Nominal attributes are very common in data sets about individuals, specifically medical data like patient healthcare records. Attributes of this type tend to be sensitive due to their personal nature. If public-use data sets need to be released, e.g. for clinical research purposes, data should be first anonymized. However, since most anonymization methods omit data semantics when dealing with n...

We provide a new characterization of the Shapley value neither using the e¢ciency axiom nor the additivity axiom. In this characterization, e¢ciency is replaced by the gain-loss axiom (Einy and Haimanko, 2011, Game Econ Behav 73: 615–621), i.e., whenever the total worth generated does not change, a player can only gain at the expense of another one. Additivity and the equal treatment axiom are ...

Abstract This article investigates how marginal individuals construct a productive self in an interview. It reports on case study of three women—a squatter, rough sleeper, and Irish Traveller—who inhabit uncertain threatened homes. In response to dominant discourses productivity, the interviews speakers’ talk reflects desire be perceived as able knowledgeable individuals. Thus, rejecting their ...

We examine who the winners are in science problem solving contests characterized by open broadcast of problem information, self-selection of external solvers to discrete problems from the laboratories of large R&D intensive companies and blind review of solution submissions. Analyzing a unique dataset of 166 science challenges involving over 12,000 scientists revealed that technical and social ...

Reduced quasilinear (QL) and nonlinear (gradient-driven) models with scale separations, commonly used to interpret experiments forecast turbulent transport levels in magnetised plasmas are tested against without separations (flux-driven). Two distinct regimes of turbulence -- either far above threshold or near marginal stability investigated Boltzmann electrons. The success reduced especially h...