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

NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps by Palermo, Rose V, Perron, J Taylor, Soderblom, Jason M, Birch, Samuel PD, Hayes, Alexander G, Ashton, Andrew D

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Evaluating the impacts of lease decay on condominiums in Singapore: Bala's table revisited by Aw, Vernice Ming Hui, Yap, Cassandra Pin Xuan, Yap, Jun Hean

“…Additionally, based on our re-calculations of Bala’s Table using a hedonic regression model, leaseholds are valued much less than what the current official Bala’s Table suggests; our regression results suggest a 99-year lease condominium at start will fetch a price that is 16-20% less than its freehold counterpart. …”
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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

Investigation of Synthetic Proteins Produced via Automated Fast-Flow Peptide Synthesis by Cowfer, Amanda Elizabeth

“…This technology enabled fast, reliable access to short peptide chains, with each coupling taking less than 3 minutes in total, significantly decreasing the labor needed to produce these peptides. …”
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Numerical simulations of laser-driven experiments of ion acceleration in stochastic magnetic fields by Moczulski, K, Wen, H, Campbell, T, Scopatz, A, Arrowsmith, C, Bott, A, Sarkar, S, Schekochihin, A, Gregori, G

“…Despite this mechanism being less efficient, the ubiquity of magnetized turbulence in the universe necessitates its consideration. …”

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

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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.

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