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In the present study, we further expand the use of ShReD as a modularity analysis metric by developing a weighting scheme to reflect phenotypic state-dependent variations in reaction-to-reaction interactions.
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Our research suggests that by providing a digital scale and developing a weight collection protocol, researchers can train women to collect and record their own study weights with reasonable validity.
Dr Tom Schanz, of Ruhr University in Germany, has lent his engineering skills to the study of dinosaurs by developing a technique to estimate sauropod weight from a single footprint.
Third, the effects of incorporating weight bounds on attribute weights can be analyzed by developing a parametric distance model.
Meaning they will eat till they develop a weight problem.
We are exploring ways to improve DELTA-BLAST's performance, e.g. by developing better methods for weighting coincident hits to several CDs, and by using more information stored in CDD, such as domain hierarchies and specific hit scores (see [ 26] for details).
We confirmed that THE-MUSS is practically useful for mobile u-health services by developing mobile stress and weight management services on THE-MUSS.
The subsequent care cost was developed by weighting the cost of these health care services by the proportion of patients using these services to derive the average cost per person.
In the same way that Michael Phelps might improve as a swimmer, not through swimming more laps but by developing complementary strengths such as weight training, running, and other cross-training activities, people can improve leadership strengths by straightforward development of strongly correlated companion skills and behaviors.
This paper seeks to consolidate the experiences gained from a group of projects carried out by the Advanced Lead-Acid BALABCy Consortium (andBC) aimedimed at achieving increases in the specific energy and the specific power of lead-acid batteries by developing grid designs of low weight.
Logistic regression was used to develop a risk score by weighting predictors of critical care needs based on strength of association.
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