Aarhus Universitets segl

Publikationer fra Technical Sciences

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


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Stenberg, C., Støttrup, J., Dahl, K. & Møhlenberg, F. (2020). Syntese: Stenrev som gyde- og opvækstområde for fisk. I C. Stenberg & L. D. Kristensen (red.), Stenrev som gyde- og opvækstområde for fisk (Revfisk) (s. 4-15). DTU-Aqua.
Li, J., Ma, Y., Liu, N., Eser, B. E., Guo, Z., Jensen, P. R. & Stephanopolos, G. (2020). Synthesis of high-titer alka(e)nes in Yarrowia lipolytica is enabled by a discovered mechanism. Nature Communications, 11(1), Artikel 6198 . https://doi.org/10.1038/s41467-020-19995-0
Jensen, M. (2020). Tætlantede øko-surkirsebær. Gartner Tidende, 1, 6.
Sørensen, J. N. & Kristensen, H. L. (2020). Tang og grøde som gødning. Gartner Tidende, 136(12), 44-45.
Zhang, Y., Ran, Y., Nagy, I., Lenk, I., Qiu, J. L., Asp, T., Jensen, C. S. & Gao, C. (2020). Targeted mutagenesis in ryegrass (Lolium spp.) using the CRISPR/Cas9 system. Plant Biotechnology Journal, 18(9), 1854-1856. https://doi.org/10.1111/pbi.13359
Barbosa Escobar, F. J., Wang, Q. J., Byrne, D. V., Corredor, A. & Velasco, C. (2020). Tasting visual textures. Poster-session præsenteret på EUROSENSE 2020: 9th European Conference on Sensory and Consumer Research.
Askarpour, M., Aghaei, J., Boudjadar, J. & Niknam, T. (2020). Techno-economic potential gains of electric springs in distribution networks operations. IET Generation, Transmission & Distribution, 14(1 ), 98 - 107. https://doi.org/10.1049/iet-gtd.2019.0440
Baattrup-Pedersen, A., Fejerskov, M. L., Johnsen, T. J. & Larsen, S. E. (2020). Teknisk grundlag for fastsættelse af økologisk potentiale i kunstige og stærkt modificerede vandløb. Aarhus University, DCE - Danish Centre for Environment and Energy. Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi Bind 2020 Nr. 400 http://dce2.au.dk/pub/SR400.pdf
Hassan, N., Anesio, A. M., Rafiq, M., Holtvoeth, J., Bull, I., Haleem, A., Shah, A. A. & Hasan, F. (2020). Temperature Driven Membrane Lipid Adaptation in Glacial Psychrophilic Bacteria. Frontiers in Microbiology, 11, Artikel 824. https://doi.org/10.3389/fmicb.2020.00824
Kutcherov, D., Slotsbo, S., Sigurdsson, B. D., Leblans, N. I. W., Berg, M. P., Ellers, J., Mariën, J. & Holmstrup, M. (2020). Temperature responses in a subarctic springtail from two geothermally warmed habitats. Pedobiologia, 78, Artikel 150606. https://doi.org/10.1016/j.pedobi.2019.150606
Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2020). Temporal Bag-of-Features Learning for Predicting Mid Price Movements using High Frequency Limit Order Book Data. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(6), 774-785. https://doi.org/10.1109/TETCI.2018.2872598
Schwarz, B., Vázquez, D. P., CaraDonna, P. J., Knight, T. M., Benadi, G., Dormann, C. F., Gauzens, B., Motivans, E., Resasco, J., Blüthgen, N., Burkle, L. A., Fang, Q., Kaiser-Bunbury, C. N., Alarcón, R., Bain, J. A., Chacoff, N. P., Huang, S. Q., LeBuhn, G., MacLeod, M. ... Fründ, J. (2020). Temporal scale-dependence of plant–pollinator networks. Oikos, 129(9), 1289-1302. https://doi.org/10.1111/oik.07303
Sun, J., Covaci, A., Bustnes, J. O., Jaspers, V. L. B., Helander, B., Bårdsen, B. J., Boertmann, D. M., Dietz, R., Labansen, A. L., Lepoint, G., Schulz, R., Malarvannan, G., Sonne, C., Thorup, K., Tøttrup, A. P., Zubrod, J. P., Eens, M. & Eulaers, I. (2020). Temporal trends of legacy organochlorines in different white-tailed eagle (Haliaeetus albicilla) subpopulations: A retrospective investigation using archived feathers. Environment International, 138, Artikel 105618. https://doi.org/10.1016/j.envint.2020.105618
