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This study explores a promising new method to repeatedly monitor sagebrush biomass across extensive landscapes.
We designed our method to repeatedly cycle a single (bio molecule between ambient and cryostat temperatures with microsecond time resolution.
Results of the present study indicate that the procedure used is a reliable and non-invasive method to repeatedly monitor variations in testicular endocrine activity in this species.
Tree species richness was assessed using rarefaction, a statistical method to repeatedly re-sample richness out of a random pool of samples constructed out of the field data (e.g. different plots).
A systematic evaluation of solution rheology as well as resulting capsule mechanical, visual and thermal analysis was performed to develop a suitable method to repeatedly fabricate RC hard shell capsule halves.
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This suggests a need for cost-effective methods to repeatedly map wetted reaches in intermittent streams.
We also applied the multivariate GMDR method to the repeatedly measured hypertension status from 5,466 subjects and compared its result with those of univariate GMDR at each time point.
The main merit of the proposed method is to repeatedly adjust model parameters with the current information including the latest observed values and model's outputs to enhance the reliability and the forecast accuracy of the proposed method.
One basic idea in these methods is to repeatedly perturb the original data (e.g., change weights of instances, or sample instances with replacement), and learn a decision tree from each perturbed data set.
We have introduced a new method to associate multiple repeatedly measured intermediate risk factors with high dimensional SNP data.
We introduce a method to associate multiple repeatedly measured intermediate risk factors with a high dimensional set of single nucleotide polymorphisms (SNPs).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com