We see striking and largely synchronous chronometric similarities between
the Bayesian age modeling for the end of the LMP at Mezmaiskaya and chronometric data from Ortvale Klde for the end of the LMP in the southern Caucasus.
Here we take the age of 75.0 ± 0.9 ka B.P., which was calculated using the currently best constrained 40Ar / 39Ar optimization model (4, 31) as the most robust age for the YTT, and import it into a revised
Bayesian age model for the Lake Malawi central basin core, MAL05 - 1C (Fig. 4).
Not exact matches
A revised
Bayesian age - depth
model for the upper 30 m of MAL05 - 1C based on 15 radiocarbon dates (24) and the
age of the YTT: 75 ± 0.9 ka B.P. (4).
The revised
age model for the top 30 m of MAL05 - 1C (Fig. 4) was generated using 15 radiocarbon
ages (7) and the latest high - precision YTT
age estimate of 75.0 ± 0.9 ka (4) in a
Bayesian P - Sequence depositional
model (37), run in OxCal version 4.1 (38) with outlier analysis (39) and interpolation at 0.5 m intervals.
Univariate multilevel SDE
models, estimated in a
Bayesian framework, were fit to 21 days of ecological momentary assessments of affect valence and arousal (average 6.93 / day, SD = 1.89) obtained from 150 adults (
age 18 — 89 years)-- specifically capturing temporal dynamics of individuals» core affect in terms of attractor point, reactivity to biopsychosocial (BPS) inputs, and attractor strength.