Electrochemical sensing has widely been explored to identify markers of different diseases like cardiac diseases, cancer, acquired immunodeficiency syndrome, hepatitis and urinary infections (Table 1) [18, 19, 19, 20, 21, 22].
The elementary steps leading to the formation of HCOO and CO via CO2 hydrogenation, two important intermediates contributing to methanol and methane formation, respectively, have been explored to identify hydroxylation effect of the oxide support on the selectivity in CO2 hydrogenation on Pd/γ-Al2O3 catalyst by the density functional theory together with slab model calculations.
However, this approach has not previously been explored to identify histone PTM 'erasers', which are likely involved in weak and transient interactions.
Although several methods have been explored to identify or enrich CSCs in osteosarcoma, these methods sometimes seem impractical, and chemotherapy enrichment for CSCs in osteosarcoma is rarely investigated.
Measurements of second trimester amniotic fluid cytokine and chemokine levels have previously been explored to identify women at an elevated risk of PTB [ 18– 20] and diagnose intrauterine infection [ 21, 22].
Recently, there has been interest in methods which avoid the use of biochemical labels; numerous intrinsic biomarkers have been explored to identify cells including size, electrical polarizability, and hydrodynamic properties.
The implications of these observations are explored, to identify the limits to the analogy between fluidised beds and Newtonian liquids.
Forty modeling techniques, including ensemble modeling were explored to identify the set of best performing models for different attribute sets.
Thus, each node in Fig. 4, or the corresponding visualisations in Fig. 1, can be explored to identify the underlying data.
Hence, evaluation of new germplasm of cultivated rice as well as wild Oryza species must be explored to identify new genes for resistance.
Different problem formulations are explored, to identify the most effective approach to emissions reduction, and the sets of optimal solutions enable identification of trade-offs between conflicting objectives.
