subsistit in, Again

Francis A. Sullivan says that the one Church of Christ continues to exist perfectly in the Catholic Church, and is present imperfectly in other churches and ecclesial communities. However, he thinks Lumen Gentium 8 also enables us to say that the many churches, non-Catholic and Catholic, are all in the one Church of Christ, since to say the one Church of Christ subsists in the Catholic Church means no more than "continues to exist in" the Catholic Church. In this way, he denies the identity of the one Church of Christ and the Catholic Church. We point out that magisterial documents since Vatican II have consistently refused this proposal, and have instead spoken only of the one Church being present or operative, according to degrees, in non-Catholic churches and communities. We argue that while it is true there is "ecclesial reality" outside the Catholic Church, in that there are elements of truth and sanctification outside of her, the one Church of Christ of which Vatican II expressly speaks is the Church with all the gifts of unity and instruments for salvation with which Christ endowed it. The Catholic Church is not contained in any larger divinely willed and dominically instituted ecclesial reality, and it is without qualification the one Church of Christ and the one Church of Christ is without qualification the Catholic Church.     

基于人格特征的即时通讯软件用户分类模型

根据即时通讯(instantmessaging,IM)软件工具使用行为的差异将用户划分为两类,使用“大五人格问卷”获取了该两类IM用户的人格特征测量数据。统计分析结果表明,上述两类用户在“适应性”和“社交性”因子上的得分存在显著差异,而在“开放性”、“利他性”和“道德感”三个因子上的得分差异不显著。据此,以用户在“适应性”与“社交性”因子上的得分为输入和用户的分类类别为输出,构建了IM用户基于人格特征的BP神经网络分类模型。对模型的拟合度检验表明,该模型可利用人格测量数据对IM用户进行有效分类。     

The Origins of Life: What One Needs to Know

Many solar systems in the universe may be expected to contain rocky planets that have accreted organic compounds. These compounds are likely to be universally found. In addition, the chemistry of sulfur, phosphorus, and iron is likely to dominate energy transductions and monomer activation, leading to the eventual emergence of polymers. Proteins and polynucleotides provide living matter with function, structure, and information. The conceptual puzzle regarding their emergence is discussed. The fitness of various elements to serve various roles is analyzed from the viewpoint of electron orbitals. Elements with d orbitals are of central importance.     

智商常态人群的智力个体差异研究述评

智力功能个体差异星正态分布有不同观点：g因素决定特殊能力分化程度差异论、因素搭配差异论;单一认知机能、认知机能系统中的一个或者几个认知机能缺陷影响智力功能差异论;认知发展理论的要素功能大小和要素关联关系强弱、结构差异论;文化活动结构差异和遗传进化的神经效率差异论;神经活动特性水平和神经活动区域效率差异、人格中介情景任务和人     

Equivalence classes generated by sequence training

In Experiment 1, 3, adult females were taught with verbal instructions and contingencies to select, in sequence, three arbitrary visual stimuli from an array of five stimuli. After four different sequences were taught, match-to-sample tests assessed emergent conditional relations among all stimuli that had been selected in the same order in the sequences. Subjects' performances indicated development of four stimulus classes, three based on ordinal position and one based on nonselection. Next, match-to-sample training established conditional relations between each of four novel figures and one member of each of the ordinal stimulus classes. Tests confirmed that the classes were equivalence classes, each expanded by one new member. In subsequent sequence tests, the new stimuli were selected in a sequence that was consistent with ordinal class membership. Experiment 2 replicated Experiment 1 with 2 different adult females, but the verbal instructions were omitted. Results were similar to Experiment 1, except that extensive review and retesting were required before expansion of the ordinal classes with the novel figures was observed.     

A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms

Neural Network models are commonly used for cluster analysis in engineering, computational neuroscience, and the biological sciences, although they are rarely used in the social sciences. In this study we compare the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning (Hartigan and Späthk-means) and three hierarchical (Ward's, complete linkage, and average linkage) cluster methods in 2,580 data sets with known cluster structure. Overall, the performance of the Kohonen networks was similar to, or better than, the performance of the other methods.     

《孟姜女传说》与齐鲁文化——兼谈其中的主要文化素

《孟姜女传说》是中国四大民间传说之一。2006年山东淄博将其申报为国家级非物质文化遗产后,就其真正的归属地问题却产生了争议。通过文献考索与田野调查,我们认为：齐鲁,特别是淄博泰山齐长城遗址及周围地区是孟姜女传说的发源地。秦始皇之所以进入《孟姜女传说》,其直接因素是他修了＂万里长城＂,而深层原因是他的齐鲁文化情结。＂文化素＂是波亚托斯提出的概念,指的是通过符号感觉到或认识到的文化单位。从＂礼义＂、＂歌哭＂等文化素分析来看,齐鲁文化是《孟姜女传说》最核心的精神内核,齐鲁是它的文化出生地及传播的中心地带。     

从人脑到计算机─—鸿沟能否逾越

人类对人脑及其精神活动过程的彻底了解,意味着哲学上的根本性事件的发生。所谓彻底的了解,标志就是人类对这种精神活动的成功模拟和再现。作为神经科学的分支和广延的人工智能的兴起,使人类有理由希望：存在于人脑与计算机之间的鸿沟终将被人类逾越。     

A study of the classification capabilities of neural networks using unsupervised learning: A comparison withK-means clustering

Several neural networks have been proposed in the general literature for pattern recognition and clustering, but little empirical comparison with traditional methods has been done. The results reported here compare neural networks using Kohonen learning with a traditional clustering method (K-means) in an experimental design using simulated data with known cluster solutions. Two types of neural networks were examined, both of which used unsupervised learning to perform the clustering. One used Kohonen learning with a conscience and the other used Kohonen learning without a conscience mechanism. The performance of these nets was examined with respect to changes in the number of attributes, the number of clusters, and the amount of error in the data. Generally, theK-means procedure had fewer points misclassified while the classification accuracy of neural networks worsened as the number of clusters in the data increased from two to five.Acknowledgements: Sara Dickson, Vidya Nair, and Beth Means assisted with the neural network analyses.