Zohn-Muldoon’s Pulitzer Prize-nominated opera features world-class new music soprano Tony Arnold, renowned tenor Rob Frankenberry, and a roster of musicians from Alia Musica Pittsburgh and the world-touring Eastman BroadBand. UK Guitar Faculty Dieter Hennings joins the ensemble.

Comala, opera de Ricardo Zohn-Muldoon fue nominada a un Premio Pulitzer. La presentación en UK contará con la actuación de Tony Arnold (soprano), Rob Frankenberry (tenor), músicos de Alia Musica Pittsburgh y worldtouring Eartman BroadBand. Dieter Hennings, de la facultad de Guitarra de UK también será parte del show.

Governor Jon Huntsman of Utah, the former US Ambassador to China, will deliver a lecture at UK on Thursday, February 20th, 2014, at 7:30 pm in Memorial Hall. This lecture will address the possibilities and challenges represented by the current US relationship with China. A Q&A period will follow the lecture. Please encourage your students to attend if the topic is relevant to your courses or the workplace for which we are preparing our students.

 

The lecture will be free of charge, and is sponsored by the Office of the President, UK International Center, and the UK Confucius Institute. The lecture title and complete information will be forthcoming in January.

Creating Desires and Configuring Habits: Building the Future of Carbon Forestry in Chiapas, Mexico

Title: Informatics and Modeling Platform for Stable Isotope-Resolve Metabolomics



Abstract: Recent advances in stable isotope-resolved metabolomics (SIRM) are enabling orders-of-magnitude increase in the number of observable metabolic traits (a metabolic phenotype) for a given organism or community of organisms.  Analytical experiments that take only a few minutes to perform can detect stable isotope-labeled variants of thousands of metabolites.  Thus, unique metabolic phenotypes may be observable for almost all significant biological states, biological processes, and perturbations.  Currently, the major bottleneck is the lack of data analysis that can properly organize and interpret this mountain of phenotypic data as highly insightful biochemical and biological information for a wide range of biological research applications.  To address this limitation, we are developing bioinformatic, biostatistical, and systems biochemical tools, implemented in an integrated data analysis platform, that will directly model metabolic networks as complex inverse problems that are optimized and verified by experimental metabolomics data.  This integrated data analysis platform will enable a broad application of SIRM from the discovery of specific metabolic phenotypes representing biological states of interest to a mechanism-based understanding of a wide range of biological processes with particular metabolic phenotypes.