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Institution

University of Georgia

EducationAthens, Georgia, United States
About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Gene. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors studied the effects at a temperature-driven first-order transition by analyzing various moments of the energy distribution and the rounding of the singularities and the shifts in the location of the specific heat maximum.
Abstract: We study the finite-size effects at a temperature-driven first-order transition by analyzing various moments of the energy distribution. The distribution function for the energy is approximated by the superposition of two weighted Gaussian functions yielding quantitative estimates for various quantities and scaling form for the specific heat. The rounding of the singularities and the shifts in the location of the specific-heat maximum are analyzed and the characteristic features of a first-order transition are identified. The predictions are tested on the ten-state Potts model in two dimensions by carrying out extensive Monte Carlo calculations. The results are found to be in good agreement with theory. Comparison is made with the second-order transitions in the two- and three-state Potts models.

529 citations

Journal ArticleDOI
TL;DR: Much still needs to be done to gain better understanding of in vivo biological function, 3-D structure, how this group of enzymes evolved to utilize many different substrates, and the mechanism of reactions, as well as understanding the conformational changes.

529 citations

Journal ArticleDOI
TL;DR: Probability models of branching processes and computer simulations of these models are used to examine stochastic survivorship of female lineages under a variety of demographic scenarios and results are discussed in the context of recent empirical observations of low mitochondrial DNA (mtDNA) sequence heterogeneity in humans and expected distributions of asexually transmitted traits among sexually reproducing species.
Abstract: Probability models of branching processes and computer simulations of these models are used to examine stochastic survivorship of female lineages under a variety of demographic scenarios. A parameter II, defined as the probability of survival of two or more independent lineages over G generations, is monitored as a function of founding size of a population, population size at carrying capacity, and the frequency distributions of surviving progeny. Stochastic lineage extinction can be very rapid under certain biologically plausible demographic conditions. For stable-sized populations initiated by n females and/or regulated about carrying capacity k = n, it is highly probable that within about 4n generations all descendants will trace their ancestries to a single founder female. For a given mean family size, increased variance decreases lineage survivorship. In expanding populations, however, lineage extinction is dramatically slowed, and the final k value is a far more important determinant of II than is the size of the population at founding. The results are discussed in the context of recent empirical observations of low mitochondrial DNA (mtDNA) sequence heterogeneity in humans and expected distributions of asexually transmitted traits among sexually reproducing species.

526 citations

Journal ArticleDOI
TL;DR: The concept of dominance is used in the behavioral and biological sciences to describe outcomes in a variety of competitive interactions as mentioned in this paper, which can be used to characterize such relationships as dominance, however, they must be distinguished from other kinds of interaction patterns for which the term tends to be used, as well as from factors such as territoriality and "trained" winners and losers.
Abstract: The concept of dominance is used in the behavioral and biological sciences to describe outcomes in a variety of competitive interactions. In some taxa, a history of agonistic encounters among individuals modifies the course of future agonistic encounters such that the existence of a certain type of relationship can be inferred. If one is to characterize such relationships as dominance, however, then they must be distinguished from other kinds of interaction patterns for which the term tends to be used, as well as from factors such as territoriality and "trained" winners and losers, which may also influence the expression of agonistic behavior. Operational definitions based on causal, functional, evolutionary, and ontogenetic considerations have been proposed. Reliability and validity problems have been discussed, but the dominance concept has proved useful despite methodological difficulties. The confusion of dominance relationships (which involve two or more individuals) with dominance ranks (which are assigned to a single individual) has obscured the possible evolutionary basis of dominance relationships. If benefits accrue to dominant members of pairs, then those attributes which allow an animal to establish dominance can be selected. Dominance per se and dominance ranks, on the other hand, cannot be genetically transmitted since they constitute relationships with other individuals rather than absolute attributes. Dominance rankings in particular may be useful for describing behavioral patterns within a group, but they may reflect our own ability to count rather than any important variable in social organization.

526 citations


Authors

Showing all 42268 results

NameH-indexPapersCitations
Rob Knight2011061253207
Feng Zhang1721278181865
Zhenan Bao169865106571
Carl W. Cotman165809105323
Yoshio Bando147123480883
Mark Raymond Adams1471187135038
Han Zhang13097058863
Dmitri Golberg129102461788
Godfrey D. Pearlson12874058845
Douglas E. Soltis12761267161
Richard A. Dixon12660371424
Ajit Varki12454258772
Keith A. Johnson12079851034
Gustavo E. Scuseria12065895195
Julian I. Schroeder12031550323
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023125
2022542
20214,670
20204,504
20194,098
20183,994