288 research outputs found

    Chatten in het literatuuronderwijs

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    Comparative assessment of the vulnerability and resilience of 10 deltas : work document

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    Background information about: Nile delta (Egypt), Incomati delta (Mozambique), Ganges-Brahmaputra-Meghna (Bangladesh), Yangtze (China), Ciliwung (Indonesia), Mekong (Vietnam), Rhine-Meuse (The Netherlands), Danube (Romania), California Bay-Delta, Mississippi River Delta (USA

    Enhancing target language output through synchronous online learner-learner interaction: the impact of audio-, video-, and text-chat interaction on learner output and affect

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    In this study, we compared the impact of audio-, video-, and text-chat interaction on target language use during online learner-learner interaction and on learner affect amongst adolescent learners of German as a foreign language. Repeated measures and ANOVA analyses revealed a high percentage of target language output in all conditions for all four tasks, especially in text chat. Audio-chatters produced the most output and used the most meaning negotiation, compensation strategies, self-repair and other-repair strategies. Learners in all conditions gained in enjoyment, willingness to communicate and self-efficacy. Anxiety reduced for text-chatters. Task effects partly determined the quantity of L2 output, while condition effects determined meaning-oriented and form-focused processing

    Focus on language versus content in the pre-task: Effects of guided peer-video model observations on task performance

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    The present experimental study examined whether a different focus during a pre-task planning observation task affects learners’ subsequent oral task performance. Forty-eight ninth-grade students learning German as a foreign language were randomly assigned to two different planning conditions: video observations with a focus on language (FonL) and video observations with a focus on content (FonC). With a communicative oral task we measured the effects on oral task performance, in terms of attempted (accurate) use of the target structure and complexity, in terms of number of words, subordination and coordination. In addition we investigated whether there was a trade-off between attempted (accurate) use of the target structure and complexity. Results showed that the focus of the observations at the pre-task stage did indeed lead to different outcomes: students in the language condition used the grammatical target structure more often and more accurately, whereas students of the content condition generated more coordinate and subordinate clauses. Trade-offs were found between attempted (accurate) use of the target structure and the use of subordinate clauses. These findings imply that, depending on the purposes of the lesson, the observation of peer-model videos with different planning foci can be effectively used to promote (accurate) use of targeted grammatical structures and improve complexity during subsequent task performance

    AGMIAL: implementing an annotation strategy for prokaryote genomes as a distributed system

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    We have implemented a genome annotation system for prokaryotes called AGMIAL. Our approach embodies a number of key principles. First, expert manual annotators are seen as a critical component of the overall system; user interfaces were cyclically refined to satisfy their needs. Second, the overall process should be orchestrated in terms of a global annotation strategy; this facilitates coordination between a team of annotators and automatic data analysis. Third, the annotation strategy should allow progressive and incremental annotation from a time when only a few draft contigs are available, to when a final finished assembly is produced. The overall architecture employed is modular and extensible, being based on the W3 standard Web services framework. Specialized modules interact with two independent core modules that are used to annotate, respectively, genomic and protein sequences. AGMIAL is currently being used by several INRA laboratories to analyze genomes of bacteria relevant to the food-processing industry, and is distributed under an open source license

    AGMIAL: implementing an annotation strategy for prokaryote genomes as a distributed system

    Get PDF
    We have implemented a genome annotation system for prokaryotes called AGMIAL. Our approach embodies a number of key principles. First, expert manual annotators are seen as a critical component of the overall system; user interfaces were cyclically refined to satisfy their needs. Second, the overall process should be orchestrated in terms of a global annotation strategy; this facilitates coordination between a team of annotators and automatic data analysis. Third, the annotation strategy should allow progressive and incremental annotation from a time when only a few draft contigs are available, to when a final finished assembly is produced. The overall architecture employed is modular and extensible, being based on the W3 standard Web services framework. Specialized modules interact with two independent core modules that are used to annotate, respectively, genomic and protein sequences. AGMIAL is currently being used by several INRA laboratories to analyze genomes of bacteria relevant to the food-processing industry, and is distributed under an open source license

    Membrane Topology of the Lactococcal Bacteriocin ATP-binding Cassette Transporter Protein LcnC. Involvement of LcnC in Lactococcin A Maturation

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    Many non-lantibiotic bacteriocins of lactic acid bacteria are produced as precursors with N-terminal leader peptides different from those present in preproteins exported by the general sec-dependent (type II) secretion pathway. These bacteriocins utilize a dedicated (type I) secretion system for externalization. The secretion apparatus for the lactococcins A, B, and M/N (LcnA, B, and M/N) from Lactococcus lactis is composed of the two membrane proteins LcnC and LcnD. LcnC belongs to the ATP-binding cassette transporters, whereas LcnD is a protein with similarities to other accessory proteins of type I secretion systems. This paper shows that the N-terminal part of LcnC is involved in the processing of the precursor of LcnA. By making translational fusions of LcnC to the reporter proteins β-galactosidase (LacZ) and alkaline phosphatase (PhoA*), it was shown that both the N- and C-terminal parts of LcnC are located in the cytoplasm. As the N terminus of LcnC is required for LcnA maturation and is localized in the cytoplasm, we conclude that the processing of the bacteriocin LcnA to its mature form takes place at the cytosolic side of the cytoplasmic membrane.
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