Faculty of Technical Sciences

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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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Olesen, J. E. & Schou, J. S. (2019). Miljøet på vej mod bedring - nu truer klimaet. Tidsskrift for landøkonomi, 205(Festskrift Det Kgl. Danske Landhusholdningsselskab ), 178-186.
Larsen, M. M. (2019). Miljøfarlige stoffer i biota og sediment. I J. W. Hansen & S. Høgslund (red.), Marine områder 2018: NOVANA (s. 101-115). Aarhus Universitet. https://dce2.au.dk/pub/SR355.pdf
Alstrup, A. K. O., Dietz, R. & Sonne, C. (2019). Miljøfremmede stoffer truer tandhvalernes overlevelse. Habitat, 19, 40-49.
Olesen, J. E., (2019). Miljø- og klimaforbedringer ved omlægning til frugttræer, Nr. 2019-0029887, 2 s., dec. 19, 2019.
Andersen, M. S., Frohn, L. M. & Brandt, J., (2019). Miljøøkonomiske beregningspriser for emissioner 3.0, 22 s., Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019) http://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2019/Miljoeoekonomiske_beregningspriser_for_emissioner.pdf
Kongsted, A. G., Pedersen, B. F., Kristensen, I. S., Kristensen, T. & Eriksen, J., (2019). Miljøpåvirkning fra udendørs hold af grise - Del 1, Nr. 2019-0023177, 27 s., dec. 19, 2019.
Knudsen , MJ., Winterberg , B., Hansen , S., Jensen , AA., Damgaard , K., Therkildsen, O. R. & Elmeros, M. (2019). Miljøvurdering af bekendtgørelse om planlægning for og tilladelse til opstilling af vindmøller. https://prodstoragehoeringspo.blob.core.windows.net/a2a9f3d4-a383-47e7-aed2-92246920fa12/Milj%C3%B8rapport%20Bekendtg%C3%B8relse%20om%20planl%C3%A6gning%20for%20og%20tilladelse%20til%20opstilling%20af%20vindm%C3%B8ller.pdf
Hansen, S. F. (2019). Milk fat globule membrane isolation with higher quality and stability. Aarhus Universitet.
Lashkari, S., Johansen, M., Weisbjerg, M. R. & Jensen, S. K. (2019). Milk fatty acid profile of dairy cows is affected by forage species, parity and milking time. I Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Bind 25, s. 215-215) https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-890-2
Sunds, A. V., Sundekilde, U. K., Nielsen, S. D.-H., Larsen, L. B. & Poulsen, N. A. (2019). Milk glycosidase activities and metabolite formation in relation to mastitis. Abstract fra IDF Mastitis Conference 2019 , Copenhagen, Danmark.
Odorcic, M., Rasmussen, M. D., Paulrud, C. O. & Bruckmaier, R. M. (2019). Milking machine settings, teat condition and milking efficiency in dairy cows. Animal, 13(S1), S94-S99. https://doi.org/10.1017/S1751731119000417
Billa, P.-A., Faulconnier, Y., Larsen, T., Leroux, C. & Pires, J. (2019). Milk metabolites as noninvasive indicators of nutritional status of mid-lactation Holstein and Montbéliarde cows. Journal of Dairy Science, 102(Suppl 1), 325-325. Artikel W20.
Rafiee Tari, N., Fan, M. Z. & Corredig, M. (2019). Milk protein composition and beta-casein in a dairy matrix affect in vivo and in vitro physiological responses. Poster-session præsenteret på Canadian Nutrition Society, 10th Annual Scientific meeting, Niagara Falls, Ontario, Canada.
