264 research outputs found

    How IT Continuing Education Has Transformed Our Library

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    Excerpt: Having the skills and knowledge to adequately respond to technology-based information demands has never been more important. When the library at East Tennessee State University was opened in 1999, it was the first new academic building that had been constructed on the campus in a number of years

    Automatic Assessment of Library Resources Utilizing LibGuides

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    Evaluating an In-School Drug Prevention Program for At-Risk Youth

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    This study assessed an in-school program aimed at preventing or reducing drug use and other deviant behavior in a sample of 167 at-risk youth in their transition years. Over 10 weeks, 17 one-hour sessions were offered to youth who were identified using a self-report questionnaire (at 9 schools with 12 control sites in Ontario, Canada). Repeated measures analysis of covariance was used to assess program impact at posttest and six-month followup. Program participants, compared with the control group, reported less frequent drinking

    Changes in characteristics and case-severity in patients hospitalised with influenza A (H1N1) pdm09 infection between two epidemic waves-England, 2009-2010.

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    BACKGROUND: During 2009-2010, pandemic influenza A (H1N1) pdm09 virus (pH1N1) infections in England occurred in two epidemic waves. Reasons for a reported increase in case-severity during the second wave are unclear. METHODS: We analysed hospital-based surveillance for patients with pH1N1 infections in England during 2009-2010 and linked national data sets to estimate ethnicity, socio-economic status and death within 28 days of admission. We used multivariable logistic regression to assess whether changes in demographic, clinical and management characteristics of patients could explain an increase in ICU admission or death, and accounted for missing values using multiple imputation. RESULTS: During the first wave, 54/960 (6%) hospitalised patients required intensive care and 21/960 (2%) died; during the second wave 143/1420 (10%) required intensive care and 55/1420 (4%) died. In a multivariable model, during the second wave patients were less likely to be from an ethnic minority (OR 0.33, 95% CI 0.26-0.42), have an elevated deprivation score (OR 0.75, 95% CI 0.68-0.83), have known comorbidity (OR 0.78, 95% CI 0.63-0.97) or receive antiviral therapy ≤2 days before onset (OR 0.72, 95% CI 0.56-0.92). Increased case-severity during the second wave was not explained by changes in demographic, clinical or management characteristics. CONCLUSIONS: Monitoring changes in patient characteristics could help target interventions during multiple waves of COVID-19 or a future influenza pandemic. To understand and respond to changes in case-severity, surveillance is needed that includes additional factors such as admission thresholds and seasonal coinfections

    The processing of formulaic language

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    It is generally accepted that we store representations of individual words in our mental lexicon. There is growing agreement that the lexicon also contains formulaic language (How are you? kick the bucket). In fact, there are compelling reasons to think that the brain represents formulaic sequences in long-term memory, bypassing the need to compose them online through word selection and grammatical sequencing in capacity-limited working memory. The research surveyed in this chapter strongly supports the position that there is an advantage in the way that native speakers process formulaic language compared to nonformulaic language. This advantage extends to the access and use of different types of formulaic language, including idioms, binomials, collocations, and lexical bundles. However, the evidence is mixed for nonnative speakers. While very proficient nonnatives sometimes exhibit processing advantages similar to natives, less proficient learners often have been shown to process formulaic language in a word-by-word manner similar to nonformulaic language. Furthermore, if the formulaic language is idiomatic (where the meaning cannot be understood from the component words), the figurative meanings can be much more difficult to process for nonnatives than nonidiomatic, nonformulaic language

    Phylogeography of six codistributed New Zealand cicadas and their relationship to multiple biogeographical boundaries suggest a re-evaluation of the Taupo Line

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    Comparative biogeographers question the extent to which codistributed species respond similarly to environmental change. Such responses should create similar, appropriately timed patterns of cladogenesis among codistributed taxa compared to evolutionary independence, which may limit the predictions that can be made for unstudied species. Here, we compare phylogeographical patterns across ecologically divergent, codistributed taxa in the light of New Zealand's palaeohistory. Location: North Island, New Zealand. Methods: Mitochondrial DNA from six codistributed cicada species (Kikihia ochrina, K. cutora, K. laneorum, K. cauta, K. scutellaris and K. dugdalei) was analysed using phylogenetic methods and molecular dating techniques. We analysed phylogeographical distributions using analysis of molecular variance (AMOVA) to determine the significance of hypothesized biogeographical boundaries for clade differentiation and spatial distribution of genetic diversity. Results: Five species (Kikihia ochrina, K. cutora, K. laneorum, K. cauta and K. scutellaris) show various degrees of intraspecific concordance with biogeographical boundaries found in previously studied taxa - the Kauri Line, the Northland Line and the newly identified Cockayne's Line. Clade splits of forest species correlate with the Kauri Line and/or Northland Line, whereas splits of scrub/hill species correlate with Cockayne's Line. Four species (Kikihia ochrina, K. cutora, K. laneorum and K. cauta) diversified before the Last Glacial Maximum (LGM, 20 ka), whereas two species (K. scutellaris and K. dugdalei) show only post-LGM diversification. Main conclusions: Despite species idiosyncrasies, we see the imprint of shared palaeoclimatic/geological events. We distinguish between (1) the importance of biogeographical lines as the demarcation between older genetically diverse and newer genetically depauperate populations, and (2) the importance of lines as biogeographical boundaries between sister clades. We also stress the importance of dating clade splits to ensure consistency with explanations for the biogeographical lines in question. We suggest that the Taupo Line has been overemphasized as a biogeographical boundary, whereas the importance of the mountain axis running north-east to south-west ('Cockayne's Line') has been overlooked
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