1,314 research outputs found

    Le Brachypode rupestre (Brachypodium rupestre) en Hesse

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    Aus Hessen war Brachypodium rupestre bisher nur von einem Fundort veröffentlicht. Durch gezielte Suche und einen Zufallsfund kamen in den letzten Jahren fünf weitere hinzu. Die Wuchsorte sind anthropogene Böschungen von Straßen und Hochwasserrückhaltebecken, nur in einem Fall wachsen die Pflanzen auf einem naturnahen Standort in einer extensiv bewirtschafteten Stromtalwiese. Die Vorkommen gehen wahrscheinlich alle auf Ansaat zurück, entweder auf direkte Ansaat am Wuchsort oder ausgehend von den Primärpopulationen auf Verdriftung der Diasporen mit Hochwässern. Die Art ist in Hessen als eingebürgerter Neophyt einzustufen.Until recently, Brachypodium rupestre was recorded as occurring in Hesse in only a single location. Recent field work and a chance finding have revealed a further five locations where this species occurs. These sites are located on anthropogenic embankments of roads and floodwater retention basins, apart from at one site where the plants grow under semi-natural conditions in an extensively cultivated riparian meadow. All populations probably became established as a result of sowing, either directly or as a result of diaspore drift from primary populations during flooding. In Hesse, B. rupestre has the status of an established neophyte.Le Brachypodium rupestre n’était connu en Hesse dans les publications que dans une seule station. Par des recherches ciblées et par une trouvaille fortuite cinq autres s’y sont ajoutées ces dernières années. Les habitats sont des talus anthropogènes le long des routes et en bordure de bassins de retenue des eaux de crue ; une exception cependant: des spécimens poussent sur un terrain semi-naturel dans une prairie de fauche extensive. Les populations proviennent sans doute d’ensemencement, soit directement sur la station soit en artant de la population primaire par les diaspores à la dérive lors des crues. L’espèce est à classer en Hesse comme néophyte établi

    A Randomized Controlled Clinical Trial of Dialogical Exposure Therapy versus Cognitive Processing Therapy for Adult Outpatients Suffering from PTSD after Type I Trauma in Adulthood

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    Background: Although there are effective treatments for posttraumatic stress disorder (PTSD), there is little research on treatments with non-cognitive-behavioural backgrounds, such as gestalt therapy. We tested an integrative gestalt-derived intervention, dialogical exposure therapy (DET), against an established cognitive-behavioural treatment (cognitive processing therapy, CPT) for possible differential effects in terms of symptomatic outcome and drop-out rates. Methods: We randomized 141 treatment-seeking individuals with a diagnosis of PTSD to receive either DET or CPT. Therapy length in both treatments was flexible with a maximum duration of 24 sessions. Results: Dropout rates were 12.2% in DET and 14.9% in CPT. Patients in both conditions achieved significant and large reductions in PTSD symptoms (Impact of Event Scale - Revised;Hedges' g = 1.14 for DET and d = 1.57 for CPT) which were largely stable at the 6-month follow-up. At the posttreatment assessment, CPT performed statistically better than DET on symptom and cognition measures. For several outcome measures, younger patients profited better from CPT than older ones, while there was no age effect for DET. Conclusions: Our results indicate that DET merits further research and may be an alternative to established treatments for PTSD. It remains to be seen whether DET confers advantages in areas of functioning beyond PTSD symptoms. (c) 2015 S. Karger AG, Base

    HOAPS and ERA-Interim precipitation over sea: Validation against shipboard in-situ measurements

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    The satellite-derived HOAPS (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data) and ECMWF (European Centre for Medium-Range Weather Forecasts) ERA-Interim reanalysis data sets have been validated against in situ precipitation measurements from ship rain gauges and optical disdrometers over the open ocean by applying a statistical analysis for binary estimates. For this purpose collocated pairs of data were merged within a certain temporal and spatial threshold into single events, according to the satellites' overpass, the observation and the ERA-Interim times. HOAPS detects the frequency of precipitation well, while ERA-Interim strongly overestimates it, especially in the tropics and subtropics. Although precipitation rates are difficult to compare because along-track point measurements are collocated with areal estimates and the number of available data are limited, we find that HOAPS underestimates precipitation rates, while ERA-Interim's Atlantic-wide average precipitation rate is close to measurements. However, when regionally averaged over latitudinal belts, deviations between the observed mean precipitation rates and ERA-Interim exist. The most obvious ERA-Interim feature is an overestimation of precipitation in the area of the intertropical convergence zone and the southern subtropics over the Atlantic Ocean. For a limited number of snow measurements by optical disdrometers, it can be concluded that both HOAPS and ERA-Interim are suitable for detecting the occurrence of solid precipitation

    Consistent economic cross-sectoral climate change impact scenario analysis: Method and application to Austria

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    AbstractClimate change triggers manifold impacts at the national to local level, which in turn have various economy-wide implications (e.g. on welfare, employment, or tax revenues). In its response, society needs to prioritize which of these impacts to address and what share of resources to spend on each respective adaptation. A prerequisite to achieving that end is an economic impact analysis that is consistent across sectors and acknowledges intersectoral and economy-wide feedback effects. Traditional Integrated Assessment Models (IAMs) are usually operating at a level too aggregated for this end, while bottom-up impact models most often are not fully comprehensive, focusing on only a subset of climate sensitive sectors and/or a subset of climate change impact chains. Thus, we develop here an approach which applies climate and socioeconomic scenario analysis, harmonized economic costing, and sector explicit bandwidth analysis in a coupled framework of eleven (bio)physical impact assessment models and a uniform multi-sectoral computable general equilibrium model. In applying this approach to the alpine country of Austria, we find that macroeconomic feedbacks can magnify sectoral climate damages up to fourfold, or that by mid-century costs of climate change clearly outweigh benefits, with net costs rising two- to fourfold above current damage cost levels. The resulting specific impact information – differentiated by climate and economic drivers – can support sector-specific adaptation as well as adaptive capacity building

