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(optimistic bias)
461 results
  • Dissociable effects of reward magnitude on fronto-medial theta and FRN during performance monitoring. [Journal Article]
    Psychophysiology 2019; :e13481Paul K, Vassena E, … Pourtois G
  • Reward processing is influenced by reward magnitude, as previous EEG studies showed changes in amplitude of the feedback-related negativity (FRN) and reward positivity (RewP), or power of fronto-medial theta (FMθ). However, it remains unclear whether these changes are driven by increased reward sensitivity, altered reward predictions, enhanced cognitive control, or a combination of these effects.…
  • Machine learning models accurately predict ozone exposure during wildfire events. [Journal Article]
    Environ Pollut 2019; 254(Pt A):112792Watson GL, Telesca D, … Jerrett M
  • Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the predictive accuracy of ten algorithms on the daily 8-hour maximum average ozone during a 2008 wildfire event in northern California. Models were evaluated …
  • New Caledonian Crows Behave Optimistically after Using Tools. [Journal Article]
    Curr Biol 2019; 29(16):2737-2742.e3McCoy DE, Schiestl M, … Taylor AH
  • Are complex, species-specific behaviors in animals reinforced by material reward alone or do they also induce positive emotions? Many adaptive human behaviors are intrinsically motivated: they not only improve our material outcomes, but improve our affect as well [1-8]. Work to date on animal optimism, as an indicator of positive affect, has generally focused on how animals react to change in the…
  • On the Bias of Precision Estimation Under Separate Sampling. [Journal Article]
    Cancer Inform 2019; 18:1176935119860822Xie S, Braga-Neto UM
  • Observational case-control studies for biomarker discovery in cancer studies often collect data that are sampled separately from the case and control populations. We present an analysis of the bias in the estimation of the precision of classifiers designed on separately sampled data. The analysis consists of both theoretical and numerical results, which show that classifier precision estimates ca…
  • Learning to Look at the Bright Side of Life: Attention Bias Modification Training Enhances Optimism Bias. [Journal Article]
    Front Hum Neurosci 2019; 13:222Kress L, Aue T
  • Identifying neurocognitive mechanisms underlying optimism bias is essential to understand its benefits for well-being and mental health. The combined cognitive biases hypothesis suggests that biases (e.g., in expectancies and attention) interact and mutually enforce each other. Whereas, in line with this hypothesis, optimistic expectancies have been shown to guide attention to positive informatio…
  • Physician perspectives on integration of artificial intelligence into diagnostic pathology. [Journal Article]
    NPJ Digit Med 2019; 2:28Sarwar S, Dent A, … Diamandis P
  • Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant speculation. There is however a dearth of information regarding the opinions, enthusiasm, and concerns …
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