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We have measured the mid-infrared spectra of twenty-nine anderoids and have derived temperature estimates from our data that are largely consistent with the predictions of the standard thermal model.
When transcribing data that are largely embedded in text rather than table, it is easy to make errors.
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For many companies there is a vast trove of data that is largely overlooked in assessing a company's total worth.
For all these detection tasks, performances reported in the literature are quite good on clean conditions, especially on broadcast news data that were largely used for speech processing system benchmarking [3, 4].
Disease gene association is one of the forms of biological data that is largely used for inferring associations between diseases.
Many of the papers in this review were based on data that were largely opportunistic in nature.
What about accuracy and reliability of the data? A. We're compiling the data that is largely drawn from secondary sources.
Although any reasonable scoring method for the gene order data generates results that are largely compatible among the different analyses, the more that the gene order data can be interpreted as actual mutational events (and the presence or absence of those events used as characters) the stronger will be the results.
Aggregation techniques will combine these data and generate trees that are "largely congruent with the SSU tree", at the cost of hiding a great deal of conflicting information.
Although even this amount of data has yielded relationships that are largely congruent with current phylogenetic opinion, we would recommend the use of relevant supertrees (e.g. [ 26, 27]) or other similarly comprehensive phylogenies for intraordinal relationships.
It is important to differentiate between fully data-driven models and models that are largely constrained using prior knowledge.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com