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  Computationally Analyzing Social Media Text for Topics: A Primer for Advertising Researchers

  Yun, J. T., Duff, B. R. L., Vargas, P. T., Sundaram, H. & Himelboim, I., Jan 2 2020, In: Journal of Interactive Advertising. 20, 1, p. 47-59 13 p.

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

• Computationally Designed ACE2 Decoy Receptor Binds SARS-CoV-2 Spike (S) Protein with Tight Nanomolar Affinity

  Havranek, B., Chan, K. K., Wu, A., Procko, E. & Islam, S. M., Sep 27 2021, In: Journal of Chemical Information and Modeling. 61, 9, p. 4656-4669 14 p.

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

• Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer

  Berger, S., Procko, E., Margineantu, D., Lee, E. F., Shen, B. W., Zelter, A., Silva, D. A., Chawla, K., Herold, M. J., Garnier, J. M., Johnson, R., Maccoss, M. J., Lessene, G., Davis, T. N., Stayton, P. S., Stoddard, B. L., Fairlie, W. D., Hockenbery, D. M. & Baker, D., Nov 2 2016, In: eLife. 5, NOVEMBER2016, e20352.

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

  Open Access

• Computationally efficient and statistically robust image reconstruction in three-dimensional diffraction tomography

  Anastasio, M. A. & Pan, X., Mar 2000, In: Journal of the Optical Society of America A: Optics and Image Science, and Vision. 17, 3, p. 391-400 10 p.

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

• Computationally efficient Bayesian sequential function monitoring

  Shamp, W., Varbanov, R., Chicken, E., Linero, A. & Yang, Y., 2021, In: Journal of Quality Technology. 54, 1, p. 1-19 19 p.

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

• Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist

  Eck, D. J. & Geyer, C. J., 2021, In: Electronic Journal of Statistics. 15, 1, p. 2105-2156 52 p.

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

  Open Access

• Computationally efficient modeling of ordering of quenched phases

  Oono, Y. & Puri, S., Jan 1 1987, In: Physical review letters. 58, 8, p. 836-839 4 p.

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

• Computationally efficient optimal power allocation algorithms for multicarrier communication systems

  Krongold, B. S., Ramchandran, K. & Jones, D. L., 2000, In: IEEE Transactions on Communications. 48, 1, p. 23-27 5 p.

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

• Computationally efficient phase-field models with interface kinetics

  Vetsigian, K. & Goldenfeld, N., Dec 1 2003, In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 68, 6 1, p. 606011-606014 4 p., 060601.

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

• Computationally efficient phase-field models with interface kinetics

  Vetsigian, K. & Goldenfeld, N., 2003, In: Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 68, 6

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

• Computational Markets to Regulate Mobile-Agent Systems

  Bredin, J., Kotz, D., Rus, D., Maheswaran, R. T., Imer, C. & Basar, T., May 2003, In: Autonomous Agents and Multi-Agent Systems. 6, 3, p. 235-263 29 p.

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

• Computational Methodologies for Real-Space Structural Refinement of Large Macromolecular Complexes

  Goh, B. C., Hadden, J. A., Bernardi, R. C., Singharoy, A., McGreevy, R., Rudack, T., Cassidy, C. K. & Schulten, K., Jul 5 2016, In: Annual Review of Biophysics. 45, p. 253-278 26 p.

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

• Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

  Zysk, A. M. & Boppart, S. A., Sep 2006, In: Journal of biomedical optics. 11, 5, 054015.

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

• Computational methods for training set selection and error assessment applied to catalyst design: Guidelines for deciding which reactions to run first and which to run next

  Zahrt, A. F., Rose, B. T., Darrow, W. T., Henle, J. J. & Denmark, S. E., Apr 2021, In: Reaction Chemistry and Engineering. 6, 4, p. 694-708 15 p.

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

• Computational Methods for Uncovering Reprinted Texts in Antebellum Newspapers

  Smith, D. A., Cordell, R. & Mullen, A., Sep 1 2015, In: American Literary History. 27, 3, p. E1-E15

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

• Computational methods in coupled electron-ion Monte Carlo simulations

  Pierleoni, C. & Ceperley, D. M., Sep 5 2005, In: ChemPhysChem. 6, 9, p. 1872-1878 7 p.

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

• Computational micromechanical analysis of the representative volume element of bituminous composite materials

  Ozer, H. & Ghauch, Z. G., Aug 1 2016, In: Mechanics of Time-Dependent Materials. 20, 3, p. 441-453 13 p.

