Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of uncertainty. Whether decisions are definitive (i.e., concluding in all-or-none choices), or whether the under
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The US Environmental Protection Agency (EPA) EnviroAtlas programme produced a 30-m-resolution dasymetric map of contiguous US populations, which we intersected with the multifrequency hazard data. Here we leverage the 1″ model output (prior to downscaling) deterministically to align with the populat...
44 A selection bias is possible because the surgeons who self-select to participate may be “above average.” They may share certain characteristics, such as a focus on quality and safety, better resources or a different case-mix compared to nonparticipating surgeons. If so, our results may ...
Eleven media companies, including NBCUniversal, are asking the judge to release the jury questionnaires. U.S. District Court Judge Edward Davila initially told jurors that their questionnaire, intended to identify potential bias when selecting a jury, would remain confidential.Davila met individually ...
Orion. Either the Atlas or Sirius mount, they are actually equal to the HEQ5/6. iOptron. The CEM mounts are fantastic. Losmandy Celestron. Folks swear by the CGX, but avoid the AVX as it is troublesome. Okay, so now you have purchased your mount, where does the automation kick in?
Murdock GP (1967) Ethnographic atlas. University of Pittsburgh Press, Pittsburgh Google Scholar Murdock GP (1968) Patterns of sibling terminology. Ethnology 7:1. https://doi.org/10.2307/3772805 Article Google Scholar Murdock GP (1970) Kin term patterns and their distribution. Ethnology 9:165–...
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However, expectations can also introduce a bias in our perception when faced with ambiguous sensory information. For instance, from a distance, we might mistakenly categorise a distant individual as a friend due to their attire, even if they are, in fact, a stranger. The neural mechanism of ...
The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep learning (DL) models have been trained on TCGA to predict numerous features directly from histology, including survival, gene expression patterns, and driver mutations. However, we demonstrate that these...