Machine learning-based training of brain activity has led to exciting developments: reduce fears, change one s preferences, or even increase one s confidence. Unfortunately, data to better understand the mechanisms of brain self-regulation remain scarce. A group of researchers from Japan, the US and Canada have joined forces to release the largest existing dataset of the sort.
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IMAGE: Automotive recalls are occurring at record levels, but seem to be announced after inexplicable delays. A research study of 48 years of auto recalls announced in the United States finds. view more
Credit: Indiana University
BLOOMINGTON, Ind. - Automotive recalls are occurring at record levels, but seem to be announced after inexplicable delays. A research study of 48 years of auto recalls announced in the United States finds carmakers frequently wait to make their announcements until after a competitor issues a recall - even if it is unrelated to similar defects.
This suggests that recall announcements may not be triggered solely by individual firms product quality defect awareness or concern for the public interest, but may also be influenced by competitor recalls, a phenomenon that no prior research had investigated.
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With the onset of the COVID-19 pandemic, telemedicine has become a new norm for many routine and non-emergency medical needs. But there are lessons to be learned from telemedicine s use - or lack thereof - prior to the pandemic, and a new study from a UConn School of Social Work researcher offers insight for policymakers, administrators, and public health officials when considering the implementation of new services.
A qualitative researcher, lead author and licensed clinical social worker Kelsi Carolan was brought into the study - which was conducted in 2017 and 2018 and was recently published in the
Journal of Medical Internet Research - to examine the adoption of a telemedicine program in a California independent senior living community.
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Researchers have mapped an underlying psychological signature for people who are predisposed to holding extreme social, political or religious attitudes, and support violence in the name of ideology.
A new study suggests that a particular mix of personality traits and unconscious cognition - the ways our brains take in basic information - is a strong predictor for extremist views across a range of beliefs, including nationalism and religious fervour.
These mental characteristics include poorer working memory and slower perceptual strategies - the unconscious processing of changing stimuli, such as shape and colour - as well as tendencies towards impulsivity and sensation seeking.