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Investigators in the cognitive neurosciences have turned to Big Data to address persistent replication and reliability issues by increasing sample sizes, statistical power, and representativeness of data. While there is tremendous potential to advance science through open data sharing, these efforts unveil a host of new questions about how to integrate data arising from distinct sources and instruments. We focus on the most frequently assessed area of cognition - memory testing - and demonstrate a process for reliable data harmonization across three common measures. We aggregated raw data from 53 studies from around the world which measured at least one of three distinct verbal learning tasks, totaling N = 10,505 healthy and brain-injured individuals. A mega analysis was conducted using empirical bayes harmonization to isolate and remove site effects, followed by linear models which adjusted for common covariates. After corrections, a continuous item response theory (IRT) model estimated each individual subject’s latent verbal learning ability while accounting for item difficulties. Harmonization significantly reduced inter-site variance by 37% while preserving covariate effects. The effects of age, sex, and education on scores were found to be highly consistent across memory tests. IRT methods for equating scores across AVLTs agreed with held-out data of dually-administered tests, and these tools are made available for free online. This work demonstrates that large-scale data sharing and harmonization initiatives can offer opportunities to address reproducibility and integration challenges across the behavioral sciences.
Erkenntnisse über das Wirt-Parasit-Verhältnis zwischen Hopfen Humulus lupulus L. und Hopfenblattlaus Phorodon humuli (Schrank) sind von entscheidender Bedeutung für die Selektion blattlausresistenter Sorten. Die Besiedelung des Wirts durch Blattläuse wird durch in den Pflanzen befindliche Substanzen erheblich beeinflusst (Nault & Styer 1972; Leath & al. 1974; Klingauf & al. 1978; Kendall & al. 1980; Singh 1980; Powell & al. 1999; Campo & al. 2003). Die in dieser Hinsicht wichtigsten Bestandteile des Hopfens sind die Bittersäuren, welche für den Parasit die Funktion von Signalstoffen haben können. In frischem Hopfen liegen sie überwiegend in Form der alpha-Bittersäuren (Humulon, co-Humulon, ad-Humulon) und der beta-Bittersäuren (Lupulon, co-Lupulon, ad-Lupulon) vor (Backleh 2001). Die Gehalte an Bitterstoffen im Pflanzengewebe des Hopfens schwanken stark im Lauf der Vegetationsperiode. Da ein Insekt sich an quantitative wie auch qualitative Unterschiede im Nährstoffangebot anzupassen vermag, sollten sich Änderungen im Wirtswahlverhalten bei der Nahrungsaufnahme von Blattläusen durch die saisonbedingten Stoffwechselschwankungen der Pflanzen ergeben. Um diese Veränderungen im Verhalten der Aphiden zu erfassen, war es notwendig, die Verhaltensbeobachtungen im Verlauf der Vegetationsperiode mehrfach zu wiederholen. Die Methode der Wahl zur Untersuchung quantitativer Unterschiede im Verhalten bei der Nahrungsaufnahme von Aphiden ist der Electrical Penetration Graph (EPG) (McLean & Kinsey 1964; Spiller 1988; Prado & Tjallingii 1994; Calatayud & al. 2001; 1978, 1988, 2006). In der vorliegenden Studie wurde diese Methode mit gleichzeitigen HPLC - Analysen der Bittersäurezusammensetzung des Gewebes relevanter Organe (Blätter und Zapfen) von Hopfen im Verlauf der Vegetationsperiode kombiniert.
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
We report on a polarization measurement of inclusive J/ψ mesons in the di-electron decay channel at mid-rapidity at 2 < pT < 6 GeV/c in p + p collisions at √s = 200 GeV. Data were taken with the STAR detector at RHIC. The J/ψ polarization measurement should help to distinguish between different models of the J/ψ production mechanism since they predict different pT dependences of the J/ψ polarization. In this analysis, J/ψ polarization is studied in the helicity frame. The polarization parameter λθ measured at RHIC becomes smaller towards high pT , indicating more longitudinal J/ψ polarization as pT increases. The result is compared with predictions of presently available models.
DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10−7; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3–82%) of the aggression–methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.