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Link Models

The work of Matthies et al. [22] collects the current issues, methods, and tools for DSS, and that of Argent et al. [23] describes a DSS generator within which users are able to select and link models, data, analysis tools, and reporting tools to create specific DSS for particular problems, and for which new models and tools can be created and, through software reflection (introspection), discovered to provide expanded capability where required. This system offers a new approach within which environmental systems can be described in the form of specific DSS at a scale and level of complexity suited to the problems and needs of decision makers. [Pg.137]

The elastic free energy of the constrained-junction model, similar to that of the slip-link model, is the sum of the phantom network free energy and that due to the constraints. Both the slip-link and the constrained-junction model free energies reduce to that of the phantom network model when the effect of entanglements diminishes to zero. One important difference between the two models, however, is that the constrained-junction model free energy equates to that of the affine network model in the limit of infinitely strong constraints, whereas the slip-link model free energy may exceed that for an affine deformation, as may be observed from Equation (41). [Pg.350]

Whereas in the second approach of the size effects it is also assumed that fracture is controlled by defects, the strength is now considered a statistically distributed parameter rather than a physical property characterised by a single value. The statistical distribution of fibre strength is usually described by the Weibull model [22,23]. In this weakest-link model the strength distribution of a series arrangement of units of length L0 is given by... [Pg.14]

The Refolding, Gain-of-Interaction, and Natively Disordered classes of fibril models are at least partly consistent with the common properties of amyloid and amyloid-like fibrils. We summarize consistencies, inconsistencies, and uncertainties linking model class and amyloid property in Table I. In the following paragraphs, we describe these properties and discuss the extent to which they may be explained by the various classes of models. [Pg.265]

Yang C, Mitra AK (2001) Nasal absorption of tyrosine-linked model compounds. J Pharm Sci 90 340-347. [Pg.131]

Two-compartment PK model the indirect PD response model is a more appropriate approach for modeling the PK/PD of insulin than the effect-compartment link model... [Pg.369]

Lin, S. and Ghien, Y.W., Pharmacokinetic-pharmacodynamic modeling of insulin comparison of indirect pharmacodjmamic response with effect-compartment link models, J. Pharm. Pharmacol, 54, 791-800, 2002. [Pg.374]

In Bowman and Narayandas (2004), we present a chain-link model of customer profitability using these data. The results from this study may... [Pg.206]

Fig. 7.2 Mooney-Rivlin plot for the Slip-Link model... Fig. 7.2 Mooney-Rivlin plot for the Slip-Link model...
The conformational properties of peptides linked to these capping templates were investigated by CD spectroscopy, NMR-measurements, and X-ray diffraction analysis.204 Figure 32 shows the CD spectra of the two template-linked model peptides 102,103, and an uncapped 12-mer reference peptide 104 with comparable amino acid sequence (Boc-Ala Aib-Alag-Aib-Alaj-pIa). The CD spectra exhibit the negative maxima at about 207 and 222 nm, characteristic for a-helical peptides. Based on the ellipticity values at 222 nm (amide n — 7t transition) the N-capped peptide was calculated to be approximately 90% a-helical, whereas the helicity of the reference peptide is approximately 50% in TFE/H20 (1 1). [Pg.45]

Figure 32. CD-spectra of template linked model peptide 102 and 103 12-mer reference peptide (Boc-Ala2-Aib-Ala6-Aib-Ala2-pla) 104. Figure 32. CD-spectra of template linked model peptide 102 and 103 12-mer reference peptide (Boc-Ala2-Aib-Ala6-Aib-Ala2-pla) 104.
In order to show that HIT-1 was a-helix compatible and induces a-helical conformations in short peptides from the N- and C-terminus as well as from internal positions, template-linked peptides have been compared to nonconstrained reference peptides. In the N- and C-cap projects a hydrophobic 12-mer peptide was used as a standard reference. The 12-mer reference peptide 104 was originally developed for host guest experiments to evaluate the a-helix propensities of unnatural amino acids (see Section II.A) and had later been used to confirm N-cap induced helix formation.141,202,214 In the C-cap series and for position-independent templates the same reference peptide could be used after minor modification of the terminal protection groups. The suitably protected reference peptide and the corresponding template-linked model peptides used for the evaluation of N-terminal, C-terminal, and internal helix induction are depicted in Figure 39. [Pg.52]

Figure 39. Reference peptides (first row) template-linked model peptides (second row) used for the evaluation of N-terminal, C-terminal internal a-helix induction. Figure 39. Reference peptides (first row) template-linked model peptides (second row) used for the evaluation of N-terminal, C-terminal internal a-helix induction.
Figure 15 Linking models at various scales using ROMs and deriving lower scale specifications through an inverse optimization formulation. The ROM included at each scale is a reduced representation of the model at the scale below that could range from a set of parameters such as, for example, elementary rate constants to complex models derived from proper orthogonal decomposition and perhaps even to the full lower scale model. This is symbolized by coloring the ROM box with the same color as that of the box representing the adjacent lower scale model. Figure 15 Linking models at various scales using ROMs and deriving lower scale specifications through an inverse optimization formulation. The ROM included at each scale is a reduced representation of the model at the scale below that could range from a set of parameters such as, for example, elementary rate constants to complex models derived from proper orthogonal decomposition and perhaps even to the full lower scale model. This is symbolized by coloring the ROM box with the same color as that of the box representing the adjacent lower scale model.
Estimation of plasma EC50 by linking plasma kinetics to target dynamics and building a plasma PK/PD link model. [Pg.114]

The simplest covalently linked models for photosynthetic electron transfer must consist of a chromophore covalently linked to a donor or acceptor. The following reactions are then observable, in principle. [Pg.110]

In principle, many of real systems are more or less adequately described by the equilibrium one-component noncross-linked model [Eqs. (65)-(76)] which is fair for engineering calculations. Most of other systems can be considered as its small perturbations. [Pg.70]


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See also in sourсe #XX -- [ Pg.3 ]




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Calculations with cross-linked network model

Chain-link models

Direct link models

Effect-concentration state space for the indirect link model

Enzyme-linked immunosorbent assay models

Fluctuating cross-link model

Hard link model

Indirect link model with bolus intravenous injection

Indirect link models

Linked-atom modeling

Linked-atom models

Linking Marketing and Supply Chain Planning Models

MODEL Terms Links

Model biomarker-outcomes link

Model cross-linked polybutadiene

Molecular modelling, link with QSAR

Node-link-blob model

Parallel-cross-linked pore model

Pharmacokinetic link model

Pharmacokinetic/Pharmacodynamic, link models

Random-link model

Simulator model, linking process

Slip link model

Soft link model

The Parallel Cross-Linked Pore Model

The Slip Link Model

Weakest-link model

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