High strength preloadable bolts are key components influencing strength, stiffness and ductility of beam-to-column joints.
We used mate choice experiments and gene expression analysis of female Drosophila melanogaster to examine three key components influencing speciation.
Results confirm that the correlation coefficient of the estimated TEC from the linear model TEC and the observed GPS-TEC is around 93%. Solar activity is the key component that influences ionospheric daily averaged TEC while periodic component reveals the seasonal dependency of TEC.
Key components that influence corporate giving priorities are enhancing corporate image, increasing brand recognition, introducing new products into the market, giving back to communities where they have a presence and, also, identifying a niche [ 13].
Therefore, consideration of need (prevalence, baseline risk or health status), setting (e.g. availability of resources) and modifying factors (factors that modify translation of recommendation into practice such as microbiological resistance patterns) can be key components that influence the strength of a recommendation and should be specified in recommendations formulated by the WHO [ 33].
A key component of American influence in Asia is our role in ensuring safe passage of energy supplies for all countries.
This comparison undoubtedly establishes that the energy of the incoming photon, as opposed to the total dose delivered, is the key component of the electromagnetic radiation influencing the fate of the cell.
We cannot yet predict whether prokaryotes will exacerbate or attenuate the magnitude of climate change on marine ecosystems, but they are expected to be a key component that is able to influence the oceans' feedback on climate change.
The Episodic Disability Framework considers the variable nature of disability, acknowledges uncertainty as a key component, describes contextual factors that influence experiences of disability, and considers life events that may initiate a major or momentous episode.
A unified framework is presented in this paper to show how GP can be applied to design production scheduling heuristics and the key components that can influence the performance of GPHHs for these tasks.
