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Node stability

To see how and under what conditions stability is enhanced or diminished, we need to consider the symmetry of the orbital (9-32), Flectrons in the antisymmetric orbital r r have a 7ero probability of occurring at the node in u where U] = rj. Electron mutual avoidance of the node due to spin correlation reduces the total energy of the system because it reduces electron repulsion energy due to charge... [Pg.273]

If the transition state resembles the intermediate n-complex, the structure involved is a substituted cyclohexadienyl cation. The electrophile has localized one pair of electrons to form the new a bond. The Hiickel orbitals are those shown for the pentadienyl system in Fig. 10.1. A substituent can stabilize the cation by electron donation. The LUMO is 1/13. This orbital has its highest coefficients at carbons 1, 3, and 5 of the pentadienyl system. These are the positions which are ortho and para to the position occupied by the electrophile. Electron-donor substituents at the 2- and 4-positions will stabilize the system much less because of the nodes at these carbons in the LUMO. [Pg.558]

Since the elimination method reciuires several operations at one node, the total number of which is independent of the grid step, the algorithm just established will be economical if one succeeds in showing that scheme (9)-(14) is absolutely stable. The following sections place a special emphasis on stability and convergence of the scheme concerned. [Pg.550]

Immunopathology Hematology (blood cell count), weight of spleen, thymus and liver, histology of spleen, thymus, and lymph nodes Histopathology, cell viability, lysosomal membrane stability... [Pg.378]

Dearman, R.J. et al., Temporal stability of local lymph node assay responses to hexyl cinnamic aldehyde, J. Appl. Toxicol., 18, 281, 1998. [Pg.602]

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 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.
As with c-erbB, overexpression of the suppressor p53 gene product has been found in different cancers (H3). Initially, it was believed that the detection of p53 protein in tumors meant the presence of a mutant gene product. However, we now know that normal p53 protein can be overexpressed in response to certain stimuli and stabilized by interaction with both cellular and viral proteins (H3). Irrespective of the mechanism giving rise to elevated protein levels, overexpression of p53 has been shown to be a prognostic marker in both breast and colorectal cancers (D8). In some studies, the presence of high levels of p53 has been shown to be a prognostic marker in axillary node-negative breast cancer patients (H3). [Pg.156]

II Propranolol Metoprolol Nadolol Acebutolol Atenolol Pindolol Timolol Sotalol EsmoloF 3-Adrenoceptor antagonist, cardiac membrane stabilization, indirect effect on sinoatrial node to decrease rate of spontaneous diastolic depolarization. Indirect effect on A-V node to decrease conduction velocity and prolong ERR... [Pg.170]


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See also in sourсe #XX -- [ Pg.36 ]




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