The Encyclopedia of Ancient History 2023
DOI: 10.1002/9781444338386.wbeah21217.pub2
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Mineralogy

Abstract: Most of what we understand about the ancient knowledge of the origins and properties of rocks and minerals comes from the surviving works of two classical writers: the On Stones of Theophrastus (ca. 372–287 bce ), and the Natural History (books 33–37) of Pliny the Elder (ca. 23–79 ce ). There are also scattered mineralogical references in other texts, such as the Library of History of Diodoru… Show more

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Cited by 29 publications
(27 citation statements)
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“…To verify possible relationships among species pair occurrence we built Spearman correlation matrices and tested the correlation among the presence and absence of each species pair. The analyses were implemented with the functions "cor" and "cor.mtest" of the package "Hmisc" (Harrell, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…To verify possible relationships among species pair occurrence we built Spearman correlation matrices and tested the correlation among the presence and absence of each species pair. The analyses were implemented with the functions "cor" and "cor.mtest" of the package "Hmisc" (Harrell, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…To explore associations in microbiota composition among different subjects, which encompassed patients, their corresponding healthy first-degree relatives (HFDRs), and unrelated healthy control subjects, we conducted principal coordinate analysis (PCoA) and PERMANOVA based on Bray Curties distance and unweighted Unifrac distance. Spearman correlation analysis was employed to assess relationships between serum markers, SCFA, and the differential taxa utilizing the Hmisc R package (Harrell Jr. and C., 2023).…”
Section: Discussionmentioning
confidence: 99%
“…The variables' importance ranking was determined by increased mean square error (%InMSE) and nodepurity percent (IncNodePurity). Finally, correlation matrices were analyzed to determine underlying drivers of the observed patterns, using the rcorr and corrplot functions of the R packages Hmisc (Harrell 2023) and corrplot (Wei T 2021), respectively.…”
Section: Discussionmentioning
confidence: 99%