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Regressive behavior

Another common example is when a very severe depression or anxiety disorder pulls the rug out from under a person. As a result, we may see the emergence of helplessness and overly dependent behavior. This may be an exaggeration of preexisting dependent traits, but it may also be the kind of regressive behavior seen across many personality styles when one is laid low by a serious, debilitating illness. [Pg.49]

Regressive behavior, such as enuresis, encopresis and biting... [Pg.204]

Regressive behaviors lastiug louger thau a few weeks... [Pg.213]

Schizophrenia A major mental disorder lasting more than 6 months and characterized in part by thought disturbances, misinterpretations of reality, mood change (including blunted affect and inappropriate moods), communication problems (poverty of speech and coherence), and bizarre, withdrawn, or regressive behaviors. The five subtypes are disorganized, catatonic, paranoid, undifferentiated, and residual. [Pg.309]

The most efficient way to illustrate the effect of various parameters (although not always the most physically insightful) is through non-dimensional parameters. A baseline case for illustrating the effect of various non-dimensional parameters on steady regression behavior is selected as shown in Table 1. The value of Dg is selected so that the mass fluxes are the same between the two cases Eg 1 and Eg 1 (the different Dg values compensate for the different Eg values), and therefore the surface temperatures and conductive heat feedback terms are the same. The temperature and volumetric heat release profiles are shown in Fig. 2. The effect of large E is to concentrate the condensed phase heat release in a narrow zone at the surface, Xg - 0. Similarly, the effect of large Eg is to... [Pg.249]

Withdrawal Regressed behavior, e.g. rocking, sulking, return to bedwetting Nervous behavior, e.g. hair twisting ... [Pg.624]

Home and Orr Organizational and human resource development Resilience is a fundamental quality of individuals, groups and organizations, and systems as a whole to respond productively to significant change that disrupts the expected pattern of events without engaging in an extended period of regressive behavior (Home and Orr 1998)... [Pg.2197]

A linear regression was performed on the data, giving a slope of 1.08, an intercept of 1.922, and = 0.94. The fit of the data to the linear relationship is surprisingly good when one considers the wide variety of ionic liquids and the unloiown errors in the literature data. This linear behavior in the Walden Plot clearly indicates that the number of mobile charge carriers in an ionic liquid and its viscosity are strongly coupled. [Pg.117]

Recorded kinetic curves were fitted to the five-parameter Equation (1). The parameters pj with their errors and the standard deviation of regressions are summarized in Tables 1-6. Comparison of the data confirm the previously reported (refs. 8,12) similarity in the behavior of the two isomers in the presence of strong bases in spite of the different shape of the kinetic curves. The relatively good agreement of exponents p2, P4 computed for the diastereomers at the same temperature and amine concentration demonstrates the validity of the model used. From comparison of Equations (4) and (7) it follows that both reaction must give the same exponent. [Pg.268]

P. Werbos, Beyond regression new tools for prediction and analysis the behavioral sciences. PhD Thesis, Harvard, Cambridge, MA, 1974. [Pg.695]

The most likely terminal position was given as Eq. (24), where it was mentioned that if the coefficient could be shown to scale linearly with time, then the Onsager regression hypothesis would emerge as a theorem. Hence the small-x behavior of... [Pg.16]

The behavior of D2 in the Raman experiments is strongly correlated with the Q4 chemical shift, 6, in the NMR spectra. 6 equals about -110 to -111 ppm when D2 is absent or when it exhibits low relative intensities comparable to those in conventional vitreous silica, for example the 50 and 1050°C sample spectra and the rehydrated 600°C sample spectrum. From the regression equation cited above -110 to -111 ppm corresponds to - 147 to 149°, values quite close to the average in conventional v-Si02, 151° (4 ). The average 64 is shifted downfield to about -107 ppm in the 600°C sample in which D2 is observed to be quite intense. Deconvolution of this peak reveals two Q4 resonances at -110 and -105 ppm. -105 ppm corresponds to - 138°, which is very near the equilibrium 4> calculated for the isolated cyclic trisiloxane molecule, HgSi303, ( = 136.7°) (46). The positions of the Q2 and Q3 resonances, however, appear to be totally unaffected by the presence or absence of D2 (as shown in the 600°C CP MASS sample spectrum). [Pg.328]

The two network precursors and solvent (if present) were combined with 20 ppm catalyst and reacted under argon at 75°C to produce the desired networks. The sol fractions, ws, and equilibrium swelling ratio In benzene, V2m, of these networks were determined according to established procedures ( 1, 4. Equilibrium tensile stress-strain Isotherms were obtained at 25 C on dumbbell shaped specimens according to procedures described elsewhere (1, 4). The data were well correlated by linear regression to the empirical Mooney-Rivlin (6 ) relationship. The tensile behavior of the networks formed In solution was measured both on networks with the solvent present and on networks from which the oligomeric PEMS had been extracted. [Pg.332]


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See also in sourсe #XX -- [ Pg.203 ]




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