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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Devantier, L., Hansen, A. K., Mølby-Henriksen, J.-J., Christensen, C. B., Pedersen, M., Hansen, K. V., Magnusson, M., Ovesen, T. & Borghammer, P. (2020). Positron emission tomography visualized stimulation of the vestibular organ is localized in Heschl's gyrus. Human Brain Mapping, 41(1), 185-193. https://doi.org/10.1002/hbm.24798

Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A., Thomasen, J. R. & Kargo, M. (2020). Possibilities for a specific breeding program for organic dairy production. Journal of Dairy Science, 103(7), 6332-6345. https://doi.org/10.3168/jds.2019-16900

Høier, A. T. Z. B., Chaaban, N. & Andersen, B. V. (2020). Possibilities for boosting appetite in patients recovering from Covid-19. Abstract from EUROSENSE 2020: 9th European Conference on Sensory and Consumer Research.

Su, G., Höglund, J., Christensen, O. F. & Lund, M. S. (2020). Possibilities for genetic improvement of pig survival until slaughter. DCA - Nationalt Center for Fødevarer og Jordbrug.

Duerlund, M., Andersen, B. V., Wang, K., Chan, R. & Byrne, D. V. (2020). Post-Ingestive Sensations Driving Post-Ingestive Food Pleasure: A Cross-Cultural Consumer Study Comparing Denmark and China. Foods, 9(5), Article 617. https://doi.org/10.3390/foods9050617

Duerlund, M. (2020). Post-Ingestive Sensations in Healthy Eating Behavior - Clarifying and measuring post-ingestive sensations and studying their contribution to actual choice behaviour. Århus Universitet.

Poulsen, N. A., Thesbjerg, M. N., Johansen, M., Giagnoni, G., Lund, P. & Larsen, L. B. (2020). Posttranslational modifications of αS1- and k-caseins can be affected by feed protein source and stage of lactation. Abstract from 17th Annual International Symposium on Milk Science and Health, Californien, United States.

Ul-Allah, S., Ijaz, M., Nawaz, A., Sattar, A., Sher, A., Naeem, M., Shahzad, U., Farooq, U., Nawaz, F. & Mahmood, K. (2020). Potassium application improves grain yield and alleviates drought susceptibility in diverse maize hybrids. Plants, 9(1), Article 75. https://doi.org/10.3390/plants9010075

Buer, A. L., Maar, M., Nepf, M., Ritzenhofen, L., Dahlke, S., Friedland, R., Krost, P., Peine, F. & Schernewski, G. (2020). Potential and Feasibility of Mytilus spp. Farming Along a Salinity Gradient. Frontiers in Marine Science, 7, Article 371. https://doi.org/10.3389/fmars.2020.00371

Lewandowska, M., Hoffmann, C. C. & Kjeldgaard, A. (2020). Potentiale for yderligere reetablering af vådområder i Odense Å. Vand & Jord, 27(1), 7-11.

Kumar, M., Kuroda, K., Dhangar, K., Mazumder, P., Sonne, C., Rinklebe, J. & Kitajima, M. (2020). Potential Emergence of Antiviral-Resistant Pandemic Viruses via Environmental Drug Exposure of Animal Reservoirs. Environmental Science & Technology, 54(14), 8503-8505. https://doi.org/10.1021/acs.est.0c03105

Lewandowska, M., Hoffmann, C. C. & Kjeldgaard, A. (2020). Potential for further wetland restoration in the Odense River catchment and nitrogen and phosphorus retention. Århus Universitet. Scientific Report from DCE - Danish Centre for Environment and Energy No. 396 https://dce2.au.dk/pub/SR396.pdf

Marttila, H., Lepistö, A., Tolvanen, A., Bechmann, M., Kyllmar, K., Juutinen, A., Wenng, H., Skarbøvik, E., Futter, M., Kortelainen, P., Rankinen, K., Hellsten, S., Kløve, B., Kronvang, B., Kaste, Ø., Solheim, A. L., Bhattacharjee, J., Rakovic, J. & de Wit, H. (2020). Potential impacts of a future Nordic bioeconomy on surface water quality. AMBIO, 49(11), 1722-1735. https://doi.org/10.1007/s13280-020-01355-3

Grelet, C., Froidmont, E., Foldager, L., Salavati, M., Hostens, M., Ferris, C. P., Ingvartsen, K. L., Crowe, M., Sørensen, M. T., Fernandez Pierna, J. A., Vanlierde, A., Gengler, N., GplusE Consortium & Dehareng, F. (2020). Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. Journal of Dairy Science, 103(5), 4435-4445. https://doi.org/10.3168/jds.2019-17910

Sheikh, M. A., Fasih, M. M., Strand, J., Ali, H. R., Bakar, A. H. & Sharif, H. M. (2020). Potential of silicone passive sampler for Tributyltin (TBT) detection in tropical aquatic systems. Regional Studies in Marine Science, 35, Article 101171. https://doi.org/10.1016/j.rsma.2020.101171

