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The aim of the present study was to test the influence of picture composition on the narrative complexity of preschool children, and to compare the different procedures of the Cat Story of Hickmann (2002) and the Fox Story of Gülzow & Gagarina (2007) with the Baby Birds and Baby Goats Story of MAIN, by Gagarina et al. (2012). For this purpose, 27 children between the ages of 5;01 and 6;09 were tested with both variants to check whether a macro-structurally controlled picture structure would lead to more complex stories. The results show that narratives with a Goal-Attempt-Outcome structure, i.e. the Baby Birds and Baby Goats Stories, make children with increasing age tell more complex stories by means of a rise in story complexity than the narratives of Hickmann and Gülzow & Gagarina without that structure.
This paper focuses on morphological verb errors in elicited narratives of Russian-German primary school bilinguals. The data was collected from 37 children who were separated into four groups according to the age and language acquisition type (simultaneous and successive). The Multilingual Assessment Instrument for Narratives (MAIN) (Gagarina et al. 2012) was used for data collection. The narratives produced in mode telling after listening to a model story were analysed and morphological verb errors in Russian and German were classified. Therefore, the error classification of Gagarina (2008) for Russian monolingual children was expanded and for the classification of German errors an own classification was suggested. Errors in Russian typically produced by monolinguals and unique bilingual errors as well were documented. The results show that the language of the environment (German) increases with age. Older children make fewer errors than younger ones. Nevertheless, a strong heterogeneity between children within each group can be observed.
This study explores the relation between the development of narrative skills at the macrostructural level and the productive lexical abilities (verbs) of German-Russian children. The narratives are elicited using the Multilingual Assessment Instrument for Narratives (MAIN) and the lexical abilities are assessed using different tests. Twenty-one preschoolers (mean age: 3;9), forty-four 1st graders (mean age: 6;11) and twenty-two 3rd graders (mean age: 9;3) were included in the study. Correlation analyses were performed between verb lexicon and the following macrostructural components: Story Structure, Structural Complexity and Internal State Terms. The analysis also targets cross-language effects. In addition, the production of verbs within the elicited narratives was taken into account. Some positive correlations were found; however, no clear pattern across age groups and languages was observed. It is suggested that cognitive abilities might be a more decisive factor than lexical abilities and/or that the verbs assessed via the vocabulary tests are more specific than the ones required to achieve high scores for macrostructure.
A growing body of evidence shows a positive relation between the language skills of a child and the socio-economic status (SES) of his/her parents. These studies have mainly been conducted in an American English monolingual context. The current paper addresses the question of whether SES has a comparable impact on the simultaneous bilingual language acquisition. In this study, noun and verb test scores of German simultaneous bilingual children with Turkish and Russian as heritage languages are related to the SES of their parents – to verify the existence and the nature of a common pattern. The results do not show common patterns across the two heritage language groups, suggesting the existence of other confounding factors.
The aim of this paper is to analyse the development of narrative macrostructure and the impact of socio-economic status (SES) and home literacy environment (HLE) on the narrative macrostructure of monolingual preschoolers in Germany when retelling and telling a story. The analysis of narrative macrostructure includes three components: story structure, story complexity, and story comprehension. Oral narratives were elicited via Multilingual Assessment Instrument for Narratives (LITMUS-MAIN). 198 monolingual children between age 4;6 and 5;11 participated (M=63 months, SD=5 months). The comparison of narrative macrostructure in three age groups (4;6 to 4;11 years, 5;0 to 5;5 years, 5;6 to 5;11 years) illustrate significant age effects in story structure, story complexity and story comprehension skills. There were weak significant positive correlations of some of these skills with aspects of socio-economic status and home literacy environment, for example between story comprehension skills and the educational background, the frequency and duration of the child’s exposure to books and the number of books in the household.
This article investigates the influence of tense and aspect on the choice of verb forms in texts written by Russian-speaking learners of German. Through eight written narrations, each produced by advanced learners of German with L1-Russian and German native speakers, the use of verb forms and relevant linguistic means (perfect markers, temporal adverbs and temporal clauses) was compared and analysed.
The study shows that even very advanced Russian-speaking learners of German could not meet target language preferences in German. They tended to deploy a different temporal perspective than German native speakers (simple past instead of present tense) and they also showed an overuse of the perfect tense, especially when describing completed actions. These differences compared to the preferences of German native speakers can be explained as transfer effects from the L1 of Russian-speaking learners since – unlike in German – the grammatical aspect in Russian is obligatory and its perfective form offers an effective tool to express completeness.
