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• 2021

  Precise Regulation of Cas9-Mediated Genome Engineering by Anti-CRISPR-Based Inducible CRISPR Controllers

  Jain, S., Xun, G., Abesteh, S., Ho, S., Lingamaneni, M., Martin, T. A., Tasan, I., Yang, C. & Zhao, H., Jun 18 2021, In: ACS synthetic biology. 10, 6, p. 1320-1327 8 p.

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

• Preclinical characterization of immunogenicity and efficacy against diarrhea from mecvax, a multivalent enterotoxigenic e. coli vaccine candidate

  Seo, H., Garcia, C., Ruan, X., Duan, Q., Sack, D. A. & Zhang, W., Jul 2021, In: Infection and immunity. 89, 7, e00106-21.

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

• Pre-College Students Learn Cross-Cutting STEM Concepts by Building an Optical Imaging Projector

  Udupa, A. & Goddard, L. L., 2021, Education and Training in Optics and Photonics Conference, ETOP 2021. The Optical Society, W4B.7. (Optics InfoBase Conference Papers).

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

• Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization

  Zhang, G., Fattahi, S. & Zhang, R. Y., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 5985-5996 12 p. (Advances in Neural Information Processing Systems; vol. 8).

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

• Predictability of Geomagnetically Induced Currents as a Function of Available Magnetic Field Information

  Grawe, M. A. & Makela, J. J., Aug 2021, In: Space Weather. 19, 8, e2021SW002747.

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

  Open Access

• Predicted Properties of Active Catalyst Sites on Amorphous Silica: Impact of Silica Preoptimization Protocol

  Vandervelden, C., Jystad, A., Peters, B. & Caricato, M., 2021, (Accepted/In press) In: Industrial and Engineering Chemistry Research. 60, 35, p. 12834-12846 13 p.

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

• Predicting Adolescent Substance Use in a Child Welfare Sample: A Multi-Indicator Algorithm

  Menon, S. V., Thakur, H., Shorey, R. C. & Cohen, J. R., Jun 2021, In: Assessment. 28, 4, p. 1207-1218 12 p.

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

• Predicting how surface texture and shape combine in the human visual system to direct attention

  Xu, Z. J., Lleras, A. & Buetti, S., Dec 2021, In: Scientific reports. 11, 1, 6170.

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

  Open Access

• Predicting Multiple Sclerosis from Gait Dynamics Using an Instrumented Treadmill – A Machine Learning Approach: A Machine Learning Approach

  Kaur, R., Chen, Z., Motl, R., Hernandez, M. E. & Sowers, R., Sep 2021, In: IEEE Transactions on Biomedical Engineering. 68, 9, p. 2666-2677 12 p., 9311191.

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

  Open Access

• Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks

  Zheng, W. L., Amorim, E., Jing, J., Ge, W., Hong, S., Wu, O., Ghassemi, M., Lee, J. W., Sivaraju, A., Pang, T., Herman, S. T., Gaspard, N., Ruijter, B. J., Sun, J., Tjepkema-Cloostermans, M. C., Hofmeijer, J., van Putten, M. J. A. M. & Westover, M. B., Dec 2021, In: Resuscitation. 169, p. 86-94 9 p.

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

• Predicting pavement roughness using deep learning algorithms

  Zhou, Q., Okte, E. & Al-Qadi, I. L., 2021, Transportation Research Record. 11 ed. SAGE Publishing, p. 1062-1072 11 p. (Transportation Research Record; vol. 2675, no. 11).

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

• Predicting preferred prey of Sumatran tigers Panthera tigris sumatrae via spatio-temporal overlap

  Allen, M. L., Sibarani, M. C. & Krofel, M., Mar 2021, In: ORYX. 55, 2, p. 197-203 7 p.

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

  Open Access

• Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep Learning

  Pyrros, A., Flanders, A. E., Rodríguez-Fernández, J. M., Chen, A., Cole, P., Wenzke, D., Hart, E., Harford, S., Horowitz, J., Nikolaidis, P., Muzaffar, N., Boddipalli, V., Nebhrajani, J., Siddiqui, N., Willis, M., Darabi, H., Koyejo, O. & Galanter, W., Aug 2021, In: Academic Radiology. 28, 8, p. 1151-1158 8 p.

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

• Predicting rain garden performance under back-to-back rainfall conditions using stochastic life-cycle analysis

  William, R., Gardoni, P. & Stillwell, A. S., 2021, In: Sustainable and Resilient Infrastructure. 6, 3-4, p. 143-155 13 p.

