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Mathematic models were derived to compute the transient infiltration rates with data from the advance process of runoff water on soil surface and depth of water ponded on the soil surface.
The post hoc analysis of the data from the ADVANCE study also suggested recently that severe hypoglycemia is strongly associated with increased risk of adverse clinical outcomes, including macrovascular and microvascular changes and death from cardiovascular events.
Similar analysis performed on the data from the ADVANCE study showed that severe hypoglycemia was associated with significant increase in risks of major macrovascular events (HR 2.88 [95% CI 2.01 4.12]), death from cardiovascular disease (2.68 [1.72–4.19]), and all-cause mortality (2.69 [1.97 3.67]); P < 0.001 for all comparisons) (27).
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However, the value of exponent γ is lower when all data from the advancing and storage stages (method II) are used for calculation of the infiltration parameters.
Furthermore, the data from the advancing and storage stages (method II) are more appropriate for the calculation of infiltration parameters than the data from the advancing stage (method I), due to the fact that in method II, data were calculated from complete furrow irrigation including advancing and storage stages.
Summary data from the ACCORD, ADVANCE, VADT, RECORD, PROactive, ADOPT (A Diabetes Outcome Progression Trial), and BARI 2D studies were used for model development (Table 2).
Substantial data from the UK Prospective Diabetes Study UKPDSS), ADVANCE, and ACCORD support the hypothesis that, in general, those with type 2 diabetes who receive treatment to lower A1C levels may have lower rates of onset and progression of albuminuria a result that our data support (6, 7, 24).
The study used data from the Mars Advanced Radar for Subsurface and Ionosphere Sounding, or MARSIS, aboard the European Space Agency's Mars Express Orbiter.
For the work described here, we used data from the controls advanced research turbine (CART) at the National Wind Technology Center NWTCC) at the National Renewable Energy Laboratory NRELL).
These slides were then used to determine whether data from the run would advance into their data analysis pipeline by qualitatively scoring the run as 'Pass' or 'Fail'.
Based on data from the UK Prospective Diabetes Study and the ADVANCE study (24), the HbA1c reduction for the full-nut dose would translate into a predicted 7 8% reduction in microvascular complications.
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