The obtained nonlinear physical in-service damper model and the vehicle dynamic response characteristics in this study could be used in the product design optimization and nonlinear optimal specifications of high-speed rail hydraulic dampers.
The patient characteristics in this study are shown in Table 1.
Predictions from these models were not used to spatially estimate forest characteristics in this study.
To further explore the relationship of personal characteristics in this study, we used a logistic regression to identify which variables were associated with falls resulting in fatal hip fractures.
However, we understand that we could not perfectly eliminate biasing influences of patient characteristics in this study and a larger scale trial is needed in the future.
Table 1 displays the patients' characteristics in this study.
Table 1 shows the general participant characteristics in this study.
Baseline patient characteristics in this study are shown in Table 1.
Main clinical characteristics in this study are summarized in Table 1.
The reported characteristics in this study are different for the PHCC and ACC patients.
