Mobility function

Combining hindered diffusion theory with the diffusion/convection problem in the model pore, Trinh et al. [399] showed how the effective transport coefficients depend upon the ratio of the solute to pore size. Figure 28 shows that as the ratio of solute to pore size approaches unity, the effective mobility function becomes very steep, thus indicating that the resolution in the separation will be enhanced for molecules with size close to the size of the pore. Similar results were found for the effective dispersion, and the implications for the separation of various sizes of molecules were discussed by Trinh et al. [399]. 

Lee, H.C., Galione, A. und Walseth, T.F. Cyclic ADP-ribose metabolism and calcium mobilizing function (1994) Vitam. Horm. 48,199-257... 

Frame translation also served a specific mobilizing function that encouraged cross-disciplinary interaction in laboratory and regulatory practice. The same essay implores readers to break the shackles of insular disciplinary cultures ... 

Nevertheless, the construction of the Auto-Reference is describable and, as such, is recognizable, decidable just as a construction sui generis. It leads, necessarily, to the requirement of the II. Perpetuum Mobile functionality when the requirements (5) and (6) are sustained. 

In the Auto-Reference case, the whole combined machine OO is a system in the equilibrium status. For this status we can introduce the term (quasi)stationary status in which the (infinitesimal) part of heat is circulating. Any round of this circulation is lasting the time interval At infinite, At— °°, for not ideal model, or, finite, A t, when the ideal model is used then the part of heat cannot be the infinitesimal. With the exception of the II. Perpetuum Mobile functionality of this combined machine, which is not possible, see (5) and (6), only the opening of the system and an external activity, a certain step-aside between the cycles O and O, moves it away (prevent it) from this status. 

Thus, when we contemporarily await anything else than the zero output or an output which is not relevant to the given input, by this only awaiting, we require a construction of the Perpetuum Mobile functionality.)... 

Actin is present in all eukaryotic cells where it has structural and mobility functions. Most movement associated with microfilaments requires myosin. The myosin-to-actin ratio is much lower in nonmuscle cells, and myosin bundles are much smaller (10-20 molecules rather than about 500), but the interaction between myosin and actin in nonmuscle cells is generally similar to that in muscle. As in smooth muscle, myosin aggregation and activation of the actin-myosin interaction are regulated primarily by light chain phosphorylation. Myosins involved in transporting organelles along actin filaments are often activated by Ca-CaM. 

Bussell, S. J., Koch, D. L., and Hammer, D. A., The resistivity and mobility functions for a model system of two equal-sized proteins in a lipid bilayer. /. Fluid Mech. 243, 679 (1992). 

In the Ref [14], the method of reflections was applied to calculations of three-particle and four-particle interactions. It was shown that, as compared to pair interactions, three- and four-particle interactions introduce corrections of the order 0(l/r" ) and 0(l/r ) to the corresponding velocity perturbations, where r is the characteristic distance between particles. A generalization for the N-particle case was made in [15]. The velocity perturbation is found to be of the order 0(l/r + ). In the same work, expressions for the mobility functions are derived up to the terms of order 0(l/r ). It should be kept in mind that the corresponding expressions are power series in 1/r, so to calculate the velocities at small clearances between particles (it is this case has presents the greatest interest), one has to take into account many terms in the series, or to repeat the procedure of reflection many times. In addition to analytical solutions, numerical solutions of a similar problem are available, for example, in [16]. At small clearances between particles, the application of numerical methods is complicated by the need to increase the number of elements into which particle surfaces are divided in order to achieve acceptable accuracy of the solution. 

To illustrate the dependence of the mobility function d>y on the concentration of surfactant in the continuous phase, in Fig. 12 we present theoretical curves, calculated in Ref 138 for the nonionic surfactant Triton X-100, for the ionic surfactant SDS ( + 0.1 M NaCl) and for the protein bovine serum albumin (BSA). The parameter values, used to calculated the curves in Fig. 12, are listed in Table 4 and K are parameters of the Langmuir adsorption isotherm used to describe the dependence of surfactant adsorption, surface tension, and Gibbs elasticity on the surfactant concentration (see Tables 1 and 2). As before, we have used the approximation Dj Dj (surface diffusivity equal to the bulk dif-fusivity). The surfactant concentration in Fig. 12 is scaled with the reference concentration cq, which is also given in Table 4 for Triton X-100 and SDS + 0.1 M NaCl, cq is chosen to coincide with the cmc. The driving force, F, was taken to be the buoyancy force for dodecane drops in water. The surface force is identified with the van der Waals attraction the Hamaker function Ajj(A) was calculated by means of Eq. (86) (see below). The mean drop radius in Fig. 12 is a = 20 /pm. As seen in the figure, for such small drops 4>y = 1 for Triton X-100 and BSA, i.e., the drop sur-... 

The above results indicate that Kefir culture-mediated soymilk fermentation combined with specific Rhodioia phenolics could effectively mobilize functional phenolics. Such a strategy could be effectively used for complimentary therapies for postprandial hyperglycemia linked to management of type 2 diabetes. 

Based on the above rationale, an interesting experimental model was set up to evaluate in vitro H. pylori inhibitory effects of dietary ingredients mobilized via lactic acid bacterial fermentation using milk and soymilk substrates. Single strain fermentations with L. bulgari-cus (LB), L. acidophilus (LA), two different strains of L. plantarum (LPl and LP2) and two different strains of L. casei (LCl and LC2) were used to mobilize functional ingredients. Furthermore, LP2, which was the strain with the best H. pylori inhibitory potential, was used for... 

The major material inputs to the DD simulations include the elastic constants and the Burgers vector at the chosen pressure and temperature conditions, as well as the pressure-dependent parameters used in the mobility functions. All of these quantities are explicitly calculated at the atomistic level, as described in Sections 3 and 4 of this paper. The loading condition for the DD simulations is typically constant strain rate. The major outputs are stress-strain response and the dislocation density changes. In Section 5.2, we discuss the details of the simulation of high-pressure yield streugths for Ta and Mo single crystals. 

Jeffrey, D.J. and Gnishi, Y. (1984) Calojlation of the resistance and mobility functions for two unequal rigid spheres in low-Reynolds-number flow. J. Fluid Mech., 1J9,261-290. 

In a study in 1982, Luken and Culberson analyzed the change of the Fermi hole shape with respect to the position of reference electron to gain information about the spatial localizatirai of electrons [36], The Fermi hole density is derived from the same-spin pair density and describes the probability density to find an electron at given position, when another same-spin electron is localized at the reference position with all the other electros located somewhere in the space. Like in Sect. 2.2, it shows how the electronic motion of electrons creating a same-spin pair is correlated. For a closed-shell Hartree-Fock wave function, the so-called Fermi hole mobility function F(r) ... 

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