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We provide evidence on the extent to which survey items in the Preference Survey Module and the resulting Global Preference Survey measuring social preferences − trust, altruism, positive and negative reciprocity − predict behavior in corresponding experimental games outside the original participant sample of Falk et al. (2022). Our results, which are based on a replication study with university students in Tehran, Iran, are mixed. While quantitative items considering hypothetical versions of the experimental games correlate significantly and economically meaningfully with individual behavior, none of the qualitative items show significant correlations. The only exception is altruism where results correspond more closely to the original findings.
This paper addresses the development of performance-based assessment items for ICT skills, skills in dealing with information and communication technologies, a construct which is rather broadly and only operationally defined. Item development followed a construct-driven approach to ensure that test scores could be interpreted as intended. Specifically, ICT-specific knowledge as well as problem-solving and the comprehension of text and graphics were defined as components of ICT skills and cognitive ICT tasks (i.e., accessing, managing, integrating, evaluating, creating). In order to capture the construct in a valid way, design principles for constructing the simulation environment and response format were formulated. To empirically evaluate the very heterogeneous items and detect malfunctioning items, item difficulties were analyzed and behavior-related indicators with item-specific thresholds were developed and applied. The 69 item’s difficulty scores from the Rasch model fell within a comparable range for each cognitive task. Process indicators addressing time use and test-taker interactions were used to analyze whether most test-takers executed the intended processes, exhibited disengagement, or got lost among the items. Most items were capable of eliciting the intended behavior; for the few exceptions, conclusions for item revisions were drawn. The results affirm the utility of the proposed framework for developing and implementing performance-based items to assess ICT skills.
The ICON single-column mode
(2021)
The single-column mode (SCM) of the ICON (ICOsahedral Nonhydrostatic) modeling framework is presented. The primary purpose of the ICON SCM is to use it as a tool for research, model evaluation and development. Thanks to the simplified geometry of the ICON SCM, various aspects of the ICON model, in particular the model physics, can be studied in a well-controlled environment. Additionally, the ICON SCM has a reduced computational cost and a low data storage demand. The ICON SCM can be utilized for idealized cases—several well-established cases are already included—or for semi-realistic cases based on analyses or model forecasts. As the case setup is defined by a single NetCDF file, new cases can be prepared easily by the modification of this file. We demonstrate the usage of the ICON SCM for different idealized cases such as shallow convection, stratocumulus clouds, and radiative transfer. Additionally, the ICON SCM is tested for a semi-realistic case together with an equivalent three-dimensional setup and the large eddy simulation mode of ICON. Such consistent comparisons across the hierarchy of ICON configurations are very helpful for model development. The ICON SCM will be implemented into the operational ICON model and will serve as an additional tool for advancing the development of the ICON model.
Currently, a wide variety of complex non-oral dosage forms are entering the global healthcare market. Although many assays have been described in recent research, harmonized procedures and standards for testing their in vitro performance remain widely unexplored. Among others, dialysis-based techniques such as the Pharma Test Dispersion Releaser are developed for testing the release of drugs from nanoparticles, liposomes, or extracellular vesicle preparations. Here, we provide advanced strategies and practical advice for the development and validation of dialysis-based techniques, including documentation, analysis, and interpretation of the raw data. For this purpose, key parameters of the release assay, including the hydrodynamics in the device at different stirring rates, the selectivity for particles and molecules, as well as the effect of excipients on drug permeation were investigated. At the highest stirring rate, a more than twofold increase in the membrane permeation rate (from 0.99 × 10−3 to 2.17 × 10−3 cm2/h) was observed. Additionally, we designed a novel computer model to identify important quality parameters of the dialysis experiment and to calculate error-corrected release profiles. Two hydrophilic creams of diclofenac, Voltaren® Emulgel, and Olfen® gel, were tested and provide first-hand evidence of the robustness of the assay in the presence of semisolid dosage forms.
