Справочник "Биофизики России"

Найдено: 3886.

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• Cantrell R. S., Cosner C. Diffusion models for population dynamics incorporating individual behavior at boundaries: applications to refuge design // Theor. Popul. Biol., 1999, v. 55, p. 189 - 207.
• Chau K. W., Jin H. S. Depth-averaged, two-dimensional eutrophication modelling for Tolo Harbour, Hong Kong // Env. Modeling and Assessment, 1999, v. 4, p. 189 - 199.
• Csallner A. E., Csendes T., Markot M. C. Multisection in interval branch-and-bound methods for global optimization. II. Numerical tests // J. Global Optimization, 1999, v. 16, p. 219 - 228.
• Edwards A. M., Brindley J. Zooplankton mortality and the dynamical bahaviour of plankton population models // Bull. Math. Biol., 1999, v. 61, p. 303 - 339.
• Fadeev V. V., Filippova E. M., Maslov D. V., Matorin D. N., Venediktov P. S. Diagnostics of photosynthesising organisms by linear and non-linear fluorimetry Proc. of SPIE 1999 V.3821.p. 102-111
• Fennel K. Convection and the timing of phytoplankton spring blooms in the Western Baltic Sea // Estuarine, Coastal and Shelf Science, 1999, v. 49, p. 113 - 128.
• Flierl G., Grunbaum D., Levin S., Olson D. From individuals to aggregations: the interplay between behaviour and physics // J. Theor. Biol., 1999, v. 196, p. 397 - 454.
• Franke U., Hutter K., Johnk K. A physical-biological coupled model for algal dynamics in lakes // Bull. Math. Biol., 1999, v. 61, p. 239 - 272.
• Grimm V. Ten years of individual-based modeling in ecology: what have we learned and what could we learn in the future? Ecological modelling. – 1999. 115. – Pp.129 – 148.
• Grimm V. Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future // Ecol. Modelling, 1999, v. 115, p. 129 - 148.
• Hakanson L. On the prinsiples and factors determing the predictive success of ecosystem models, with a focus on lake eutrophication models // Ecol. Modelling, 1999, v. 121, p. 139 - 160.
• Han B.-P., Virtanen M., Koponen J., Straskraba M. Predictors of light-limited growth and competition of phytoplankton in a well-mixed water column // J. Theor. Biol., 1999, v. 197, p. 439 - 450.
• Han Youngsoo, Rumbal Ja. V., Strakhovskaja M. G., Parkhomenko I. M. Destructive action of UVA, UVB and UVC on cultured mammalian cells and possibility of its photoreactivation // Egyptian Journal of Biophysics, 1999, vol. 4, N 1, p. 122‑129.
• Hossain M. A. Modeling advective-dispersive transport with reaction: an accurate explicit finite difference model // Appl. Math. Comput., 1999, v. 102, p. 101 - 108.
• Hossain M. A., Yonge D. R. Simulating advective-dispersive transport in groundwater: an accurate finite difference model // Appl. Math. Comput., 1999, v. 105, p. 221 - 230.
• Jang S. R.-J., Allen L. J. S. A simple food chain with a growth inhibiting nutrient // Appl. Math. Comput., 1999, v. 104, p. 277 - 298.
• Jorgensen S. E. State-of-the-art of ecological modelling with emphasis on development of structural dynamic models // Ecol. Modelling, 1999, v. 120, p. 75 - 96.
• Jost C., Arino O., Arditi R. About deterministic extinction in ratio-dependent predator-prey models // Bull. Math. Biol., 1999, v. 61, p. 19 - 32.
• Lek S., Guegan J. F. Artificial neural networks as a tool in ecological modelling, an introduction Ecological Modelling. – 1999. 120. – Pp.65 – 73.
• Levich A. P., Solov'yov A. V. Category-functor modelling of natural systems Cybernatics and Systems. – 1999. 30, N.6. – Pp.571 – 585.

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