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Latest STEM publications > Displaying [2561–2580 of 13874]

  • Andrea, F. and Laney, R., 2021, ‘Sketching music together: Mixed groups exploring melodic similarity and contrast using a digital tabletop’, Journal of Music, Technology & Education, 14(2&3), pp. 179–207., https://oro.open.ac.uk/101155/.
  • Khokhar, F., Pickard, D., Dyson, Z., Iqbal, J., Pragasam, A., Jacob, J. J., Veeraraghavan, B., Qamar, F., Dougan, G., MacQueen, H., Rigas, S., Holmes, M. and Mutreja, A., 2021, ‘Molecular detection of salmonella typhi and paratyphi A with genomic markers of resistance’, in 12th International Conference on Typhoid & Other Invasive Salmonelloses., 06-08 Dec 2021, Online., https://oro.open.ac.uk/100055/.
  • Makwela, M. J. and Olalere, F. E., 2021, ‘Preparing the future workforce in African universities of technology: A case of new media art as a mutating discipline in the 4IR’, in Proceedings of the 16th Design Education Forum of Southern Africa Conference, 5-7 Oct 2021, University of Johannesburg, South Africa., https://oro.open.ac.uk/99508/.
  • Dablin, L., Lewis, S. L., Milliken, W., Monro, A. and Lee, M. A., 2021, ‘Browse from Three Tree Legumes Increases Forage Production for Cattle in a Silvopastoral System in the Southwest Amazon’, Animals, 11(12), https://oro.open.ac.uk/81529/.
  • Raj, R., Sabin, M., Impagliazzo, J., Bowers, D., Daniels, M., Hermans, F., Kiesler, N., Kumar, A. N., MacKellar, B., McCauley, R., Nabi, S. W. and Oudshoorn, M., 2021, ‘Professional Competencies in Computing Education’, in ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, 26 Jun - 1 Jul 2021, Virtual Event Germany., https://oro.open.ac.uk/81500/.
  • Baronchelli, I., Scarlata, C. M., Rodríguez-Muñoz, L., Bonato, M., Morselli, L., Vaccari, M., Carraro, R., Barrufet, L., Henry, A., Mehta, V., Rodighiero, G., Baruffolo, A., Bagley, M., Battisti, A., Colbert, J., Dai, Y. S., De Pascale, M., Dickinson, H., Malkan, M., Mancini, C., Rafelski, M. and Teplitz, H. I., 2021, ‘Identification of Single Spectral Lines in Large Spectroscopic Surveys Using UMLAUT: an Unsupervised Machine-learning Algorithm Based on Unbiased Topology’, The Astrophysical Journal Supplement Series, 257(2), https://oro.open.ac.uk/81435/.
  • Zhang, Y., Liu, Y., Li, Q., Tiwari, P., Wang, B., Li, Y., Pandey, H. M., Zhang, P. and Song, D., 2021, ‘CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations’, IEEE Transactions on Fuzzy Systems, 29(12), pp. 3696–3710., https://oro.open.ac.uk/81244/.
  • Ruan, T., Young, R. M. B., Lewis, S. R., Montabone, L., Valeanu, A. and Read, P. L., 2021, ‘Assimilation of both column‐ and layer‐integrated dust opacity observations in the Martian atmosphere’, Earth and Space Science, 8(12), https://oro.open.ac.uk/81222/.
  • Jones, D. and Lotz, N., 2021, ‘Design Education: Teaching in Crisis’, Design and Technology Education: an International Journal, 26(4), pp. 4–9., https://oro.open.ac.uk/81218/.
  • Qin, R., 2021, ‘Artificial neural network study of the electrical conductivity of mould flux’, Materials Science and Technology, 37(18), pp. 1476–1482., https://oro.open.ac.uk/81213/.
  • Hilliam, R., Goldrei, D., Arrowsmith, G., Siddons, A. and Brown, C., 2021, ‘Mathematics and statistics distance learning: more than just online teaching’, Teaching Mathematics and its Applications: An International Journal of the IMA, 40(4), pp. 374–391., https://oro.open.ac.uk/81107/.
  • Gillard, J., Ketnor, C., Mac An Bhaird, C. and Smith, C., 2021, ‘Special issue editorial: restarting the new normal’, Teaching Mathematics and its Applications: An International Journal of the IMA, 40(4), pp. 249–253., https://oro.open.ac.uk/81104/.
  • Changela, H. G., Chatzitheodoridis, E., Antunes, A., Beaty, D., Bouw, K., Bridges, J. C., Capova, K. A., Cockell, C. S., Conley, C. A., Dadachova, E., Dallas, T. D., de Mey, S., Dong, C., Ellery, A., Ferus, M., Foing, B., Fu, X., Fujita, K., Lin, Y., Jheeta, S., Hicks, L. J., Hu, S., Kereszturi, A., Krassakis, A., Liu, Y., Oberst, J., Michalski, J., Ranjith, P. M., Rinaldi, T., Rothery, D., Stavrakakis, H. A., Selbmann, L., Sinha, R. K., Wang, A., Williford, K., Vaci, Z., Vago, J. L., Waltemathe, M. and Hallsworth, J. E., 2021, ‘Mars: new insights and unresolved questions’, International Journal of Astrobiology, 20(6), pp. 394–426., https://oro.open.ac.uk/80347/.
  • Cook, M. and Valdez, A., 2021, ‘Exploring smart city atmospheres: The case of Milton Keynes’, Geoforum, 127 pp. 180–188., https://oro.open.ac.uk/79925/.
  • Valantinas, A., Becerra, P., Pommerol, A., Tornabene, L., Affolter, L., Cremonese, G., Hauber, E., McEwen, A., Munaretto, G., Pajola, M., Bowen, A. P., Patel, M. R., Rangarajan, V., Schorghofer, N. and Thomas, N., 2021, ‘CaSSIS color and multi-angular observations of Martian slope streaks’, Planetary and Space Science, 209, https://oro.open.ac.uk/79862/.
  • Pourkhorsandi, H., Debaille, V., Gattacceca, J., Greenwood, R. C., Leduc, T., De Ceukelaire, M., Decrée, S. and Goderis, S., 2021, ‘Tintigny meteorite: the first Belgian achondrite’, Planetary and Space Science, 209, https://oro.open.ac.uk/79804/.
  • Webster, B., Croston, J. H., Harwood, J. J., Baldi, R. D., Hardcastle, M. J., Mingo, B. and Röttgering, H. J. A., 2021, ‘Investigating the spectra and physical nature of galaxy scale jets’, Monthly Notices of the Royal Astronomical Society, 508(4), pp. 5972–5990., https://oro.open.ac.uk/79736/.
  • Reed, A., Dooley, L. and Kouadri Mostéfaoui, S., 2021, ‘A Reliable Real Time Slow Dos Detection Framework for Resource Constrained Iot Networks’, in IEEE Global Telecommunications (GLOBECOM 2021), 7-11 Dec 2021, Madrid Spain., https://oro.open.ac.uk/79542/.
  • Rast, J. P., D'Alessio, S., Kraev, I. and Lange, S., 2021, ‘Post-translational protein deimination signatures in sea lamprey (Petromyzon marinus) plasma and plasma-extracellular vesicles’, Developmental and comparative immunology, 125, https://oro.open.ac.uk/78625/.
  • Withington, L., Diaz Pardo de Vera, D., Guest, C., Mancini, C. and Piwek, P., 2021, ‘Artificial Neural Networks for classifying the time series sensor data generated by medical detection dogs’, Expert Systems with Applications, 184, https://oro.open.ac.uk/78167/.