Publications from Technical Sciences

Follow the latest publications from the Faculty of Technical Sciences. The overview shows the publications with the latest at the top.

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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), Article 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 from 15th International Rapeseed Congress, Berlin, Germany.

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, Article 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 from 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. In 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), Article 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. In A. Rocha, L. Steels & J. van den Herik (Eds.), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence (pp. 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. In L. C. Ungureanu & T. Hartmann (Eds.), EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings: Workshop on Intelligent Computing in Engineering (pp. 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, Article 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 from Ocean Sciences Meeting, San Diego, CA, United States. 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, Article 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, Article 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), Article 194. https://doi.org/10.1186/s13071-020-04053-x

Valencia, V. H., Levin, G. & Hansen, H. S. (2020). Modelling the spatial extent of urban growth using a cellular automata-based model: a case study for Quito, Ecuador. Geografisk Tidsskrift - Danish Journal of Geography, 120(2), 156-173. https://doi.org/10.1080/00167223.2020.1823867

Vafamand, N., Boudjadar, J. & Khooban, M. H. (2020). Model predictive energy management in hybrid ferry grids. Energy Reports, 6(Supplement 2), 550-557. https://doi.org/10.1016/j.egyr.2019.11.118

Bayen, P., Noulèkoun, F., Bognounou, F., Lykke, A. M., Djomo, A., Lamers, J. P. A. & Thiombiano, A. (2020). Models for estimating aboveground biomass of four dryland woody species in Burkina Faso, West Africa. Journal of Arid Environments, 180, Article 104205. https://doi.org/10.1016/j.jaridenv.2020.104205

He, D., Wei, W. & Guo, Z. (2020). Moderate Edible Oil Refining: State-of-the-Art in China. Journal of the American Oil Chemists' Society, 97(11), 1277-1279. https://doi.org/10.1002/aocs.12407

Huang, S., Roman, L., Martinez, M. M. & Bohrer, B. M. (2020). Modification of physicochemical properties of breadfruit flour using different twin-screw extrusion conditions and its application in soy protein gels. Foods, 9(8), Article 1071. https://doi.org/10.3390/foods9081071

Heldbjerg, H. (2020). Modsatrettede bestandstendenser for Stær i Europa. Dansk Ornitologisk Forenings Tidsskrift, 114(1), 6-7.

Bach, H. & Olesen, J. E., (2020). MOF spørgsmål 1465 om udtagning af 500.000 ha landbrugsjord, No. 2020-0171251, 2 p., Oct 15, 2020.

Clausen, J. C. S. (2020). Mohr Envelope Elastoplasticity. Journal of Engineering Mechanics, 146(5), Article 04020025. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001734

Ba, H., Qin, T., Cai, Z., Liu, W. & Li, C. (2020). Molecular evidence for adaptive evolution of olfactory-related genes in cervids. Genes and Genomics, 42(4), 355-360. https://doi.org/10.1007/s13258-019-00911-w

Bekalu, Z. E., Dionisio, G. & Brinch-Pedersen, H. (2020). Molecular Properties and New Potentials of Plant Nepenthesins. Plants, 9(5), Article 570. https://doi.org/10.3390/plants9050570

Frederickson, L. B., Lim, S., Russell, H. S., Kwiatkowski, S., Bonomaully, J., Schmidt, J. A., Hertel, O., Mudway, I., Barratt, B. & Johnson, M. S. (2020). Monitoring Excess Exposure to Air Pollution for Professional Drivers in London Using Low-Cost Sensors. Atmosphere, 11(7), Article 749. https://doi.org/10.3390/atmos11070749

Ovaskainen, O., Abrego, N., Somervuo, P., Palorinne, I., Hardwick, B., Pitkänen, J. M., Andrew, N. R., Niklaus, P. A., Schmidt, N. M., Seibold, S., Vogt, J., Zakharov, E. V., Hebert, P., Roslin, T. & Ivanova, N. V. (2020). Monitoring fungal communities with the Global Spore Sampling Project. Frontiers in Ecology and Evolution, 7, Article 511. https://doi.org/10.3389/fevo.2019.00511

Onnen, N., Eltner, A., Heckrath, G. & Van Oost, K. (2020). Monitoring soil surface roughness under growing winter wheat with low-altitude UAV sensing: Potential and limitations. Earth Surface Processes and Landforms, 45(14), 3747-3759. https://doi.org/10.1002/esp.4998

Axelsen, J. A., Jørgensen, L. N., Damgaard, C. F., Justesen, A. F. & Bruus, M. (2020). Monitoring, warning, and decision support in winter wheat. Miljøstyrelsen. Bekæmpelsesmiddelforskning fra Miljøstyrelsen No. 186 https://mst.dk/service/nyheder/nyhedsarkiv/2020/maj/beslutningsstoette-til-vinterhvede/

Riber, A. B. & Tahamtani, F. M. (2020). Motivation for feeding in broiler breeder pullets fed different types of restricted high-fibre diets. Applied Animal Behaviour Science, 230, Article 105048. https://doi.org/10.1016/j.applanim.2020.105048

