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Modelling and calculations

Molecular mechanics modelling of has been presented by Baker et al. [201], in the study of [Pg.36]


Figure 11.21 shows a farm with animals moving around. Due to the symmetry of geometry and ventilation, only half of the scene is modeled and calculated. The pigs are simulated either as discrete objects (Fig. 11.21 a) or as distributed semiporous objects (Fig. 11.21/ ). [Pg.1052]

Due to the symmetry of geometry and ventilation, only a small part of the hall is modeled and calculated, i.e., a section abr)ut 6 m in width, 2 m in depth, and extending over the full height (Fig.. 24b). [Pg.1054]

Davidson, L. Turbulence modelling and calculation of ventilation parameters in ventilated rooms. Lie. thesis. Report 86/10, Dept, of Thermo and Fluid Dynamics, Chalmers Universirv of Technology, Gothenburg, 1986. [Pg.1058]

The relative accuracies of various model chemistries are discussed in more detail in Chapter 7 (page 146). Resource requirements for various models and calculation types are discussed in Chapter 6 (page 122). Recommended models for NMR calculations were discussed earlier in this work (pages 21 and 53). [Pg.96]

Pharmacokinetics is closely related to pharmacodynamics, which is a recent development of great importance to the design of medicines. The former attempts to model and predict the amount of substance that can be expected at the target site at a certain time after administration. The latter studies the relationship between the amount delivered and the observable effect that follows. In some cases the observable effect can be related directly to the amount of drug delivered at the target site [2]. In many cases, however, this relationship is highly complex and requires extensive modeling and calculation. In this text we will mainly focus on the subject of pharmacokinetics which can be approached from two sides. The first approach is the classical one and is based on so-called compartmental models. It requires certain assumptions which will be explained later on. The second one is non-compartmental and avoids the assumptions of compartmental analysis. [Pg.450]

With some further assumptions, it is possible to use single frequency FLIM data to fit a two-component model, and calculate the relative concentration of each species, in each pixel [16], To simplify the analysis, we will assume that in each pixel of the sample we have a mixture of two components with single exponential decay kinetics. We assume that the unknown fluorescence lifetimes, iq and r2, are invariant in the sample. In each pixel, the relative concentrations of species may be different and are unknown. We first seek to estimate the two spatially invariant lifetimes, iq and t2. We make a transformation of the estimated phase-shifts and demodulations as follows ... [Pg.93]

Higher molecular-weight products also are made. While this is a complex process, estimate the importance of the following reaction to the formation of higher hydrocarbons by including it in the model and calculating the C4Hg product... [Pg.174]

Table 14.1. Overview of existing hydrogen models and calculation tools for life-cycle analysis... Table 14.1. Overview of existing hydrogen models and calculation tools for life-cycle analysis...
Concluding this section, we may mention a paper by Daams and Villars (1993) concerning an atomic environment classification of the chemical elements. Critically evaluated crystallographic data for all element modifications (and recommended atomic volumes) have been reported. Special structural stability diagrams were used to separate AET stability domains and to predict the structure (in terms of environment types) of hitherto unknown high-pressure and high-temperature modifications. Reference to the use of AET in thermodynamic (CALPHAD) modelling and calculation has been made by Ferro and Cacciamani (2002). [Pg.136]

Modeling and calculations show that with increasing LET, there is a shift toward a greater complexity of clustered damage in DNA [30,81,87,119]. [Pg.508]

Risk Assessment. The overall compilation and assessment of the factors that must be considered in designing and siting geologic repositories is pulled together in a general discipline of risk assessment. Risk assessment calculations develop both generic and site specific models and calculate the potential transport times as a result of various phenomena. Calculations are being... [Pg.10]

The radial distance distribution in simple atomic and molecular fluids is determined essentially by the exclusion volume of the particles. Zemike and Prins [12] have used this fact to construct a one-dimensional fluid model and calculated its radial distance correlation function and its scattering function. The only interaction between the particles is given by their exclusion volume (which is, of course, an exclusion length in the one-dimensional case) making the particles impenetrable. The statistical properties of these one-dimensional fluids are completely determined by their free volume fraction which facilitates the configurational fluctuations. [Pg.66]

Using this model and calculational method, a calculation with just one water molecule in the space between the simulated copper slabs gave an on-top site (oxygen down) as the lowest energy water configuration on a 100 surface with a binding energy of about 0.4 eV. Then we did a calculation [35] with 245 molecules in the space between the planes and found the oxy-... [Pg.348]

The powerful mathematical tools of linear algebra and superoperators in Li-ouville space can be used to proceed from the identification of molecular phenomena, to modelling and calculation of physical properties to interpret or predict experimental results. The present overview of our work shows a possible approach to the dissipative dynamics of a many-atom system undergoing localized electronic transitions. The density operator and its Liouville-von Neumann equation play a central role in its mathematical treatments. [Pg.154]

The parameters of Hamiltonians (1) and (2) are determined in our approach by pure theoretical way using different quantum chemical models and calculations unlike the traditional fitting the experimental thermodynamic and dielectric data. Our method of the many-pseudospin clusters [ 1,4] seems to be the most reliable way of determination. The latter are obtained in this case within the static approximation from the system of equations for a typical crystal fragment (cluster) for all possible proton distributions on H-bonds. The left-hand side of any equation expresses the cluster total energy in terms of Jy, while the right-hand side is determined by means of the quantum chemical calculation of this energy. [Pg.581]

A number of pyrroloj 2, 3-tf]pyrimidines (82) have been made but all attempts to cyclise them to the tricyclic purine analogue (83) have failed, although the tricyclic system (84) has been known for many years [71TL4757]. Modelling and calculations show that there is considerable strain associated with the formation of the compound which is borne out by the failure to synthesise it [95JCS(P1)1225],... [Pg.271]

In another work, Laplanche et al. [129] used rate data on the ozone/ hydrogen peroxide oxidation of atrazine obtained in other studies, some of them from water-treatment plants, to check the feasibility of their kinetic model as far as the removal of atrazine was concerned. Calculated results included the variation of some intermediates. The authors demonstrated the suitability of the model and calculated results were very close to the experimental ones. [Pg.63]

The mere fact that these effects cannot be simulated by one-particle models does not discount their existence. These remarks should be read as a caveat not to interpret the well-known I I.J model and calculation as final, despite the excellent agreement with spectroscopic observation which, incidentally, relies on the same assumption of a vibrating diatomic molecule. It is not suggested that the calculated results be rejected, but to be used with the necessary caution. As a free molecule, Ht is almost certainly of spherical symmetry, and the same probably applies to all diatomic molecules. [Pg.69]

These spectral data were interpreted via a straightforward coupled oscillator model, and calculations were carried out to find a molecular conformation in < > and space around the center alanine residue which best reproduces the observed spectral data. The computational methods employed were discussed above (cf. Section 3) and detailed arguments are given in the original report [23]. A similar, yet not as detailed, effort had been published before for peptide models in non-aqueous solution [46]. [Pg.111]

Build the model and calculate estimates of the regression coefficients, b. ... [Pg.267]


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See also in sourсe #XX -- [ Pg.36 ]




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