46 research outputs found
Social vulnerability and Lyme disease incidence: a regional analysis of the United States, 2000-2014
Background: Lyme disease (LD), which is highly preventable communicable illness, is the most commonly reported vector borne disease in the USA. The Social Vulnerability Index (SoVI) is a county level measure of SES and vulnerability to environmental hazards or disease outbreaks, but has not yet been used in the study of LD. The purpose of this study was to determine if a relationship existed between the SoVI and LD incidence at the national level and regional division level in the United States between 2000 and 2014.
Methods: County level LD data were downloaded from the CDC. County level SoVI were downloaded from the HVRI at the University of South Carolina and the CDC. Data were sorted into regional divisions as per the US Census Bureau and condense into three time intervals, 2000-2004, 2005-2009, and 2010-2014. QGIS was utilized to visually represent the data. Logarithmic OLS regression models were computed to determine the predictive power of the SoVI in LD incidence rates.
Results: LD incidence was greatest in the Northeastern and upper Midwestern regions of the USA. The results of the regression analyses showed that SoVI exhibited a significant quadratic relationship with LD incidence rates at the national level.
Conclusion: Our results showed that counties with the highest and lowest social vulnerability were at greatest risk for LD. The SoVI may be a useful risk assessment tool for public health practitioners within the context of LD control
VikingBot: The StarCraft Artificial Intelligence
VikingBot is an automated AI that plays StarCraft by using a combination of machine learning and artificial intelligence. High level strategies are planned using the Brown-UMBC Reinforcement Learning and Planning (BURLAP), library which implements planning algorithms and provides interfaces for defining a domain and models of that domain for planning. For the planning, we used the BURLAP implementation of the sparse sampling algorithm because the time complexity is independent of the size of the state space, and we have to plan quickly in real time. SARSA reinforcement learning is used for a machine learning model that controls combat units. Various other helping functions are distributed to agent classes that aid in the AI in the different areas of the game. These agents are categorized as strategy, economy, combat, and intelligence. By using these parts in tandem VikingBot aims to use less training resources and still be able to play games at a high enough level to beat a human player
Strings, Black Holes and the Extreme Energy Cosmic Rays
In a large class of models the string excitation and black hole pictures
invoked as an explanation of trans-GZK cosmic ray events are equivalent. Single
particle inclusive distributions are thermal at the Hagedorn temperature. The
hadron multiplicities are reminiscent of multiplicities in heavy nucleus
initiated interactions.Comment: 10 pages, no figure
Cosmic Rays and Large Extra Dimensions
We have proposed that the cosmic ray spectrum "knee", the steepening of the
cosmic ray spectrum at energy E \gsim 10^{15.5} eV, is due to "new physics",
namely new interactions at TeV cm energies which produce particles undetected
by the experimental apparatus. In this letter we examine specifically the
possibility that this interaction is low scale gravity. We consider that the
graviton propagates, besides the usual four dimensions, into an additional
, compactified, large dimensions and we estimate the graviton
production in collisions in the high energy approximation where graviton
emission is factorized. We find that the cross section for graviton production
rises as fast as , where is the fundamental
scale of gravity in dimensions, and that the distribution of
radiating a fraction of the initial particle's energy into gravitational
energy (which goes undetected) behaves as . The missing
energy leads to an underestimate of the true energy and generates a break in
the {\sl inferred} cosmic ray spectrum (the "kne"). By fitting the cosmic ray
spectrum data we deduce that the favorite values for the parameters of the
theory are TeV and .Comment: 8 pages, 1 figur
p-Branes and the GZK Paradox
In spacetimes with asymmetric extra dimensions, cosmic neutrino interactions
may be extraordinarily enhanced by p-brane production. Brane formation and
decay may then initiate showers deep in the Earth's atmosphere at rates far
above the standard model rate. We explore the p-brane discovery potential of
cosmic ray experiments. The absence of deeply penetrating showers at AGASA
already provides multi-TeV bounds on the fundamental Planck scale that
significantly exceed those obtained from black hole production in symmetric
compactification scenarios. This sensitivity will be further enhanced at the
Auger Observatory. We also examine the possibility that p-brane formation
resolves the GZK paradox. For flat compactifications, astrophysical bounds
exclude this explanation. For warped scenarios, a solution could be consistent
with the absence of deep showers only for extra dimensions with fine-tuned
sizes well below the fundamental Planck length. In addition, it requires
moderately penetrating showers, so far not reported, and ~100% modifications to
standard model phenomenology at 100 GeV energies.Comment: 8 pages, 6 figure
Correlations among Multi-Wavelength Luminosities of Star-Forming Galaxies
It has been known for two decades that a tight correlation exists between
far-infrared (FIR) and radio (1.4 and 4.8 GHz) global fluxes/luminosities from
