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Defaults characteristics

A second important characteristic of the schema as we see it today was introduced by Minsky. This is the distinction between fixed and variable content. Some information associated with a frame is fixed that is, some features must occur in a specified way if the frame is to be used. Other features are inconstant and may change with the situation. The frame typically contains default characteristics to describe these. Minsky speculated that the frame normally has a number of default characteristics in place. As details from the current situation are observed, they replace the... [Pg.17]

Not all pieces of the mental model will be completely known, of course, or there would be no problem. One important role for a schema is to supply, where reasonable and appropriate, the default characteristics that allow the schema to be used. Too many pieces may be missing, however, and the mental model will be on shaky ground because too much of it has been supplied by these default mechanisms. An individual may elect at this point to review the problem for additional details, to search for other possible schemas, or to continue with the present schema knowing its fit is problematic. [Pg.55]

Female sexual development and behaviour in mammals occurs by default and requires no ovarian secretion, and it is only in genetic males that the testis can secrete hormones which destroy this female pattern and superimpose that of the male. Sexual differentiation is not so well defined in fish, and larval exposure to both synthetic estrogens and androgens is widely used in aquaculture to produce monosex cultures. Endocrine disruption of sexual differentiation in fish may therefore reflect both the complexity and diversity of such processes between different species. Some care is required in use of the terms hermaphrodite and sex-reversal since a true hermaphrodite has both functional testes and ovaries and a sex-reversed fish is fully functional as its final sex—both produce the appropriate viable gametes. Such functional sex-reversal is not possible in mammals, but in some species of fish it is the normal developmental pattern. In most of the cases of hermaphroditism or sex-reversal reported in the non-scientific press, there is evidence only for a few ovarian follicles within a functional testis. This may be considered as feminisation or a form of intersex, and is very clearly endocrine disruption, but it is certainly neither sex-reversal nor hermaphroditism. In some cases the terms have even been used to infer induction of a single female characteristic such as production of yolk-protein by males. [Pg.41]

The critical characteristic on each component was analysed, calculated from the analysis and the value obtained was plotted against the process capability indices, Cpk and Cp, for the characteristic in question. See Appendix V for descriptions of the 21 components analysed, including the values of Cp and Cp from the SPC data supplied. Note that some components studied have a zero process capability index. This is a default value given if the process capability index calculated from the SPC data had a mean outside either one of the tolerance limits, which was the case for some of the components submitted. Although it is recognized that negative process capability indices are used for the aim of process improvement, they have little use in the analyses here. A correlation between positive values (or values which are at least within the tolerance limits) will yield a more deterministic relationship between design capability and estimated process capability. [Pg.57]

The second parameter, P2, represents the idleness of the equipment used in the production line to make product i. The values of a, may be specified by the user according to specific problem characteristics and the objective function used for the determination of dominant lines. Lazaro et al. suggested the following default values i = l, 2 = a = -l. [Pg.507]

Now, go to the LTI Viewer window and select Import under the File pull-down menu. A dialog box will pop out to help import the transfer function objects. By default, a unit step response will be generated. Click on the axis with the right mouse button to retrieve a popup menu that will provide options for other plot types, for toggling the object to be plotted, and other features. With a step response plot, the Characteristics feature of the pop-up menu can identify the peak time, rise time, and settling time of an underdamped response. [Pg.231]

Requirements, specifications and distance to retail markets. For example, retailers increasingly apply the same size and visual quality requirements to organic and conventional fruit. Under supermarket specifications, even slight deviations in size or minor skin defaults that do not negatively affect the eating quality or hygiene of the fruit are usually rejected. The often substantial effort required to achieve these mainly cosmetic quality characteristics is often considered to detract attention and resources from important nutritional and sensory-related qualities. [Pg.332]

Principal component analysis (PCA) of the soil physico-chemical or the antibiotic resistance data set was performed with the SPSS software. Before PCA, the row MPN values were log-ratio transformed (ter Braak and Smilauer 1998) each MPN was logio -transformed, then, divided by sum of the 16 log-transformed values. Simple linear regression analysis between scores on PCs based on the antibiotic resistance profiles and the soil physico-chemical characteristics was also performed using the SPSS software. To find the PCs that significantly explain variation of SFI or SEF value, multiple regression analysis between SFI or SEF values and PC scores was also performed using the SPSS software. The stepwise method at the default criteria (p=0.05 for inclusion and 0.10 for removal) was chosen. [Pg.324]

