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Center for Artificial Intelligence and Modeling: Publications

Song, C. L., Main, E. J., Simmons, F., Liu, S., Phillabaum, B., Dahmen, K. A., Hudson, E. W., Hoffman, J. E., & Carlson, E. W. (2023). Critical nematic correlations throughout the superconducting doping range in Bi2−zPb zSr2−yLa yCuO6+x. Nature communications, 14(1), [2622].

Jops, K., & O’Dwyer, J. P. (2023). Life history complementarity and the maintenance of biodiversity. Nature.

Cannavale, C. N., Edwards, C. G., Liu, R., Keye, S. A., Iwinski, S. J., Holscher, H. D., Renzi-Hammond, L., & Khan, N. A. (2023). Macular pigment is inversely related to circulating C-reactive protein concentrations in school-aged children. Nutrition Research, 114, 13-19.

Bailey, M. A., Thompson, S. V., Mysonhimer, A. R., Bennett, J. N., Vanhie, J. J., De Lisio, M., Burd, N. A., Khan, N. A., & Holscher, H. D. (2023). Dietary fiber intake and fecal short chain fatty acid concentrations are associated with lower plasma lipopolysaccharide-binding protein and inflammation. American Journal of Physiology - Gastrointestinal and Liver Physiology, 324(5), G369-G377.

Pan, C., Chien, E., & Milenkovic, O. (2023). Unlearning Graph Classifiers with Limited Data Resources. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (pp. 716-726). (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023). Association for Computing Machinery.

Hughes, R. L., Pindus, D. M., Khan, N. A., Burd, N. A., & Holscher, H. D. (2023). Associations between Accelerometer-Measured Physical Activity and Fecal Microbiota in Adults with Overweight and Obesity. Medicine and Science in Sports and Exercise, 55(4), 680-689.

O’Shaughnessy, M. R., Schiff, D. S., Varshney, L. R., Rozell, C. J., & Davenport, M. A. (2023). What governs attitudes toward artificial intelligence adoption and governance? Science and Public Policy, 50(2), 161-176. [scac056].

Kong, W., Qian, Y., Stewart, P. S., & Lu, T. (2023). De novo engineering of a bacterial lifestyle program. Nature chemical biology, 19(4), 488-497.

Pan, C., Chien, E., Tabaghi, P., Peng, J., & Milenkovic, O. (2023). Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowledge and Information Systems, 65(4), 1817-1850.

Rashid, F., Dubinkina, V., Ahmad, S., Maslov, S., & Irudayaraj, J. M. K. (2023). Gut Microbiome-Host Metabolome Homeostasis upon Exposure to PFOS and GenX in Male Mice. Toxics, 11(3), [281].

Fei, F., Mia, M. S., Elbanna, A. E., & Choo, J. (2023). A phase-field model for quasi-dynamic nucleation, growth, and propagation of rate-and-state faults. International Journal for Numerical and Analytical Methods in Geomechanics, 47(2), 187-211.

Phuc Nguyen, T. V., Yao, T., & Golding, I. (2023). Co-infecting phages impede each other's entry into the cell. Biophysical journal, 122(3S1), 273a.

Splichal, I., Donovan, S. M., Kindlova, Z., Stranak, Z., Neuzil Bunesova, V., Sinkora, M., Polakova, K., Valaskova, B., & Splichalova, A. (2023). Release of HMGB1 and Toll-like Receptors 2, 4, and 9 Signaling Are Modulated by Bifidobacterium animalis subsp. lactis BB-12 and Salmonella Typhimurium in a Gnotobiotic Piglet Model of Preterm Infants. International journal of molecular sciences, 24(3), [2329].

Rana, P., & Varshney, L. R. (2023). Exploring limits to tree planting as a natural climate solution. Journal of Cleaner Production, 384, [135566].

