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In the study presented here, we integrated the 2 approaches by generating adenoviral vectors that express both the HSV-TK gene from the adenoviral E4 promoter and, from a distinct expression unit, multiple copies of an amiRNA directed against the wt Ad5 pTP mRNA.
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We illustrate validity of our approach by generating a sliding mode control input function for stabilization of an inverted pendulum.
We compare the performance of our algorithm against that of a traditional Force-Directed Scheduling approach by generating architectures from algorithms selected from embedded computing and scientific computing.
The approach, by generating networks where the input data are fed via external inputs rather than initial conditions, enables multiple prototype patterns to be retrieved simultaneously.
In this study we suggest an alternative approach; by generating NCR-Ig fusion proteins we allow the NK receptors to bind to their preferred (and mostly unknown) tumor ligands and to selectively recruit, via the Ig domain, effector mechanisms against the malignant cells.
The purpose of this study is to develop a novel MAR approach by generating a smooth and continuous virtual sinogram.
We complemented this approach by generating expressed sequence tags (ESTs) from protein-encoding loci of this species.
Metabolite detection may be accomplished using a targeted approach by generating a library of MRMs associated with known standards or by untargeted analysis.
In addition to that, we have also applied Monte-Carlo (MC) approach by generating 30 times training and testing dataset for five-fold cross-validation.
Wharam et al. [ 17] simplified Billings et al.'s approach by generating a single measure of ED severity based on the summation of probabilities.
We expect clinical drug development to benefit from our approach by generating expectations on the size of interindividual variations for a given study population.
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