Museum Schwab. Eine Sammlung, eine Idee und steter Wandel

1865, vier Jahre vor seinem Tod, schenkt der Bieler Sammler Friedrich Schwab seine archäologischen Objekte der Stadt. Er möchte damit den Bewohnern Biels, vor allem der Jugend, einen reichen Fundus zur Verfügung stellen, der einen Einblick in den Alltag der prähistorischen Bewohner der Region bietet. Bis heute ist die Sammlung Schwab ein Studienobjekt für Archäologen geblieben und inspiriert Öffentlichkeit und Schulklassen: So sieht Friedrich Schwab seinen Willen auch nach bald 150 Jahren noch immer erfüllt. Die vorliegende Publikation erläutert die wechselvolle Geschichte des Museums Schwab und bietet gleichzeitig einen Überblick über die archäologische Erforschung der Drei-Seen-Region: von der Entdeckung der ersten Pfahlbausiedlungen bis zu ihrer Aufnahme in das UNESCO Welterbe. Sie folgt den Sammlungen eines Universalmuseums auf ihrer Odyssee, weist auf Details einer einmaligen Architektur hin und zeigt die Zusammenhänge zwischen Kulturpolitik und der aktuellen Bieler Museumslandschaft auf.

Museum libraries : how digitization can enhance the value of the museum

Es responsabilidad de la biblioteca de museo mejorar la comprensión de la colección del museo y el rol de los objetos de museo como documentos culturales. Por muchas razones, este rol solo se cumple parcialmente, si es que se cumple. Esto es debido a que en la práctica la biblioteca y el museo no están suficientemente integrados para actuar juntos de manera efectiva. Argumentamos que en un mundo digital, la biblioteca y el museo pueden y deben ser reintegrados en un único sistema de información cultural. Sin embargo, dado que en la práctica la digitalización de la biblioteca y del museo siguen diferentes caminos, los museos y sus bibliotecas tienen que cambiar su pensamiento acerca de cómo proceder

Museum libraries : how digitization can enhance the value of the museum

Es responsabilidad de la biblioteca de museo mejorar la comprensión de la colección del museo y el rol de los objetos de museo como documentos culturales. Por muchas razones, este rol solo se cumple parcialmente, si es que se cumple. Esto es debido a que en la práctica la biblioteca y el museo no están suficientemente integrados para actuar juntos de manera efectiva. Argumentamos que en un mundo digital, la biblioteca y el museo pueden y deben ser reintegrados en un único sistema de información cultural. Sin embargo, dado que en la práctica la digitalización de la biblioteca y del museo siguen diferentes caminos, los museos y sus bibliotecas tienen que cambiar su pensamiento acerca de cómo proceder

Museum libraries : how digitization can enhance the value of the museum

Es responsabilidad de la biblioteca de museo mejorar la comprensión de la colección del museo y el rol de los objetos de museo como documentos culturales. Por muchas razones, este rol solo se cumple parcialmente, si es que se cumple. Esto es debido a que en la práctica la biblioteca y el museo no están suficientemente integrados para actuar juntos de manera efectiva. Argumentamos que en un mundo digital, la biblioteca y el museo pueden y deben ser reintegrados en un único sistema de información cultural. Sin embargo, dado que en la práctica la digitalización de la biblioteca y del museo siguen diferentes caminos, los museos y sus bibliotecas tienen que cambiar su pensamiento acerca de cómo proceder

Global distributions of Phaeocystis sp. abundance and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types

