Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Node coloring

Table 2 Set Membership Established for Atoms in Both Query and Target Structures Based on the Selected Properties (Node Color, Degree, Edge Color, and Order, Except Connectivity), with Reference to Fig. 2. Table 2 Set Membership Established for Atoms in Both Query and Target Structures Based on the Selected Properties (Node Color, Degree, Edge Color, and Order, Except Connectivity), with Reference to Fig. 2.
Fig. 1. The theoretical avalanche distribution given by Eq. 1 (red circles) is shown together with the distribution observed in simulations (blue triangles). Every node has exactly 2 inputs, and all the 16 Boolean function are allowed with uniform probability. Left networks with 20 nodes right networks with 1000 nodes (Color figure online)... Fig. 1. The theoretical avalanche distribution given by Eq. 1 (red circles) is shown together with the distribution observed in simulations (blue triangles). Every node has exactly 2 inputs, and all the 16 Boolean function are allowed with uniform probability. Left networks with 20 nodes right networks with 1000 nodes (Color figure online)...
Figure 1.5 Shapes of the 2p orbitals. Each of the three mutually perpendicular, dumbbell-shaped orbitals has two lobes separated by a node. The two lobes have different algebraic signs in the corresponding wave function, as indicated by the different colors. Figure 1.5 Shapes of the 2p orbitals. Each of the three mutually perpendicular, dumbbell-shaped orbitals has two lobes separated by a node. The two lobes have different algebraic signs in the corresponding wave function, as indicated by the different colors.
This problem can be partly overcome by using several weights simultaneously to create the display. A visually appealing way to do this is to choose the same group of three weights at each node and interpret them as RGB (red, green, blue) values, then to plot on the map a blob of the appropriate color at the position of the node. [Pg.83]

A SOM trained on some trigonometric data. In Figure 3.25a, the SOM is shown with the first three weights interpreted as RGB values. Figure 3.25b shows the same map with the color of each point determined by the difference in weights between one node and those in its immediate neighborhood. [Pg.84]

This additional Eq. (18) was discretized at the same resolution as the flow equations, typical grids comprising 1203 and 1803 nodes. At every time step, the local particle concentration is transported within the resolved flow field. Furthermore, the local flow conditions yield an effective 3-D shear rate that can be used for estimating the local agglomeration rate constant /10. Fig. 10 (from Hollander et al., 2003) presents both instantaneous and time-averaged spatial distributions of /i0 in vessels agitated by two different impellers color versions of these plots can be found in Hollander (2002) and in Hollander et al. (2003). [Pg.200]

Symptoms of the acute phase are acute respiratory distress, breathing difficulty, profuse sweating, turning bluish in color, high temperature, and increased pulse and respiratory rate with chest sounds. If an x-ray is performed, mediastinal widening (swelling of lymph nodes under the breastbone) is very characteristic. Shock and death usually follow within 24 to 36 hours after the onset of respiratory distress. The fatality rate from inhalation anthrax ranges from 65 to 90% even with antibiotic therapy.3... [Pg.95]

