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Thus, we chose to deliver our intervention approaches utilizing a mobile clinic model to provide smoking cessation services to a broad range of underserved populations.
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Many gradient-based FR-IQA approaches utilize a similarity function to calculate gradient similarity [8, 10, 20].
The conventional approaches utilize a fixed gain PI controller that increases the error between the reference and actual DC link voltage under sag condition.
Most operational sampling approaches utilize a combination of earth-observation data and in-situ field assessments as data sources.
These approaches utilize a third fluorescent dye (fluorescein) to monitor key fabrication variables, such as print/spot morphology, DNA retention, and background arising from probe redistributed during blocking.
So far, these approaches utilized a combination of many differentially methylated regions and therefore require DNAm profiles based on microarray or sequencing technology.
Both approaches utilize a series of standard RNAs which is spiked into the sample of interest in order to provide a way of calibration of inter-experiment differences or normalization of quantity data in the experimental sets.
Based on our findings, we propose an algorithmic approach utilizing a panel of IHC markers for subclassification of NSCLC.
A dynamic digital element approach, utilizing a dynamic relaxation procedure, is developed to determine 3-D woven textile micro-geometries.
In this work a novel approach utilizing a genetic algorithm (GA) based on a nonlinear energy operator (NEO) is proposed.
Experience with these challenging fractures has led to an alternative approach utilizing a primary distal femur replacement total knee arthroplasty.
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