Lærke, H. N., Ingerslev, A. K., Zhou, P., Nørgaard, J. V. & Jensen, S. K. (2019). Milk protein - more than just amino acids? A study on growth and growth biomarkers in piglets. I M. L. Chizzotti (red.), Energy and protein metabolism and nutrition (s. 369-372). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-891-9
Spasaro, M. & Zito, D. (2019). Millimeter-Wave Integrated Silicon Devices: Active versus Passive — The Eternal Struggle Between Good and Evil : (Invited Paper). I 2019 42nd International Semiconductor Conference, CAS 2019 - Proceedings (s. 11-20). Artikel 8923669 IEEE. https://doi.org/10.1109/SMICND.2019.8923669
Juul, L., Kongsted, A. G. & Kaae, A. (2019). Mindre protein i økologisk so-foder er godt for klimaet og miljøet - er det også godt for soen? Økologisk Landbrug, (640), 20. https://nyheder.okologi.dk/mark-og-stald/mindre-protein-i-okologisk-so-foder-er-godt-for-klimaet-og-miljoet-er-det-ogsa-godt-for-soen
Sørensen, K. U., Shiguetomi-Medina, J. M. & Poulsen, H. D. (2019). Mineralisation of tubular bones is affected differently by low phosphorus supply in growing-finishing pigs. Journal of the Science of Food and Agriculture, 99(7), 3628-3634. https://doi.org/10.1002/jsfa.9583
Mosbech, A., Boertmann, D. M., Aastrup, P., Kyhn, L. A., Gustavson, K. & Nymand, J., (2019). Mineral Resources Strategy – environmental contribution: Scientific recommendations from DCE and GINR, 75 s.
Zhao, X., Lucani Rötter, D. E., Shen, X. & Wang, H. (2019). Minimizing Bandwidth Use in IoT Storage with Random Device Failures. I European Wireless 2019 Conference, EW 2019 (s. 72-76). VDE Verlag GmbH. https://ieeexplore.ieee.org/document/8835942
Gautam, C., Tiwari, A. & Iosifidis, A. (2019). Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. I S. Sundaram (red.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (s. 389-396). Artikel 8628692 IEEE. https://doi.org/10.1109/SSCI.2018.8628692
Trnka, M., Feng, S., Semenov, M. A., Olesen, J. E., Kersebaum, K. C., Rötter, R. P., Semerádová, D., Klem, K., Huang, W., Ruiz-Ramos, M., Hlavinka, P., Meitner, J., Balek, J., Havlík, P. & Büntgen, U. (2019). Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas. Science Advances, 5(9), Artikel eaau2406. https://doi.org/10.1126/sciadv.aau2406
Cao, Y., Wang, X., Bai, Z., Chadwick, D., Misselbrook, T., G. Sommer, S., Qin, W. & Ma, L. (2019). Mitigation of ammonia, nitrous oxide and methane emissions during solid waste composting with different additives: A meta-analysis. Journal of Cleaner Production, 235, 626-635. https://doi.org/10.1016/j.jclepro.2019.06.288
Andersen, L. V., T. Peplow, A. & Persson, P. (2019). Mitigation of ground vibrations by circular arrays of rigid blocks. I M. Papadrakakis & M. Fragiadakis (red.), COMPDYN 2019 - 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Proceedings (Bind 2, s. 3422-3447). National Technical University of Athens. https://doi.org/10.7712/120119.7157.18943
Caterino, N., Georgakis, C. T., Spizzuoco, M. & Chen, J. (2019). Mitigation of Structural Demand to Wind Turbines: Experimental Investigation of Three Control Strategies. I F. Ricciardelli & A. M. Avossa (red.), Proceedings of the XV Conference of the Italian Association for Wind Engineering (s. 165-178). Springer. https://doi.org/10.1007/978-3-030-12815-9_14
Zhang, M., Zheng, T., Sheng, B., Wu, F., Zhang, Q., Wang, W., Shen, J., Zhou, N. & Sun, Y. (2019). Mn 2+ complex-modified polydopamine- and dual emissive carbon dots based nanoparticles for in vitro and in vivo trimodality fluorescent, photothermal, and magnetic resonance imaging. Chemical Engineering Journal, 373, 1054-1063. https://doi.org/10.1016/j.cej.2019.05.107
