Abstract: This invention relates to propylene polymers comprising at least 50 mol % propylene, said polymers having: a) a melt flow rate (MFR, ASTM 1238, 230° C., 2.16 kg) of 10 dg/min to 25 dg/min; b) a Dimensionless Stress Ratio/Loss Tangent Index R2 at 190° C. from 1.5 to 28; c) an onset temperature of crystallization under flow, Tc,rheol (as determined by SAOS rheology, 190° C., 1° C./min, where said polymer has 0 wt % nucleating agent present), of at least 131° C.; d) an average meso run length determined by 13C NMR of at least 90 or higher; and e) optionally, a loss tangent, tan ?, (defined by Eq. (2)) at an angular frequency of 0.1 rad/s at 190° C. from 14 to 70.

Abstract: A method and system for detecting and monitoring discrete interactions within a physical social network is provided. The system and method detects attributes associated with human communication activities and distinguishes them from other concurrently detected activities in order to identify discrete interactions that are in turn transmitted across a network having a limited data rate. Generally, in its simplest form a plurality of wireless sensors are deployed across a cross-section of people of interest. Once deployed, the wireless sensors establish an ad-hoc network that transmits a small amount of data relating to the each of the discrete individuals bearing a sensor. The collected data is analyzed through the application of rules set forth in a Bayesian belief network to make a determination regarding the probability that an actual interaction between two individuals bearing sensors in fact occurred.