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Illinois IGB

Research Areas

Gene Networks in Neural & Developmental Plasticity: Publications

Liu, K., Pan, C., Kuhn, A., Nievergelt, A. P., Fantner, G. E., Milenkovic, O., & Radenovic, A. (2019). Detecting topological variations of DNA at single-molecule level. Nature communications, 10(1), [3]. https://doi.org/10.1038/s41467-018-07924-1

Román, F. J., Colom, R., Hillman, C. H., Kramer, A. F., Cohen, N. J., & Barbey, A. K. (2019). Cognitive and neural architecture of decision making competence. NeuroImage, 199, 172-183. https://doi.org/10.1016/j.neuroimage.2019.05.076

Dodd, L. D., Nowak, E., Lange, D., Parker, C. G., DeAngelis, R., Gonzalez, J. A., & Rhodes, J. S. (2019). Active feminization of the preoptic area occurs independently of the gonads in Amphiprion ocellaris. Hormones and Behavior, 112, 65-76. https://doi.org/10.1016/j.yhbeh.2019.04.002

Ujjainwala, A. L., Courtney, C. D., Wojnowski, N. M., Rhodes, J. S., & Christian, C. (2019). Differential impacts on multiple forms of spatial and contextual memory in diazepam binding inhibitor knockout mice. Journal of Neuroscience Research, 97(6), 683-697. https://doi.org/10.1002/jnr.24393

Rieger, S., Göllner, R., Spengler, M., Trautwein, U., Nagengast, B., Harring, J. R., & Roberts, B. W. (2019). The effects of getting a new teacher on the consistency of personality. Journal of Personality, 87(3), 485-500. https://doi.org/10.1111/jopy.12410

Rando, H. M., Wadlington, W. H., Johnson, J. L., Stutchman, J. T., Trut, L. N., Farré, M., & Kukekova, A. V. (2019). The Red Fox Y-Chromosome in Comparative Context. Genes, 10(6), [409]. https://doi.org/10.3390/genes10060409

Wang, X., Zhang, Y., Ren, X., Zhang, Y., Zitnik, M., Shang, J., ... Han, J. (2019). Cross-type biomedical named entity recognition with deep multi-task learning. Bioinformatics (Oxford, England), 35(10), 1745-1752. https://doi.org/10.1093/bioinformatics/bty869

MacKay, J. W. B., Russell, J. C., Clout, M. N., Murphy, E. C., & Hauber, M. E. (2019). See how they run: increased ranging behavior counters potential Allee effects in experimentally introduced house mice on an island. Biological Invasions, 21(5), 1669-1681. https://doi.org/10.1007/s10530-019-01927-9

Yang, C., Mikolov, T., Hoang, D. H., & Han, J. (2019). Place deduplication with embeddings. In The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019 (pp. 3420-3426). (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3308558.3313456

Schablitsky, J. M., Witt, K. E., Madrigal, J. R., Ellegaard, M. R., Malhi, R. S., & Schroeder, H. (2019). Ancient DNA analysis of a nineteenth century tobacco pipe from a Maryland slave quarter. Journal of Archaeological Science, 105, 11-18. https://doi.org/10.1016/j.jas.2019.02.006

Qin, E. C., Kandel, M. E., Liamas, E., Shah, T. B., Kim, C., Kaufman, C. D., ... Kong, H. J. (2019). Graphene oxide substrates with N-cadherin stimulates neuronal growth and intracellular transport. Acta Biomaterialia, 90, 412-423. https://doi.org/10.1016/j.actbio.2019.04.005

Bader, A. C., & Malhi, R. S. (2019). How Subjectivity Strengthens Research: Developing an Integrative Approach to Investigating Human Diet in the Pacific Northwest Coast. American Anthropologist, 121(2), 476-478. https://doi.org/10.1111/aman.13218

Malhi, R. S., Antón, S. C., & Fuentes, A. (2019). Increasing Diversity in Evolutionary Anthropological Sciences—the IDEAS Program. American Anthropologist, 121(2), 478-479. https://doi.org/10.1111/aman.13226

Ko, Y., Kim, J., & Rodriguez-Zas, S. L. (2019). Markov chain Monte Carlo simulation of a Bayesian mixture model for gene network inference. Genes and Genomics, 41(5), 547-555. https://doi.org/10.1007/s13258-019-00789-8

Son, K., You, J. S., Yoon, M. S., Dai, C., Kim, J. H., Khanna, N., ... Chen, J. (2019). Nontranslational function of leucyl-tRNA synthetase regulates myogenic differentiation and skeletal muscle regeneration. Journal of Clinical Investigation, 129(5), 2088-2093. https://doi.org/10.1172/JCI122560

Moskát, C., & Hauber, M. E. (2019). Sex-specific responses to simulated territorial intrusions in the common cuckoo: a dual function of female acoustic signaling. Behavioral Ecology and Sociobiology, 73(5), [60]. https://doi.org/10.1007/s00265-019-2665-0

Stein, L. R., & Bell, A. M. (2019). The role of variation and plasticity in parental care during the adaptive radiation of three-spine sticklebacks. Evolution, 73(5), 1037-1044. https://doi.org/10.1111/evo.13711

Lee, J. Y., Bai, Y., Chembazhi, U. V., Peng, S., Yum, K., Luu, L. M., ... Zimmerman, S. C. (2019). Intrinsically cell-penetrating multivalent and multitargeting ligands for myotonic dystrophy type 1. Proceedings of the National Academy of Sciences of the United States of America, 116(18), 8709-8714. https://doi.org/10.1073/pnas.1820827116

Talukdar, T., Zamroziewicz, M. K., Zwilling, C. E., & Barbey, A. K. (2019). Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega-3 PUFAs. Human Brain Mapping, 40(6), 1887-1897. https://doi.org/10.1002/hbm.24498

