Sentence examples for quantitatively stable from inspiring English sources

Exact(2)

Peptide content remained quantitatively stable within the indicated time frame.

Though we followed the protocols that have been previously published, we intended to use every m/z signal which satisfied the following conditions that (i) isotopic peak distribution was apparent; (ii) peaks were observed throughout the samples in a given analytical condition; and (iii) peaks were strong and quantitatively stable enough to distinguish the patients and healthy control groups.

Similar(58)

The model explains quantitatively the stable steady state kinetic and SEP results.

Moreover, the adsorption properties of ORR intermediates in acid are quantitatively more stable than in base and water respectively.

This wonderful mechanism was first elucidated by Wagner and co-workers [ 20]; we showed quantitatively how stable the DNMT reaction rate is to stochastic variation in methionine input [ 2].

The chlorins have been quantitatively incorporated into stable liposomes obtained from a mixture of l-α-palmitoyloleoylphosphatidylcholine and l-α-dioleoylphosphatidylserine in a 13.5 1.5 molar ratio (POPC/OOPS-liposomes).

Early signaling events in FGF-2 stimulated hESC were quantitatively monitored using stable isotope dimethyl labeling, resulting in temporal tyrosine phosphorylation profiles of 316 unique phosphotyrosine peptides originating from 188 proteins.

When alternative factor rotations were examined, DISS items exhibited stable and quantitatively similar factor loadings (Additional file 1: Table S2).

We investigated the occurrence of stable polymorphism quantitatively by simulating a model with fixed costs in deme 1 (u 1 = b 1 = 0.05 and s 1 = 0.2).

Chromosomally normal- and Trisomy 21-amniocytes were quantitatively analyzed by using Stable Isotope Labeling of Amino acids in Cell culture and tandem mass spectrometry.

These standard statistical estimators are typically used to evaluate, both qualitatively and quantitatively, the behavior of stable systems and the reliability of the stochastic models used for their simulation.

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