Erstellung der Adjektivliste für eine englische Version des Big Five Plus One

Analog zu dem Persönlichkeitsverfahren Big Five Plus One (Kurz: B5PO; Holocher-Ertl, Kubinger & Menghin, 2003) und dessen Grundlage, die Diplomarbeit von Holocher-Ertl (2003), wurde eine Adjektivliste in englischer Sprache erstellt. Zunächst wurden dafür über 400 Adjektivpaare mit einem Fragebogen erhoben, der auf dem Repertory-Grid von Kelly (1955) beruht, . Nach einer Auswahl, unter anderem durch englische Muttersprachler, entstand eine Liste von 67 Adjektivpaaren, die besonders geeignet erschienen, Personen adäquat zu beschreiben und damit potentielle Items für den B5PO-English waren. Diese wurden schließlich in einem eigens dafür programmierten Online-Verfahren englischsprachigen Personen vorgegeben. Die Teilnehmer sollten sich, wie bei der Ursprungsversion des B5PO mittels einer Analogskala, einem der beiden Adjektive zuordnen und damit eine Selbsteinschätzung ihrer Person vornehmen. Insgesamt wurden 208 Teilnehmer mit gültige Datensätze erhoben, wobei nur Personen im Altersbereich von 16 bis 35 Jahren berücksichtigt wurden. Bei der statistischen Auswertung der Ergebnisse (Faktorenanalyse und Rasch-Modell Analysen) stellte sich heraus, dass die Adjektivpaare letztendlich in die folgenden sechs Dimensionen eingeteilt werden konnten: Agreeableness, Emotional Stability, Extraversion, Conscientiousness, Openness und Empathy, womit die Dimensionen von Holocher-Ertl (2003) auch für die englische Version des B5PO bestätigt wurden. Darüber hinaus sind die sechs Dimensionen der Adjektivliste ebenfalls Rasch-Modell-konform. Die neue endgültige Itemliste für den B5PO-English umfasst 61 bipolare Items, die Persönlichkeitseigenschaften eindimensional erheben.Based on the personality inventory Big Five Plus One (B5PO) (Holocher-Ertl, Kubinger & Menghin, 2003) and the diploma thesis of Holocher-Ertl (2003) a new list of English adjectives was created. At first a questionnaire, based on Kelly’s Repertory-Grid (1955), ascertained more than 400 pairs of adjectives. Pairs, describing people adequately, were selected by native English speakers, resulting in a list of 67 pairs of adjectives, which are possibly new items of the B5PO-English. These pairs of adjectives were presented to English speakers in an online-survey. Like in the original version of the B5PO, participants had to choose one of the two adjectives, which they thought would describe themselves, using an analog scale. A total sample of 208 participants with valid data sets was collected, including persons aged between 16 and 35 years. The results of the statistical analysis (factor analysis and Rasch model analysis) showed that the adjectives revealed the six dimensions: Agreeableness, Emotional Stability, Extraversion, Conscientious, Openness and Empathy. These results approve the dimensions Holocher-Ertl has assumed in her thesis, also for the English version of the B5PO. Furthermore each of the six dimensions also conforms to the Rasch model. The final list of items for the B5PO-English contains 61 bipolar items, which survey personality traits unidimensionally

Epidemiology of uveal melanomas in Germany

Peer Reviewe

A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland

Despite advanced seismological techniques, automatic source characterization for microseismic earthquakes remains difficult and challenging since current inversion and modelling of high-frequency signals are complex and time consuming. For real-time applications such as induced seismicity monitoring, the application of standard methods is often not fast enough for true complete real-time information on seismic sources. In this paper, we present an alternative approach based on recent advances in deep learning for rapid source-parameter estimation of microseismic earthquakes. The seismic inversion is represented in compact form by two convolutional neural networks, with individual feature extraction, and a fully connected neural network, for feature aggregation, to simultaneously obtain full moment tensor and spatial location of microseismic sources. Specifically, a multibranch neural network algorithm is trained to encapsulate the information about the relationship between seismic waveforms and underlying point-source mechanisms and locations. The learning-based model allows rapid inversion (within a fraction of second) once input data are available. A key advantage of the algorithm is that it can be trained using synthetic seismic data only, so it is directly applicable to scenarios where there are insufficient real data for training. Moreover, we find that the method is robust with respect to perturbations such as observational noise and data incompleteness (missing stations). We apply the new approach on synthesized and example recorded small magnitude (M <= 1.6) earthquakes at the Hellisheioi geothermal field in the Hengill area, Iceland. For the examined events, the model achieves excellent performance and shows very good agreement with the inverted solutions determined through standard methodology. In this study, we seek to demonstrate that this approach is viable for microseismicity real-time estimation of source parameters and can be integrated into advanced decision-support tools for controlling induced seismicity

