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  1. Article › Research › Peer-reviewed
  2. Published

    Predicting the distribution of a portunid crab in Patagonian coastal waters

    de la Barra, P., Svendsen, G., Romero, M. A., Avaca, M. S. & Narvarte, M., 19 Mar 2020, In: Marine Ecology Progress Series. 638, p. 95-105

    Research output: Contribution to journalArticlepeer-review

  3. Published

    Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models

    Vierod, A. D., Guinotte, J. M. & Davies, A. J., Jan 2014, In: Deep Sea Research Part II: Topical Studies in Oceanography. 99, p. 6-18

    Research output: Contribution to journalArticlepeer-review

  4. Published

    Predicting the effects of area closures and fishing effort restrictions on the production, biomass, and species richness of benthic invertebrate communities

    Hiddink, J. G., Hutton, T., Jennings, S. & Kaiser, M. J., 1 Jun 2006, In: ICES Journal of Marine Science. 63, 5, p. 822-830

    Research output: Contribution to journalArticlepeer-review

  5. Predicting the formation and stability of single phase high-entropy alloys

    King, D. J. M., Middleburgh, S. C., McGregor, A. G. & Cortie, M. B., 1 Feb 2016, In: Acta Materialia. 104, p. 172-179

    Research output: Contribution to journalArticlepeer-review

  6. Published

    Predicting the impacts of Carcinus maenas predation on cultivated Mytilus edulis beds.

    Murray, L. G., Seed, R. & Jones, T., 1 Dec 2007, In: Journal of Shellfish Research. 26, 4, p. 1089-1098

    Research output: Contribution to journalArticlepeer-review

  7. Published

    Predicting the impacts of climate change on Papio baboon biogeography: Are widespread, generalist primates 'safe'?

    Hill, S. E. & Winder, I., Jul 2019, In: Journal of Biogeography. 46, 7, p. 1380-1405

    Research output: Contribution to journalArticlepeer-review

  8. Predicting the impacts of climate change on the distribution of threatened forest-restricted birds in Madagascar

    Andriamasimanana, R. H. & Cameron, A., Apr 2013, In: Ecology and Evolution. 3, 4, p. 763-769 7 p.

    Research output: Contribution to journalArticlepeer-review

  9. Published

    Predicting the occurrence of the quokka, Setonix brachyurus (Macropodidae : Marsupialia), in Western Australia’s northern jarrah forest

    Hayward, M., De Tores, P. J., Dillon, M. J. & Banks, P. B., 2007, In: Wildlife Research. 34, 3, p. 194-199

    Research output: Contribution to journalArticlepeer-review

  10. Published

    Predicting the potential threat of Casuarina equisetifolia to three endemic plant species on the Turks and Caicos Islands

    Hardman, C. J., Williams, S., Manco, B. N. & Hamilton, M. A., 2 Apr 2012, In: Oryx. 46, 02, p. 204-212

    Research output: Contribution to journalArticlepeer-review

  11. Published

    Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe

    Kurganskiy, A., Creer, S., De Vere, N., Griffith, G. W., Osborne, N. J., Wheeler, B. W., McInnes, R. N., Clewlow, Y., Barber, A., Brennan, G., Hanlon, H. M., Hegarty, M. J., Potter, C., Rowney, F. M., Adams-Groom, B., Petch, G. M., Pashley, C. H., Satchwell, J., De Weger, L. A., Rasmussen, K., Oliver, G., Sindt, C., Bruffaerts, N., The PollerGEN Consortium & Skjoth, C. A., 26 Mar 2021, In: Science Advances. 7, 13, eabd7658.

    Research output: Contribution to journalArticlepeer-review

  12. Published

    Predicting the spatial expansion of an animal population with presence-only data

    Barton, O., Healey, J., Cordes, L., Davies, A. & Shannon, G., Nov 2023, In: Ecology and Evolution. 13, 11, p. e10778 e10778.

    Research output: Contribution to journalArticlepeer-review

  13. Published

    Predicting the spectral information of future land cover using machine learning

    Patil, S., Gu, Y., Dias, A., Steiglitz, M. & Turk, G., 2017, In: International Journal of Remote Sensing. 38, p. 5592-5607

    Research output: Contribution to journalArticlepeer-review

  14. Published

    Predicting the thermal expansion of body-centred cubic (BCC) high entropy alloys in the Mo-Nb-Ta-Ti-W system

    Wilson, J., Evitts, L. J., Fraile, A., Wilson, R., Rushton, M., Goddard, D., Lee, B. & Middleburgh, S., 1 Jul 2022, In: Journal of Physics: Energy. 4, 3, 034002.

