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The proposed dual IGC isotope technique, taking into account the abovementioned non-root derived inputs seems to be a promising and reliable method to estimate root-derived C input to the soil in terrestrial ecosystems.
These prediction techniques leverage various parameters, metrics, and derived inputs.
Designing two weights based on these inputs, we produce an adjusted illumination by fusing the derived inputs with the corresponding weights in a multi-scale fashion.
Based on the implementation of our derivation, the validation of our formulated results is succeeded in our previous studies [27, 31, 32]; the elastic strain is well calculated utilizing our derived inputs.
The application of this new dual IGC isotopic technique has shown that the traditional IGC isotopic technique can lead to a significant overestimation (60% in the present study) of root C input to the soil as it doesn't take into account changes in the soil C isotopic signature due to factors other than root derived inputs.
Previous studies highlighted the relevance of mere biomass effects, suggesting that soil biota profit from elevated quantity of plant derived inputs [11], [52] which increase with plant diversity [7], [59], [60].
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Blood sampler derived input function.
Input functions were derived using on-line arterial blood sampling (blood sampler derived input function (BSIF)).
The derived input estimator is optimal in terms of the mean square error (MSE) criterion.
An image derived input function (IDIF) gained from the dynamic PET images may be a non-invasive alternative.
The use of an arterial line (blood sampler derived input function (BSIF) to acquire an input function is the gold standard for dynamic data analysis of cerebral studies, but it is an invasive procedure.
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