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: International journal, 2021, vol. 76, no. 2, p. 238-256
This essay investigates justifications for the “necessity” of official secrecy, by tracing and structuring the rationales underlying it. Justifications will be investigated through the case of “national security secrecy,” a prominent example of official secrecy. While the literature generally treats “national security secrecy” as unidimensional, this analysis demarcates several...
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In: Vaccine: X, 2021, vol. 8, p. 7
Background: The Covid-19 pandemic is causing unprecedented disruption and suffering to people across the globe, with a disproportionate toll on the elderly. The development and equitable distribution of a vaccine seems to be the most promising and sustainable route ahead. The goal of this study was to explore older adults’ attitudes towards and beliefs regarding the Covid-19 vaccination in...
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In: Journal of computational science, 2021, vol. 53, p. 13
The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...
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In: Computer aided geometric design, 2021, vol. 88, p. 11
Bézier curves are indispensable for geometric modelling and computer graphics. They have numerous favourable properties and provide the user with intuitive tools for editing the shape of a parametric polynomial curve. Even more control and flexibility can be achieved by associating a shape parameter with each control point and considering rational Bézier curves, which comes with the...
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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: Journal of systems and software, 2021, vol. 181, p. 13
Software testing depends on effective oracles. Implicit oracles, such as checks for program crashes, are widely applicable but narrow in scope. Oracles based on formal specifications can reveal applicationspecific failures, but specifications are expensive to obtain and maintain. Metamorphic oracles are somewhere in-between. They test equivalence among different procedures to detect semantic...
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In: The european journal of development research, 2021, p. 27
Cet article étudie l’impact du microcrédit au Brésil. Nous utilisons la méthode d’appariemment sur score de propension sur des données primaires originales issues de résultats commerciaux et personnels pour comparer les clients de longue date de la BNDES - la plus grande banque de développement appartenant au gouvernement du Brésil - à un échantillon apparié de clients plus...
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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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