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The best-fit model supported a shift from non-specific childhood antecedent syndromes (i.e., sleep problems, anxiety, and in the lithium non-responsive bipolar subtype, neurodevelopmental disorders) to internalizing symptoms under stress (i.e., sensitivity), to depressive disorders and finally on to the manifestation of the first activated episode.
The starting score (model: animal, in vitro) was set to 6 because this is the smallest natural number that meets the decision rule below described (in case a single study based on such a model supported a given hypothesis).
Item loadings and fit indices of the single factor model supported a unidimensional interpretation of the item pool.
After controlling for confounders, a multivariate logistic regression model supported a link between food insecurity and mental distress (AOR = 4.15, 95 % CI: 1.67, 10.32).
The results of the analysis conducted using the binomial distribution were qualitatively similar to those presented in Table 1; again, the model supported a shift from a unimodal distribution prior to the epidemic to a bimodal distribution after.
The results are qualitatively similar for the bimodal distribution with unequal mode weighting; that is, the model supported a shift from a unimodal distribution prior to the epidemic to a bimodal distribution after.
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The 3G model supports A-GPS to allow its position to be calculated with GPS or relative to nearby cellphone towers; it also has a black strip on the back to aid 3G reception.
The proposed model supports a personalized and secure multi-user access to outsourced data, presenting high search performance.
The proposed model supports a large array simulation that can be interfaced with MPPT algorithms and power electronic converters.
The model supports a complex interaction between personal resources and negative symptoms in predicting depression in schizophrenia.
The Richards model supports a lower mean asymptotic length (L∞ = 271.0 cm FL) than the model currently used in the stock assessment (L∞ = 314.9 cm FL).
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