Sentence examples for inferring current from inspiring English sources

A number of methods for inferring current and past population sizes from genetic data have been developed since JFC Kingman introduced the n-coalescent in 1982.

The latter term may be used to refer to a process of inferring current events; for example, in the predictive coding framework, the brain is usually tasked with predicting current sensations, given their causes only in generalized predictive coding does the task potentially cover both current and future sensations (Friston et al. 2011).

Compared to aqueous eDNA, sedimentary eDNA could provide a more abundant and longer-lasting source of genetic material for inferring current-or-past site occupancy by aquatic macrofauna, particularly benthic species.

Also, baseline diversity of potential primary (birds) and secondary (ants) dispersal vectors were registered to infer current plant animal interactions.

Accordingly, some have inferred current evidence for Aβ oligomerisation may simply be an artifactual consequence of detection techniques such as sodium dodecyl sulphate (SDS) polyacrylamide gel electrophoresis (PAGE) [ 107].

Molecular data were obtained from 14 P. arguta populations to infer current patterns of molecular structure and diversity in relation to past (Last Interglacial and Last Glacial Maximum) and present distributions based on ecological niche modelling (ENM).

Changes in relative Ne over time represent a valuable tool for inferring the current and past epidemiology of infectious diseases.

However, in contrast to the bulk of studies on this topic, studies using marine phytoplankton tend to focus on determining the evolutionary potential of populations, rather than inferring whether current populations have evolved in response to global change already.

The 3-D current circuit suggested by Bostrom (1974) cannot easily be proven in its entirety, so that it is necessary to infer the current configuration by combining ionospheric (ground-based observations) and the field-aligned currents and the equatorial currents (based on satellite observations) [Akasofu, 1992].

However in the HMM, only the current observation and the previous hidden state are employed to infer the current hidden state, which makes it easily susceptible to false detections due to strong noisy data.

Step-and-heading approach infers the current pedestrian position sequentially by adding relative displacement to the position of previous step.