Durchgängiges Informationsmanagement für den Bauprozeß von Einfamilienhäusern

Informations-und Kommunikationtechniken haben im Bauwesen noch nicht die gewünschten Vorteile für Kosten und Qualität von Bauobjekten erzielt. Die Vielfalt der dafür genutzten Systeme und Formate führt häufig zu Redundanzen und Informationsverlusten in den Planungs- und Bauprozessen sowie Problemen beim Datenaustausch zwischen den Systemen. Durch die Datenmengen, die in CAD, AVA, Terminplanung, Tabellenkalkulation, Textverarbeitung etc. durch unterschiedliche Beteiligte erzeugt werden, ist darüber hinaus das Risiko einer unterschiedlichen Datenaktualität enorm. Als Konsequenz dieser Erkenntnisse bestand die Aufgabe, eine ganzheitliche und durchgängige Produkt- und Prozeßstrategie für den preiswerten Einfamilienhausbau zu entwickeln. Die Grundlage dafür bildet ein komplexes System von rationellen Entwurfsregeln, Konstruktionslösungen und Bau- und Baustofflogistikkonzepten auf der Basis moderner Informations- und Kommunikationstechnologien

Comparison of Classifiers Applied to Confocal Scanning Laser Ophthalmoscopy Data

Objectives: Comparison of classification methods using data of one clinical study. The tuning of hyperparameters is assessed as part of the methods by nested-loop cross-validation. Methods: We assess the ability of 18 statistical and machine learning classifiers to detect glaucoma. The training data set is one case-control study consisting of confocal scanning laser ophthalmoscopy measurement values from 98 glaucoma patients and 98 healthy controls. We compare bootstrap estimates of the classification error by the Wilcoxon signed rank test and box-plots of a bootstrap distribution of the estimate. Results: The comparison of out-of-bag bootstrap estimators of classification errors is assessed by Spearman?s rank correlation, Wilcoxon signed rank tests and box-plots of a bootstrap distribution of the estimate. The classification methods random forests 15.4%, support vector machines 15.9%, bundling 16.3% to 17.8%, and penalized discriminant analysis 16.8% show the best results. Conclusions: Using nested-loop cross-validation we account for the tuning of hyperparameters and demonstrate the assessment of different classifiers. We recommend a block design of the bootstrap simulation to allow a statistical assessment of the bootstrap estimates of the misclassification error. The results depend on the data of the clinical study and the given size of the bootstrap sample

Perspektiven der Hochschuldidaktik

KoSi - Werkstattbericht Hochschuldidaktik 1 stellt Arbeiten aus dem Bereich der Arbeitsstelle Hochschuldidaktik im Kompetenzzentrum der Universität Siegen vor. a) Hochschulpädagogik als Arbeitsprinzip, b) Mehrsprachigkeit und Studienerfolg, c) Hochschuldidaktik und Neuroscienc

Towards creative information exploration based on Koestler's concept of bisociation

Creative information exploration refers to a novel framework for exploring large volumes of heterogeneous information. In particular, creative information exploration seeks to discover new, surprising and valuable relationships in data that would not be revealed by conventional information retrieval, data mining and data analysis technologies. While our approach is inspired by work in the field of computational creativity, we are particularly interested in a model of creativity proposed by Arthur Koestler in the 1960s. Koestler’s model of creativity rests on the concept of bisociation. Bisociative thinking occurs when a problem, idea, event or situation is perceived simultaneously in two or more “matrices of thought” or domains. When two matrices of thought interact with each other, the result is either their fusion in a novel intellectual synthesis or their confrontation in a new aesthetic experience. This article discusses some of the foundational issues of computational creativity and bisociation in the context of creative information exploration

Redes de bibliotecas en España: la cooperación bibliotecaria como instrumento de desarrollo cultural y científico

Se ofrece una panorámica de la evolución del sistema bibliotecario español en los 10/15 últimos años, comparándola con la situación en el mundo bibliotecario anglosajón. Se analizan los proyectos de cooperación bibliotecaria en España y se apuntan las líneas de interés en los proyectos europeos con participación española. Finalmente se presentan unas conclusiones sobre lo expuesto y una reflexión del papel que deben jugar las bibliotecas en un sistema organizado de Investigación

