Mathematical Biosciences 1992: Vol 108 Index

7 Pages·1992·2 MB·English

Author Index to Volumes 108-112 339
Adler, Frederick R., 111:89 Fu, Yun-Xin, and Wen-Hsiung Li, 108:203;
Agur, Zvia, See Cojocaru, Lutzy 109:201
Alvarado, Francisco, See Vasseur, Monique
Arditi, Roger, and Bernard Dacorogna, Godfrey, Keith R., See Chappell,
110:253 Michael J.
Goldstein, Byron, See Wofsy, Carla
Balchen, Jens Glad, See Olsen, Odd Arild Gomulkiewicz, Richard, 110:133
Ball, Frank G., and John A. Rice, 112:187 Greensite, Fred, 111:131
Baltzis, Basil, See Kung, Cheng-Ming Gulrajani, Ramesh M., See lakovidis, Ilias
Barakat, Richard, See Spencer, Hamish G. Gupta, S. C., O. P. Srivastava, and
Barr, Lloyd, See Lazalde, Carlos A. Mahendra Singh, 111:159
Becker, Nikolaus, and Werner Rittgen,
108:57 Hahnfeldt, Philip J., See Sachs, Rainer K.
Bell, Jonathan, and Mark Holmes, 110:139 Hallam, Thomas G., See Silva, Jacques
Ben-Haim, Shlomo, See Fruchter, Gila A. L.
Binding, Paul, See Herzog, Walter Herzog, Walter, and Paul Binding, 111:217
Bischi, Gain Italo, 109:151 Hlatky, Lynn R., See Sachs, Rainer K.
Bobylev, Alexander V., See Dolgosheina, Holmes, Mark, See Bell, Jonathan
Elena B. Holmes, Raquelle, See Mickens, Ronald E.
Brand, Richard J., See Kenley, Susan S. Hsieh, J. J., 108:299 (erratum)
Hutson, Vivian, and Klaus Schmitt, 111:1
Chaplain, M. A. J., and B. D. Sleeman,
111:169 lakovidis, Ilias, and Ramesh M. Gulrajani,
Chappell, Michael J., and Keith R. God- 112:55
frey, 108:241
Chen, Pei-Li, See Sachs, Rainer K. Kallianpur, Gopinath, 112:207
Chaing, Chin Long, See Kenley, Susan S. Kaplan, Edward H., 108:141; 110:131 (note)
Cojocaru, Lutzy, and Zvia Agur, 109:85 Karulin, Alex Yu., See Dolgosheina,
Cressman, R., 108:179 Elena, B.
Kendal, Wayne S., 108:81
Czihak, Gerhard, and Johann Linhart,
Kenley, Susan S., Chin Long Chiang, and
110:175
Richard J. Brand, 111:249
Dacorogna, Bernard, See Arditi, Roger Kevrekidis, I. G., See Pavlou, S.
Day, William H. E., and F. R. McMorris, Kot, Mark, See Neubert, Michael G.
111:231 Kubota, K., and E. H. Twizell, 108:157
Distefano, Joseph J., III, See Feng, Dagan Kung, Cheng-Ming, and Basil Baltzis,
Doi, Shinji, See Sato, Shunsuke 111:295
Dolgosheina, Elena B., Alex Yu. Karulin,
and Alexander V. Bobylev, 109:1 Lam, Chan F., See Torsella, Joni A.
Duraiswamy, S., See Mehata, K. M. Lange, Kenneth, and Francisco J. Oyarzun,
111:261
Engen, Steinar, 108:279 Lauffenburger, Douglas A., See Ford,
Roseanne M.
Feng, Dagan, and Joseph J. Distefano III, Lazalde, Carlos A., and Lloyd Barr, 112:1,
110:27 31
Fisher, M. E., See Martin, R. B. Le Cam, L., 112:261
Ford, Roseanne M., and Douglas A. Levine, Michael W., 112:225
Lauffenburger, 109:127 Li, Jia, 110:17
Frangne, Regine, See Vasseur, Monique Li, Wen-Hsiung, See Fu, Yun-Xin
Freedman, H. I., and Shigui Ruan, 111:73 Linhart, Johann, See Czihak, Gerhard
Fruchter, Gila, and Shlomo Ben-Haim, Lundstrom, Ron, Simon Tavaré, and R. H.
