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When analysing the performance of measures throughout the duration of ART, we found that during the first year of treatment, direct preference-based measures resulted in greater changes in utility scores than indirect preference-based measures, but starting from the second year, this trend reversed and indirect preference-based measures resulted in great changes than direct preference measures.
Direct preference-based measures resulted in greater changes in utility scores than indirect preference-based measures during the first year of treatment.
Feedback of SMBG data and summary SMBG-based measures resulted in improvement in average glycemic control and reduction in moderate/severe hypoglycemia.
For LEA, the c-statistic for the base model in Cohort 1 was below 0.70; each comorbidity measure resulted in a statistically significant increase in the c-statistic.
The addition of each comorbidity measure to the base model resulted in a significant improvement in the c-statistic.
Based on our measured results in the sensitivity versus SER experiment, we validate our theoretical analysis and system model, and draw the similar waterfall curves as measured results in Figure 7.
The work shows that measuring and controlling specific number based lumped outputs result in a more stable process than when mass based lumped outputs are used.
The energy flow chart has been drawn based on measured results of typical weather condition in Shanghai.
In the case of tobacco-control measures, the creative use of other Treaty bases has resulted in significant European action in the field of public health.
Based on our experimental analyses using the RF and triplet supertree method, optimizing the supertree based on different distance measures can result in very different supertrees (Table 1).
In addition, we hypothesized that a 1-SD change in PM10 based on either measure would result in SMOKE detection via satellite imagery.
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