883 research outputs found
The Spoken Wikipedia Corpora
No full textThe Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Timo Baumann and Arne Köhn and Felix Hennig. 2018. The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening, in Language Resources and Evaluation, Special Issue representing significant contributions of LREC 2016.
Arne Köhn, Florian Stegen, Timo Baumann. 2016. Mining the Spoken Wikipedia for Speech Data and Beyond, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
CLARIN Metadata summary for The Spoken Wikipedia Corpora (CMDI-based)
Title: The Spoken Wikipedia Corpora
Description: The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Publication date: 2017
Data owner: Timo Baumann - Universität Hamburg
Contributors: Timo Baumann (author), Arne Köhn (author), Florian Stegen (author)
Languages: English (eng), German (deu), Dutch (nld)
Size: 5397 article, 1005 hour
Segmentation units: other
Genre: encyclopedia
Modality: spoken
References: Timo Baumann; Arne Köhn; Felix Hennig (2018) The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening References: Arne Köhn; Florian Stegen; Timo Baumann (2016) Mining the Spoken Wikipedia for Speech Data and Beyon
Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE
No full textThis dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader).
Furthermore, it contains the version of preCICE used throughout this thesis.
The thesis revolves around GPU acceleration of RBF data mapping in preCICE. See the README for more information how to build and run the testcase
LFQProfiler and RNPxl: Open-source tools for label-free quantification and protein-RNA cross-linking integrated into Proteome Discoverer.
No full textModern mass spectrometry setups used in today's proteomics studies generate vast amounts of raw data, calling for highly efficient data processing and analysis tools. Software for analyzing these data is either monolithic (easy to use, but sometimes too rigid) or workflow-driven (easy to customize, but sometimes complex). Thermo Proteome Discoverer (PD) is a powerful software for workflow-driven data analysis in proteomics which, in our eyes, achieves a good trade-off between flexibility and usability. Here, we present two open-source plugins for PD providing additional functionality: LFQProfiler for label-free quantification of peptides and proteins, and RNPxl for UV-induced peptide-RNA cross-linking data analysis. LFQProfiler interacts with existing PD nodes for peptide identification and validation and takes care of the entire quantitative part of the workflow. We show that it performs at least on par with other state-of-the-art software solutions for label-free quantification in a recently published benchmark ( Ramus, C.; J. Proteomics 2016 , 132 , 51 - 62 ). The second workflow, RNPxl, represents the first software solution to date for identification of peptide-RNA cross-links including automatic localization of the cross-links at amino acid resolution and localization scoring. It comes with a customized integrated cross-link fragment spectrum viewer for convenient manual inspection and validation of the results
Photo-cross-linking and high-resolution mass spectrometry for assignment of RNA-binding sites in RNA-binding proteins
No full textRNA-protein complexes play pivotal roles in many central biological processes. Although methods based on high-throughput sequencing have advanced our ability to identify the specific RNAs bound by a particular protein, there is a need for precise and systematic ways to identify RNA interaction sites on proteins. We have developed an experimental and computational workflow combining photo-induced cross-linking, high-resolution mass spectrometry and automated analysis of the resulting mass spectra for the identification of cross-linked peptides, cross-linking sites and the cross-linked RNA oligonucleotide moieties of such RNA-binding proteins. The workflow can be applied to any RNA-protein complex of interest or to whole proteomes. We applied the approach to human and yeast mRNA-protein complexes in vitro and in vivo, demonstrating its powerful utility by identifying 257 cross-linking sites on 124 distinct RNA-binding proteins. The open-source software pipeline developed for this purpose, RNPxl, is available as part of the OpenMS project
Timo de Rijk: 'We plant the seed'; interview
No full textArt historian Timo de Rijk was appointed Professor of Design, Culture and Society in Delft and Leiden last September. He calls this combination ‘a real breakthrough’. ‘Leiden University studies the workings of culture, while TU Delft aims at creating new things. These are fundamentally different approaches. I am the bridge between the two.’Industrial Design Engineerin
Dithiothreitol (DTT) acts as a specific, UV-inducible cross-linker in elucidation of protein-RNA interactions.
No full textProtein-RNA cross-linking by UV irradiation at 254 nm wavelength has been established as an unbiased method to identify proteins in direct contact with RNA, and has been successfully applied to investigate the spatial arrangement of protein and RNA in large macromolecular assemblies, e.g. ribonucleoprotein-complex particles (RNPs). The mass spectrometric analysis of such peptide-RNA cross-links provides high resolution structural data to the point of mapping protein-RNA interactions to specific peptides or even amino acids. However, the approach suffers from the low yield of cross-linking products, which can be addressed by improving enrichment and analysis methods. In the present article, we introduce dithiothreitol (DTT) as a potent protein-RNA cross-linker. In order to evaluate the efficiency and specificity of DTT, we used two systems, a small synthetic peptide from smB protein incubated with U1 snRNA oligonucleotide and native ribonucleoprotein complexes from S. cerevisiae. Our results unambiguously show that DTT covalently participates in cysteine-uracil crosslinks, which is observable as a mass increment of 151.9966 Da (C4H8S2O2) upon mass spectrometric analysis. DTT presents advantages for cross-linking of cysteine containing regions of proteins. This is evidenced by comparison to experiments where (tris(2-carboxyethyl)phosphine) is used as reducing agent, and significantly less cross-links encompassing cysteine residues are found. We further propose insertion of DTT between the cysteine and uracil reactive sites as the most probable structure of the cross-linking products
Educación Artística Comunitaria en Finlandia: entrevista a Timo Jokela
No full textEste artículo presenta un estudio sobre la educación artística comunitaria en la Universidad de Laponia en Finlandia. En primer lugar se analizan las líneas principales de este modelo formativo y de su plan de estudios. En segundo lugar se presenta una entrevista con Timo Jokela, Decano de la Facultad de Arte y Diseño de la Universidad de Laponia y director del Departamento de Educación Artística en esa misma Facultad. En la entrevista Timo Jokela habla de las relaciones entre arte, medio ambiente, comunidad y educación partiendo de su propia experiencia como artista y centrado en el contexto finlandés. También sobre los aspectos sociales, culturales, artísticos y educativos que están implícitos en el modelo de educación artística comunitaria que se pone en práctica, como itinerario formativo, en la Universidad de Laponia.
