Measuring concept semantic relatedness through common spatial pattern feature extraction on EEG signals

We study the semantic relationship between pairs of nouns of concrete objects such as “HORSE - SHEEP” and “SWING - MELON” and how this relationship activity is reflected in EEG signals. We collected 18 sets of EEG records; each set containing 150 events of stimulation. In this work we focus on feature extraction algorithms. Particularly, we highlight Common Spatial Pattern (CSP) as a method of feature extraction. Based on these latter, different classifiers were trained in order to associate a set of signals to a previously learned human answer, pertaining to two classes: semantically related, or not semantically related. The results of classification accuracy were evaluated comparing with other four methods of feature extraction, and using classification algorithms from five different families. In all cases, classification accuracy was benefited from using CSP instead of FDTW, LPC, PCA or ICA for feature extraction. Particularly with the combination CSP-Naïve Bayes we obtained the best average precision of 84.63%.     

多巴胺系统基因对注意网络的调控作用

多巴胺是脑内重要的神经递质之一,与注意活动紧密相关。本文选取作用于突触前膜、间隙和后膜的多巴胺系统基因——多巴胺转运蛋白基因、儿茶酚氧化甲基转移酶基因和多巴胺受体基因,整合影像遗传学研究,探讨多巴胺基因对注意网络的调控。元分析发现背侧和腹侧注意网络的主要脑区均有较大的基因调控效应,且腹侧网络的效应值显著大于背侧网络,表明多巴胺系统基因在全脑范围内调控注意网络,且对腹侧网络的调控作用更强于背侧网络。     

肿瘤临床治疗中应关注肝脏

抗肿瘤细胞毒性药物有不同程度毒副作用,有些严重毒副反应是限制药物剂量或使用的直接原因。肝脏是药物代谢的主要器官,也是药物损伤的主要靶器官。随着临床肿瘤治疗关注治疗带来的副作用与关注疗效同等重要的发展,本文对抗肿瘤细胞毒性药物与肝损伤、发生机制、诊断、分型和临床治疗进展进行了阐述。     

An aphasia database on the internet: a model for computer-assisted analysis in aphasiology

A web-based software model was developed as an example for data mining in aphasiology. It is used for educating medical and engineering students. It is based upon a database of 254 aphasic patients which contains the diagnosis of the aphasia type, profiles of an aphasia test battery (Aachen Aphasia Test), and some further clinical information. In addition, the cerebral lesion profiles of 147 of these cases were standardized by transferring the coordinates of the lesions to a 3D reference brain based upon the ACPC coordinate system. Two artificial neural networks were used to perform a classification of the aphasia type. First, a coarse classification was achieved by using an assessment of spontaneous speech of the patient which produced correct results in 87% of the test cases. Data analysis tools were used to select four features of the 30 available test features to yield a more accurate diagnosis. This classifier produced correct results in 92% of the test cases. The neural network approach is similar to grouping performed in group studies, while the nearest-neighbor method shows a design more similar to case studies. It finds the neurolinguistic and the lesion data of patients whose AAT profiles are most similar to the user's input. This way lesion profiles can be compared to each other interindividually. The Aphasia Diagnoser is available on the Web address http://fuzzy.iau.dtu.dk/aphasia.nsf and thus should facilitate a discussion about the reliability and possibilities of data-mining techniques in aphasiology.     

大学新生学科选择结果与人格特征关系的研究

该研究对17个系的1532名大学新生专业学科与其人格特点的关系用聚类分析和多元方差分析的方法进行了探索研究.聚类分析结果将男生根据人格特点分为理工科类、社会科学类中间科系"的特殊类.将女生也分为三大类,即与男生类似的社会科学类以及另外两类与学科分类隶属关系复杂的类别.男生对理工科和社会科学专业的选择结果与其人格特点有较明显的一致关系,而女生对社会科学专业的选择结果与其人格特点有较明显的一致关系.     

Simultaneous classification and multidimensional scaling with external information

For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are carried out independently and sequentially, although combinations of two of the three procedures (CA and MDS, or multidimensional scaling and using external information) have been proposed in the literature. The present paper offers a procedure that combines all three procedures in one analysis, using a model that describes a partition of objects with cluster centroids represented in a low-dimensional space, which in turn is related to the information in the external variables. A simulation study is carried out to demonstrate that the method works satisfactorily for data with a known underlying structure. Also, to illustrate the method, it is applied to two empirical data sets.     

From eye movement to cognition: Toward a general framework of inference comment on Liechty et al., 2003

Liechty, Pieters & Wedel (2003) developed a hidden Markov Model (HMM) to identify the states of an attentional process in an advertisement viewing task. This work is significant because it demonstrates the benefits of stochastic modeling and Bayesian estimation in making inferences about cognitive processes based on eye movement data. One limitation of the proposed approach is that attention is conceptualized as an autonomous random process that is affected neither by the overall layout of the stimulus nor by the visual information perceived during the current fixation. An alternative model based on the input-output hidden Markov model (IOHMM; Bengio, 1999) is suggested as an extension of the HMM. The need for further studies that validate the HMM classification results is also discussed.     

What is the Thematic Structure of Science?

The paper justifies the concept of “thematic structure” or “order of knowledge” over the traditional “classification of sciences” due to the uncertainty of many classification criteria. The thematic structure of science has, of course, various levels and various dimensions. Arguments against any forms of separating the humanities from sciences in the traditional sense of the term are presented and discussed. Equally unacceptable are attempts at sharp separation of technical disciplines and humanities. The thematic structure of humanities is not created by some material aspects but rather through the interest — or problem-oriented aspects. In addition to the natural sciences and the humanities there exists an important sphere of sciences on artefacts or, using the term by H. Simon, the sciences of the artificial. For the contemporary research activities is typical what could be denoted as “interdisciplinary or multidisciplinary complex.” The paper traces a set of epistemological criteria for the justification of the relative independence of a scientific discipline. This revised version was published online in August 2006 with corrections to the Cover Date.     

同伴关系与社会行为：社会测量学分类方法在中国儿童中的适用性研究

本研究应用科威和道吉（１９８３）的社会测量学分类方法,对具有不同同伴关系的儿童的行为特征进行了考察、结果表明,与西方心理学文献一致,受欢迎儿童具有较强的社会能力和积极的行为品质,被拒绝儿童倾向于具有攻击性、破坏性和学习困难。此外,被忽略儿童容易表现羞怯与焦虑行为,缺乏同伴之间的亲密感,而有争议儿童则具有积极和消极行为品质“两重性”。这一研究提供了社会测量学分类方法在中国文化中的有效性的初步证据。