Wang, H., Gao, G., Xia, Q. & Zhang, X. (2019). Modal Dynamics and Analysis of a Vertical Stretch-Retractable Continuum Manipulator with Large Deflection. I 2019 International Conference on Robotics and Automation, ICRA 2019 (s. 6258-6264). Artikel 8794172 IEEE. https://doi.org/10.1109/ICRA.2019.8794172
Filsoof, O. T., Hansen, M. H., Yde, A., Bøttcher, P. & Zhang, X. (2019). Modal Dynamics of a Three-Bladed Tri-Rotor Wind Turbine. I A. Zingoni (red.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019 (s. 681-686). CRC Press. https://doi.org/10.1201/9780429426506
Brincker, R., Olsen, P., Amador, S., Juul, M. Ø. Ø., Malekjafarian, A. & Ashory, M. (2019). Modal participation in multiple input Ibrahim time domain identification. Mathematics and Mechanics of Solids, 24(1), 168-180. https://doi.org/10.1177/1081286517733034
Tarpø, M. G., Vigsø, M. & Brincker, R. (2019). Modal Truncation in Experimental Modal Analysis. I M. Mains & B. J. Dilworth (red.), Topics in Modal Analysis and Testing, Volume 9 - Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018 (Bind 9, s. 143-152). Springer. https://doi.org/10.1007/978-3-319-74700-2_15
Erichsen, A. C., Closter, R. M., Hansen, J. W., Carstensen, J., Timmermann, K., Christensen, J. H. & Tornbjerg, H. (2019). Modelanalyser og hydrografisk rapportering. Afsluttende rapport. DHI. http://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Oevrige_udgivelser/Modeller_i_overvaagningen_2018.pdf
Madsen, E., Skov Rosenlund, O., Brandt, D. & Zhang, X. (2019). Model-Based On-line Estimation of Time-Varying Nonlinear Joint Stiffness on an e-Series Universal Robots Manipulator. I 2019 International Conference on Robotics and Automation (ICRA) (s. 8408-8414). Artikel 8793935 IEEE. https://doi.org/10.1109/ICRA.2019.8793935
Olesen, J. E. & Pullens, J. W. M., (2019). Modelbaseret prognose for høstdato i korn for 2019, Nr. 2019-760-001085, 7 s., jul. 15, 2019.
Zhang, W., Jansson, P. E., Sigsgaard, C., McConnell, A., Jammet, M. M., Westergaard-Nielsen, A., Lund, M., Friborg, T., Michelsen, A. & Elberling, B. (2019). Model-data fusion to assess year-round CO 2 fluxes for an arctic heath ecosystem in West Greenland (69°N). Agricultural and Forest Meteorology, 272-273(July), 176-186. https://doi.org/10.1016/j.agrformet.2019.02.021
Tieppo, R. C., Romanelli, T. L., Milan, M., Sørensen, C. A. G. & Bochtis, D. (2019). Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, 156, 282-292. https://doi.org/10.1016/j.compag.2018.11.032
Iglesias, R. S., Romio, C., Melo, C. L., Musse, A. P. S., do Rosário, F. & Oldenburg, C. M. (2019). Modeling CO2 flow in support of a shallow subsurface controlled leakage field test. Greenhouse Gases: Science and Technology, 9(5), 1027-1042. https://doi.org/10.1002/ghg.1917
Darko, D., Trolle, D., Asmah, R., Bolding, K., Adjei, K. A. & Odai, S. N. (2019). Modeling the impacts of climate change on the thermal and oxygen dynamics of Lake Volta. Journal of Great Lakes Research, 45(1), 73-86. https://doi.org/10.1016/j.jglr.2018.11.010
Maar, M., Larsen, J., Dahl, K. & Riemann, B. (2019). Modellering af miljøeffekter fra havbrug og mulig næringsstofkompensation ved hjælp af miljømuslinger. Abstract fra 20. Danske Havforskermøde, Odense, Danmark. https://www.dhm2019.dk/
Engesgaard, P., Petersen, R. J., Karlsson, I. B., Christiansen, I. M. V., Kjaergaard, C. & Højbjerg, A. L. (2019). Modellering af vandstrømning i lavbundsområder. Vand & Jord, 26(1), 37-39.
