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By these experimental and analytical investigations the favorable seismic behavior can be derived for the studied joint type.
Prediction requires identifying the variables whose behavior is constant over time so that their future behavior can be derived from their present values.
It appears that all classical thermodynamical behavior can be derived from these two simple statements (Penrose 1970).[3] There are a number of philosophical questions one might ask about the the laws of thermodynamics.
The major advantage of the IA is that the evolution of the parameter error covariance matrix K k can be computed and thus the learning curves of the algorithm, i.e., its learning behavior, can be derived.
While the data collected was initially examined only to identify differentially expressed genes and proteins, further biological insights into MR1 behavior can be derived from the same data set through integration with other data types within the SKB, enabled by SKB tools.
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Types of aquifers and their behaviors can be derived from the patterns in the hydrographs.
The described behavior of "rectangles" can be derived from the STM images presented in the previous sections.
The limiting behavior of Aσ,K can be derived using the following known results describing the asymptotic behavior of an important class of quadratic forms: [17, Lemma 2.7] Let x=[X1,⋯,X N ]T be a N×1 vector, where the X n are centered i.i.d.i.d
Furthermore, we show how the coupling behavior of the four subproblems can be derived directly from the sparsity scheme of the stiffness tensor for general anisotropic materials.
The basic formulas describing the behavior of the slender beam can be derived from the basic rules of the theory of elasticity, by neglecting terms that are derived for phenomena that do not contribute to the general understanding of the beam's behavior.
If specific time subintervals are known to be relevant, they can be investigated increasing the number of time points in these subintervals of T. Model outputs (matrix Y) are then collected for each experiment considering the different time points of T, such that model temporal behaviors (i.e. model traces) can be derived.
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practices can be derived
behavior can be Predicted
behavior can be explained
behavior can be forgiven
behavior can be controlled
behavior can be divided
behavior can be interpreted
behavior can be predicted
behavior can be emulated
behavior can be manipulated
behavior can be observed
behavior can be rescued
behavior can be portrayed
behavior can be rewarded
behavior can be tuned
behavior can be trained
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