Biblio

Found 416 results
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Journal Article
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.
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.
M. M. Rowland, Nielson, R. M., Bohnert, D. W., Endress, B. A., Wisdom, M. J., and Averett, J. P., Modeling Riparian Use by Cattle – Influence of Management, Season, and Weather, Rangeland Ecology & Management, 2024.
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.
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.
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.
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.
R. äre, Wang, C., and Seavert, C., A model of site-specific nutrient management, Applied Economics, vol. 44131, no. 33, pp. 4369 - 4380, 2012.
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.
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.
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.
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. 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.
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.
N. J. Patenaude, Portway, V., Bannister, J. L., Best, P., Payne, R., Rowntree, V., Rivarola, M., and C. Baker, S., Mitochondrial DNA diversity and population structure among southern right whales (Eubalaena australis), Journal of Heredity, 2007.
J. H. Davis, Griffith, S. M., Horwath, W. R., Steiner, J. J., and Myrold, D. D., Mitigation of Shallow Groundwater Nitrate in a Poorly Drained Riparian Area and Adjacent Cropland, Journal of Environment Quality, vol. 36, no. 3, p. 628, 2007.
J. Lee, Dossett, M., and Finn, C. E., Mistaken Identity: Clarification of Rubus coreanus Miquel (Bokbunja), Molecules, vol. 193111718910777101739481339465659696944, no. 7, pp. 10524 - 10533, 2014.
R. Haapala and Murthy, G. S., Mir Abbas Bozorgirad, Hao Zhang, Karl, 2012.
J. M. Antle, Diagana, B., Stoorvogel, J. J., and Valdivia, R. O., Minimum-data analysis of ecosystem service supply in semi-subsistence agricultural systems, Australian Journal of Agricultural and Resource Economics, vol. 54, no. 4, pp. 601 - 617, 2010.
S. Buccola, Li, C., and Reimer, J., Minimum Wages, Immigration Control, and Agricultural Labor Supply, American Journal of Agricultural Economics, vol. 94, no. 2, pp. 464 - 470, 2012.
K. Wollstein, O'Connor, C., Gear, J., and Hoagland, R., Minimize the Bad Days: Wildland Fire Response and Suppression Success, Rangelands, vol. 44, no. 3, pp. 187 - 193, 2022.
R. A. Reinhardt, Johnson, G. K., and Tussing, G. J., Miniature fiber optics for improved detection of root irregularities., Gen Dent, vol. 36, no. 6, pp. 461-6, 1988.
A. D. Moore, Alva, A. K., Collins, H. P., and Boydston, R. A., Mineralization of Nitrogen from Biofuel By-products and Animal Manures Amended to a Sandy Soil, Communications in Soil Science and Plant Analysis, vol. 41, no. 11, pp. 1315 - 1326, 2010.