Stutz, H. H., Fu, S. & Yang, Z. (2019). Modellierung von großen Deformationen des Boden-Bauwerk-Kontakts in expliziten numerischen Simulationen. I Numerik in der Geotechnik (s. 43-48). Bundesanstalt für Wasserbau. https://henry.baw.de/handle/20.500.11970/106582
Gerwig, H., Hellebrandt, P., Jakobs, H., Janicke, U., Ketzel, M., Schmidt, W., Wirtz, K. & Lorentz, H. (2019). Modellierung von Ultrafeinpartikeln am und um den Flughafen Frankfurt/Main. Poster-session præsenteret på 3. Symposium "Ultrafeine Partikel in der Außenluft und in Innenräumen", Berlin, Tyskland.
Manevski, K., Børgesen, C. D., Li, X., Andersen, M. N., Zhang, X., Shen, Y. & Hu, C. (2019). Modelling agro-environmental variables under data availability limitations and scenario managements in an alluvial region of the North China Plain. Environmental Modelling & Software, 111(January), 94-107. https://doi.org/10.1016/j.envsoft.2018.10.001
Kullolli, B., Cuéllar, P., Baessler, M. & Stutz, H. H. (2019). Modelling and calibration for cyclic soil-structure interface behaviour. I E. Ibraim & A. Tarantino (red.), 7th International Symposium on Deformation Characteristics of Geomaterials, IS-Glasgow 2019 Artikel 13007 EDP Sciences. https://doi.org/10.1051/e3sconf/20199213007
Somerville, G. J., Melander, B., Kudsk, P. & Mathiassen, S. K. (2019). Modelling annual grass weed seed dispersal in winter wheat, when influenced by hedges and directional wind. Ecological Modelling, 410, Artikel 108729. https://doi.org/10.1016/j.ecolmodel.2019.108729
Curci, G., Alyuz, U., Barò, R., Bianconi, R., Bieser, J., H. Christensen, J., Colette, A., Farrow, A., Francis, X., Jiménez-Guerrero, P., Im, U., Liu, P., Manders, A., Palacios-Peña, L., Prank, M., Pozzoli, L., Sokhi, R., Solazzo, E., Tuccella, P. ... Galmarini, S. (2019). Modelling black carbon absorption of solar radiation: Combining external and internal mixing assumptions. Atmospheric Chemistry and Physics, 19(1), 181-204. https://doi.org/10.5194/acp-19-181-2019
Schwemmer, P., Volmer, H., Enners, L., Reimers, H. C., Binder, K., Horn, S., Adler, S., Fox, A. D. & Garthe, S. (2019). Modelling distribution of common scoter (Melanitta nigra) by its predominant prey, the American razor clam (Ensis leei) and hydrodynamic parameters. Estuarine, Coastal and Shelf Science, 225, Artikel 106260. https://doi.org/10.1016/j.ecss.2019.106260
Liu, W. (2019). Modelling interactions between groundwater and surface water at catchment-scale influenced by groundwater abstractions and climate change. Aarhus Universitet. https://doi.org/10.7146/aul.387
Kamp, A., Ambye-Jensen, M. & Østergård, H. (2019). Modelling matter and energy flows of local, refined grass-clover protein feed as alternative to imported soy meal. Ecological Modelling, 410, 1-12. Artikel 108738. https://doi.org/10.1016/j.ecolmodel.2019.108738
Hernandez, V. M., Wahid, R., Ward, A. J. & Møller, H. B. (2019). Modelling methane emission mitigation by anaerobic digestion: effect of storage conditions and co-digestion. Environmental Technology, 40(20), 2633-2642. https://doi.org/10.1080/09593330.2018.1447999
Pastor Rollan, A., Maar, M., Larsen, J., Saurel, C. & Petersen, J. K. (2019). Modelling mussel larval distribution for optimal site selections of mussel farming. Poster-session præsenteret på 20. Danske Havforskermøde, Odense, Danmark. https://www.dhm2019.dk/
Pastor Rollan, A., Maar, M., Saurel, C., Larsen, J. & Petersen, J. K. (2019). Modelling mussel larval distribution for optimal site selections of mussel farming. I Aquaculture Europe 2019, Berlin: Our Future Growing from Water (s. 1122). https://www.aquaeas.eu/images/stories/Meetings/AE2019/AE19_Abstracts_FINAL_Nov_29_web.pdf

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