Wallberg, A., Bunikis, I., Pettersson, O. V., Mosbech, M. B., Childers, A. K., Evans, J. D., ... Webster, M. T. (2019). A hybrid de novo genome assembly of the honeybee, Apis mellifera, with chromosome-length scaffolds. BMC genomics, 20(1), [275]. https://doi.org/10.1186/s12864-019-5642-0

Hauber, M. E., Bond, A. L., Kouwenberg, A. L., Robertson, G. J., Hansen, E. S., Holford, M., ... Dale, J. (2019). The chemical basis of a signal of individual identity: Shell pigment concentrations track the unique appearance of Common Murre eggs. Journal of the Royal Society Interface, 16(153), [20190115]. https://doi.org/10.1098/rsif.2019.0115

Panfilio, K. A., Vargas Jentzsch, I. M., Benoit, J. B., Erezyilmaz, D., Suzuki, Y., Colella, S., ... Richards, S. (2019). Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome. Genome biology, 20(1), [64]. https://doi.org/10.1186/s13059-019-1660-0

Farré, M., Kim, J., Proskuryakova, A. A., Zhang, Y., Kulemzina, A. I., Li, Q., ... Larkin, D. M. (2019). Evolution of gene regulation in ruminants differs between evolutionary breakpoint regions and homologous synteny blocks. Genome Research, 29(4), 576-589. https://doi.org/10.1101/gr.239863.118

Hanley, D., López, A. V., Fiorini, V. D., Reboreda, J. C., Grim, T., & Hauber, M. E. (2019). Variation in multicomponent recognition cues alters egg rejection decisions: A test of the optimal acceptance threshold hypothesis. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1769), [20180195]. https://doi.org/10.1098/rstb.2018.0195

Briley, D. A., Livengood, J. M., Derringer, J. L., Tucker-Drob, E. M., Fraley, R. C., & Roberts, B. W. (2019). Interpreting Behavior Genetic Models: Seven Developmental Processes to Understand. Behavior genetics, 49(2), 196-210. https://doi.org/10.1007/s10519-018-9939-6

Thapa, S., Gates, M. K., Reuter-Carlson, U., Androwski, R. J., & Schroeder, N. E. (2019). Convergent evolution of saccate body shapes in nematodes through distinct developmental mechanisms. EvoDevo, 10(1), [5]. https://doi.org/10.1186/s13227-019-0118-5

St John, M. E., & Fuller, B. C. (2019). The effects of experimental design on mating preferences and reproductive isolation in killifish. Behavioral Ecology, 30(1), 92-100. https://doi.org/10.1093/beheco/ary150

Hammerslag, L. R., Belagodu, A. P., Aladesuyi Arogundade, O. A., Karountzos, A. G., Guo, Q., Galvez, R., ... Gulley, J. M. (2019). Adolescent impulsivity as a sex-dependent and subtype-dependent predictor of impulsivity, alcohol drinking and dopamine D 2 receptor expression in adult rats Addiction Biology, 24(2), 193-205. https://doi.org/10.1111/adb.12586

Kim, B. M., Amores, A., Kang, S., Ahn, D. H., Kim, J. H., Kim, I. C., ... Park, H. (2019). Antarctic blackfin icefish genome reveals adaptations to extreme environments. Nature Ecology and Evolution, 3(3), 469-478. https://doi.org/10.1038/s41559-019-0812-7

Bibak, K., & Milenkovic, O. (2019). Explicit formulas for the weight enumerators of some classes of deletion correcting codes. IEEE Transactions on Communications, 67(3), 1809-1816. [8573841]. https://doi.org/10.1109/TCOMM.2018.2886354

Wang, S., Huang, E., Cairns, J., Peng, J., Wang, L., & Sinha, S. (2019). Identification of pathways associated with chemosensitivity through network embedding. PLoS computational biology, 15(3), e1006864. https://doi.org/10.1371/journal.pcbi.1006864

Zwilling, C. E., Talukdar, T., Zamroziewicz, M. K., & Barbey, A. K. (2019). Nutrient biomarker patterns, cognitive function, and fMRI measures of network efficiency in the aging brain. NeuroImage, 188, 239-251. https://doi.org/10.1016/j.neuroimage.2018.12.007

Hu, C., Sam, R., Shan, M., Nastasa, V., Wang, M., Kim, T., ... Popescu, G. (2019). Optical excitation and detection of neuronal activity. Journal of Biophotonics, 12(3), [e201800269]. https://doi.org/10.1002/jbio.201800269

Grosz, M. P., Göllner, R., Rose, N., Spengler, M., Trautwein, U., Rauthmann, J. F., ... Roberts, B. W. (2019). The development of narcissistic admiration and Machiavellianism in early adulthood. Journal of personality and social psychology, 116(3), 467-482. https://doi.org/10.1037/pspp0000174

Hughes, K. J., Rodriguez, A., Flatt, K. M., Ray, S., Schuler, A., Rodemoyer, B., ... Vidal-Gadea, A. G. (2019). Physical exertion exacerbates decline in the musculature of an animal model of Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences of the United States of America, 116(9), 3508-3517. https://doi.org/10.1073/pnas.1811379116

Sigdel, D., Kyi, V., Zhang, A., Setty, S. P., Liem, D. A., Shi, Y., ... Ping, P. (2019). Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications. Journal of visualized experiments : JoVE, (144). https://doi.org/10.3791/59108

Negi, S., Bolt, C. C., Zhang, H., & Stubbs, L. J. (2019). An extended regulatory landscape drives Tbx18 activity in a variety of prostate-associated cell lineages. Developmental Biology, 446(2), 180-192. https://doi.org/10.1016/j.ydbio.2018.11.023