Shinn, L. M., Mansharamani, A., Baer, D. J., Novotny, J. A., Charron, C. S., Khan, N. A., Zhu, R., & Holscher, H. D. (2023). Fecal Metabolites as Biomarkers for Predicting Food Intake by Healthy Adults. The Journal of nutrition, 152(12), 2956-2965. [nxac195].

Holthaus, T. A., Kashi, M., Cannavale, C. N., Edwards, C. G., Aguiñaga, S., Walk, A. D. M., Burd, N. A., Holscher, H. D., & Khan, N. A. (2023). MIND Dietary Pattern Adherence Is Selectively Associated with Cognitive Processing Speed in Middle-Aged Adults. The Journal of nutrition, 152(12), 2941-2949. [nxac203].

Kim, Y., Shin, J., Cassuto, Y., & Varshney, L. R. (2023). Distributed Boosting Classification Over Noisy Communication Channels. IEEE Journal on Selected Areas in Communications, 41(1), 141-154.

Gabrys, R., Pattabiraman, S., & Milenkovic, O. (2023). Reconstruction of Sets of Strings From Prefix/Suffix Compositions. IEEE Transactions on Communications, 71(1), 3-12.

Rana, V., Chien, E., Peng, J., & Milenkovic, O. (2023). Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1), 668-682.

Jeong, Y., Kong, W., Lu, T., & Irudayaraj, J. (2023). Soft hydrogel-shell confinement systems as bacteria-based bioactuators and biosensors. Biosensors and Bioelectronics, 219, [114809].

Nambiar, A., Liu, S., Heflin, M., Forsyth, J. M., Maslov, S., Hopkins, M., & Ritz, A. (2023). Transformer Neural Networks for Protein Family and Interaction Prediction Tasks. Journal of Computational Biology, 30(1), 95-111.

McMath, A. L., Iwinski, S., Shen, S., Bost, K. F., Donovan, S. M., & Khan, N. A. (2023). Adherence to screen time and physical activity guidelines is associated with executive function in US toddlers participating in the STRONG Kids 2 birth cohort study. The Journal of Pediatrics, 252, 22-30.e6.

Pattabiraman, S., Gabrys, R., & Milenkovic, O. (Accepted/In press). Coding for Polymer-Based Data Storage. IEEE Transactions on Information Theory, 1.

Cannavale, C. N., Mysonhimer, A. R., Bailey, M. A., Cohen, N. J., Holscher, H. D., & Khan, N. A. (2023). Consumption of a fermented dairy beverage improves hippocampal-dependent relational memory in a randomized, controlled cross-over trial. Nutritional Neuroscience, 26(3), 265-274.

Huang, C., Clark, G. G., Zaki, F. R., Won, J., Ning, R., Boppart, S. A., Elbanna, A. E., & Nguyen, T. H. (2023). Effects of phosphate and silicate on stiffness and viscoelasticity of mature biofilms developed with simulated drinking water. Biofouling, 39(1), 36-46.

Vinderola, G., Cotter, P. D., Freitas, M., Gueimonde, M., Holscher, H. D., Ruas-Madiedo, P., Salminen, S., Swanson, K. S., Sanders, M. E., & Cifelli, C. J. (2023). Fermented foods: a perspective on their role in delivering biotics. Frontiers in Microbiology, 14, [1196239].

George, I., Chen, X., & Varshney, L. R. (2023). Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. In 2023 57th Annual Conference on Information Sciences and Systems, CISS 2023 (2023 57th Annual Conference on Information Sciences and Systems, CISS 2023). Institute of Electrical and Electronics Engineers Inc..

Wang, W., Lee, H., Jankelow, A. M., Hoang, T. H., Bacon, A., Sun, F., Chae, S., Kindratenko, V., Koprowski, K., Stavins, R. A., Ceriani, D., Engelder, Z., King, W. P., Do, M. N., Bashir, R., Valera, E., & Cunningham, B. T. (2023). Smartphone Clip-On Instrument and Microfluidic Processor for Rapid Sample-to-Answer Detection of Zika Virus in Whole Blood Using Spatial RT-LAMP. In G. L. Cote (Ed.), Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics [123870D] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12387). SPIE.