    Energy Harvesting: Synthetic Use of Recovered Energy in Electrochemical Late-Stage Functionalization

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    An induction-based energy harvesting (EH) device was presented. It converted part of the rotational energy of magnetic stirrers back into electrical energy, making it accessible for electrochemical transformations. After rectification, the induced AC voltage was optionally provided as a constant voltage or constant current whereby the available voltage could directly be adjusted by the stirring rate of the reaction. The comparability of the results with reactions carried out with commercial power supplies has been demonstrated on six different late-stage functionalization, including methylation, carboxylation, trifluoromethylation, imidation, hydrolysis, and keto-olefin coupling. Therefore, the described EH device is a low-cost, resource-efficient alternative to a commercial electrochemical set-up and enables laboratories without specialized equipment to perform electrochemical reactions

    GOPET: A tool for automated predictions of Gene Ontology terms

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    BACKGROUND: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for their predictions. DESCRIPTION: We recently established a learning system for automated annotation, trained with a broad variety of different organisms to predict the standardised annotation terms from Gene Ontology (GO). Now, this method has been made available to the public via our web-service GOPET (Gene Ontology term Prediction and Evaluation Tool). It supplies annotation for sequences of any organism. For each predicted term an appropriate confidence value is provided. The basic method had been developed for predicting molecular function GO-terms. It is now expanded to predict biological process terms. This web service is available via CONCLUSION: Our web service gives experimental researchers as well as the bioinformatics community a valuable sequence annotation device. Additionally, GOPET also provides less significant annotation data which may serve as an extended discovery platform for the user

    How Certain is Good Enough? Managing Data Quality and Uncertainty in Ordinal Citizen Science Data Sets for Evidence-Based Policies on Fresh Water

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    This study investigates surface water quality in Luxembourg with the help of citizen scientists. The fundamental question explored relates to uncertainty and judgements on what constitutes adequate data sets, comparing official data and citizen science. The case study evaluates how gaps and uncertainties in official data for the United Nations Sustainable Development Goal 6 (UN SDG 6), Indicator 6.3.2 on water quality, and the EU Water Framework Directive (WFD), can be served with citizen science. In two Water Blitz sampling events organised in collaboration with the NGO Earthwatch, participants sampled water bodies at locations of their choice, using field kits to estimate nitrate (NO3--N) and phosphate (PO43–-P) concentrations. Samples were collected (428 in total) over two weekend events, providing snapshots in time with a good geographic coverage of the water bodies across the country: 35% of nitrate and 29% of phosphate values were found to exceed thresholds used by the European Environment Agency to classify the nutrient content in water as good. Our study puts forward recommendations on how citizen science data can complement official monitoring by national agencies with a focus on how such data can be represented to serve the understanding and discussion of uncertainties associated with such ordinal data sets. The main challenge addressed is high levels of natural variation in nutrient levels with both natural and anthropogenic multi-factorial causes. In discussing the merits and limitations of citizen science data sets, the results of this study demonstrate that a particular strength of citizen science is the identification of pollution hotspots in small water bodies, which despite being critical for ecosystem wellbeing are often overlooked in official monitoring. In addition, citizen science increases public awareness and experiential learning about factors affecting surface water quality and policies concerning it

    Entropically-driven binding of mithramycin in the minor groove of C/G-rich DNA sequences

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    Final full-text version available at: http://dx.doi.org/10.1093/nar/gkm037.-- Supplementary Data is available.The antitumour antibiotic mithramycin A (MTA) is a DNA minor-groove binding ligand. It binds to C/G-rich tracts as a dimer that forms in the presence of divalent cations such as Mg2+. Differential scanning calorimetry, UV thermal denaturation, isothermal titration calorimetry and competition dialysis were used, together with computations of the hydrophobic free energy of binding, to determine the thermodynamic profile of MTA binding to DNA. The results were compared to those obtained in parallel using the structurally related mithramycin SK (MSK). The binding of MTA to salmon testes DNA determined by UV melting studies (Kobs = 1.2 (±0.3) x 10^5 M–1) is tighter than that of MSK (2.9 (±1.0) x 10^4 M–1) at 25°C. Competition dialysis studies showed a tighter MTA binding to both salmon testes DNA (42% C + G) and Micrococcus lysodeikticus DNA (72% C + G). The thermodynamic analysis of binding data at 25°C shows that the binding of MTA and MSK to DNA is entropically driven, dominated by the hydrophobic transfer of the antibiotics from solution to the DNA-binding site. Direct molecular recognition between MTA or MSK and DNA through hydrogen bonding and van der Waals contacts may also contribute significantly to complex formation.Supported by a grant from the Spanish Ministry of Education and Science (SAF2005-00551) and the FEDER program of the European Community. This work was carried out within the framework of the Centre de Referencia en Biotecnologia of the Generalitat de Catalunya. Funding to pay the Open Access publication charge was provided by the Ministry of Education and Science and CSIC (Spain).Peer reviewe
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