Model interpretation

Histone acetylation is a reversible and covalent modification of histone proteins introduced at the e-amino groups of lysine residues. Histones and DNA form a complex - chromatin - which condenses DNA and controls gene activity. Current models interpret histone acetylation as a means to regulate chromatin activity. 

The interpretative aspeets of the model (interpretative model). The eolleetion of chemical "concepts" (according to the definition given by Coulson) or other interpretative tools selected to "understand" the output of a model. 

Because of the difficulty in explaining the observed U-series excesses by time-independent models, interpretations of how disequilibria are created have evolved into models based on residence times. In these models, a melt phase coexists with the solid mantle but moves relative to it due to a driving force, most typically buoyancy. The physical situation under ridges can be referred to as two-phase flow because both the solid and the liquid flow. McKenzie (1984) and Scott and Stevenson (1984, 1986) derived the equations describing flow in a viscously deforming porous media. McKenzie... 

Wold, S., Kettaneh, N., and Tjessem, K., Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection, J. Chemometrics 10, 463 (19%). 

Model interpretation takes a different bent when minimum values for the respective diffusion coefficients are incorporated in the steady-state model, i.e., 1013 cm2/s for the stratum corneum and 10 9 cm2/s for the follicular shunt route. Inserting these values, everything else held constant, suggests there should be a substantial upgrading of the importance of the transfollicular contribution. Data with steroids seem to indicate, however, that the transepidermal route retains a dominant position in the steady state even in this case. 

The model interpretation is in good agreement with the known molecular factors influencing Caco-2 permeability. In addition - and this outlines the originality of the method - VolSurf allows the relevant 3D molecular properties to be quantified. Once the model is developed, as reported above, simple projection of the compound descriptors into it allows predictions to be made for new compounds. 

Klette, T. J. 8c Grihches, Z. 2000. Empirical patterns of firm growth and R8cD investment a quality ladder model interpretation. Economic Journal, 110(463) 363-387. 

Final state screening effects have been described generally, although qualitatively, in Part II. A more quantitative model interpreting the relative intensities of the different... 

As noted above, we had hoped that one could perform measurements on several sources of a particular class and observe trends that would allow one reliably to predict compositions of particles from other members of that class to avoid the need to study each Individual major source In an area before performing receptor-model Interpretations of ambient aerosols of that area. 

The interpretation stage consists of applying one or all of the chemical receptor model approaches to interpreting the chemical data generated. The objective of a source apportionment study is the support of effective control action. The level of confidence required to initiate this action may be established with a single receptor model interpretive approach or it may require information from additional interpretive approaches, wind sector analysis, (, ... 

The mean-centering operation effectively removes the absolute intensity information from each of the variables, thus enabling one to focus on the response variations. This can effectively reduce the burden on chemometric modeling techniques by allowing them to focus on explaining variability in the data. For those who are still interested in absolute intensity information for model interpretation, this information is stored in the mean vector (x), and can be retrieved after modeling is done. 

H.S. Taylor, Models, interpretations, and calculations concerning resonant electron scattering processes in atoms and molecules, Adv. Chem. Phys. 18 (1970) 91. 

It has been mentioned that an interpretation of outcomes means a transfer from one language into another one. Such a transfer facilitates an understanding between statisticians and researchers who jointly work in the study of system optimization. A regression model interpretation is not significant only for an understanding of the mechanism of the process but also for drawing conclusions about solving the problem of optimization. 

Translation of a model from the abstract mathematical into a researcher s language is called model interpretation. Interpretation is a complex process with several phases. It includes the estimates of the sizes and signs of the linear factor regression coefficients and their interactions, comparison of factor effects, check of previouspreliminary information, and in some cases a check of the hypothesis on the mecha-... 

They assumed that the primary cation radical of PMMA spontaneously and quickly dissociated to form carbocation, which then recombined with the liberated electron to form an excited radical with a ferr-alkyl structure. This excited radical was thought to be the precursor of the scission of the main chain. This reaction model interpreted well their observation that the G value for the scission of the side chain was close to that of the main chain and that the mercaptan added to scavenge electrons suppressed the main-chain scission efficiently without affecting the formation of volatile products from the ester side chain. The above reaction model motivated us to apply the ESE method to the study of radicals in irradiated PMMA. The model now seems inadequate, because it cannot accommodate some recent ESE results as mentioned later. 

The analysis within the particle model interpretation is developed by Scully et al. [15]. We suggest the reader to carefully study Ref. [15]. Here, we quote the result most relevant for the present discussion "...we find that the interference fringes disappear once we have which-path information, but we conclude that this disappearance originates in correlations between the measuring apparatus and the system being observed. The principle of complementarity is manifest although the position-momentum uncertainty relation plays no role."... 

The unfortunate situation is that this model interprets NQR results in terms of the intramolecular chemical bond only. The influences of the crystal field on the NQR frequencies are neglected. 

In practice, one is often faced with choosing a model that is easily interpretable but may not approximate a response very well, such as a low-order polynomial regression, or with choosing a black box model, such as the random-function model in equations (l)-(3). Our approach makes this blackbox model interpretable in two ways (a) the ANOVA decomposition provides a quantitative screening of the low-order effects, and (b) the important effects can be visualized. By comparison, in a low-order polynomial regression model, the relationship between input variables and an output variable is more direct. Unfortunately, as we have seen, the complexities of a computer code may be too subtle for such simple approximating models. 

Trace element compositions of airborne particles are important for determining sources and behavior of regional aerosol, as emissions from major sources are characterized by their elemental composition patterns. We have investigated airborne trace elements in a complex regional environment through application of receptor models. A subset (200) of fine fraction samples collected by Shaw and Paur (1,2) in the Ohio River Valley (ORV) and analyzed by x-ray fluorescence (XRF) were re-analyzed by instrumental neutron activation analysis (INAA). The combined data set, XRF plus INAA, was subjected to receptor-model interpretations, including chemical mass balances (CMBs) and factor analysis (FA). Back trajectories of air masses were calculated for each sampling period and used with XRF data to select samples to be analyzed by INAA. 

Wang X, Hsing IM, Leng YJ, Yue PL (2001) Model interpretation of electrochemical impedance spectroscopy and polarization behavior of H2/CO mixture oxidation in polymer electrolyte fuel cells. Electrochim Acta 46(28)4397-405... 

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