Another chance? Concerns about inequality, support for the European Union and further European integration

Following the 2007–2008 financial crisis, it was expected that the economic downturn and the widening of economic disparities would produce lower support for the European Union (EU) and its continued integration. Using the 2009 European Election Study (EES) data in 27 EU member states, we find that citizens who see greater economic instability and insecurity, regardless of their current economic status, lower their support for the EU as it is but increase their support for continuing integration. Substantively, this suggests that EU citizens may offer the EU another chance to tackle this timely issue and counterbalance market-generated inequality

Phase Behavior of Aqueous Na-K-Mg-Ca-CI-NO3 Mixtures: Isopiestic Measurements and Thermodynamic Modeling

A comprehensive model has been established for calculating thermodynamic properties of multicomponent aqueous systems containing the Na{sup +}, K{sup +}, Mg{sup 2+}, Ca{sup 2+}, Cl{sup -}, and NO{sub 3}{sup -} ions. The thermodynamic framework is based on a previously developed model for mixed-solvent electrolyte solutions. The framework has been designed to reproduce the properties of salt solutions at temperatures ranging from the freezing point to 300 C and concentrations ranging from infinite dilution to the fused salt limit. The model has been parameterized using a combination of an extensive literature database and new isopiestic measurements for thirteen salt mixtures at 140 C. The measurements have been performed using Oak Ridge National Laboratory's (ORNL) previously designed gravimetric isopiestic apparatus, which makes it possible to detect solid phase precipitation. Water activities are reported for mixtures with a fixed ratio of salts as a function of the total apparent salt mole fraction. The isopiestic measurements reported here simultaneously reflect two fundamental properties of the system, i.e., the activity of water as a function of solution concentration and the occurrence of solid-liquid transitions. The thermodynamic model accurately reproduces the new isopiestic data as well as literature data for binary, ternary and higher-order subsystems. Because of its high accuracy in calculating vapor-liquid and solid-liquid equilibria, the model is suitable for studying deliquescence behavior of multicomponent salt systems

Regressie-analyse in het kader van causale analyse 1974 : Vaardigheidscursus data-analyse

A course on data analysis/ in particular regression analysis within the framework of causal analysis. For secondary analysis a survey is used in which countries are units of observation: with data on economic, political and social quantities

Chandra observations of Jupiter's X-ray auroral emission during Juno apojove 2017

Jupiter's auroral X-rays have been observed for 40 years with an unknown driver producing quasi-periodic emission, concentrated into auroral hot spots. In this study we analyze a ∼ 10 hour Chandra observation from 18:56 on June 18th 2017. We use a new Python pipeline to analyze the auroral morphology; perform timing analysis by incorporating Rayleigh testing and use in situ Juno observations to infer the magnetosphere was compressed during the Chandra interval. During this time Juno was near its apojove position of ∼ 112 RJ, on the dawn flank of the magnetosphere near the nominal magnetopause position. We present new dynamical polar plots showing an extended X-ray hot spot in the northern auroral region traversing across the jovian disk. From this morphology, we propose setting a numerical threshold of > 7 photons per 5° System III longitude × 5° latitude to define a photon concentration of the northern hot spot region. Our timing analysis finds two significant quasi-periodic oscillations (QPOs) of ∼ 37 and ∼ 26 minutes within the extended northern hot spot. No statistically significant QPOs were found in the southern X-ray auroral emission. The Rayleigh test is combined with Monte Carlo simulation to find the statistical significance of any QPOs found. We use a flux equivalence mapping model to trace the possible origin of the QPOs, and thus the driver, to the dayside magnetopause boundary