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Shameer, S., Wang, Y., Bota, P., Ratcliffe, R. G., Long, S. P., & Sweetlove, L. J. (2022). A hybrid kinetic and constraint-based model of leaf metabolism allows predictions of metabolic fluxes in different environments. Plant Journal, 109(1), 295-313. https://doi.org/10.1111/tpj.15551

Montes, C. M., Demler, H. J., Li, S., Martin, D. G., & Ainsworth, E. A. (2022). Approaches to investigate crop responses to ozone pollution: from O3-FACE to satellite-enabled modeling. Plant Journal, 109(2), 432-446. https://doi.org/10.1111/tpj.15501

Smith, P., Beaumont, L., Bernacchi, C. J., Byrne, M., Cheung, W., Conant, R. T., Cotrufo, F., Feng, X., Janssens, I., Jones, H., Kirschbaum, M. U. F., Kobayashi, K., LaRoche, J., Luo, Y., McKechnie, A., Penuelas, J., Piao, S., Robinson, S., Sage, R. F., ... Long, S. P. (2022). Essential outcomes for COP26. Global change biology, 28(1), 1-3. https://doi.org/10.1111/gcb.15926

Chen, Q., Hu, T., Li, X., Song, C. P., Zhu, J. K., Chen, L., & Zhao, Y. (2022). Phosphorylation of SWEET sucrose transporters regulates plant root:shoot ratio under drought. Nature plants, 8(1), 68-77. https://doi.org/10.1038/s41477-021-01040-7

Kumagai, E., Burroughs, C. H., Pederson, T. L., Montes, C. M., Peng, B., Kimm, H., Guan, K., Ainsworth, E. A., & Bernacchi, C. J. (2022). Predicting biochemical acclimation of leaf photosynthesis in soybean under in-field canopy warming using hyperspectral reflectance. Plant Cell and Environment, 45(1), 80-94. https://doi.org/10.1111/pce.14204

Tomaszewski, T., Gurtler, V., Caetano-Anollés, K., & Caetano-Anollés, G. (2022). The emergence of SARS-CoV-2 variants of concern in Australia by haplotype coalescence reveals a continental link to COVID-19 seasonality. In C. S. Pavia, C. S. Pavia, & V. Gurtler (Eds.), Covid-19: Biomedical Perspectives (pp. 233-268). (Methods in Microbiology; Vol. 50). Academic Press Inc.. https://doi.org/10.1016/bs.mim.2022.03.003

Lee, M. S., Boyd, R. A., & Ort, D. R. (2022). The photosynthetic response of C3 and C4 bioenergy grass species to fluctuating light. GCB Bioenergy, 14(1), 37-53. https://doi.org/10.1111/gcbb.12899

Wu, J., Tong, H., Ainsworth, E., & He, J. R. (2022). Adaptive Knowledge Transfer on Evolving Domains. In S. Tsumoto, Y. Ohsawa, L. Chen, D. Van den Poel, X. Hu, Y. Motomura, T. Takagi, L. Wu, Y. Xie, A. Abe, & V. Raghavan (Eds.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 (pp. 1389-1394). (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData55660.2022.10020944

Berenbaum, M. R. (2022). A Hard Pill to Swallow. American Entomologist, 68(4), 14-17. https://doi.org/10.1093/ae/tmac063

Taylor, S. H., Gonzalez-Escobar, E., Page, R., Parry, M. A. J., Long, S. P., & Carmo-Silva, E. (Accepted/In press). Author Correction: Faster than expected Rubisco deactivation in shade reduces cowpea photosynthetic potential in variable light conditions (Nature Plants, (2022), 8, 2, (118-124), 10.1038/s41477-021-01068-9). Nature plants. https://doi.org/10.1038/s41477-022-01243-6

Lochocki, E. B., Rohde, S., Jaiswal, D., Matthews, M. L., Miguez, F., Long, S. P., & McGrath, J. M. (2022). BioCro II: A software package for modular crop growth simulations. In Silico Plants, 4(1), [diac003]. https://doi.org/10.1093/insilicoplants/diac003

York, L. M., Cumming, J. R., Trusiak, A., Bonito, G., von Haden, A. C., Kalluri, U. C., Tiemann, L. K., Andeer, P. F., Blanc-Betes, E., Diab, J. H., Favela, A., Germon, A., Gomez-Casanovas, N., Hyde, C. A., Kent, A. D., Ko, D. K., Lamb, A., Missaoui, A. M., Northen, T. R., ... Yang, W. H. (2022). Bioenergy Underground: Challenges and opportunities for phenotyping roots and the microbiome for sustainable bioenergy crop production. Plant Phenome Journal, 5(1), [e20028]. https://doi.org/10.1002/ppj2.20028

Berenbaum, M. R. (2022). Bowl Games. American Entomologist, 68(1), 12-15. https://doi.org/10.1093/ae/tmac006