Tzen, B., Raj, A., Raginsky, M., & Bach, F. (2023). Variational Principles for Mirror Descent and Mirror Langevin Dynamics. IEEE Control Systems Letters, 7, 1542-1547.

Fridman, Y., Wang, Z., Maslov, S., & Goyal, A. (2022). Fine-scale diversity of microbial communities due to satellite niches in boom and bust environments. PLoS computational biology, 18(12), [e1010244].

Milenkovic, O., Hernandez, A. G., Zhao, H., & Tabatabaei, S. (2022). Nick-based Data Storage In Native Nucleic Acids. (U.S. Patent No. 11538554).

Mysonhimer, A. R., & Holscher, H. D. (2022). Gastrointestinal Effects and Tolerance of Nondigestible Carbohydrate Consumption. Advances in Nutrition, 13(6), 2237-2276. [nmac094].

Holscher, H. D., Chumpitazi, B. P., Dahl, W. J., Fahey, G. C., Liska, D. J., Slavin, J. L., & Verbeke, K. (2022). Perspective: Assessing Tolerance to Nondigestible Carbohydrate Consumption. Advances in Nutrition, 13(6), 2084-2097. [nmac091].

Shomorony, I. (2022). Data-driven precision medicine through the analysis of biological functional modules. Cell Reports Medicine, 3(12), [100876].

Xu, A., & Raginsky, M. (2022). Minimum Excess Risk in Bayesian Learning. IEEE Transactions on Information Theory, 68(12), 7935-7955.

Chen, Y., Huerta, E. A., Duarte, J., Harris, P., Katz, D. S., Neubauer, M. S., Diaz, D., Mokhtar, F., Kansal, R., Park, S. E., Kindratenko, V. V., Zhao, Z., & Rusack, R. (2022). A FAIR and AI-ready Higgs boson decay dataset. Scientific Data, 9(1), [31].

Bailey, R. L., Stang, J. S., Davis, T. A., Naimi, T. S., Schneeman, B. O., Dewey, K. G., Donovan, S. M., Novotny, R., Kleinman, R. E., Taveras, E. M., Bazzano, L., Snetselaar, L. G., de Jesus, J., Casavale, K. O., Stoody, E. E., Goldman, J. D., Moshfegh, A. J., Rhodes, D. G., Herrick, K. A., ... Pannucci, T. R. (2022). Dietary and Complementary Feeding Practices of US Infants, 6 to 12 Months: A Narrative Review of the Federal Nutrition Monitoring Data. Journal of the Academy of Nutrition and Dietetics, 122(12), 2337-2345.e1.

Long, A. A., Wright, W. J., Gu, X., Thackray, A., Nakib, M., Uhl, J. T., & Dahmen, K. A. (2022). Experimental evidence that shear bands in metallic glasses nucleate like cracks. Scientific reports, 12(1), [18499].

Brown, M. D., Shinn, L. M., Reeser, G., Browning, M., Schwingel, A., Khan, N. A., & Holscher, H. D. (2022). Fecal and soil microbiota composition of gardening and non-gardening families. Scientific reports, 12(1), [1595].

Ranoa, D. R. E., Holland, R. L., Alnaji, F. G., Green, K. J., Wang, L., Fredrickson, R. L., Wang, T., Wong, G. N., Uelmen, J., Maslov, S., Weiner, Z. J., Tkachenko, A. V., Zhang, H., Liu, Z., Ibrahim, A., Patel, S. J., Paul, J. M., Vance, N. P., Gulick, J. G., ... Burke, M. D. (2022). Mitigation of SARS-CoV-2 transmission at a large public university. Nature communications, 13(1), [3207].

Abdelmeguid, M., & Elbanna, A. (2022). Modeling Sequences of Earthquakes and Aseismic Slip (SEAS) in Elasto-Plastic Fault Zones With a Hybrid Finite Element Spectral Boundary Integral Scheme. Journal of Geophysical Research: Solid Earth, 127(12), [e2022JB024548].

