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However, in applications to actual structures, this method has difficulty in modeling and analysis because it requires extremely fine meshing around the welds.
However, the 2D culture method has difficulty in overcoming the replicative senescence and maintaining the self-renewal properties, which results in cells of low differentiation capacity [ 1].
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As a consequence, the precision in estimating Ne is good for small populations, but the method has difficulties in distinguishing between large and infinite populations.
Static analysis methods, such as power flow based methods, have difficulty in evaluating voltage stability due to using simple models for the system components.
Pulsed neutron gamma density logging (NGD) is of great significance for radioprotection and density measurement in LWD, however, the current methods have difficulty in quantitative calculation and single factor analysis for the inelastic gamma field distribution.
These methods have difficulty in measuring the load because the dynamic effects are significant.
Moreover, as the scale-down of device dimensions continues, traditional fabrication methods have difficulty in meeting the resolution requirement [4, 5].
Additionally, DASH methods have difficulty in handling live video stream as it converts the video data into several chunks and encodes at different quality level to be downloaded by the receiver judiciously [7].
Howard et al. (2014) assessed 14 parametric and nonparametric methods using simulated genetic architectures, and found that parametric methods performed slightly better than nonparametric methods for additive genetic architectures, but parametric methods had difficulty in capturing non-additive effects such as epistatic effects.
The latter effect also explains why most methods have difficulty in providing accurate tumour volumes for small spheres.
Conventional explicit finite-difference methods have difficulties in handling high-frequency components due to strong numerical dispersions.
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