Eric M. Hanson

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Many data sets can be viewed as a noisy sampling of an underlying space, and tools from topological data analysis can characterize this structure for the purpose of knowledge discovery. One such tool is persistent homology, which provides a multiscale description of the homological features within a data set. A useful representation of this homological(More)
Given a polynomial system f : C → C, the methods of numerical algebraic geometry produce numerical approximations of the isolated solutions of f(z) = 0, as well as points on any positive-dimensional components of the solution set, V(f). One of the most recent advances in this field is regeneration, an equation-by-equation solver that is often more efficient(More)
A 19-year-old male military recruit developed erythema multiforme 20 days after receiving a triad of vaccinations: smallpox (vaccinia virus), anthrax, and tetanus. Over the course of a few days, the erythema multiforme evolved into Stevens-Johnson syndrome, associated with widespread bullae, stomatitis, conjunctivitis, and fever. After 7 days of(More)
Many data sets can be viewed as a noisy sampling of an underlying topological space. A suite of tools in topological data analysis allows one to exploit this structure for the purpose of knowledge discovery. One such tool is persistent homology which provides a multiscale description of the homological features within a data set. A useful representation of(More)
Acquisitions functions remain operationally crucial in providing access to paid information resources, but data formats and workflows utilized within library acquisitions remain primarily within the traditional integrated library system (ILS). As libraries have evolved to use distributed systems to manage information resources, so too must acquisitions(More)
Persistent homology is a relatively new tool from topological data analysis that has transformed, for many, the way data sets (and the information contained in those sets) are viewed. It is derived directly from techniques in computational homology but has the added feature that it is able to capture structure at multiple scales. One way that this(More)
PURPOSE The objective of this study was to examine the effect of a structured after-school program housed in a large county parks system on participant health and wellness outcomes. DESIGN Longitudinal cohort study over one school year (fall 2011-spring 2012). SETTING A total of 23 county parks in Florida. SUBJECTS Children ages 5 to 16 (N = 349, 55%(More)
BACKGROUND Children with disabilities are more likely to be overweight or obese and less likely to engage in physical activities versus their peers without disabilities. OBJECTIVE The effect of a structured afterschool program housed in a large county parks system on several obesity-related health outcomes among children with disabilities was examined. (More)
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