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Faculty of Technical Sciences

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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Nielsen, L. E., Mielby, L. A., Byrne, D. V. & Heymann, H. (2019). Precision in vocabulary generation and learning effects for product specific attributes: Applications in Beer profiling.. Poster session presented at Pangborn 2019: 13th Sensory science symposium, Edinburgh, United Kingdom.

Ferrante, M., Lövei, G. L., Magagnoli, S., Minarcikova, L., Tomescu, E. L., Burgio, G., Cagan, L. & Ichim, M. C. (2019). Predation pressure in maize across Europe and in Argentina: an intercontinental comparison. Insect Science, 26(3), 545-554. https://doi.org/10.1111/1744-7917.12550

Kyrø, C., Frederiksen, K., Holm, M., Nørskov, N. P., Knudsen, K. E. B., Overvad, K., Tjønneland, A. & Olsen, A. (2019). Prediagnosis plasma concentrations of enterolactone and survival after colorectal cancer: the Danish Diet, Cancer and Health cohort. The British Journal of Nutrition, 122(5), 552-563. https://doi.org/10.1017/S0007114518002143

Eriksen, A. K., Kyrø, C., Nørskov, N. P., Frederiksen, K., Bach Knudsen, K.-E., Overvad, K., Landberg, R., Tjønneland, A. & Olsen, A. (2019). Pre-diagnostic plasma enterolactone concentrations are associated with lower mortality among individuals with type 2 diabetes: a case-cohort study in the Danish Diet, Cancer and Health cohort. Diabetologia, 62(6), 959-969. https://doi.org/10.1007/s00125-019-4854-9

Rehman, H. U., Kayabali, K., Tall, A., Knadel, M., de Jonge, L. W. & Arthur, E. (2019). Predicting coefficient of linear extensibility and Atterberg limits of fine-grained soils using vis-NIR spectra. Abstract from 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States. https://scisoc.confex.com/scisoc/2019sssa/meetingapp.cgi/Paper/115242

Nabe-Nielsen, J., van Beest, F., Grimm, V., Sibly, R., Teilmann, J. & Thompson, P. (2019). Predicting cumulative impacts of disturbances on marine populations. Abstract from World Marine Mammal Conference, Barcelona, Spain.

Guinguina, A., Ahvenjarvi, S., Prestlokken, E., Lund, P. & Huhtanen, P. (2019). Predicting feed intake and feed efficiency in lactating dairy cows using digesta marker techniques. Animal, 13(10), 2277-2288. https://doi.org/10.1017/S1751731119000247

Hermansen, C., Møldrup, P., Müller, K., Knadel, M., Greve, M. H. & de Jonge, L. W. (2019). Predicting Glyphosate Sorption Across New Zealand Pastoral Soils Using Basic Soil Properties or Vis–NIR Spectroscopy. Abstract from 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States.

Fløjgaard, C., Frøslev, T. G., Brunbjerg, A. K., Bruun, H. H., Moeslund, J. E., Hansen, A. J. & Ejrnæs, R. (2019). Predicting provenance of forensic soil samples: Linking soil to ecological habitats by metabarcoding and supervised classification. PLoS One, 14(7), Article e0202844. https://doi.org/10.1371/journal.pone.0202844

Chrysodonta, Z. P. (2019). Predicting soil hydraulic properties: Comparing visible−near-infrared spectroscopy with classical pedotransfer functions. Aarhus Universitet.

Obour, P. B. (2019). Predicting soil workability and fragmentation in tillage. Aarhus Universitet.

Chrysodonta, Z. P., Arthur, E., Moldrup, P., Knadel, M., Norgaard, T., Iversen, B. V. & de Jonge, L. W. (2019). Predicting the Campbell-Shiozawa soil-water retention function for the dry region: Comparing visible – near infrared spectroscopy with a classical pedotransfer function. Poster session presented at 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States. https://scisoc.confex.com/scisoc/2019sssa/meetingapp.cgi/Paper/116494

Khodadad Motarjemi, S., Møller, A. B., Nagy, D., Plauborg, F. & Iversen, B. V. (2019). Predicting Tile Drainage Discharge Using Machine Learning Techniques. Poster session presented at 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States.

