出版社:世界图书出版公司
出版日期:2013-1
ISBN:9787510052767
页数:551页
章节摘录
版权页： 插图： (Volatile, Validating and Avoiding), and for the two unstable marriages (Hostile a Hostile-Detached). For heuristic purposes we used the two-slope model of the influen function. We now discuss this figure. The top three graphs represent the influence fu tions for the three regulated marriages. The Validators have an influence function creates an influence toward negativity in a spouse if the partner's behaviour is negat and an influence toward positivity if the partner's behaviour is positive. Volatile a Conflict-Avoider influence functions appear to be, respectively, one half of the valid tors, with volatiles having the right half of the curve with a slope close to zero, and Conflict-Avoiders having the left half with a slope near zero. This observation of ing functions is summarised in the third column, labelled theoretical influence function Now examine the influence functions for the Hostile and the Hostile-Detached couple It looks as if these data would support a mismatch hypothesis. Hostile couples appear have mixed a Validator husband influence function with a Conflict-Avoider wife ence function, and Hostile-Detached couples appear to have mixed a Validator influence function with a Volatile wife influence function. From examining the data, we can propose that validating couples were able to fluence their spouses with both positive or negative behaviour; positive behaviour a positive sloping influence while negative behaviour also had a positive sloping ence. This means that the negative horizontal axis values had a negative influence -the-positive-horizontal axis values had a positive influence. For validators, across ttwhole range of RCISS point values, the slope of the influence function was a constsupwardly sloping straight line. The data might have been generated by the process in validating low risk marriages there is_a uniform slope of the influence function both positive and negative values: Overall negative behaviour has a negative influenewhile positive behaviour has a positive influence in low risk marriages. Here we see a full range of emotional balance is possible in the interaction.However, avoiders at volatile couples were nearly opposite in the shape of their influence functions. Avoide influenced one another only with positivity (the slope was flat in the negative RCIS point ranges), while volatile couples influenced one another primarily with negativi (the slope was flat in the positive RCISS point ranges). The influence function of avoiding couple is nearly the reverse of that of the volatile couple. Mismatch Theory: The Possibility that Unstable Marriages Are the Results of Failed Attempts at Creating a Pure Type The shape of the influence curves leads us to propose that the data on marital stabi ity and instability can be organized by the rather simple hypothesis that Hostile ar Hostile-detached couples are simply failures tO create a stable adaptation to that is either Volatile, Validating, or Avoiding. In other words, the hypothesis is that longitudinal marital stability results are an artifact of the prior inability of the couple accommodate to. one another and have one of the three types of marriage. For exampl in the unstable marriage, a person who is more suited to a Volatile or a Conflict-Avoidir marriage may have married one who wishes a validating marriage. Their influence fun tions are simply mismatched.
内容概要
作者：（美国）莫里（Murray J.D.）
书籍目录
preface to the third edition
preface to the first edition
1. continuous population models for single species
1.1 continuous growth models
1.2 insect outbreak model： spruce budworm
1.3 delay models
1.4 linear analysis of delay population models： periodic solutions
1.5 delay models in physiology： periodic dynamic diseases
1.6 harvesting a single natural population
1.7 population model with age distribution
exercises
2. discrete population models for a single species
2.1 introduction： simple models
2.2 cobwebbing： a graphical procedure of solution
2.3 discrete logistic-type model： chaos
2.4 stability, periodic solutions and bifurcations
2.5 discrete delay models
2.6 fishery management model
.2.7 ecological implications and caveats
2.8 tumour cell growth
exercises
3. models for interacting populations
3.1 predator-prey models： lotka-volterra systems
3.2 complexity and stability
3.3 realistic predator-prey models
3.4 analysis of a predator-prey model with limit cycle periodic behaviour： parameter domains of stability
3.5 competition models： competitive exclusion principle
3.6 mutualism or symbiosis
3.7 general models and cautionary remarks
3.8 threshold phenomena
3.9 discrete growth models for interacting populations
3.10 predator-prey models： detailed analysis
exercises
4. temperature-dependent sex determination （tsd）
4.1 biological introduction and historical asides on the crocodilia.
