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While work is being done to look at cumulative effects of phthalate exposure on reproductive tract development [ 42], there currently exist insufficient animal and human data to develop a good biologically-based exposure index for potential effects on obesity.
We used these data to develop a simple model to predict accumulation of TCS over time.
(2012) used CHAMP data to develop a global model of Birkeland currents using empirical orthogonal functions.
This study integrated lithofacies, foraminifera and seismic data to develop a sequence stratigraphic approach to hydrocarbon exploration for Chiadu field.
Time series analysis uses historical data to develop a model for the prediction of future data values.
Our approach integrates ifcXML data and other spatial data to develop a richer model for construction users.
A series of regression analyses were performed on the test data to develop a generalized model for the prediction of compressive strength in HESC.
Internal stakeholders may be determined by applying inductive reasoning to the condition-based maintenance process, using empirical data to develop a theory.
We used the relationship between belowground carbon (BGC) and AGC from the FIA data to develop a BGC spatial distribution at the same scale as AGC [5, 27].
We analyzed 3-D finger motion while subjects typed on a standard keyboard, and used these data to develop a keyboard that accomplishes this goal.
We collected empirical data to develop a future setting for an example case (Bothoven-Noord) on decision-making for smart grid implementation.
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