The ligand-activated transcription factor aryl hydrocarbon receptor (AHR) participates in the differentiation of FoxP3(+) T(reg), Tr1 cells, and IL-17-producing T cells (Th17). Most of our understanding on the role of AHR on the FoxP3(+) T(reg) compartment results from studies using the toxic synthetic chemical 2,3,7,8-tetrachlorodibenzo-p-dioxin. Thus, the physiological relevance of AHR signal...

The Bay of Bengal, subjected to monsoonal forcing and tropical cyclones, displays a complex field of ocean eddies. On 5 December 2013 a sub-surface vortex or Intrathermocline Eddy (ITE) composed of water characteristic of the Andaman Sea was observed within the thermocline of the western Bay of Bengal. We propose that the ITE was the product of Tropical Cyclone Lehar interaction on 27 November ...

This paper describes a system developed for the transformation of English sentences into a first order logical form representation. The metho dology is centered on the use of a dependency grammar based parser . We demonstrate the suitability of applying a dependency parser based solution to the given task and in turn explain some of the limitations and challenges involved when using such an app...

BACKGROUND AND OBJECTIVES This study compared the performance of family practice residents selected through the National Resident Matching Program (NRMP) with those selected outside the NRMP and that of US medical graduates (USMGs) versus international medical graduates (IMGs). METHODS Surveys were mailed to all 470 US family practice residencies asking Match status and USMG versus IMG status...

OBJECTIVE To investigate the impact of a weekly email based board review course on individual resident performance on the American Board of Pediatrics (ABP) General Pediatrics Certifying Examination for pediatric residents and, specifically, residents with low ABP In-training Examination (ITE) scores. METHODS Weekly board-type questions were emailed to all pediatric residents from 2004-2007. ...

There is intense interest in applying machine learning to problems of causal inference in healthcare, economics, education, and other fields. In particular, individuallevel causal inference has applications such as precision medicine and personalized advertising. We give a new theoretical analysis and family of algorithms for estimating individual treatment effect (ITE) from observational data....