Seimetz, J., Arif, W., Bangru, S., Hernaez, M., & Kalsotra, A. (2019). Cell-type specific polysome profiling from mammalian tissues. Methods, 155, 131-139. https://doi.org/10.1016/j.ymeth.2018.11.015

Masonbrink, R., Maier, T. R., Muppirala, U., Seetharam, A. S., Lord, E., Juvale, P. S., ... Baum, T. J. (2019). The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes. BMC genomics, 20(1), [119]. https://doi.org/10.1186/s12864-019-5485-8

Rivera, M., Cealie, M. K., Hauber, M. E., Kleindorfer, S., & Liu, W. C. (2019). Neural activation in response to conspecific songs in zebra finch (Taeniopygia guttata) embryos and nestlings. NeuroReport, 30(3), 217-221. https://doi.org/10.1097/WNR.0000000000001187

Mailing, L. J., Allen, J. M., Pence, B. D., Rytych, J., Sun, Y., Bhattacharya, T. K., ... Woods, J. A. (2019). Behavioral response to fiber feedingis cohort-dependent and associated with gut microbiota composition in mice. Behavioural Brain Research, 359, 731-736. https://doi.org/10.1016/j.bbr.2018.09.012

Bastounes, E. R., Rando, H. M., Johnson, J. L., Trut, L. N., Sacks, B. N., Driscoll, C. A., ... Kukekova, A. V. (2019). Four structural variants associated with human-directed sociability in dogs are not found in tame red foxes (Vulpes vulpes). Animal genetics, 50(1), 116-118. https://doi.org/10.1111/age.12755

Chapman, B. P., Huang, A., Horner, E., Peters, K., Sempeles, E., Roberts, B. W., & Lapham, S. (2019). High school personality traits and 48-year all-cause mortality risk: Results from a national sample of 26 845 baby boomers. Journal of Epidemiology and Community Health, 73(2), 106-110. https://doi.org/10.1136/jech-2018-211076

Aidala, Z., Strausberger, B. M., & Hauber, M. E. (2019). Increased egg-nest visual contrast does not induce egg ejection in the eastern phoebe (Sayornis phoebe), an accepter host of the brood parasitic brown-headed cowbird (Molothrus ater). Journal of Comparative Psychology, 133(1), 46-55. https://doi.org/10.1037/com0000130

Zhang, Q., Duplany, A., Moncollin, V., Mouradian, S., Goillot, E., Mazelin, L., ... Gangloff, Y. G. (2019). Lack of muscle mTOR kinase activity causes early onset myopathy and compromises whole-body homeostasis. Journal of Cachexia, Sarcopenia and Muscle, 10(1), 35-53. https://doi.org/10.1002/jcsm.12336

Nickel, L. B., Roberts, B. W., & Chernyshenko, O. S. (2019). No evidence of a curvilinear relation between conscientiousness and relationship, work, and health outcomes. Journal of personality and social psychology, 116(2), 296-312. https://doi.org/10.1037/pspp0000176

Robertson, H. M., Robertson, E. C. N., Walden, K. K. O., Enders, L. S., & Miller, N. J. (2019). The chemoreceptors and odorant binding proteins of the soybean and pea aphids. Insect Biochemistry and Molecular Biology, 105, 69-78. https://doi.org/10.1016/j.ibmb.2019.01.005

Zhu, Q., Ren, X., Shang, J., Zhang, Y., El-Kishky, A., & Han, J. (2019). Integrating local context and global cohesiveness for open information extraction. In WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining (pp. 42-50). (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3289600.3291030

Li, Q., Wang, X., Zhang, Y., Ling, F., Wu, C. H., & Han, J. (2019). Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, ... L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 420-427). [8621375] (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621375

Wang, X., Zhang, Y., Li, Q., Wu, C. H., & Han, J. (2019). PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, ... L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 540-547). [8621485] (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621485

Robertson, H. M. (2019). Molecular evolution of the major arthropod chemoreceptor gene families. Annual Review of Entomology, 64, 227-242. https://doi.org/10.1146/annurev-ento-020117-043322

Dron, W., Hunter, A., Sydney, A., Pal, S., Hancock, J., Scott, L., ... Horne, B. (2019). Multi-Domain Integration and Correlation Engine. In 2018 IEEE Military Communications Conference, MILCOM 2018 (pp. 1074-1079). [8599706] (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2018.8599706

Zhuang, H., Hanratty, T., & Han, J. (2019). Aspect-based sentiment analysis with minimal guidance. In SIAM International Conference on Data Mining, SDM 2019 (pp. 253-261). (SIAM International Conference on Data Mining, SDM 2019). Society for Industrial and Applied Mathematics Publications.

Naseri Kouzehgarani, G., Bothwell, M. Y., & Gillette, M. L. (Accepted/In press). Circadian rhythm of redox state regulates membrane excitability in hippocampal CA1 neurons. European Journal of Neuroscience. https://doi.org/10.1111/ejn.14334

Kannan, K., Shook, M., Li, Y., Robinson, G. E., & Ma, J. (2019). Comparative analysis of brain and fat body gene splicing patterns in the honey bee, Apis mellifera. G3: Genes, Genomes, Genetics, 9(4), 1055-1063. https://doi.org/10.1534/g3.118.200857

Ren, X., Jiang, M., Shang, J., & Han, J. (2019). Constructing structured information networks from massive text corpora. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 951-954). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3051107

Flatt, K. M., Beshers, C., Unal, C., Cohen, J. D., Sundaram, M. V., & Schroeder, N. E. (2019). Epidermal remodeling in Caenorhabditis elegans dauers requires the nidogen domain protein DEX-1. Genetics, 211(1), 169-183. https://doi.org/10.1534/genetics.118.301557

Cohen, J. D., Flatt, K. M., Schroeder, N. E., & Sundaram, M. V. (2019). Epithelial shaping by diverse apical extracellular matrices requires the nidogen domain protein DEX-1 in Caenorhabditis elegans. Genetics, 211(1), 185-200. https://doi.org/10.1534/genetics.118.301752

Li, S., Zhang, C., Lei, D., Li, J., & Han, J. (2019). GeoAttn: Localization of social media messages via attentional memory network. In SIAM International Conference on Data Mining, SDM 2019 (pp. 64-72). (SIAM International Conference on Data Mining, SDM 2019). Society for Industrial and Applied Mathematics Publications.

