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• Uncertainty in determining extreme precipitation thresholds

  Liu, B., Chen, J., Chen, X., Lian, Y. & Wu, L., Oct 30 2013, In: Journal of Hydrology. 503, p. 233-245 13 p.

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

• Uncertainty in estimating distances from memory

  Radvansky, G. A., Carlson-Radvansky, L. A. & Irwin, D. E., Sep 1995, In: Memory & Cognition. 23, 5, p. 596-606 11 p.

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

• Uncertainty in forecasts of long-run economic growth

  Christensen, P., Gillingham, K. & Nordhaus, W., May 22 2018, In: Proceedings of the National Academy of Sciences of the United States of America. 115, 21, p. 5409-5414 6 p.

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

  Open Access

• Uncertainty in measurements of the photorespiratory CO₂ compensation point and its impact on models of leaf photosynthesis

  Walker, B. J., Orr, D. J., Carmo-Silva, E., Parry, M. A. J., Bernacchi, C. J. & Ort, D. R., Jun 1 2017, In: Photosynthesis research. 132, 3, p. 245-255 11 p.

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

• Uncertainty in pin-on-disk wear volume measurements using surface scanning techniques

  Colbert, R. S., Krick, B. A., Dunn, A. C., Vail, J. R., Argibay, N. & Sawyer, W. G., Apr 2011, In: Tribology Letters. 42, 1, p. 129-131 3 p.

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

• Uncertainty in suspended sediment transport curves

  Demissie, M. & Fitzpatrick, W. P., Jan 1990, In: Journal of Hydraulic Engineering. 116, 1, p. 141-143 3 p.

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

• Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions

  Huntzinger, D. N., Michalak, A. M., Schwalm, C., Ciais, P., King, A. W., Fang, Y., Schaefer, K., Wei, Y., Cook, R. B., Fisher, J. B., Hayes, D., Huang, M., Ito, A., Jain, A. K., Lei, H., Lu, C., Maignan, F., Mao, J., Parazoo, N., Peng, S., & 7 othersPoulter, B., Ricciuto, D., Shi, X., Tian, H., Wang, W., Zeng, N. & Zhao, F., Dec 1 2017, In: Scientific reports. 7, 1, 4765.

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

  Open Access

• Uncertainty management

  Knobloch, L. K. & McAninch, K. G., Jan 1 2014, Interpersonal Communication. Walter de Gruyter GmbH, p. 297-319 23 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Uncertainty management and reduction of machine learning potential

  Singh, A. & Li, Y., 2021, AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, p. 1-9 9 p. (AIAA Scitech 2021 Forum).

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

• Uncertainty management in the unit commitment problem

  Ruiz, P. A., Philbrick, C. R., Zak, E., Cheung, K. W. & Sauer, P. W., 2009, In: IEEE Transactions on Power Systems. 24, 2, p. 642-651 10 p.

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

• Uncertainty of estimates of groundwater yield for the Cambrian-Ordovician Aquifer in northeastern Illinois

  Walker, D. D., Meyer, S. C. & Winstanley, D., 2003, Groundwater Quality Modeling and Management Under Uncertinity. Mishra, S. (ed.). ASCE - American Society of Civil Engineers, p. 273-283 11 p. (Groundwater Quality Modeling and Management Under Uncertinity).

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

• Uncertainty of mobilized undrained shear strength

  Tang, W., Mesri, G. & Halim, I., 1992, In: Soils and Foundations. 32, 4, p. 107-116 10 p.

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

  Open Access

• Uncertainty of Model Parameters in PSDDF for Coastal Restoration

  Stark, T. D. & Jafari, N. H., 2016, In: Geotechnical Special Publication. 2016-January, 273 GSP, p. 492-500 9 p.

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

• Uncertainty of nitrate-N load computations for agricultural watersheds

  Guo, Y., Markus, M. & Demissie, M., Oct 1 2002, In: Water Resources Research. 38, 10, p. 3-1-3-12

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

• Uncertainty of weekly nitrate-nitrogen forecasts using artificial neural networks

  Markus, M., Tsai, C. W. S. & Demissie, M., Mar 2003, In: Journal of Environmental Engineering. 129, 3, p. 267-274 8 p.

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

• Uncertainty Principle for Quantum Channels

  Gao, L., Junge, M. & Laracuente, N., Aug 15 2018, 2018 IEEE International Symposium on Information Theory, ISIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 996-1000 5 p. 8437730. (IEEE International Symposium on Information Theory - Proceedings; vol. 2018-June).

