The complexity of second language reading: Investigating the L1-L2 relationship

This article contributes to the field of reading assessment in English as a second language (L2). Few reading studies have been carried out at the upper secondary school level, and the present study provides insight into upper secondary school students’ L2 reading proficiency. It examines whether such proficiency can be explained by reading proficiency in Norwegian as their first language (L1). The analysis uses data from two national reading tests, comprising a large sample of 16-year-old students (N=10,331), and it is the first time reading across these languages has been investigated at this level. The results show a significant and meaningful relationship between students’ reading proficiency in the two languages. The results also reveal marked reading differences in reading proficiency in the two languages among poor readers

Les évaluations internationales et la recherche en éducation : principaux objectifs et perspectives

Cet article propose une vue structurée de l’ensemble des perspectives de recherches primaires et secondaires en lien avec les études internationales de grande ampleur (PISA et TIMSS). Le but de ces études est tout d’abord examiné avant de décrire de quelle manière leur objectif principal a peu à peu évolué de la recherche en éducation à la constitution de ressources d’indicateurs pédagogiques de contrôle et de développement des politiques nationales. Cette évolution a largement ouvert la voie à d’abondantes possibilités d’analyses secondaires des données en vue de leur diffusion au public. Dans sa majeure partie l’article est dédié à une description des perspectives variées d’analyses secondaires pertinentes et pour chacune de ces perspectives, un certain nombre d’études secondaires est brièvement présenté et des prolongements de recherche proposés. Notre intention est de démontrer le fort potentiel de recherches complémentaires contenu dans ces bases de données internationales.The present article presents a systematic overview of primary and secondary research perspectives related to the large-scale international studies like PISA (Programme for International Student Assessment) and TIMSS (Trends in International Mathematics and Science Study). Firstly, the primary purpose for these studies is discussed, and it is described how the main purpose have gradually been changed from educational research to a means for providing educational indicators for control and effective national policy development. This change has largely left the area open for rich possibilities for a variety of secondary analyses of the data, which has been released for public use. The main part of the article goes on to describe various perspectives for relevant secondary analyses. For each of these perspectives a number of secondary studies are briefly discussed, and further research is suggested. Our main aim is to demonstrate the rich potential for further research based on the international database for these studies. There are certainly a variety of research questions, both at national and international level, waiting to be effectively addressed by these freely available data.Este artículo propone una vista estructurada del conjunto de las perspectivas de investigaciones primarias y secundarias en relación con estudios internacionales de gran amplitud (PISA et TIMSS). Se examina primero el objetivo de estos estudios antes de describir de qué manera su objetivo principal ha ido evolucionando poco a poco de la investigación en educación a la constitución de recursos de indicadores pedagógicos de control y de desarrollo de las políticas nacionales. Esta evolución ha dado paso a abundantes posibilidades de análisis secundarios de los datos con vistas de su difusión al público. En su mayor parte, el artículo se dedica a una descripción de las perspectivas variadas de análisis secundarios pertinentes y para cada una de estas perspectivas, se presenta brevemente cierto número de estudios secundarios y se proponen prolongamientos de investigación. Nuestra intención es demostrar el fuerte potencial de investigaciones complementarias contenido en esas bases de datos internacionales.Dieser Artikel bietet einen strukturierten Überblick über die gesamten Perspektiven in der Primär- und Sekundärforschungen in Bezug auf die breiten internationalen vergleichenden Analysen (PISA und TIMSS). Das Ziel dieser Studien wird vorerst untersucht, dann beschreiben wir die Art und Weise, wie ihr Hauptanliegen sich nach und nach von der Forschung in der Erziehung bis zum Zusammenbau von Ressourcen über pädagogische Indikatoren zur Kontrolle und Entwicklung der nationalen Erziehungspolitik entwickelt hat. Dieser Werdegang hat den Weg geöffnet für zahlreiche Möglichkeiten der Sekundäranalysen im Hinblick auf ihre öffentliche Verbreitung. Der Artikel nimmt sich hauptsächlich eine Beschreibung der verschiedenen Perspektiven für relevante Sekundäranalysen vor. Und für jede Perspektive wird eine gewisse Zahl Sekundäranalysen kurz vorgestellt und weiterführende Forschungsansätze werden angeboten. Unsere Absicht besteht darin, das starke Potential an Zusatzforschungen zu zeigen, das in diesen internationalen Datenbanken steckt

Earlier sea-ice melt extends the oligotrophic summer period in the Barents Sea with low algal biomass and associated low vertical flux

The decrease in Arctic sea-ice extent and thickness as a result of global warming will impact the timing, duration, magnitude and composition of phytoplankton production with cascading effects on Arctic marine food-webs and biogeochemical cycles. Here, we elucidate the environmental drivers shaping the composition, abundance, biomass, trophic state and vertical flux of protists (unicellular eukaryotes), including phytoplankton, in the Barents Sea in late August 2018 and 2019. The two years were characterized by contrasting sea-ice conditions. In August 2018, the sea-ice edge had retreated well beyond the shelf break into the Nansen Basin (>82°N), while in 2019, extensive areas of the northwestern Barents Sea shelf (>79°N) were still ice-covered. These contrasting sea-ice conditions resulted in marked interannual differences in the pelagic protist community structure in this area. In August 2018, the protist community was in a post-bloom stage of seasonal succession characterized by oligotrophic surface waters and dominance of small-sized phytoplankton and heterotrophic protists (predominantly flagellates and ciliates) at most stations. In 2019, a higher contribution of autotrophs and large-celled phytoplankton, particularly diatoms, to total protist biomass compared to 2018 was reflected in higher chlorophyll a concentrations and suggested that the protist community was still in a late bloom stage at some stations. It is noteworthy that particularly diatoms contributed a considerably higher proportion to the protist biomass at the ice-covered stations in both years compared to the open-water stations. This pattern was also evident in the higher vertical protist biomass flux in 2019, dominated by dinoflagellates and diatoms, compared to 2018. Our results suggest that the predicted transition toward an ice-free Barents Sea will lengthen the oligotrophic summer period with low algal biomass and associated low vertical flux.publishedVersio