Roy, J., Dibaeinia, P., Fan, T. M., Sinha, S., & Das, A. (2019). Global analysis of osteosarcoma lipidomes reveal altered lipid profiles in metastatic versus nonmetastatic cells. Journal of Lipid Research, 60(2), 375-387. https://doi.org/10.1194/jlr.M088559

Shpigler, H. Y., Saul, M. C., Murdoch, E. E., Corona, F., Cash-Ahmed, A. C., Seward, C. H., ... Robinson, G. E. (2019). Honey bee neurogenomic responses to affiliative and agonistic social interactions. Genes, Brain and Behavior, 18(1), [e12509]. https://doi.org/10.1111/gbb.12509

Hanley, D., Gern, K., Hauber, M. E., & Grim, T. (2019). Host responses to foreign eggs across the avian visual color space. American Naturalist. https://doi.org/10.1086/703534

Hammer, R., Paul, E. J., Hillman, C. H., Kramer, A. F., Cohen, N. J., & Barbey, A. K. (2019). Individual differences in analogical reasoning revealed by multivariate task-based functional brain imaging. NeuroImage, 184, 993-1004. https://doi.org/10.1016/j.neuroimage.2018.09.011

Hauber, M. E., Luro, A., McCarty, C. J., Barateli, K., Cassey, P., Hansen, E. S., & Dale, J. (2019). Interannual repeatability of eggshell phenotype in individual female common Murres (Uria aalge). Canadian journal of zoology, 97(4), 385-391. https://doi.org/10.1139/cjz-2018-0172

Fogleman, A. J., Zahnd, W. E., Lipka, A. E., Malhi, R. S., Ganai, S., Delfino, K. R., & Jenkins, W. D. (Accepted/In press). Knowledge, attitudes, and perceived barriers towards genetic testing across three rural Illinois communities. Journal of Community Genetics. https://doi.org/10.1007/s12687-019-00407-w

Kim, D., Reyes-Ordoñez, A., & Chen, J. (2019). Lentivirus-mediated RNAi in skeletal myogenesis. In Methods in Molecular Biology (pp. 95-110). (Methods in Molecular Biology; Vol. 1889). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-8897-6_7

Manna, T. J., Moskát, C., Tong, L., Bán, M., Aidala, Z., Low, J., & Hauber, M. E. (Accepted/In press). Multiple Parasitism Reduces Egg Rejection in the Host (Acrocephalus arundinaceus) of a Mimetic Avian Brood Parasite (Cuculus canorus). Journal of Comparative Psychology. https://doi.org/10.1037/com0000166

Louder, M. I. M., Lawson, S., Lynch, K. S., Balakrishnan, C. N., & Hauber, M. E. (2019). Neural mechanisms of auditory species recognition in birds. Biological Reviews. https://doi.org/10.1111/brv.12518

Kramer, K., Andrade, F. C. D., Greenlee, A. J., Mendenhall, R., Bellisle, D., & Lemons Blanks, R. (2019). Periodic Earned Income Tax Credit (EITC) Payment, Financial Stress and Wellbeing: A Longitudinal Study. Journal of Family and Economic Issues. https://doi.org/10.1007/s10834-019-09618-2

Golle, J., Rose, N., Göllner, R., Spengler, M., Stoll, G., Hübner, N., ... Nagengast, B. (2019). School or Work? The Choice May Change Your Personality. Psychological Science, 30(1), 32-42. https://doi.org/10.1177/0956797618806298

Xiang, D., Zhao, S. D., & Tony Cai, T. (2019). Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests. Journal of the Royal Statistical Society. Series B: Statistical Methodology. https://doi.org/10.1111/rssb.12323

Yang, C., Liu, M., He, F., Zhang, X., Peng, J., & Han, J. (2019). Similarity modeling on heterogeneous networks via automatic path discovery. In F. Bonchi, M. Berlingerio, T. Gärtner, N. Hurley, & G. Ifrim (Eds.), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings (pp. 37-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11052 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-030-10928-8_3

Xin, D., El-Kishky, A., Liao, D., Norick, B., & Han, J. (2018). Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 1350-1355). [8594993] (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2018.00184

Tao, F., Zhang, C., Chen, X., Jiang, M., Hanratty, T., Kaplan, L., & Han, J. (2018). Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 1260-1265). [8594978] (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2018.00169

Zhi, S., Yang, F., Zhu, Z., Li, Q., Wang, Z., & Han, J. (2018). Dynamic Truth Discovery on Numerical Data. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 817-826). [8594906] (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2018.00097

Yang, C., Feng, Y., Li, P., Shi, Y., & Han, J. (2018). Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 657-666). [8594890] (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2018.00081

Bohn-Wippert, K., Tevonian, E. N., Lu, Y., Huang, M. Y., Megaridis, M. R., & Dar, R. D. (2018). Cell Size-Based Decision-Making of a Viral Gene Circuit. Cell Reports, 25(13), 3844-3857.e5. https://doi.org/10.1016/j.celrep.2018.12.009

Jeong, H., Moye, L. S., Southey, B. R., Hernandez, A. G., Dripps, I., Romanova, E. V., ... Rodriguez-Zas, S. L. (2018). Gene network dysregulation in the trigeminal ganglia and nucleus accumbens of a model of chronic migraine-associated hyperalgesia. Frontiers in Systems Neuroscience, 12, [63]. https://doi.org/10.3389/fnsys.2018.00063