Sashittal, P., Zaccaria, S., & El-Kebir, M. (2022). Parsimonious Clone Tree Integration in cancer. Algorithms for Molecular Biology, 17(1), [3].

Pan, C., Tabatabaei, S. K., Tabatabaei Yazdi, S. M. H., Hernandez, A. G., Schroeder, C. M., & Milenkovic, O. (2022). Rewritable two-dimensional DNA-based data storage with machine learning reconstruction. Nature communications, 13(1), [2984].

Khandelwal, A., Athreya, N., Tu, M. Q., Janavicius, L. L., Yang, Z., Milenkovic, O., Leburton, J. P., Schroeder, C. M., & Li, X. (2022). Self-assembled microtubular electrodes for on-chip low-voltage electrophoretic manipulation of charged particles and macromolecules. Microsystems and Nanoengineering, 8(1), [27].

Nagarajan, K., Ni, C., & Lu, T. (2022). Agent-Based Modeling of Microbial Communities. ACS synthetic biology, 11(11), 3564-3574.

Ni, C., & Lu, T. (2022). Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations. ACS synthetic biology, 11(11), 3714-3723.

Xiong, J., Yang, A., Raginsky, M., & Rosenbaum, E. (2022). Neural Ordinary Differential Equation Models of Circuits: Capabilities and Pitfalls. IEEE Transactions on Microwave Theory and Techniques, 70(11), 4869-4884.

Sommer, K. M., Jespersen, J. C., Sutkus, L. T., Lee, Y., Donovan, S. M., & Dilger, R. N. (2022). Oral gamma-cyclodextrin-encapsulated tributyrin supplementation in young pigs with experimentally induced colitis. Journal of animal science, 100(11), [skac314].

Smith, R., Varshney, L. R., Nagayama, S., Kazama, M., Kitagawa, T., Managi, S., & Ishikawa, Y. (2022). A computational neuroscience perspective on subjective wellbeing within the active inference framework. International Journal of Wellbeing, 12(4), 102-131.

Berger, B., Tian, D., Li, W. V., El-Kebir, M., Tomescu, A. I., Singh, R., Beerenwinkel, N., Li, Y., Boucher, C., & Bar-Joseph, Z. (2022). What are the keys to succeeding as a computational biologist in today's research climate? Cell Systems, 13(10), 781-785.

Kuehn, D., Zeisel, S. H., Orenstein, D. F., German, J. B., Field, C. J., Teerdhala, S., Knezevic, A., Patil, S., Donovan, S. M., & Lönnerdal, B. (2022). Effects of a Novel High-Quality Protein Infant Formula on Energetic Efficiency and Tolerance: A Randomized Trial. Journal of Pediatric Gastroenterology and Nutrition, 75(4), 521-528.

Lalani, Z., Chu, G., Hsu, S., Kagawa, S., Xiang, M., Zaccaria, S., & El-Kebir, M. (2022). CNAViz: An interactive webtool for user-guided segmentation of tumor DNA sequencing data. PLoS computational biology, 18(10), [e1010614].

Liu, X., & Milenkovic, O. (2022). Finding the second-best candidate under the Mallows model. Theoretical Computer Science, 929, 39-68.

Nijholt, E., & Deville, L. (2022). Dynamical systems defined on simplicial complexes: Symmetries, conjugacies, and invariant subspaces. Chaos, 32(9), [093131].

Greenberg, G., & Shomorony, I. (2022). Improving bacterial genome assembly using a test of strand orientation. Bioinformatics, 38, II34-II41.

Abdelmeguid, M., & Elbanna, A. (2022). Sequences of seismic and aseismic slip on bimaterial faults show dominant rupture asymmetry and potential for elevated seismic hazard. Earth and Planetary Science Letters, 593, [117648].

