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This requires a research agenda that faces the complex interactions, operating at multiple levels, controlling the variability in the yield of chlorophyll per unit nitrogen over time.
Trends in the yield of Chla per unit nitrogen over time results in a bias in the prediction of Chla concentration as the intercept of the relationship between Chla and TN concentration shifts over time.
Some models of sputtering and photochemical escape of nitrogen to space suggest that exchange with surface/interior reservoirs is needed to buffer the nitrogen against excessive fractionation due to escape [ Jakosky et al., 1994; Zent et al., 1994], leading to a loss of ∼90%% of atmospheric nitrogen over time [ Jakosky and Phillips, 2001].
Whereas the trajectories of individual ecosystems in Chla TN plots appear idiosyncratic, the coherent trend in the residuals and the general increase in the yield of Chla per unit nitrogen over time indicate that there is a common, underlying shift in ecosystem baselines affecting the behavior of individual ecosystems, rendering the relationship between Chla and TN dynamic over time.
After having established that, it is possible to detect a defined percentage of antigen-specific T cells when spiked into autologous PBMC within acceptable limits we set out to test the stability of standard samples stored in liquid nitrogen over time.
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Grass pasture rundown results from a depleted store of soil mineral nitrogen (N) over time.
Instead of measuring water quality, which provides a snapshot of nitrogen at one point in space, I use the corals themselves to integrate the record of nitrogen inputs over time.
Spreading nitrogen input over time (half at sowing and half at the 6-leaf stage) lowered yields slightly compared to a single input at the 6-leaf stage but also did not affect the yield enhancing effect of A. lipoferum CRT1.
We also show that the chlorophyll a versus nitrogen relationships over time constitute convoluted trajectories rather than simple unique relationships.
We incorporate carbon into our bodies through the plants we eat, and nitrogen through eating proteins like beans or meat, so variants of these elements reveal what we have eaten over time.
"People change over time.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com