We selected one of the two estimates for the primary meta-analysis and explored the effects of this choice in the sensitivity analysis (Table 1).
In this paper, we take into account the dependency among the leakage, the temperature, and the supply voltage in our theoretical analysis and explore the fundamental characteristics on how to employ dynamic voltage scaling (DVS) to reduce the peak operating temperature.
The RAPID framework was useful in supporting our analysis and exploring the multiple overlaps between the different analytical categories.
The findings of the study will help in developing new technologies and tools for computational analysis and exploring the relationship between disease and changes in the human microbiome.
The impact of imputation was assessed by examining imputed and non-imputed values, comparing with a complete-case analysis, and exploring the sensitivity of imputation models.
Further development and refinement of the Y-PASS questionnaires is recommended, including a confirmatory factor analysis and exploring the inclusion of additional items.
It is therefore of great interest to design a new method combining a tag-based technique such as LongSAGE with a high throughput sequencing technology in order to perform deep transcriptome analysis and explore the large complexity of the transcriptome.
We further explore the applicability of our conclusions to a more general context (i.e. to other cell types) by running global sensitivity analysis and exploring the behaviour of the model solution in the wide range of biologically plausible parameter values.
We also demonstrate the utility of the Asclepias data for phylogenomic analysis and explore the utility of the probes for Hyb-Seq in another genus of the same subtribe, Calotropis R. Br. (Asclepiadineae), and a more distantly related genus, Matelea Aubl.
Therefore, the qualitative analysis was included in the evaluation with the aim of providing an in-depth performance analysis, and exploring the perceptions of health workers and managers regarding constraints in the PEI with reference to: 1) program resources and logistics, 2) technical aspects, 3) program operation, management and organization, and 4) monitoring, evaluation and feedback.