Amlani, F., Bhat, H. S., Simons, W. J. F., Schubnel, A., Vigny, C., Rosakis, A. J., Efendi, J., Elbanna, A. E., Dubernet, P., & Abidin, H. Z. (2022). Supershear shock front contribution to the tsunami from the 2018 Mw7.5 Palu, Indonesia earthquake. Geophysical Journal International, 230(3), 2089-2097.

Punyasena, S. W., Haselhorst, D. S., Kong, S., Fowlkes, C. C., & Moreno, J. E. (2022). Automated identification of diverse Neotropical pollen samples using convolutional neural networks. Methods in Ecology and Evolution, 13(9), 2049-2064.

Salners, T., Curry, J. F., Hinkle, A. R., Babuska, T. F., Argibay, N., DelRio, F. W., Chandross, M., & Dahmen, K. (2022). Linking Friction Scales from Nano to Macro via Avalanches. Tribology Letters, 70(3), [82].

Gibbs, T., Zhang, Y., Miller, Z. R., & ODwyer, J. P. (2022). Stability criteria for the consumption and exchange of essential resources. PLoS computational biology, 18(9), [e1010521].

Chien, E., Tabaghi, P., & Milenkovic, O. (2022). HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 201-211). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery.

Deter, H. S., & Lu, T. (2022). Engineering microbial consortia with rationally designed cellular interactions. Current Opinion in Biotechnology, 76, 102730.

Aguilar-Lopez, M., Wetzel, C., MacDonald, A., Ho, T. T. B., & Donovan, S. M. (2022). Metagenomic profile of the fecal microbiome of preterm infants consuming mother’s own milk with bovine milk–based fortifier or infant formula: a cross-sectional study. American Journal of Clinical Nutrition, 116(2), 435-445.

Hoang, T. H., Zehni, M., Xu, H., Heintz, G., Zallek, C., & Do, M. N. (2022). Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination. IEEE Journal of Biomedical and Health Informatics, 26(8), 4020-4031.

Liechty, J. M., Keck, A. S., Sloane, S., Donovan, S. M., & Fiese, B. H. (2022). Assessing Transdisciplinary Scholarly Development: A Longitudinal Mixed Method Graduate Program Evaluation. Innovative Higher Education, 47(4), 661-681.

Huang, X., Xin, Y., & Lu, T. (2022). A systematic, complexity-reduction approach to dissect the kombucha tea microbiome. eLife, 11, [e76401].

Zhang, S., Leistico, J. R., Cho, R. J., Cheng, J. B., & Song, J. S. (2022). Spectral clustering of single-cell multi-omics data on multilayer graphs. Bioinformatics, 38(14), 3600-3608.

Wang, X., Shih, H. Y., & Goldenfeld, N. (2022). Stochastic Model for Quasi-One-Dimensional Transitional Turbulence with Streamwise Shear Interactions. Physical review letters, 129(3), [034501].

Zhang, C., Sashittal, P., Xiang, M., Zhang, Y., Kazi, A., & El-Kebir, M. (2022). Accurate Identification of Transcription Regulatory Sequences and Genes in Coronaviruses. Molecular biology and evolution, 39(7), [msac133].

Das, P., & Varshney, L. R. (2022). Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. IEEE Signal Processing Magazine, 39(4), 85-95.

Naik, A., Varshney, L. R., Hassaneen, W., & Arnold, P. M. (2022). Letter: Development of Machine Learning-Based Models to Predict Treatment Response to Spinal Cord Stimulation. Neurosurgery, 91(1), e30.

Ishaq, S. L., Wissel, E. F., Wolf, P. G., Grieneisen, L., Eggleston, E. M., Mhuireach, G., Friedman, M., Lichtenwalner, A., Otero Machuca, J., Weatherford Darling, K., Pearson, A. L., Wertheim, F. S., Johnson, A. J., Hodges, L., Young, S. K., Nielsen, C. C., Kozyrskyj, A. L., MacRae, J. D., Myers, E. M., ... Hosler, S. (2022). Designing the Microbes and Social Equity Symposium: A Novel Interdisciplinary Virtual Research Conference Based on Achieving Group-Directed Outputs. Challenges, 13(2).

