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Graphical comparison of the dynamics of macroscale and microscale simulations of Figures 1 and 2, respectively. (A) The black curve plots the exact solution to the macroscale model of Figure 1 with β = 1 / 5 {\displaystyle \beta =1/5} per year, δ = 1 / 10 {\displaystyle \delta =1/10} per year, and N 0 = 1000 {\displaystyle N_{0}=1000 ...
The length of the line on the linear scale is equal to the distance represented on the earth multiplied by the map or chart's scale. In most projections, scale varies with latitude, so on small scale maps, covering large areas and a wide range of latitudes, the linear scale must show the scale for the range of latitudes covered by the map. One ...
A scale-free network is a network whose degree distribution follows a power law, at least asymptotically.That is, the fraction P(k) of nodes in the network having k connections to other nodes goes for large values of k as
Skills development in biological illustration can involve two-dimensional art, animation, graphic design, and sculpture (such as necessary in custom prosthetics). It is possible to work in biological illustration without a specific degree, but a degree will significantly enhance an illustrator's employment opportunities.
The green box (central) may represent an evolutionary grade (paraphyletic), a group united by conservative anatomical and physiological traits rather than phylogeny. The flanking red and blue boxes are clades (i.e., complete monophyletic subtrees). A grade is a taxon united by a level of morphological or physiological complexity.
Probability plot : The probability plot is a graphical technique for assessing whether or not a data set follows a given distribution such as the normal or Weibull, and for visually estimating the location and scale parameters of the chosen distribution. The data are plotted against a theoretical distribution in such a way that the points ...
The Systems Biology Graphical Notation (SBGN) is a standard graphical representation intended to foster the efficient storage, exchange and reuse of information about signaling pathways, metabolic networks, and gene regulatory networks amongst communities of biochemists, biologists, and theoreticians.
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. Graphical models are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.
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