This paper explores firms' approaches and relationships to data, determining whether organizations are data-enabled, data-informed or data driven, or a hybrid, and how their approach can have an enormous influence on outcomes, especially where they pertain to sustainability.
Architects working with city planners and developers in the shaping of urban environments typically consider multiple factors in isolation, from urban design and socio-economic relationships to data analyses.
The placement of this information in the file header, along with the publication citation and PubMed identifier absolves the need for additional BIR-TAB format files that describe investigator and metadata relationships to data files as they can be found in the same file header within each data file.
We attempted to measure NRG1 expression using western blotting with three different NRG1 antibodies, but results were poor, with multiple bands observed that were thought to be non-specific and showed no obvious relationship to mRNA data (data not shown).
Applying this relationship to our data, we find strong evidence that Airbnb has increased long-term rents in New York City.
In this review, recent advances in diagnostic approaches are considered in relationship to baseline data from a large multinational study designed to better characterize and treat this clinical phenotype.
The results demonstrate that the design and location of a graph's legend and its spatial relationship to the data area are extremely important in determining a graph's usability.
All cages gave positive results for H. hepaticus in feces, and the number of mice per cage had no obvious relationship to outcomes (data not shown).
None of the authors owns stocks and is employed by or sits on the board of SIGVARIS AG or any other company with competing financial, professional, nor personal interests in relationship to the data presented here.
In PLSR, the latent variables are constructed whilst accounting for their relationship to the data y, i.e. the latent variables are the combinations of the X variables that maximise the covariance with y.
