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To improve our knowledge of the role of soil C resources in regulating Rs responses to N inputs, we established a situ field experiment with three levels of N addition (0, 50, and 100 kg N ha−1 yr−1) and two levels of glucose (G) addition (0 and 480 kg C ha−1 yr−1) to determine the Rs dynamics in a temperate semiarid grassland in China.
We found that approximately one-third of all fusiform-face area (FFA) voxels displayed RE responses while two-thirds exhibited RS responses.
To achieve this, they calibrated the RS responses to known masses of a commercially available calibration material that displayed similar RS properties to atmospheric EC (see Figs. 2 and 3).
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Altogether, our findings verify that soil C availability is an important driver affecting the Rs response to N addition.
The results showed that among the older participants, R responses decreased, but K responses did not.
This paper proposes a class of optimal design criteria for prediction in linear regression models with r responses based on the volume of the rectangular confidence region, termed RrL-optimality.
R responses were greater for emotional stimuli than neutral stimuli; P<0.001 (Table 1).
For the purposes of this example, we are interested in whether the agent can distinguish between green states requiring "L" vs. "R" responses (a similar analysis is possible for cyan states).
Additionally, the number of ALSFRS-R responses restricts the power of correlations to detect changes below magnitudes of r = 0.2.
Prevalence of common mental disorders, computed from an algorithm that generates ICD-10 diagnoses from CIS-R responses.
The proportion of correct, incorrect and "don't know" source judgments for R responses are shown in Table 2.
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