Biblio

L. E. Pimper, C. Baker, S., R. Goodall, N. P., ía, C., and Remis, íaI., “Mitochondrial DNA variation and population structure of Commerson’s dolphins (Cephalorhynchus commersonii) in their southernmost distribution”, Conservation Genetics, vol. 11, no. 6, pp. 2157 - 2168, 2010.

S. Kolluri, Bruey-Sedano, N., Cao, X., Lin, B., Lin, F., Han, Y. - H., Dawson, M. I., and Zhang, X. -kun, “Mitogenic effect of orphan receptor TR3 and its regulation by MEKK1 in lung cancer cells”, Molecular and cellular biology, vol. 23, pp. 8651–8667, 2003.

J. - E. Kim, Kwon, J. Yeon, Lee, D. Eun, Kang, N. Joo, Heo, Y. - S., Lee, K. Won, and Lee, H. Joo, “MKK4 is a novel target for the inhibition of tumor necrosis factor-alpha-induced vascular endothelial growth factor expression by myricetin.”, Biochem Pharmacol, vol. 77, no. 3, pp. 412-21, 2009.

S. L. Smith-Roe, Hegan, D. Campisi, Glazer, P. M., and Buermeyer, A. B., “Mlh1-dependent suppression of specific mutations induced in vivo by the food-borne carcinogen 2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine (PhIP)”, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, vol. 594, no. 1-2, pp. 101 - 112, 2006.

M. James Rinella and Sheley, R., “A model for predicting invasive weed and grass dynamics. I. Model development”, Weed Science, vol. 5365122612112881321131, no. 05, pp. 586 - 593, 2005.

M. James Rinella and Sheley, R., “A model for predicting invasive weed and grass dynamics. II. Accuracy evaluation”, Weed Science, vol. 5336511583335, no. 05, pp. 605 - 614, 2005.

R. äre, Wang, C., and Seavert, C., “A model of site-specific nutrient management”, Applied Economics, vol. 44131, no. 33, pp. 4369 - 4380, 2012.

S. L. Uesugi, Yarwood, R. R., Selker, J., and Bottomley, P. J., “A model that uses the induction phase of lux gene-dependent bioluminescence in Pseudomonas fluorescens HK44 to quantify cell density in translucent porous media”, Journal of microbiological methods, vol. 47, pp. 315–322, 2001.

B. Turner, Tidwell, V., Fernald, A. G., Rivera, é, Rodriguez, S., Guldan, S., Ochoa, C., Hurd, B., Boykin, K., and Cibils, A., “Modeling Acequia Irrigation Systems Using System Dynamics: Model Development, Evaluation, and Sensitivity Analyses to Investigate Effects of Socio-Economic and Biophysical Feedbacks”, Sustainability, vol. 85010, no. 10, p. 1019, 2016.

R. D. Stewart, Rupp, D. E., Najm, M. R. Abou, and Selker, J., “Modeling effect of initial soil moisture on sorptivity and infiltration”, Water Resources Research, vol. 49, pp. 7037–7047, 2013.

W. H. Bisson, Koch, D. C., O'Donnell, E. F., Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S. Kumar, “Modeling of the aryl hydrocarbon receptor (AhR) ligand binding domain and its utility in virtual ligand screening to predict new AhR ligands.”, J Med Chem, vol. 52, no. 18, pp. 5635-41, 2009.

W. H. Bisson, Koch, D. C., Donnell, E. F. ’, Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S., “Modeling of the Aryl Hydrocarbon Receptor (AhR) Ligand Binding Domain and Its Utility in Virtual Ligand Screening to Predict New AhR Ligands”, Journal of Medicinal Chemistry, vol. 52, no. 18, pp. 5635 - 5641, 2009.

W. H. Bisson, Koch, D. C., O'Donnell, E. F., Khalil, S. M., Kerkvliet, N. I., Tanguay, R. L., Abagyan, R., and Kolluri, S. Kumar, “Modeling of the aryl hydrocarbon receptor (AhR) ligand binding domain and its utility in virtual ligand screening to predict new AhR ligands”, Journal of medicinal chemistry, vol. 52, pp. 5635–5641, 2009.

A. G. Fernald, Tidwell, V., Rivera, é, íguez, S., Guldan, S., Steele, C., Ochoa, C., Hurd, B., Ortiz, M., Boykin, K., and Cibils, A., “Modeling Sustainability of Water, Environment, Livelihood, and Culture in Traditional Irrigation Communities and Their Linked Watersheds”, Sustainability, vol. 413731474316504231025363688456930, no. 11, pp. 2998 - 3022, 2012.

P. H. Brown, Tullos, D., Tilt, B., Magee, D., and Wolf, A. T., “Modeling the costs and benefits of dam construction from a multidisciplinary perspective”, Journal of environmental management, vol. 90, pp. S303–S311, 2009.

D. M. Palacios, Hazen, E. L., Schroeder, I. D., and Bograd, S. J., “Modeling the temperature-nitrate relationship in the coastal upwelling domain of the California Current”, Journal of Geophysical Research: Oceans, vol. 118, no. 7, pp. 3223 - 3239, 2013.

M. Stafford Smith, “Modeling: three approaches to predicting how herbivore impact is distributed in rangelands”, 1988.

M. C. Schantz, Hardegree, S. P., James, J. J., Sheley, R., and Becchetti, T., “Modeling Weather Effects on Plant Production in the California Annual Grassland”, Rangeland Ecology & Management, vol. 87, pp. 177 - 184, 2023.

R. Mata-González, Hunter, R. G., Coldren, C. L., McLendon, T., and Paschke, M. W., “Modelling plant growth dynamics in sagebrush steppe communities affected by fire”, Journal of Arid Environments, vol. 69, no. 1, pp. 144 - 157, 2007.

J. M. Antle and Valdivia, R. O., “Modelling the supply of ecosystem services from agriculture: a minimum-data approach*”, The Australian Journal of Agricultural and Resource Economics, vol. 50, no. 1, pp. 1 - 15, 2006.

J. Selker, “Modelling Variably Saturated Flow with HYDRUS-2D.”, Vadose Zone Journal, vol. 3, pp. 725–725, 2004.

K. W. Davies, Boyd, C. S., Copeland, S. M., and Bates, J. D., “Moderate Grazing During the Off-Season (Fall-Winter) Reduces Exotic Annual Grasses in Sagebrush-Bunchgrass Steppe”, Rangeland Ecology & Management, vol. 82, pp. 51 - 57, 2022.

M. E. Jurasek, Bishop-Stewart, J. K., Storey, B. E., Kaplan, R. M., and Kent, M. L., “Modification and further evaluation of a fluorescein-labeled peanut agglutinin test for identification of Haemonchus contortus eggs”, Veterinary Parasitology, vol. 169, no. 1-2, pp. 209 - 213, 2010.

R. A. Riggs, Tiedemann, A. R., Cook, J. G., Ballard, T. M., J, E. P., Vavra, M., Krueger, W. Clement, Hall, F. C., Bryant, L. D., Irwin, L. L., and Delcurto, T., “Modification of Mixed Conifer Forests by Ruminant Herbivores in the Blue Mountains Ecological Province”, 2000.

E. Peachey, Ludy, R. L., Powelson, M. L., and McGrath, D., “Modification of plant arrangement suppresses white mold of snap beans”, HortScience, vol. 41, pp. 1298-1302, 2006.