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    Olesti, E., De Toma, I., Ramaekers, J. G., Brunt, T. M., Carbó, M. L., Fernández-Avilés, C., ... de la Torre, R. (2019). Metabolomics predicts the pharmacological profile of new psychoactive substances. Journal of Psychopharmacology, 33(3), 347-354. https://doi.org/10.1177/0269881118812103
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    Naina, N. (2019). Patent Quality in the European Pharmaceutical Industry. 8. Poster session presented at Mid-Term Review Meeting of EIPIN-Innovation Society with the European Commission, Brussels, Belgium.
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    Zoellner, S., Benner, J., Zeidler, B., Seither-Preisler, A., Christiner, M., Seitz, A., ... Schneider, P. (2019). Reduced cortical thickness in Heschl's gyrus as an in vivo marker for human primary auditory cortex. Human Brain Mapping, 40(4), 1139-1154. https://doi.org/10.1002/hbm.24434
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    Qi, S., De Haas, R., Ongena, S., & Straetmans, S. (2019). Move a Little Closer? Information Sharing and the Spatial Clustering of Bank Branches. (GSBE Research Memoranda; No. 006). GSBE.
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    Gialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., ... Schulte-Körne, G. (2019). Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia. Translational Psychiatry, 9(1), [77]. https://doi.org/10.1038/s41398-019-0402-0
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    Jansen, O. J. D. M. L. (2019). Internationaal bestuursrecht weer voor het voetlicht. In W. den Ouden, T. Barkhuysen, B. Marseille, R. Schlössels, & H. Peters (Eds.), 25 jaar Awb: In eenheid en verscheidenheid (pp. 425-439). Deventer: Wolters Kluwer.
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    Beutner, E., Heinemann, A., & Smeekes, S. (2019). A General Framework for Prediction in Time Series Models. (arXiv e-prints; No. 1902.01622). arXiv.org at Cornell University Library.
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