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In a parallel research programme, the author's group systematically characterised the physicochemical properties of palladium nanoparticles as a function of size over non-reducible supports to quantify structure function relations in allylic alcohol selox [133, 134, 135, 136, 137, 158, 159].
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Its primary mission is to support efforts to quantify and elucidate the complex causal mechanisms leading to maltreatment.
Participants indicated that the risk score instrument was used as an objective support system to quantify their risk assessment, to confirm their assumptions regarding a patient's risk and/or to justify their chosen treatment plan.
In this article, we describe a sequence-based method that also uses support vector regression to quantify the RD-sequence relationship.
In this work, we introduce an efficient approach that uses support vector regression to quantify the relationship between RD and protein sequence.
Altogether, these experiments support the possibility to quantify mitotic catastrophe by videomicroscopy coupled to automated imaging.
Importantly, the use of highly supported bipartitions allows one to quantify a given internode's IC from only the subset of bipartitions that highly support or conflict with that internode (Salichos and Rokas 2013; Salichos et al. 2014).
Furthermore, a number of linear time-history analyses are performed, with and without uniform support excitation, in order to quantify its influence on the bridge performance.
In this section, we employed the support vector regression approach to quantify the sequence-RD relationship and predict the RD values based on primary sequences information only.
Much attention has been paid to the problem of estimating accurate phylogenies from DNA and amino acid sequence data, including the development of statistical methods to quantify support for each bifurcation in a tree.
We first removed all associations found in public databases (Drugs.com and DrugBank), since they represent comprehensive repositories of known drug information, and then used the other sources to quantify supporting evidence for the remaining associations.
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