Our work at the National Center for Atmospheric Research includes processing data from research meteorological radars. We evaluate and tune signalprocessing algorithms that process as much as 1500 megabytes of data per hour in real-time. In the past year, we have designed and implemented the Python Environment for Radar Processing (PERP) using Numeric Python to aid in our research. Because Pyth...

Memory for numbers improves with age and experience. We tested the hypothesis that one source of this improvement is a logarithmic-to-linear shift in children’s representations of numeric magnitude. In Experiment 1, we found that linearity of representations improved with age and that the more linear children’s magnitude representations were, the more closely their memory of the numbers approxi...

The ability to understand and use numeric information in healthcare clinical research is a critical component of informed decision-making for patients study participants. Health numeracy levels the general population, however, tend be quite low as such, responsibility falls on communicators ensure that being shared designed facilitate recipient comprehension support their autonomy. Here, we int...

This study illustrates the use of an Association Rule General Analytic System (ARGAS) for analyzing non-numeric data. Previous research by Parente, Finley and Megalis (2021) showed how ARGAS approach could be used to test hypotheses in conventional experimental designs. can exploratory settings such as single-case research, assessing organization multi-trial learning experiments, analysis socia...