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• Preclinical anti-cancer activity and multiple mechanisms of action of a cationic silver complex bearing N-heterocyclic carbene ligands

  Allison, S. J., Sadiq, M., Baronou, E., Cooper, P. A., Dunnill, C., Georgopoulos, N. T., Latif, A., Shepherd, S., Shnyder, S. D., Stratford, I. J., Wheelhouse, R. T., Willans, C. E. & Phillips, R. M., 10 Sep 2017, In: Cancer Letters. 403, p. 98-107 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  35 Citations (Scopus)

• Preclinical models of glioblastoma: limitations of current models and the promise of new developments

  Liu, P., Griffiths, S., Veljanoski, D., Vaughn-Beaucaire, P., Speirs, V. & Brüning-Richardson, A., 2 Dec 2021, In: Expert Reviews in Molecular Medicine. 23, 14 p., e20.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

• Predicaments of Coloniality, or, Opera Studies Goes Ethno

  Pistorius, J., 23 Aug 2019, In: Music and Letters. p. 1-11 11 p.

  Research output: Contribution to journal › Review article

• Predicative Possessives, Relational Nouns, and Floating Quantifiers

  Tsoulas, G. & Woods, R., 2018, In: Linguistic Inquiry.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment

  Gupta, R., Lau Chi Keung, M. & Nyakabawo, W., 29 Jan 2020, In: Journal of Reviews on Global Economics. 9, p. 30-46 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting and Preventing: Developing a Risk Assessment Mechanism for Residential Housing

  Armitage, R., Jul 2006, In: Crime Prevention and Community Safety. 8, 3, p. 137-149 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  33 Citations (Scopus)

• Predicting and Preventing the Theft of Electronic Products

  Armitage, R. & Pease, K., Mar 2008, In: European Journal on Criminal Policy and Research. 14, 1, p. 11-37 27 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  14 Citations (Scopus)

• Predicting change for individual psychotherapy clients based on their nearest neighbors

  Lutz, W., Leach, C., Barkham, M., Lucock, M., Stiles, W. B., Evans, C., Noble, R. & Iveson, S., Oct 2005, In: Journal of Consulting and Clinical Psychology. 73, 5, p. 904-913 10 p.

  Research output: Contribution to journal › Article › peer-review
  97 Citations (Scopus)

• Predicting community violence from patients discharged from acute mental health units in England

  Doyle, M., Carter, S., Shaw, J. & Dolan, M., 1 Apr 2012, In: Social Psychiatry and Psychiatric Epidemiology. 47, 4, p. 627-637 11 p.

  Research output: Contribution to journal › Article › peer-review
  34 Citations (Scopus)

• Predicting community violence from patients discharged from mental health services

  Doyle, M. & Dolan, M., Dec 2006, In: British Journal of Psychiatry. 189, 6, p. 520-526 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  103 Citations (Scopus)

• Predicting cooperation in competitive conditions: The role of sportspersonship, moral competence, and emotional intelligence

  Perry, J. L. & Clough, P. J., 1 Jul 2017, In: Psychology of Sport and Exercise. 31, p. 88-92 5 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Predicting creditworthiness in retail banking with limited scoring data

  Abdou, H. A., Tsafack, M. D. D., Ntim, C. G. & Baker, R. D., 1 Jul 2016, In: Knowledge-Based Systems. 103, p. 89-103 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  29 Citations (Scopus)

• Predicting Criminality? Risk Factors, Neighbourhood Influence and Desistance

  Webster, C., Macdonald, R. & Simpson, M., 1 Apr 2006, In: Youth Justice. 6, 1, p. 7-22 16 p.

