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A lack of accountability, transparency, and ease of operating in China--combined with growing evidence of high-level corruption--has made domestic and foreign businesspeople increasingly wary of the "China model". These issues have deep roots in Chinese history and the country's political system.
Two major issues in using a pattern are "what pattern to choose?" and "how to apply the selected pattern to have a consistent model?" These issues have direct impact on the quality of models and should be given due attention.
This provides the motivation of our study and guidance for how to model these issues and analyze them empirically.
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The proposed model addresses these issues using a novel combination of two modern concepts in mortality forecasting in a Bayesian framework: (1) Age-specific ROMIs can capture dynamic age-shifts of mortality change over time.
Gallop et al. [ 22] also recognise the different triggers that may lead to the onset or worsening of symptoms in their conceptual model; however these issues were not identified in the present literature review.
In this article, we propose an ordinary differential equation model (ODE) model that addresses these issues and at the same time can be effectively fitted to data with sufficient computational efficiency to enable one to handle many genes.
State-space models directly address these issues by coupling a model for observation error with a mechanistic model of animal movement and solving the models together [53].
Presidential succession provides a model for addressing these issues.
We use jawed vertebrates (Gnathostomata) as a model to address these issues.
This research proposes a probabilistic, engineering-based, bottom-up model to address these issues.
In the present study, the geometry of a membrane was chosen as a geometric model to address these issues.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com