Zeng, Y., Chen, X., Madsen, A. M., Zervas, A., Nielsen, T. K., Andrei, A.-S., Lund-Hansen, L. C., Liu, Y. & Hansen, L. H. (2020). Potential Rhodopsin and Bacteriochlorophyll-Based Dual Phototrophy in a High Arctic Glacier. https://doi.org/10.1101/2020.09.28.316679

Zeng, Y., Chen, X., Madsen, A. M., Zervas, A., Nielsen, T. K., Andrei, A. S., Lund-Hansen, L. C., Liu, Y. & Hansen, L. H. (2020). Potential Rhodopsin- and Bacteriochlorophyll-Based Dual Phototrophy in a High Arctic Glacier. mBio, 11(6), 1-8. Article e02641-20. https://doi.org/10.1128/mBio.02641-20

Vaarst, M., Roderick, S., Martin, G., Gunnarson, S., Spengler Neff, A., Bieber, A. & Kongsted, A. G. (2020). Potentials, challenges and visions for future European organic animal farming. In O. Schmid, M. Johnson, M. Vaarst & B. Früh (Eds.), Organic Animal Husbandry Systems - challenges, performances and potentials: Proceedings of the IAHA Video-Conference on Organic Animal Husbandry 21st and 22nd September linked to the 20th Organic World Congress of IFOAM 2021 (pp. 11-22). IFOAM. https://organic-farmknowledge.org/da/news-events/news/detail/future-of-organic-animal-husbandry-in-europe

Vaarst, M., Roderick, S., Martin, G., Gunnarsson, S., Neff, A. S., Bieber, A. & Kongsted, A. G. (2020, Sept 22). Potentials, challenges and visions for future European organic animal farming across species. CORE Organic Cofound. https://projects.au.dk/coreorganiccofund/news-and-events/show/artikel/potentials-challenges-and-visions-for-future-european-organic-animal-farming-across-species/

Mogensen, L., Heusale, H., Sinkko, T., Poutanen, K., Sözer, N., Hermansen, J. E. & Knudsen, M. T. (2020). Potential to reduce GHG emissions and land use by substituting animal-based proteins by foods containing oat protein concentrate. Journal of Cleaner Production, 274, Article 122914. https://doi.org/10.1016/j.jclepro.2020.122914

Koch, K., Hafner, S. D., Weinrich, S., Astals, S. & Holliger, C. (2020). Power and Limitations of Biochemical Methane Potential (BMP) Tests. Frontiers in Energy Research, 8, Article 63. https://doi.org/10.3389/fenrg.2020.00063

Meng, F., Hu, Y., Ma, P., Zhang, X. & Li, Z. (2020). Practical control of a cold milling machine using an adaptive PID controller. Applied Sciences (Switzerland), 10(7), Article 2516. https://doi.org/10.3390/app10072516

Bregnballe, T., Thorup, O. & Clausen, P., (2020). Prædatorhegn på Tipperne: Forventet effekt på engfuglenes ynglesucces , 9 p., Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019) No. 28 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_28.pdf

Lund, P., (2020). Prædiktion af udskillelse af kvælstof hos malkekøer i 2020, 2025 og 2030 på baggrund af data fra AGMEMOD-modellen og NORMTAL-modellen: Opdatering i 2020, No. 2020-0080559, 7 p., May 01, 2020.

Álvarez, C., Prestløkken, E., Nielsen, N. I., Volden, H., Klemetsdal, G. & Weisbjerg, M. R. (2020). Precision and additivity of organic matter digestibility obtained via in vitro multi-enzymatic method. Journal of Dairy Science, 103(5), 4880-4891. https://doi.org/10.3168/jds.2019-17778

Imboma, T. S., Gao, D. P., You, M. S., You, S. & Lövei, G. L. (2020). Predation pressure in tea (Camellia sinensis) plantations in southeastern china measured by the sentinel prey method. Insects, 11(4), Article 212. https://doi.org/10.3390/insects11040212

Eötvös, C. B., Lövei, G. L. & Magura, T. (2020). Predation pressure on sentinel insect prey along a riverside urbanisation gradient in Hungary. Insects, 11(2), Article 97. https://doi.org/10.3390/insects11020097

Andersen, T. K., Nielsen, A., Jeppesen, E., Hu, F., Bolding, K., Liu, Z., Søndergaard, M., Johansson, L. S. & Trolle, D. (2020). Predicting ecosystem state changes in shallow lakes using an aquatic ecosystem model: Lake Hinge, Denmark, an example. Ecological Applications, 30(7), Article e02160. https://doi.org/10.1002/eap.2160