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

• Predicting TCR-Epitope Binding Specificity Using Deep Metric Learning and Multimodal Learning

  Luu, A. M., Leistico, J. R., Miller, T., Kim, S. & Song, J. S., Apr 2021, In: Genes. 12, 4, p. NA 572.

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

  Open Access

• Predicting the characteristics of defect transitions on curved surfaces

  Agarwal, S. & Hilgenfeldt, S., Apr 21 2021, In: Soft Matter. 17, 15, p. 4059-4068 10 p.

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

• Predicting the distributions of regional endemic dragonflies using a combined model approach

  Boys, W. A., Siepielski, A. M., Smith, B. D., Patten, M. A. & Bried, J. T., Jan 2021, In: Insect Conservation and Diversity. 14, 1, p. 52-66 15 p.

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

• Predicting the individualized risk of poor adherence to ART medication among adolescents living with HIV in Uganda: the Suubi+Adherence study

  Brathwaite, R., Ssewamala, F. M., Neilands, T. B., Okumu, M., Mutumba, M., Damulira, C., Nabunya, P., Kizito, S., Sensoy Bahar, O., Mellins, C. A. & McKay, M. M., Jun 2021, In: Journal of the International AIDS Society. 24, 6, e25756.

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

  Open Access

• Predicting the long-term social and ecological impacts of tree-planting programs: Evidence from northern India

  Rana, P. & Miller, D. C., Apr 2021, In: World Development. 140, 105367.

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

  Open Access

• Predicting the Potency of Anti-Alzheimer’s Drug Combinations Using Machine Learning

  Anastasio, T. J., Feb 2021, In: Processes. 9, 2, p. 1-17 17 p., 264.

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

  Open Access

• Predicting transformations during reactive flash sintering in CuO and Mn₂O₃

  Murray, S. E., Lin, Y. Y., Sulekar, S. S., Gebre, M. S., Perry, N. H. & Shoemaker, D. P., Jan 2021, In: Journal of the American Ceramic Society. 104, 1, p. 76-85 10 p.

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

• Prediction of flexible pavement 3-D finite element responses using Bayesian neural networks

  Okte, E. & Al-Qadi, I. L., 2021, (Accepted/In press) In: International Journal of Pavement Engineering.

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

• Prediction of left circumflex artery impingement after indirect mitral annuloplasty with the carillon device: “There is more to this than meets the eye!”

  Moussa, I. D., Dec 1 2021, In: Catheterization and Cardiovascular Interventions. 98, 7, p. 1402-1403 2 p.

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

• Prediction of nitrate and phosphorus concentrations using machine learning algorithms in watersheds with different landuse

  Bhattarai, A., Dhakal, S., Gautam, Y. & Bhattarai, R., Nov 3 2021, In: Water. 13, 21, 3096.

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

  Open Access

• Prediction of Non- Synoptic Wind Speeds

  Lombardo, F. T. & Zickar, A. S., Jan 1 2021, The Oxford Handbook of Heracles. Oxford University Press, p. 499-529 31 p.

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

• Prediction of shock standoff distance with modified rotational relaxation time of air mixture

  Jo, S. M., Panesi, M. & Kim, J. G., Apr 1 2021, In: Physics of fluids. 33, 4, 047102.

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

• Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings

  Athreya, A. P., Brückl, T., Binder, E. B., John Rush, A., Biernacka, J., Frye, M. A., Neavin, D., Skime, M., Monrad, D., Iyer, R. K., Mayes, T., Trivedi, M., Carter, R. E., Wang, L., Weinshilboum, R. M., Croarkin, P. E. & Bobo, W. V., Jun 2021, In: Neuropsychopharmacology. 46, 7, p. 1272-1282 11 p.

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

  Open Access

• Prediction of soft proton intensities in the near-earth space using machine learning

  Kronberg, E. A., Hannan, T., Huthmacher, J., Münzer, M., Peste, F., Zhou, Z., Berrendorf, M., Faerman, E., Gastaldello, F., Ghizzardi, S., Escoubet, P., Haaland, S., Smirnov, A., Sivadas, N., Allen, R. C., Tiengo, A. & Ilie, R., Nov 1 2021, In: Astrophysical Journal. 921, 1, 76.

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

  Open Access

• Predictive model for fatigue life in parallel-wire stay cables considering corrosion variability

  Xu, H., Bai, N., Lan, C., Li, H. & Spencer, B. F., 2021, (Accepted/In press) In: Structure and Infrastructure Engineering.

