Better, Faster, and Less Biased Machine Learning: Electromechanical Switching in Ferroelectric Thin Films.

Machine-learning techniques are more and more often applied to the analysis of complex behaviors in materials research. Frequently used to identify fundamental behaviors within large and multidimensional datasets, these techniques are strictly based on mathematical models. Thus, without inherent physical or chemical meaning or constraints, they are prone to biased interpretation.

Columbus Air Force Base medication profile intervention practice innovation.

Objective: To determine whether community pharmacist-initiated interventions containing a recommendation to adjust prescribed medication therapy and delivered via fax are viewed as helpful by prescribers and to what extent prescribers accept those recommendations.

Design: Cross-sectional.

Setting: Columbus Air Force Base (Columbus, MS) during a 3-month period in August through October 2007.