Ravanmehr, V., Puleo, G. J., Bolouki, S., & Milenkovic, O. (2018). Paired threshold graphs. Discrete Applied Mathematics, 250, 291-308. https://doi.org/10.1016/j.dam.2018.05.008

Johnson, K. P., Dietrich, C. H., Friedrich, F., Beutel, R. G., Wipfler, B., Peters, R. S., ... Yoshizawa, K. (2018). Phylogenomics and the evolution of hemipteroid insects. Proceedings of the National Academy of Sciences of the United States of America, 115(50), 12775-12780. https://doi.org/10.1073/pnas.1815820115

Hanisch, P. E., Suarez, A., Tubaro, P. L., & Paris, C. I. (2018). Co-occurrence Patterns in a Subtropical Ant Community Revealed by Complementary Sampling Methodologies. Environmental entomology, 47(6), 1402-1412. https://doi.org/10.1093/ee/nvy143

Moreno-Mayar, J. V., Vinner, L., de Barros Damgaard, P., de la Fuente, C., Chan, J., Spence, J. P., ... Willerslev, E. (2018). Early human dispersals within the Americas. Science (New York, N.Y.), 362(6419). https://doi.org/10.1126/science.aav2621

Lee, G., Sherer, N. A., Kim, N. H., Rajic, E., Kaur, D., Urriola, N., ... Kuhlman, T. E. (2018). Testing the retroelement invasion hypothesis for the emergence of the ancestral eukaryotic cell. Proceedings of the National Academy of Sciences of the United States of America, 115(49), 12465-12470. https://doi.org/10.1073/pnas.1807709115

Tabe-Bordbar, S., Emad, A., Zhao, S. D., & Sinha, S. (2018). A closer look at cross-validation for assessing the accuracy of gene regulatory networks and models. Scientific Reports, 8(1), [6620]. https://doi.org/10.1038/s41598-018-24937-4

Summer internship for INdigenous peoples in Genomics (SING) Consortium (2018). A framework for enhancing ethical genomic research with Indigenous communities. Nature communications, 9(1), [2957]. https://doi.org/10.1038/s41467-018-05188-3

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Wang, C., Song, Y., Li, H., Zhang, M., & Han, J. (Accepted/In press). Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Mining and Knowledge Discovery, 1-33. https://doi.org/10.1007/s10618-018-0581-y

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Brandt, A. L., Green, M. L., Ishida, Y., Roca, A. L., Novakofski, J. E., & Mateus-Pinilla, N. E. (2018). Influence of the geographic distribution of prion protein gene sequence variation on patterns of chronic wasting disease spread in white-tailed deer (Odocoileus virginianus). Prion, 12(3-4), 204-215. https://doi.org/10.1080/19336896.2018.1474671

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Josek, T., Walden, K. K. O., Allan, B. F., Alleyne, M., & Robertson, H. M. (2018). A foreleg transcriptome for Ixodes scapularis ticks: Candidates for chemoreceptors and binding proteins that might be expressed in the sensory Haller's organ. Ticks and Tick-borne Diseases, 9(5), 1317-1327. https://doi.org/10.1016/j.ttbdis.2018.05.013

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Rivera, M., Louder, M. I. M., Kleindorfer, S., Liu, W. C., & Hauber, M. E. (2018). Avian prenatal auditory stimulation: progress and perspectives. Behavioral Ecology and Sociobiology, 72(7), [112]. https://doi.org/10.1007/s00265-018-2528-0

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Talukdar, T., Román, F. J., Operskalski, J. T., Zwilling, C. E., & Barbey, A. K. (2018). Individual differences in decision making competence revealed by multivariate fMRI. Human Brain Mapping, 39(6), 2664-2672. https://doi.org/10.1002/hbm.24032

Grigorev, K., Kliver, S., Dobrynin, P., Komissarov, A., Wolfsberger, W., Krasheninnikova, K., ... Oleksyk, T. K. (2018). Innovative assembly strategy contributes to understanding the evolution and conservation genetics of the endangered Solenodon paradoxus from the island of Hispaniola. GigaScience, 7(6), [giy025]. https://doi.org/10.1093/gigascience/giy025

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Cangellaris, O. V., & Gillette, M. L. (2018). Biomaterials for enhancing neuronal repair. Frontiers in Materials, 5, [21]. https://doi.org/10.3389/fmats.2018.00021

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Springer, M. S., Murphy, W. J., & Roca, A. L. (2018). Appropriate fossil calibrations and tree constraints uphold the Mesozoic divergence of solenodons from other extant mammals. Molecular Phylogenetics and Evolution, 121, 158-165. https://doi.org/10.1016/j.ympev.2018.01.007

Gabrys, R., Yaakobi, E., & Milenkovic, O. (2018). Codes in the Damerau Distance for Deletion and Adjacent Transposition Correction. IEEE Transactions on Information Theory, 64(4), 2550-2570. https://doi.org/10.1109/TIT.2017.2778143

Spengler, M., Damian, R. I., & Roberts, B. W. (2018). How you behave in school predicts life success above and beyond family background, broad traits, and cognitive ability. Journal of personality and social psychology, 114(4), 620-636. https://doi.org/10.1037/pspp0000185

Besel, D., Hauber, M. E., Hunter, C., Ward-Smith, T., Raubenheimer, D., Millar, C. D., & Ismar, S. M. H. (2018). Multifactorial roles of interannual variability, season, and sex for foraging patterns in a sexually size monomorphic seabird, the Australasian gannet (Morus serrator). Marine Biology, 165(4), [72]. https://doi.org/10.1007/s00227-018-3332-0