Figure 39, Chapter 3. Bifurcation diagrams for the model of the Calvin cycle for selected parameters. All saturation parameters are fixed to specific values, and two parameters are varied. Shown is the number of real parts of eigenvalues larger than zero (color coded), with blank corresponding to the stable region. The stability of the steady state is either lost via a Hopf (HO), or via saddle node (SN) bifurcations, with either two or one eigenvalue crossing the imaginary axis, respectively. Intersections point to complex (quasiperiodic or chaotic) dynamics. See text for details. Figure 39, Chapter 3. Bifurcation diagrams for the model of the Calvin cycle for selected parameters. All saturation parameters are fixed to specific values, and two parameters are varied. Shown is the number of real parts of eigenvalues larger than zero (color coded), with blank corresponding to the stable region. The stability of the steady state is either lost via a Hopf (HO), or via saddle node (SN) bifurcations, with either two or one eigenvalue crossing the imaginary axis, respectively. Intersections point to complex (quasiperiodic or chaotic) dynamics. See text for details.
Figure 28. The eigenvalues of the Jacobian of minimal glycolysis as a function of the influence of ATP on the first reaction V (ATP) (feedback strength). Shown is the largest real part of the eigenvalues (solid line), along with the corresponding imaginary part (dashed line). Different dynamic regimes are separated by vertical dashed lines, for > 0 the state is unstable. Transitions occur via a saddle node (SN) and a Hopf (HO) bifurcation. Parameters are v° 1, TP° 1, ATP0 0.5, At 1, and 6 0.8. See color insert. Figure 28. The eigenvalues of the Jacobian of minimal glycolysis as a function of the influence of ATP on the first reaction V (ATP) (feedback strength). Shown is the largest real part of the eigenvalues (solid line), along with the corresponding imaginary part (dashed line). Different dynamic regimes are separated by vertical dashed lines, for > 0 the state is unstable. Transitions occur via a saddle node (SN) and a Hopf (HO) bifurcation. Parameters are v° 1, TP° 1, ATP0 0.5, At 1, and 6 0.8. See color insert.
Figure 33. The stability of yeast glycolysis A Monte Carlo approach. A Shown in the distribution of the largest positive real part within the spectrum of eigenvalues, depicted from above (contour plot). Darker colors correspond to an increased density of eigenvalues. Instances with > 0 are unstable. B The probability that a random instance of the Jacobian corresponds to an unstable metabolic state as a function of the feedback strength 0, . The loss of stability occurs either via in a saddle node (SN) or via a Hopf (HO) bifurcation. Figure 33. The stability of yeast glycolysis A Monte Carlo approach. A Shown in the distribution of the largest positive real part within the spectrum of eigenvalues, depicted from above (contour plot). Darker colors correspond to an increased density of eigenvalues. Instances with > 0 are unstable. B The probability that a random instance of the Jacobian corresponds to an unstable metabolic state as a function of the feedback strength 0, . The loss of stability occurs either via in a saddle node (SN) or via a Hopf (HO) bifurcation.
Impulses originating at loci outside the sinus node are seen in supraventricular or ventricular extrasystoles, tachycardia, atrial or ventricular flutter, and fibrillation. In these forms of rhythm disorders, antiarrhythmics of the local anesthet-Ltillmann, Color Atlas of Pharmacology... [Pg.134]

In order to eliminate parameters that are correlated to each other, we calculate their Pearson correlation coefficients (25). Linearly uncorrelated parameters have Pearson correlation coefficients close to zero and likely describe different aspects of the phenotype under study (exception for non-linearly correlated parameters which cannot be scored using Pearson s coefficient). We have developed an R template in KNIME to calculate Pearson correlation coefficients between parameters. Redundant parameters that yield Pearson correlation coefficients above 0.4 are eliminated. It is important to visually inspect the structure of the data using scatter matrices. A Scatter Plot and a Scatter Matrix node from KNIME exist that allow color-coding the controls for ease of viewing. [Pg.117]

To improve our model still further, we have to visualize s- and p-orbitals as waves of electron density centered on the nucleus of an atom. Like waves in water, the four orbitals interfere with one another and produce new patterns where they intersect. These new patterns are called hybrid orbitals. The four hybrid orbitals are identical to one another except that they point toward different comers of a tetrahedron (Fig. 3.16). Each orbital has a node close to the nucleus and a small tail on the other side where the s- and p-orbitals do not completely cancel. These four hybrid orbitals are called sp3 hybrids because they are formed from one s-orbital and three p-orbitals. In an orbital-energy diagram, we represent the hybridization as the formation of four orbitals of equal energy intermediate between the energies of the s- and /7-orbitals from which they are constructed (43). The hybrids are colored green to remind us that they are a blend of (blue) s-orbitals and (yellow) p-orbitals. [Pg.262]


See other pages where Node coloring is mentioned: [Pg.490]    [Pg.490]    [Pg.335]    [Pg.2]    [Pg.23]    [Pg.24]    [Pg.25]    [Pg.490]    [Pg.490]    [Pg.335]    [Pg.2]    [Pg.23]    [Pg.24]    [Pg.25]    [Pg.1272]    [Pg.1272]    [Pg.16]    [Pg.150]    [Pg.153]    [Pg.808]    [Pg.809]    [Pg.612]    [Pg.82]    [Pg.83]    [Pg.83]    [Pg.323]    [Pg.364]    [Pg.365]    [Pg.34]    [Pg.220]    [Pg.512]    [Pg.549]    [Pg.100]    [Pg.393]    [Pg.402]    [Pg.422]    [Pg.1279]    [Pg.17]    [Pg.176]    [Pg.177]    [Pg.28]    [Pg.294]   
See also in sourсe #XX -- [ Pg.22 , Pg.23 , Pg.82 , Pg.95 , Pg.98 , Pg.109 , Pg.122 , Pg.153 , Pg.161 , Pg.176 ]




SEARCH



Nodes

© 2024 chempedia.info