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Showing 1 - 5 results of 5 for search '((mitch OR ((itch OR fwfitch) OR (pwfpitch OR pwpitch))) OR (pfitch OR (plitch OR plwitch))) lewis~', query time: 1.20s Refine Results
  1. 1
    The five-year itch: motivational factors that influence the career decisions of early career teachers in England

    The five-year itch: motivational factors that influence the career decisions of early career teachers in England by Procter-Legg, T, Snell, R, Klassen, R

    Published 2025
    Journal article
  2. 2
    DNA-damage orchestrates self-renewal and differentiation via reciprocal p53 family and Hippo/Wnt/TGF-β pathway activation in embryonic stem cells

    DNA-damage orchestrates self-renewal and differentiation via reciprocal p53 family and Hippo/Wnt/TGF-β pathway activation in embryonic stem cells by Ye, Y, Xie, W, Wang, X, Tan, S, Yang, L, Ma, Z, Zhu, Z, Chen, X, Liu, X, O’Neill, E, Chang, L, Zhang, W

    Published 2025
    Journal article
  3. 3
    What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future

    What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future by Graeff, Erhardt

    Published 2020
    “…And nearer the subject of this paper, the legality of search engine bots (web crawlers) has been openly questioned on grounds of intellectual property protection and trespassing (Plitch 2002). Bots inspire fear because they represent the loss of control. …”
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    Presentation
  4. 4
    The HOME Core outcome set for clinical trials of atopic dermatitis

    The HOME Core outcome set for clinical trials of atopic dermatitis by Williams, Hywel C., Schmitt, Jochen, Thomas, Kim S., Spuls, Phyllis I., Simpson, Eric L., Apfelbacher, Christian, Chalmers, Joanne R., Furue, Masutaka, Katoh, Norito, Gerbens, Louise A. A., Leshem, Yael A., Howells, Laura, Singh, Jasvinder A., Boers, Maarten

    Published 2022
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    Journal Article
  5. 5
    An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

    An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., Hart, Leen M. 't, van de Wiel, Mark A., Beulens, Joline W. J.

    Published 2024
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    Journal Article

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