Exploring the characteristics of rotating electric machines with factor analysis

Applications of multivariate statistics in engineering are hard to find, apart from those in quality control. However, we think that further insight into some technological cases may be gained by using adequate multivariate analysis tools. In this paper, we propose a review of the key parameters of rotating electric machines with factor analysis. This statistical technique allows not only the reduction of the dimension of the case we are analysing, but also reveals subtle relationships between the variables under study. We show an application of this methodology by studying the interrelations between the key variables in an electric machine, in this case the squirrel-cage induction motor. Through a step-by-step presentation of the case study, we deal with some of the topics an applied researcher may face, such as the rotation of the original factors, the extraction of higher-order factors and the development of the exploratory model. As a result, we present a worthwhile framework to both confirm our previous knowledge and capture unexplored facts. Moreover, it may provide a new approach to describing and understanding the design, performance and operating characteristics of these machines.     

探讨散文的文学性——王充闾与王向峰的一次对话

王向峰:我们过去曾谈过散文的文学性问题,今天可以详细谈这个专题了。文学性怎么才能在创作实践当中表现出来,这个可以从你的散文创作,也可以从其他经典作家的作品,从这些作品的表现当中来探讨。总而言之,一个总体目的,就是真正把散文的文学根基尽量找到。这样的话,不论对于创作散文,还是欣赏散文,都知道重点在什么地方。我考虑了这么几个问题。在这之前,我把你的散文篇章重新读了一遍,特别是人民文学出版社出版的这本——《王充闾散文》,这里有些篇章我都重新读了,我们可以在这些问题上用具体作品来解读。     

Einsatz von Simulationspatienten im Kommunikations- und Interaktionstraining für Medizinerinnen und Mediziner (Medi-KIT): Bedarfsanalyse — Training — Perspektiven

Communication skills are of central importance within daily medical life providing effective treatment. In the modern high-tech field of medicine, trustful conversations play a prominent role. In order to help students of the Heidelberg Medical Faculty to be ready for their highly responsible role as communication partner, training is carried out in the framework of HeiCuMed (short for Heidelberger Curriculum Medicinale) using specially trained simulation patients. The communication and interaction training program (referred to as Medi-KIT) enables to practice conducting conversations with challenging communication partners and grave conversational content in difficult situations. Feedback from the standardized patients, as well as from peers and tutors represents a central didactic element.In order to secure knowledge transfer into daily clinic life and as well to build a relation to cognitive knowledge transfer, all medical students are assigned, alongside Medi-KIT lessons, to a ward, and training units are coordinated in terms of content to correspond with symptom-oriented lectures and parallel POL-groups (problem-oriented learning groups). In addition, communication learning objectives are examined at the end of the semester in the form of a clinical practical exam (OSCE: Objective Structured Clinical Examination) and at patient’s bedside (Mini-CEX: Mini Clinical Examination). The goal in imparting communication skills within medical education is that the longitudinal communication curriculum be maintained and continued in subsequent medical specialization studies.     

A comparison of classification models to identify the Fragile X Syndrome

The main models of machine learning are briefly reviewed and considered for building a classifier to identify the Fragile X Syndrome (FXS). We have analyzed 172 patients potentially affected by FXS in Andalusia (Spain) and, by means of a DNA test, each member of the data set is known to belong to one of two classes: affected, not affected. The whole predictor set, formed by 40 variables, and a reduced set with only nine predictors significantly associated with the response are considered. Four alternative base classification models have been investigated: logistic regression, classification trees, multilayer perceptron and support vector machines. For both predictor sets, the best accuracy, considering both the mean and the standard deviation of the test error rate, is achieved by the support vector machines, confirming the increasing importance of this learning algorithm. Three ensemble methods - bagging, random forests and boosting - were also considered, amongst which the bagged versions of support vector machines stand out, especially when they are constructed with the reduced set of predictor variables. The analysis of the sensitivity, the specificity and the area under the ROC curve agrees with the main conclusions extracted from the accuracy results. All of these models can be fitted by free R programs.     

Die Einstellung zur Einführung des „Doppelpasses“

In this study the attitude towards the new nationality law in Germany is explained by a value/expectancy theory of attitude. 215 standardized face-to-face-interviews were performed with a quota sample. The results of this survey show that the value and expectancy theory of attitude is extremely successful in explaining the attitude towards the new nationality law. Models explaining the predictor variable of the attitude theory and a feedback-model were tested.     

Separator-based data reduction for signed graph balancing

Polynomial-time data reduction is a classical approach to hard graph problems. Typically, particular small subgraphs are replaced by smaller gadgets. We generalize this approach to handle any small subgraph that has a small separator connecting it to the rest of the graph. The problem we study is the NP-hard Balanced Subgraph problem, which asks for a 2-coloring of a graph that minimizes the inconsistencies with given edge labels. It has applications in social networks, systems biology, and integrated circuit design. The data reduction scheme unifies and generalizes a number of previously known data reductions, and can be applied to a large number of graph problems where a coloring or a subset of the vertices is sought. To solve the instances that remain after reduction, we use a fixed-parameter algorithm based on iterative compression with a very effective heuristic speedup. Our implementation can solve biological real-world instances exactly for which previously only approximations were known. In addition, we present experimental results for financial networks and random networks.     

Reducing differences between profiles of weights: A “peer-restricted” cross-efficiency evaluation

This paper deals with the selection of the profiles of weights to be used in cross-efficiency evaluations. In an attempt to prevent unrealistic weighting schemes, one of the issues of main interest that we address here is that of the zero weights, since their use implies that some of the variables considered are excluded from the assessments to be made. In the calculation of cross-efficiency scores, we propose to ignore the profiles of weights of the DMUs that cannot make a choice of non-zero weights among their alternate optima. The different units are therefore assessed in a peer-evaluation that does not consider the profiles of weights of some inefficient DMUs. This approach is referred to as “peer-restricted” cross-efficiency evaluation. Aside from avoiding zero weights, the choice of weights that we make also seeks to reduce the differences between the weights profiles selected as much as possible. Thus, in the “peer-restricted” cross-efficiency evaluation in the present paper we also try to avoid that the different DMUs attach very different weights to the same variable. Finally, we extend this approach to derive a common set of weights by exploiting the idea of similarity between profiles of weights.     

TZI: Das ist der Knochen, unsere Themen sind das Fleisch

The first author has been running a ?TZI and self-experience“ workshop for eight years. Participants were undergraduates following educational studies with a family and leisure education bias. The authors try to systematically evaluate this course and to discover structures. A relatively standardized framework with a set content proved to be successful. Added to it are personally relevant topics based on biographical and current experience, questions evolving from the ongoing interaction in the group and work with individual persons in front of the group. How to handle the theme is discussed. Typical and particular difficulties and how to cope with them are presented.     

从《苔丝》译本比较“增译法”的运用

应用现代翻译理论中的增译法,从景色描写、动作行为、人物语言、心理描写及句式结构几方面对张谷若、吴笛及蒋坚松、彭代合译的《苔丝》译本进行比较研究,并通过具体选段译语分析了三位译者在翻译原著时对增译法的不同理解和运用。