[1] During transport, atmospheric aerosol particles experience nonlinear size-dependent deposition processes which affect their size distribution. This implies that the aerosol particle size distribution (PSD) should be well represented in three-dimensional transport models that simulate their transport and their radiative or biogeochemical impacts. In particular, mineral dust aerosols exhibit ...

OBJECTIVE To examine the utility of the Bayley Infant Neurodevelopmental Screener (BINS) as a screening technique for premature, low birth weight infants. METHODS One hundred thirty-three preterm infants <1,500 grams received a BINS assessment at mean adjusted age 6.8 months and a Bayley Scales of Infant Development, Second Edition (BSID-II) assessment at mean adjusted age 12.9 months. Infant...

In this version of Colored Bin-Packing, we have n items of unit weight, where each item is one of x colors, where x ≥ 3. Again, we have an unlimited supply of bins, each with weight limit L, in which to pack the items and our goal is to minimize the total number of bins. 2 Algorithm The unit-weight case introduces weight constraints. Furthermore, we know that color constraints, specifically the...

[1] Evaluating the impacts of atmospheric dust on marine ecosystems and climate requires the use of three-dimensional transport models including a size-resolved bins scheme to describe the evolution of the particle size distribution. Recently, Forêt et al. (2006) proposed an alternative size bins scheme to better account for the physical size-dependent processes such as dry deposition. This pap...

The standard approach of learning decision trees from histogram data is to treat the bins as independent variables. However, as the underlying dependencies among the bins might not be completely exploited by this approach, an algorithm has been proposed for learning decision trees from histogram data by considering all bins simultaneously while partitioning examples at each node of the tree. Al...