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However, two [23, 30] of these five studies did not provide any diagnostic indications on the specific dental stage in the identification of the skeletal maturation phase.
All of this evidence would thus not support the conclusions of most of the studies included [23, 28, 29, 31] (Table 1), in which clear indications for a given maturational stage in the identification of the growth phase were reported.
These nine proteins represent the first stage in the identification of antibody-based markers of successful vaccination.
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As the main goal of the present meta-analysis, an appraisal of the diagnostic performances of the dental maturational stages in the identification of the growth phase was performed by calculation of the positive LHRs from the previously reported data.
The percentage distributions of the dental maturational stages across the different growth phases (Tables 3, 4, 5, and 6) were computed for the whole sample within each study, instead of within each growth phase, as previously reported, as this better resembles the diagnostic capabilities of the dental maturational stages in the identification of the different growth phases.
Finally, regarding the diagnostic usefulness of the dental maturational staging in the identification of skeletal maturity, the studies suggested reliable use for the diagnosis of all of the skeletal maturational stages [23, 29, 31] or for the onset of the pubertal growth spurt [28].
Studying translation initiation in these organisms may not only help define divergent features in specific stages, useful in the identification of potential therapeutical targets, but may also enhance the understanding regarding the evolution and conservation of the whole process throughout the eukaryotic lineages.
Only in a minority of patients, the similarity of the clinical presentations to those of known primary cancers at a similar stage has resulted in the identification of subsets of patients with favorable clinical and pathological features.
In this stage, the identification of the fault section follows the classification of fault type.
Interestingly, the pipeline described in this study can address this problem at the discovery stage, since the identification of IH SNPs in alignments to any reference sequence indicates the expression of both homeolog copies of that sequence in both inbred lines.
The peak annotation stage improves the identification of the metabolites in the metabolomic samples by increasing the chemical and biological information in the dataset.
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