Exact(1)
Additional analyses of individual or combined choledocholithiasis predictors that are classified as "strong" or "very strong" in the ASGE guidelines [ 6] did not show significant associations between these factors and the detection of CBD stones (data not shown).> -wrap-foot> commonmmon bile duct, EUS endoscopic ultrasonography.
Similar(59)
A possible explanation is that Rosetta Stone data can have a lower number of False Positives connections among its genes.
Even if the E1/Rho-like model did allow a subunit to fire several times in a row, such a model would still be inconsistent with the stepping stone data.
35 In addition to predicting kidney stone, our data show that the group that is most likely to have kidney stones is also unlikely (<2%) to have an important alternative cause of symptoms.
They acknowledge the commencement of VR techniques as an important stepping stone for data integration in construction design and management as they are capable of holding and presenting the whole information about buildings (e.g. size, material, spatial relationships, mechanical and electrical utilities, and etc).
Rosetta Stone protein data represents prediction of protein-protein interactions inferred from genome sequences.
Relative humidity was not a statistically significant predictor of the risk of kidney stone presentation (data not shown).
The second screen tested 1458 individuals of Hymenoptera associated with galls induced by oak gall wasps (Hymenoptera: Cynipidae, Cynipini; [ 78]), comprising nine species of oak gall wasp, 26 species of associated chalcid parasitoid, and ten species of oak gall wasp inquiline (Hymenoptera: Cynipidae, Synergini) (A Aebi and G Stone, unpublished data).
Timing and duration of maximum adult weight, primary location of weight gain, and weight cycling did not appear to be related to risk for stones or cancer (data not shown), although too few subjects reported a history of weight cycling for reliable assessment.
If the government does what's right, this disclosure will just be a stepping stone to the data Google and Twitter want to provide.
The data stone carbonized adsorbent was prepared by a simple and facile method at relatively low temperature of 250 °C during 3 h.
Write better and faster with AI suggestions while staying true to your unique style.
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