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Precision surface characterization for finish cylindrical milling with dynamic tool displacements model
Wojciechowski, S., Twardowski, P., Pelic, M., Maruda, R. W., Barrans, S. & Krolczyk, G. M., 1 Oct 2016, In: Precision Engineering. 46, p. 158-165 8 p.Research output: Contribution to journal › Article › peer-review
Open Access61 Citations (Scopus) -
Precision Surface Measurement
Jiang, X., 16 Jul 2012, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 370, 1973, p. 4089-4114 26 p.Research output: Contribution to journal › Article › peer-review
Open Access32 Citations (Scopus) -
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 Access35 Citations (Scopus) -
Predicative Possessives, Relational Nouns, and Floating Quantifiers
Tsoulas, G. & Woods, R., 2018, In: Linguistic Inquiry.Research output: Contribution to journal › Article › peer-review
Open Access1 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 Access33 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 Access14 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 Access104 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 Access29 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 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 Access1 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 AccessFile1 Citation (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 AccessFile -
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 AccessFile8 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 Access169 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-20V3
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 AccessFile45 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 Access10 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 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 Access11 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 Access9 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 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 AccessFile4 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 AccessFile8 Citations (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 Access6 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 Access101 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 AccessFile5 Citations (Scopus) -
Prediction of Surface Topography at the End of Sliding Running-In Wear Based on Areal Surface Parameters
Lu, W., Zhang, G., Liu, X., Zhou, L., Chen, L. & Jiang, X., 2014, In: Tribology Transactions. 57, 3, p. 553-560 8 p.Research output: Contribution to journal › Article › peer-review
22 Citations (Scopus) -
Prediction of the Clinical Course of Low-Back Trouble Using Multivariable Models
Burton, A. K. & Tillotson, K. M., 1 Jan 1991, In: Spine. 16, 1, p. 7-14 8 p.Research output: Contribution to journal › Article › peer-review
49 Citations (Scopus) -
Prediction of the effect of formulation on the toxicity of chemicals
Mistry, P., Neagu, D., Sanchez-Ruiz, A., Trundle, P. R., Vessey, J. D. & Gosling, J. P., 1 Jan 2017, In: Toxicology Research. 6, 1, p. 42-53 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of wheel and rail wear under different contact conditions using artificial neural networks
Shebani, A. & Iwnicki, S., 15 Jul 2018, In: Wear. 406-407, p. 173-184 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile62 Citations (Scopus) -
Predictive models and abstract argumentation: the case of high-complexity semantics
Vallati, M., Cerutti, F. & Giacomin, M., 18 Apr 2019, In: Knowledge Engineering Review. 34, p. 1-23 23 p., e6.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Predictive Wheel-rail Management in London Underground: Validation and Verification
Vickerstaff, A., Bevan, A. & Boyacioglu, P., 1 Apr 2020, In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 234, 4, p. 393-404 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus) -
Predictors and Associates of Problem–Reaction–Solution: Statistical Bias, Emotion-Based Reasoning, and Belief in the Paranormal
Drinkwater, K., Dagnall, N., Denovan, A., Parker, A. & Clough, P., 19 Mar 2018, In: SAGE Open. 8, 1, 11 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus)