17 research outputs found

    Student\u27s Perception of Teacher Immediacy Behaviors on Student Success and Retention

    Get PDF
    This investigation tested the relationship and the fit for a causal model between both verbal and nonverbal teacher immediacy behaviors in the classroom and affective learning, cognitive learning, and student success and retention. Data was collected from two distinct populations, a large Midwestern university and a Midwestern community college. Results indicate that both verbal and nonverbal teacher immediacy behaviors independently predict or cause a level of affective learning and cognitive learning, and affective learning predicts or causes cognitive learning, further supporting that path model. Practical implications of these findings are discussed and recommendations for areas of future research development are advanced

    Comparing Communication Doctoral Programs, Alumni, and Faculty: The Use of Google Scholar

    Get PDF
    This paper examines three aspects of doctoral programs in Communication: (a) how doctoral department faculty compare using combined citations to published work using Google Scholar, (b) the contribution in quantity and quality (measured by citations) of alumni teaching in doctoral programs, and (c) identifying the top 25 most cited communication doctoral faculty in Google Scholar. The goal is to provide a series of additional alternatives for faculty and program evaluation beyond simply counting the number of published journal articles

    Correlation between Circulating Fungal Biomarkers and Clinical Outcome in Invasive Aspergillosis

    No full text
    Objective means are needed to predict and assess clinical response in patients treated for invasive aspergillosis (IA). We examined whether early changes in serum galactomannan (GM) and/or β-D-glucan (BDG) can predict clinical outcomes. Patients with proven or probable IA were prospectively enrolled, and serial GM and BDG levels and GM optical density indices (GMI) were calculated twice weekly for 6 weeks following initiation of standard-of-care antifungal therapy. Changes in these biomarkers during the first 2 and 6 weeks of treatment were analyzed for associations with clinical response and survival at weeks 6 and 12. Among 47 patients with IA, 53.2% (25/47) and 65.9% (27/41) had clinical response by weeks 6 and 12, respectively. Changes in biomarkers during the first 2 weeks were associated with clinical response at 6 weeks (GMI, P = 0.03) and 12 weeks (GM+BDG composite, P = 0.05; GM, P = 0.04; GMI, P = 0.02). Changes in biomarkers during the first 6 weeks were also associated with clinical response at 6 weeks (GM, P = 0.05; GMI, P = 0.03) and 12 weeks (BDG+GM, P = 0.02; GM, P = 0.02; GMI, P = 0.01). Overall survival rates at 6 weeks and 12 weeks were 87.2% (41/47) and 79.1% (34/43), respectively. Decreasing biomarkers in the first 2 weeks were associated with survival at 6 weeks (BDG+GM, P = 0.03; BDG, P = 0.01; GM, P = 0.03) and at 12 weeks (BDG+GM, P = 0.01; BDG, P = 0.03; GM, P = 0.01; GMI, P = 0.007). Similar correlations occurred for biomarkers measured over 6 weeks. Patients with negative baseline GMI and/or persistently negative GMI during the first 2 weeks were more likely to have CR and survival. These results suggest that changes of biomarkers may be informative to predict and/or assess response to therapy and survival in patients treated for IA.status: publishe

    (a) Mean Z-scores for the time-weighted averages of galactomannan and beta-D-glucan composite values, and (b) time-weighted averages for beta-D-glucan values, galactomannan values, and galactomannan optical density index, in responders vs non-responders at week 6 and week 12.

    No full text
    <p>GM: Galactomannan, BDG: Beta-D-Glucan, GMI: Galactomannan Optical Density Index, W: Week, R: Responder, NR: Non-responder, N: Number, CI: Confidence Interval.</p><p><sup><b>a</b></sup> Some patients did not have data available for both biomarkers throughout the study; therefore, the numbers of patients with BDG, GM and/or GMI at weeks 2 and 6 differ from the total number of patients in the BDG and GM column.</p><p>(a) Mean Z-scores for the time-weighted averages of galactomannan and beta-D-glucan composite values, and (b) time-weighted averages for beta-D-glucan values, galactomannan values, and galactomannan optical density index, in responders vs non-responders at week 6 and week 12.</p

    Association of galactomannan assay optical density index (GMI) as a dichotomous variable (positive [GMI ≥ 0.5] vs negative) between baseline and week 2 of treatment with clinical response and survival at 6 and 12 weeks.

