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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Dalby, F. R., Fuchs, A. & Feilberg, A. (2020). Methanogenic pathways and δ 13C values from swine manure with a cavity ring-down spectrometer: Ammonia cross-interference and carbon isotope labeling. Rapid Communications in Mass Spectrometry, 34(7), Artikel e8628. https://doi.org/10.1002/rcm.8628
Nilsson, R. S. & Zhou, K. (2020). Method and bench-marking framework for coverage path planning in arable farming. Biosystems Engineering, 198, 248-265. https://doi.org/10.1016/j.biosystemseng.2020.08.007
Sirovnik, J., Barth, K., de Oliveira, D., Ferneborg, S., Haskell, M., Hillmann, E., Jensen, M. B., Mejdell, C., Napolitano, F., Vaarst, M., Verwer, C., Waiblinger, S., Zipp, K. A. & Johnsen, J. F. (2020). Methodological terminology and definitions for research and discussion of cow-calf contact systems. Journal of Dairy Research, 87(S1), 108-114. https://doi.org/10.1017/S0022029920000564
de Oliveira, D., Barth, K., Haskell, M., Hillmann, E., Jensen, M. B., Johnsen, J. F., Mejdell, C., Waiblinger, S. & Ferneborg, S. (2020). Methodology for experimental and observational animal studies in cow-calf contact systems. Journal of Dairy Research, 87(S1), 115-121. https://doi.org/10.1017/S0022029920000552
Ferneborg, S., Napolitano, F., Vaarst, M., Mejdell, C. M., Waiblinger, S. & De Oliveira, D. (2020). Methodology for studying human attitudes and behaviour to cow-calf contact systems. Journal of Dairy Research, 87(S1), 122-127. https://doi.org/10.1017/S0022029920000448
Levin, M., Jasperse, L., Desforges, J. P., O'Hara, T., Rea, L., Castellini, J. M., Maniscalco, J. M., Fadely, B. & Keogh, M. (2020). Methyl mercury (MeHg) in vitro exposure alters mitogen-induced lymphocyte proliferation and cytokine expression in Steller sea lion (Eumetopias jubatus) pups. Science of the Total Environment, 725, Artikel 138308. https://doi.org/10.1016/j.scitotenv.2020.138308
Zhou, K., Jensen, A. L., Bochtis, D., Nørremark, M., Kateris, D. & Sørensen, C. G. (2020). Metric map generation for autonomous field operations. Agronomy, 10(1), Artikel 83. https://doi.org/10.3390/agronomy10010083
Pastor, A., Poblador, S., Skovsholt, L. J. & Riis, T. (2020). Microbial carbon and nitrogen processes in high-Arctic riparian soils. Permafrost and Periglacial Processes, 31(1), 223-236. https://doi.org/10.1002/ppp.2039
Van Landuyt, J., Cimmino, L., Dumolin, C., Chatzigiannidou, I., Taveirne, F., Mattelin, V., Zhang, Y., Vandamme, P., Scoma, A., Williamson, A. & Boon, N. (2020). Microbial enrichment, functional characterization and isolation from a cold seep yield piezotolerant obligate hydrocarbon degraders. FEMS Microbiology Ecology, 96(9), Artikel fiaa097. https://doi.org/10.1093/femsec/fiaa097
Scheel, M., Christensen, T. R., Rundgren, M., Jacobsen, C. S. & Zervas, A. (2020). Microbial life in collapsing permafrost in NE Greenland. Poster-session præsenteret på EGU:General assembly 2020 , Vienna , Østrig. https://doi.org/10.5194/egusphere-egu2020-17683
Wu, M., Wang, T., Wu, K. & Kan, L. (2020). Microbiologically induced corrosion of concrete in sewer structures: A review of the mechanisms and phenomena. Construction and Building Materials, 239, Artikel 117813. https://doi.org/10.1016/j.conbuildmat.2019.117813