Hellwing, A. L. F., Nielsen, N. I., Weisbjerg, M. R. & Lund, P. (2019). Prediction of enteric methane can be improved by using the NorFor feed evaluation system for dairy cows. In A. Berndt, L. G. P. Ribeiro & A. L. Abdalla (Eds.), Proceedings of the 7th GGAA (pp. 87-87). Embrapa Southeast Livestock. http://www.ggaa2019.org/sites/default/files/proceedings-ggaa2019.pdf

Nielsen, B., Ask, B., Gao, H. & Su, G. (2019). Prediction of individual breeding values from group recordings. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

De Koster, J., Salavati, M., Grelet, C., Crowe, M. A., Matthews, E., O'Flaherty, R., Opsomer, G., Foldager, L., GplusE Consortium & Hostens, M. (2019). Prediction of metabolic clusters in early lactation dairy cows using models based on milk biomarkers. Journal of Dairy Science, 102(3), 2631-2644. https://doi.org/10.3168/jds.2018-15533

Møller, A. B., Iversen, B. V., Beucher, A. & Greve, M. H. (2019). Prediction of soil drainage classes in Denmark by means of decision tree classification. Geoderma, 352, 314-329. https://doi.org/10.1016/j.geoderma.2017.10.015

Larsen, M. L. V., Pedersen, L. J. & Jensen, D. B. (2019). Prediction of Tail Biting Events in Finisher Pigs from Automatically Recorded Sensor Data. Animals, 9(7), Article 458. https://doi.org/10.3390/ani9070458

Nandini, S., Sarma, S. S. S., Jeppesen, E. & May, L. (2019). Preface: Shallow lakes research: advances and perspectives: The 9th International Shallow Lakes Conference. Hydrobiologia, 829(1). https://doi.org/10.1007/s10750-018-3846-y

Lövei, G. L. (Ed.) (2019). Preface. Acta Zoologica Academiae Scientiarum Hungaricae, 65(Supplement), 1-2. https://doi.org/10.17109/AZH.65.Suppl.1.2019

Hudert, M. M. & Pfeiffer, S. (2019). Preface. In M. Hudert & S. Pfeiffer (Eds.), Rethinking Wood : Future Dimensions of Timber Assembly (pp. 13-15). Birkhäuser Verlag. https://doi.org/10.1515/9783035617061

Matejícka, L., Georgakis, C. T., Koss, H. & Egger, P. (2019). Preliminary comparison of the aerodynamics of several concave-filleted bridge cable surfaces. Paper presented at The 15th International Conference on Wind Engineering, Beijing, China.

Jensen, P. B., Ejrnæs, R. & Sørensen, K. W. (2019). Preliminary status of the present encyrtid fauna in Denmark (Hymenoptera, Encyrtidae). Entomologiske Meddelelser, 87(1-2), 55-64. https://danbif.dk/formidlingsarkiv/links/litteratur/entomologiske-meddelelser/bind-87/Encyrtidae.pdf

Bjørnshave, A., Johansen, T. N., Amer, B., Dalsgaard, T. K., Holst, J. J. & Hermansen, K. (2019). Pre-meal and postprandial lipaemia in subjects with the metabolic syndrome: Effects of timing and protein quality (randomised crossover trial). The British Journal of Nutrition, 121(3), 312-321. https://doi.org/10.1017/S0007114518003264

Christiansen, M. P., Teimouri, N., Laursen, M. S., Mikkelsen, B. F., Jorgensen, R. N. & Sorensen, C. A. G. (2019). Preprocessed sentinel-1 data via a web service focused on agricultural field monitoring. IEEE Access, 7(1), 65139-65149. Article 8715769. https://doi.org/10.1109/ACCESS.2019.2917063

