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Some discontinuous models

The following models for the transition Sj - S are considered because they [Pg.138]

In deriving the Poisson model, a rather general description arising from the above applications can be established. We assume that events of a given kind occur randomly in the course of time. For example, we can think on service calls as (requests for service) arriving randomly at some server (service facility) as events, like inquiries at an information desk, arriving of motorists at a gas station, telephone calls at an exchange, or emission of electrons from the filament of a vacuum tube. [Pg.139]

Let X(t) be a random variable designating the number of events occurring during the time interval (0, t). An interesting question regarding to the random variable X(t) may be presented as what is the probability that the number of events occurring during the time interval (0, t) = t will be equal to some prescribed value X. Mathematically it is presented by  [Pg.139]

Having established the one-step transition probabilities pjk and pjj, the differential equation for Px(t) will be derived by setting up an appropriate expression for Px(t -i- At). If the system occupies state Sj = x -1 at time t, then the probability of occupying Sk = x, i.e., making the transition Sj to Sk, is equal to the product XAt Px-i(t). If the system already occupies state Sk = x at time t, then the probability of remaining in this state at (t, t -i- At) is equal to (1 - XAt )Px(t). Thus, since the above transition probabilities are independent of each other, and following Eq.(2-3), we may write that  [Pg.140]

If we transpose the term Px(t) on the right-hand side, divide by At, and approach At to zero, we obtain the following differential equation  [Pg.141]


Deep knowledge of the enzymatic reaction is necessary for a proper selection of the variables that should be considered in the reaction model. In this case, two variables were selected Orange n concentration, as the dye is the substrate to be oxidized, and H2O2 addition rate, as the primary substrate of the enzyme (Lopez et al. 2007). The performance of some discontinuous experiments at different initial values of both variables resulted in the definition of a kinetic equation, defined using a Michaelis-Menten model with respect to the Orange II concentration and a first-order linear... [Pg.367]

Analytical models are mathematical models that have a closed form solution to the equations used for describing changes in a system. Some analytical models are developed for highly specific applications, whereas others for general applications. In material science, micromechanical models are developed to analyze the composite or heterogeneous materials on the level of individual constituents. They can predict the properties of the composite materials and account for interfaces between constituents, discontinuities, and coupled mechanical and nonmechanical properties. [Pg.55]

Let us now consider the two related models that are shown in Figure 5. In these discontinuous models, both components are exposed at the surface and they are organized into domains. These domains are thick compared to the XPS sampling depth and they occupy some fraction,... [Pg.225]

The COSTALD correlation is quite accurate even at high reduced temperatures and pressures. Predicted liquid densities generally agree with measured values within 1-2% provided the errors in the critical property predictions are low. A potential problem can occur if the reduced temperature is greater than 1. There can be discontinuity from the Spencer-Danner equation in the density prediction which may cause some process models to fad. However, at a reduced temperature greater than 1, the equation of state becomes more accurate and can be used directly. Aspen HYSYS includes a smoothing approach (using the Chueh and Prausnitz correlation [16]) to ensure a smooth transition from the COSTALD densities to equation-of-state-based densities. [Pg.39]

An interesting question that arises is what happens when a thick adsorbed film (such as reported at for various liquids on glass [144] and for water on pyrolytic carbon [135]) is layered over with bulk liquid. That is, if the solid is immersed in the liquid adsorbate, is the same distinct and relatively thick interfacial film still present, forming some kind of discontinuity or interface with bulk liquid, or is there now a smooth gradation in properties from the surface to the bulk region This type of question seems not to have been studied, although the answer should be of importance in fluid flow problems and in formulating better models for adsorption phenomena from solution (see Section XI-1). [Pg.378]

The are essentially adjustable parameters and, clearly, unless some of the parameters in A2.4.70 are fixed by physical argument, then calculations using this model will show an improved fit for purely algebraic reasons. In principle, the radii can be fixed by using tables of ionic radii calculations of this type, in which just the A are adjustable, have been carried out by Friedman and co-workers using the HNC approach [12]. Further rermements were also discussed by Friedman [F3], who pointed out that an additional temi is required to account for the fact that each ion is actually m a cavity of low dielectric constant, e, compared to that of the bulk solvent, e. A real difficulty discussed by Friedman is that of making the potential continuous, since the discontinuous potentials above may lead to artefacts. Friedman [F3] addressed this issue and derived... [Pg.583]

Figure 6.3a shows the plot of log S versus pH of an ampholyte (ciprofloxacin, pKa values 8.62 and 6.16, log So — 3.72 [pION]). In Figs. 6.1b, 6.2b, and 6.3b are the log-log speciation profiles, analogous to those shown in Figs. 4.2b, 4.3b, and 4.4b. Note the discontinuities shown for the solubility speciation curves. These are the transition points between a solution containing some precipitate and a solution where the sample is completely dissolved. These log-log solubility curves are important components of the absorption model described in Section 2.1 and illustrated in Fig. 2.2. [Pg.93]

Gryns (1896), Hedin (1897), and especially Overton (1900) looked at the permeability of a wide range of different compounds, particularly non-electrolytes, and showed that rates of penetration of solutes into erythrocytes increased with their lipid solubility. Overton correlated the rate of penetration of the solute with its partition coefficient between water and olive oil, which he took as a model for membrane composition. Some water-soluble molecules, particularly urea, entered erythrocytes faster than could be attributed to their lipid solubility—observations leading to the concept of pores, or discontinuities in the membrane which allowed water-soluble molecules to penetrate. The need to postulate the existence of pores offered the first hint of a mosaic structure for the membrane. Jacobs (1932) and Huber and Orskov (1933) put results from the early permeability studies onto a quantitative basis and concluded molecular size was a factor in the rate of solute translocation. [Pg.158]

As summarized above, there are many transport models and flow mechanisms describing reverse osmosis. Each requires some specific assumptions regarding membrane structure. In general, membranes could be continuous or discontinuous and porous or non-porous and homogeneous or non-homogeneous. One must be reasonably sure about the membrane structure before he analyzes a particular set of experimental data based on one of the above theories. Since this is difficult, in many cases, it would be desirable to develop a model-independent phenomenological theory which can interpret the experimental data. [Pg.254]


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