The Renwick work can be applied in the following way. Suppose it were possible in a specific case to develop a reasonably thorough picture of the comparative pharmacodynamic characteristics of a compound in humans and rats, and that the work revealed that no difference in pharmacodynamic response (at comparable doses) was expected. We would then turn to Table 9.1 and see that the typical pharmacodynamic difference between humans and animals (the default) puts humans at 2.5 times greater risk than animals. But now in our new case, the difference is seen to be a factor of 1.0 (no difference). We should be allowed to reduce the overall UF of 10 to a factor of 4.0, which is the default for pharmacokinetic differences (which we have not studied). Data substitute for defaults. Use of the Renwick defaults allows us to make some headway without having to take on... [Pg.261]

Data from studies in experimental animals are the typical starting points for hazard and risk assessments of chemical substances and thus differences in sensitivity between experimental animals and humans need to be addressed, with the default assumption that humans are more sensitive than experimental animals. The rationale for extrapolation of toxicity data across species is founded in the commonality of anatomic characteristics and the universality of physiological functions and biochemical reactions, despite the great diversity of sizes, shapes, and forms of mammalian species. [Pg.227]

For inhalation exposure, an appropriate default methodology estimates respiratory deposition of particles and gases, and estimates internal doses of gases with different absorption characteristics. [Pg.308]

Refer to well-described distributions from other cases in order to understand default shape characteristics and use this information to develop bounds or parameter estimates for the present case. [Pg.170]

Most of the devices used by PSpice can include temperature effects in the model. Most of the semiconductor models provided by Oread include temperature dependence. By default, the passive devices such as resistors, capacitors, and inductors do not include temperature dependence. To make these items include temperature effects, you will need to create models that include temperature effects. The temperature dependence of resistors is discussed in Section 4.G.I. In this section, we will show only how the I-V characteristic of a 1N5401 diode is affected by temperature. The D1N5401 diode model already includes temperature effects so we will not need to modify the model. We will use the standard resistor, which does not include temperature effects. We will continue with the circuit of Section 4.B ... [Pg.203]

Default values have been published for use in estimating exposures — for example, from food and water consumption in adults and children, soil ingestion in children, and respiration rates in children and adults (USEPA, 1990). The Child-Specific Exposure Factors Handbook summarizes data on human behaviour and characteristics that affect children s exposure to environmental agents and recommends values to use for these factors (USEPA, 2002a). [Pg.240]

Numerous combinations of signal averaging to smooth out the incoming motor current noises were evaluated. Initial endpoint recipe development did not result in good repeatability. The recipe would endpoint on several wafers, with the remainder defaulting past the endpoint set time. During the interpretation of the curve traces it was determined that a portion of the trace behavior was characteristic of the polisher and not the wafer film material. [Pg.109]

Measurement characteristics have been reviewed and a default model including an uncertainty description presented. [Pg.360]

The third parameter line contains the following information the first number is the wavelength of the used radiation in angstroms, the second, third and fourth quantities represent the molecular weight of the formula unit in atomic mass units (a.m.u.), the measured density in g/cm and the error in the measured density, respectively. The defaults are set at zero meaning that none of these characteristics of the material is known. [Pg.454]

Overall, cancer risk assessment involves the four steps of hazard identification, dose-response, exposure assessment, and risk characterization. The dose-response curve established for cancer potency derivation for a chemical is based on evaluation of data on the carcinogenicity and dose-response characteristics of the chemical. The pharmacokinetics and mechanistic data evaluation (e.g., genotoxic or nongenotoxic) and a dose-response review of all adequate bioassays are conducted to determine, if target dose estimates or a dose-response model different from the default may be suggested. [Pg.404]


See other pages where Defaults characteristics is mentioned: [Pg.313]    [Pg.313]    [Pg.64]    [Pg.66]    [Pg.49]    [Pg.356]    [Pg.253]    [Pg.40]    [Pg.453]    [Pg.333]    [Pg.272]    [Pg.276]    [Pg.31]    [Pg.310]    [Pg.170]    [Pg.134]    [Pg.144]    [Pg.263]    [Pg.272]    [Pg.100]    [Pg.9]    [Pg.207]    [Pg.136]    [Pg.218]    [Pg.105]    [Pg.21]    [Pg.186]    [Pg.245]    [Pg.286]    [Pg.345]    [Pg.40]    [Pg.125]    [Pg.2796]   


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