Bán, M., Moskát, C., Fülöp, A., & Hauber, M. E. (2018). Return migration of Common Cuckoos (Cuculus canorus) between breeding grounds in Hungary and wintering grounds in Africa as documented by non-PTT GPS technology. Journal of Ornithology, 159(2), 337-344. https://doi.org/10.1007/s10336-017-1508-x

Skariah, G., Perry, K. J., Drnevich, J., Henry, J. J., & Ceman, S. S. (2018). RNA helicase Mov10 is essential for gastrulation and central nervous system development. Developmental Dynamics, 247(4), 660-671. https://doi.org/10.1002/dvdy.24615

Ayoub, M., Gosling, S. D., Potter, J., Shanahan, M., & Roberts, B. W. (2018). The Relations Between Parental Socioeconomic Status, Personality, and Life Outcomes. Social Psychological and Personality Science, 9(3), 338-352. https://doi.org/10.1177/1948550617707018

Herb, B. R., Shook, M. S., Fields, C. J., & Robinson, G. E. (2018). Defense against territorial intrusion is associated with DNA methylation changes in the honey bee brain. BMC Genomics, 19(1), [216]. https://doi.org/10.1186/s12864-018-4594-0

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de la Colina, M. A., Pompilio, L., Hauber, M. E., Reboreda, J. C., & Mahler, B. (2018). Parasitic egg rejection decisions of chalk-browed mockingbirds Mimus saturninus are independent of clutch composition. Animal cognition, 21(2), 301-305. https://doi.org/10.1007/s10071-018-1161-7

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Gernat, T., Rao, V. D., Middendorf, M., Dankowicz, H., Goldenfeld, N. D., & Robinson, G. E. (2018). Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks. Proceedings of the National Academy of Sciences of the United States of America, 115(7), 1433-1438. https://doi.org/10.1073/pnas.1713568115

Fang, Y., Hill, C. M., Darcy, J., Reyes-Ordoñez, A., Arauz, E., McFadden, S., ... Bartke, A. (2018). Effects of rapamycin on growth hormone receptor knockout mice. Proceedings of the National Academy of Sciences of the United States of America, 115(7), E1495-E1503. https://doi.org/10.1073/pnas.1717065115

Qu, M., Tang, J., & Han, J. (2018). Curriculum learning for heterogeneous star network embedding via deep reinforcement learning. In WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining (Vol. 2018-Febuary, pp. 468-476). Association for Computing Machinery, Inc. https://doi.org/10.1145/3159652.3159711

Wu, Z., Ren, X., Xu, F. F., Li, J., & Han, J. (2018). Indirect supervision for relation extraction using question-answer pairs. In WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining (pp. 646-654). (WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining; Vol. 2018-Febuary). Association for Computing Machinery, Inc. https://doi.org/10.1145/3159652.3159709

Roberts, B. W. (2018). A Revised Sociogenomic Model of Personality Traits. Journal of Personality, 86(1), 23-35. https://doi.org/10.1111/jopy.12323

Moran, R. L., Soukup, R. M., Zhou, M., & Fuller, B. C. (2018). Egg viability decreases rapidly with time since ovulation in the rainbow darter Etheostoma caeruleum: implications for the costs of choosiness. Journal of Fish Biology, 92(2), 532-536. https://doi.org/10.1111/jfb.13523

Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S., & Han, J. (2018). GeoBurst+: Effective and real-time local event detection in geo-tagged tweet streams. ACM Transactions on Intelligent Systems and Technology, 9(3), [34]. https://doi.org/10.1145/3066166

Mendenhall, R., Kramer, K., & Bellisle, D. (2018). Low- and moderate-income families’ avenues to mobility: Overcoming threats to asset accumulation and remaining in undesirable neighborhoods. Research in Social Stratification and Mobility, 53, 26-39. https://doi.org/10.1016/j.rssm.2017.12.001

Moran, R. L., & Fuller, B. C. (2018). Male-driven reproductive and agonistic character displacement in darters and its implications for speciation in allopatry. Current Zoology, 64(1), 101-113. https://doi.org/10.1093/cz/zox069

de Flamingh, A., Roca, A. L., & van Aarde, R. J. (2018). Origin and phylogeography of African savannah elephants (Loxodonta africana) in Kruger and nearby parks in southern Africa. Conservation Genetics, 19(1), 155-167. https://doi.org/10.1007/s10592-017-1005-z

Shen, W., Han, J., Wang, J., Yuan, X., & Yang, Z. (2018). SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering, 30(2), 353-366. [7990163]. https://doi.org/10.1109/TKDE.2017.2730862

Bergeron, Z. T., & Fuller, B. C. (2018). Using human vision to detect variation in avian coloration: How bad is it? American Naturalist, 191(2), 269-276. https://doi.org/10.1086/695282

Luro, A. B., Igic, B., Croston, R., López, A. V., Shawkey, M. D., & Hauber, M. E. (2018). Which egg features predict egg rejection responses in American robins? Replicating Rothstein's (1982) study. Ecology and Evolution, 8(3), 1673-1679. https://doi.org/10.1002/ece3.3759

Johnson, A. M., Chang, C. H., & Fuller, B. C. (2018). Testing the potential mechanisms for the maintenance of a genetic color polymorphism in bluefin killifish populations. Current Zoology, 64(6), 733-743. https://doi.org/10.1093/cz/zoy017

Moreno-Mayar, J. V., Potter, B. A., Vinner, L., Steinrücken, M., Rasmussen, S., Terhorst, J., ... Willerslev, E. (2018). Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans. Nature, 553(7687), 203-207. https://doi.org/10.1038/nature25173

Bell, A. M., Trapp, R., & Keagy, J. (2018). Parenting behaviour is highly heritable in male stickleback. Royal Society Open Science, 5(1), [171029]. https://doi.org/10.1098/rsos.171029

