In contrast, the AGB of bushy shrubs (e.g., Acacia oerfota) was more effectively predicted by using the canopy volume (r2 = 0.84; p < 0.001).
We suggest that this observation be encorporated into further research to more effectively predict avian responses to landscape change and that more must be done to adequately capture the critical and complex role of the matrix in terrestrial systems.
Because CFD has good accuracy simulation for flow field around the airfoil under dynamic stall condition, the reduced order model can more effectively predict the airfoil nonlinear hysteretic behavior than L B model.
10, 11 Following these outbreaks, it has been strongly suggested that enhanced surveillance should be implemented to more effectively predict and respond to future outbreaks.
Therefore, it is particularly important to identify novel biomarkers that could more effectively predict prognosis and further help to achieve individualized treatment of patients with NPC.
[ 34] The combined assessment of CAC and baPWV also could more effectively predict cardiac events than the CAC score alone [ 35].
Therefore, BRMS1 levels used in conjunction with the TNM staging system have the potential to more effectively predict patient metastasis potential and prognosis and could guide the development of more personalized therapies for this disease.
Short loops are efficiently modeled using ab-initio methods (i.e. LEAP) due to the small number of degrees of freedom, which permits an adequate exploration of the conformational space, while long loops are more effectively predicted using template-based methods (i.e. LoopIng).
One of the emerging challenges for the NTP and the NIEHS is to use the best science to create, validate, and implement in environmental health research novel, robust, and efficient biological assays that will more effectively predict the risk of human disease and protect the health of our public.
Objectives of this study were to examine the feasibility of assessing reoperation rates at 182 hospitals to identify institutions with outlying performance, to examine potentially modifiable factors that are associated with reoperations, and to determine if a more parsimonious logistic regression model effectively predicts reoperations.