Petersen, S., Kristensen, M. H. & Knudsen, M. D. (2019). Prerequisites for reliable sensitivity analysis of a high fidelity building energy model. Energy and Buildings, 183, 1-16. https://doi.org/10.1016/j.enbuild.2018.10.035

Tarin-Carrasco, P., Im, U., Palacios-Peña, L. & Jiménez Guerrero, P. (2019). Present and future impacts of fine particulate matter on human health in non-linear functions over Europe. Poster session presented at European Geophysical Union, Vienna, Austria.

Szymczak-Żyła, M., Krajewska, M., Witak, M., Ciesielski, T. M., Ardelan, M. V., Jenssen, B. M., Goslar, T., Winogradow, A., Filipkowska, A., Lubecki, L., Zamojska, A. & Kowalewska, G. (2019). Present and Past-Millennial Eutrophication in the Gulf of Gdańsk (Southern Baltic Sea). Paleoceanography and Paleoclimatology, 34(2), 136-152. https://doi.org/10.1029/2018PA003474

Moon, G. & Sabel, C. (2019). Presenting health and medical geography: People, places, and change. Geographical Journal, 185(4), 459-471. https://doi.org/10.1111/geoj.12319

Yong-Jin, H., Huang, Z., Zhong, C., Guo, Z. & Chen, B. (2019). Pressurized liquid extraction with ethanol as a green and efficient technology to lipid extraction of Isochrysis biomass. Bioresource Technology, 293, Article 122049. https://doi.org/10.1016/j.biortech.2019.122049

Kamal, S. S., Andersen, A. D., Krych, L., Lauridsen, C., Sangild, P. T., Thymann, T. & Nielsen, D. S. (2019). Preterm Birth Has Effects on Gut Colonization in Piglets Within the First 4 Weeks of Life. Journal of Pediatric Gastroenterology and Nutrition, 68(5), 727-733. https://doi.org/10.1097/MPG.0000000000002259

Munch, S. L., Nielsen, S. S., Krogh, M. A. & Capion, N. (2019). Prevalence of abomasal lesions in Danish Holstein cows at the time of slaughter. Journal of Dairy Science, 102(6), 5403-5409. https://doi.org/10.3168/jds.2018-15757

Jensen, K., Toft, S., Sørensen, J. G., Sigsgaard, L., Kristensen, T. N., Overgaard, J. & Holmstrup, M. (2019). Prey-specific experience affects prey preference and time to kill in the soil predatory mite Gaeolaelaps aculeifer Canestrini. Biological Control, 139, Article 104076. https://doi.org/10.1016/j.biocontrol.2019.104076

Jensen, K., Toft, S., Sigsgaard, L., Sørensen, J. G. & Holmstrup, M. (2019). Prey-specific impact of cold pre-exposure on kill rate and reproduction. Journal of Animal Ecology, 88(2), 258-268. https://doi.org/10.1111/1365-2656.12916

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression. BMC Genomics, 20, Article 255. https://doi.org/10.1186/s12864-019-5638-9

Andersen, L. V., Frier, C. & Pedersen, L. (2019). Probabilistic Analysis of Modal Properties for Floor Systems with Uncertain Support Conditions. In S. Pakzad (Ed.), Dynamics of Civil Structures, Volume 2 - 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 (Vol. 2, pp. 67-75). Springer. https://doi.org/10.1007/978-3-319-74421-6_10

Hibberd, A. A., Yde, C. C., Ziegler, M. L., Honoré, A. H., Saarinen, M. T., Lahtinen, S.-P., Stenman, L. K. & Jensen, H. M. (2019). Probiotic or synbiotic alters the gut microbiota and metabolism in a randomised controlled trial of weight management in overweight adults. Beneficial Microbes, 10(2), 121-135. https://doi.org/10.3920/BM2018.0028

