14 research outputs found

    The reaction of exchange rates and interest rates of news releases

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    Leading indicators are typical constructs used in macroeconomics to guide decision making in several areas of economic activity, including policy formation and long term investment. Researchers often evaluate and select leading indicators on a seemingly ad hoc basis involving OLS regression, which does not take into account the fact that perhaps the most important property of a good leading indicator lies in its ability to anticipate the turning points of the time series of interest. We propose an alternative assessment of leading indicators, based on the turning point significance transform, which weights each observation of the original time series according to how much it functions as a turning point. This new construct is then used to evaluate the accuracy and timeliness of several German and American macroeconomic time series as leading indicators for GDP growth. --leading indicator,turning point,prediction

    Approximation properties of the neuro-fuzzy minimum function

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    The integration of fuzzy logic systems and neural networks in data driven nonlinear modeling applications has generally been limited to functions based upon the multiplicative fuzzy implication rule for theoretical and computational reasons. We derive a universal approximation result for the minimum fuzzy implication rule as well as a differentiable substitute function that allows fast optimization and function approximation with neuro-fuzzy networks. --Fuzzy Logic,Neural Networks,Nonlinear Modeling,Optimization

    Longitudinal shower development in the DELPHI electromagnetic calorimeter HPC

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    Die digitale Herausforderung : Tipping Points, die Ihr Unternehmen verÀndern werden

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    Hinter dem Stichwort Digitalisierung verbirgt sich viel „Hype" und viele Unternehmer können nicht einschĂ€tzen, wann die neuen Technologien tatsĂ€chlich reif sind. Wann verĂ€ndert sich das Kaufverhalten der Kunden? Und wie mĂŒssen Unternehmer ihre Organisation verĂ€ndern, um noch wettbewerbsfĂ€hig zu sein? Die Autoren schauen in ihrem Buch realistisch auf gehypte Trends, erklĂ€ren die Grundlagen dazu und geben eine Orientierung, um das jeweilige Thema besser einschĂ€tzen zu können. Anhand der fĂŒnf wesentlichen Tipping Points geben sie Managern Werkzeuge an die Hand, um disruptive VerĂ€nderungen zu erkennen und den richtigen Zeitpunkt zum Handeln bestimmen zu können. Wann soll oder muss ein Unternehmen tatsĂ€chlich umsteuern

    Die digitale Herausforderung : Tipping Points, die Ihr Unternehmen verÀndern werden

    No full text
    Hinter dem Stichwort Digitalisierung verbirgt sich viel „Hype" und viele Unternehmer können nicht einschĂ€tzen, wann die neuen Technologien tatsĂ€chlich reif sind. Wann verĂ€ndert sich das Kaufverhalten der Kunden? Und wie mĂŒssen Unternehmer ihre Organisation verĂ€ndern, um noch wettbewerbsfĂ€hig zu sein? Die Autoren schauen in ihrem Buch realistisch auf gehypte Trends, erklĂ€ren die Grundlagen dazu und geben eine Orientierung, um das jeweilige Thema besser einschĂ€tzen zu können. Anhand der fĂŒnf wesentlichen Tipping Points geben sie Managern Werkzeuge an die Hand, um disruptive VerĂ€nderungen zu erkennen und den richtigen Zeitpunkt zum Handeln bestimmen zu können. Wann soll oder muss ein Unternehmen tatsĂ€chlich umsteuern

    The reaction of exchange rates and interest rates of news releases

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    SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel W 1185 (98.2) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

    A Face-Aging Smoking Prevention/Cessation Intervention for Nursery School Students in Germany: An Appearance-Focused Interventional Study

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    The Education Against Tobacco (EAT) network delivers smoking prevention advice in secondary schools, typically using the mirroring approach (i.e., a selfie altered with a face-aging app and shared with a class). In November 2017, however, the German assembly of EAT opted to expand its remit to include nursing students. To assess the transferability of the existing approach, we implemented it with the self-developed face-aging app Smokerface (=mixed - methods approach) in six nursing schools. Anonymous questionnaires were used to assess the perceptions of 197 students (age 18-40 years; 83.8% female; 26.4% smokers; 23.3% daily smokers) collecting qualitative and quantitative data for our cross-sectional study. Most students perceived the intervention to be fun (73.3%), but a minority disagreed that their own animated selfie (25.9%) or the reaction of their peers (29.5%) had motivated them to stop smoking. The impact on motivation not to smoke was considerably lower than experienced with seventh graders (63.2% vs. 42.0%; notably, more smokers also disagreed (45.1%) than agreed (23.5%) with this statement. Agreement rates on the motivation not to smoke item were higher in females than in males and in year 2-3 than in year 1 students. Potential improvements included greater focus on pathology (29%) and discussing external factors (26%). Overall, the intervention seemed to be appealing for nursing students
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