Institution
University of Georgia
Education•Athens, 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.
Topics: Population, Gene, Poison control, Context (language use), Genome
Papers published on a yearly basis
Papers
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Rob Knight | 201 | 1061 | 253207 |
Feng Zhang | 172 | 1278 | 181865 |
Zhenan Bao | 169 | 865 | 106571 |
Carl W. Cotman | 165 | 809 | 105323 |
Yoshio Bando | 147 | 1234 | 80883 |
Mark Raymond Adams | 147 | 1187 | 135038 |
Han Zhang | 130 | 970 | 58863 |
Dmitri Golberg | 129 | 1024 | 61788 |
Godfrey D. Pearlson | 128 | 740 | 58845 |
Douglas E. Soltis | 127 | 612 | 67161 |
Richard A. Dixon | 126 | 603 | 71424 |
Ajit Varki | 124 | 542 | 58772 |
Keith A. Johnson | 120 | 798 | 51034 |
Gustavo E. Scuseria | 120 | 658 | 95195 |
Julian I. Schroeder | 120 | 315 | 50323 |