Demographic data used as inputs for the population module were obtained from the Singapore Department of Statistics (SDS) [ 24].
The resident population module shows births, deaths, immigration, and emigration as the four determinants of population change over time.
Time series data of the resident Singapore population from the SDS were used to calibrate the simulation result of the population module.
Table S2 details the results of the non-parametric correlation analyses performed between B and T cell populations and module analyses.
In addition, the architecture specifies a population generator module that generates the initial population of schedules and also trains the schemata learning module.
Each firing is simulated with the MASTER population generation module.
Plants are regarded as populations of modules such as axes and growth units (GUs, i.e. seasonally produced axis segments).
The population genetics module provides wrappers for GENEPOP (Rousset, 2007), coalescent simulation via SIMCOAL2 (Laval and Excoffier, 2004) and selection detection based on a well-evaluated Fst-outlier detection method (Beaumont and Nichols, 1996).
Under the interpretation of plants as meta-populations of modules (e.g. White 1979; Enquist et al. 1998; Kikuzawa 1999), interactions between GUs in plants with dense arrangements of GUs, such as cushion plants, may resemble those between plants in a crowded population.
Student participants were aged 12 to 16, and the module population was 35% female, 9% African American, 3% American Indian or Native Alaskan, 12% Asian or Pacific American, and 9% Latino or Hispanic American.