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

• Predictive Modeling of pH in an Aquaponics System Using Bayesian and Non-Bayesian Linear Regression to Inform System Maintenance

  Mori, J., Erickson, K. & Smith, R. L., Aug 16 2021, In: ACS Agricultural Science and Technology. 1, 4, p. 400-406 7 p.

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

• Predictive sequential pattern mining via interpretable convolutional neural networks

  Bosch, N., 2021, Proceedings of the 14th International Conference on Educational Data Mining. International Educational Data Mining Society

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

• Predictors of Injury to Youth Associated with Physical Restraint in Residential Mental Health Treatment Centers

  Bystrynski, J., Braun, M. T., Corr, C., Miller, D. & O’Grady, C., Jun 2021, In: Child and Youth Care Forum. 50, 3, p. 511-526 16 p.

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

• Predictors of Water Lead Levels in Drinking Water of Homes With Domestic Wells in 3 Illinois Counties

  Geiger, S. D., Bressler, J., Kelly, W., Jacobs, D. E., Awadalla, S. S., Hagston, B., Onwuta, U., Panier, C. & Dorevitch, S., Nov 1 2021, In: Journal of public health management and practice : JPHMP. 27, 6, p. 567-576 10 p.

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

• Preface

  Bayat, A. & Herrera, L., Feb 23 2021, Global Middle East: Into the Twenty-First Century. University of California Press, p. xi-xii

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

• Preface

  Borisov, N. & Diaz, C., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12674 LNCS, p. v-vi

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

• Preface

  Xie, T., Qin, S. & Zhang, W., Dec 2021, In: Journal of Computer Science and Technology. 36, 6, p. 1229-1230 2 p.

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

  Open Access

• Preface

  Lavalle, S., Lin, M., Ojala, T., Shell, D. A. & Yu, J., 2021, In: Springer Proceedings in Advanced Robotics. 17, p. vii-ix

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

• Preface

  Bauckhage, C., Gall, J. & Schwing, A., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13024 LNCS, p. v-vi

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

• Preface: special issue on resilient energy systems

  Wang, P. & Liao, H., 2021, In: Sustainable and Resilient Infrastructure. 6, 1-2, p. 1-3 3 p.

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

• Preface: Special issue on emerging frontiers in automated inspection, sensing and control for civil infrastructure

  Fujino, Y., Gattulli, V., Li, H. & Spencer, B. F., Feb 2021, In: Smart Structures and Systems. 27, 2, p. I-IV

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

• Preface

  Mohtar, C. E., Kulesza, S., Baser, T. & Venezia, M. D., 2021, In: Geotechnical Special Publication. 2021-May, GSP 323, p. iii

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

  Open Access

• Preface

  Borisov, N. & Diaz, C., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12675 LNCS, p. v-vi

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

• Preface

  Alladi, K., Berndt, B. C., Paule, P., Sellers, J. A. & Yee, A. J., 2021, In: Trends in Mathematics. p. v-vi

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

• Preface

  Bojańczyk, M. & Chekuri, C., Dec 1 2021, In: Leibniz International Proceedings in Informatics, LIPIcs. 213

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

• Preface

  Konigsberg, L. W., Aug 2021, In: American journal of physical anthropology. 175, S72, p. 3 1 p.

  Research output: Contribution to journal › Comment/debate › peer-review

• Preface

  Burton, A. M. & Fortado, S. L., 2021, Histories of a Radical Book: E. P. Thompson and The Making of the English Working Class. Burton, A. & Fortado, S. (eds.). Berghahn Books, p. vii-xii

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

• Preface

  Shin, C. S., Di Bucchianico, G., Fukuda, S., Ghim, Y. G., Montagna, G. & Carvalho, C., 2021, In: Lecture Notes in Networks and Systems. 260, p. vii-xi

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

• Preface

  Lane, H. C., Zvacek, S. & Uhomoibhi, J., 2021, In: Communications in Computer and Information Science. 1473 CCIS, p. v

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

• Preface: DISCO2021 - Digital infrastructures for scholarly content objects at JCDL2021

  Balke, W. T., de Waard, A., Fu, Y., Hua, B., Schneider, J., Song, N., Wang, X., Aizawa, A., Allen, B., Auer, S., Bölling, C., Boudin, F., Burns, G., Chan, J., Clark, T., D'Souza, J., Fox, E., Green, N., Kroll, H., Oelen, A., & 3 othersRando, H., Stoeger, T. & Stocker, M., 2021, In: CEUR Workshop Proceedings. 2976

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

• Preface

  Mohtar, C. E., Kulesza, S., Baser, T. & Venezia, M. D., 2021, In: Geotechnical Special Publication. 2021-May, GSP 326, p. iii

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

  Open Access