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With the experiential turn in Human Computer Interaction (HCI), academics and practitioners broaden their focus from mere task-fulfillment (i.e., the pragmatic) to a holistic view, encompassing universal human needs such as relatedness or popularity (i.e., the hedonic).
Conceptual arguments about uncertainty and controversy that arise in several strategy and organizational literatures apply to factors that arise in the acquisition literature, such as relatedness v. unrelatedness and cost v. revenue synergies.
In addition, Appendix 3 describes why uncertainty and controversy are unlikely to correlate with other factors that might drive M&A evaluation methods, such as relatedness v. unrelatedness and cost v. revenue synergies; this means that our interpretations based on variation in uncertainty and controversy should have only limited bias arising from such omitted variables.
In contrast, as relatedness and competition for resources increase, a higher level of persistence is favoured due to its indirect benefits.
Following their alignment [21], rDNA sequences were clustered into operational taxonomic units (OTUs) of approximately species-level taxonomic rank, defined as relatedness groups with mean pairwise distances of <3%.
FIS estimates were low and not significant, as well as relatedness coefficients (Table 1).
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We have not tested the effects of these phylogenetic incongruities in the basal branches of the trees on community assembly parameters, such as Net Relatedness Index and Nearest Taxon Index (NRI and N, respectively [4], [11], [21]).
BA 44 revealed an effect of syntactic complexity while inferior portions of the LIFG BAA 47) revealed an effect of relatedness as well as an interaction between complexity and relatedness during the probe phase.
It has similarly allowed us to consider both overall excess relatedness, as well as excess relatedness due only to distant relationships, the key to being able to separate what could be clustering due to shared environment from clustering that appears much more likely to be due to shared genetic factors.
The aim of the studies was to obtain an overview on their potential relatedness as well as to provide data for broader scale studies on swine influenza epidemiology.
Next, we performed mixed linear model (MLM) regression to explicitly account for the cryptic relatedness as well as population stratification (Yu et al. 2006; Atwell et al. 2010).
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