Analysis of Clostridium difficile patterns at Thomas Jefferson University Hospital

AIMS: To analyze CDI patterns to TJUH, particularly in Opportunity Units To visually examine the relationship between CDI cases within units Provide data analysis to the CDI working grouphttps://jdc.jefferson.edu/patientsafetyposters/1072/thumbnail.jp

Log-concavity of matroid h-vectors and mixed Eulerian numbers

For any matroid $M$, we compute the Tutte polynomial $T_M(x,y)$ using the mixed intersection numbers of certain tautological classes in the combinatorial Chow ring $A^\bullet(M)$ arising from Grassmannians. Using mixed Hodge-Riemann relations, we deduce a strengthening of the log-concavity of the h-vector of a matroid complex, improving on an old conjecture of Dawson whose proof was announced recently by Ardila, Denham and Huh.Comment: 29 pages, comments welcome

Tautological classes of matroids

We introduce certain torus-equivariant classes on permutohedral varieties which we call "tautological classes of matroids" as a new geometric framework for studying matroids. Using this framework, we unify and extend many recent developments in matroid theory arising from its interaction with algebraic geometry. We achieve this by establishing a Chow-theoretic description and a log-concavity property for a 4-variable transformation of the Tutte polynomial, and by establishing an exceptional Hirzebruch-Riemann-Roch-type formula for permutohedral varieties that translates between K-theory and Chow theory.Comment: 69 pages; comments welcome. v2: minor edits, addition of subsection 10.

CDP-choline accumulation in breast and colorectal cancer cells treated with a GSK-3-targeting inhibitor

Open via Springer Compact Agreement Funding from the University of Aberdeen Development Trust is gratefully acknowledged. Professor Zanda is gratefully acknowledged for the use of his NMR system.Peer reviewedPublisher PD

Predicting Shortâ Term Remembering as Boundedly Optimal Strategy Choice

It is known that, on average, people adapt their choice of memory strategy to the subjective utility of interaction. What is not known is whether an individual’s choices are boundedly optimal. Two experiments are reported that test the hypothesis that an individual’s decisions about the distribution of remembering between internal and external resources are boundedly optimal where optimality is defined relative to experience, cognitive constraints, and reward. The theory makes predictions that are tested against data, not fitted to it. The experiments use a noâ choice/choice utility learning paradigm where the noâ choice phase is used to elicit a profile of each participant’s performance across the strategy space and the choice phase is used to test predicted choices within this space. They show that the majority of individuals select strategies that are boundedly optimal. Further, individual differences in what people choose to do are successfully predicted by the analysis. Two issues are discussed: (a) the performance of the minority of participants who did not find boundedly optimal adaptations, and (b) the possibility that individuals anticipate what, with practice, will become a bounded optimal strategy, rather than what is boundedly optimal during training.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/133633/1/cogs12271-sup-0001-FigS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/133633/2/cogs12271-sup-0002-FigS2.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/133633/3/cogs12271.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/133633/4/cogs12271_am.pd

In Vivo Fluorescent Labeling of Tumor Cells with the HaloTag® Technology

Many fluorescent sensors are currently available for in vitro bio-physiological microscopic imaging. The ability to label cells in living animals with these fluorescent sensors would help translate some of these assays into in vivo applications. To achieve this goal, the first step is to establish a method for selectively labeling target cells with exogenous fluorophores. Here we tested whether the HaloTag® protein tagging system provides specific labeling of xenograft tumors in living animals. After systemic delivery of fluorophore-conjugated ligands, we performed whole animal planar fluorescent imaging to determine uptake in tag-expressing HCT116 xenografts. Our results demonstrate that HaloTag ligands containing red or near-infrared fluorophores have enhanced tumor uptake and are suitable for non-invasive in vivo imaging. Our proof-of-concept results establish feasibility for using HaloTag technology for bio-physiological imaging in living animals