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An in situ high-speed STM (video-STM) study of Cu(100) electrodes in Cu-containing 0.01 M HCl solution is presented, resolving atomic-scale dynamic Cu dissolution/deposition processes at potentials in the vicinity of the equilibrium potential.
Therefore in this study a novel approach is presented to resolve this problem.
A multivariable wavelet-based finite element method (FEM) is presented to resolve the bending problems of thick plates.
Moreover, a novel algorithm based on microeconomics is presented to resolve conflicting resource allocation and is implemented on top of the UST+.
Although several alternative approaches have been presented to resolve this problem, they cannot effectively treat situations in which the control factors have continuous values.
In addition, a modified sorting algorithm is presented to resolve the problem of unnecessary switching transitions, which is inherent in conventional sorting algorithm.
A phenomenological theory is presented to resolve the contributions of these optical parameters in the optical signal of the Cu surface.
A parallel nonlinear adaptive enhancement (PNAE) algorithm using information from local neighborhood is presented to resolve the problem in parallel.
To overcome the problem of low-resolution face recognition, several works have been presented to resolve this problem by using the super-resolution (SR) method [26 30].
A novel simultaneous dynamic range compression and local contrast enhancement algorithm (SDRCLCE) is presented to resolve this problem in a single-stage procedure.
The data presented here resolve this discrepancy between total T cell numbers and IFN-γ secretion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com