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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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Zhang, Y., Yu, Y., Zhang, Z. & Zhang, X. (2018). Structure and Design of Microgrippers: A Survey. In Proceedings - 2017 2nd International Conference on Cybernetics, Robotics and Control, CRC 2017: (CRC) (pp. 139-143). IEEE. https://doi.org/10.1109/CRC.2017.9
Zhang, W., Jansson, P.-E., Schurgers, G., Hollesen, J., Lund, M., Abermann, J. & Elberling, B. (2018). Process-Oriented Modeling of a High Arctic Tundra Ecosystem: Long-Term Carbon Budget and Ecosystem Responses to Interannual Variations of Climate. Journal of Geophysical Research: Biogeosciences, 123(4), 1178-1196. https://doi.org/10.1002/2017JG003956
Zhang, G. & Bjerg, B. (2017). Developments of Thermal Environment Techniques of Animal Housing in Hot Climate - A Review. In J.-Q. Ni, T. T. Lim, C. Wang & L. W. Zhao (Eds.), Animal Environment and Welfare – Proceedings of International Symposium (pp. 375-384). China Agriculture Press. https://ivh.ku.dk/ansatte/?pure=da%2Fpublications%2Fdevelopments-of-thermal-environment-techniques-of-animal-housing-in-hot-climate(018feb18-ca73-471e-8d17-26940d209acc).html
Zhang, N., Rao, R. S. P., Salvato, F., Havelund, J. F., Møller, I. M., Thelen, J. J. & Xu, D. (2018). MU-LOC: A machine-learning method for predicting mitochondrially localized proteins in plants. Frontiers in Plant Science, 9, Article 634. https://doi.org/10.3389/fpls.2018.00634
Zhang, H., Xu, W., Li, X., Luo, H., Liu, A. & Wang, Y. (2018). Genetic analysis of skinfold thickness and its association with body condition score, and milk production traits in Chinese Holstein population. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
Zhang, Z., Zhang, Q., Xiao, Q., Sun, H., Gao, H., Yang, Y., Chen, J., Li, Z., Xue, M., Ma, P., Yang, H., Xu, N., Wang, Q. & Pan, Y. (2018). Distribution of runs of homozygosity in Chinese and Western pig breeds evaluated by reduced-representation sequencing data. Animal Genetics, 49(6), 579-591. https://doi.org/10.1111/age.12730
Zhang, H., Lopez, P. C., Holland, C., Lunde, A., Ambye-Jensen, M., Felby, C. & Thomsen, S. T. (2018). The multi-feedstock biorefinery – Assessing the compatibility of alternative feedstocks in a 2G wheat straw biorefinery process. Global change biology. Bioenergy, 10(12), 946-959. https://doi.org/10.1111/gcbb.12557
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
Zhang, X. & Thomsen, M. (2019). A review of top value-added products from seaweed biomass and prospects of cascading biorefinery: Preliminary results. Poster session presented at 23rd International Seaweed Symposium, Jeju, Korea, Republic of.
Zhang, T., Gao, H., Sahana, G., Zan, Y., Fan, H., Liu, J., Shi, L., Liu, J., Du, L., Wang, L. & Zhao, F. (2019). Genome-wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep. Journal of Animal Breeding and Genetics, 136(5), 362-370. https://doi.org/10.1111/jbg.12402
Zhang, G. (2018). Smart Complex Ventilation for Thermal Environmental Control of Livestock Housing. In Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 102). Wageningen University. https://doi.org/10.18174/471678
Zhang, H., Su, L., Wei, H., Yu, Y. & Zhang, X. (2019). A Novel Auto-Focusing Algorithm for Automated Cell Immobilization. In Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 (pp. 656-661). Article 8816338 IEEE. https://doi.org/10.1109/ICMA.2019.8816338
Zhang, Z., Høeg, C. E. & Andersen, L. V. (2019). The influence of uncertain soil conditions on the dynamic response of offshore wind turbines using an efficient time-domain model. In A. Zingoni (Ed.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019 (pp. 257-258). CRC Press. https://doi.org/10.1201/9780429426506
Zhang, J., Buegger, F., Albert, A., Ghirardo, A., Winkler, B., Schnitzler, J. P., Hebelstrup, K. H., Durner, J. & Lindermayr, C. (2019). Phytoglobin overexpression promotes barley growth in the presence of enhanced level of atmospheric nitric oxide. Journal of Experimental Botany, 70(17), 4521-4537. https://doi.org/10.1093/jxb/erz249
Zhang, Y., Cao, L., Wang, X., Cheng, Y., de Boer, W. F. & Fox, A. D. (2019). Foraging ecology of wintering swan geese in the Yangtze. 48-49. Abstract from International Symposium on developing effective coordinated monitoring of East Asian Waterbirds in the 21st Century, Beijing, China. https://doi.org/10.1016/j.ejca.2019.09.016
Zhang, G. (2019). Indoor climate and air quality control in intelligent livestock farming. In Intelligent Agriculture International Conference 2019
Zhang, Y., Kues, M., Roztocki, P., Reimer, C., Fischer, B., MacLellan, B., Caspani, L., Little, B. E., Chu, S. T., Moss, D. J. & Morandotti, R. (2019). Single-photon induced correlation with integrated quantum frequency combs. In 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 Article 8872143 IEEE. https://doi.org/10.1109/CLEOE-EQEC.2019.8872143
Zhang, M., Sheng, B., Ashley, J., Zheng, T., Wang, W., Zhang, Q., Zhang, J., Zhou, N., Shen, J. & Sun, Y. (2020). Manganese ion chelated FeOCl@PB@PDA@BPQDs nanocomposites as a tumor microenvironment-mediated nanoplatform for enhanced tumor imaging and therapy. Sensors and Actuators, B: Chemical, 307, Article 127491. https://doi.org/10.1016/j.snb.2019.127491
Zhang, X. & Hørup, H. (2020). 134-year-old danish family business ready for robots. In J. Bruun (Ed.), Profile 2020 (pp. 20-23). Aarhus Universitet, Institut for Ingeniørvidenskab . http://www.e-pages.dk/aarhusuniversitet/2231/html5/