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Using an energy-based approach to quantify fatigue damage, the model correctly predicts regions in grains where early fatigue crack initiation was observed.
It is also demonstrated that for small damage the errors are the main influence, whereas for large damage the model incompleteness becomes the most important factor in the results.
In this study, we present results from the first high-resolution (1 modelmofel of tDCS in a brain with considerable stroke-related damage; the model was individualized for the patient who received anodal tDCS to his left frontal cortex with the reference cathode electrode placed on his right shoulder.
Interestingly, in the presence of DNA damage, the model predicts senescence enhancement for CDC25A loss-of-function, an outcome previously hypothesized [ 49].
This may damage the model.
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We show that the effects of damage to the model resemble the reading impairments observed in neglect dyslexia.
Most of the damage to the models is minor and due to the failure of the original 19th century glue used in their construction.
The main objective is to evaluate the capabilities of the damage model to predict the mechanical behavior of sand materials.
The damage model considers the interactions among the voids and cracks during various stages of loading.
The damage model for the fracture of the process zone is represented using a stress-based formulation.
The damage parameters in the model have clear physical meaning and can be determined easily.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com