  Research output: Contribution to journal › Article › peer-review
  75 Citations (Scopus)

• Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning

  Stamate, D., Alghamdi, W., Stahl, D., Pu, I., Murtagh, F., Belgrave, D., Murray, R. & di Forti, M., 18 May 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Medina, J., Ojeda-Aciego, M., Verdegay, J. L., Perfilieva, I., Bouchon-Meunier, B. & Yager, R. R. (eds.). Cham: Springer Verlag, p. 691-702 12 p. (Communications in Computer and Information Science; vol. 855).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

• Predicting GP visits: A multinomial logistic regression investigating GP visits amongst a cohort of UK patients living with Myalgic encephalomyelitis

  Walsh, R. S., Denovan, A., Drinkwater, K., Reddington, S. & Dagnall, N., 10 Jun 2020, In: BMC Family Practice. 21, 8 p., 105.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Predicting human intestinal absorption in the presence of bile salt with micellar liquid chromatography

  Waters, L. J., Shokry, D. S. & Parkes, G. M. B., 1 Oct 2016, In: Biomedical Chromatography. 30, 10, p. 1618-1624 7 p.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Predicting intention to uptake H1N1 influenza vaccine in a university sample

  Byrne, C., Walsh, J., Kola, S. & Sarma, K. M., 1 Sep 2012, In: British Journal of Health Psychology. 17, 3, p. 582-595 14 p.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Predicting Lift-Off Time When Deep-Frying Potato Dough Snacks

  Babb, T., Benham, G. P., Bows, J., Gonzalez-Farina, R., Kiradjiev, K. B., Lee, W. & Tibos, S., 26 Apr 2021, In: SIAM Journal on Applied Mathematics. 81, 2, p. 574-590 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  1 Citation (Scopus)

• Predicting mechanical behavior of novel sandwich composite panels based on 3D warp-knitted spacer fabrics using Finite Element Method (FEM)

  Velosa, J. C., Rana, S., Fangueiro, R. & Marques, S., 2012, Proceedings of the 15th European Conference on Composite Materials: ECCM15 Composites at Venice 2012. European Society for Composite Materials, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access
  4 Citations (Scopus)

• Predicting Oil Film performance in a Journal Bearing based on Modulation Signal Bispectrum analysis of Vibration Signals

  Hassin, O., Yao, A., Zhang, H. C., Gu, F. & Ball, A., 1 Jul 2017, In: International Journal of COMADEM. 20, 3, p. 19-24 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Predicting Oncotype DX Recurrence Scores using locally available immunohistochemical markers: Experience in a District General Hospital

  Humphris, K., Stephenson, J. & Kumaraswamy, V., 13 Dec 2021, (E-pub ahead of print) In: Journal of Clinical Pathology. 4 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Predicting particle accelerator failures using binary classifiers

  Rescic, M., Seviour, R. & Blokland, W., 1 Mar 2020, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 955, 8 p., 163240.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  8 Citations (Scopus)

• Predicting P-Glycoprotein Effects on Oral Absorption: Correlation of Transport in Caco-2 with Drug Pharmacokinetics in Wild-Type and mdr1a(-/-) Mice in Vivo

  Collett, A., Tanianis-Hughes, J., Hallifax, D. & Warhurst, G., May 2004, In: Pharmaceutical Research. 21, 5, p. 819-826 8 p.

  Research output: Contribution to journal › Article › peer-review
  56 Citations (Scopus)

• Predicting phishing websites based on self-structuring neural network

  Mohammad, R. M., Thabtah, F. & McCluskey, L., 21 Nov 2013, In: Neural Computing and Applications. 25, 2, p. 443-458 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  169 Citations (Scopus)

• Predicting plastic deformation and work hardening during V-band formation

  Muller, M., Barrans, S. M. & Blunt, L., 1 Apr 2011, In: Journal of Materials Processing Technology. 211, 4, p. 627-636 10 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Predicting Post-Discharge Community Violence in England and Wales Using the HCR-20^V3

  Doyle, M., Power, L. A., Coid, J., Kallis, C., Ullrich, S. & Shaw, J., 1 Apr 2014, In: International Journal of Forensic Mental Health. 13, 2, p. 140-147 8 p.

