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Jamil, T., Alam, I., Gojobori, T., & Duarte, C. M. (2020). No Evidence for Temperature-Dependence of the COVID-19 Epidemic. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00436
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Bahloul, M. A., Chahid, A., & Laleg-Kirati, T.-M. (2020). Fractional-Order SEIQRDP Model for Simulating the Dynamics of COVID-19 Epidemic. IEEE Open Journal of Engineering in Medicine and Biology, 1, 249–256. https://doi.org/10.1109/ojemb.2020.3019758
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Guan, Q., Sadykov, M., Mfarrej, S., Hala, S., Naeem, R., Nugmanova, R., … Pain, A. (2020). A genetic barcode of SARS-CoV-2 for monitoring global distribution of different clades during the COVID-19 pandemic. International Journal of Infectious Diseases, 100, 216–223. https://doi.org/10.1016/j.ijid.2020.08.052
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Mankowski, M., & Moshkov, M. (2020). Extensions of dynamic programming for multi-stage combinatorial optimization. Theoretical Computer Science, 844, 106–132. https://doi.org/10.1016/j.tcs.2020.08.009
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Schmidt-Roach, S., Duarte, C. M., Hauser, C. A. E., & Aranda, M. (2020). Beyond Reef Restoration: Next-Generation Techniques for Coral Gardening, Landscaping, and Outreach. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.00672
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Alam, I., Kamau, A. A., Kulmanov, M., Jaremko, Ł., Arold, S. T., Pain, A., … Duarte, C. M. (2020). Functional Pangenome Analysis Shows Key Features of E Protein Are Preserved in SARS and SARS-CoV-2. Frontiers in Cellular and Infection Microbiology, 10. https://doi.org/10.3389/fcimb.2020.00405
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Liu, A., Zhang, Y., Zhang, X., Liu, G., Zhang, Y., Li, Z., … Zhou, X. (2020). Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2020.3010022
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Alfares, A., Alsubaie, L., Aloraini, T., Alaskar, A., Althagafi, A., Alahmad, A., … Alfadhel, M. (2020). What is the right sequencing approach? Solo VS extended family analysis in consanguineous populations. BMC Medical Genomics, 13(1). https://doi.org/10.1186/s12920-020-00743-8
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Ghattassi, M., Laleg, T.-M., & Vivalda, J.-C. (2020). Analysis and output tracking design for the direct contact membrane distillation parabolic system. Journal of Mathematical Analysis and Applications, 491(2), 124367. https://doi.org/10.1016/j.jmaa.2020.124367
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X. Guo, P. Hong, and T. M. Laleg-Kirati, (2020) Nonlinear Model Predictive Control Design for BSM-MBR: Benchmark of Membrane Bioreactor, IFAC World Congress, Berlin,
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Ghaffour, Lilia & Noack, Matti & Reger, Johann & Laleg-Kirati, Taous-Meriem. (2020). Non-asymptotic State Estimation of Linear Reaction Diffusion Equation using Modulating Functions.
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BAS/1/1627-01-01Yamamoto, N., Ariumi, Y., Nishida, N., Yamamoto, R., Bauer, G., Gojobori, T., … Mizokami, M. (2020). SARS-CoV-2 infections and COVID-19 mortalities strongly correlate with ACE1 I/D genotype. Gene, 758, 144944. https://doi.org/10.1016/j.gene.2020.144944
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Ni, M., Tresset, G., Iliescu, C., & Hauser, C. A. E. (2020). Ultrashort Peptide Theranostic Nanoparticles by Microfluidic-Assisted Rapid Solvent Exchange. IEEE Transactions on NanoBioscience, 19(4), 627–632. https://doi.org/10.1109/tnb.2020.3007103
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Albalawi, F., Alshehri, S., Chahid, A., & Laleg-Kirati, T.-M. (2020). Voxel Weight Matrix-Based Feature Extraction for Biomedical Applications. IEEE Access, 8, 121451–121459. https://doi.org/10.1109/access.2020.3006521
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Yu, G., Wang, Y., Wang, J., Domeniconi, C., Guo, M., & Zhang, X. (2020). Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Information Fusion, 63, 153–165. https://doi.org/10.1016/j.inffus.2020.06.012
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Yu, G., Chen, X., Domeniconi, C., Wang, J., Li, Z., Zhang, Z., & Zhang, X. (2020). CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2020.3003899
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Queralt-Rosinach, N., Bello, S. M., Hoehndorf, R., Weiland, C., Rocca-Serra, P., & Schofield, P. N. (2020). Modeling quantitative traits for COVID-19 case reports. https://doi.org/10.1101/2020.06.18.20135103
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Vu, T.-D., Iwasaki, Y., Shigenobu, S., Maruko, A., Oshima, K., Iioka, E., … Okada, N. (2020). Behavioral and brain- transcriptomic synchronization between the two opponents of a fighting pair of the fish Betta splendens. PLOS Genetics, 16(6), e1008831. https://doi.org/10.1371/journal.pgen.1008831
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Zhou, L., Li, Z., Zhou, J., Li, H., Chen, Y., Huang, Y., … Gao, X. (2020). A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. IEEE Transactions on Medical Imaging, 39(8), 2638–2652. https://doi.org/10.1109/tmi.2020.3001810
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Abdelhakim, M., McMurray, E., Syed, A. R., Kafkas, S., Kamau, A. A., Schofield, P. N., & Hoehndorf, R. (2020). DDIEM: drug database for inborn errors of metabolism. Orphanet Journal of Rare Diseases, 15(1). https://doi.org/10.1186/s13023-020-01428-2
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S. Asiri, D. Liu and T. Laleg-Kirati, (2020) Selection of Modulating Functions' Design Parameters for Estimation Problems, IEEE Control Systems Letters, vol. 5, no. 1, pp. 277-282, doi: 10.1109/LCSYS.2020.3000849.
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Moraga, P., Ketcheson, D. I., Ombao, H. C., & Duarte, C. M. (2020). Assessing the age- and gender-dependence of the severity and case fatality rates of COVID-19 disease in Spain. Wellcome Open Research, 5, 117. https://doi.org/10.12688/wellcomeopenres.15996.1