Controverse sur les rapports entre race et intelligence
Publications associées (18)
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We adopted an achievement goal complex framework (studying achievement goals and reasons connected to goals) to determine when and why performance goals predict exploitation of others' knowledge. We hypothesized that: (i) when selective assessment is used ...
The paradigm of Human Computation has grown rapidly in recent years and has thus sparked great interest in both the industry and the research community. In this survey, we give an overview of the state-of-the-art of human computation in the context of data ...
BACKGROUND: Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of thes ...
Cognitive deficits in individuals at risk of psychosis represent a significant challenge for research, as current strategies for symptomatic treatment are often ineffective. Recent studies showed that atypical cognitive development predicts the occurrence ...
SPRINGERNATURE2021
Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly considers its three major aspects, namely, modeling, analysis, and synthesi ...
2012
We investigate the non-adiabaticity of current-induced domain wall motion by time resolved analysis of thermally activated domain wall motion between two metastable states within a Co/Pt multilayer wire with a strong uniaxial perpendicular anisotropy. By m ...
2011
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Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like finding a needle in a haystack: 76%-90% of the true data races reported by sta ...
Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2012
Concurrency bugs are at the heart of some of the worst bugs that
plague software. Concurrency bugs slow down software development
because it can take weeks or even months before developers
can identify and fix them.
In-production detection, root cause ...
EPFL2015
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Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Eliminating all data races from programs is impractical (e.g., system performance could suffer severely), yet spotting just the harmful ones ...
2011
The rapid rise of organic-inorganic lead halide perovskites has amazed the photovoltaic community. As the efficiency race continues for this revolutionary class of light-harvesting materials, many questions on the structural, electronic and optical propert ...