Culture\u27S Impact On Technology Mediated Learning: The Role Of Horizontal And Vertical Individualism And Collectivism

The horizontal and vertical dimensions of individualism and collectivism are an important characteristic of cultures. These dimensions have many implications for the ways in which individual learners use and respond to interactive technologies. This article reports on a study that investigated the impact of culture, specifically horizontal individualism (HI), vertical individualism (VI), horizontal collectivism (HC),and vertical collectivism (VC) on the effectiveness of technology mediated learning. Results indicate that the four dimensional patterns have differing effects on the use of TML communication capabilities, feelings of sense of community, satisfaction with the TML experience, perceived learning, and declarative knowledge acquisition. Copyright © 2006, Idea Group Inc

Zur Rolle der Gesundheitsselbsthilfe im Rahmen der Patientenbeteiligung in der gemeinsamen Selbstverwaltung gemäß § 140f SGB V | Eine explorative qualitative Studie und theoretische Einordnungen

Das vorliegende Buch ist als Ergebnis des Kölner Moduls eines vom BMG geförderten Forschungsprojekts im Forschungsnetzwerk mit der Universität Hamburg und der Universität Hannover zur Wirkungsanalyse der Gesundheitsselbsthilfe in Deutschland (SHILD III) ein Beitrag zur Analyse der Mitwirkung der Selbsthilfe in der Patientenbeteiligung nach § 140f SGB V in Gremien des G-BA im Rahmen der kollektiven Selbstverwaltung. Die institutionellen und rechtlichen Konstruktionen beachtend, wird auf der Basis einer Literaturanalyse und eines qualitativen Mixed-Methods-Design interdisziplinär theoriefundiert und hypothesengeleitet und zugleich in abduktiver Offenheit ein explorativer Einblick in die Kultur der Rolle der Selbsthilfe in diesem korporatistischen Regime erarbeitet. Dabei stehen Ambivalenzaspekte in der Einschätzung im Vordergrund. Der Beitrag versteht sich als kritische Exploration einer kulturellen Grammatik des Geschehens.»The Role of the Health Self Help as Part of Patient Participation in the Context of § 14of German Social Book V (Social Health Insurance)« What is the role of the participation of acteurs/institutions of health self help in the legal framework and political context of the collective self-governance of the German health care system (§ 140f Social Book V)? Based on a qualitative mixed-method social research design the study is an explorative contribution to the cultural grammar of the process. Grounded in post-structural theory and guided by a set of hypotheses the study is open for new perspectives, but put the emphasis on ambivalences in the political game

Inflammatory neuronal loss in the substantia nigra induced by systemic lipopolysaccharide is prevented by knockout of the P2Y₆ receptor in mice.

Inflammation may contribute to multiple brain pathologies. One cause of inflammation is lipopolysaccharide/endotoxin (LPS), the levels of which are elevated in blood and/or brain during bacterial infections, gut dysfunction and neurodegenerative diseases, such as Parkinson's disease. How inflammation causes neuronal loss is unclear, but one potential mechanism is microglial phagocytosis of neurons, which is dependent on the microglial P2Y6 receptor. We investigated here whether the P2Y6 receptor was required for inflammatory neuronal loss. Intraperitoneal injection of LPS on 4 successive days resulted in specific loss of dopaminergic neurons (measured as cells staining with tyrosine hydroxylase or NeuN) in the substantia nigra of wild-type mice, but no neuronal loss in cortex or hippocampus. This supports the hypothesis that neuronal loss in Parkinson's disease may be driven by peripheral LPS. By contrast, there was no LPS-induced neuronal loss in P2Y6 receptor knockout mice. In vitro, LPS-induced microglial phagocytosis of cells was prevented by inhibition of the P2Y6 receptor, and LPS-induced neuronal loss was reduced in mixed glial-neuronal cultures from P2Y6 receptor knockout mice. This supports the hypothesis that microglial phagocytosis contributes to inflammatory neuronal loss, and can be prevented by blocking the P2Y6 receptor, suggesting that P2Y6 receptor antagonists might be used to prevent inflammatory neuronal loss in Parkinson's disease and other brain pathologies involving inflammatory neuronal loss

Evaluation study of the European Framework Programmes for Research and Innovation for a Resilient Europe: Final Report Phase 1:Evaluation study feeding into the Commission’s ex-post evaluation of Horizon 2020

This final report provides the results of the ‘Resilient Europe study’ implemented in the period between December 2021 and January 2023.The study was completed by a consortium consisting of PPMI Group, Prognos, VTT and Maastricht University. Using a wide range of qualitative and quantitative methods, the study covers Horizon 2020 activities that contribute to building a more resilient Europe in terms of addressing the following challenges: Societal Challenge 1; Societal Challenge 6; Societal Challenge 7. In parallel, the study also assesses four institutional partnerships, namely the AAL2, EDCTP2, IMI2 and EIT Health

Predicting Critical Transitions in ENSO Models. Part I: Methodology and Simple Models with Memory

A new empirical approach is proposed for predicting critical transitions in the climate system based on a time series alone. This approach relies on nonlinear stochastic modeling of the system's time-dependent evolution operator by the analysis of observed behavior. Empirical models that take the form of a discrete random dynamical system are constructed using artificial neural networks; these models include statedependent stochastic components. To demonstrate the usefulness of such models in predicting critical climate transitions, they are applied here to time series generated by a number of delay-differential equation (DDE) models of sea surface temperature anomalies. These DDE models take into account the main conceptual elements responsible for the El Niño-Southern Oscillation phenomenon. The DDE models used here have been modified to include slow trends in the control parameters in such a way that critical transitions occur beyond the learning interval in the time series. Numerical results suggest that the empirical models proposed herein are able to forecast sequences of critical transitions that manifest themselves in future abrupt changes of the climate system's statistics