Kim, S. H., Van Stralen, N., Chowdhary, G., & Tran, H. T. (2022). Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning. In International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 (pp. 751-760). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 2). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Sun, J., Gu, M., Yeh, C. C. M., Fan, Y., Chowdhary, G., & Zhang, W. (2022). Dynamic Graph Node Classification via Time Augmentation. In S. Tsumoto, Y. Ohsawa, L. Chen, D. Van den Poel, X. Hu, Y. Motomura, T. Takagi, L. Wu, Y. Xie, A. Abe, & V. Raghavan (Eds.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 (pp. 800-805). (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData55660.2022.10020941

Long, S. P., Taylor, S. H., Burgess, S. J., Carmo-Silva, E., Lawson, T., De Souza, A. P., Leonelli, L., & Wang, Y. (2022). Into the Shadows and Back into Sunlight: Photosynthesis in Fluctuating Light. Annual Review of Plant Biology, 73, 617-648. https://doi.org/10.1146/annurev-arplant-070221-024745

Sun, R., Greene, M. L., Le, D. M., Bell, Z. I., Chowdhary, G., & Dixon, W. E. (2022). Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks. IEEE Control Systems Letters, 6, 193-198. [9337905]. https://doi.org/10.1109/LCSYS.2021.3055454

Mercado, M. A., & Studer, A. J. (2022). Meeting in the Middle: Lessons and Opportunities from Studying C3-C4Intermediates. Annual Review of Plant Biology, 73, 43-65. https://doi.org/10.1146/annurev-arplant-102720-114201

Choi, J. W., Chowdhary, G., Singer, A. C., Vishnu, H., Weiss, A., Wornell, G. W., & Deane, G. (2022). Online Segmented Recursive Least-Squares for Multipath Doppler Tracking. In 2022 6th Underwater Communications and Networking Conference, UComms 2022 (2022 6th Underwater Communications and Networking Conference, UComms 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UComms56954.2022.9905690

Hetti-Arachchilage, M., Challa, G. S., & Marshall-Colón, A. (2022). Rewiring Network Plasticity to Improve Crops. In Plant Breeding Reviews (pp. 143-183). (Plant Breeding Reviews; Vol. 45). John Wiley & Sons, Ltd.. https://doi.org/10.1002/9781119828235.ch3

Berenbaum, M. R. (2022). Sew-Sew Jokes. American Entomologist, 68(2), 12-15. https://doi.org/10.1093/ae/tmac025

Montag, W., Liao, L. H., & Berenbaum, M. R. (Accepted/In press). Sexually dimorphic responses to monofloral honeys in the small hive beetle, Aethina tumida Murray (Coleoptera: Nitidulidae). Journal of Apicultural Research. https://doi.org/10.1080/00218839.2022.2147712

Matthews, M. L., Marshall-Colón, A., McGrath, J. M., Lochocki, E. B., & Long, S. P. (2022). Soybean-BioCro: A semi-mechanistic model of soybean growth. In Silico Plants, 4(1), [diab032]. https://doi.org/10.1093/insilicoplants/diab032

Moore, C. E., Gibson, C. D., Miao, G., Dracup, E. C., Gomez-Casanovas, N., Masters, M. D., Miller, J., C Von Haden, A., Meyers, T., Delucia, E. H., & Bernacchi, C. J. (2022). Substantial carbon loss respired from a corn-soybean agroecosystem highlights the importance of careful management as we adapt to changing climate. Environmental Research Letters, 17(5), [054029]. https://doi.org/10.1088/1748-9326/ac661a

Berenbaum, M. R. (2022). Terms of Art and Terms of Arthropods. American Entomologist, 68(3), 12-15. https://doi.org/10.1093/ae/tmac051

Cheng, M. H., Maitra, S., Clennon, A. N. C., Appell, M., Dien, B. S., & Singh, V. (Accepted/In press). The effects of sequential hydrothermal-mechanical refining pretreatment on cellulose structure changes and sugar recoveries. Biomass Conversion and Biorefinery. https://doi.org/10.1007/s13399-022-03359-3

Caetano-Anollés, K., Hernandez, N., Mughal, F., Tomaszewski, T., & Caetano-Anollés, G. (2022). The seasonal behaviour of COVID-19 and its galectin-like culprit of the viral spike. In C. S. Pavia, & V. Gurtler (Eds.), Covid-19: Biomedical Perspectives: Biomedical Perspectives (pp. 27-81). (Methods in Microbiology; Vol. 50). Academic Press Inc.. https://doi.org/10.1016/bs.mim.2021.10.002

Seyfried, G. S., Corrales, A., Kent, A. D., Dalling, J. W., & Yang, W. (Accepted/In press). Watershed-scale Variation in Potential Fungal Community Contributions to Ectomycorrhizal Biogeochemical Syndromes. Ecosystems. https://doi.org/10.1007/s10021-022-00788-z

Xue, X., Wang, J., Shukla, D., Cheung, L. S., & Chen, L. Q. (2022). When SWEETs Turn Tweens: Updates and Perspectives. Annual Review of Plant Biology, 73, 379-403. https://doi.org/10.1146/annurev-arplant-070621-093907