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    221 research outputs found

    Open University

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    <p>One task in the EuroTeQ Engineering University, WP4 Ideate the professional, is to list the current habits and make recommendations concerning the concept of Open University, which means the university's interaction with its industry partners. </p><p>To do so, we have gathered, by discussion, interviews, and questionnaires, information about the existing practices in each university and tried to identify the main constitutive principles and their potential development or organization at the European level. </p><p>We identified three main directions for these interactions: </p><ul><li><strong>Outreach, </strong>where, in addition to a well-established interaction with industry, we consider the exposition and transfer of cultural and scientific contents from universities to industry actors, society and the general public. </li><li><strong>Advising, </strong>as participation of stakeholders to the different governing and advisory boards and </li><li><strong>Cross participation </strong>is how external industry actors contribute to teaching and training and how students contribute to or integrate into the economic life of industry and services (<i>lifelong learning aside</i>). </li></ul><p>This aspect of lifelong learning is to be treated in companion work packages. The present document presents the outcomes for each of these three directions. </p><p>Leading university: Technical University of Denmark (DTU).</p&gt

    Lõputöös "Liivi lahe jääolude ajlis-ruumiline muutlikus" kasutatud andmed.

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    <p>Originaal andmed on võetud Copernicus Marine kodulehelt. Dataset kujutab endast NEMO-Nordic mudeli poolt koostatud päevade keskmised jää paksuse ja jää kontsentratsiooni väärtused Liivi lahes ajavahemikus 1993-2021. </p&gt

    Stochastic scale-free network SIR simulations

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    <p>Simulation of spreading of COVID desease on scalefree population network. Testing the effect of different vaccination scenarios on a population network using random and targeted attacks. This is a Python3 program whose dependencies are managed by a venv.</p><p>Acknowledgment: The work was partly supported by the Estonian Research Council grant COVSG22.</p&gt

    Geoprocess of geospatial urban data in Tallinn, Estonia

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    <p>Data were acquired via geoprocessing, programming, and analysis.</p><p>The application of an ascending hierarchical grid system is based on the theory of dynamic urban heterogeneity and considers data schema, features, and location. Data processing was done using Python programming packages and the QGIS Tool for geoprocessing and analysis.</p><p>The extensive multidisciplinary presented dataset is collected with 34,001 building samples (34,001 raws) and 31 features (31 columns) from all 8 districts of Tallinn, including location, building characteristics, urban characteristics, UHI data, and climate data. The current work methodology proposes a framework to categorize data into homogeneous or heterogeneous, static or dynamic schemes, and then collect data considering the homogeneous grid system. The implementation of the hierarchical grid system in the data collection process helps:</p><p>First, create a spatial index for each object and connect the objects to the grid system.</p><p>Second, use the homogeneous ground to define urban indices mainly anchored in the heterogeneous data.</p><p>The methodology uses the Python and the Numpy and Pandas libraries, as well as the Geopandas package in the Python environment and QGIS Tool. The approach helps to capture urban data from GIS resources, taking into account the location, general characteristics, other specifications, and spatial properties of urban elements.</p&gt

    Metabolic network analysis of Rhodotorula toruloides using stoichiometric models and proteomics analysis

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    <p>Oral presentation was delivered at the FEBS3+ Conference of Estonian, Latvian and Lithuanian Biochemical Societies on June 16, 2022, in Tallinn, Estonia.</p&gt

    Improving Language Identification of Accented Speech

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    <p>Language identification from speech is a common preprocessing step in many spoken language processing systems. In recent years, this field has seen fast progress, mostly due to the use of self-supervised models pretrained on multilingual data and the use of large training corpora. This paper shows that for speech with a non-native or regional accent, the accuracy of spoken language identification systems drops dramatically, and that the accuracy of identifying the language is inversely correlated with the strength of the accent. We also show that using the output of a lexicon-free speech recognition system of the particular language helps to improve language identification performance on accented speech by a large margin, without sacrificing accuracy  on native speech. We obtain relative error rate reductions ranging from to 35 to 63% over the state-of-the-art  model across several non-native speech datasets.</p&gt

    The ice-core stable isotope records from small Arctic ice caps as proxis of climatic and evironmental changes

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    <p>Stable water isotopic composition (δ18O and δD) of ice cores is commonly known as one of the most valuable paleo-climate proxies for temperature conditions of the precipitation formation in the past. The observed relationship between air temperature and isotopic content of the precipitation both geographical and temporal has been robustly confirmed experimentally and explained theoretically. Isotopic data extracted from deep ice cores from the polar ice sheets have contributed much information on climate variability both on inter-annual and ice ages time scales. However, most of the available ice core records from the northern hemisphere are from the cold dry firn zone in interior Greenland.</p><p> </p><p><a href="https://meetingorganizer.copernicus.org/EGU2011/EGU2011-8934-1.pdf">https://meetingorganizer.copernicus.org/EGU2011/EGU2011-8934-1.pdf</a></p&gt

    Metabolic flux and proteome analysis of lipid production in Rhodotorula toruloides

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    <p>Oral presentation was delivered at the 15th Yeast Lipid Conference, Chalmers University of Technology, on June 2, 2022, in Gothenburg, Sweden.</p&gt

    Research of thermal stability of a solid modified resorcinol - alkylresorcinol - formaldehyde resin

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    <p>The synthesis of resorcinol-alkylresorcinol-formaldehyde resins modified by styrene, where part of resorcinol is swapped with oil shale alkyresorcinols with boiling point of 270 ˚C, was held in order to enlarge the possibilities of using oil shale phenols. These resins were researched by the TGA-method. The thermal decay definition was studied in inert nitrogen environment, and resins' thermooxidizing destruction - in air atmosphere. The takeoff of the integral curves was done in the dynamic regime with linear temperature rise from 25 ˚C to 830 ˚C with a pace of 5 ˚C/min. The pace of gas stream is 50 ml/min.</p><p>The content of the volatile (105 ˚C) resin components and its ash content (830 ˚C). The half-life, responsible for the heat resistance prolonged storage, was set up in the oxidizable environment for the synthesized resins. After heating resins in the nitrogen environment with constant pace of heating until 830 ˚C, coal numbers values were received. Coal numbers characterizes the amount of non-volatile residue (coal) in resins, and allows to estimate their ability to carbonize.</p><p>34th Oil Shale Symposium, October 13-17, 2014, Colorado School of Mines, Golden, Colorado</p&gt

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