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

• Computational microscopy of the role of protonable surface residues in nanoprecipitation oscillations

  Cruz-Chu, E. R. & Schulten, K., Aug 24 2010, In: ACS Nano. 4, 8, p. 4463-4474 12 p.

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

• Computational modeling and analysis of multiple steady states in vapor compression systems

  Mehta, P. G. & Eisenhower, B. A., Apr 1 2007, In: Journal of Computational and Nonlinear Dynamics. 2, 2, p. 132-140 9 p.

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

• Computational modeling and design of actively-cooled microvascular materials

  Soghrati, S., Thakre, P. R., White, S. R., Sottos, N. R. & Geubelle, P. H., Sep 2012, In: International Journal of Heat and Mass Transfer. 55, 19-20, p. 5309-5321 13 p.

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

• Computational modeling of 3D tumor growth and angiogenesis for chemotherapy evaluation

  Tang, L., Van De Ven, A. L., Guo, D., Andasari, V., Cristini, V., Li, K. C. & Zhou, X., Jan 3 2014, In: PloS one. 9, 1, e83962.

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

  Open Access

• Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization

  Sun, D., Yang, C., Li, J., Wang, R., Yao, S., Shao, H., Liu, D., Liu, S., Wang, T. & Abdelzaher, T. F., Dec 22 2021, In: Frontiers in Big Data. 4, 729881.

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

  Open Access

• Computational modeling of temperature, flow, and crystallization of mold slag during double hot thermocouple technique experiments

  Zhou, L., Wang, W., Liu, R. & Thomas, B. G., Oct 2013, In: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science. 44, 5, p. 1264-1279 16 p.

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

• Computational modeling of the monoaminergic neurotransmitter and male neuroendocrine systems in an analysis of therapeutic neuroadaptation to chronic antidepressant

  Camacho, M. B., Vijitbenjaronk, W. D. & Anastasio, T. J., Feb 2020, In: European Neuropsychopharmacology. 31, p. 86-99 14 p.

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

• Computational modeling of tuberculous meningitis reveals an important role for tumor necrosis factor-α

  El-Kebir, M., van der Kuip, M., van Furth, A. M. & Kirschner, D. E., Jul 7 2013, In: Journal of Theoretical Biology. 328, p. 43-53 11 p.

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

• Computational modelling of multi-material energetic materials and systems

  Hernández, A. M. & Stewart, D. S., May 3 2020, In: Combustion Theory and Modelling. 24, 3, p. 407-441 35 p.

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

• Computational modelling of NO_x emissions from biodiesel combustion

  Yuan, W., Hansen, A. C. & Zhang, Q., 2007, In: International Journal of Vehicle Design. 45, 1-2, p. 12-32 21 p.

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

• Computational model of antidepressant response heterogeneity as multi-pathway neuroadaptation

  Camacho, M. B. & Anastasio, T. J., Dec 20 2017, In: Frontiers in Pharmacology. 8, DEC, 925.

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

• Computational models of combustion of nonmetallized heterogeneous propellant

  Surzhikov, S. T. & Krier, H., Jan 1 2003, In: Teplofizika Vysokikh Temperatur. 41, 1, p. 106-143 38 p.

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

• Computational models of temporal processing in the auditory thalamus

  Llano, D. A. & Feng, A. S., 2000, In: Biological Cybernetics. 83, 5, p. 419-433 15 p.

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

• Computational pan-genomics: Status, promises and challenges

  The Computational Pan-Genomics Consortium, Jan 1 2018, In: Briefings in bioinformatics. 19, 1, p. 118-135 18 p., bbw089.

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

  Open Access

• Computational prediction models for early detection of risk of cardiovascular events using mass spectrometry data

  Pham, T. D., Wang, H., Zhou, X., Beck, D., Brandl, M., Hoehn, G., Azok, J., Brennan, M. L., Hazen, S. L., Li, K. & Wong, S. T. C., 2008, In: IEEE Transactions on Information Technology in Biomedicine. 12, 5, p. 636-643 8 p.

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

• Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data

  Ferguson, A. L., Falkowska, E., Walker, L. M., Seaman, M. S., Burton, D. R. & Chakraborty, A. K., Dec 2 2013, In: PloS one. 8, 12, e80562.

