Aarhus Universitets segl

Publikationer

Følg med i de senest publicerede videnskabelige artikler fra Faculty of Natural Sciences. Oversigten viser fakultetets publikationer med de nyeste øverst.

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Zhirnov, A., Nam, E., Badun, G., Romanyuk, A., Ezhov, A., Melik-Nubarov, N. & Grozdova, I. (2018). Molecular Targets of the Hydrophobic Block of Pluronics in Cells: a Photo Affinity Labelling Approach. Pharmaceutical Research, 35(11), Artikel 205. https://doi.org/10.1007/s11095-018-2484-4
Clarkson, B. & Sorrell, B. K. (2018). Monitoring Wetland Condition in New Zealand. I J. Dorney, R. Savage, R. Tiner & P. Adamus (red.), Wetland and Stream Rapid Assessment: Development, Validation, and Application (s. 511-520). Academic Press. https://doi.org/10.1016/C2015-0-04082-5
Du, J. J., Lai, F., Váradi, L., Williams, P. A., Groundwater, P. W., Platts, J. A., Hibbs, D. E. & Overgaard, J. (2018). Monoclinic paracetamol vs. Paracetamol-4,4 -bipyridine co-crystal; what is the difference? a charge density study. Crystals, 8(1), 1-16. Artikel 46. https://doi.org/10.3390/cryst8010046
Kühnel, M., Petersen, S. V., Hviid, R., Overgaard, M. H., Laursen, B. W. & Nørgaard, K. (2018). Monolayered Graphene Oxide as a Low Contact Resistance Protection Layer in Alkanethiol Solid-State Devices. The Journal of Physical Chemistry Part C, 122(18), 9731-9737. https://doi.org/10.1021/acs.jpcc.7b12606
Baum, C., Damgård, I., Lyubashevsky, V., Oechsner, S. & Peikert, C. (2018). More Efficient Commitments from Structured Lattice Assumptions. I D. Catalano & R. De Prisco (red.), Security and Cryptography for Networks - 11th International Conference, SCN 2018, Proceedings (Bind 11035, s. 368-385). Springer VS. https://doi.org/10.1007/978-3-319-98113-0_20
Mendes, A. C., Sevilla Moreno, J., Hanif, M., E L Douglas, T., Chen, M. & Chronakis, I. S. (2018). Morphological, Mechanical and Mucoadhesive Properties of Electrospun Chitosan/Phospholipid Hybrid Nanofibers. International Journal of Molecular Sciences , 19(8), Artikel 2266. https://doi.org/10.3390/ijms19082266
Zhang, N., Rao, R. S. P., Salvato, F., Havelund, J. F., Møller, I. M., Thelen, J. J. & Xu, D. (2018). MU-LOC: A machine-learning method for predicting mitochondrially localized proteins in plants. Frontiers in Plant Science, 9, Artikel 634. https://doi.org/10.3389/fpls.2018.00634
Mueller, B., Gay, D. W., Heger, A., Tauris, T. M. & Sim, S. A. (2018). Multidimensional simulations of ultrastripped supernovae to shock breakout. Monthly Notices of the Royal Astronomical Society, 479(3), 3675-3689. https://doi.org/10.1093/mnras/sty1683
Yang, S., Li, Z., Wang, Y., Fang, X., Miao, Z., Hu, Y., Li, Z., Sun, Y., Besenhacher, F. & Yu, M. (2018). Multifunctional Bi@PPy-PEG Core-Shell Nanohybrids for Dual-Modal Imaging and Photothermal Therapy. A C S Applied Materials and Interfaces, 10(2), 1605-1615. https://doi.org/10.1021/acsami.7b17838
Icecube Collaboration, Fermi-LAT collaboration, MAGIC Collaboration, AGILE, ASAS-SN, HAWC, H.E.S.S., INTEGRAL, Kanata, Kiso, and Subaru observing teams, Kapteyn, Liverpool telescope, Swift/NuSTAR, VERITAS & VLA/17B-403 team (2018). Multimessenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A. Science, 361(6398), Artikel eaat1378. https://doi.org/10.1126/science.aat1378
Hou, Y., Lautrup, S., Cordonnier, S., Wang, Y., Croteau, D. L., Zavala, E., Zhang, Y., Moritoh, K., O'Connell, J. F., Baptiste, B. A., Stevnsner, T. V., Mattson, M. P. & Bohr, V. A. (2018). NAD+ supplementation normalizes key Alzheimer's features and DNA damage responses in a new AD mouse model with introduced DNA repair deficiency. Proceedings of the National Academy of Sciences (PNAS), 115(8), E1876-E1885. https://doi.org/10.1073/pnas.1718819115
Casasayas-Barris, N., Palle, E., Yan, F., Chen, G., Albrecht, S., Nortmann, L., Van Eylen, V., Snellen, I., Talens, G. J. J., Gonzalez Hernandez, J. I., Rebolo, R. & Otten, G. P. P. L. (2018). Na I and H alpha absorption features in the atmosphere of MASCARA-2b/KELT-20b. Astronomy & Astrophysics (A&A), 616, Artikel 151. https://doi.org/10.1051/0004-6361/201832963
Nielsen, K. H. (2018). Nano. Weekendavisen, Sektion 4 (Ideer), 10.
Chaturvedi, S., Singh, S. K., Shyam, P., Shirolkar, M. M., Krishna, S., Boomishankar, R. & Ogale, S. (2018). Nanoscale LuFeO3: Shape dependent ortho/hexa-phase constitution and nanogenerator application. Nanoscale, 10(45), 21406-21413. https://doi.org/10.1039/c8nr07825d
Pedersen, V. K. (2018). Når Jorden ryster bjerge. Weekendavisen, 10.
Voutchkova, D. D., Hansen, B., Ernstsen, V. & Kristiansen, S. M. (2018). Nationwide drinking water sampling campaign for exposure assessments in Denmark. International Journal of Environmental Research and Public Health, 15(3), Artikel 467. https://doi.org/10.3390/ijerph15030467
Schumer, M., Xu, C., Powell, D. L., Durvasula, A., Skov, L., Holland, C., Blazier, J. C., Sankararaman, S., Andolfatto, P., Rosenthal, G. G. & Przeworski, M. (2018). Natural selection interacts with recombination to shape the evolution of hybrid genomes. Science, 360(6389), 656-660. https://doi.org/10.1126/science.aar3684
Van Meerbeek, K., Hermy, M. & Muys, B. (2018). Nature conservation and bioenergy production-a response to Kallimanis. Frontiers in Ecology and the Environment, 16(2), 75-76. https://doi.org/10.1002/fee.1768
Diamond, T. R., Hoeflich, P., Hsiao, E. Y., Sonneborn, G., Phillips, M. M., Hristov, B., Collins, D. C., Ashall, C., Marion, G. H., Stritzinger, M., Morrell, N., Gerardy, C. L. & Penney, R. B. (2018). Near-infrared Spectral Evolution of the Type Ia Supernova 2014J in the Nebular Phase: Implications for the Progenitor System. The Astrophysical Journal, 861(2), 119. Artikel 119. https://doi.org/10.3847/1538-4357/aac434
Castellano, D., James, J. & Eyre-Walker, A. (2018). Nearly Neutral Evolution across the Drosophila melanogaster Genome. Molecular Biology and Evolution, 35(11), 2685-2694. https://doi.org/10.1093/molbev/msy164
Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2018). NetLSD: Hearing the Shape of a Graph. I Y. Guo & F. Farooq (red.), KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (s. 2347-2356). Association for Computing Machinery. https://doi.org/10.1145/3219819.3219991