Hauptmann, A. L., Paulová, P., Hansen, L. H., Sicheritz-Pontén, T., Mulvad, G. & Nielsen, D. S. (2020). Microbiota in foods from Inuit traditional hunting. PLoS One, 15(1), Artikel e0227819. https://doi.org/10.1371/journal.pone.0227819
Hansen, S. F., Hogan, S. A., Tobin, J., Rasmussen, J. T., Larsen, L. B. & Wiking, L. (2020). Microfiltration of raw milk for production of high-purity milk fat globule membrane material. Journal of Food Engineering, 276, Artikel 109887. https://doi.org/10.1016/j.jfoodeng.2019.109887
Granberg, M. E., von Friesen, L. W., Ask, A., Collard, F., Magnusson, K., Wiklund, A.-K. E., Murphy, F., Strand, J., Gabrielsen, G. W. & Bach, L. (2020). Microlitter in arctic marine benthic food chains and potential effects on sediment dwelling fauna. Nordic Council of Ministers. TemaNord Bind 2020 Nr. 528 https://doi.org/10.6027/temanord2020-528
Liu, F., Nord, N. B., Bester, K. & Vollertsen, J. (2020). Microplastics Removal from Treated Wastewater by a Biofilter. Water, 12(4), Artikel 1085. https://doi.org/10.3390/w12041085
Ntakaris, A., Kanniainen, J., Gabbouj, M. & Iosifidis, A. (2020). Mid-price prediction based on machine learning methods with technical and quantitative indicators. PLoS One, 15(6 June), Artikel e0234107. https://doi.org/10.1371/journal.pone.0234107
Macedo, H. D., Bayard Rasmussen, M., Thule, C. & Larsen, P. G. (2020). Migrating the INTO-CPS Application to the Cloud. I E. Sekerinski, N. Moreira, J. N. Oliveira, D. Ratiu, R. Guidotti, M. Farrell, M. Luckcuck, D. Marmsoler, J. Campos, T. Astarte, L. Gonnord, A. Cerone, L. Couto, B. Dongol, M. Kutrib, P. Monteiro & D. Delmas (red.), Formal Methods: FM 2019 International Workshops (s. 254-271). Springer. https://doi.org/10.1007/978-3-030-54997-8_17
Ao, P., Wang, X., Meng, F., Batbayar, N., Moriguchi, S., Shimada, T., Koyama, K., Park, J., Kim, H., Ma, M., Sun, Y., Wu, J., Zhao, Y., Wang, W., Zhang, L., Wang, X., Natsagdorj, T., Davaasuren, B., Damba, I. ... Fox, A. (2020). Migration routes and conservation status of the Whooper Swan Cygnus cygnus in East Asia. Wildfowl, (Special Issue 6), 43-72. https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2737
Dietz, R., Rikardsen, A., Biuw, M., Kleivane, L., Noer, C., Stalder, D., van Beest, F., Riget, F. F., Sonne, C., Hansen, M., Strager, H. & Tange Olsen, M. (2020). Migratory and diurnal activity of North Atlantic killer whales (Orcinus orca) off northern Norway. Journal of Experimental Marine Biology and Ecology, 533, Artikel 151456. https://doi.org/10.1016/j.jembe.2020.151456
Zhu, Q., Hobson, K. A., Zhao, Q., Zhou, Y., Damba, I., Batbayar, N., Natsagdorj, T., Davaasuren, B., Antonov, A., Guan, J., Wang, X., Fang, L., Cao, L. & Fox, A. D. (2020). Migratory connectivity of Swan Geese based on species' distribution models, feather stable isotope assignment and satellite tracking. Diversity and Distributions, 26(8), 944-957. Artikel 13077. https://doi.org/10.1111/ddi.13077
Barbato, M. & Scoma, A. (2020). Mild hydrostatic-pressure (15 MPa) affects the assembly, but not the growth, of oil-degrading coastal microbial communities tested under limiting conditions (5°C, no added nutrients). FEMS Microbiology Ecology, 96(11), Artikel fiaa160. https://doi.org/10.1093/femsec/fiaa160
Damgaard, C. (2020). Miljømodellering og usikkerheder. Vand & Jord, 27(3), 115-116.
Kongsted, A. G., Kristensen, I. S., Pedersen, B. F., Eriksen, J. & Kristensen, T. (2020). Miljøpåvirkning fra udendørs hold af grise – Del 2. DCA - Nationalt Center for Fødevarer og Jordbrug.
