Traffic assignment. Predictive curves and their application, including machine procedures developed in the Detroit traffic study.

Cover title.

Assignment to catastrophe.

v.1. Prelude to Dunkirk, July 1939-May 1940.-v.2. The fall ofFrance, June 1940.

The Log of the Lab

Mode of access: Internet.

Foreign Service assignment notebook /

Mode of access: Internet.

Management reform : status of agency reinvention lab efforts : report to the Senate Committee on Governmental Affairs and the House Committee on Government Reform and Oversight /

"GAO/GGD-96-69."

Officer Extension Course, Assignment Booklet

Mode of access: Internet.

Officer Correspondence Course, Assignment Booklet

Mode of access: Internet.

Enlisted Correspondence Course, Assignment Booklet

"Prepared by the U.S. Navy Correspondence Course Research Project, University of Chicago Administered by the U.S. Naval Correspondence Course Center"

Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power

Genetic assignment methods use genotype likelihoods to draw inference about where individuals were or were not born, potentially allowing direct, real-time estimates of dispersal. We used simulated data sets to test the power and accuracy of Monte Carlo resampling methods in generating statistical thresholds for identifying F-0 immigrants in populations with ongoing gene flow, and hence for providing direct, real-time estimates of migration rates. The identification of accurate critical values required that resampling methods preserved the linkage disequilibrium deriving from recent generations of immigrants and reflected the sampling variance present in the data set being analysed. A novel Monte Carlo resampling method taking into account these aspects was proposed and its efficiency was evaluated. Power and error were relatively insensitive to the frequency assumed for missing alleles. Power to identify F-0 immigrants was improved by using large sample size (up to about 50 individuals) and by sampling all populations from which migrants may have originated. A combination of plotting genotype likelihoods and calculating mean genotype likelihood ratios (D-LR) appeared to be an effective way to predict whether F-0 immigrants could be identified for a particular pair of populations using a given set of markers.

ATC-lab: An air traffic control simulator for the laboratory

Air Traffic Control Laboratory Simulator (ATC-lab) is a new low- and medium-fidelity task environment that simulates air traffic control. ATC-lab allows the researcher to study human performance of tasks under tightly controlled experimental conditions in a dynamic, spatial environment. The researcher can create standardized air traffic scenarios by manipulating a wide variety of parameters. These include temporal and spatial variables. There are two main versions of ATC-lab. The medium-fidelity simulator provides a simplified version of en route air traffic control, requiring participants to visually search a screen and both recognize and resolve conflicts so that adequate separation is maintained between all aircraft. The low-fidelity simulator presents pairs of aircraft in isolation, controlling the participant's focus of attention, which provides a more systematic measurement of conflict recognition and resolution performance. Preliminary studies have demonstrated that ATC-lab is a flexible tool for applied cognition research.