Preparation and physical properties of highly conducting metal (M = Ni, Co, Cu) coordination polymers

Coordination polymers of nickel, cobalt and copper with the linking polydentate ligands tetrathiafulvalenetetrathiolate, benzene-1,2,4,5-tetrathiolate and phthalocyaninate have been prepared. The environmentally very stable materials have dc conductivities ranging between 10-2 S·cm-1 for the polyphthalocyaninato derivatives and 10² S·cm-1 for the tetrathiafulvalenetetrathiolates. The temperature dependence of the dc conductivity of the latter compounds is remarkably low

Induced seismicity risk analysis of the hydraulic stimulation of a geothermal well on Geldinganes, Iceland

The rapid increase in energy demand in the city of Reykjavik has posed the need for an additional supply of deep geothermal energy. The deep-hydraulic (re-)stimulation of well RV-43 on the peninsula of Geldinganes (north of Reykjavik) is an essential component of the plan implemented by Reykjavik Energy to meet this energy target. Hydraulic stimulation is often associated with fluid-induced seismicity, most of which is not felt on the surface but which, in rare cases, can be a nuisance to the population and even damage the nearby building stock. This study presents a first-of-its-kind pre-drilling probabilistic induced seismic hazard and risk analysis for the site of interest. Specifically, we provide probabilistic estimates of peak ground acceleration, European microseismicity intensity, probability of light damage (damage risk), and individual risk. The results of the risk assessment indicate that the individual risk within a radius of 2 km around the injection point is below 0.1 micromorts, and damage risk is below 10−2, for the total duration of the project. However, these results are affected by several orders of magnitude of variability due to the deep uncertainties present at all levels of the analysis, indicating a critical need in updating this risk assessment with in situ data collected during the stimulation. Therefore, it is important to stress that this a priori study represents a baseline model and starting point to be updated and refined after the start of the project

Dietary patterns and risk of inflammatory bowel disease in Europe: Results from the EPIC study

Background: Dairy products may be involved in the etiology of inflammatory bowel disease by modulating gut microbiota and immune responses, but data from epidemiological studies examining this relationship are limited. We investigated the association between prediagnostic intake of these foods and dietary calcium and the subsequent development of Crohn’s disease (CD) and ulcerative colitis (UC). Methods: In total, 401,326 participants were enrolled in the European Prospective Investigation into Cancer and Nutrition cohort. At recruitment, consumption of total and specific dairy products (milk, yogurt, cheese) and dietary calcium was measured using validated food frequency questionnaires. Cases developing incident CD (n=110) or UC (n=244) during followup were matched with four controls. Conditional logistic regression analyses were used to calculate odds ratios (ORs) with 95% confidence intervals (CIs), adjusted for total energy intake and smoking. Results: Compared with the lowest quartile, the ORs for the highest quartile of total dairy products and dietary calcium intake were 0.61 (95% CI 0.32-1.19, p trend=0.19) and 0.63 (95% CI 0.28-1.42, p trend=0.23) for CD and 0.80 (95% CI 0.50-1.30, p trend=0.40) and 0.81 (95% CI 0.49-1.34, p trend=0.60) for UC. Compared with nonconsumers, individuals consuming milk had significantly reduced odds of CD (OR 0.30, 95% CI 0.13-0.65) and nonsignificantly reduced odds of UC (OR 0.85, 95% CI 0.49-1.47). Conclusions: Milk consumption may be associated with a decreased risk of developing CD, although a clear dose-response relationship was not established. Further studies are warranted to confirm this possible protective effect