  Research output: Contribution to journal › Article › peer-review
  31 Citations (Scopus)

• Predicting stock market performance: The influence of gender and personality on financial decision making

  Plieger, T., Grünhage, T., Duke, É. & Reuter, M., 1 Apr 2021, In: Journal of Individual Differences. 42, 2, p. 64-73 10 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Predicting supply chain risks using machine learning: The trade-off between performance and interpretability

  Baryannis, G., Dani, S. & Antoniou, G., 1 Dec 2019, In: Future Generation Computer Systems. 101, p. 993-1004 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  45 Citations (Scopus)

• Predicting the Dynamic Response of Dual-Rotor System Subject to Interval Parametric Uncertainties Based on the Non-Intrusive Metamodel

  Fu, C., Feng, G., Ma, J., Lu, K., Yang, Y. & Gu, F., 7 May 2020, In: Mathematics. 8, 5, 15 p., 736.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  10 Citations (Scopus)

• Predicting the Future in Perceptual-Motor Domains

  Suss, J. & Ward, P., 26 Jan 2015, The Cambridge Handbook of Applied Perception Research. Hoffman, R. R., Hancock, P. A., Scerbo, M. W., Parasuraman, R. & Szalma, J. L. (eds.). Cambridge University Press, p. 951-976 26 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
  10 Citations (Scopus)

• Predicting the gastrointestinal behaviour of modified-release products: Utility of a novel dynamic dissolution test apparatus involving the use of bicarbonate buffers

  Merchant, H., Goyanes, A., Parashar, N. & Basit, A. W., 20 Nov 2014, In: International Journal of Pharmaceutics. 475, 1-2, p. 585-591 7 p.

  Research output: Contribution to journal › Article › peer-review
  38 Citations (Scopus)

• Predicting the solar energy and space-heating energy performance for solid-wall detached house retrofitted with the composite edge-sealed triple vacuum glazing

  Memon, S. & Eames, P. C., 11 Sep 2017, In: Energy Procedia. 122, p. 565-570 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access
  12 Citations (Scopus)

• Predicting the suitability of microwave formulation using microwave differential thermal analysis (MWDTA)

  Waters, L. J., Ahmad, S. A. & Parkes, G. M. B., 1 Jan 2020, In: Journal of Thermal Analysis and Calorimetry. 139, 1, p. 383-392 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting tumor responses to mitomycin C on the basis of DT-diaphorase activity or drug metabolism by tumor homogenates: implications for enzyme-directed bioreductive drug development

  Phillips, R. M., Burger, A. M., Loadman, P. M., Jarrett, C. M., Swaine, D. J. & Fiebig, H-H., 15 Nov 2000, In: Cancer Research. 60, 22, p. 6384-90 7 p.

  Research output: Contribution to journal › Article › peer-review
  34 Citations (Scopus)

• Predicting visual outcomes in patients treated with aflibercept for neovascular age-related macular degeneration: Data from a real-world clinical setting

  Fulcher, C., Hazel, C. A., Pacey, I., Ali, H. & Ghanchi, F. D., 1 May 2020, In: European Journal of Ophthalmology. 30, 3, p. 543–549 7 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Prediction and analysis of engine friction power of a diesel engine influenced by engine speed, load, and lubricant viscosity

  Singh, D., Gu, F., Fieldhouse, J. D., Singh, N. & Singal, S. K., 9 Dec 2014, In: Advances in Tribology. 2014, 928015.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  11 Citations (Scopus)

• Prediction models for density and viscosity of biodiesel and their effects on fuel supply system in CI engines

  Tesfa, B., Mishra, R., Gu, F. & Powles, N., Dec 2010, In: Renewable Energy. 35, 12, p. 2752-2760 9 p.

  Research output: Contribution to journal › Article › peer-review
  146 Citations (Scopus)

• Prediction of antilock braking system condition with the vehicle stationary using a model-based approach

  Shi, Z., Legate, I., Gu, F., Fieldhouse, J. & Ball, A., Jun 2010, In: International Journal of Automotive Technology. 11, 3, p. 363-373 11 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Prediction of drug-related problems in diabetic outpatients in a number of hospitals, using a modeling approach

  Al-Taani, G. M., Al-Azzam, S. I., Alzoubi, K. H., Elhajji, F. W. D., Scott, M. G., Alfahel, H. & Aldeyab, M. A., 28 Jul 2017, In: Drug, Healthcare and Patient Safety. 9, p. 65-70 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  9 Citations (Scopus)

• Prediction of entrained droplet fraction in co-current annular gas–liquid flow in vertical pipes

  Aliyu, A. M., Almabrok, A. A., Baba, Y. D., Archibong, A. E., Lao, L., Yeung, H. & Kim, K. C., 1 Jul 2017, In: Experimental Thermal and Fluid Science. 85, p. 287-304 18 p.