In this paper, data from a current study on bilingual language acquisition and language promotion of children is presented. 96 narratives from 32 Turkish-German and Russian-German bilingual children were examined with regard to the acquisition of narrative ability in three rounds of tests. The macrostructure of each narrative was evaluated based on the theories of Westby (2005), Stein and Glenn (1977) and Gagarina et al. (2012). In the quantitative analysis, the factor age of onset (AoO) was considered and therefore, two hypotheses were introduced: 1) There is an influence of AoO on the narrative ability of L2 German bilingual children. And 2) The narrative ability will converge over time and after three years there will be no difference between the groups. Neither of those hypotheses could be confirmed by the examined narrative data. Hence, other influences on narrative ability were discussed in the last chapter and prospects for further research were given. In sum, the article shows that more narrative data of these children should be collected to make a comprehensive conclusion about the influence of AoO on narrative ability.
Introduction
(2019)
Browsing the web for school: social inequality in adolescents’ school-related use of the internet
(2019)
This article examines whether social inequality exists in European adolescents’ school-related Internet use regarding consuming (browsing) and productive (uploading/sharing) activities. These school-related activities are contrasted with adolescents’ Internet activities for entertainment purposes. Data from the Programme for International Student Assessment (PISA) 2012 is used for the empirical analyses. Results of partial proportional odds models show that students with higher educated parents and more books at home tend to use the Internet more often for school-related tasks than their less privileged counterparts. This pattern is similar for school-related browsing and sharing Internet activities. In contrast to these findings on school-related Internet activities, a negative association between parental education and books at home is found with adolescents’ frequency of using the Internet for entertainment purposes. The implications of digital inequalities for educational inequalities are discussed.
As a flavor and platform chemical, m-cresol (3-methylphenol) is a valuable industrial compound that currently is mainly synthesized by chemical methods from fossil resources. In this study, we present the first biotechnological de novo production of m-cresol from sugar in complex yeast extract-peptone medium with the yeast Saccharomyces cerevisiae. A heterologous pathway based on the decarboxylation of the polyketide 6-methylsalicylic acid (6-MSA) was introduced into a CEN.PK yeast strain. For synthesis of 6-MSA, expression of different variants of 6-MSA synthases (MSASs) were compared. Overexpression of codon-optimized MSAS from Penicillium patulum together with activating phosphopantetheinyl transferase npgA from Aspergillus nidulans resulted in up to 367 mg/L 6-MSA production. Additional genomic integration of the genes had a strongly promoting effect and 6-MSA titers reached more than 2 g/L. Simultaneous expression of 6-MSA decarboxylase patG from A. clavatus led to the complete conversion of 6-MSA and production of up to 589 mg/L m-cresol. As addition of 450–750 mg/L m-cresol to yeast cultures nearly completely inhibited growth our data suggest that the toxicity of m-cresol might be the limiting factor for higher production titers.
Der Fokus unserer Forschung zum Populismus sollte nicht auf dem harten Kern rechter Parteien liegen, sondern auf jenen, die diese Parteien nur aus Protest wählen oder gar nicht mehr wählen. Wir sollten auch nicht den Fehler machen, die Unterstützung rechter Parteien als irrational und postfaktisch darzustellen. Kern unserer Forschung sollten jene ungleichen wirtschaftlichen und sozialen Strukturen sein, die zum Aufstieg rechter Parteien führen.
Deriving stratospheric age of air spectra using an idealized set of chemically active trace gases
(2019)
Analysis of stratospheric transport from an observational point of view is frequently realized by evaluation of the mean age of air values from long-lived trace gases. However, this provides more insight into general transport strength and less into its mechanism. Deriving complete transit time distributions (age spectra) is desirable, but their deduction from direct measurements is difficult. It is so far primarily based on model work. This paper introduces a modified version of an inverse method to infer age spectra from mixing ratios of short-lived trace gases and investigates its basic principle in an idealized model simulation. For a full description of transport seasonality the method includes an imposed seasonal cycle to gain multimodal spectra. An ECHAM/MESSy Atmospheric Chemistry (EMAC) model simulation is utilized for a general proof of concept of the method and features an idealized dataset of 40 radioactive trace gases with different chemical lifetimes as well as 40 chemically inert pulsed trace gases to calculate pulse age spectra. It is assessed whether the modified inverse method in combination with the seasonal cycle can provide matching age spectra when chemistry is well-known. Annual and seasonal mean inverse spectra are compared to pulse spectra including first and second moments as well as the ratio between them to assess the performance on these timescales. Results indicate that the modified inverse age spectra match the annual and seasonal pulse age spectra well on global scale beyond 1.5 years of mean age of air. The imposed seasonal cycle emerges as a reliable tool to include transport seasonality in the age spectra. Below 1.5 years of mean age of air, tropospheric influence intensifies and breaks the assumption of single entry through the tropical tropopause, leading to inaccurate spectra, in particular in the Northern Hemisphere. The imposed seasonal cycle wrongly prescribes seasonal entry in this lower region and does not lead to a better agreement between inverse and pulse age spectra without further improvement. Tests with a focus on future application to observational data imply that subsets of trace gases with 5 to 10 species are sufficient for deriving well-matching age spectra. These subsets can also compensate for an average uncertainty of up to ±20 % in the knowledge of chemical lifetime if a deviation of circa ±10 % in modal age and amplitude of the resulting spectra is tolerated.
