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Results: 57,944
Number of items: 57,944
  • Open Access
    Kanoulas, E., Li, D., Azzopardi, L., & Spijker, R. (2019). CLEF 2019 technology assisted reviews in empirical medicine overview. In L. Cappellato, N. Ferro, D. E. Losada, & H. Müller (Eds.), Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum: Lugano, Switzerland, September 9-12, 2019 Article 250 (CEUR Workshop Proceedings; Vol. 2380). CEUR-WS. http://ceur-ws.org/Vol-2380/paper_250.pdf
  • Open Access
    Gao, S., Zhang, T., Jin, L., Liang, D., Fan, G., Song, Y., Lucassen, P. J., Yu, R., & Swaab, D. F. (2019). CAPON Is a Critical Protein in Synaptic Molecular Networks in the Prefrontal Cortex of Mood Disorder Patients and Contributes to Depression-Like Behavior in a Mouse Model. Cerebral Cortex, 29(9), 3752–3765. https://doi.org/10.1093/cercor/bhy254
  • Open Access
    Leonandya, R., Hupkes, D., Bruni, E., & Kruszewski, G. (2019). The Fast and the Flexible: training neural networks to learn to follow instructions from small data. In S. Dobnik, S. Chatzikyriakidis, & V. Demberg (Eds.), Proceedings of the 13th International Conference on Computational Semantics - Long Papers: IWCS 2019 : 23-27 May, 2019, University of Gothenburg, Gothenburg, Sweden (pp. 223-234). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-0419
  • Open Access
    Pucheta, J., Salas, C., Herrera, M., Rodriguez Rivero, C. R., & Alasino, G. (2019). Short and Long-Term Time Series Forecasting Stochastic Analysis for Slow Dynamic Processes. Applied Mathematics, 10(8), 704-717. https://doi.org/10.4236/am.2019.108050
  • Open Access
    Decin, L., Homan, W., Danilovich, T., de Koter, A., Engels, D., Waters, L. B. F. M., Muller, S., Gielen, C., García-Hernández, D. A., Stancliffe, R. J., Van de Sande, M., Molenberghs, G., Kerschbaum, F., Zijlstra, A. A., & El Mellah, I. (2019). Reduction of the maximum mass-loss rate of OH/IR stars due to unnoticed binary interaction. Nature Astronomy, 3(5), 408-415. https://doi.org/10.1038/s41550-019-0703-5
  • Open Access
    Vreede, J., Pérez de Alba Ortíz, A., Bolhuis, P. G., & Swenson, D. W. H. (2019). Atomistic insight into the kinetic pathways for Watson-Crick to Hoogsteen transitions in DNA. Nucleic Acids Research, 47(21), 11069-11076. https://doi.org/10.1093/nar/gkz837
  • Open Access
    Rowlinson, A., Stewart, A. J., Broderick, J. W., Swinbank, J. D., Wijers, R. A. M. J., Carbone, D., Cendes, Y., Fender, R., van der Horst, A., Molenaar, G., Scheers, B., Staley, T., Farrell, S., Grießmeier, J. M., Bell, M., Eislöffel, J., Law, C. J., van Leeuwen, J., & Zarka, P. (2019). Identifying transient and variable sources in radio images. Astronomy and Computing, 27, 111-129. https://doi.org/10.1016/j.ascom.2019.03.003
  • Open Access
    Marcote, B., Nimmo, K., Salafia, O. S., Paragi, Z., Hessels, J. W. T., Petroff, E., & Karuppusamy, R. (2019). Resolving the Decades-long Transient FIRST J141918.9+394036: An Orphan Long Gamma-Ray Burst or a Young Magnetar Nebula? Astrophysical Journal Letters, 876(1), Article L14. https://doi.org/10.3847/2041-8213/ab1aad
  • Open Access
    H.E.S.S. Collaboration, Abdalla, H., Berge, D., Bryan, M., Prokhorov, D. A., Prokoph, H., Simoni, R., & Vink, J. (2019). Particle transport within the pulsar wind nebula HESS J1825-137. Astronomy & Astrophysics, 621, Article A116. https://doi.org/10.1051/0004-6361/201834335
  • Open Access
    Larsson, E., Zafari, A., Righero, M., Francavilla, M. A., Giordanengo, G., Vipiana, F., Vecchi, G., Kessler, C., Ancourt, C., & Grelck, C. (2019). Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems. In J. Kołodziej, & H. González-Vélez (Eds.), High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet (pp. 36-68). (Lecture Notes in Computer Science; Vol. 11400). Springer Open. https://doi.org/10.1007/978-3-030-16272-6_2
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