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, Entscheidungsunterstützungssysteme, Prognoseverfahren, Visual Analytics, künstliche neuronale Netze (KNN), Hochschul-IT. - Business information science …
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Using a supervised neural network (NN) trained once on a one-dimensional lattice of 200 sites, we calculate the Berezinskii–Kosterlitz–Thouless phase transitions of the two-dimensional (2D) classical XY and the 2D generalized classical XY models. In particular, both the bulk quantities...
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COVID-19 has changed the way we live, communicate and work, as well as altering our feelings. The higher education sector, alongside other sectors, has been severely affected by the pandemic and its serious repercussions. Academic and teaching staff have had to work from home and convert to...
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Including employees and stakeholders in the budgeting process enhances decision-making, encourages trust, and increases the probability of goal attainment. The present study investigates the simultaneous impact of motivational and cognitive variables of budget participation on managerial...
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In this study, a path to improving students' core literacy is explored, and a new mechanism is developed for maker education and teaching based on research on students' core literacy and the essence of maker education. An evaluation model of college students' maker ability is established, and an...
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