Over the last years there has been an increasing interest in the involvement of the MVA-pathway and of members of the small GTPases, in the development and progression of AD. Earlier investigations mainly focused on the role of cholesterol in disease pathology. This research was supported by retrospective cohort studies, initially showing beneficial effects of the long-term intake of cholesterol lowering statins, on the incidence of the development of sporadic AD. However, in more recent literature increasing attention has been paid to the isoprenoids, FPP and GGPP, due to their crucial role in the post-translational modifications of members of the superfamily of small GTPases. In AD, these proteins were amongst others shown to be involved in mechanisms affecting APP processing, ROS generation and synaptic plasticity. A major factor impeding the clarification of the role of the MVA-pathway intermediates in these mechanisms was the lack of a sensitive and accurate method to determine FPP and GGPP levels in brain tissue. Hence, a state of the art HPLC-FLD method for the quantification of the isoprenoids FPP and GGPP in brain tissue was successfully developed. After the introduction of a double clean-up step from complex brain matrix samples and the synthesis of an appropriate IS (DNP), the method was fully validated according to the latest FDA guideline for bioanalytical method validation. Furthermore, this method was transferred to a faster and more sensitive, state of the art UHPLC-MS/MS application. Additionally, the method was shown to be applicable for mouse brain tissue and data was generated from an in vivo mouse simvastatin study and for different mouse models. According to the aims of the thesis, the current work describes for the first time absolute isoprenoid concentrations in human frontal cortex white and grey matter. Furthermore, this is the first report of isoprenoid levels in the frontal cortex of human AD brains. Further results were shown from mouse brains originating from different mouse models, including the Thy-1 APP mouse model mimicking AD pathology in terms of Aβ formation or C57Bl/6 mice at different ages. AD prevalence can be clearly correlated with increasing age. Therefore, three different generations of mice were investigated. The study demonstrated constant isoprenoid and cholesterol levels in the first half of their life followed by a significant increase of FPP and GGPP in the second half (between 12 and 24 month of age). Cholesterol levels were also elevated in the aged group, but again the effect was less pronounced than shown for the isoprenoids. These results lead to the tentative conclusion that cerebral isoprenoid levels are elevated during aging and that this accumulation is amplified during AD leading to accelerated neuronal dysfunction. In a different mouse study, using the C57Bl/6 mice, in vivo drug intervention with the HMG-CoA reductase inhibitor simvastatin revealed strong inhibition of the rate limiting step of the mevalonate/isoprenoid/cholesterol pathway and resulted in the first report of significantly reduced FPP and GGPP levels in brain tissue of statin treated mice. These results open for the first time the possibility to monitor drug effects on cerebral isoprenoid levels and correlate these data with a modulation of APP processing, which was shown by our group in previous studies. Interestingly, apart from the isoprenoid reduction following statin treatment the reduction of brain cholesterol was also significant but to a lesser extent. These findings support the notion that isoprenoid levels are more susceptible to statin treatment than cholesterol levels. Furthermore, this suggests a strong cellular dependence on FPP and GGPP, as the pool seems to be easily depleted, which finally could lead to cell death. The first investigations of farnesylated Ras and geranylgeranylated Rac protein levels by means of immuno-blotting, substantiated the notion of a decreased abundance of prenylated small GTPases under statin influence as a consequence of reduced isoprenoid levels. These findings demonstrate for the first time a correlation of FPP and GGPP levels with the abundance of small GTPases. These findings together with the results from the AD study prove that isoprenoid levels are not strictly subject to the same regulation as cholesterol levels. To further understand the physiological regulation in the cell, in vitro experiments with different inhibitors of the mevalonate/isoprenoid/cholesterol pathway were conducted. These results confirmed the isoprenoid and cholesterol reducing effects of statin treatment as observed in the aforementioned in vivo mouse study. Interestingly, cholesterol synthesis inhibition targeted after FPP as the branch point, led to significantly elevated FPP levels. FTase inhibition led to significantly reduced FPP levels, whereas inhibition of the GGTase I did not show a significant change of either isoprenoid levels.
We provide insights into determinants of the rating level of 371 issuers which defaulted in the years 1999 to 2003, and into the leader-follower relationship between Moody’s and S&P. The evidence for the rating level suggests that Moody’s assigns lower ratings than S&P for all observed periods before the default event. Furthermore, we observe two-way Granger causal-ity, which signifies information flow between the two rating agencies. Since lagged rating changes influence the magnitude of the agencies’ own rating changes it would appear that the two rating agencies apply a policy of taking a severe downgrade through several mild down-grades. Further, our analysis of rating changes shows that issuers with headquarters in the US are less sharply downgraded than non-US issuers. For rating changes by Moody’s we also find that larger issuers seem to be downgraded less severely than smaller issuers.