Wills, B. D., Powell, S., Rivera, M. D., & Suarez, A. (2018). Correlates and Consequences of Worker Polymorphism in Ants. Annual Review of Entomology, 63, 575-598. https://doi.org/10.1146/annurev-ento-020117-043357

Rosenberger, C. L., & Chen, J. (2018). To Grow or Not to Grow: TOR and SnRK2 Coordinate Growth and Stress Response in Arabidopsis. Molecular cell, 69(1), 3-4. https://doi.org/10.1016/j.molcel.2017.12.013

de Flamingh, A., Mallott, E. K., Roca, A. L., Boraas, A. S., & Malhi, R. S. (2018). Species identification and mitochondrial genomes of ancient fish bones from the Riverine Kachemak tradition of the Kenai Peninsula, Alaska. Mitochondrial DNA Part B: Resources, 3(1), 409-411. https://doi.org/10.1080/23802359.2018.1456371

Palkopoulou, E., Lipson, M., Mallick, S., Nielsen, S., Rohland, N., Baleka, S., ... Reich, D. (2018). A comprehensive genomic history of extinct and living elephants. Proceedings of the National Academy of Sciences of the United States of America, 115(11), E2566-E2574. https://doi.org/10.1073/pnas.1720554115

Wang, S., Ma, J., Yu, M. K., Zheng, F., Huang, E. W., Han, J., ... Ideker, T. (2018). Annotating gene sets by mining large literature collections with protein networks. Pacific Symposium on Biocomputing, 0(212669), 602-613. https://doi.org/10.1142/9789813235533_0055

Fuller, B. C., & Endler, J. A. (2018). A perspective on sensory drive. Current Zoology, 64(4), 465-470. https://doi.org/10.1093/cz/zoy052

Shi, Y., Gui, H., Zhu, Q., Kaplan, L., & Han, J. (2018). ASPEM: Embedding learning by aspects in heterogeneous information networks. 144-152. Paper presented at 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, United States.

Zhu, W., Zhang, C., Yao, S., Gao, X., & Han, J. (2018). A spherical hidden Markov model for semantics-rich human mobility modeling. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 4613-4620). (32nd AAAI Conference on Artificial Intelligence, AAAI 2018). AAAI Press.

Felden, A., Paris, C. I., Chapple, D. G., Haywood, J., Suarez, A., Tsutsui, N. D., ... Gruber, M. A. M. (Accepted/In press). Behavioural variation and plasticity along an invasive ant introduction pathway. Journal of Animal Ecology. https://doi.org/10.1111/1365-2656.12886

Southey, B. R., Romanova, E. V., Rodriguez-Zas, S. L., & Sweedler, J. V. (2018). Bioinformatics for prohormone and neuropeptide discovery. In Methods in Molecular Biology (pp. 71-96). (Methods in Molecular Biology; Vol. 1719). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-7537-2_5

Kent, M., & Bell, A. M. (2018). Changes in behavior and brain immediate early gene expression in male threespined sticklebacks as they become fathers. Hormones and Behavior, 97, 102-111. https://doi.org/10.1016/j.yhbeh.2017.11.002

Jackson, K., & Robinson, G. E. (Accepted/In press). Contest experience does not increase survivorship in honey bee queen duels. Insectes Sociaux. https://doi.org/10.1007/s00040-018-0654-3

Misra, C., Lin, F., & Kalsotra, A. (2018). Deregulation of RNA metabolism in microsatellite expansion diseases. In Advances in Neurobiology (pp. 213-238). (Advances in Neurobiology; Vol. 20). Springer New York LLC. https://doi.org/10.1007/978-3-319-89689-2_8

Donaldson, M. E., Rico, Y., Hueffer, K., Rando, H. M., Kukekova, A. V., & Kyle, C. J. (2018). Development of a genotype-by-sequencing immunogenetic assay as exemplified by screening for variation in red fox with and without endemic rabies exposure. Ecology and Evolution, 8(1), 572-583. https://doi.org/10.1002/ece3.3583

Eckstrum, K. S., Edwards, W., Banerjee, A., Wang, W., Flaws, J. A., Katzenellenbogen, J. A., ... Raetzman, L. T. (2018). Effects of exposure to the endocrine-Disrupting chemical bisphenol a during critical windows of murine pituitary development. Endocrinology, 159(1), 119-131. https://doi.org/10.1210/en.2017-00565

Liu, L., Shang, J., Ren, X., Xu, F. F., Gui, H., Peng, J., & Han, J. (2018). Empower sequence labeling with task-aware neural language model. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 5253-5260). (32nd AAAI Conference on Artificial Intelligence, AAAI 2018). AAAI Press.

Mao, Y., Ren, X., Shen, J., Gu, X., & Han, J. (2018). End-to-end reinforcement learning for automatic taxonomy induction. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (pp. 2462-2472). (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); Vol. 1). Association for Computational Linguistics (ACL).