Hermansen, C., Norgaard, T., Wollesen de Jonge, L., Moldrup, P., Müller, K. & Knadel, M. (2020). Predicting glyphosate sorption across New Zealand pastoral soils using basic soil properties or Vis–NIR spectroscopy. Geoderma, 360, Article 114009. https://doi.org/10.1016/j.geoderma.2019.114009

Jensen, D. B., Larsen, M. L. V. & Pedersen, L. J. (2020). Predicting pen fouling in fattening pigs from pig position. Livestock Science, 231, Article 103852. https://doi.org/10.1016/j.livsci.2019.103852

Foldager, L., Gaillard, C., Sørensen, M. T., Larsen, T., Matthews, E., O'Flaherty, R., Carter, F., Crowe, M., Grelet, C., Salavati, M., Hostens, M., GplusE Consortium, Ingvartsen, K. L. & Krogh, M. A. (2020). Predicting physiological imbalance in Holstein dairy cows by three different sets of milk biomarkers. Preventive Veterinary Medicine, 179, Article 105006. https://doi.org/10.1016/j.prevetmed.2020.105006

Mikkelsen, K. B., Tabar, Y. R. & Kidmose, P. (2020). Predicting Sleep Classification Performance without Labels. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (pp. 645-648). IEEE. https://doi.org/10.1109/EMBC44109.2020.9175743

Katuwal, S., Knadel, M., Norgaard, T., Moldrup, P., Greve, M. H. & de Jonge, L. W. (2020). Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models. Geoderma, 361, Article 114080. https://doi.org/10.1016/j.geoderma.2019.114080

Molina Navarro, E., Segurado, P., Branco, P., Almeida, C. & Andersen, H. E. (2020). Predicting the ecological status of rivers and streams under different climatic and socioeconomic scenarios using Bayesian Belief Networks. Limnologica, 80, Article 125742. https://doi.org/10.1016/j.limno.2019.125742

Vigsø, M. & Georgakis, C. (2020). Predicting wave load distributions using indirect methods. Ocean Engineering, 214, Article 107682. https://doi.org/10.1016/j.oceaneng.2020.107682

Poulsen, B. G., Ask, B., Nielsen, H. M., Ostersen, T. & Christensen, O. F. (2020). Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information. Genetics, selection, evolution : GSE, 52(1), Article 58. https://doi.org/10.1186/s12711-020-00578-y

Gebreyesus, G., Difford, G. F., Buitenhuis, B., Lassen, J., Noel, S. J., Højberg, O., Plichta, D. R., Zhu, Z., Poulsen, N. A., Sundekilde, U. K., Løvendahl, P. & Sahana, G. (2020). Predictive ability of host genetics and rumen microbiome for subclinical ketosis. Journal of Dairy Science, 103(5), 4557-4569. https://doi.org/10.3168/jds.2019-17824

Amegbor, P. M. & Rosenberg, M. W. (2020). Predictors of Unmet Traditional, Complementary and Alternative Medicine Need Among Persons of Sub-Saharan African Origin Living in the Greater Toronto Area. Journal of Immigrant and Minority Health, 22(5), 1031-1038. https://doi.org/10.1007/s10903-020-01003-8

Khanal, P., Axel, A. M. D., Safayi, S., Elbrønd, V. S. & Nielsen, M. O. (2020). Prenatal over‐ and undernutrition differentially program small intestinal growth, angiogenesis, absorptive capacity, and endocrine function in sheep. Physiological Reports, 8(12), Article e14498. https://doi.org/10.14814/phy2.14498

Novoa-Garrido, M., Marcos, C. N., Travieso, M. D. C., Molina-Alcaide, E., Larsen, M. & Weisbjerg, M. R. (2020). Preserving Porphyra umbilicalis and Saccharina latissima as Silages for Ruminant Feeding. Animals, 10(11), Article 1957. https://doi.org/10.3390/ani10111957

Oh, H.-J., Krogh, P. H., Jeong, H.-G., Joo, G.-J., Kwak, I.-S., Hwang, S.-J., Chang, K.-H., Gim, J.-S. & Jo, H. (2020). Pretreatment method for DNA barcoding to analyze gut contents of rotifers: special issue "Food Chains and Food Webs in Aquatic Ecosystems" of Applied Sciences, section on "Environmental and Sustainable Science and Technology". Applied Sciences, 10(3), Article 1064. https://doi.org/10.3390/app10031064

Iosifidis, A. (2020). Probabilistic Class-Specific Discriminant Analysis. IEEE Access, 8, 183847-183855. https://doi.org/10.1109/ACCESS.2020.3029514

Laakom, F., Raitoharju, J., Iosifidis, A., Tuna, U., Nikkanen, J. & Gabbouj, M. (2020). Probabilistic Color Constancy. In 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings (pp. 978-982). Article 9190893 IEEE. https://doi.org/10.1109/ICIP40778.2020.9190893