منابع مشابه
You bet-cha: a novel family of transcriptional regulators.
The BET proteins are a novel class of transcriptional regulators whose members can be found in animals, plants and fungi. Founding members are Human RING3, Drosophila Fsh and yeast Bdf1p. BET proteins are distinguished by an N-terminal bromodomain or bromodomains and an ET domain. As predicted by the presence of the bromodomain(s), these proteins have been found to be associated with chromatin....
متن کاملDo youths gamble? You bet! A Swiss population-based study.
OBJECTIVES To establish the gambling prevalence among Swiss resident youths, to estimate the associations between gambling frequency and substance use, poor mental health and social support and to determine the correlation between gambling pattern and gambling frequency. METHODS Cross-sectional population-based survey conducted in 2007. From 1233 eligible participants aged 15-24 years, adequa...
متن کامل'I bet you know more and are nicer too!': what children infer from others' accuracy.
Research has shown that preschoolers monitor others' prior accuracy and prefer to learn from individuals who have the best track record. We investigated the scope of preschoolers' attributions based on an individual's prior accuracy. Experiment 1 revealed that 5-year-olds (but not 4-year-olds) used an individual's prior accuracy at labelling to predict her knowledge of words and broader facts; ...
متن کامل"I bet you won't": The science-society wager on gene editing techniques.
A clear indication that a development in the life sciences has attracted public attention is when it adorns the cover of one of the world’s leading news magazines. On August 2015, the Economist published an extensive headline report on gene editing with a special focus on CRISPR. The magazine invoked a new “age of the red pen” with the prospect of “editing humanity” and “genetic enhancement”. T...
متن کاملI Bet You Look Good on the Wall: Making the Invisible Computer Visible
The design ideal of the invisible computer, prevalent in the vision of ambient intelligence (AmI), has led to a number of interaction challenges. The complex nature of AmI environments together with limited feedback and insufficient means to override the system can result in users who feel frustrated and out of control. In this paper, we explore the potential of visualising the system state to ...
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ژورنال
عنوان ژورنال: The Iowa Review
سال: 1989
ISSN: 0021-065X,2330-0361
DOI: 10.17077/0021-065x.3708