Table 1 shows the relationship between the configuration modes and component status for two CTs and one ST.
The relationship between the configuration modes and component commitments is formulated as, for example: CM_{1} = (1 - v_{1} )(1 - v_{2} )(1 - v_{3} ) (3)which means only when v1, v2 and v3 are 0, CM1 is active.
Since the motion of residues 38-53 are prominent in all three principal component modes and these principal component vectors are orthogonal, these residues must have complex motional behavior.
Consequently, potential combinations of the converters were found for two components, gamma rays and thermal neutrons, for the standard thermal neutron mode and three components of gamma rays, epithermal neutrons, and thermal or fast neutrons, for the standard mixed or epithermal neutron modes, respectively.
We determined the number of components of the Tucker3 model by rank reduction on the unfolded tensor along each mode, and these components explain over 90% of the variance of the data.
Thus it is possible that not only the sampling time, but also the mode and individual components of challenge agent may influence the dynamics of cytokine regulation.
To test the mode and specific components that lead to phenotypic diversity in this group, we performed a Bayesian phylogenetic analysis of combined nuclear and plastid DNA sequences and modeled the evolution of quantitative traits related to flower shape and size and to climatic preferences.
Effects of higher modes and higher harmonic components of the response are discussed in detail.
To do this, the interaction Hamiltonian between the trapped modes and the nonlinear components must be found.
Each part is partitioned into mode I and mode II components, and finally each component is the product of a reference spatial field and an intensity factor.