4.2 nesting assumptions and simple population model
4.3 age-structured population model for crocodilia
4.4 density-dependent age-structured model equations
4.5 stability of the female population in wet marsh region l
4.6 sex ratio and survivorship
4.7 temperature-dependent sex determination （tsd） versus genetic sex determination （gsd）
4.8 related aspects on sex determination
exercise
5. modelling the dynamics of marital interaction： divorce prediction and marriage repair
5.1 psychological background and data： gottman and levenson methodology
5.2 marital typology and modelling motivation
5.3 modelling strategy and the model equations
5.4 steady states and stability
5.5 practical results from the model
5.6 benefits, implications and marriage repair scenarios
6. reaction kinetics
6.1 enzyme kinetics： basic enzyme reaction
6.2 transient time estimates and nondimensionalisation
6.3 michaelis-menten quasi-steady state analysis
6.4 suicide substrate kinetics
6.5 cooperative phenomena
6.6 autocatalysis, activation and inhibition
6.7 multiple steady states, mushrooms and isolas
exercises
7. biological oscillators and switches
7.1 motivation, brief history and background
7.2 feedback control mechanisms
7.3 oscillators and switches with two or more species： general qualitative results
7.4 simple two-species oscillators： parameter domain determination for oscillations
7.5 hodgkin-huxley theory of nerve membranes：fitzhugh-nagumo model
7.6 modelling the control of testosterone secretion and chemical castration
exercises
8. bz oscillating reactions
8.1 belousov reaction and the field-koros-noyes （fkn） model
8.2 linear stability analysis of the fkn model and existence of limit cycle solutions
8.3 nonlocal stability of the fkn model
8.4 relaxation oscillators： approximation for the belousov-zhabotinskii reaction
8.5 analysis of a relaxation model for limit cycle oscillations in the belousov-zhabotinskii reaction
exercises
9. perturbed and coupled oscillators and black holes
9.1 phase resetting in oscillators
9.2 phase resetting curves
9.3 black holes
9.4 black holes in real biological oscillators
9.5 coupled oscillators： motivation and model system
9.6 phase locking of oscillations： synchronisation in fireflies
9.7 singular perturbation analysis： preliminary transformation
9.8 singular perturbation analysis： transformed system
9.9 singular perturbation analysis： two-time expansion
9.10 analysis of the phase shift equation and application to coupled belousov-zhabotinskii reactions
exercises
10. dynamics of infectious diseases
10.1 historical aside on epidemics
10.2 simple epidemic models and practical applications
10.3 modelling venereal diseases
10.4 multi-group model for gonorrhea and its control
10.5 aids： modelling the transmission dynamics of the human immunodeficiency virus （hiv）
10.6 hiv： modelling combination drug therapy
10.7 delay model for hiv infection with drug therapy
10.8 modelling the population dynamics of acquired immunity to parasite infection
10.9 age-dependent epidemic model and threshold criterion
10.10 simple drug use epidemic model and threshold analysis
10.11 bovine tuberculosis infection in badgers and caule
10.12 modelling control strategies for bovine tuberculosis in badgers and cattle
exercises
11. reaction diffusion, chemotaxis, and noniocal mechanisms
11.1 simple random walk and derivation of the diffusion equation
11.2 reaction diffusion equations
11.3 models for animal dispersal
11.4 chemotaxis
11.5 nonlocal effects and long range diffusion
11.6 cell potential and energy approach to diffusion and long range effects
exercises
12. oscillator-generated wave phenomena
12. i belousov-zhabotinskii reaction kinematic waves
12.2 central pattern generator： experimental facts in the swimming of fish
12.3 mathematical model for the central pattern generator
12.4 analysis of the phase coupled model system
exercises
13. biological waves： single-species models
13. l background and the travelling waveform
13.2 fisher-kolmogoroff equation and propagating wave solutions
13.3 asymptotic solution and stability of wavefront solutions of the fisher-kolmogoroff equation
13.4 density-dependent diffusion-reaction diffusion models and some exact solutions
13.5 waves in models with multi-steady state kinetics： spread and control of an insect population
13.6 calcium waves on amphibian eggs： activation waves on medaka eggs
13.7 invasion wavespeeds with dispersive variability
13.8 species invasion and range expansion
exercises
14. use and abuse of fractals
14.1 fractals： basic concepts and biological relevance
14.2 examples of fractals and their generation
14.3 fractal dimension： concepts and methods of calculation
14.4 fractals or space-filling?
appendices
a. phase plane analysis
b. routh-hurwitz conditions, jury conditions, descartes'
rule of signs, and exact solutions of a cubic
b.1 polynomials and conditions
b.2 descartes' rule of signs
b.3 roots of a general cubic polynomial
bibliography
index
编辑推荐
《生物数学(第1卷)(第3版)(英文版)》由世界图书出版公司北京公司出版。