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Space, three-dimensional models

Three-dimensional (3D) models represent the highest tier of spatial and process complexity and solve the flow continuity equation and the Navier-Stokes equations for conservation of mass and momentum in three-dimensional space. Three-dimensional models are favored over depth-averaged models for water body systems where density stratification occurs or hydraulic structures significantly impact hydrodynamic behavior. Examples of 3D coupled hydrodynamic/sediment transport models include EEDC, ECOMSED, MIKE-3, RMA-10, and Delft 3D. [Pg.277]

Backbone generation is the first step in building a three-dimensional model of the protein. First, it is necessary to find structurally conserved regions (SCR) in the backbone. Next, place them in space with an orientation and conformation best matching those of the template. Single amino acid exchanges are assumed not to affect the tertiary structure. This often results in having sections of the model compound that are unconnected. [Pg.188]

FIG. 3 Three-dimensional model of the protein mass distribution of the S-layer of Bacillus stearothermophilus NRS 2004/3a [(a) outer, (b) inner face]. The square S-layer is about 8 nm thick and exhibits a center-to-center spacing of the morphological units of 13.5 nm. The protein meshwork composed of a single protein species shows one square-shaped, two elongated, and four small pores per morphological unit. (Modified from Ref. 7.)... [Pg.336]

Mehldahl (65) depicts several failure surfaces by photographs of various three-dimensional models. Figure 23 illustrates three such surfaces taken from Ref. 110, which shows geometries which are symmetrical about the space diagonal, oi = triaxial compression octant should be open ( because hydrostatic compression cannot lead to failure in the ordinary sense ). [Pg.231]

Having sermonized so long and hard about the time dimension, I am embarrassed now to promote a model that practically ignores it Time was the second dimension in activation-only models that plotted functions like EEG synchronization, desynchronization, muscle tone, eye movement, and autonomic measures as the first dimension. In the still traditional sleep charts, these functions rise and fall against time. In the three-dimensional model I will now develop, time is a fourth dimension, seen only as a sequence of points within the state space. [Pg.150]

In this chapter we first briefly review the most important types of covalent bonds encountered in organic substances and the ways in which these bonds are represented in structural formulas. Next we consider the sizes and shapes of organic molecules and how structural formulas written in two dimensions can be translated into three-dimensional models that show the relative positions of the atoms in space. We also discuss models that reflect the relative sizes of the atoms and the way in which the atoms may interfere with each other when in close quarters (steric hindrance). Then we go on to further important aspects of structure — the functional group concept and position isomerism. [Pg.30]

We can expect in this situation that the practical inverse problem would have a unique solution, because the space of the four-dimensional data parameters is bigger than the space of the three-dimensional model parameters. [Pg.24]

An ordinary copy of Mathematics for Physicists is about two inches thick. However, the Braille version on Dr. Skaw-inski s bookshelf requires more than three feet of space. The chemist, who began losing his sight in childhood, consults this reference as he creates three-dimensional models of molecules. In the follovi/ing interview. Dr. Skavi/inski talks about his innovative work and his love of chemistry. [Pg.316]

Table 1. The equations are for the three-dimensional model space described in the text and its two-dimensional sub-assemblages. The bracketed symbols in the last column indicate the variables that are not involved in the equation to the left. The next-to-left column shows that all other equations may be regarded as linear combinations of any three independent ones, such as Equations (2), (3) and (7)... Table 1. The equations are for the three-dimensional model space described in the text and its two-dimensional sub-assemblages. The bracketed symbols in the last column indicate the variables that are not involved in the equation to the left. The next-to-left column shows that all other equations may be regarded as linear combinations of any three independent ones, such as Equations (2), (3) and (7)...
The actual three-dimensional modelling (i.e. estimating the distribution of parameter values in space) is made in a sequence where the geometrical framework is taken from the geological model and used by the rock mechanics, thermal and hydrogeological modelling. The hydrogeochemical description is to some extent developed... [Pg.361]

We can plot two x,. predictors (a three-dimensional model), but not beyond. A three-dimensional regression function is not a line, but it is a plane (Figure 4.1). All the [F] or y values fit on that plane. Greater than two x, predictors move us into four-dimensional space and beyond. [Pg.153]

Individual anal5des may form different types of complexes with the chiral phase and may not correspond to those shown in Figures 8.5-8.S. The computational chemical calculation was performed in free space, and the chromatographic separation was achieved in narrow space. In particular, the position of the naphthyl group in the chiral phase affects the steric hindrance as expected from the three-dimensional models. The hydrogenbonding and van der Waals energy values did not directly support the chromatographic elution order. [Pg.195]


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See also in sourсe #XX -- [ Pg.5 , Pg.74 , Pg.77 , Pg.95 , Pg.97 , Pg.112 ]




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0-dimensional space

Model dimensional

Model three-dimensional

Modelling Three Dimensional

Space model

Space, three-dimensional models stereochemistry

Three-dimensional modeling

Three-dimensional space

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