110:103 Ward, 112:319
340 AUTHOR INDEX
McGilchrist, Clyde A., See Zhaorang, Jiao Silva, Jacques A. L., and Thomas G.
McMorris, F. R., See Day, William, H. E. Hallam, 110:67
Marschner, Ian C., 109:39 Singh, Mahendra, See Gupta, S. C.
Martin, R. B., M. E. Fisher, R. F. Minchin, Sleeman, B. D., See Chaplain, M. A. J.
and K. L. Teo, 110:201 Spencer, Hamish G., and Richard Barakat,
Matawie, Kenan M., See Zhaorong, Jiao 108:127
Matsuda, Hiroyuki, See Takeuchi, Srivastava, O. P., See Gupta, S. C.
Yasuhiro Stefanou, Spiro E., 110:137
May, Robert M., See Watts, Charlotte H. Swan, George W., 108:75
Mehata, K. M., and S. Duraiswamy, 109:177
Melle, Guy van, See Vasseur, Monique Takada, Takenori, and Hisao Nakajima,
Mickens, Ronald E., and Holmes, Raquelle, 112:155
111:155
Takeuchi, Yasuhiro, Yorimasa Oshime, and
Minchin, R. F., See Martin, R. B. Hiroyuki Matsuda, 108:105
Montardy-Pausader, J., 108:219 Tavaré, Simon, See Lundstrom, Ron
Teo, K. L., See Martin, R. B.
Nakajima, Hisao, See Takada, Takenori
Thieme, Horst R., 111:99
Nanthakumar, A., See Razzaghi, Mehdi
Torsella, Joni A., Kenneth M. Pruitt, and
Neubert, Michael G., and Mark Kot, 110:45
Chan F. Lam, 110:191
Tsuji, Leonard J. S., 109:11
Olsen, Odd Arild, and Jens Glad Balchen,
Turyn, L., 110:125 (note)
112:81
Tuzinkevich, A. V., 109:99
Oshime, Yorimasa, See Takeuchi, Ya-
Twizell, E. H., See Kubota, K.
suhiro
Oyarzun, Francisco J., See Lange, Kenneth
Ulanowicz, Robert E., and Wilfried F.
Wolff, 112:185 (note)
Pandey, A., See Yadava, R. C.
Pahl-Wostl, C., 112:177 (note)
Vasseur, Monique, Guy van Melle, Regine
Pavlou, S., and I. G. Kevrekidis, 108:1
Frangne, and Francisco Alvarado, 110:1
Pruitt, Kenneth M., See Torsella, Joni A.
Voit, Eberhard O., 109:19
Razzaghi, Mehdi, and A. Nanthakumar,
109:69 Ward, R. H., See Lundstrom, Ron
Watts, Charlotte H., and Robert M. May,
Rice, John A., See Ball, Frank G.
Rittgen, Werner, See Becker, Nikolaus 108:89
Ruan, Shigui, See Freedman, H. I. Wofsy, Carla, and Byron Goldstein, 112:115
Wolff, Wilfried F., See Ulanowicz,
Sachs, Rainer K., Pei-Li Chen, Philip J. Robert E.
Hahnfeldt, and Lynn R. Hlatky, 112:271
Sankoff, David, 111:279 Yadava, R. C., A. Pandey, and N. C.
Sato, Shunsuke, and Shinji Doi, 112:243 Saxena, 110:181
Saxena, N. C., See Yadava, R. C. Yang, Grace L., 112:305
Schmitt, Klaus, See Hutson, Vivian
Sharan, Maithili, and S. Selvakumar, Zhaorang, Jiao, Kenan M. Matawie, and
108:253 Clyde A. McGilchrist, 110:119 (note)
Reee oeae,
Subject Index to Volumes 108-112 341
Age structure, continuous, maximum sus- Central core model of renal medulla, prop-
tainable yield of populations with, erties of the solutions to certain equa-
110:253 tions are arising in, 111:155
Agglutination process, a kinetic model of, Chaos
109:1 bifurcations and, in a time-discrete inte-
Aggregation, possible effects on quantita- gral model of population dynamics,
tive interpretation of flow patterns in 109:99
ecological networks, 112:177
propagation of, stochastic differential
Anemia phyllitidis (L.) Sw, computer simu-
equation models for spatially dis-
lation of bidimensional growth of the
tributed neurons and, 112:207
gametophyte of, 108:219
Chemical kinetics, effects on oxygen deliv-
Antagonistic muscular activity, predictions
ery to tissue, 108:253
of, using nonlinear optimization, 217
Chemostat, periodically operated, micro-
Averaging, effects on basic reproduction
bial predation in, 108:1
ratio, 111:89
Chemotherapy
low intensity combination, for tumors
Bacterial chemotaxis, a simple expression
containing drug-resistant cells, 110:221
for quantifying, using capillary assay
optimal control of tumor size to maxi-
data, 109:127
mize survival time when cells are resis-
Batch reactor, nonlinear, see under Model
Bifurcations and chaos in a time-discrete tant to, 110:201
integral model of population dynam- Compensation and stability in nonlinear
ics, 109:99 matrix models, 110:67
Biological systems, permanence and dy- Competitors, pure and simple microbial,
namics of, 111:1 growth in a moving distributed region,
Biological transduction phenomena, a 111:295
method for the analysis of, 110:191 Computer modeling of pole formation in
Birth intervals, closed and open, estimation cell division, 110:175
of parity progression from truncated Computer simulation of bidimensional
distribution of, 110:181 growth of the gametophyte of Anemia
BOOK REVIEW: Gomulkiewicz, Richard, phyllitidis (L.) Sw, 108:217
Statistical Genetics (Prem Narain), Consensus sequences, interpreting, based
110:133 on plurality rule, 111:231
BOOK REVIEW: Stefanou, Spiro E., Control of tumor size, See Tumor size
Mathematical Bioeconomics: The Op-
timal Management of Renewable Re-
Decomposition, efficient optimal, of a se-
sources (Colin W. Clark), 110:137
quence into disjoint regions, each
Branching process with emigration—a ge-
matched to some template in an in-
netic model, 111:159
ventory, 111:279
BVP neuron model, response characteris-
Diffusion of an inhibitor in a spherical
tics of, to periodic pulse inputs, 112:243
tumor, 108:75
Discordances, variance components for,
Cancer mortality data, fitting with cumula-
110:119
tive damage models, 108:57
Diseases in growing populations, poten-
Capillary assay data, a simple expression
for quantifying bacterial chemotaxis tially fatal, epidemic and demographic
using, 109:127 interaction in the spread of, 111:99
Cardiovascular systems, dynamic properties DNA damage caused by ionizing radiation,
112:271
of, 110:103
Cell division, computer modeling of pole Droop equations, the attractiveness of,
formation in, 110:175 111:261
Cell survival probability under ionizing ra- Drug absorption, percutaneous, nonlinear
diation, 112:305 numerical model of, 108:157
342 SUBJECT INDEX
Drugs, cell-cycle-phase-specific, a theoreti- Human mitochondrial genome, modeling
cal analysis of interval drug dosing for, the evolution of, 112:319
109:85
Dynamic properties of cardiovascular sys- Immigration-birth-death-emigration pro-
tems, 110:103 cess, parity-dependent, 109:177
Dynamics of biological systems, perma- Inhibitor, diffusion of, in a spherical tumor,
nence and, 111:1 108:75
Interval drug dosing for cell-cycle-phase-
Ecological networks, flow patterns in, specific drugs, a theoretical analysis
112:177 of, 109:85
Electrocardiography, a new method for Intestinal brush border sucrase, application
regularization of the inverse problem of four-proton-families model for pH-
of, 111:131 dependent enzyme activation to, 110:1
Epidemic, growth of, effect of preferential Inverse epicardial potential solution, 112:55
