Lyme Disease: Prevention, Recognition & Treatment

Cases of Lyme disease have been steadily rising in Vermont every year. Though the public is becoming more aware of its presence, there is a great deal of misinformation regarding its prevention and treatment.https://scholarworks.uvm.edu/fmclerk/1355/thumbnail.jp

Innovation in incapacity: education, technique, subject

Abstract This essay addresses the question of change as it is expressed in debates on the introduction and use of new digital technologies in contemporary education. It sets out some of the terms of this debate, concerning MOOCs in particular, and puts into question the very conception of change they presume. The essay advocates a distinction between education, which marks the subjective capacity of all for thought, and pedagogy, which, the essay argues, teaches subjective incapacity for all. The case is made that without a formal conception of change MOOCs will only strengthen the contemporary pedagogical project of difference as repetition. In conclusion, the essay attempts to sketch a conception of real change such that a new orientation to the debate is proposed

The Planck SZ Cluster Catalog: Expected X-ray Properties

Surveys based on the Sunyaev-Zel'dovich (SZ) effect provide a fresh view of the galaxy cluster population, one that is complementary to X-ray surveys. To better understand the relation between these two kinds of survey, we construct an empirical cluster model using scaling relations constrained by current X-ray and SZ data. We apply our model to predict the X-ray properties of the Planck SZ Cluster Catalog (PCC) and compare them to existing X-ray cluster catalogs. We find that Planck should significantly extend the depth of the previous all-sky cluster survey, performed in the early 1990s by the ROSAT satellite, and should be particularly effective at finding hot, massive clusters (T > 6 keV) out to redshift unity. These are rare objects, and our findings suggest that Planck could increase the observational sample at z > 0.6 by an order of magnitude. This would open the way for detailed studies of massive clusters out to these higher redshifts. Specifically, we find that the majority of newly-detected Planck clusters should have X-ray fluxes 10^{-13} ergs/s/cm^2 < f_X[0.5-2 keV] < 10^{-12} ergs/s/cm^2, i.e., distributed over the decade in flux just below the ROSAT All Sky Survey limit. This is sufficiently bright for extensive X-ray follow-up campaigns. Once Planck finds these objects, XMM-Newton and \textit{Chandra} could measure temperatures to 10% for a sample of ~ 100 clusters in the range 0.5 < z < 1, a valuable increase in the number of massive clusters studied over this range.Comment: 8 pages, 7 figures submitted to A&A; accepted 29 May 201

Analysis of a Precambrian resonance-stabilized day length

During the Precambrian era, Earth's decelerating rotation would have passed a 21-hour period that would have been resonant with the semidiurnal atmospheric thermal tide. Near this point, the atmospheric torque would have been maximized, being comparable in magnitude but opposite in direction to the lunar torque, halting Earth's rotational deceleration, maintaining a constant day length, as detailed by Zahnle and Walker (1987). We develop a computational model to determine necessary conditions for formation and breakage of this resonant effect. Our simulations show the resonance to be resilient to atmospheric thermal noise but suggest a sudden atmospheric temperature increase like the deglaciation period following a possible "snowball Earth" near the end of the Precambrian would break this resonance; the Marinoan and Sturtian glaciations seem the most likely candidates for this event. Our model provides a simulated day length over time that resembles existing paleorotational data, though further data is needed to verify this hypothesis.Comment: 7 pages, 5 figures. Accepted for publication in Geophysical Research Letters on 10 May 201

Spectrally-normalized margin bounds for neural networks

This paper presents a margin-based multiclass generalization bound for neural networks that scales with their margin-normalized "spectral complexity": their Lipschitz constant, meaning the product of the spectral norms of the weight matrices, times a certain correction factor. This bound is empirically investigated for a standard AlexNet network trained with SGD on the mnist and cifar10 datasets, with both original and random labels; the bound, the Lipschitz constants, and the excess risks are all in direct correlation, suggesting both that SGD selects predictors whose complexity scales with the difficulty of the learning task, and secondly that the presented bound is sensitive to this complexity.Comment: Comparison to arXiv v1: 1-norm in main bound refined to (2,1)-group-norm. Comparison to NIPS camera ready: typo fixe