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Full-Text Articles in Medicine and Health
Defining The Boundaries Of Normal Thrombin Generation: Investigations Into Hemostasis, Christopher M. Danforth, Thomas Orfeo, Stephen J. Everse, Kenneth G. Mann, Kathleen E. Brummel-Ziedins
Defining The Boundaries Of Normal Thrombin Generation: Investigations Into Hemostasis, Christopher M. Danforth, Thomas Orfeo, Stephen J. Everse, Kenneth G. Mann, Kathleen E. Brummel-Ziedins
College of Engineering and Mathematical Sciences Faculty Publications
In terms of its soluble precursors, the coagulation proteome varies quantitatively among apparently healthy individuals. The significance of this variability remains obscure, in part because it is the backdrop against which the hemostatic consequences of more dramatic composition differences are studied. In this study we have defined the consequences of normal range variation of components of the coagulation proteome by using a mechanism-based computational approach that translates coagulation factor concentration data into a representation of an individual's thrombin generation potential. A novel graphical method is used to integrate standard measures that characterize thrombin generation in both empirical and computational models …
Positivity Of The English Language, Isabel M. Kloumann, Christopher M. Danforth, Kameron Decker Harris, Catherine A. Bliss, Peter Sheridan Dodds
Positivity Of The English Language, Isabel M. Kloumann, Christopher M. Danforth, Kameron Decker Harris, Catherine A. Bliss, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
Over the last million years, human language has emerged and evolved as a fundamental instrument of social communication and semiotic representation. People use language in part to convey emotional information, leading to the central and contingent questions: (1) What is the emotional spectrum of natural language? and (2) Are natural languages neutrally, positively, or negatively biased? Here, we report that the human-perceived positivity of over 10,000 of the most frequently used English words exhibits a clear positive bias. More deeply, we characterize and quantify distributions of word positivity for four large and distinct corpora, demonstrating that their form is broadly …