mixing on, 109:39
Ion channels, stochastic models for, 112:187
Evolutionarily stable sets in symmetric ex-
Ionizing radiation
tensive two-person games, 108:179
cell survival probability under, 112:305
Experiment design algorithms, decomposi-
DNA damage caused by, 112:271
tion-based qualitative, for a class of
compartmental models, 110:27
Kinetic model of the agglutination process,
109:1
Firing rate of retinal ganglion cells, model-
ing the variability of, 112:225
Lefkovitch matrix model, density-depen-
Fish physiology, structured modeling of,
dent, analysis of life history evolution
112:81
in terms of, 112:155
Flow patterns in ecological networks, quan-
Lehmann alternatives, on using with non-
titative interpretation of, 112:177
responders, 109:69
Four-state models and regulation of con-
Lesion induction and repair in yeast,
traction of smooth muscle
stochastic models of, 112:261
physical considerations, stability, and so-
Life history evolution, an analysis in terms
lutions, 112:1
of Lefkovitch matrix model, 112:155
properties of solutions and identifica-
tion, 112:31 Life tables, construction of expanded con-
tinuous (erratum), 108:299
Linear invariants in phylogenetic inference Ae9ia trSm t t
Growth of the gametophyte of Anemia
phyllitidis (L.) Sw, construction of, 109:201
bidimensional, computer simulation of, necessary and sufficient conditions for
108:219 the existence of, 108:203
Growth-limited cultures, capillary assay
data and analysis of enhanced chemo- Mathematical model for the growth and
tactic responses from, 109:127 classification of a solid tumor: a new
Growth of pure and simple microbial com- approach via nonlinear elasticity the-
petitors in a moving distributed ory using strain-energy functions,
medium, 111:295 111:169
Measure of spacing in one dimension,
HIV/AIDS 109:11
influence of concurrent partnerships on Metastatic progression, role of multiple so-
dynamics of, 108:89 matic point mutations in, 108:81
asymptotic worst-case mixing in simple Microbial competitors, pure and simple,
demographic models of, 108:141 growth in a moving distributed
Hopf bifurcation in three-species food medium, 111:295
chain models with group defense, Microbial predation in a periodically oper-
111:73 ated chemostat: global study of inter-
SUBJECT INDEX 343
action between natural and externally three-competitor, persistence and peri-
imposed frequencies, 108:1 odic orbits in, 108:105
Mixing, preferential, effect on growth of an three-species food chain, with group de-
epidemic, 109:39 fense, Hopf bifurcation in, 111:73
Modeling time-discrete integral, of population dy-
the evolution of the human mitochon- namics, bifurcations and chaos in,
drial genome, 112:319 109:99
structured, of fish physiology, 112:81 worst-case endemic mixing, R, bounds
the variability of firing rate of retinal for, 110:131
ganglion cells, 112:225 Mortality data, cancer, fitting with cumula-
Models tive damage models, 108:57
of the agglutination process, kinetic, Mutations, multiple somatic point, role in
109:1 metastatic progression, 108:81
compartmental, decomposition-based
qualitative experiment design algo- Nature is not uniform, 112:185
rithms for a class of, 110:27 Neurons, spatially distributed, stochastic
computer, See Computer modeling differential equation models for,
continuous diffusion, random genetic 112:207
drift and selection in a triallelic locus, see also BVP neuron model
108:127 Nonlinear elasticity theory, a new approach
cumulative damage, fitting cancer mor- to modeling growth and classification
tality data with, 108:57 of a solid tumor via 111:169
of dynamics of receptor potential in a Nonlinear optimization, predictions of an-
mechanoreceptor, 110:139 tagonistic muscular activity using,
four-proton families, for pH-dependent 111:217
enzyme activation: application to brush Nonresponders, on using Lehmann alter-
border sucrase, 110:1 natives with, 109:69
four-state, See Four-state models Numerical model, nonlinear, of percuta-
genetic, of branching process with emi- neous drug absorption, 108:157
gration, 111:159
mathematical, See Mathematical Optimization, linearly constrained, improv-
model... ing Tikhonov regularization with,
nonlinear batch reactor, structural iden- 112:55
tifiability of the parameters of, 108:241 Oxygen delivery to tissue, effects of chemi-
