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    Tempelaar, D., Nguyen, Q., & Rienties, B. (2020). Learning Feedback Based on Dispositional Learning Analytics. In M. Virvou, E. Alepis, G. A. Tsihrintzis, & L. C. Jain (Eds.), Machine Learning Paradigms: Advances in Learning Analytics (Vol. 158, pp. 69-89). (Intelligent Systems Reference Library book series; Vol. 158). Cham, Switzerland: Springer.
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    Sabharwal, P. (Photographer). (2019). Facing Reality. Web publication/site, Maastricht: Maastricht University, Faculty of Law. Retrieved from https://www.maastrichtuniversity.nl/blog/2019/03/facing-reality
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    van der Meer, Y. (2019). Life Cycle Sustainability Assessment. In W. Leal Filho, A. Azul , L. Brandli , P. Özuyar, & W. Wall (Eds.), Decent Work and Economic Growth. Encyclopedia of the UN Sustainable Development Goals Springer, Cham. https://doi.org/10.1007/978-3-319-71058-7_18-1
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    Friedrich, M., Beutner, E., Reuvers, H., Smeekes, S., Urbain, J-P., Bader, W., ... Mahieu, E. (2019). Nonparametric estimation and bootstrap inference on trends in atmospheric time series: an application to ethane. (arXiv e-prints; No. 1903.05403). arXiv.org at Cornell University Library.
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    Hoxhaj, R., Vink, M., & Prokic-Breuer, T. (2019). Immigrant naturalisation, employment and occupational status in western Europe. (16 ed.) (Migration Policy Centre). Florence: European University Institute.
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    You, L., von Knobloch, M., Lopez, T., Peschen, V., Radcliffe, S., Koshy Sam, P., ... Brown, J. S. (2019). Including Blood Vasculature into a Game-Theoretic Model of Cancer Dynamics. Games, 10(1), [13]. https://doi.org/10.3390/g10010013
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    Keenan, S. N., Meex, R. C., Lo, J. C. Y., Ryan, A., Nie, S., Montgomery, M. K., & Watt, M. J. (2019). Perilipin 5 Deletion in Hepatocytes Remodels Lipid Metabolism and Causes Hepatic Insulin Resistance in Mice. Diabetes, 68(3), 543-555. https://doi.org/10.2337/db18-0670
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    Grigoriev, A., Hartmann, T. A., Lendl, S., & Woeginger, G. J. (2019). Dispersing Obnoxious Facilities on a Graph. In R. Niedermeier, & C. Paul (Eds.), 36th International Symposium on Theoretical Aspects of Computer Science (Vol. 126, pp. 33:1-33:11). (LIPIcs; Vol. 126). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.STACS.2019.33
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    Turner, L. D., Whitaker, R. M., Allen, S. M., Linden, D. E. J., Tu, K., Li, J., & Towsley, D. (2019). Evidence to support common application switching behaviour on smartphones. Royal Society Open Science, 6(3), 1-9. [190018]. https://doi.org/10.1098/rsos.190018
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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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    Dijkstra, H. (2019). Supporting global governance: A rules-based approach for a post-liberal order? (EU Global Strategy Watch; No. 3). Rome: Istituto Affari Internazionali.
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    Hecq, A., Margaritella, L., & Smeekes, S. (2019). Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure. (arXiv e-prints; No. 1902.10991). arXiv.org at Cornell University Library.
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    de Wit, N. M., den Hoedt, S., Martinez-Martinez, P., Rozemuller, A. J., Mulder, M. T., & de Vries, H. E. (2019). Astrocytic ceramide as possible indicator of neuroinflammation. Journal of Neuroinflammation, 16, [48]. https://doi.org/10.1186/s12974-019-1436-1
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    Loibl, E. (2019). Child trafficking for adoption purposes: A criminological analysis of the illegal adoption market. In J. Winterdyk, & J. Jones (Eds.), The Palgrave international handbook of human trafficking (pp. 1-17). Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-319-63192-9_97-1
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    Larsen, N., de Souza, C. B., Krych, L., Cahu, T. B., Wiese, M., Kot, W., ... Jespersen, L. (2019). Potential of Pectins to Beneficially Modulate the Gut Microbiota Depends on Their Structural Properties. Frontiers in microbiology, 10, 1-13. [223]. https://doi.org/10.3389/fmicb.2019.00223
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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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    Hummels, H., Scholman, I., van Lookeren Campagne, J., & Hage, R. (2019). Verbinding voor maatschappelijke verandering.
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    Kaestner, N., Richter, S. H., Urbanik, S., Kunert, J., Waider, J., Lesch, K-P., ... Sachser, N. (2019). Brain serotonin deficiency affects female aggression. Scientific Reports, 9, [1366]. https://doi.org/10.1038/s41598-018-37613-4
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    Dekker, T. (Photographer). (2019). Democratie tussen regenten en populisten. Web publication/site, Nederlandse Onderzoeksschool Wijsbegeerte.
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    Widdershoven, R. L. A., Wichers, M., Kuppens, P., Hartmann, J. A., Menne-Lothmann, C., Simons, C. J. P., & Bastiaansen, J. A. (2019). Effect of self-monitoring through experience sampling on emotion differentiation in depression. Journal of Affective Disorders, 244, 71-77. https://doi.org/10.1016/j.jad.2018.10.092
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    Klooster, D. C. W., Franklin, S. L., Besseling, R. M. H., Jansen, J. F. A., Caeyenberghs, K., Duprat, R., ... Baeken, C. (2019). Focal application of accelerated iTBS results in global changes in graph measures. Human Brain Mapping, 40(2), 432-450. https://doi.org/10.1002/hbm.24384
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    Stenvers, D. J., Scheer, F. A. J. L., Schrauwen, P., la Fleur, S. E., & Kalsbeek, A. (2019). Circadian clocks and insulin resistance. Nature Reviews Endocrinology, 15(2), 75-89. https://doi.org/10.1038/s41574-018-0122-1
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    Bezhaeva, T., Geelhoed, W. J., Wang, D., Yuan, H., van der Veer, E. P., van Alem, C. M. A., ... Rotmans, J. I. (2019). Contribution of bone marrow-derived cells to in situ engineered tissue capsules in a rat model of chronic kidney disease. Biomaterials, 194, 47-56. https://doi.org/10.1016/j.biomaterials.2018.12.014
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    Bollen-Vandenboorn, A. H. H. (2019). Cursus Belastingrecht, Wegwijzer Pensioen. In Cursus Belastingrecht, Wegwijzer Pensioen (Cursus Belastingrecht). Kluwer.
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    Gerlag, D. M., Safy, M., Maijer, K. I., Tang, M. W., Tas, S. W., Starmans-Kool, M. J. F., ... Tak, P. P. (2019). Effects of B-cell directed therapy on the preclinical stage of rheumatoid arthritis: the PRAIRI study. Annals of the Rheumatic Diseases, 78(2), 179-185. https://doi.org/10.1136/annrheumdis-2017-212763
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    Piccini., R., & Spanakis., G. (2019). Exploring the Context of Recurrent Neural Network based Conversational Agents. In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART (pp. 347-356). SCITEPRESS. https://doi.org/10.5220/0007574203470356
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