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Showing 1 - 5 results of 5 for search '((itch OR fitch) OR ((((wffitch OR wffwitch) OR witc) OR swppitch) OR pwwatch)) lewis~', query time: 1.06s 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
    Essays on the market for corporate bonds

    Essays on the market for corporate bonds by Levonmaa, A

    Published 2017
    “…The results show that the bond market responds to news on credit quality asymmetrically: credit rating downgrades, representing bad news for bond holders, produce the strongest response in returns, whilst upgrades do not generate a statistically significant increase in returns. …”
    Thesis
  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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