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At 20-25 km altitude, these aerosols are a predictable factor determining Earth's climate.
Insulin resistance and metabolic syndrome are commonly associated with NAFLD and their presence is a predictable factor of progressive liver dysfunction, which may lead to hepatic failure [7].
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The vertical difference between the inferior borders of the PS and the distal segment at the vertical osteotomy line for SSRO after setback of the distal segment (vertical bony step, VBS) was the most predictable factor for CWR of the PS (p < 0.001), and it correlated significantly with the gonial angle, the surgical change in SNB, and the downward movement of the maxilla (p < 0.05).
Ask Jon Niese what spurred his stunning turnaround this season, and he offers a few practical, if predictable, factors.
But who can blame her? She, like so many women -- and men -- pick a mate based on pretty predictable factors, dating back to caveman days when all we were trying to do was survive and keep our species going, according to physical anthropologist and Why Him?
Therefore, the aim of our study was to identify predictable factors associated with a mild-to-moderate, long-term CD course; for this purpose, we prospectively analysed a large cohort of patients with CD over 15-year period.
We verified whether income differences would occur depending on predictable factors for each group by conducting a chi-square test.
A recent review of the literature concluded that there are predictable factors which influence recruitment and retention of primary care physicians in rural areas [ 9].
Fortunately, customer satisfaction is based on four predictable factors, originally laid out in my first book, a collaboration with Leonardo Inghilleri. 4. The support of an effective problem resolution process.
Time-averaged predictions may be decomposed into two components: (1) unpredictable noise resulting from the chaotic nature of the atmosphere and (2) a component that is potentially predictable because it is constrained by predictable factors, such as ENSO, AMV, or external forcing.
Co-authored by eminent MIT researcher John D. C. Little '48, PhD '55, it contained a statistical model showing how shoppers adjusted their coffee-buying preferences based on predictable factors such as brand loyalty, sale pricing, and in-store discounts.
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