Search (3 results, page 1 of 1)

  • × author_ss:"Lu, W."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Jones, L.M.; Wright, K.D.; Jack, A.I.; Friedman, J.P.; Fresco, D.M.; Veinot, T.; Lu, W.; Moore, S.M.: ¬The relationships between health information behavior and neural processing in african americans with prehypertension : color or text (2019) 0.01 
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    Abstract
    Information behavior may enhance hypertension self-management in African Americans. The goal of this substudy was to examine the relationships between measures of self-reported health information behavior and neural measures of health information processing in a sample of 19 prehypertensive African Americans (mean age = 52.5, 52.6% women). We measured (a) health information seeking, sharing, and use (surveys) and (b) neural activity using functional magnetic resonance imaging (fMRI) to assess response to health information videos. We hypothesized that differential activation (comparison of analytic vs. empathic brain activity when watching a specific type of video) would indicate better function in three, distinct cognitive domains: (a) Analytic Network, (b) Default Mode Network (DMN), and (c) ventromedial prefrontal cortex (vmPFC). Scores on the information sharing measure (but not seeking or use) were positively associated with differential activation in the vmPFC (rs = .53, p = .02) and the DMN (rs = .43, p = .06). Our findings correspond with previous work indicating that activation of the DMN and vmPFC is associated with sharing information to persuade others and with behavior change. Although health information is commonly conveyed as detached and analytic in nature, our findings suggest that neural processing of socially and emotionally salient health information is more closely associated with health information sharing.
  2. Lu, W.; Li, X.; Liu, Z.; Cheng, Q.: How do author-selected keywords function semantically in scientific manuscripts? (2019) 0.01 
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    Abstract
    Author-selected keywords have been widely utilized for indexing, information retrieval, bibliometrics and knowledge organization in previous studies. However, few studies exist con-cerning how author-selected keywords function semantically in scientific manuscripts. In this paper, we investigated this problem from the perspective of term function (TF) by devising indica-tors of the diversity and symmetry of keyword term functions in papers, as well as the intensity of individual term functions in papers. The data obtained from the whole Journal of Informetrics(JOI) were manually processed by an annotation scheme of key-word term functions, including "research topic," "research method," "research object," "research area," "data" and "others," based on empirical work in content analysis. The results show, quantitatively, that the diversity of keyword term function de-creases, and the irregularity increases with the number of author-selected keywords in a paper. Moreover, the distribution of the intensity of individual keyword term function indicated that no significant difference exists between the ranking of the five term functions with the increase of the number of author-selected keywords (i.e., "research topic" > "research method" > "research object" > "research area" > "data"). The findings indicate that precise keyword related research must take into account the dis-tinct types of author-selected keywords.
  3. Lu, W.; Ding, H.; Jiang, J.: ¬A document expansion framework for tag-based image retrieval (2018) 0.01 
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    Date
    20. 1.2015 18:30:22

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