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

• COMPUTATIONAL PROCESS MODELING OF HOUSEHOLD TRAVEL DECISIONS USING A GEOGRAPHICAL INFORMATION SYSTEM

  Golledge, R. G., Kwan, MP. P. & Gärling, T., Apr 1994, In: Papers in Regional Science. 73, 2, p. 99-117 19 p.

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

• Computational-process modelling of household activity scheduling

  Gärling, T., Kwan, M. P. & Golledge, R. G., Oct 1994, In: Transportation Research Part B. 28, 5, p. 355-364 10 p.

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

• Computational protocols for viscoelastic prony series hereditary convolution integrals and for variable coefficient integral–differential equations

  Hilton, H. H. & Sossou, G., 2021, In: Mathematics in Engineering, Science and Aerospace. 12, 1, p. 259-291 33 p.

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

• Computational receding horizon approach to safe trajectory tracking

  Mejía, J. S. & Stipanović, D. M., 2008, In: Integrated Computer-Aided Engineering. 15, 2, p. 149-161 13 p.

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

• Computational recipe for efficient description of large-scale conformational changes in biomolecular systems

  Moradi, M. & Tajkhorshid, E., Jul 8 2014, In: Journal of Chemical Theory and Computation. 10, 7, p. 2866-2880 15 p.

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

• Computational search for hypotheses concerning the endocannabinoid contribution to the extinction of fear conditioning

  Anastasio, T. J., May 17 2013, In: Frontiers in Computational Neuroscience. MAY

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

• Computational social systems [reflections and reviews of past predictions]

  Santos, E. E., May 13 2012, In: Proceedings of the IEEE. 100, SPL CONTENT, p. 1271-1272 2 p., 6198382.

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

  Open Access

• Computational steering in simulation of manufacturing systems

  Kesavadas, T. & Sudhir, A., 2000, In: Proceedings - IEEE International Conference on Robotics and Automation. 3, p. 2654-2658 5 p.

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

• Computational studies of air-assisted spray impingement on a flat plate

  Chang, D. L. & Lee, C. F. F., 2003, In: International Journal of Engine Research. 4, 4, p. 331-345 15 p.

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

• Computational studies of ion-water flux coupling in the airway epithelium. I. Construction of model

  Novotny, J. A. & Jakobsson, E., Jun 1996, In: American Journal of Physiology - Cell Physiology. 270, 6 39-6, p. C1751-C1763

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

• Computational studies of ion-water flux coupling in the airway epithelium. II. Role of specific transport mechanisms

  Novotny, J. A. & Jakobsson, E., Jun 1996, In: American Journal of Physiology - Cell Physiology. 270, 6 39-6, p. C1764-C1772

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

• Computational studies of the mechanism for proton and hydride transfer in liver alcohol dehydrogenase

  Agarwal, P. K., Webb, S. P. & Hammes-Schiffer, S., May 17 2000, In: Journal of the American Chemical Society. 122, 19, p. 4803-4812 10 p.

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

• Computational studies of thermoelectric MHD driven liquid lithium flow in metal trenches

  Xu, W., Curreli, D. & Ruzic, D. N., Dec 1 2014, In: Fusion Engineering and Design. 89, 12, p. 2868-2874 7 p.

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

• Computational study of anomalous reduction potentials for hydrogen evolution catalyzed by cobalt dithiolene complexes

  Solis, B. H. & Hammes-Schiffer, S., Sep 19 2012, In: Journal of the American Chemical Society. 134, 37, p. 15253-15256 4 p.

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

• Computational Study of Fluorinated Diglyoxime-Iron Complexes: Tuning the Electrocatalytic Pathways for Hydrogen Evolution

  Harshan, A. K., Solis, B. H., Winkler, J. R., Gray, H. B. & Hammes-Schiffer, S., Mar 21 2016, In: Inorganic Chemistry. 55, 6, p. 2934-2940 7 p.

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

• Computational study of self-centering buckling-restrained braced frame seismic performance

  Eatherton, M. R., Fahnestock, L. A. & Miller, D. J., Oct 25 2014, In: Earthquake Engineering and Structural Dynamics. 43, 13, p. 1897-1914 18 p.

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

• Computational study of the surface-enhanced raman scattering from silica-coated silver nanowires

  Devetter, B. M., Bhargava, R. & Murphy, C. J., 2014, In: Photochemistry and Photobiology. 90, 2, p. 415-418 4 p.

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