The planktonic haptophyte Phaeocystis has been suggested to play a fundamental role in the global biogeochemical cycling of carbon and sulphur, but little is known about its global biomass distribution. We have collected global microscopy data of the genus Phaeocystis and converted abundance data to carbon biomass using species-specific carbon conversion factors. Microscopic counts of single-celled and colonial Phaeocystis were obtained both through the mining of online databases and by accepting direct submissions (both published and unpublished) from Phaeocystis specialists. We recorded abundance data from a total of 1595 depth-resolved stations sampled between 1955-2009. The quality-controlled dataset includes 5057 counts of individual Phaeocystis cells resolved to species level and information regarding life-stages from 3526 samples. 83% of stations were located in the Northern Hemisphere while 17% were located in the Southern Hemisphere. Most data were located in the latitude range of 50-70° N. While the seasonal distribution of Northern Hemisphere data was well-balanced, Southern Hemisphere data was biased towards summer months. Mean species- and form-specific cell diameters were determined from previously published studies. Cell diameters were used to calculate the cellular biovolume of Phaeocystis cells, assuming spherical geometry. Cell biomass was calculated using a carbon conversion factor for Prymnesiophytes (Menden-Deuer and Lessard, 2000). For colonies, the number of cells per colony was derived from the colony volume. Cell numbers were then converted to carbon concentrations. An estimation of colonial mucus carbon was included a posteriori, assuming a mean colony size for each species. Carbon content per cell ranged from 9 pg (single-celled Phaeocystis antarctica) to 29 pg (colonial Phaeocystis globosa). Non-zero Phaeocystis cell biomasses (without mucus carbon) range from 2.9 - 10?5 µg l-1 to 5.4 - 103 µg l-1, with a mean of 45.7 µg l-1 and a median of 3.0 µg l-1. Highest biomasses occur in the Southern Ocean below 70° S (up to 783.9 µg l-1), and in the North Atlantic around 50° N (up to 5.4 - 103 µg l-1).

On loader productivity, rock strength and explosive energy in metal mining

Twenty production blasts in two open pit mines were monitored, in rocks with medium to very high strength. Three different blasting agents (ANFO, watergel and emulsion blend) were used, with powder factors ranging between 0.88 and 1.45 kg/m3. Excavators were front loaders and rope shovels. Mechanical properties of the rock, blasting characteristics and mucking rates were carefully measured. A model for the calculation of the productivity of excavators is developed thereof, in which the production rate results as a product of an ideal, maximum, productivity rate times an operating efficiency. The maximum rate is a function of the dipper capacity and the efficiency is a function of rock density, strength, and explosive energy concentration in the rock. The model is statistically significant and explains up to 92 % of the variance of the production rate measurements.

Data mining applied to the cognitive rehabilitation of patients with acquired brain injury

Acquired brain injury (ABI) is one of the leading causes of death and disability in the world and is associated with high health care costs as a result of the acute treatment and long term rehabilitation involved. Different algorithms and methods have been proposed to predict the effectiveness of rehabilitation programs. In general, research has focused on predicting the overall improvement of patients with ABI. The purpose of this study is the novel application of data mining (DM) techniques to predict the outcomes of cognitive rehabilitation in patients with ABI. We generate three predictive models that allow us to obtain new knowledge to evaluate and improve the effectiveness of the cognitive rehabilitation process. Decision tree (DT), multilayer perceptron (MLP) and general regression neural network (GRNN) have been used to construct the prediction models. 10-fold cross validation was carried out in order to test the algorithms, using the Institut Guttmann Neurorehabilitation Hospital (IG) patients database. Performance of the models was tested through specificity, sensitivity and accuracy analysis and confusion matrix analysis. The experimental results obtained by DT are clearly superior with a prediction average accuracy of 90.38%, while MLP and GRRN obtained a 78.7% and 75.96%, respectively. This study allows to increase the knowledge about the contributing factors of an ABI patient recovery and to estimate treatment efficacy in individual patients.

Collaborative data stream mining in ubiquitous environments using dynamic classifier selection

In ubiquitous data stream mining applications, different devices often aim to learn concepts that are similar to some extent. In these applications, such as spam filtering or news recommendation, the data stream underlying concept (e.g., interesting mail/news) is likely to change over time. Therefore, the resultant model must be continuously adapted to such changes. This paper presents a novel Collaborative Data Stream Mining (Coll-Stream) approach that explores the similarities in the knowledge available from other devices to improve local classification accuracy. Coll-Stream integrates the community knowledge using an ensemble method where the classifiers are selected and weighted based on their local accuracy for different partitions of the feature space. We evaluate Coll-Stream classification accuracy in situations with concept drift, noise, partition granularity and concept similarity in relation to the local underlying concept. The experimental results show that Coll-Stream resultant model achieves stability and accuracy in a variety of situations using both synthetic and real world datasets.