1,755 research outputs found

    Linking Melodic Expectation to Expressive Performance Timing and Perceived Musical Tension

    Get PDF
    This article may not exactly replicate the final version published in the APA journal. It is not the copy of record

    Using social media to disseminate injury prevention content: Is a picture worth a thousand words?

    Get PDF
    Social media (SM) offers an opportunity for injury professionals to disseminate reliable safety recommendations to parents, yet little is known about the reach and impact of SM messages on parental safety knowledge and safety behavior adoption. It is also unclear whether electronic health (eHealth) literacy level is associated with understanding of messages. Parents of children (\u3c 7 years) were recruited from a nationally representative consumer panel to complete an online survey assessing their Internet and SM usage and eHealth literacy level using the eHealth Literacy Scale (eHEALS). Participants were shown three safety SM posts where images and text matched or did not match. A post-exposure survey captured participant understanding of SM post message. Five-hundred eighty parents completed the survey. A majority of participants were female (58.6%) with high eHealth literacy (84.5%). Compared to low eHealth literate parents, a larger proportion of high eHealth literate parents correctly identified the message in mismatched posts (safe sleep: p = .0081; poison prevention: p = .0052), while similar proportions of parents with high and low eHealth literacy correctly identified a matched post for bike safety (p = .7022). Within each eHealth literacy level, high eHealth literate parents were more often able to correctly identify SM post messaging when the photo and text matched. Parents are using SM to acquire safety, health, and parenting information; therefore, it is incumbent upon disseminators to create content with clear messages. SM posts should utilize matching text with imagery that illustrates the recommended safety behavior to facilitate parental understanding of safety recommendations, regardless of audience eHealth literacy level

    Transitions Induced by the Discreteness of Molecules in a Small Autocatalytic System

    Full text link
    Autocatalytic reaction system with a small number of molecules is studied numerically by stochastic particle simulations. A novel state due to fluctuation and discreteness in molecular numbers is found, characterized as extinction of molecule species alternately in the autocatalytic reaction loop. Phase transition to this state with the change of the system size and flow is studied, while a single-molecule switch of the molecule distributions is reported. Relevance of the results to intracellular processes are briefly discussed.Comment: 5 pages, 4 figure

    What determines auditory similarity? The effect of stimulus group and methodology.

    Get PDF
    Two experiments on the internal representation of auditory stimuli compared the pairwise and grouping methodologies as means of deriving similarity judgements. A total of 45 undergraduate students participated in each experiment, judging the similarity of short auditory stimuli, using one of the methodologies. The experiments support and extend Bonebright's (1996) findings, using a further 60 stimuli. Results from both methodologies highlight the importance of category information and acoustic features, such as root mean square (RMS) power and pitch, in similarity judgements. Results showed that the grouping task is a viable alternative to the pairwise task with N > 20 sounds whilst highlighting subtle differences, such as cluster tightness, between the different task results. The grouping task is more likely to yield category information as underlying similarity judgements

    Programmability of Chemical Reaction Networks

    Get PDF
    Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Stochastic Chemical Reaction Networks (SCRNs), a formal model that considers a set of chemical reactions acting on a finite number of molecules in a well-stirred solution according to standard chemical kinetics equations. SCRNs have been widely used for describing naturally occurring (bio)chemical systems, and with the advent of synthetic biology they become a promising language for the design of artificial biochemical circuits. Our interest here is the computational power of SCRNs and how they relate to more conventional models of computation. We survey known connections and give new connections between SCRNs and Boolean Logic Circuits, Vector Addition Systems, Petri Nets, Gate Implementability, Primitive Recursive Functions, Register Machines, Fractran, and Turing Machines. A theme to these investigations is the thin line between decidable and undecidable questions about SCRN behavior

    What Does Trump Really Want?

    Full text link
    Donald Trump’s 2017 inaugural address was scored with a content analysis measure of implicit motives. The results show that compared to other 20th and 21st century U.S. presidents, he scores very high in achievement and power motive imagery, but only about average in affiliation imagery. Based on previous research on presidents’ motive imagery, this profile suggests some predictions about the Trump presidency and possible problems for it. In political leaders, high achievement motivation often leads to frustration with the political process. Power motivation, while associated with rated greatness, is related to polarization of public opinion and war. The effects of motives are further channel by temperament and traits—in Trump’s case, high extraversion and low agreeableness.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146992/1/asap12154.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146992/2/asap12154_am.pd
    corecore