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The statistical models could detect the voice activity exactly, but they are not efficient in practice.
We wished to determine whether niche models could detect and demonstrate this pattern where species expand into new environments, out to the bounds imposed by their scenopoetic niches [29], [31], [32].
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In Fig. 10a, b, the PFE model could detect this anomaly which marks transition between the salt dome located in unit 1 (Zechstein) and near surface gas pockets in Fig. 12.
The functions eventually reached the same minimum growth rate for all three sections (Fig. 5), which may represent the minimum growth rate that the model could detect.
The model could detect high levels of risk of abuse far in advance of the first diagnosis of abuse recorded in the system (fig 2).
To test whether the neurosphere model could detect NP toxicity, we exposed the neurospheres to CuO-NPs on d11 for 48 h.
Altered neural gene expression due to exposure to non-cytotoxic concentrations of the known developmental neurotoxicant, methylmercury, indicated that the 3-D model could detect DNT.
The purified intact protein (100 pmol) was analyzed by LC MS, and computational analysis using the averagine model could detect the dibromide-labeled from the unlabeled protein (Supplementary Figure 8).
We also demonstrated that the model could detect both adenocarcinomas and other histological types of cancer equally well: the ROC_AUCs were 0.795 (study data set) and 0.796 (test data set) for adenocarcinoma, and 0.860 (study data set) and 0.892 (test data set) for squamous cell carcinoma.
The background modeling method could detect the largest areas of the helicopter; however, there were erroneously detected pixels scattered in the scene (even in the sky area).
With the proof of principle dual-spectral analysis of the MCF10DCIS lung metastasis model, we could detect small metastases in the millimetre range.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com