Sporbert, M., Keil, P., Seidler, G., Bruelheide, H., Jandt, U., Aćić, S., Biurrun, I., Campos, J. A., Čarni, A., Chytrý, M., Ćušterevska, R., Dengler, J., Golub, V., Jansen, F., Kuzemko, A., Lenoir, J., Marceno, C., Moeslund, J. E., Pérez-Haase, A. ... Welk, E. (2020). Testing macroecological abundance patterns: the relationship between local abundance and range size, range position and climatic suitability among European vascular plants. Journal of Biogeography, 47(10), 2210-2222. https://doi.org/10.1111/jbi.13926
Sommer, W. L. & Iosifidis, A. (2020). Text-To-Image Synthesis Method Evaluation Based on Visual Patterns. I 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (s. 4097-4101). Artikel 9053034 IEEE. https://doi.org/10.1109/ICASSP40776.2020.9053034
Raak, N., Dürrschmid, K. & Rohm, H. (2020). Textural Characteristics of German Foods: The German Würstchen. I K. Nishinari (red.), Textural Characteristics of World Foods (s. 335-351). Wiley. https://doi.org/10.1002/9781119430902.ch23
Navarro, R., Tapia-Galisteo, A., Martín-García, L., Tarín, C., Corbacho, C., Gómez-López, G., Sánchez-Tirado, E., Campuzano, S., González-Cortés, A., Yáñez-Sedeño, P., Compte, M., Álvarez-Vallina, L. & Sanz, L. (2020). TGF-β-induced IGFBP-3 is a key paracrine factor from activated pericytes that promotes colorectal cancer cell migration and invasion. Molecular Oncology, 14(10), 2609-2628. https://doi.org/10.1002/1878-0261.12779
Burapan, S., Kim, M., Paisooksantivatana, Y., Eser, B. E. & Han, J. (2020). Thai Curcuma species: Antioxidant and bioactive compounds. Foods, 9(9), Artikel 1219. https://doi.org/10.3390/foods9091219
Marinoudi, V., Lampridi, M., Sørensen, C. G., Pearson, S. & Bochtis, D. (2020). The agricultural occupations landscape in view of work automation. I Bio-economy and Agri-production: Concepts and Evidence (s. 289-348). Elsevier. https://doi.org/10.1016/B978-0-12-819774-5.00018-7
Zhou, R., Wan, H., Jiang, F., Li, X., Yu, X., Rosenqvist, E. & Ottosen, C. O. (2020). The Alleviation of Photosynthetic Damage in Tomato under Drought and Cold Stress by High CO2 and Melatonin. International Journal of Molecular Sciences , 21(15), 1-12. Artikel 5587. https://doi.org/10.3390/ijms21155587
Ribeiro, D. M., Salama, A. A. K., Vitor, A. C. M., Argüello, A., Moncau, C. T., Santos, E. M., Caja, G., de Oliveira, J. S., Balieiro, J. C. C., Hernández-Castellano, L. E., Zachut, M., Poleti, M. D., Castro, N., Alves, S. P. & Almeida, A. M. (2020). The application of omics in ruminant production: a review in the tropical and sub-tropical animal production context. Journal of Proteomics, 227, Artikel 103905. https://doi.org/10.1016/j.jprot.2020.103905
Esterle, L. & Brown, J. N. A. (2020). The Competence Awareness Window: Knowing what i can and cannot do. I E. El-Araby, S. Tomforde, T. Wood, P. Kumar, C. Raibulet, I. Petri, G. Valentini, P. Nelson & B. Porter (red.), 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (s. 62-63). IEEE. https://doi.org/10.1109/ACSOS-C51401.2020.00031
Malinowska, M., Nagy, I., Wagemaker, C. A. M., Ruud, A. K., Svane, S. F., Thorup-Kristensen, K., Jensen, C. S., Eriksen, B., Krusell, L., Jahoor, A., Jensen, J., Eriksen, L. B. & Asp, T. (2020). The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth. The Plant Genome, 13(3), e20049. Artikel e20049. https://doi.org/10.1002/tpg2.20049