By many measures, California, with roughly seven million people currently uninsured, more than any other state, is taking the lead in aggressively rolling out changes before January, when most Americans will be required by law to have medical coverage or pay a penalty, the so-called universal mandate.
Interestingly, pastimes such as playing number games and word games, and doing activities similar to the tests, were strongly associated with many measures, and testing strategies with almost all.
While there are many measures of democracy with different definitions of democracy, Americans still use the Freedom House ratings more consistently than any alternative.
By many measures, mice fed with a high-fat diet plus resveratrol appear as healthy as their lean counterparts, which indicated that resveratrol can protect mice from detrimental effects of diet-induced obesity [ 27, 28].
A confident, quietly subversive R&B record equal parts sound and silence, the 10 tracks of obsession suggest futuristic Massive Attack pared to the bone, with many measures of echoed space and many others dotted with beats, bleeps and burps.
Our other findings are consistent with this explanation: higher E&M charges were associated with many measures of increased patient complexity including greater patient age, primary language other than English, treatment with insulin, presence of acute complaints, anti-hyperglycemic medication intensification, number of medications processed, and longer note length.
This approach mirrors the reality that real solutions to our transport problems can only result with many measures.
Jan Hol, an Ahold spokesman in the Netherlands, said the company provided investors with many measures to help them assess its financial performance, including "organic" sales and earnings figures that exclude the effect of acquisitions.
The use of big data with many measures, and/or complex models (e.g. machine-learning models) or models lacking formal inferential definitions (e.g. many clustering models), can lead to algorithmic discrimination that is neither intended by nor immediately discernable to the researcher.
