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This work demonstrates the development and use of a non-linear compartment model to quantitate the in vivo characteristics of an administered radiolabeled antibody in a pre-clinical murine cancer therapy trial as a function of the antibody dose.
Fig. 4A displays the raw average swimming speeds during the whole trial as a function of the genotype of animals under non-aversive circumstances (25°C).
Results of the 25 real-time feedback sessions are provided in Figure 7. Panels A C indicate hit rate, mean movement time, and mean endpoint error (measured as the difference between the formant space position at the end of the trial and the target formant position for that trial) as a function of block number, averaged across all 25 sessions.
Because we did not simulate the responses in each trial as a function of time, the outputs from the model are scalars on each trial.
The value at the next to last timestep in a trial, as a function of trial number (with initial values taken to be zero), is where r(t) is the reward at the end of trial t.
(A – D ) Estimates of the log prior-odds on a given trial as a function of belief on the previous trial (compare to Figure 1B ) computed for each experimental block, grouped by objective H, as indicated in the legend below panel A. Solid lines are across-block means, and dashed lines are sem.
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Examination of DLPFC activity to Go trials as a function of block type (SART EF, SART EM, Control (C)) revealed a striking differential pattern of recruitment as a function of trait anxiety, F 2, 30) = 7.44, P < 0.005.
Figures 10(a), 10(b), 10(c), and 10(d) are plots of the estimated bandwidth in average of 5 TFC trials as a function of traffic generation rate when, 2, 5.5, and 11 Mbps for, and, respectively.
Growth, survival, biomass production and body composition of striped grey mullet (Mugil cephalus L). fingerlings were evaluated in two pond experimental trials as a function of two stocking densities and three management systems in brackishwater pond rearing.
Resting HR was similar prior to treatment (trial: p = 0.49, η p 2 = 0.08) but following treatment differed between trials as a function of time (trial × time: p = 0.03, η p 2 = 0.34; Table 1) such that the increase in HR was more pronounced during NIC-2 (6 ± 7 beats · min−1) and NIC-4 (7 ± 9 beats · min−1) compared to PLA.
Here we compare three GLMs in their efficiency for estimating average and individual Betas across trials as a function of trial variability, scan noise and Stimulus Onset Asynchrony (SOA): "Least Squares All" (LSA), "Least Squares Separate" (LSS) and "Least Squares Unitary" (LSU).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com