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A multiharmonic force excitation is proposed to overcome identification problems encountered with a single harmonic excitation for certain classes of nonlinear systems.
Many works in multi-object tracking have proposed some partial solution [10 13] using sequential or global strategies to estimate object trajectories and overcome identification errors.
The strategy of using prior knowledge to overcome identification problems arising from a small amount of data could be used in many Systems Biology application.
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This allows us to overcome the identification problem of endogenous educational attainment.
The complexity of the nonlinear dynamics is overcome through identification of linear models at different speed regimes.
To overcome this identification problem we use data that incorporates a surprise policy change in Queensland, Australia, that introduced a cap on DCs.
We employ a regression discontinuity design using the re-centered Democratic margin of victory as a running variable, to overcome the identification challenge posed by confounding factors.
There is already a group of papers that overcome this identification problem by exploiting different quasi-experimental designs or natural experiments that provide exogenous sources of variation in land titles.
An innovative tool to possibly overcome bacterial identification problems is the MCC-IMS.
A sequential step-by-step analysis of the deterioration of the autophagic contents during the degradation process may help to overcome this identification difficulty.
The Th1/Th2 paradigm has recently been overcome by identification of novel Th families, including Th9, Th17 and Th22, with their signature cytokines [ 3].
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