    Research output: Contribution to journalArticlepeer-review

  15. Published

    Predicting undergraduate students’ learning from a lecture: The role of self-control, motivation, and mental effort.

    Owen, R., Blanchfield, A. & Gottwald, V., 31 May 2022, In: Cylchgrawn Addysg Cymru/The Welsh Journal of Education. 24, 1, p. 1-17 17 p., 24.

    Research output: Contribution to journalArticlepeer-review

  16. Prediction and characterisation of radiation damage in fluorapatite

    Jay, E. E., Fossati, P. C. M., Rushton, M. J. D. & Grimes, R. W., 2015, In: Journal of Materials Chemistry A. 3, 3, p. 1164-1173 10 p.

    Research output: Contribution to journalArticlepeer-review

  17. Prediction and error-based learning in L2 processing and acquisition

    Bovolenta, G. & Marsden, E., Dec 2022, In: Studies in Second Language Acquisition. 44, 5, p. 1384-1409 26 p.

    Research output: Contribution to journalArticlepeer-review

  18. Published

    Prediction cannot be directly trained: An extension to Jones and Westermann (2021)

    Jones, S. & Westermann, G., 17 Oct 2022, In: Journal of Speech, Language and Hearing Research. 65, 10, p. 3930-3933

    Research output: Contribution to journalArticlepeer-review

  19. Prediction failure blocks the use of local semantic context

    Husband, E. M. & Bovolenta, G., Apr 2020, In: Language, Cognition and Neuroscience. 35, 3, p. 273-291 19 p.

    Research output: Contribution to journalArticlepeer-review

  20. Published

    Prediction of DXA-determined whole-body fat from skinfolds: empirical evidence for including the thigh skinfold.

    Eston, R. G., Eston, R., Rosolia, S. & Rowlands, A. V., 1 Jan 2002, In: Journal of Sports Sciences. 20, 1, p. 36

    Research output: Contribution to journalArticlepeer-review

  21. Published

    Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models

    Wibetoe, G., Sexton, J., Ikdahl, E., Rollefstad, S., Kitas, G. D., van Riel, P., Gabriel, S., Kvien, T. K., Douglas, K., Sandoo, A., Arts, E. E., Wallberg-Jonsson, S., Dahlqvist, S. R., Karpouzas, G., Dessein, P. H., Tsang, L., El-Gabalawy, H., Hitchon, C. A., Pascual-Ramos, V., Contreas-Yanes, I., Sfikakis, P. P., Gonzalez-Gay, M. A., Colunga-Pedraz, I. J., Galarza-Delgado, D. A., Azpiri-Lopez, J. R., Crowson, C. S. & Semb, A. G., 23 Apr 2020, In: Arthritis Research & Therapy. 22, 1, 90.

    Research output: Contribution to journalArticlepeer-review

  22. Published

    Prediction of cardiovascular risk in rheumatoid arthritis: performance of original and adapted SCORE algorithms.

    Sandoo, A. A., Kitas, G., Arts, A. E., Popa, C. D., Den Broeder, A. A., Donders, R., Sandoo, A., Toms, T., Rollefstad, S., Ikdahl, E., Semb, A. G., Kitas, G. D., Van Riel, P. L. & Franssen, J., 17 Feb 2015, In: Annals of the Rheumatic Diseases.

    Research output: Contribution to journalArticlepeer-review

  23. Published

    Prediction of sand transport rates by waves and currents in the coastal zone.

    Davies, A. G. & Villaret, C., 1 Dec 2002, In: Continental Shelf Research. 22, 18-19, p. 2725-2737

    Research output: Contribution to journalArticlepeer-review

  24. Published

    Prediction of time to exhaustion from blood lactate response during submaximal exercise in competitive cyclists.

    Sassi, A., Marcora, S. M., Rampinini, E., Mognoni, P. & Impellizzeri, F. M., 1 May 2006, In: European Journal of Applied Physiology. 97, 2, p. 174-180

    Research output: Contribution to journalArticlepeer-review

  25. Published

    Predictive Feedforward Control for a Hydroelectric Plant.

    Jones, D. & Mansoor, S. P., 1 Jan 2004, In: IEEE Transactions Control Systems Technology. 12, 6, p. 956-965

    Research output: Contribution to journalArticlepeer-review

  26. Predictive Modeling of Coral Disease Distribution within a Reef System

    Williams, G. J., Aeby, G. S., Cowie, R. O. M. & Davy, S. K., 17 Feb 2010, In: PLoS ONE. 5, 2, e9264.

    Research output: Contribution to journalArticlepeer-review