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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

The Global Geek: Language Training For It Students’ Study Abroad In Austria And Germany, Gwyneth E. Cliver, Deepak Khazanchi Oct 2011

The Global Geek: Language Training For It Students’ Study Abroad In Austria And Germany, Gwyneth E. Cliver, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

The Modern Language Association’s (MLA) urgent appeal for the restructuring of the undergraduate language curriculum, “Foreign Languages and Higher Education: New Structures for a Changed World,” emphasizes a need for language departments to enrich their upper-division course offerings beyond the traditional literary studies model in order to attract and retain broader interest in language learning among students with diverse academic interests and needs. Citing the National Science Foundation’s 2003 Survey of College Graduates, it stresses that only 6.1% of undergraduates whose primary major is a foreign language later achieve doctorate degrees and concludes that departments should provide upper-division language courses …


A Novel Correlation Networks Approach For The Identification Of Gene Targets, Kathryn Dempsey Cooper, Stephen Bonasera, Dhundy Raj Bastola, Hesham Ali Jan 2011

A Novel Correlation Networks Approach For The Identification Of Gene Targets, Kathryn Dempsey Cooper, Stephen Bonasera, Dhundy Raj Bastola, Hesham Ali

Interdisciplinary Informatics Faculty Proceedings & Presentations

Correlation networks are emerging as a powerful tool for modeling temporal mechanisms within the cell. Particularly useful in examining coexpression within microarray data, studies have determined that correlation networks follow a power law degree distribution and thus manifest properties such as the existence of “hub” nodes and semicliques that potentially correspond to critical cellular structures. Difficulty lies in filtering coincidental relationships from causative structures in these large, noise-heavy networks. As such, computational expenses and algorithm availability limit accurate comparison, making it difficult to identify changes between networks. In this vein, we present our work identifying temporal relationships from microarray data …