We develop an algorithm for finding and kinematically tracking multiple people in long sequences. Our basic assumption is that people tend to take on certain canonical poses, even when performing unusual activities like throwing a baseball or figure skating. We build a person detector that quite

income, a large set of personal characteristics, and year and country (or, in the case of the US, state) dummies. The effect, however, is more precisely defined statistically in Europe than in the US. In addition, we find striking differences across groups. In Europe, the poor and those on the left

determinants, the model includes a determinant from the field of microstructure-order flow. Order flow is the proximate determinant of price in all microstructure models. This is a radically different approach to exchange rate determination. It is also strikingly successful in accounting for realized rates

domains. Our results suggest a significantly more refined picture of community structure in large real-world networks than has been appreciated previously. Our most striking finding is that in nearly every network dataset we examined, we observe tight but almost trivial communities at very small scales

of teachers is impacted by attrition and transfer, as well as by the job matches between teachers and schools at the start of careers. Our results show striking differences in the qualifications of teachers across schools. Urban schools, in particular, have lesser-qualified teachers; and New York City stands

as providing better content than a generalist television set. A final series of studies demonstrates the depth of social responses with respect to computer “personality. ” Alternative explanations for these findings, such as anthropomorphism and intentional social responses, cannot explain the results. We

cytotoxic T lymphocyte–associated antigen 4 (CTLA-4), as well as secretion of the immune-suppressive cytokine transforming growth factor �. Strikingly, constitutive expression of CTLA-4 among CD4 � cells was restricted primarily to Treg cells, suggesting that CTLA-4 expression by these cells is involved

a corporation.)

to the curves used in previous ECM implementations, some of the new curves are more effective at finding small primes despite being faster; and precomputes particularly effective curves for several specific sizes of primes.

that emerges from these findings is strikingly consistent with statistical decision models that have been