Larsen, M. L. V., Pedersen, L. J., Edwards, S., Albanie, S. & Dawkins, M. S. (2020). Movement change detected by optical flow precedes, but does not predict, tail-biting in pigs. Livestock Science, 240, Article 104136. https://doi.org/10.1016/j.livsci.2020.104136

Chimienti, M., Blasi, M. F. & Hochscheid, S. (2020). Movement patterns of large juvenile loggerhead turtles in the Mediterranean Sea: ontogenetic space use in a small ocean basin. Ecology and Evolution, 10(14), 6978-6992. https://doi.org/10.1002/ece3.6370

Cao, L., Meng, F., Zhang, J., Deng, X., Sawa, Y. & Fox, A. (2020). Moving forward: how best to use the results of waterbird monitoring and telemetry studies to safeguard the future of Far East Asian Anatidae species. Wildfowl, (Special Issue 6), 293-319. https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2746

Aubry, P., Guillemain, M., Jensen, G. H., Sorrenti, M. & Scallan, D. (2020). Moving from intentions to actions for collecting hunting bag statistics at the European scale: some methodological insights. European Journal of Wildlife Research, 66(4), Article 70. https://doi.org/10.1007/s10344-020-01400-2

Taipaleenmäki, E., Christensen, G., Brodszkij, E., Mouritzen, S. A., Gal, N., Madsen, S., Hedemann, M. S., Knudsen, T. A., Jensen, H. M., Christiansen, S. L., Sparsø, F. V. & Städler, B. (2020). Mucopenetrating polymer – Lipid hybrid nanovesicles as subunits in alginate beads as an oral formulation. Journal of Controlled Release, 322, 470-485. https://doi.org/10.1016/j.jconrel.2020.03.047

Hashemi, F. & Kronvang, B. (2020). Multi-functional benefits from targeted set-aside land in a Danish catchment. AMBIO, 49(11), 1808-1819. https://doi.org/10.1007/s13280-020-01375-z

Carstensen, M. V. (2020). Multi-functionality and adverse effects of mitigation measures for water quality improvements in the agricultural landscape. Århus Universitet.

Schröder, J. J., Ten Berge, H. F. M., Bampa, F., Creamer, R. E., Giraldez-Cervera, J. V., Henriksen, C. B., Olesen, J. E., Rutgers, M., Sandén, T. & Spiegel, H. (2020). Multi-Functional Land Use Is Not Self-Evident for European Farmers: A Critical Review. Frontiers in Environmental Science, 8, Article 575466. https://doi.org/10.3389/fenvs.2020.575466

Bicho, R. C., Scott-Fordsmand, J. J. & Amorim, M. J. B. (2020). Multigenerational Exposure to WCCo Nanomaterials-Epigenetics in the Soil Invertebrate Enchytraeus crypticus. Nanomaterials, 10(5), Article 836. https://doi.org/10.3390/nano10050836

Amegbor, P. M., Zhang, Z., Dalgaard, R. & Sabel, C. E. (2020). Multilevel and spatial analyses of childhood malnutrition in Uganda: examining individual and contextual factors. Scientific Reports, 10(1), Article 20019. https://doi.org/10.1038/s41598-020-76856-y

Kragh, M. F. & Underwood, J. (2020). Multimodal obstacle detection in unstructured environments with conditional random fields. Journal of Field Robotics, 37(1), 53-72. https://doi.org/10.1002/rob.21866

Im, U., Brandt, J., Geels, C., Hansen, K. M., Christensen, J. H., Andersen, M. S., Solazzo, E., Kioutsioukis, I., Alyuz, U., Balzarini, A., Baro, R., Bellasio, R., Bianconi, R., Bieser, J., Colette, A., Curci, G., Farrow, A., Flemming, J., Fraser, A. ... Galmarini, S. (2020). Multi-model Assessment of Air Pollution-Related Premature Mortality in Europe and U.S. Domestic Versus Foreign Contributions. In C. Mensink, W. Gong & A. Hakami (Eds.), Air Pollution Modeling and its Application XXVI: ITM 2018 (pp. 461-467). Springer. https://doi.org/10.1007/978-3-030-22055-6_73

Neghina, M., Zamfirescu, C.-B., Larsen, P. G. & Pierce, K. (2020). Multi-paradigm modelling and co-simulation in prototyping a cyber-physical production system. In B. Tekinerdogan, D. Blouin, H. Vangheluwe, M. Goulao, P. Carreira & V. Amaral (Eds.), Multi-Paradigm Modelling Approaches for Cyber-Physical Systems (pp. 169-193). Academic Press. https://www.elsevier.com/books/multi-paradigm-modelling-approaches-for-cyber-physical-systems/tekinerdogan/978-0-12-819105-7

Hellin, P., Duvivier, M., Clinckemaillie, A., Bataille, C., Legrève, A., Heick, T. M., Jørgensen, L. N., Andersson, B., Samils, B., Rodemann, B., Berg, G. & Kildea, S. (2020). Multiplex qPCR assay for simultaneous quantification of CYP51-S524T and SdhC-H152R substitutions in European populations of Zymoseptoria tritici. Plant Pathology, 69(9), 1666-1677. Article 13252. https://doi.org/10.1111/ppa.13252