  Research output: Contribution to journal › Article › peer-review
  25 Citations (Scopus)

• Prediction of Ground-Borne Vibration Generated at Railway Crossings Using a Hybrid Model

  Ntotsios, E., Kostovasilis, D., Thompson, D. J., Squicciarini, G. & Bezin, Y., 9 Apr 2021, Noise and Vibration Mitigation for Rail Transportation Systems: Proceedings of the 13th International Workshop on Railway Noise, 16-20 September 2019, Ghent, Belgium. Degrande, G., Lombaert, G., Anderson, D., de Vos, P., Gautier, P-E., Iida, M., Nelson, J. T., Nielson, J. C. O., Thompson, D. J., Tielkes, T. & Towers, D. A. (eds.). 1st ed. Cham: Springer Nature Switzerland AG, Vol. 150 NNFM. p. 420-428 9 p. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; vol. 150 NNFM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• Prediction of human intestinal absorption using micellar liquid chromatography with an aminopropyl stationary phase

  Shokry, D. S., Waters, L. J., Parkes, G. M. B. & Mitchell, J. C., 1 Jul 2019, In: Biomedical Chromatography. 33, 7, e4515.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  4 Citations (Scopus)

• Prediction of Low-Back Trouble Frequency in a Working Population

  Burton, A. K., Tillotson, K. M. & Troup, J. D. G., 1 Sep 1989, In: Spine. 14, 9, p. 939-946 8 p.

  Research output: Contribution to journal › Article › peer-review
  64 Citations (Scopus)

• Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms

  Ferreño, D., Sainz-Aja, J. A., Carrascal, I. A., Cuartas, M., Pombo, J., Casado, J. A. & Diego, S., 1 Jan 2021, In: Advances in Engineering Software. 151, 11 p., 102927.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  8 Citations (Scopus)

• Prediction of metal PM emission in rail tracks for condition monitoring application

  Tesfa, B., Gu, F., Anyakwo, A., Al Thobiani, F. & Ball, A., 2011, 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. 581 CP ed. Vol. 2011.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  1 Citation (Scopus)

• Prediction of Pressure Gradient in Two and Three-Phase Flows in Vertical Pipes Using an Artificial Neural Network Model

  Ribeiro, J. X. F., Liao, R., Aliyu, A. M. & Liu, Z., 1 Jul 2019, In: International Journal of Engineering and Technology Innovation. 9, 3, p. 155-170 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  6 Citations (Scopus)

• Prediction of Preterm Deliveries from EHG Signals Using Machine Learning

  Fergus, P., Cheung, P., Hussain, A., Al-jumeily, D., Dobbins, C., Iram, S. & Wei, Z. (ed.), 28 Oct 2013, In: PLoS One. 8, 10, 16 p., e77154.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  101 Citations (Scopus)

• Prediction of rail corrugation using a rotating flexible wheelset coupled with a flexible track model and a non-Hertzian/non-steady contact model

  Baeza, L., Vila, P., Xie, G. & Iwnicki, S. D., 29 Aug 2011, In: Journal of Sound and Vibration. 330, 18-19, p. 4493-4507 15 p.

  Research output: Contribution to journal › Article › peer-review
  51 Citations (Scopus)

• Prediction of rail damage using a combination of Shakedown Map and wheel-rail contact energy

  Boyacioglu, P. & Bevan, A., 15 Nov 2020, In: Wear. 460-461, 15 p., 203457.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  5 Citations (Scopus)

• Prediction of RCF Damage on Underground Metro Lines

  Boyacioglu, P., Bevan, A. & Vickerstaff, A., 10 Jul 2017, ICRT 2017: Railway Development, Operations, and Maintenance. Zhai, W. & Wang, K. C. P. (eds.). American Society of Civil Engineers (ASCE), p. 207-225 18 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access
  4 Citations (Scopus)