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Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., &; Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. Nature Publishing Group.https://doi.org/10.1038/nprot.2014.099 
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Haws, D., Martin del Campo Sanchez, A., Takemura, A., &; Yoshida, R. (2014). Markov degree of the three-state toric homogeneous Markov chain model. Beitrage Zur Algebra Und Geometrie. Springer.https://doi.org/10.1007/s13366-013-0178-y 
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Edelsbrunner, H., &; Parsa, S. (2014). On the computational complexity of betti numbers reductions from matrix rank. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 152–160). Portland, USA: SIAM.https://doi.org/10.1137/1.9781611973402.11 
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Dodis, Y., Pietrzak, K. Z., &; Wichs, D. (2014). Key derivation without entropy waste. In P. Nguyen &; E. Oswald (Eds.) (Vol. 8441, pp. 93–110). Presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Copenhagen, Denmark: Springer.https://doi.org/10.1007/978-3-642-55220-5_6 
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Bellet, A., Habrard, A., Morvant, E., &; Sebban, M. (2014). Learning a priori constrained weighted majority votes. Machine Learning. Springer.https://doi.org/10.1007/s10994-014-5462-z 
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cadek, M., Krcál, M., Matousek, J., Sergeraert, F., Vokínek, L., &; Wagner, U. (2014). Computing all maps into a sphere. Journal of the ACM. ACM.https://doi.org/10.1145/2597629 
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Botella Soler, V., &; Glendinning, P. (2014). Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics.https://doi.org/10.1103/PhysRevE.89.062809 
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Chen, T., Hainzl, C., Pavlovi, N., &; Seiringer, R. (2014). On the well-posedness and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti. Letters in Mathematical Physics. Springer.https://doi.org/10.1007/s11005-014-0693-2 
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