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

• Uncertainty propagation in risk and resilience analysis of hierarchical systems

  Tabandeh, A., Sharma, N. & Gardoni, P., Mar 2022, In: Reliability Engineering and System Safety. 219, 108208.

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

• Uncertainty propagation in simulation predictions of generalized Newtonian fluid flows

  Kim, J., Singh, P. K., Freund, J. B. & Ewoldt, R. H., Sep 2019, In: Journal of Non-Newtonian Fluid Mechanics. 271, 104138.

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

• Uncertainty Quantification Analysis on Mechanical Properties of the Structured Silicon Anode via Surrogate Models

  Zheng, Z., Xu, Y. & Wang, P., Apr 2021, In: Journal of the Electrochemical Society. 168, 4, 040508.

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

  Open Access

• Uncertainty Quantification Analysis on Silicon Electrodeposition Process Via Numerical Simulation Methods

  Zheng, Z. & Wang, P., Mar 2022, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 8, 1, 011105.

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

  Open Access

• Uncertainty quantification for coupled Monte Carlo and thermal-hydraulics codes

  Wu, X. & Kozlowski, T., 2014, In: Transactions of the American Nuclear Society. 110, p. 189-191 3 p.

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

• Uncertainty quantification for Markov chain models

  Meidani, H. & Ghanem, R., Oct 4 2012, In: Chaos. 22, 4, 043102.

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

• Uncertainty quantification for steady-state PSBT benchmark using surrogate models

  Borowiec, K., Wang, C., Kozlowski, T. & Brooks, C. S., 2017, In: Transactions of the American Nuclear Society. 117, p. 119-122 4 p.

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

• Uncertainty quantification for the impact of injection rate fluctuation on the geomechanical response of geological carbon sequestration

  Bao, J., Chu, Y., Xu, Z., Tartakovsky, A. M. & Fang, Y., Jan 2014, In: International Journal of Greenhouse Gas Control. 20, p. 160-167 8 p.

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

• Uncertainty Quantification in Scale-Dependent Models of Flow in Porous Media

  Tartakovsky, A. M., Panzeri, M., Tartakovsky, G. D. & Guadagnini, A., Nov 2017, In: Water Resources Research. 53, 11, p. 9392-9401 10 p.

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

  Open Access

• Uncertainty quantification in three dimensional natural convection using polynomial chaos expansion and deep neural networks

  Shahane, S., Aluru, N. R. & Vanka, S. P., Aug 2019, In: International Journal of Heat and Mass Transfer. 139, p. 613-631 19 p.

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

• Uncertainty quantification of artificial neural network based machine learning potentials

  Li, Y., Xiao, W. & Wang, P., 2018, Materials: Genetics to Structures. American Society of Mechanical Engineers (ASME), (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); vol. 12).

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

• Uncertainty quantification of BWR criticality safety simulations

  Radaideh, M. I., Price, D. & Kozlowski, T., 2018, International Conference on Physics of Reactors, PHYSOR 2018: Reactor Physics Paving the Way Towards More Efficient Systems. Sociedad Nuclear Mexicana, A.C., p. 2866-2877 12 p. (International Conference on Physics of Reactors, PHYSOR 2018: Reactor Physics Paving the Way Towards More Efficient Systems; vol. Part F168384-5).

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

• Uncertainty quantification of diffusion maps

  Meidani, H. & Ghanem, R., 2013, Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. p. 845-848 4 p. (Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013).

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

• Uncertainty quantification of MEMS using a data-dependent adaptive stochastic collocation method

  Alwan, A. & Aluru, N. R., Oct 15 2011, In: Computer Methods in Applied Mechanics and Engineering. 200, 45-46, p. 3169-3182 14 p.

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

• Uncertainty quantification of model-form and predictive uncertainties in nuclear codes using Bayesian framework

  Radaideh, M. I., Borowiec, K. & Kozlowski, T., 2019, International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. American Nuclear Society, p. 2775-2784 10 p. (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019).

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

• Uncertainty quantification of solute transport coefficients

  Agarwal, R. & Trinkle, D. R., Jan 1 2020, Uncertainty Quantification in Multiscale Materials Modeling. Elsevier, p. 93-118 26 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Uncertainty quantification of trace wall heat transfer modeling in subcooled boiling using bfbt experiments

  Hu, G., Kozlowski, T. & Brooks, C., 2015, International Topical Meeting on Nuclear Reactor Thermal Hydraulics 2015, NURETH 2015. American Nuclear Society, p. 3768-3778 11 p. (International Topical Meeting on Nuclear Reactor Thermal Hydraulics 2015, NURETH 2015; vol. 5).

