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Water absorption tests were conducted by immersing PKRC specimens into three different conditions at room temperature for a period of 24 weeks.
We categorized the specimens into three groups and designed low, middle and high water saturations and gas flow rates to study the influences of the physical properties, water saturation and gas rate on the degree of reserve recovery.
As mt 16S rDNA are considered to be one of the mitochondrial markers which are able to correctly place zoanthid specimens, especially for Zoanthidae and Spheopidae families, within a species group (Sinniger et al. 2008; Reimer and Todd 2009; Swain 2009), applying this marker in the present study categorized these specimens into three species-level groups with a high level of confidence.
Singular value decomposition (SVD) analysis, a dimension reduction method to project gene expression profiles to fewer representative eigenvectors [ 23], also successfully separated AS, IN, and NC specimens into three clusters with first two eigenvectors (Fig. 1c).
The first two canonical variates (CV1 and CV2) explain almost all the morphological variation of the sample (95.92%) and distribute the specimens into three different clusters: a cluster of Fgfr2 +/P253R Apert syndrome mice, a cluster of unaffected littermates from both models and a cluster of Fgfr2 +/S252W Apert syndrome mice (Fig. 2A).
Fluorescence intensity was used to classify specimens into three groups of enzyme activity: normal (moderate to strong fluorescence after 5 minutes and strong fluorescence after 10 minutes), intermediate (weak fluorescence after 5 minutes and weak to moderate fluorescence after 10 minutes), and deficient (very faint or no fluorescence after 10 minutes).
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By and large, it seems possible to divide the extant specimens into two subcategories: Plato pastiche and Lucian pastiche.
We classify all specimens into eight scenarios, varying the numbers of freeze-thaw cycles and corresponding degrees of saturation.
Statistical parsimony analysis separates these specimens into four networks, and the K2P distance ranges from 0% to 12.7% between individual specimens.
Hierarchical clustering separated the specimens into two groups (Figure 2A) based largely upon drivers THBS1, EGR1, EPAS1, CYR61, FN1 and PLAU.
Morphological data also allowed us to classify the specimens into five sections based on principal spore characters, similar to Soehner's opinion [26]: Spore surface smooth, no ornamentation; no perisporium.
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