Game Theory and Population Dynamics in Complex Genetical Systems: The Role of Sex in Short Term and in Long Term Evolution

1991 ◽  
pp. 6-28 ◽  
Author(s):  
Ilan Eshel
Keyword(s):  
Game Theory ◽  
Population Dynamics ◽  
Long Term Evolution ◽  
Short Term ◽  
Term Evolution

scholarly journals Growth and business cycle in Argentina. A long-run approach, 1870–2015

2020 ◽  
Vol 28 (84) ◽  
pp. 197-220
Author(s):  
María Dolores Gadea ◽  
Isabel Sanz-Villarroya
Keyword(s):  
Long Term Evolution ◽  
Growth Potential ◽  
Short Term ◽  
Content Type ◽  
Developed Economies ◽  
Term Evolution ◽  
Long Run ◽  
High Volatility ◽  
The Moment

Purpose The purpose of this study is to focus deeply on the short term to explain the relative long-term evolution of the Argentinian economy in the long and the short term. Design/methodology/approach The study of the long-term evolution of the Argentine economy and identifying the moment in which it began to lose ground compared to other developed economies, such as Australia and Canada, constitutes the central axis of the historiography of this country. However, an additional problem presented by the Argentine economy is its high volatility. For this reason, the long term should be influenced by the short term, an issue that requires a more detailed study of the cyclical behavior and a deep analysis of the relationship between the long and the short term. Findings The results obtained point to a cyclical development that influences the long-term evolution and, therefore, explains Argentina’s convergence process with Australia and Canada. Frequent deep busts and short booms characterize the Argentine cycle, offsetting its long-term growth potential. Originality/value Although the long term has been profusely studied in Argentina, the short term has not been analyzed to the same extent, which is surprising given the extreme volatility of this economy (Prebisch, 1950). The studies performed on economic cycles have always been partial, disconnected from the long term and carried out without much technical rigor.

scholarly journals The role of planetary interior in the long-term evolution of atmospheric CO2 on Earth-like exoplanets

2021 ◽  
Author(s):  
M. Oosterloo ◽  
D. Höning ◽  
I. E. E. Kamp ◽  
F. F. S. van der Tak
Keyword(s):  
Long Term Evolution ◽  
Atmospheric Co2 ◽  
Term Evolution

Long-term evolution of the electrical stimulation for cochlear implant adult patients. The role of a progressive adaptation method

2019 ◽  
Vol 140 (2) ◽  
pp. 122-127
Author(s):  
Maria Zinfollino ◽  
Christel Cariddi ◽  
Adriana Ardito ◽  
Mara Casulli ◽  
Paolo Malerba ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Cochlear Implant ◽  
Long Term Evolution ◽  
Adult Patients ◽  
Term Evolution ◽  
Adaptation Method

The role of environmental factors in the long-term evolution of the marine biological pump

2020 ◽  
Vol 13 (12) ◽  
pp. 812-816
Author(s):  
Mojtaba Fakhraee ◽  
Noah J. Planavsky ◽  
Christopher T. Reinhard
Keyword(s):  
Environmental Factors ◽  
Long Term Evolution ◽  
Biological Pump ◽  
Marine Biological ◽  
Term Evolution

scholarly journals Long-term evolution of the acute tubular necrosis (ATN) induced by glycerol: role of myofibroblasts and macrophages

2002 ◽  
Vol 83 (4) ◽  
pp. 165-172 ◽  
Author(s):  
Telma J. Soares ◽  
Roberto S. Costa ◽  
Rildo A. Volpini ◽  
Cleonice G. A. Da Silva ◽  
Terezila M. Coimbra
Keyword(s):  
Acute Tubular Necrosis ◽  
Long Term Evolution ◽  
Tubular Necrosis ◽  
Term Evolution

Long-term Evolution, Short-term Evolution, and Population Genetic Theory

1998 ◽  
Vol 191 (4) ◽  
pp. 391-396 ◽  
Author(s):  
Ilan Eshel ◽  
Marcus W. Feldman ◽  
Aviv Bergman
Keyword(s):  
Population Genetic ◽  
Long Term Evolution ◽  
Short Term ◽  
Genetic Theory ◽  
Term Evolution

scholarly journals An evolutionary maximum principle for density-dependent population dynamics in a fluctuating environment

2009 ◽  
Vol 364 (1523) ◽  
pp. 1511-1518 ◽  
Author(s):  
Russell Lande ◽  
Steinar Engen ◽  
Bernt-Erik Sæther
Keyword(s):  
Growth Rate ◽  
Population Dynamics ◽  
Population Growth ◽  
Density Dependence ◽  
Stationary Distribution ◽  
Population Growth Rate ◽  
Long Term Evolution ◽  
Intrinsic Rate Of Increase ◽  
Term Evolution

The evolution of population dynamics in a stochastic environment is analysed under a general form of density-dependence with genetic variation in r and K , the intrinsic rate of increase and carrying capacity in the average environment, and in σ e 2 , the environmental variance of population growth rate. The continuous-time model assumes a large population size and a stationary distribution of environments with no autocorrelation. For a given population density, N , and genotype frequency, p , the expected selection gradient is always towards an increased population growth rate, and the expected fitness of a genotype is its Malthusian fitness in the average environment minus the covariance of its growth rate with that of the population. Long-term evolution maximizes the expected value of the density-dependence function, averaged over the stationary distribution of N . In the θ -logistic model, where density dependence of population growth is a function of N θ , long-term evolution maximizes E[ N θ ]=[1− σ e 2 /(2 r )] K θ . While σ e 2 is always selected to decrease, r and K are always selected to increase, implying a genetic trade-off among them. By contrast, given the other parameters, θ has an intermediate optimum between 1.781 and 2 corresponding to the limits of high or low stochasticity.

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