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Since the genome sequence of S. oneidensis MR-1 was released in 2002 [1], many biological processes in S. oneidensis MR-1 have been investigated in a high-throughput manner by utilizing methods such as whole-genome microarrays, liquid chromatography-mass spectrometry (LC/MS), gas-chromatography-mass spectrometry (GC/MS), and nuclear magnetic resonance (NMR).
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Our findings raise the concern that a woman may not have power in a relationship to negotiate condom use with her partner and that programming addressing gender inequity in contraceptive decision making could help increase contraceptive uptake and empower women to utilize methods such as condoms to prevent HIV acquisition.
Consequently, they must improve educational service with service measurements by utilizing new methods such as blueprinting.
Further research utilizing mixed methods such as qualitative research and/or a cohort design would be necessary to explore this topic.
As these mutations were not reported in earlier studies, we further characterized the effect of these mutations on the protein function and stability utilizing computational methods such as SIFT, Polyphen, and MD simulations.
So generally, we have to utilize approximate methods such as metaheuristics.
Much of the prior research on nurse handoffs has utilized retrospective methods such as interviews, surveys and questionnaires.
Physical approach utilizes numerous methods such as evaporation/condensation and laser ablation, whereas chemical approach involves the metal ions in solution which are reduced in conditions favoring the successive formation of small metal clusters or aggregates [68, 69, 70].
We utilized GIS methods such as address matching and mapping to correct all the errors we identified.
Traditionally, biomarker discovery has utilized popular methods such as MS, ELISA, gene expression and antibody arrays to profile serum samples [56].
Unlike our case, where evolutionary relationships between proteins were approximated by similarity searches, the quality of predicted interactions will be enhanced by utilizing more sophisticated methods (such as tree-base methods) which allow a more reliable assignment of orthology.
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