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Blumberg, E., Fromme, T., &; Hellmich, F. (2016). Förderung inklusiven Lernens im naturwissenschaftlich-technischen Sachunterricht der Grundschule. Vortrag auf der 4. Jahrestagung der Gesellschaft für Empirische Bildungsforschung (GEBF).
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Schiller, S. (2016). Zur Feinstaubabscheidung aus Holzfeuerungsanlagen mit precoatierten Oberflächenfiltern. Shaker Verlag.
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Lopez Salas, N., Carriazo, D., Gutiérrez, M. C., Ferrer, M. L., Ania, C. O., Rubio, F., Tamayo, A., Fierro, J. L. G., &; del Monte, F. (2016). Tailoring the textural properties of hierarchical porous carbons using deep eutectic solvents. Journal of Materials Chemistry A, 4(23), 9146–9159.https://doi.org/10.1039/c6ta02704k 
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Miller, S., &; Kottmann, B. (2016). Kinder mit Lernschwierigkeiten in der Grundschule. In I. Diehm, M. Kuhn, &; C. Machold (Eds.), Differenz - Ungleichheit - Erziehungswissenschaft (pp. 219–237). Springer VS.https://doi.org/10.1007/978-3-658-10516-7_12 
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Miller, S., &; Kottmann, B. (2016). “Und dann war das auch noch so ein kleines, zartes Persönchen”: Grundschullehrkräfte im Entscheidungsdilemma zwischen Fördern und Selektieren. In B. Amrhein (Ed.), Diagnostik im Kontext inklusive Bildung  (pp. 154–167). Klinkhardt.
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Kottmann, B., &; Miller, S. (2016). Selektion inklusive?! Widersprüche bei der umsetzung von Inklusion in der Schule. In T. Burger &; N. Miceli (Eds.), Empirische Forschung im Kontext Schule (pp. 141–160). Springer VS.https://doi.org/10.1007/978-3-658-15437-0 
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Schleich, W. P., Ranade, K. S., Anton, C., Arndt, M., Aspelmeyer, M., Bayer, M., Berg, G., Calarco, T., Fuchs, H., Giacobino, E., Grassl, M., Hänggi, P., Heckl, W. M., Hertel, I.-V., Huelga, S., Jelezko, F., Keimer, B., Kotthaus, J. P., Leuchs, G.,https://doi.org/10.1007/s00340-016-6353-8__Zoller, P. (2016). Quantum technology: from research to application. Applied Physics B, 122(5), Article 130.https://doi.org/10.1007/s00340-016-6353-8 
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Szemendera, L., Darré, P., Baudoin, R., Grossard, L., Delage, L., Herrmann, H., Silberhorn, C., &; Reynaud, F. (2016). In-lab ALOHA mid-infrared up-conversion interferometer with high fringe contrast @;b = 3.39 ;cm. Monthly Notices of the Royal Astronomical Society, 457(3), 3115–3118.https://doi.org/10.1093/mnras/stw196 
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Harder, G., Silberhorn, C., Rehacek, J., Hradil, Z., Motka, L., Stoklasa, B., &; Sánchez-Soto, L. L. (2016). Local Sampling of the Wigner Function at Telecom Wavelength with Loss-Tolerant Detection of Photon Statistics. Physical Review Letters, 116(13), Article 133601.https://doi.org/10.1103/physrevlett.116.133601 
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Huang, L., Xiao, Y.-H., Liu, K., So, H. C., &; Zhang, J.-K. (2016). Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array. IEEE Transactions on Vehicular Technology, 65(5), 3018–3032.
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Tong, J., Schreier, P. J., Guo, Q., Tong, S., Xi, J., &; Yu, Y. (2016). Shrinkage of covariance matrices for linear signal estimation using cross-validation. IEEE Trans. Signal Process., 64(11), 2965–2975.
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Stein, M., Barbé, K., &; Nossek, J. A. (2016). DOA parameter estimation with 1-bit quantization - Bounds, methods and the exponential replacement. Proc. ITG Int. Work. Smart Ant.
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Zhang, L., Stein, M., &; Nossek, J. A. (2016). Asymptotic performance analysis for $-bit Bayesian smoothing. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Stein, M., Bar, S., Nossek, J. A., &; Tabrikian, J. (2016). Performance analysis for pilot-based $-bit channel estimation with unknown quantization threshold. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Tong, J., Guo, Q., Xi, J., Yu, Y., &; Schreier, P. J. (2016). Choosing the diagonal loading factor for linear signal estimation using cross validation. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Jurrus, E., Hodas, N., Baker, N., Marrinan, T., &; Hoover, M. D. (2016). Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis. Technologies for Homeland Security (HST), 2016 IEEE Symposium On, 1–6.https://doi.org/10.1109/THS.2016.7568959 
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Xiao, Y.-. H., Huang, L., Xie, J., &; H. C. So,  and. (2016). Accurate Asymptotic Analysis for Johns Test in Multichannel Signal Detection. Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 4358–4362.
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Song, Y., Schreier, P. J., Ramírez, D., &; Hasija, T. (2016). Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process., 128, 449–458.
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Hasija, T., Song, Y., Schreier, P. J., &; Ramírez, D. (2016). Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. Proc. IEEE Work. Stat. Signal Process.
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