Rasch analysis of the Psychiatric Out-Patient Experiences Questionnaire (POPEQ)

<p>Abstract</p> <p>Background</p> <p>The Psychiatric Out-Patient Experiences Questionnaire (POPEQ) is an 11-item core measure of psychiatric out-patients experiences of the perceived outcome of the treatment, the quality of interaction with the clinician, and the quality of information provision. The POPEQ was found to have evidence for reliability and validity following the application of classical test theory but has not previously been assessed by Rasch analysis.</p> <p>Methods</p> <p>Two national postal surveys of psychiatric outpatients took place in Norway in 2004 and 2007. The performance of the POPEQ, including item functioning and differential item functioning, was assessed by Rasch analysis. Principal component analysis of item residuals was used to assess the presence of subdimensions.</p> <p>Results</p> <p>6,677 (43.3%) and 11,085 (35.2%) psychiatric out patients responded to the questionnaire in 2004 and 2007, respectively. All items in the scale were retained after the Rasch analysis. The resulting scale had reasonably good fit to the Rasch model. The items performed the same for the two survey years and there was no differential item functioning relating to patient characteristics. Principal component analysis of the residuals confirmed that the measure to a high degree is unidimensional. However, the data also reflects three potential subscales, each relating to one of the three included aspects of health care.</p> <p>Conclusions</p> <p>The POPEQ had excellent psychometric properties and Rasch analysis further supported the construct validity of the scale by also identifying the three subdimensions originally included as components in the instrument development. The 11-item instrument is recommended in future research on psychiatric out-patient experiences. Future development may lead to the construction of more precise measures of the three subdomains that the POPEQ is based on.</p

GPAW: open Python package for electronic-structure calculations

We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density functional theory (DFT) equations using three different wave-function representations, namely real-space grids, plane waves, and numerical atomic orbitals. The three representations are complementary and mutually independent and can be connected by transformations via the real-space grid. This multi-basis feature renders GPAW highly versatile and unique among similar codes. By virtue of its modular structure, the GPAW code constitutes an ideal platform for implementation of new features and methodologies. Moreover, it is well integrated with the Atomic Simulation Environment (ASE) providing a flexible and dynamic user interface. In addition to ground-state DFT calculations, GPAW supports many-body GW band structures, optical excitations from the Bethe-Salpeter Equation (BSE), variational calculations of excited states in molecules and solids via direct optimization, and real-time propagation of the Kohn-Sham equations within time-dependent DFT. A range of more advanced methods to describe magnetic excitations and non-collinear magnetism in solids are also now available. In addition, GPAW can calculate non-linear optical tensors of solids, charged crystal point defects, and much more. Recently, support of GPU acceleration has been achieved with minor modifications of the GPAW code thanks to the CuPy library. We end the review with an outlook describing some future plans for GPAW

The genome of the seagrass Zostera marina reveals angiosperm adaptation to the sea

Seagrasses colonized the sea(1) on at least three independent occasions to form the basis of one of the most productive and widespread coastal ecosystems on the planet(2). Here we report the genome of Zostera marina (L.), the first, to our knowledge, marine angiosperm to be fully sequenced. This reveals unique insights into the genomic losses and gains involved in achieving the structural and physiological adaptations required for its marine lifestyle, arguably the most severe habitat shift ever accomplished by flowering plants. Key angiosperm innovations that were lost include the entire repertoire of stomatal genes(3), genes involved in the synthesis of terpenoids and ethylene signalling, and genes for ultraviolet protection and phytochromes for far-red sensing. Seagrasses have also regained functions enabling them to adjust to full salinity. Their cell walls contain all of the polysaccharides typical of land plants, but also contain polyanionic, low-methylated pectins and sulfated galactans, a feature shared with the cell walls of all macroalgae(4) and that is important for ion homoeostasis, nutrient uptake and O-2/CO2 exchange through leaf epidermal cells. The Z. marina genome resource will markedly advance a wide range of functional ecological studies from adaptation of marine ecosystems under climate warming(5,6), to unravelling the mechanisms of osmoregulation under high salinities that may further inform our understanding of the evolution of salt tolerance in crop plants(7)

52 Genetic Loci Influencing Myocardial Mass.

BACKGROUND: Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death. OBJECTIVES: This meta-analysis sought to gain insights into the genetic determinants of myocardial mass. METHODS: We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment. RESULTS: We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p < 1 × 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67 candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in vitro and in vivo. CONCLUSIONS: Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Copy number variants (CNVs) have been strongly implicated in the genetic etiology of schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. A global enrichment of CNV burden was observed in cases (OR=1.11, P=5.7×10−15), which persisted after excluding loci implicated in previous studies (OR=1.07, P=1.7 ×10−6). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 ×10−11) and neurobehavioral phenotypes in mouse (OR = 1.18, P= 7.3 ×10−5). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by non-allelic homologous recombination

No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study

It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest