Table Of Content

ELSEVIER Author Index to Volumes 131-138 Acharya, Raj, See Wasserman, Richard Eisenfeld, J., 132:111 Afenya, Evans, 138:79 Engen, Steinar, and Russell Lande, Allen, Linda J. S., and Phyllis J. Cormier, 131:169 131:51 Ferguson, Neil M., D. James Nokes, and Anderson, Roy M., See Ferguson, Neil M. Roy M. Anderson, 138:101 Axelrod, David E., See Stivers, David N. Ferretti, Vincent, and David Sankoff, Bastin, G., See Chen, L. 134:71 Becker, Niels G., and Robert Hall, Gabriel, J.-P., See Jeanprétre, N. 132:205 and Vladimir Rouderfer, 131:81 Gibb, William J., Mary B. Wagner, and Begum, S., See Bhattacharya, D. K. Michael D. Lesh, 137:101 Bell, Bradley M., 132:219 Greenhalgh, David, 136:141 Bender, Martin H., 131:103 Bhattacharya, B. N., See Mukherjee, S. Grenfell, B. T., See White, K. A. J. Gyllenberg, Mats, Ilkka Hanski, and Bhattacharya, D. K., and S. Begum, Torsten Lindstrom, 134:119 135:111 Bos, Cees, See Hoofd, Louis Hanski, Ilkka, See Gyllenberg, Mats Brenner, David J., See Sachs, Rainer K. Heidenreich, Wolfgang G., See Sachs, Broom, M., C. Cannings, and G. T. Vick- Rainer K. ers, 136:21 Hendry, R. J., See White, K. A. J. Bull, J. J., See Levin, B. R. Hoffman, Julie, 136:109 Byrne, H. M., and M. A. J. Chaplain, Hoofd, Louis, Cees Bos, and Thom 135:187 See also Pettet, G. J. Oostendorp, 131:23 Hutson, V., See Cantrell, R. S Cannings, C., See Broom, M. Cantrell, R. S., C. Cosner, and V. Hutson, Iliadis, Athanassios, See Claret, Laurent 136:65 Chang, Joseph T., 134:189; 137:51 Jaffar, Sayed Murtaza, See Thomas, Diana Chaplain, M. A. J., See Byrne, H. M. Maria Chappell, Michael J., 133:1 Jeanprétre, N., P. G. H. Clarke, and J.-P. Chen, L., and G. Bastin, 132:35 Gabriel, 135:23 Chung, Shin-Ho, and Rodney A. Kelly, Colleen, and John Rice, 133:85 Kennedy, 133:111 Kennedy, Rodney A., See Chung, Clancy, Damian, 132:185 Shin-Ho Claret, Laurent, and Athanassios Iliadis, Kiffe, Thomas R., See Matis, James H. 133:51 Kimmel, Marek, See Stivers, David N. Clarke, P. G. H., See Jeanprétre, N. Koh, D., J. Wei, and J. Wu, 131:135 Cormier, Phyllis J., See Allen, Linda J. S. Kopp-Schneider, Annette, See Portier, Cosner, C., See Cantrell, R. S. Christopher J. Cruywagen, Gerhard C., 134:85 Kretzschmar, Mirjam, and Martina Cushing, J. M., 137:135 Morris, 133:165 Denes, Josef, and Daniel Krewski, 131:185 Krewski, Daniel, See Denes, Josef Dewanji, Anup, E. Georg Luebeck, and Kuperman, Marcelo N., See Schat, Suresh H. Moolgavkar, 135:55 Carlos L. Dimitrov, Dimiter S., See Spouge, John L. Kuznetsov, Yu. A., and S. Rinaldi, 134:1 MATHEMATICAL BIOSCIENCES 138: 149-150 0025-1066/96/$15.00 © Elsevier Science Inc., 1996 PII S0025-5564(96)00163-0 655 Avenue of the Americas, New York, NY 10010 150 AUTHOR INDEX Lansky, Petr, 132:141 Sabran, Muhamad, See Pollak, Edward Lande, Russell, See Engen, Steinar Sachs, Rainer K., Wolfgang G. Heiden- Lefévre, Claude, and Phillipe Picard, 134:51 reich, and David J. Brenner, 138:131 Lejeune, O., See White, K. A. J. Sankoff, David, See Ferretti, Vincent Lesh, Michael D., See Gibb, William J. Schat, Carlos L., Marcelo N. Kuperman, Levin, B. R., J. J. Bull, and F. M. Stewart, and Horacio S. Wio, 131:205 132: 69 Schrager, Richard I., See Spouge, John L. Li, Guo-Hua, and Cheng-De Qin, 132:97 Schuster, Peter, See Stadler, Peter F. Lindstrom, Torsten, See Gyllenberg, Mats Selgrade, James F., and James H. Loreau, Michel, 134:153 Roberds, 135:1 Luebeck, E. Georg, See Dewanji, Anup Sherman, Claire D., and Christopher J. Portier, 134:35 See also Portier, McElwain, D. L. S., See Pettet, G. J. Christopher J. Mahdi, Smail, 138:23 Shin, K. H., See Wasserman, Richard Matis, James H., and Thomas R. Kiffe, Sibata, Claudio, See Wasserman, Richard 138:31 Singh, K. K., See Mukherjee, S. Mertz, G., and R. A. Myers, 131:157 Smith, J. D. H., 133: 69 Moolgavkar, Suresh H., See Dewanji, Snell, Terry Wayne, See Thomas, Diana Anup Maria Morris, Martina, See Kretzschmar, Mirjam Spouge, John L., 135:217 Richard I. Mukherjee, S., B. N. Bhattacharya, and Schrager, and Dimiter S. Dimitrov, K. K. Singh, 131:1 138:1 Murray, J. D., See White, K. A. J. Stadler, Peter F., and Peter Schuster, Myasnikova, Ekaterina M., Svetlozar T. 131:111 Rachev, and Andrej Yu. Yakovlev, Stewart, F. M., See Levin, B. R. 135:85 Stivers, David N., Marek Kimmel, and Myers, R. A., See Mertz, G. David E. Axelrod, 137:25 Nokes, D. James, See Ferguson, Neil M. Siidi, Janos, 138:45 Norbury, J., See Pettet, G. J. Sulzer, Bernhard, and Alan S. Perelson, 135:147 Oostendorp, Thom, See Hoofd, Louis Sumner, Suzanne, 137:1 Perelson, Alan S., See Sulzer, Bernhard Pettet, G. J., H. M. Byrne, D. L. S. Thomas, Diana Maria, Terry Wayne Snell, McElwain, and J. Norbury, 136:35 and Sayed Murtaza Jaffar, 133:139 Picard, Phillipe, See Lefévre, Claude Polig, Erich, See Yakolov, Andrej Van der Linden, Frank M. J., 133:21 Pollak, Edward, and Muhamad Sabran, Vickers, G. T., See Broom, M. 135:69 Portier, Christopher J., Annette Kopp- Wagner, Mary B., See Gibb, William J. Schneider, and Claire D. Sherman, Wasserman, Richard, Raj Acharya, Claudio 135:129 See also Sherman, Claire D. Sibata, and K. H. Shin, 136:111 Pospisil, Zdenék, 131:173 Webb, Glenn, 132:217 Wei, J., See Koh, D. Qin, Cheng-De, See Li, Guo-Hua White, K. A. J., B. T. Grenfell, R. J. Rachev, Svetlozar T., See Myasnikova, Hendry, O. Lejeune, and J. D. Murray, Ekaterina M. 137:79 Rice, John, See Kelly, Colleen Williams, Byron K., 136:1 Rigas, A. G., 133:197 Wio, Horacio S., See Schat, Carlos L. Rinaldi, S., See Kuznetsov, Yu. A. Wu, J., See Koh, D. Roberds, James H., See Selgrade, James F. Yakolov, Andrej, and Erich Polig, 132:1 Rouderfer, Vladimir, See Becker, Niels G. See also Myasnikova, Ekaterina M. ELSEVIER Subject Index to Volumes 131-138 Acute leukemia and chemotherapy: a Carcinogenesis, calculating tumor inci- modeling viewpoint, 138:79 dence rates in stochastic models of, Adaptive optimization and the harvest of 135:129 biological populations, 136:1 Carcinogenesis, radiation, a diversity of Age-structured models of the transmission responses displayed by a stochastic of the measles virus, 138:101 model allowing for cell growth, 132:1 Agonistic-antagonistic models: Letter to Carcinogenesis, stochastic simulation of a the Editor, 134:113; Reply, 134:117 multistage model of, 134:35 Angiogenesis in soft tissue, wound- Carcinogenesis with stochastic stem cell healing, a model of, 136:35 growth, an exact representation Axons dependent on a single trophic sub- for the generating function for the stance, competitive exclusion be- Moolgavkar-Venzon-Knudson two- tween, 135:23 stage model of, 131:185 Cardiac activity, triggered, modeling: an analysis of the interactions between Bell’s model of delayed maturity, a coun- potassium blockade, rhythm pauses, terintuitive result in, 131:103 and cellular coupling, 137:101 Bionomic equilibrium of two-species sys- Cell and receptor density; effects of equi- tem, 135:111 librium binding of multivalent ligands Bioprocess models, structural identifiabil- to cells, 135:147 ity of the yield coefficients in, when Cell number stochasticity, and dose timing the reaction rates are unknown, in tumor radiotherapy, 138:131 132:35 Cell proliferation, a discrete-time, multi- Blood flow, effect on oxygen extraction type generational inheritance branch- pressures calculated in a model of ing process model of, 137:25 pointlike erythrocyte sources for rat Cellular coupling, interactions between heart, 131:23 potassium blockade, rhythm pauses, BOOK REVIEW: Cushing, J. M., Dy- and; modeling triggered cardiac activ- namic Energy Budgets in Biological ity, 137:101 Systems (S. A. L. M. Koojiman), Chemotherapy, acute leukemia and, 138:79 137:135 Clark model for stability of populations, BOOK REVIEW: Spouge, John L., Infor- an augmented, 131:157 mation Theory and Molecular Biol- Coexistence of multiple food chains in a ogy (Hubert P. Yockey), 135:217 heterogeneous environment: interac- BOOK REVIEW: Webb, Glenn, Optimal tions among community structure, Control of Drug Administration in ecosystem functioning, and nutrient Cancer Chemotherapy (Rory Martin dynamics, 134:153 and K. L. Teo), 132:217 Compartmental models, undetermined, partial identification of: a method Canonical ensemble, competition and, based on positive linear Lyapunov 133:69 functions, 132:111 MATHEMATICAL BIOSCIENCES 138: 151-154 © Elsevier Science Inc., 1996 0025-1066/96/$15.00 655 Avenue of the Americas, New York, NY 10010 PII S0025-5564(96)00165-4 152 SUBJECT INDEX Compartment models, stochastic, with Epidemiological implications of dynamical Prendville growth rates, 138:31 complexity in age-structured models Competing species models, pioneer- of the transmission of the measles climax, Hopf bifurcation in, 137:1 virus, 138:101 Competition and canonical ensemble, Epizootics, environmentally driven, 131:51 133:69 Equilibrium binding of multivalent ligands Competitive coexistence, an exact analyti- to cells: effects of cell and receptor cal solution of a three-component density, 135:147 model for, 131:205 ERRATUM: Lumped-Density Population Competitive exclusion between axons Models of Pioneer-Climax Type and dependent on a single trophic sub- Stability Analysis of Hopf Bifurca- stance: a mathematical analysis, tions [Math. Biosci. 135(1):1], 137:74 135:23 ESS patterns: adding pairs to an ESS, Concurrency in networks, measures of, 136:21 and the spread of infectious disease, Evolution with heterogeneous rates, a re- 133:165 markable nonlinear invariant for, Control problem in a polluted environ- 134:71 ment, 133:139 Evolutionary stable strategies, 136: 21 Evolutionary tree topology reconstruction methods, inconsistency of, when sub- Delayed maturity, a counterintuitive result stitution rates vary across characters, in Bell’s model of, 131:103 134:189 Delayed recruitment model, a sex- Evolutionary trees, full reconstruction of structured, 134:85 Markov models on: identifiability and Dissipativity of an N prey-one predator consistency, 137:51 system, 131:173 Flow cytometry and data analysis: basic Dose timing in tumor radiotherapy: con- concepts and statistics, 136:109 siderations of cell number stochastic- Flux control coefficients, how to derive ity, 138:131 from the rate equations of classical Dynamical complexity in age-structured enzyme kinetics, 138:45 models of the transmission of the Food chain dynamics, remarks on, 134:1 measles virus: epidemiological impli- Food chains, coexistence of multiple, in a cations at high levels of vaccine up- heterogeneous environment, 134:153 take, 138:101 Generating function for the Moolgavkar- Venzon-Knudson two-stage model of Environmentally driven epizootics, carcinogenesis with stochastic stem 131:51 cell growth, an exact representation Enzyme kinetics, classical, how to derive for, 131:185 flux control coefficients from the rate Generational inheritance branching equations of, 138:45 process model of cell proliferation, a Epidemic, carrier-borne, models incor- discrete-time, multi-type, 137:25 porating population mobility, Growth rates, Prendville, stochastic com- 132:185 partment models with, 138:31 Epidemic models, collective, 134:51 Epidemics in a community of households HIV/AIDS, intrinsic rate of increase of: made up of individuals of various epidemiological and evolutionary im- types, immunization levels for pre- plications, 132:69 venting, 312:205 HIV/AIDS, the spread of, among intra- Epidemiological and evolutionary implica- venous drug users in shooting gal- tions of the intrinsic rate of increase leries, effects of heterogeneity on, of HIV/AIDS, 132:69 136:141 SUBJECT INDEX 153 HIV-1 infection kinetics in tissue cultures, N prey-one predator system, remark on 138:1 the dissipativity of, 131:173 Hopf bifurcation in pioneer-climax com- Networks, sparse catalytic, permanence of, peting species models, 137:1 131:111 Hopf bifurcations, lumped-density popula- Neurite growth and neuronal morphogen- tion models of pioneer-climax type esis, a model for, 132:97 and, 134:1 Neuronal morphogenesis, a model for Host-macroparasite dynamics, effect of neurite growth and, 132:97 seasonal host reproduction on, 137:79 Nonparametric density estimation applied to population pharmacokinetics, 133:51 Immunization levels for preventing epi- Nucleotide evolution, modeling: a hetero- demics in a community of households geneous rate analysis, 133:85 made up of individuals of various types, 312:205 Partial selfing, the effective population Infectious disease, measures of concur- size for polyploids reproducing by, rency in networks and the spread of, 135:69 133:165 Partially inbreeding finite populations, on Irradiated cells, queuing models of poten- the theory of. IV. The effective popu- tially lethal damage repair in, 135:85 lation size for polyploids reproducing by partial selfing, 135:69 Lyapunov functions, positive linear, a Pharmacokinetics, a stochastic model for method based on, for partial identifi- circulatory transport in, 132:141 cation of undetermined compartmen- Pharmacokinetics, population, nonpara- tal models, 132:111 | metric density estimation applied to, 133:51 Markov chain model, coupled: characteri- Phyllotaxis, creating: the stack-and-drag zation of membrane channel currents model, 133:21 with multiple conductance sublevels Pointlike erythrocyte sources, model of, as partially coupled elementary pores, the effect of blood flow on oxygen ex- 133:111 traction pressures calculated in, Markov models on evolutionary trees, full 131:23 reconstruction of: identifiability and Polluted environment, a control problem consistency, 137:51 in a, 133:139 Measles and rubella, simultaneous control Population dynamics models generating of, by multidose vaccination sched- the lognormal species abundance dis- ules, 131:81 tribution, 132:169 Measles virus, dynamical complexity in Population dynamics of a species coloniz- age-structured models of the trans- ing an island, spatially explicit models mission of, 138:101 for, 136:65 Membrane channel currents with multiple Population mobility, carrier-borne epi- conductance sublevels, characteriza- demic models incorporating, 132:185 tion as partially coupled elementary Population model, stochastic, convergence pores; coupled Markov chain model, of mean and variance of size for a, 133:111 138:23 Moolgavkar-Venzon-Knudson two-stage Population models, lumped-density, of model of carcinogenesis with stochas- pioneer-climax type and stability tic stem cell growth, generating func- analysis of Hopf bifurcations, 134:1 tion, 131:185 Population size, effective, for polyploids Multivalent ligands, equilibrium binding reproducing by partial selfing, 135:69 to cells: effects of cell and receptor Populations, biological, adaptive optimiza- density, 135:147 tion and the harvest of, 136:1 154 SUBJECT INDEX Predator-prey communities over a patchy Stack-and-drag model for creating phyl- environment, spatially heterogeneous lotaxis, 133:21 discrete waves in, 131:135 Stationary hybrid process involving a time Predator-prey model with optimal sup- series and a point process, estimation pression of reproduction in the prey, of certain parameters of a, 133:197 134:119 Stochastic compartment models with Premalignant foci of arbitrary shape, a bi- Prendville growth rates, 138:31 ologically based model for the analy- Stochastic model for circulatory transport sis of, 135:55 in pharmacokinetics, 132:141 Stochastic population model, convergence Queuing models of potentially lethal dam- of mean and variance of size for a, age repair in irradiated cells, 135:85 138:23 Stochastic simulation of a multistage model of carcinogenesis, 134:35 Radiation carcinogenesis, a diversity of Structural identifiability of models charac- responses displayed by a stochastic terizing saturable binding: compari- model of, allowing for cell growth, son of pseudo-steady-state and non- 132:1 pseudo-steady-state model Reproduction in the prey, a predator-prey formulations, 133:1 model with optimal suppression of, Structural identifiability of the yield coeffi- 134:119 cients in bioprocess models when the reaction rates are unknown, 132:35 Saturable binding, structural identifiability of models characterizing: comparison Time of first birth, distribution of, in pres- of pseudo-steady-state and non- ence of social customs regulating pseudo-steady-state model formula- physical separation and coital fre- tions, 133:1 quency, 131:1 Sex-structured delayed recruitment Topology, evolutionary tree, inconsistency model, 134:85 of reconstruction methods when sub- Social customs regulating physical separa- stitution rates vary across characters, tion and coital frequency, distribution 134:189 of time of first birth in presence of, Tumor incidence rates in stochastic mod- 131:1 els of carcinogenesis, 135:129 SOFTWARE REVIEW: Bell, Bradley M.., Tumor model, in vivo, a patient-specific, MLAB for DOS and MAC (Civilized 136:111 Software, Inc.), 132:219 Tumor radiotherapy, dose timing in, Sparse catalytic networks, permanence of, 138:131 131:111 Tumors, necrotic, growth of, in the pres- Spatially heterogeneous discrete waves in ence and absence of inhibitors, predator-prey communities over a 135:187 patchy environment, 131:135 Two-species system, bionomic equilibrium Species abundance distribution, lognor- of, 135:111 mal, population dynamics models generating, 132:169 Vaccination schedules, multidose, simulta- Stability analysis of Hopf bifurcations, neous control of measles and rubella lumped-density population models of by, 131:81 pioneer-climax type and, 134:1 Stability of populations, an augmented Wound-healing angiogenesis in soft tissue, Clark model for, 131:157 a model of, 136:35