Thorsteinsson, M. M. & Vestergaard, M. (2019, Aug). Probiotika-produkt kan øge slagtekalves tilvækst. SEGES. https://www.landbrugsinfo.dk/Kvaeg/Koedproduktion/Slagtekalve/Sider/Hi-19-5978-Probiotika-produkt-kan-oge-slagtekalves-tilvaekst.aspx

Thorsteinsson, M. M. & Vestergaard, M. (2019). Probiotika-produkt kan øge slagtekalves tilvækst. DLBR Slagtekalve. Nyhedsbrev, 8. https://www.landbrugsinfo.dk/Kvaeg/Koedproduktion/Slagtekalve/Sider/Hi-19-5978-Probiotika-produkt-kan-oge-slagtekalves-tilvaekst.aspx

Hofmeijer, M., Melander, B., Krawczyk, R., Salonen, J., Verwijst, T., Zarina, L. & Gerowitt, B. (2019). Problematic weed species in organic arable agriculture around the Baltic Sea: do fears meet facts? IOBC wprs Bulletin, 143, 115-119.

Kara, S. & Liese, A. (2019). Process considerations for the application of enzymes. In A. Vogel & O. May (Eds.), Industrial enzyme applications (pp. 71-94). Wiley. https://doi.org/10.1002/9783527813780.ch1_4

Gregersen, S. B., Wiking, L., Glover, Z., Simonsen, A. C. & Bertelsen, B. K. B. (2019). Process-induced changes in the Association of Proteins with the Milk Fat Globule Membrane. Abstract from 17th Euro Fed Lipid Congress and Expo, Seville, Spain.

Kremer, T., Juul Larsen, J. & Nguyen, F. (2019). Processing harmonic EM noise with multiple or unstable frequency content in surface NMR surveys. Geophysical Journal International, 219(2), 753-775. https://doi.org/10.1093/gji/ggz307

Pokhrel, B., Sørensen, J. N., Møller, H. B. & Petersen, K. K. (2019). Processing methods of organic liquid fertilizers affect nutrient availability and yield of greenhouse grown parsley. Renewable Agriculture and Food Systems, 34(5), 430-438. https://doi.org/10.1017/S1742170517000771

Bouros, P., Assent, I., Jeppesen, J. H. & Toftegaard, T. S. (2019). Processing satellite imagery for decision-making in precision agriculture. In P. Papotti (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019) Sun Site Central Europe. https://bigvis.imsi.athenarc.gr/bigvis2019/papers/BigVis_2019_paper_4.pdf

Teigiserova, D. (2019). Production of enzymes via solid state fermentation from cereals. Dataset https://data.mendeley.com/datasets/k2xv3yss8m/1

Kok, A., Lehmann, J. O., Kemp, B., Hogeveen, H., Van Middelaar, C. E., De Boer, I. J. M. & Van Knegsel, A. T. M. (2019). Production, partial cash flows and greenhouse gas emissions of simulated dairy herds with extended lactations. Animal, 13(5), 1074-1083. https://doi.org/10.1017/S1751731118002562

Buer, A.-L., Ritzenhofen, L., Maar, M. & Schernewski, G. (2019). Production potential of blue mussel (MytiluS SPP.) farming alogn the salinity gradient of the German Baltic sea. In Aquaculture Europe 2019, Berlin: Our Future Growing from Water (pp. 218-219). https://www.aquaeas.eu/images/stories/Meetings/AE2019/AE19_Abstracts_FINAL_Nov_29_web.pdf

De Notaris, C. (2019). Productivity and nitrogen cycling in organic arable row cropping systems including legumes. Aarhus Universitet.

Bruun, J. (Ed.) (2019). Profile 2019: engineering a better world. Aarhus Universitet, Institut for Ingeniørvidenskab . http://www.e-pages.dk/aarhusuniversitet/2032/

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