Xu, Y., Yang, J., Li, W., Song, S., Shi, Y., Wu, L., Sun, J., Hou, M., Wang, J., Jia, X., Zhang, H., Huang, M., Lu, T., Gan, J., & Feng, Y. (2022). Three enigmatic BioH isoenzymes are programmed in the early stage of mycobacterial biotin synthesis, an attractive anti-TB drug target. PLoS pathogens, 18(7 July), [e1010615].

Ge, X., Goodwin, R. T., Yu, H., Romero, P., Abdelrahman, O., Sudhalkar, A., Kusuma, J., Cialdella, R., Garg, N., & Varshney, L. R. (2022). Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. In Proceedings of the 4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022 (pp. 340-352). (ACM International Conference Proceeding Series; Vol. Par F180472). Association for Computing Machinery.

Jankelow, A. M., Lee, H., Wang, W., Hoang, T. H., Bacon, A., Sun, F., Chae, S., Kindratenko, V., Koprowski, K., Stavins, R. A., Ceriani, D. D., Engelder, Z. W., King, W. P., Do, M. N., Bashir, R., Valera, E., & Cunningham, B. T. (2022). Smartphone clip-on instrument and microfluidic processor for rapid sample-to-answer detection of Zika virus in whole blood using spatial RT-LAMP. Analyst, 147(17), 3838-3853.

Abolfathi, M., Shomorony, I., Vahid, A., & Jafarian, J. H. (2022). A Game-Theoretically Optimal Defense Paradigm against Traffic Analysis Attacks using Multipath Routing and Deception. In SACMAT 2022 - Proceedings of the 27th ACM Symposium on Access Control Models and Technologies (pp. 67-78). (Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT). Association for Computing Machinery.

Bandak, D., Goldenfeld, N., Mailybaev, A. A., & Eyink, G. (2022). Dissipation-range fluid turbulence and thermal noise. Physical Review E, 105(6), [065113].

Davis, E. C., Wang, M., & Donovan, S. M. (2022). Microbial Interrelationships across Sites of Breastfeeding Mothers and Infants at 6 Weeks Postpartum. Microorganisms, 10(6).

Bode, L., & Donovan, S. M. (2022). Fructooligosaccharides are not the same as Fucosylated Human Milk Oligosaccharides. Advances in Nutrition, 13(3), 972-973.

Goyal, M., Serrano, G., Argemi, J., Shomorony, I., Hernaez, M., & Ochoa-Alvarez, I. (2022). JIND: Joint integration and discrimination for automated single-cell annotation. Bioinformatics, 38(9), 2488-2495.

Bhimaraju, A., Chatterjee, A., & Varshney, L. R. (2022). Expected Extinction Times of Epidemics With State-Dependent Infectiousness. IEEE Transactions on Network Science and Engineering, 9(3), 1104-1116.

Colussi, J., Morgan, E. L., Schnitkey, G. D., & Padula, A. D. (2022). How Communication Affects the Adoption of Digital Technologies in Soybean Production: A Survey in Brazil. Agriculture (Switzerland), 12(5), [611].

Kara, A. D., Raginsky, M., & Yüksel, S. (2022). Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control. Automatica, 139, [110179].

Mia, M. S., Abdelmeguid, M., & Elbanna, A. E. (2022). Spatio-Temporal Clustering of Seismicity Enabled by Off-Fault Plasticity. Geophysical Research Letters, 49(8), [e2021GL097601].

Sutkus, L. T., Joung, S., Hirvonen, J., Jensen, H. M., Ouwehand, A. C., Mukherjea, R., Donovan, S. M., & Dilger, R. N. (2022). Influence of 2′-Fucosyllactose and Bifidobacterium longum Subspecies infantis Supplementation on Cognitive and Structural Brain Development in Young Pigs. Frontiers in Neuroscience, 16, [860368].

