Interactions of pyridinium, pyrrolidinium or piperidinium based ionic liquids with water: measurements and COSMO-RS modelling

Looking for a better knowledge concerning water and ionic liquids (ILs) interactions, a systematic study of the activity coefficients of water in pyridinium, pyrrolidinium and piperidinium-based ILs at 298.2 K is here presented based on water activity measurements. Additionally, the study of the structural effects of the pyridinium-based cation is also pursued. The results show that non-aromatic ILs are interacting more with water than aromatic ones, and among the ortho, meta and para isomers of 1-butyl-methylpyridinium chloride, the ortho position confers a more hydrophilic character to that specific IL. The physicalchemistry of the solutions was interpreted based on dissociation constants, natural bond orbitals and excess enthalpies providing a sound basis for the interpretation of the experimental observations. These results show that hydrogen bonding controls the behavior of these systems, being the anion-water one of the most relevant interactions, but modulated by the anionecation interactions.

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks. Results: We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods. In contrast to other microarray-related web-tools, multiple algorithms and data sets for an analysis task can be combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration. By interlinking different analysis tools in a modular fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from a gene set analysis and data from multiple studies. The analysis is further simplified by automatic parameter selection mechanisms and linkage to web tools and databases for functional annotation and literature mining. Conclusion: ArrayMining.net is a free web-application for microarray analysis combining a broad choice of algorithms based on ensemble and consensus methods, using automatic parameter selection and integration with annotation databases.

Ecologically relevant characteristics of flow-regime of Rufiji Basin in Tanzania (an ensemble of ecohydrological clues to infer associeted ramifications on dtream and ecosystem)

Dissertação de Mestrado, Ecohidrologia - Erasmus Mundus, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014

Assimilation or Transnationalism? Evidence from the Latino National Survey for Mexicans, Puerto Ricans, Cubans, and South Americans who Immigrated to the USA from 1958 to 2005

http://digitalcommons.fiu.edu/cri_events/1215/thumbnail.jpg

Ensemble Stream Model for Data-Cleaning in Sensor Networks

Ensemble Stream Modeling and Data-cleaning are sensor information processing systems have different training and testing methods by which their goals are cross-validated. This research examines a mechanism, which seeks to extract novel patterns by generating ensembles from data. The main goal of label-less stream processing is to process the sensed events to eliminate the noises that are uncorrelated, and choose the most likely model without over fitting thus obtaining higher model confidence. Higher quality streams can be realized by combining many short streams into an ensemble which has the desired quality. The framework for the investigation is an existing data mining tool. First, to accommodate feature extraction such as a bush or natural forest-fire event we make an assumption of the burnt area (BA*), sensed ground truth as our target variable obtained from logs. Even though this is an obvious model choice the results are disappointing. The reasons for this are two: One, the histogram of fire activity is highly skewed. Two, the measured sensor parameters are highly correlated. Since using non descriptive features does not yield good results, we resort to temporal features. By doing so we carefully eliminate the averaging effects; the resulting histogram is more satisfactory and conceptual knowledge is learned from sensor streams. Second is the process of feature induction by cross-validating attributes with single or multi-target variables to minimize training error. We use F-measure score, which combines precision and accuracy to determine the false alarm rate of fire events. The multi-target data-cleaning trees use information purity of the target leaf-nodes to learn higher order features. A sensitive variance measure such as f-test is performed during each node’s split to select the best attribute. Ensemble stream model approach proved to improve when using complicated features with a simpler tree classifier. The ensemble framework for data-cleaning and the enhancements to quantify quality of fitness (30% spatial, 10% temporal, and 90% mobility reduction) of sensor led to the formation of streams for sensor-enabled applications. Which further motivates the novelty of stream quality labeling and its importance in solving vast amounts of real-time mobile streams generated today.

Informational masking and the effects of differences in fundamental frequency and fundamental-frequency contour on phonetic integration in a formant ensemble

This study explored the effects on speech intelligibility of across-formant differences in fundamental frequency (ΔF0) and F0 contour. Sentence-length speech analogues were presented dichotically (left=F1+F3; right=F2), either alone or—because competition usually reveals grouping cues most clearly—accompanied in the left ear by a competitor for F2 (F2C) that listeners must reject to optimize recognition. F2C was created by inverting the F2 frequency contour. In experiment 1, all left-ear formants shared the same constant F0 and ΔF0F2 was 0 or ±4 semitones. In experiment 2, all left-ear formants shared the natural F0 contour and that for F2 was natural, constant, exaggerated, or inverted. Adding F2C lowered keyword scores, presumably because of informational masking. The results for experiment 1 were complicated by effects associated with the direction of ΔF0F2; this problem was avoided in experiment 2 because all four F0 contours had the same geometric mean frequency. When the target formants were presented alone, scores were relatively high and did not depend on the F0F2 contour. F2C impact was greater when F2 had a different F0 contour from the other formants. This effect was a direct consequence of the associated ΔF0; the F0F2 contour per se did not influence competitor impact.

Genus i ensemble : En intervjustudie om lärares syn på genusuppdraget och dess innebörd för ensembleämnet

Syftet med undersökningen är att med avseende på skolans genusuppdrag studera musiklärares förhållningsätt i ensembleundervisning på gymnasieskolan. För att uppnå detta har kvalitativa, semistrukturerade intervjuer genomförts med lärare i gymnasiekursen ensemble, följt av diskursanalys på transkriberingar av dessa intervjuer. De teoretiska utgångspunkterna är genusteorier och diskursteorier. I resultatet framkommer lärarnas syn på genusbegreppet och genusuppdraget. Bland de genusdiskurser som presenteras finns synen på genus som rutin, som sidoeffekt på annat arbete och som medvetenhet. Gällande elevsyn visar sig diskurser om eleven som platstagare, som normbrytare och vikten av att eleven känner sig som en synbar individ. Slutledningarna, liksom diskussionskapitlet, rör sig kring genusarbetets framgångar, vilka faktorer som kan ha orsakat dessa, och hur arbetet förändrats på skolorna utifrån dessa framgångar. Genomgående har ett individfokus framkommit, där eleverna inte ses som en grupp, utan som enskilda individer, vilka alla måste mötas personligt.

Modern Ensemble Inverted Space January 29, 2015

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Modern Music Ensemble Inverted Space November 22, 2013

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Exiled Wind Ensemble Chamber Winds Timothy Salzman, conductor October 23, 2016

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Music of Today Series presents Talea Ensemble April 8, 2013

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Modern Band Cuong Vu Studio Jazz Ensemble Paul Harshman November 14, 2016

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The Baroque Ensemble November 22, 2016

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UW Modern Music Ensemble presents Steve Reich An 80th Birthday Celebration with special guests UW Percussion Ensemble December 6, 2016

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UW Symphonic Band UW Wind Ensemble December 8, 2016

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