nonlinear matrix, compensation and sta- cal kinetics on, 108:253
bility in, 110:67
numerical, See Numerical models Parity-dependent immigration-birth-
nutrient cycling, effects of time lags on death-emigration process, 109:177
transient characteristics of, 109:151 Parity progression ratios, estimation of,
population, in a periodically fluctuating from truncated distribution of closed
environment, periodic solutions of, and open birth intervals, 110:181
110:17 Periodic pulse inputs, response characteris-
predator-prey, See Predator—prey tics of BVP neuron model to, 112:243
models Periodic solutions of population models in
of renal medulla, See Central core model periodically fluctuating environment,
of renal medulla 110:17
simple demographic, of HIV/AIDS, Permanence and the dynamics of biological
asymptotic worst-case mixing in, systems, 111:1
108:141 Persistence and periodic orbits of three-
sexual mixing: a comparison of analogue competitor model with refuges,
deterministic and stochastic models, 108:105
108:279 pH-dependent enzyme activation, a four-
stochastic, See Stochastic models proton-families model for, application
SUBJECT INDEX
to intestinal brush border sucrase, for ion channels: introduction and bibli-
110:1 ography, 112:187
Phylogenetic inference, necessary and suf- of lesion induction and repair in yeast,
ficient conditions for the existence of 112:261
linear invariants in, 108:203 two-state recurrent, with time-dependent
Plurality rule, interpreting consensus se- transition rates, 111:249
quences based on, 111:231 Structural identifiability of the parameters
Population dynamics, time-discrete integral of a nonlinear batch reactor model,
model of, bifurcations and chaos in, 108:241
109:99 Subcritical collapse of predator popula-
Populations, growing, epidemic and demo- tions in discrete-time predator-prey
graphic interaction in the spread of models, 110:45
potentially fatal diseases in, 111:99 Survival time
Predator—prey models, discrete-time, the host, for tumors containing drug-
subcritical collapse of predator popu-
resistant cells, low-intensity combina-
lations in, 110:45 tion chemotherapy maximizes, 110:221
Predator—prey populations, persistence in
optimal control of tumor size used to
models of three interacting, remarks maximize, when cells are resistant to
on, 110:125 chemotherapy, 110:201
Predictions of antagonistic muscular activ-
Sustainable yield, maximum, of populations
ity using nonlinear optimization,
with continuous age structure, 110:253
111:217
Symmetries of S-systems, 109:19
Radiation, ionizing, See Ionizing radiation
Tikhonov regularization, improving with
Random and genetic drift and selection in
linearly constrained optimization,
a triallelic locus: a continuous diffu-
112:55
sion model, 108:127
Time-dependent transition rates, a two-
Receptor potential in a mechanoreceptor,
state recurrent stochastic model with,
model of the dynamics of, 110:139
111:249
Reproduction ratio, basic, effects of aver-
Time lags, effects on transient characteris-
aging on, 111:89
tics of a nutrient cycling model,
Renal medulla, See Central core model of
109:151
renal medulla
Tumor, spherical, diffusion of an inhibitor
Retinal ganglion cells, modeling the vari-
in, 108:75
ability of firing rate of, 112:225
Tumors containing drug-resistant cells,
Role of multiple somatic point mutations
low-intensity combination chemother-
in metastatic progression, 108:81
apy maximizes host survival time for,
110:221
Scatchard plots, interpretation of, for ag-
Tumor size, optimal control of, used to
gregating receptor systems, 112:115
maximize survival time when cells are
Sexual mixing models: a comparison of
resistant to chemotherapy, 110:201
analogue deterministic and stochastic
Two-person games, symmetric extensive,
models, 108:279
evolutionarily stable sets in, 108:179
Smooth muscle, four-state models and reg-
ulation and contraction of, 112:1, 31 Two-state recurrent stochastic model with
Spacing in one dimension, a measure of, time-dependent transition rates,
109:11 111:249
S-systems, symmetries of, 109:19
Stability in nonlinear matrix models, com- Variance components for discordances,
pensation and, 110:67 110:119
Stochastic models
differential equation, for spatially dis- Yeast, lesion induction and repair in,
tributed neurons, 112:207 stochastic models of, 112:261