Im Beitrag entwickeln wir einen kritischen Blick auf die Geographie der Wahlergebnisse der Alternative für Deutschland (AfD) bei den Bundestagswahlen 2017. Wir hinterfragen Erklärungsmuster, die in einem starren Stadt-Land-Gegensatz verhaftet bleiben und die komplexe Prozesshaftigkeit der Urbanisierung ignorieren. Dagegen gehen wir mit Henri Lefebvre und Theodor W. Adorno vom Urbanen und Ruralen als sozialen Verhältnissen aus, die sich im übergeordneten Prozess der Urbanisierung in dialektischer Weise scheiden sowie räumlich im Spannungsverhältnis von Zentrum und Peripherie materialisieren. Beispielhaft illustrieren wir diesen Prozess in der Diskussion von drei unterschiedlichen Orten, an denen die AfD bei den Bundestagswahlen besonders erfolgreich war: dem Landkreis Vorpommern-Greifswald als Fall einer umfassenden Peripherisierung, dem Quartier Pforzheim-Haidach als peripheres Zentrum und dem Stadtteil Mannheim-Schönau als zentrale Peripherie. Der Beitrag versucht damit eine räumliche Perspektive auf aktuelle Erfolge des Rechtspopulismus zu entwickeln wie auch Stadt-Land-Verhältnisse konzeptionell neu zu erfassen.
We have encountered two polymorphs of the title compound, C24H16B2OS2, both of which display almost the same unit-cell parameters. Compound (I) crystallizes in the non-centrosymmetric space group P21 with four molecules in the asymmetric unit. These molecules are related by pseudosymmetry. As a result, the space group looks like P21/c, but the structure cannot be refined successfully in that space group. Compound (II) on the other hand crystallizes in the centrosymmetric space group P21/c with only two molecules in the asymmetric unit. The crystals studied for (I) and (II) were both non-merohedral twins.
Understanding new particle formation and growth is important because of the strong impact of these processes on climate and air quality. Measurements to elucidate the main new particle formation mechanisms are essential; however, these mechanisms have to be implemented in models to estimate their impact on the regional and global scale. Parameterizations are computationally cheap ways of implementing nucleation schemes in models but they have their limitations, as they do not necessarily include all relevant parameters. Process models using sophisticated nucleation schemes can be useful for the generation of look-up tables in large scale models or for the analysis of individual new particle formation events. In addition, some other important properties can be derived from a process model that implicitly calculates the evolution of the full aerosol size distribution, e.g., the particle growth rates. Within this study, a model (SANTIAGO, Sulfuric acid Ammonia NucleaTIon And GrOwth model) is constructed that simulates new particle formation starting from the monomer of sulfuric acid up to a particle size of several hundred nanometers. The smallest sulfuric acid clusters containing one to four acid molecules and varying amount of base (ammonia) are allowed to evaporate in the model, whereas growth beyond the pentamer (5 sulfuric acid molecules) is assumed to be entirely collision-controlled. The main goal of the present study is to derive appropriate thermodynamic data needed to calculate the cluster evaporation rates as a function of temperature. These data are derived numerically from CLOUD (Cosmics Leaving OUtdoor Droplets) chamber new particle formation rates for neutral sulfuric acid-water-ammonia nucleation at temperatures between 208 K and 292 K. The numeric methods include an optimization scheme to derive the best estimates for the thermodynamic data (dH and dS) and a Monte Carlo method to derive their probability density functions. The derived data are compared to literature values. Using different data sets for dH and dS in SANTIAGO detailed comparison between model results and measured CLOUD new particle formation rates is discussed.
