This finding is supported by the work of Arnot et al. (2010), who observed similar age patterns in human dietary intake of organic contaminants with a wide range of partitioning properties.
Chemicals with log KOW > 2 and log KOA > 6 have high bioaccumulation potential in humans when biotransformation is assumed to be negligible (Czub and McLachlan 2004; Kelly et al. 2007), and biotransformation is a key factor for reducing bioaccumulation potential over a wide range of chemical partitioning properties (McLachlan et al. 2011).
ROI coding combined with SNR and temporal scalability provides a wide range of possible bitstream partitions that can be judiciously selected in order to improve psychovisual perception.
Semivolatile organic contaminants (SVOCs) are particularly vulnerable to a range of sampling artifacts because of their wide range of gas-particle partitioning and degradation rates, and these can lead to erroneous measurements of air concentrations and a lack of comparability between sites with different environmental and sampling conditions.
They were determined from in vitro measurements of human tissue/air partition coefficients for a number of volatile anesthetics with a wide range of oil/air and water/air partition.
In addition, partitioning of a wide range of trace and minor cations onto either or both octahedral sites could result in slightly different O H bond lengths and an associated wavenumber shift.
Therefore, determining the most suitable operating conditions for removing a component from the liquid mixture requires knowledge of the partition coefficients under a wide range of mixture conditions.
A combination of 3D QSAR molecular descriptors and artificial neural networks have been used to predict fluorophilicities, the natural logarithm of the perfluoro methylcyclohexane)/toluene partition coefficients, for a wide range of partially fluorinated organic compounds.
The I3-M11 pareliablyrelidentifiestifies a wide range of marine nematodes, and our data show the need for a strict scrutiny of the obtained sequences, since contamination, nuclear pseudogenes and endosymbionts may confuse nematode species identification by COI sequences.
Such problems are found in a wide range of applications, including artificial intelligence, game theory, graph partitioning, database query optimization, etc.
