Faculty and Staff Publications

Strunov, A., Schneider, D. I., Albertson, R., & Miller, W. J. (2017). Restricted distribution and lateralization of mutualistic Wolbachia in the Drosophila brain. Cellular Microbiology, 19(1).

DeBruhl, H., Albertson, R., Swider, Z., & Sullivan, W. (2016). Rop, the Sec1/Munc18 homolog in Drosophila, is required for furrow ingression and stable cell shape during cytokinesis. Journal of Cell Science, 129(2), 430-443.

Serbus, L. R., White, P. M., Silva, J. P., Rabe, A., Teixeira, L., Albertson, R., et al. (2015). The Impact of Host Diet on Wolbachia Titer in Drosophila. Plos Pathogens, 11(3).

Albertson, R., Tan, V., Leads, R. R., Reyes, M., Sullivan, W., & Casper-Lindley, C. (2013). Mapping Wolbachia distributions in the adult Drosophila brain. Cellular Microbiology, 15(9), 1527-1544.

Albertson, R., Casper-Lindley, C., Cao, J., Tram, U., & Sullivan, W. (2009). Symmetric and Asymmetric Mitotic Segregation Patterns Influence Wolbachia Distribution in Host Somatic Tissue. Journal of Cell Science.

Mitchell, C. E., Alozie, N. M., & Wathington, H. D. (2015). Investigating the Potential of Community College Developmental Summer Bridge Programs in Facilitating Student Adjustment to Four-Year Institutions. Community College Journal of Research and Practice, 39(4), 366-382.

Alozie, N., & Mitchell, C. (2014). Getting Students Talking: Supporting Classroom Discussion Practices in Inquiry-Based Science in Real-Time Teaching. The American Biology Teacher, 76(8), 501-506.

Alozie, N. M., Grueber, D. J., & Dereski, M. O. (2012). Promoting 21st-Century Skills in the Science Classroom by Adapting Cookbook Lab Activities: The Case of DNA Extraction of Wheat Germ. The American Biology Teacher, 74(7), 485-489.

Anderson, P. L., Sabzikar, F., & Meerschaert, M. M. (2021). Parsimonious time series modeling for high frequency climate data. Journal of Time Series Analysis.

Heitman, K., Rabquer, B., Heitman, E., Streu, C., & Anderson, P. (2018). The Use of Lavender Aromatherapy to Relieve Stress in Trailered Horses. Journal of Equine Veterinary Science, 63, 8-12.

Anderson, P. L., Meerschaert, M. M., & Zhang, K. (2013). Forecasting with prediction intervals for periodic autoregressive moving average models. Journal of Time Series Analysis, 34(2), 187-193.

Tesfaye, Y. G., Anderson, P. L., & Meerschaert, M. M. (2011). Asymptotic Results for Fourier-Parma Time Series. Journal of Time Series Analysis, 32(2), 157-174.

Anderson, P. L., Kavalieris, L., & Meerschaert, M. M. (2008). Innovations algorithm asymptotics for periodically stationary time series with heavy tails. Journal of Multivariate Analysis, 99(1), 94–116.

Anderson, P. L., Tesfaye, Y. G., & Meerschaert, M. M. (2007). Fourier-PARMA Models and Their Application to River Flows. Journal of Hydrologic Engineering, 12(5), 462-472.

Tesfaye, Y. G., Meerschaert, M. M., & Anderson, P. L. (2006). Identification of Periodic Autoregressive Moving Average Models and Their Application to the Modeling of River Flows. Water Resources Research, 42(1).

Anderson, P. L., & Meerschaert, M. M. (2005). Parameter Estimation for Periodically Stationary Time Series. Journal of Time Series Analysis, 26(4), 489-518.

Ariza, D., Togunde, ‘D., & Berkey, L. (2010). Puerto Rican Youth School Achievement and Aspirations in Orlando, Florida, USA. International Journal of Learning, 17(5), 143-178.

Ariza, D. (2010). Puerto Rican Youth in Central Florida: Adaptation and Identity. Centro Journal, 22(1), 129-153.

Ariza, D. (2009). Latino/a Youth Identity and Adaptation: A Socio-Cultural Comparison of Mexican and Mexican American Students at a Predominantly White Campus. Lambert Academic Publishing.

Ariza, D., & Berkey, L. (2009). Constructing “Multiple” Conceptions of Blackness:   A Case Study of How African American Students Contest Identity at a Predominantly White Liberal Arts College in the United States. Journal of International Social Research, 2(8), 42-59.

Bahado-Singh, R. O., Vishweswaraiah, S., Aydas, B., Mishra, N. K., Guda, C., & Radhakrishna, U. (2019). Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy. International Journal of Molecular Sciences, 20(9), 2075.

Bahado-Singh, R. O., Sonek, J., McKenna, D., Cool, D., Aydas, B., Turkoglu, O., . . . Yilmaz, A. (2019). Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix. Ultrasound in Obstetrics & Gynecology, 54(1), 110-118.