Understanding new particle formation and growth is important because of the strong impact of these processes on climate and air quality. Measurements to elucidate the main new particle formation mechanisms are essential; however, these mechanisms have to be implemented in models to estimate their impact on the regional and global scale. Parameterizations are computationally cheap ways of implementing nucleation schemes in models, but they have their limitations, as they do not necessarily include all relevant parameters. Process models using sophisticated nucleation schemes can be useful for the generation of look-up tables in large-scale models or for the analysis of individual new particle formation events. In addition, some other important properties can be derived from a process model that implicitly calculates the evolution of the full aerosol size distribution, e.g., the particle growth rates. Within this study, a model (SANTIAGO – Sulfuric acid Ammonia NucleaTIon And GrOwth model) is constructed that simulates new particle formation starting from the monomer of sulfuric acid up to a particle size of several hundred nanometers. The smallest sulfuric acid clusters containing one to four acid molecules and a varying amount of base (ammonia) are allowed to evaporate in the model, whereas growth beyond the pentamer (five sulfuric acid molecules) is assumed to be entirely collision-controlled. The main goal of the present study is to derive appropriate thermodynamic data needed to calculate the cluster evaporation rates as a function of temperature. These data are derived numerically from CLOUD (Cosmics Leaving OUtdoor Droplets) chamber new particle formation rates for neutral sulfuric acid–water–ammonia nucleation at temperatures between 208 and 292 K. The numeric methods include an optimization scheme to derive the best estimates for the thermodynamic data (dH and dS) and a Monte Carlo method to derive their probability density functions. The derived data are compared to literature values. Using different data sets for dH and dS in SANTIAGO detailed comparison between model results and measured CLOUD new particle formation rates is discussed.
Within the world’s oceans, regionally distinct ecological niches develop due to differences in water temperature, nutrients, food availability, predation and light intensity. This results in differences in the vertical dispersion of planktonic foraminifera on the global scale. Understanding the controls on these modern-day distributions is important when using these organisms for paleoceanographic reconstructions. As such, this study constrains modern depth habitats for the northern equatorial Indian Ocean, for 14 planktonic foraminiferal species (G. ruber, G. elongatus, G. pyramidalis, G. rubescens, T. sacculifer, G. siphonifera, G. glutinata, N. dutertrei, G. bulloides, G. ungulata, P. obliquiloculata, G. menardii, G. hexagonus, G. scitula) using stable isotopic signatures (δ18O and δ13C) and Mg/Ca ratios. We evaluate two aspects of inferred depth habitats: (1) the significance of the apparent calcification depth (ACD) calculation method/equations and (2) regional species-specific ACD controls. Through a comparison with five global, (sub)tropical studies we found the choice of applied equation and δ18Osw significant and an important consideration when comparing with the published literature. The ACDs of the surface mixed layer and thermocline species show a tight clustering between 73–109 m water depth coinciding with the deep chlorophyll maximum (DCM). Furthermore, the ACDs for the sub-thermocline species are positioned relative to secondary peaks in the local primary production. We surmise that food source plays a key role in the relative living depths for the majority of the investigated planktonic foraminifera within this oligotrophic environment of the Maldives and elsewhere in the tropical oceans.
Bereits im Erdgeschoss der Sophie-Gips-Höfe, einer ehemaligen Fabrikanlage für Nähmaschinen und Fahrradketten, die heute die Sammlung Hoffmann beherbergt, begegnet einem eine große, rostige, konvexe Stahlplatte von Richard Serra. Wie so oft bei Serra beeindrucken die Materialeigenschaften: die Oberfläche, das Gewicht und die Stabilität dieser Metallscheibe. Mit zwei weiteren Skulpturen zusammen begrüßen die Werke als Ensemble die Kunstinteressierten. Im 3. Stock angekommen, ist der Eintretende bei schlechtem Wetter zum Schutze des Parketts aufgefordert, Filzpantoffeln anzuziehen und darf erst dann durch die repräsentativen Räume schlurfen. Bis die Besuchergruppe vollständig ist, wartet man in dem ersten Raum der bereits bis zur Decke voll mit Kunst von Joëlle Tuerlinckx ist. ...
uORF-tools—workflow for the determination of translation-regulatory upstream open reading frames
(2019)
Ribosome profiling (ribo-seq) provides a means to analyze active translation by determining ribosome occupancy in a transcriptome-wide manner. The vast majority of ribosome protected fragments (RPFs) resides within the protein-coding sequence of mRNAs. However, commonly reads are also found within the transcript leader sequence (TLS) (aka 5’ untranslated region) preceding the main open reading frame (ORF), indicating the translation of regulatory upstream ORFs (uORFs). Here, we present a workflow for the identification of translation-regulatory uORFs. Specifically, uORF-Tools uses Ribo-TISH to identify uORFs within a given dataset and generates a uORF annotation file. In addition, a comprehensive human uORF annotation file, based on 35 ribo-seq files, is provided, which can serve as an alternative input file for the workflow. To assess the translation-regulatory activity of the uORFs, stimulus-induced changes in the ratio of the RPFs residing in the main ORFs relative to those found in the associated uORFs are determined. The resulting output file allows for the easy identification of candidate uORFs, which have translation-inhibitory effects on their associated main ORFs. uORF-Tools is available as a free and open Snakemake workflow at https://github.com/Biochemistry1-FFM/uORF-Tools. It is easily installed and all necessary tools are provided in a version-controlled manner, which also ensures lasting usability. uORF-Tools is designed for intuitive use and requires only limited computing times and resources.