Cianzio, S. R., Arelli, P. R., Swaminathan, S., Lundeen, P., Gebhart, G., Rivera-Velez, N., ... Hudson, M. (2018). Genetically diverse soybean cyst nematode-resistant full-sib soybean germplasm lines AR4SCN, AR5SCN, AR6SCN, AR7SCN, and AR8SCN. Journal of Plant Registrations, 12(1), 124-131. https://doi.org/10.3198/jpr2017.03.0015crg

Robertson, H. M., Waterhouse, R. M., Walden, K. K. O., Ruzzante, L., Reijnders, M. J. M. F., Coates, B. S., ... Budak, H. (2018). Genome sequence of the wheat stem sawfly, cephus cinctus, representing an early-branching lineage of the hymenoptera, illuminates evolution of hymenopteran chemoreceptors. Genome biology and evolution, 10(11), 2997-3011. https://doi.org/10.1093/gbe/evy232

Viana, J. P. G., Siqueira, M. V. B. M., Araujo, F. L., Grando, C., Sujii, P. S., De Aguiar Silvestre, E., ... Zucchi, M. I. (2018). Genomic diversity is similar between Atlantic Forest restorations and natural remnants for the native tree Casearia sylvestris Sw. PloS one, 13(3), [e0192165]. https://doi.org/10.1371/journal.pone.0192165

Dutta, D., Lai, K. Y., Reyes-Ordoñez, A., Chen, J., & van der Donk, W. A. (2018). Lanthionine synthetase C-like protein 2 (LanCL2) is important for adipogenic differentiation. Journal of Lipid Research, 59(8), 1433-1445. https://doi.org/10.1194/jlr.M085274

Dau, H., & Milenkovic, O. (2018). Maxminsum steiner systems for access balancing in distributed storage. SIAM Journal on Discrete Mathematics, 32(3), 1644-1671. https://doi.org/10.1137/17M1143964

Kopp, M., Servedio, M. R., Mendelson, T. C., Safran, R. J., Rodríguez, R. L., Hauber, M. E., ... Van Doorn, G. S. (2018). Mechanisms of assortative mating in speciation with gene flow: Connecting theory and empirical research. American Naturalist, 191(1), 1-20. https://doi.org/10.1086/694889

Peng, J., Milenkovic, O., & Ochoa-Alvarez, I. (2018). METHCOMP: A special purpose compression platform for DNA methylation data. Bioinformatics, 34(15), 2654-2656. https://doi.org/10.1093/bioinformatics/bty143

Rong, Y., Zhao, S. D., Zhu, J., Yuan, W., Cheng, W., & Li, Y. (2018). More accurate semiparametric regression in pharmacogenomics. Statistics and its Interface, 11(4), 573-580. https://doi.org/10.4310/SII.2018.v11.n4.a2

Daugherty, A. M., Zwilling, C., Paul, E. J., Sherepa, N., Allen, C., Kramer, A. F., ... Barbey, A. K. (2018). Multi-modal fitness and cognitive training to enhance fluid intelligence. Intelligence, 66, 32-43. https://doi.org/10.1016/j.intell.2017.11.001

Nikolaidis, A., & Barbey, A. K. (2018). Network dynamics theory of human intelligence. In The Cambridge Handbook of the Neuroscience of Creativity (pp. 382-404). Cambridge University Press. https://doi.org/10.1017/9781316556238.022

Bui, H. X., & Schroeder, N. E. (2018). Postembryonic ventral nerve cord development and gonad migration in steinernema carpocapsae. Journal of Nematology, 50(1), 27-32. https://doi.org/10.21307/jofnem-2018-005

Li, P., He, N., & Milenkovic, O. (2018). Quadratic decomposable submodular function minimization. Advances in Neural Information Processing Systems, 2018-December, 1054-1064.

Smith, A. A., Suarez, A., & Liebig, J. (2018). Queen pheromones out of context: A comment on Holman. Behavioral Ecology, 29(6). https://doi.org/10.1093/beheco/ary065

Antón, S. C., Malhi, R. S., & Fuentes, A. (2018). Race and diversity in U.S. Biological Anthropology: A decade of AAPA initiatives. American journal of physical anthropology, 165, 158-180. https://doi.org/10.1002/ajpa.23382

Li, P., & Milenkovic, O. (2018). Revisiting decomposable submodular function minimization with incidence relations. Advances in Neural Information Processing Systems, 2018-December, 2237-2247.

Zhang, C., Liu, M., Liu, Z., Yang, C., Zhang, L., & Han, J. (2018). Spatiotemporal activity modeling under data scarcity: A graph-regularized cross-modal embedding approach. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 531-538). (32nd AAAI Conference on Artificial Intelligence, AAAI 2018). AAAI Press.

Li, P., & Milenkovic, O. (2018). Submodular hypergraphs: P-Laplacians, cheeger inequalities and spectral clustering. In J. Dy, & A. Krause (Eds.), 35th International Conference on Machine Learning, ICML 2018 (Vol. 7, pp. 4690-4719). International Machine Learning Society (IMLS).

Matos-Maraví, P., Matzke, N. J., Larabee, F. J., Clouse, R. M., Wheeler, W. C., Sorger, D. M., ... Janda, M. (Accepted/In press). Taxon cycle predictions supported by model-based inference in Indo-Pacific trap-jaw ants (Hymenoptera: Formicidae: Odontomachus). Molecular Ecology. https://doi.org/10.1111/mec.14835

Kleindorfer, S., Hauber, M. E., & Colombelli-Négrel, DI. (2018). Teaching behavior is responsive and costly in fairy-wrens though the time course needs to be defined. Behavioral Ecology, 29(1), e3-e4. https://doi.org/10.1093/beheco/arx132

Mendenhall, R. (2018). The medicalization of poverty in the lives of low-income black mothers and children. Journal of Law, Medicine and Ethics, 46(3), 644-650. https://doi.org/10.1177/1073110518804218

Mitchem, L. D., Stanis, S., Sutton, N. M., Turner, Z., & Fuller, B. C. (2018). The pervasive effects of lighting environments on sensory drive in bluefin killifish: An investigation into male/male competition, female choice, and predation. Current Zoology, 64(4), 499-512. https://doi.org/10.1093/cz/zoy038

Jiang, W., Miao, C., Su, L., Li, Q., Hu, S., Wang, S., ... Kaplan, L. (2018). Towards quality aware information integration in distributed sensing systems. IEEE Transactions on Parallel and Distributed Systems, 29(1), 198-211. https://doi.org/10.1109/TPDS.2017.2712630