Spencer, T. E., Wells, K. D., Lee, K., Telugu, B. P., Hansen, P. J., Bartol, F. F., Blomberg, L., Schook, L. B., Dawson, H., Lunney, J. K., Driver, J. P., Davis, T. A., Donovan, S. M., Dilger, R. N., Saif, L. J., Moeser, A., McGill, J. L., Smith, G., & Ireland, J. J. (2022). Future of biomedical, agricultural, and biological systems research using domesticated animals. Biology of reproduction, 106(4), 629-638.

Oh, C., Sashittal, P., Zhou, A., Wang, L., El-Kebir, M., & Nguyen, T. H. (2022). Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics. Applied and environmental microbiology, 88(7), [e0228921].

Tabatabaei, S. K., Pham, B., Pan, C., Liu, J., Chandak, S., Shorkey, S. A., Hernandez, A. G., Aksimentiev, A., Chen, M., Schroeder, C. M., & Milenkovic, O. (2022). Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing. Nano letters, 22(5), 1905-1914.

Ellis, J. L., Wang, M., Fu, X., Fields, C. J., Donovan, S. M., & Booth, S. L. (2022). Feeding Practice and Delivery Mode Are Determinants of Vitamin K in the Infant Gut: An Exploratory Analysis. Current Developments in Nutrition, 6(3), [nzac019].

Moreno, L. A., Meyer, R., Donovan, S. M., Goulet, O., Haines, J., Kok, F. J., & Van't Veer, P. (2022). Perspective: Striking a Balance between Planetary and Human Health-Is There a Path Forward? Advances in Nutrition, 13(2), 355-375.

Hughes, R. L., Alvarado, D. A., Swanson, K. S., & Holscher, H. D. (2022). The Prebiotic Potential of Inulin-Type Fructans: A Systematic Review. Advances in Nutrition, 13(2), 492-529.

Hornick, T., Richter, A., Harpole, W. S., Bastl, M., Bohlmann, S., Bonn, A., Bumberger, J., Dietrich, P., Gemeinholzer, B., Grote, R., Heinold, B., Keller, A., Luttkus, M. L., Mäder, P., Motivans Švara, E., Passonneau, S., Punyasena, S. W., Rakosy, D., Richter, R., ... Dunker, S. (2022). An integrative environmental pollen diversity assessment and its importance for the Sustainable Development Goals. Plants People Planet, 4(2), 110-121.

Traniello, I. M., Hamilton, A. R., Gernat, T., Cash-Ahmed, A. C., Harwood, G. P., Ray, A. M., Glavin, A., Torres, J., Goldenfeld, N., & Robinson, G. E. (2022). Context-dependent influence of threat on honey bee social network dynamics and brain gene expression. Journal of Experimental Biology, 225(6), [jeb243738].

Lee, N. M., Varshney, L. R., Michelson, H. C., Goldsmith, P., & Davis, A. (2022). Digital trust substitution technologies to support smallholder livelihoods in Sub-Saharan Africa. Global Food Security, 32, [100604].

Fung, T., O'Dwyer, J. P., & Chisholm, R. A. (2022). Effects of temporal environmental stochasticity on species richness: a mechanistic unification spanning weak to strong temporal correlations. Oikos, 2022(3), [e08667].

Shen, H., Huerta, E. A., O'Shea, E., Kumar, P., & Zhao, Z. (2022). Statistically-informed deep learning for gravitational wave parameter estimation. Machine Learning: Science and Technology, 3(1), [015007].

Shomorony, I., & Heckel, R. (2022). Information-Theoretic Foundations of DNA Data Storage. Foundations and Trends in Communications and Information Theory, 19(1), 1-106.

Lundquist, A., McBride, B. A., Donovan, S. M., & Wszalek, M. (2022). Father support for breastfeeding mothers who plan to utilize childcare: A qualitative look at Mothers’ perspectives. Appetite, 169, [105854].

Kern, J., Dupraz, E., Aïssa-El-Bey, A., Varshney, L. R., & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), [853].

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