Optimality of entropic uncertainty relations

The entropic uncertainty relation proven by Maassen and Uffink for arbitrary pairs of two observables is known to be non-optimal. Here, we call an uncertainty relation optimal, if the lower bound can be attained for any value of either of the corresponding uncertainties. In this work we establish optimal uncertainty relations by characterising the optimal lower bound in scenarios similar to the Maassen-Uffink type. We disprove a conjecture by Englert et al. and generalise various previous results. However, we are still far from a complete understanding and, based on numerical investigation and analytical results in small dimension, we present a number of conjectures.Comment: 24 pages, 10 figure

Baculovirus-Mediated Expression of Human 65 kDa and 67 kDa Glutamic Acid Decarboxylases in SF9 Insect Cells and Their Relevance in Diagnosis of Insulin-Dependent Diabetes Mellitus

cDNAs coding for the full-length human 65 and 67 kDa glutamic acid decarboxylases (GAD65 and GAD67) were amplified from pancreas and hippocampus cDNA libraries by polymerase chain reaction, respectively. Both cDNAs were inserted into a baculovirus vector which mediated highly efficient expression of the human GAD65 and GAD67 with histidine-hexapeptides as affinity ligands at their C-termini in Spodoptera frugiperda (Sf9) cells. The recombinant GAD proteins were purified to homogeneity by affinity chromatography using a metal-chelating matrix. The infected Sf9 insect cells expressed the recombinant human GAD65 and GAD67 with natural-like conformations, as confirmed by measurement of their enzyme activities as well as their fully restored autoantigenicities. Immunoprecipitation of metabolically labeled infected Sf9 cells demonstrated the autoantigenic potential of the recombinant GAD proteins. The practicability of using recombinant GAD65 and GAD67 derived from the baculovirus expression system for the development of an immunoassay for the diagnosis of insulin-dependent diabetes mellitus is discussed

Ensemble Pruning for Glaucoma Detection in an Unbalanced Data Set

Background: Random forests are successful classifier ensemble methods consisting of typically 100 to 1000 classification trees. Ensemble pruning techniques reduce the computational cost, especially the memory demand, of random forests by reducing the number of trees without relevant loss of performance or even with increased performance of the sub-ensemble. The application to the problem of an early detection of glaucoma, a severe eye disease with low prevalence, based on topographical measurements of the eye background faces specific challenges. Objectives: We examine the performance of ensemble pruning strategies for glaucoma detection in an unbalanced data situation. Methods: The data set consists of 102 topographical features of the eye background of 254 healthy controls and 55 glaucoma patients. We compare the area under the receiver operating characteristic curve (AUC), and the Brier score on the total data set, in the majority class, and in the minority class of pruned random forest ensembles obtained with strategies based on the prediction accuracy of greedily grown sub-ensembles, the uncertainty weighted accuracy, and the similarity between single trees. To validate the findings and to examine the influence of the prevalence of glaucoma in the data set, we additionally perform a simulation study with lower prevalences of glaucoma. Results: In glaucoma classification all three pruning strategies lead to improved AUC and smaller Brier scores on the total data set with sub-ensembles as small as 30 to 80 trees compared to the classification results obtained with the full ensemble consisting of 1000 trees. In the simulation study, we were able to show that the prevalence of glaucoma is a critical factor and lower prevalence decreases the performance of our pruning strategies. Conclusions: The memory demand for glaucoma classification in an unbalanced data situation based on random forests could effectively be reduced by the application of pruning strategies without loss of performance in a population with increased risk of glaucoma

Durchgängiges Informationsmanagement für den Bauprozeß von Einfamilienhäusern

Informations-und Kommunikationtechniken haben im Bauwesen noch nicht die gewünschten Vorteile für Kosten und Qualität von Bauobjekten erzielt. Die Vielfalt der dafür genutzten Systeme und Formate führt häufig zu Redundanzen und Informationsverlusten in den Planungs- und Bauprozessen sowie Problemen beim Datenaustausch zwischen den Systemen. Durch die Datenmengen, die in CAD, AVA, Terminplanung, Tabellenkalkulation, Textverarbeitung etc. durch unterschiedliche Beteiligte erzeugt werden, ist darüber hinaus das Risiko einer unterschiedlichen Datenaktualität enorm. Als Konsequenz dieser Erkenntnisse bestand die Aufgabe, eine ganzheitliche und durchgängige Produkt- und Prozeßstrategie für den preiswerten Einfamilienhausbau zu entwickeln. Die Grundlage dafür bildet ein komplexes System von rationellen Entwurfsregeln, Konstruktionslösungen und Bau- und Baustofflogistikkonzepten auf der Basis moderner Informations- und Kommunikationstechnologien