@article{ma_geng_chan_schwartz_coombs_2020, title={A temperature-dependent multilayer model for direct current carrying HTS coated-conductors under perpendicular AC magnetic fields}, volume={33}, ISSN={["1361-6668"]}, DOI={10.1088/1361-6668/ab6fe9}, abstractNote={Abstract}, number={4}, journal={SUPERCONDUCTOR SCIENCE & TECHNOLOGY}, author={Ma, Jun and Geng, Jianzhao and Chan, Wan Kan and Schwartz, Justin and Coombs, Tim}, year={2020}, month={Apr} }
 @article{wise_hammel_herkert_ma_motsinger-reif_stapleton_breen_2020, title={Comparative Exposure Assessment Using Silicone Passive Samplers Indicates That Domestic Dogs Are Sentinels To Support Human Health Research}, volume={54}, ISSN={["1520-5851"]}, DOI={10.1021/acs.est.9b06605}, abstractNote={Silicone wristbands are promising passive samplers to support epidemiology studies in characterizing exposure to organic contaminants; however, investigating associated health risks remains challenging due to the latency period for many chronic diseases that take years to manifest. Dogs provide valuable insights as sentinels for exposure-related human disease because they share similar exposures in the home, have shorter lifespans, share many clinical/biological features, and have closely related genomes. Here, we evaluated exposures among pet dogs and their owners using silicone dog tags and wristbands to determine if contaminant levels were correlated with validated biomarkers. Significant correlations between measures on dog tags and wristbands were observed (rs = 0.38-0.90; p <0.05). Correlations with urinary biomarkers were often stronger in dog tags compared to human wristbands (rs = 0.50-0.71; p <0.01) for several organophosphate esters. This supports the value of using silicone bands with dogs to investigate health impacts on humans from shared exposures.}, number={12}, journal={ENVIRONMENTAL SCIENCE & TECHNOLOGY}, author={Wise, Catherine F. and Hammel, Stephanie C. and Herkert, Nicholas and Ma, Jun and Motsinger-Reif, Alison and Stapleton, Heather M. and Breen, Matthew}, year={2020}, month={Jun}, pages={7409–7419} }