Sentence examples for apparent variable from inspiring English sources

The paradox is then solved by construing the Liar as 'there is a proposition that I state and that is false'; hence the statement contains a quantification (hence an apparent variable) over the collection of all propositions, and it is not a proposition in a proper sense (Russell 1906, 642 644).

In addition, the drugs used to define non-specific binding and duration of film exposure may have played a role in the apparent variable effects of L-DOPA on DAT density when measured ex vivo.

The presence of this structure only in the arctic lineage and the apparent variable copy number is intriguing and raises the interesting possibility that it may have contributed to regulatory-driven adaptation.

Although the distribution of stages was not an apparent variable over the time course of this study, it remains to be evaluated whether screening programs and early detection of NPC have an impact on survival among the general high-risk population.

Unfortunately in the summary of *12, we find "A predicative function is one which contains no apparent variables, i.e., is a matrix" [PM, 167].

They proposed this axiom as a means to reduce any function to one of lower type, successively, so that at the "bottom" (0 order) the function is identical to its extension: :"Let us give the name of matrix to any function, of however many variables, which does not involve any apparent variables.

From the plot (Supplementary Fig. 1, top), it is apparent that variable 60 was included most frequently in the stored chromosomes, followed by variables 90 and 59.

This binding pocket is flanked by several polar residues (Fig. 1) whose contribution to bacterial ligand binding is apparent and variable (Virji et al., 1999; 2000).

Gene expression of different SOCS and CIS mRNAs in breast disorders was visualised through hybridisation between labelled probe and target mRNA, apparent as variable grey levels on film and bright silver grains on tissue sections.

For situations of moderate heteroskedasticity (i.e., α ν = 12) fitted with RR-BLUP or BayesA WGP models, the heteroskedastic error specification yielded greater (P < 0.05) genomic predictive accuracy than its homoskedastic counterpart but this difference was not apparent using variable selection models like BayesB or BayesCπ.

These data confirm that the inverse association between PROP status and BMI reported earlier in men is also present in women and that this relationship becomes apparent when variables relevant to eating behavior in women are taken into consideration.