Billa, P. A., Faulconnier, Y., Larsen, T., Leroux, C. & Pires, J. A. A. (2020). Milk metabolites as noninvasive indicators of nutritional status of mid-lactation Holstein and Montbéliarde cows. Journal of Dairy Science, 103(4), 3133-3146. https://doi.org/10.3168/jds.2019-17466
Lindahl, I. E. I., Danielsen, M., Dalsgaard, T. K., Rejnmark, L., Bollen, P. & Bertram, H. C. (2020). Milk protein complexation enhances post prandial vitamin D3 absorption in rats. Food & Function, 11(6), 4953-4959. https://doi.org/10.1039/d0fo01062f
Moreno-Indias, I., Hernández-Castellano, L. E., Sánchez-Macías, D., Morales-Delanuez, A., Torres, A., Argüello, A. & Castro, N. (2020). Milk replacer supplementation with docosahexaenoic acid from microalgae does not affect growth and immune status in goat kids. Animals, 10(7), Artikel 1233. https://doi.org/10.3390/ani10071233
McClanahan, K., Rosell, F. & Mayer, M. (2020). Minding your own business: low pair cohesion in a territorial, monogamous mammal. Animal Behaviour, 166, 119-128. https://doi.org/10.1016/j.anbehav.2020.05.008
Poulsen, N. A., Szekeres, B. D., Kargo, M. & Larsen, L. B. (2020). Mineral and fatty acid composition of milk from native Jutland and Danish Red 1970 cattle breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 131-135. https://doi.org/10.1080/09064702.2019.1674914
Buggiotti, L., Cheng, Z., Wathes, D. C., GplusE Consortium & Ingvartsen, K. L. (2020). Mining the unmapped reads in bovine RNA-Seq data reveals the prevalence of bovine herpes virus-6 in European dairy cows and the associated changes in their phenotype and leucocyte transcriptome. Viruses, 12(12), Artikel 1451. https://doi.org/10.3390/v12121451
Pedersen, J. M. (2020). Mitigating gaseous emissions following land application of manure slurry in growing crops. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet. https://doi.org/10.7146/aul.397
Dalby, F. R. (2020). Mitigation of Microbially Mediated Gas Emissions from Livestock Waste. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Wagner-Riddle, C., Baggs, E. M., Clough, T. J., Fuchs, K. & Petersen, S. O. (2020). Mitigation of nitrous oxide emissions in the context of nitrogen loss reduction from agroecosystems: managing hot spots and hot moments. Current Opinion in Environmental Sustainability, 47, 46-53. https://doi.org/10.1016/j.cosust.2020.08.002
Moysiadis, V., Tsolakis, N., Katikaridis, D., Sørensen, C. G., Pearson, S. & Bochtis, D. (2020). Mobile robotics in agricultural operations: A narrative review on planning aspects. Applied Sciences, 10(10), Artikel 3453. https://doi.org/10.3390/app10103453
Pullens, J. W. M., Kage, H., Böttcher, U. & Olesen, J. E. (2020). Model based evaluation on heat and drought stress in oilseed rape. Abstract fra 15th International Rapeseed Congress, Berlin, Tyskland.
Damgaard, C., Hansen, R. R. & Hui, F. K. C. (2020). Model-based ordination of pin-point cover data: effect of management on dry heathland. Ecological Informatics, 60, Artikel 101155. https://doi.org/10.1016/j.ecoinf.2020.101155
Huang, L., Bittner, J. P., Dominguez De Maria, P., Jakobtorweihen, S. & Kara, S. (2020). Modeling Alcohol Dehydrogenase Catalysis in Deep Eutectic Solvent/Water Mixtures. ChemBioChem, 21(6), 811-817. https://doi.org/10.1002/cbic.201900624
Pabon, J. J. G., Khosravi, A., Malekan, M. & Sandoval, O. R. (2020). Modeling and energy analysis of a linear concentrating photovoltaic system cooled by two-phase mechanical pumped loop system. Renewable Energy, 157, 273-289. https://doi.org/10.1016/j.renene.2020.05.039
Rome, H. J. S., Marois, D., Huang, C.-H. & Jensen, J. (2020). Modeling maternal effects in later traits in broilers. Abstract fra 71st Annual Meeting of European Federation of Animal Science.