galaxies, which may be explained in terms of massive star formation activities
in these galaxies. For this very reason, a correlation might also exist between
X-ray and FIR/radio global luminosities of galaxies. We analyze data from {\it
ROSAT} All-Sky Survey and {\it IRAS} to show that such correlation does indeed
exist between FIR (42.5m) and soft X-ray (0.12.4keV) luminosities
in active star-forming galaxies (ASFGs).In order to establish a physical
connection between the L_{\rmX}-L_{\rm FIR} correlation and global star
formation rate (SFR) in galaxies, we empirically derive both and relations. Futhermore, we propose a relation
between soft X-ray luminosity and SFR in star-forming galaxies. To further
understand the relation, we construct an empirical
model in which both FIR and X-ray emissions consist of two components with one
being closely associated with star formation and the other not.Comment: 9 pages, 6 figures, accepted by MNRA
Ultra high energy neutrino-nucleon cross section from cosmic ray experiments and neutrino telescopes
We deduce the cosmogenic neutrino flux by jointly analysing ultra high energy
cosmic ray data from HiRes-I and II, AGASA and the Pierre Auger Observatory. We
make two determinations of the neutrino flux by using a model-dependent method
and a model-independent method. The former is well-known, and involves the use
of a power-law injection spectrum. The latter is a regularized unfolding
procedure. We then use neutrino flux bounds obtained by the RICE experiment to
constrain the neutrino-nucleon inelastic cross section at energies inaccessible
at colliders. The cross section bounds obtained using the cosmogenic fluxes
derived by unfolding are the most model-independent bounds to date.Comment: 20 pages, 6 figures, 2 table
On Black Hole Detection with the OWL/Airwatch Telescope
In scenarios with large extra dimensions and TeV scale gravity ultrahigh
energy neutrinos produce black holes in their interactions with the nucleons.
We show that ICECUBE and OWL may observe large number of black hole events and
provide valuable information about the fundamental Planck scale and the number
of extra dimensions. OWL is especially well suited to observe black hole events
produced by neutrinos from the interactions of cosmic rays with the 3 K
background radiation. Depending on the parameters of the scenario of large
extra dimensions and on the flux model, as many as 28 events per year are
expected for a Planck scale of 3 TeV.Comment: 8 pages, including 7 color figures, three figure captions corrected,
minor changes for clarification, one reference adde
Detecting Microscopic Black Holes with Neutrino Telescopes
If spacetime has more than four dimensions, ultra-high energy cosmic rays may
create microscopic black holes. Black holes created by cosmic neutrinos in the
Earth will evaporate, and the resulting hadronic showers, muons, and taus may
be detected in neutrino telescopes below the Earth's surface. We simulate such
events in detail and consider black hole cross sections with and without an
exponential suppression factor. We find observable rates in both cases: for
conservative cosmogenic neutrino fluxes, several black hole events per year are
observable at the IceCube detector; for fluxes at the Waxman-Bahcall bound,
tens of events per year are possible. We also present zenith angle and energy
distributions for all three channels. The ability of neutrino telescopes to
differentiate hadrons, muons, and possibly taus, and to measure these
distributions provides a unique opportunity to identify black holes, to
experimentally constrain the form of black hole production cross sections, and
to study Hawking evaporation.Comment: 20 pages, 9 figure
Collider versus Cosmic Ray Sensitivity to Black Hole Production
In scenarios with extra dimensions and TeV-scale quantum gravity, black holes
are expected to be produced copiously at center-of-mass energies above the
fundamental Planck scale. The Large Hadron Collider (LHC) may thus turn into a
factory of black holes, at which their production and evaporation may be
studied in detail. But even before the LHC starts operating, the Pierre Auger
Observatory for cosmic rays, presently under construction, has an opportunity
to search for black hole signatures. Black hole production in the scattering of
ultrahigh energy cosmic neutrinos on nucleons in the atmosphere may initiate
quasi-horizontal air showers far above the Standard Model rate. In this letter,
we compare the sensitivity of LHC and Auger to black hole production by
studying their respective reach in black hole production parameter space.
Moreover, we present constraints in this parameter space from the
non-observation of horizontal showers by the Fly's Eye collaboration. We find
that if the ultrahigh energy neutrino flux is at the level expected from cosmic
ray interactions with the cosmic microwave background radiation, Auger has only
a small window of opportunity to detect black holes before the start of the
LHC. If, on the other hand, larger ultrahigh energy neutrino fluxes on the
level of the upper limit from ``hidden'' hadronic astrophysical sources are
realized in nature, then the first signs of black hole production may be
observed at Auger. Moreover, in this case, the Fly's Eye constraints, although
more model dependent, turn out to be competitive with other currently available
constraints on TeV-scale gravity which are mainly based on interactions
associated with Kaluza-Klein gravitons.Comment: 13 pages, 6 figures; references added and more emphasis on Fly's Eye
constraints; version to appear in Phys. Lett.