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  1. 27161

    The impact of self-reported burnout and work-related quality of life on nurses' intention to leave the profession during the COVID-19 pandemic: A cross-sectional study by Susan McGrory, John Mallett, Justin MacLochlainn, Jill Manthorpe, Jermaine Ravalier, Heike Schroder, Denise Currie, Patricia Nicholl, Rachel Naylor, Paula McFadden

    Published 2024-11-01
    “…Regression analysis reveale that for WRQoL, lower general wellbeing and job-career satisfaction scores predicted intentions to leave when controlling for demographic variables (p < 0.001). When burnout was added to the regression model, both work-related and client-related burnout were predictive of intentions to leave (p < 0.001). …”
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  2. 27162

    Patient Perception of Ideal Body Weight and the Effect of Body Mass Index by Rozhin Naghshizadian, Amir A. Rahnemai-Azar, Kruthi Kella, Michael M. Weber, Marius L. Calin, Shahida Bibi, Daniel T. Farkas

    Published 2014-01-01
    “…These differences were highly significant (P<0.001, ANOVA). Conclusions. Most patients had an inflated sense of their target ideal body weight. …”
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  3. 27163
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  8. 27168

    Interval Cancers in a Population-Based Screening Program for Colorectal Cancer in Catalonia, Spain by M. Garcia, X. Domènech, C. Vidal, E. Torné, N. Milà, G. Binefa, L. Benito, V. Moreno

    Published 2015-01-01
    “…There was an increase of interval cancers over the four rounds (from 32.4% to 46.0%). When compared with screen-detected cancers, interval cancers were found predominantly in the rectum (OR: 3.66; 95% CI: 1.51–8.88) and at more advanced stages (P=0.025). …”
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  9. 27169

    First fluctuation measurements using an Imaging Neutral Particle Analyzer on DIII-D by K.R. Gage, X.D. Du, W.W. Heidbrink, J. Gonzalez-Martin, D. Liu, A.C. Brown

    Published 2025-01-01
    “…Simulated measurements in the range of pitches that the diagnostic is sensitive to ( $0.5\unicode{x2A7D} \left| \frac{v_{\parallel}}{v} \right| \unicode{x2A7D} 0.75$ ) show the signal is dominated by trapped orbits that pass through magnetic islands near the edge of the plasma. …”
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  10. 27170
  11. 27171

    Experimental study on strength degradation and meso-structural characteristics of saturated sandstone under freeze-thaw cycles by Haotian XIE, Ying XU, Qiangqiang ZHENG, Meilu YU, Shoudong XIE, Chengjie LI

    Published 2024-12-01
    “…In order to investigate the mechanical properties and microstructural degradation patterns of slope rocks subjected to freeze-thaw cycles, this study conducted static compression tests on fully saturated sandstone specimens exposed to varying numbers of freeze-thaw cycles (0、20、40、60、80 cycles). …”
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  12. 27172

    A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

    Published 2025-01-01
    “…The method for determining the ResNet34 classification status based on tracking frame numbers resolved the problem of unreliable single identification of the classification status. …”
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  13. 27173

    Dependence of Water Vapour Adsorption on the Polarity of the Graphene Surfaces of Multi-Wall Carbon Nanotubes by Robert H. Bradley, Aurik Andreu, Kelby Cassity, Susan Osbeck, Rodney Andrews, Mark Meier, Colin Johnston

    Published 2010-12-01
    “…Water adsorption on these hydrophilic graphene surfaces was shown to occur by specific hydrogen bonding and was therefore strongly dependent on the numbers of oxygen-containing polar surface sites. …”
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  19. 27179

    Critical Appraisal of Materials and Methods in Observational Studies Published in Pathology Journals: A Cross-sectional Study by Supriya Siddavatam, BN Kumarguru

    Published 2025-01-01
    “…The resulting data were entered into an Microsoft Excel sheet (2021 version) and analysed statistically by using Stata Software (17.0 version). The Chi-square test was employed to analyse the data and the p-value of <0.05 was considered as statistically significant. …”
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  20. 27180

    Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders by Jirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, Tassapol Singalavanija, Ngamphol Soonthornworasiri, Varis Ruamviboonsuk, Chetan Rao, Rajiv Raman, Andrzej Grzybowski, Mike Schaekermann, Lily H. Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Rory Sayres, Fred Hersch, Richa Tiwari, Yun Liu, Paisan Ruamviboonsuk

    Published 2020-01-01
    “…Along with the prevalence decrease, the sensitivity for both modalities decreased from the first to the second screening (DL: from 95% to 90%, p=0.008; HG: from 74% to 57%, p<0.001). At both the first and second screenings, the rate of false negatives for the DL was a fifth that of HG (0.5-0.6% vs. 2.9-3.2%). …”
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