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

• Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids

  Lin, G., Tartakovsky, A. M. & Tartakovsky, D. M., 2010, In: Journal of Computational Physics. 229, 19, p. 6995-7012 18 p.

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

• Uncertainty quantification with MCMC method and BFBT data

  Hu, G. & Kozlowski, T., 2016, In: Transactions of the American Nuclear Society. 114, 1, p. 921-923 3 p.

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

• Uncertainty quantified matrix completion using bayesian hierarchical matrix factorization

  Fazayeli, F., Banerjee, A., Kattge, J., Schrodt, F. & Reich, P. B., Feb 5 2014, Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014. Ferri, C., Qu, G., Chen, X., Wani, M. A., Angelov, P. & Lai, J-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 312-317 6 p. 7033133. (Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014).

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

• Uncertainty reduction for knowledge discovery and information extraction on the world wide web

  Ji, H., Deng, H. & Han, J., 2012, In: Proceedings of the IEEE. 100, 9, p. 2658-2674 17 p., 6212297.

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

• Uncertain Waters: Participatory groundwater modelling in Chicago's suburbs

  Mannix, D. H., Birkenholtz, T. L., Abrams, D. B. & Cullen, C., Jun 2022, In: Geoforum. 132, p. 182-194 13 p.

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

• Un cheikh soufi peut-il être un héros moderne? Le cheikh égyptien Ahmad Radwân

  Hoffman, V. J., 2002, Saints et héros du Moyen-Orient contemporain: Actes du colloque des 11 et 12 décembre 2000, à l'Institut universitaire de France. Mayeur-Jaouen, C. (ed.). Paris: Maisonneuve & Larose, p. 177-188 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Uncivil and personal? Comparing patterns of incivility in comments on the Facebook pages of news outlets

  Su, L. Y. F., Xenos, M. A., Rose, K. M., Wirz, C., Scheufele, D. A. & Brossard, D., Oct 1 2018, In: New Media and Society. 20, 10, p. 3678-3699 22 p.

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

• Un-civil society: The politics of the 'informal people'

  Bayat, A., 2012, International Handbook on Informal Governance. Edward Elgar Publishing, p. 174-197 24 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Un-civil society: The politics of the 'informal people'

  Bayat, A., 1997, In: Third World Quarterly. 18, 1, p. 53-72 20 p.

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

  Open Access

• Uncivil Youth: Race, Activism and Affirmative Governmentality

  Kwon, S. A., Apr 2013, Durham: Duke University Press. 184 p.

  Research output: Book/Report/Conference proceeding › Book

• Uncoded Binary Signaling through Modulo AWGN Channel

  Tabak, G. & Singer, A., Nov 1 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 511-515 5 p. 9443528. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).

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

• Un combate amistoso sobre combate moral: Respuesta a mis críticos

  Translated title of the contribution: Friendly combat over moral combat: A reply to my criticsHurd, H. M., Dec 2020, In: Problema. 14, p. 147-172 26 p.

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

  Open Access

• Uncommon Techniques with Predators and Prey: An Empirical Test of Quantifying the Diets of Fish with Fatty Acid-Based Models

  Happel, A., Pike, J., Czesny, S. J. & Rinchard, J., 2017, Private Landscapes, Public Responsibilities: 77th Midwest Fish & Wildlife Conference, February 5-7, 2017, Lincoln, Nebraska.

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

• Un compagno di viaggio del primo Furioso: alcune osservazioni sul Rugino di Pierfrancesco de' Conti

  Stoppino, E., 2018, Di donne e cavallier: intorno al primo Furioso. Zampese, C. (ed.). Ledizioni, p. 181-195 (Biblioteca di Carte Romanze; vol. 8).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Unconditional basic sequences and homogeneous hilbertian subspaces of non-commutative L_p spaces

  Junge, M. & Oikhberg, T., 2007, In: Indiana University Mathematics Journal. 56, 2, p. 733-766 34 p.

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

• Unconditionally energy stable implicit time integration: Application to multibody system analysis and design

  Chen, S., Hansen, J. M. & Tortorelli, D. A., Jun 30 2000, In: International Journal for Numerical Methods in Engineering. 48, 6, p. 791-822 32 p.

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

• Unconditional Orthonormal Systems

  Defant, M. & Junge, M., 1992, In: Mathematische Nachrichten. 158, 1, p. 233-240 8 p.

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