This article presents a study on community-based art education at the University of Lapland in Finland. First, the main guidelines of this training model and its curriculum are analysed. Second, the author includes an interview with Timo Jokela, Dean of the Faculty of Art and Design of The University of Lapland in Finland and Director of the Department of Art Education at the same faculty. In the interview Timo Jokela draws upon his own experience as an artist in Finland to talk about the relationships between art, the environment, community and education. He also talks about the social, cultural, artistic and educational aspects, which are central to the community-based art education scheme in place at The University of Lapland
Ei-ladattavan hybridiauton esilämmitys : vaikutukset järjestelmän toimintakykyyn
No full textTämän opinnäytetyön tarkoituksena oli tutkia ja selvittää sähköisen esilämmityksen vaikutuksia hybridijärjestelmän toimintaan. Työssä tarkasteltiin erityisesti vaikutuksia matkaan joka ajettiin pelkästään käyttämällä sähköä auton hybridiakustosta. Samalla seurattiin auton polttoaineen keskikulutuksen muutoksia. Nämä vaikutukset saatiin parhaiten näkyviin, ajamalla samoja reittejä esilämmitetyllä ja ilman esilämmitystä olevalla autolla sekä vertailemalla näistä saatuja tuloksia.
Työssä käytettävä hybridiauto on tekijän omistuksessa ja omassa käytössä. Autoa käytetään pääsääntöisesti taajamaliikenteessä, mutta myös maantie- ja moottoritienopeuksissa. Ajaminen koostuu tekijän normaalista auton käytöstä. Työhön kuuluu kolme eri vaihetta. Ensimmäisessä vaiheessa autoa esilämmitettiin ennen jokaista kotona suoritettua liikkeellelähtöä, työn tekemisen aikana voimassa olleiden suosituksien mukaisesti. Toisessa vaiheessa autoa ei esilämmitetty ennen ajoon lähtöä. Kolmannessa vaiheessa tulokset kirjattiin muistiin ja analysoitiin.
Hybridijärjestelmän käyttö vähentää polttoaineen kulutusta ja päästöjä verrattuna pelkästään polttomoottorilla varustettuun autoon. Auton esilämmitys parantaa sekä ajoturvallisuutta että mukavuutta, kun lämpötila on pakkasella tai lähellä nollaa. Esilämmitetty moottori saavuttaa nopeammin normaalin käyntilämpötilan verrattuna moottoriin, jota ei ole esilämmitetty ennen ajoon lähtöä. Kun moottori käy normaalilla käyntilämpötilallaan, päästöt ja polttoaineen kulutus pienentyvät verrattuna kylmänä käyvään moottoriin. Myös käynnistyksen päästöjä saadaan pienennettyä esilämmityksellä.
Autolla on ajettu pääsääntöisesti lyhyitä matkoja, jolloin järjestelmän polttomoottori ei ole saavuttanut normaalia käyntilämpötilaansa. Työn tuloksena havaittiin, että esilämmitys vaikuttaa myönteisesti hybridijärjestelmän kykyyn käyttää pelkästään sähkömoottoria auton liikuttamiseen. Tämä tulos on ennakko-odotusten mukainen.The purpose of the thesis was to study the effects of electronic preheating on the operation of a hybrid system. The impact of the trip, which was driven by using only electricity from the car hybrid battery, was specifically examined in this thesis. At the same time, changes in the average fuel consumption of the car were tracked. The effects were best noticed driving the same routes with a preheated car and the car without preheating, and comparing the results.
The hybrid car used in the work is owned and used by the author. The car is mainly used in urban area but also at highway speeds. Driving consists of the author´s normal car use. The work involved three different phases. In the first phase, the car was preheated before each start-up at home, in accordance with the recommendations in force at the time of the work. In the second phase, the car was not preheated before start-ups. In the third phase, the results were reported and analyzed.
Using a hybrid system in a car reduces fuel consumption and emissions compared to a car with an internal combustion engine only. Car preheating improves both driving safely and comfort when the temperature is low or near zero degrees. A preheated engine reaches faster its normal operating temperature compared to an engine that has not been preheated before driving. When the engine is running at its normal operating temperature, emissions and fuel consumption are reduced compared to a cold engine. Start-up emissions can also be reduced by preheating.
The car has been mainly driven for short distances, whereupon the internal combustion engine of the system has not reached its normal operating temperature. The study shows that preheating has a positive effect on the ability of the hybrid system to use only an electric motor to move the car. This result is in line with the expectations
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