    No full text
    <p>GMI: Galactomannan Optical Density Index, OR: Odds Ratio, CI: Confidence Interval</p><p><sup>a</sup> Clinical response: complete or partial response, as described in Methods [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0129022#pone.0129022.ref005" target="_blank">5</a>].</p><p><sup>b</sup> Only one patient had positive GMI at baseline and negative GMI by week 2, so this category (+/-) was not included in the analysis.</p><p><sup>c</sup> Due to low number of observations, there was lack of model convergence and no results were generated.</p><p>Association of galactomannan assay optical density index (GMI) as a dichotomous variable (positive [GMI ≥ 0.5] vs negative) between baseline and week 2 of treatment with clinical response and survival at 6 and 12 weeks.</p

    Correlation between Circulating Fungal Biomarkers and Clinical Outcome in Invasive Aspergillosis

    No full text
    <div><p>Objective means are needed to predict and assess clinical response in patients treated for invasive aspergillosis (IA). We examined whether early changes in serum galactomannan (GM) and/or β-D-glucan (BDG) can predict clinical outcomes. Patients with proven or probable IA were prospectively enrolled, and serial GM and BDG levels and GM optical density indices (GMI) were calculated twice weekly for 6 weeks following initiation of standard-of-care antifungal therapy. Changes in these biomarkers during the first 2 and 6 weeks of treatment were analyzed for associations with clinical response and survival at weeks 6 and 12. Among 47 patients with IA, 53.2% (25/47) and 65.9% (27/41) had clinical response by weeks 6 and 12, respectively. Changes in biomarkers during the first 2 weeks were associated with clinical response at 6 weeks (GMI, <i>P</i> = 0.03) and 12 weeks (GM+BDG composite, <i>P</i> = 0.05; GM, <i>P</i> = 0.04; GMI, <i>P</i> = 0.02). Changes in biomarkers during the first 6 weeks were also associated with clinical response at 6 weeks (GM, <i>P</i> = 0.05; GMI, <i>P</i> = 0.03) and 12 weeks (BDG+GM, <i>P</i> = 0.02; GM, <i>P</i> = 0.02; GMI, <i>P</i> = 0.01). Overall survival rates at 6 weeks and 12 weeks were 87.2% (41/47) and 79.1% (34/43), respectively. Decreasing biomarkers in the first 2 weeks were associated with survival at 6 weeks (BDG+GM, <i>P</i> = 0.03; BDG, <i>P</i> = 0.01; GM, <i>P</i> = 0.03) and at 12 weeks (BDG+GM, <i>P</i> = 0.01; BDG, <i>P</i> = 0.03; GM, <i>P</i> = 0.01; GMI, <i>P</i> = 0.007). Similar correlations occurred for biomarkers measured over 6 weeks. Patients with negative baseline GMI and/or persistently negative GMI during the first 2 weeks were more likely to have CR and survival. These results suggest that changes of biomarkers may be informative to predict and/or assess response to therapy and survival in patients treated for IA.</p></div

    Patient baseline characteristics.

    No full text
    <p>IA: Invasive Aspergillosis, GMI: Galactomannan Optical Density Index, BDG: β-D-glucan.</p><p><sup>a</sup>Underlying disease, comorbidities, and microbiologic diagnostic tests were not mutually exclusive.</p><p><sup>b</sup>Administration of corticosteroids (0.3 mg/kg/day of prednisone equivalent) for a minimum of 3 weeks prior to enrollment.</p><p><sup>c</sup>Four patients with proven IA had a positive culture for <i>Aspergillus</i> species: 3 from normally sterile sites and 1 from a sputum/bronchoalveolar lavage culture.</p><p><sup>d</sup>Patients with positive GM and BDG as tested at the institutions they were enrolled at are included in this Table. Some of them had negative GM and BDG when tested at the central laboratory for the purposes of this study.</p><p><sup>e</sup>One patient had both sinusitis and lower tract respiratory involvement.</p><p><sup>f</sup>Six and 2 patients were treated with liposomal amphotericin B and amphotericin B deoxycholate, respectively.</p><p><sup>g</sup>One patient was treated with fluconazole alone and the other patient received blinded treatment with a mould acting agent as part of a clinical trial.</p><p><sup>h</sup>Patients received more than one agent concomitantly: echinocandin and voriconazole (n = 2), echinocandin and amphotericin B deoxycholate (n = 1), and voriconazole and amphotericin B deoxycholate (n = 1).</p><p>Patient baseline characteristics.</p
    corecore