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Re (1): The fact that M1 can be expanded to a Tarskian model is not surprising, given the reasoning in Example 1.1, above: any initial hypothesis about the truth values of the three sentences in question leads, after three iterations of the revision process, to a stable hypothesis that (Tβ ∨ Tγ) and Tα are true, while ¬Tα is false.
Genetic innovation was not detected, which provides evidence in favor of the developmentally stable hypothesis.
In conclusion, genetic influences on symptoms of AAD in adolescence and young adulthood are best described by the developmentally stable hypothesis.
The developmentally stable hypothesis predicts that a single set of genetic risk factors will impact on AAD symptoms from late adolescence through early adulthood.
These results are in line with a developmentally stable hypothesis that predicts that a single set of genetic risk factors acts on symptoms of AAD from adolescence into young adulthood.
The change in genetic and environmental influences on symptoms of AAD, and specifically whether genetic influences could be best described by the developmentally dynamic or by the developmentally stable hypothesis, was explored by modeling the data in a longitudinal ACE model.
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We therefore proposed that dropouts without formal vocational qualifications should have lower chances to enter a stable employment (Hypothesis 1a) and achieve a lower occupational status in the first stable employment (Hypothesis 1b) than graduates from vocational training, who have not entered higher education.
We proposed that dropouts with a vocational qualification should be more likely to enter a stable employment (Hypothesis 2a) and achieve on average a higher occupational status than dropouts without a vocational qualification (Hypothesis 2b).
Dropouts with a vocational qualification hence should be more likely to enter a stable employment (Hypothesis 2a) and achieve on average a higher occupational status than dropouts without a vocational qualification (Hypothesis 2b).
The present paper develops what it has been named as the maximum number of stable points hypothesis and builds from the corresponding theoretical framework an applicable computation procedure.
By using Lemma 2.3, the unique positive periodic solution of (4.6) is z 6 ( t ) = μ e − ( d 5 − λ k m 2 ∗ c + m 2 ∗ ) ( t − n T ) 1 − e − ( d 5 − λ k m 2 ∗ c + m 2 ∗ ), n T < t ≤ ( n + 1 ) T. This is globally asymptotically stable by hypothesis (A3).
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