Pedersen, M. T., Murray, N. E. & Baars, W. J. (2020). Modeling supersonic jet noise exposure using a data-informed wave packet approach. I AIAA AVIATION 2020 FORUM American Institute of Aeronautics and Astronautics Inc. (AIAA). https://doi.org/10.2514/6.2020-2605
Chen, W., Nielsen, A., Andersen, T. K., Hu, F., Chou, Q., Søndergaard, M., Jeppesen, E. & Trolle, D. (2020). Modeling the ecological response of a temporarily summer-stratified lake to extreme heatwaves. Water (Switzerland), 12(1), Artikel 94. https://doi.org/10.3390/w12010094
Nachman, G. & Skovgård, H. (2020). Modeling the Influence of Ambient Temperature on the Interactions Between the Stable Fly (Diptera: Muscidae) and Its Natural Enemy Spalangia cameroni (Hymenoptera: Pteromalidae) to Assess Consequences of Climate Change. Environmental Entomology, 49(2), 342-354. https://doi.org/10.1093/ee/nvaa008
Frasheri, M., Esterle, L. & Papadopoulos, A. V. (2020). Modeling the willingness to interact in cooperative multi-robot systems. I A. Rocha, L. Steels & J. van den Herik (red.), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence (s. 62-72). SCITEPRESS Digital Library. https://doi.org/10.5220/0008951900620072
Valencia, V. H., Hertel, O., Ketzel, M. & Levin, G. (2020). Modeling urban background air pollution in Quito, Ecuador. Atmospheric Pollution Research, 11(4), 646-666. https://doi.org/10.1016/j.apr.2019.12.014
Li, B., Fitzgerald, J. & Schultz, C. P. L. (2020). Modelling Co-presence in the Built Environment - a Spatio-temporal Approach to Human Perception and Movement. I L. C. Ungureanu & T. Hartmann (red.), EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings: Workshop on Intelligent Computing in Engineering (s. 215-225). Universitätsverlag der TU Berlin. https://doi.org/10.14279/depositonce-9977
Braga, R., Iglesias, R. S., Romio, C., Praeg, D., Miller, D. J., Viana, A. & Ketzer, J. M. (2020). Modelling methane hydrate stability changes and gas release due to seasonal oscillations in bottom water temperatures on the Rio Grande cone, offshore southern Brazil. Marine and Petroleum Geology, 112, Artikel 104071. https://doi.org/10.1016/j.marpetgeo.2019.104071
Pastor Rollan, A., Maar, M., Larsen, J., Saurel, C. & Petersen, J. K. (2020). Modelling mussel larval distribution in the Limfjord for optimal site selections of mussel farming. Abstract fra Ocean Sciences Meeting, San Diego, CA, USA. https://agu.confex.com/agu/osm20/meetingapp.cgi/Paper/642895
Pugliese, L., De Biase, M., Chidichimo, F., Heckrath, G. J., Iversen, B. V., Kjærgaard, C. & Straface, S. (2020). Modelling phosphorus removal efficiency of a reactive filter treating agricultural tile drainage water. Ecological Engineering, 156, Artikel 105968. https://doi.org/10.1016/j.ecoleng.2020.105968
Sørensen, P. B., Strandberg, B., Bruus, M., Kjær, C., Larsen, S., Hansen, R. R., Damgaard, C. F. & Strandberg, M. (2020). Modelling risk of competitive effects from honeybees on wild bees. Ecological Indicators, 118, Artikel 106749. https://doi.org/10.1016/j.ecolind.2020.106749
Olsen, S. B., Jensen, C. U. & Panduro, T. E. (2020). Modelling Strategies for Discontinuous Distance Decay in Willingness to Pay for Ecosystem Services. Environmental and Resource Economics, 75(2), 351-386. https://doi.org/10.1007/s10640-019-00370-7
Cuéllar, A. C., Kjær, L. J., Baum, A., Stockmarr, A., Skovgard, H., Nielsen, S. A., Andersson, M. G., Lindström, A., Chirico, J., Lühken, R., Steinke, S., Kiel, E., Gethmann, J., Conraths, F. J., Larska, M., Smreczak, M., Orłowska, A., Hamnes, I., Sviland, S. ... Bødker, R. (2020). Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning. Parasites and Vectors, 13(1), Artikel 194. https://doi.org/10.1186/s13071-020-04053-x

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