Exact(3)
Nonetheless, there are specific aspects of cancer biology that are difficult to faithfully model cancer cell lines.
Without clarity regarding the components, it is difficult to faithfully replicate effective interventions and challenging to identify techniques contributing to effectiveness across interventions [ 12].
However, there are major structural differences between mouse and human skin tissues, which make it difficult to faithfully and non-invasively perform longitudinal studies on the evolution of melanoma lesions in animal models [ 24].
Similar(57)
I feel that what these pictures never do is work hard to faithfully document observed reality.
3D datasets that do not have clear spatial boundaries can also be difficult to reproduce faithfully.
However, even simple biological film structures possess a high level of complexity, which is difficult to be faithfully reflected in a single system of partial differential equations.
Chronologically, it is difficult to establish guidelines that illustrate the evolution of Gaudí's style faithfully.
As with other disciplines, it is difficult to identify a cohesive, distinctive set of Fabrist "doctrines" in these works, because the explicit goal was to digest Aristotle himself faithfully, not to identify and counter potential rivals.
Although the group's work has faithfully rendered sounds of various objects spinning, falling and banging into each other, more complex objects and interactions — like the reverberating tones of a Stradivarius violin — remain difficult to model realistically.
The results demonstrate that the developed method can faithfully predict the deformation of the structure and most importantly the delicate second sound effect of heat conduction in both one and two-dimensional solids whilst it is usually difficult to model, especially in two-dimensional, by using the transform method.
We show that important timing information associated with the interactions can be faithfully represented in autonomous Boolean models in which binary variables representing expression levels are updated in continuous time, and that such models can provide a direct insight into features that are difficult to extract from ordinary differential equation (ODE) models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com