In: Administrative sciences, 2021, vol. 11, no. 4, p. 17
In this study, we investigate the consequences of organizational change that consist of adding new categories to the portfolio of humanitarian organizations. Our aim is to discern differences in these consequences between specialist and generalist organizations. Previous research has shown that spanning categories lead to disadvantages in the evaluation of organizations by audience members in...
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In: System dynamics review, 2021, vol. 37, no. 2-3, p. 155-196
Benefiting from historically favorable conditions (e.g. low costs, fertile land, and abundant water), pistachio producers in Rafsanjan, Iran, have flourished, with pistachio orchards and production growing dramatically since the 1970s. Today, however, the enormous increase in water consumption associated with pistachio production has severely depleted groundwater aquifers, causing widespread...
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In: Algorithms, 2021, vol. 14, no. 9, p. 25
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...
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In: International journal on software tools for technology transfer, 2021, p. 15
The use of propositional logic and systems of linear inequalities over reals is a common means to model software for formal verification. Craig interpolants constitute a central building block in this setting for over-approximating reachable states, e.g. as candidates for inductive loop invariants. Interpolants for a linear system can be efficiently computed from a Simplex refutation by ...
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In: Annals of Mathematics and Artificial Intelligence, 2021, no. 89, p. 965–1011
We develop joint foundations for the fields of social choice and opinion pooling using coherent sets of desirable gambles, a general uncertainty model that allows to encompass both complete and incomplete preferences. This leads on the one hand to a new perspective of traditional results of social choice (in particular Arrow’s theorem as well as sufficient conditions for the existence of an...
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In: List Forum für Wirtschafts- und Finanzpolitik, 2021, vol. 46, no. 3, p. 359-377
Obwohl man im Zuge der COVID-19-Pandemie aufgrund des dramatischen Einbruchs aller Wirtschaftsprognosen weltweit bislang von rezessivdeflationären Auswirkungen ausgegangen ist, lassen sich Inflationsrisiken keineswegs ausschließen. Welche Folgeeffekte kann die Kombination aus milliardenhohen Liquiditätsspritzen bei starkem Produktionsrückgang sowie streng einzuhaltenden (und ebenso...
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In: Machines, 2020, vol. 8, no. 4, p. 17
Industrial robots are commonly used to perform interaction tasks (such as assemblies or polishing), requiring the robot to be in contact with the surrounding environment. Such environments are (partially) unknown to the robot controller. Therefore, there is the need to implement interaction controllers capable of suitably reacting to the established contacts. Although standard force controllers...
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In: Journal of economic behavior and organization, 2021, vol. 182, no. February, p. 12 p
Stress is associated with sleep problems and poor sleep is linked to mental health and depression symptoms. The stress associated with immigrant status and immigration policy can directly affect mental health. While previous studies have documented the significant relationship between immigration policy and the physical and mental health of immigrants, we know little about the effects of...
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In: Scientometrics, 2021, vol. 126, no. 2, p. 1311–1328
The aim of this study was to examine how institutional barriers arising from policy decisions influence the level of participation of third- party countries in European Framework Programs (EU-FPs). To achieve this, we contrasted the effect of EU funding restrictions following Switzerland’s 2014 reclassification as a “third country” in Horizon 2020, and the political uncertainties resulting...
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In: Entropy, 2021, vol. 23, no. 1, p. 27 p
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical...
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