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Although the visualization of social networks has been widely utilized by scholars [60, 64, 141, 147, 148], few studies have explored the time dimension in order to observe how networks evolve longitudinally [3, 89].
Another study explored the time frame of exposure to hyperoxemia after cardiac arrest [ 93].
We explored the time trend in preterm delivery by using a smoothing spline on monthly rates with 10 degrees of freedom in the SAS GAM procedure.
Our study explored the time to virologic failure, drug resistance, immunologic failure and death in a remote rural area before the availability of second-line cART regimens.
Because we restricted this analysis to an a-priori-chosen time window, we next explored the time course of this effect, which is illustrated in the line plot in Fig. 2d.
Table 6 presents the results from the second model of I-ADL functioning, which explored the time trend and the association between cognitive functioning and I-ADL functioning assessed simultaneously.
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Here, we systematically explored the time-dependent nanoscale plasticity of single-crystal ZnO nanorods and its size effects.
Although Voltzinger & Androsov explored the time-dependent aspects of this problem further than Nof & Paldor did, we find that a realistic reef may differ significantly from their idealized ridge of uniform depth.
In addition, we concomitantly explored the time-related preservation of tyrosine phosphorylated proteins, considered to be crucial in cancer development and directly implicated on target-directed therapeutics.
We explored the time-resolved transcriptional response induced by exposure to the environmental pollutant B[a]P and mediated by the transcription factor Ahr.
Combining baseline characteristics and the longitudinal measurements obtained over 1 year, we explored the time-varying effects of individual risk factors on DAS4v in a univariate model (table 5).
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