Suitable and Effective Coyote Control Tools for the Urban/Suburban Setting

Increases in the incidence of human conflict with coyotes in urban/suburban environments fuel a need for suitable coyote tools and methods to reduce these conflicts. Traditional tools, such as foothold traps and snares, face continued problems of acceptability in urban/suburban situations because of public anxiety about the risks to non-targets as well as other animal welfare concerns. We review the major categories of methods and tools used to prevent or reduce urban coyote-human conflicts, including exclusion (fencing), environmental and habitat modification, capture devices (traps, snares, and related devices), and shooting. We briefly discuss future technologies current under development: fertility control, toxicants, and electronic trap monitoring. Among capture devices, we describe recent advances in technology as exemplified by three devices: the KB Compound 5.5TM, the BélisleTM footsnare, and the CollarumTM, which have gone a long way to address both capture efficiency and animal welfare concerns. We caution those involved in advising legislators, or in drafting legislation, to be aware of developing technologies, so as to avoid writing laws that are so broad as to ban future capture devices that improve on current devices in terms of humaneness and animal welfare

New Representations of the Perturbative S-Matrix

We propose a new framework to represent the perturbative S-matrix which is well-defined for all quantum field theories of massless particles, constructed from tree-level amplitudes and integrable term-by-term. This representation is derived from the Feynman expansion through a series of partial fraction identities, discarding terms that vanish upon integration. Loop integrands are expressed in terms of "Q-cuts" that involve both off-shell and on-shell loop-momenta, defined with a precise contour prescription that can be evaluated by ordinary methods. This framework implies recent results found in the scattering equation formalism at one-loop, and it has a natural extension to all orders---even non-planar theories without well-defined forward limits or good ultraviolet behavior.Comment: 4+1 pages, 4 figure

Colour-electric spectral function at next-to-leading order

The spectral function related to the correlator of two colour-electric fields along a Polyakov loop determines the momentum diffusion coefficient of a heavy quark near rest with respect to a heat bath. We compute this spectral function at next-to-leading order, O(alpha_s^2), in the weak-coupling expansion. The high-frequency part of our result (omega >> T), which is shown to be temperature-independent, is accurately determined thanks to asymptotic freedom; the low-frequency part of our result (omega << T), in which Hard Thermal Loop resummation is needed in order to cure infrared divergences, agrees with a previously determined expression. Our result may help to calibrate the overall normalization of a lattice-extracted spectral function in a perturbative frequency domain T << omega << 1/a, paving the way for a non-perturbative estimate of the momentum diffusion coefficient at omega -> 0. We also evaluate the colour-electric Euclidean correlator, which could be directly compared with lattice simulations. As an aside we determine the Euclidean correlator in the lattice strong-coupling expansion, showing that through a limiting procedure it can in principle be defined also in the confined phase of pure Yang-Mills theory, even if a practical measurement could be very noisy there.Comment: 38 page

Knowledge of heart attack and stroke symptomology: a cross-sectional comparison of rural and non-rural US adults

<p>Abstract</p> <p>Background</p> <p>Understanding the signs and symptoms of heart attacks and strokes are important not only in saving lives, but also in preserving quality of life. Findings from recent research have yielded that the prevalence of cardiovascular disease risk factors are higher in rural populations, suggesting that adults living in rural locales may be at higher risk for heart attack and/or stroke. Knowledge of heart attack and stroke symptomology as well as calling 911 for a suspected heart attack or stroke are essential first steps in seeking care. This study sought to examine the knowledge of heart attack and stroke symptoms among rural adults in comparison to non-rural adults living in the U.S.</p> <p>Methods</p> <p>Using multivariate techniques, a cross-sectional analysis of an amalgamated multi-year Behavioral Risk Factor Surveillance Survey (BRFSS) database was performed. The dependent variable for this analysis was low heart attack and stroke knowledge score. The covariates for the analysis were: age, sex, race/ethnicity, annual household income, attained education, health insurance status, having a health care provider (HCP), timing of last routine medical check-up, medical care deferment because of cost, self-defined health status and geographic locale.</p> <p>Results</p> <p>The weighted n for this study overall was 103,262,115 U.S. adults > =18 years of age. Approximately 22.0% of these respondents were U.S. adults living in rural locales. Logistic regression analysis revealed that those U.S. adults who had low composite heart attack and stroke knowledge scores were more likely to be rural (OR = 1.218 95%CI 1.216-1.219) rather than non-rural residents. Furthermore, those with low scores were more likely to be: male (OR = 1.353 95%CI 1.352-1.354), >65 years of age (OR = 1.369 95%CI 1.368-1.371), African American (OR = 1.892 95%CI 1.889-1.894), not educated beyond high school (OR = 1.400 955CI 1.399-1.402), uninsured (OR = 1.308 95%CI 1.3-6-1.310), without a HCP (OR = 1.216 95%CI 1.215-1.218), and living in a household with an annual income of < $50,000 (OR = 1.429 95%CI 1.428-1.431).</p> <p>Conclusions</p> <p>Analysis identified clear disparities between the knowledge levels U.S. adults have regarding heart attack and stroke symptoms. These disparities should guide educational endeavors focusing on improving knowledge of heart attack and stroke symptoms.</p

Collinear and Soft Limits of Multi-Loop Integrands in N=4 Yang-Mills

It has been argued in arXiv:1112.6432 that the planar four-point integrand in N=4 super Yang-Mills theory is uniquely determined by dual conformal invariance together with the absence of a double pole in the integrand of the logarithm in the limit as a loop integration variable becomes collinear with an external momentum. In this paper we reformulate this condition in a simple way in terms of the amplitude itself, rather than its logarithm, and verify that it holds for two- and three-loop MHV integrands for n>4. We investigate the extent to which this collinear constraint and a constraint on the soft behavior of integrands can be used to determine integrands. We find an interesting complementarity whereby the soft constraint becomes stronger while the collinear constraint becomes weaker at larger n. For certain reasonable choices of basis at two and three loops the two constraints in unison appear strong enough to determine MHV integrands uniquely for all n.Comment: 27 pages, 14 figures; v2: very minor change

The latest (version 4.3) Mars Climate Database

Introduction: The Mars Climate Database (MCD) is a database of meteorological fields derived from General Circulation Model (GCM) numerical simulations of the Martian atmosphere and validated using available observational data. The MCD includes complementary post-processing schemes such as high spatial resolution interpolation of environmental data and means of reconstructing the variability thereof. The GCM is developed at Laboratoire de Météorologie Dynamique du CNRS (Paris, France) [1,2] in collaboration with the Open University (UK), the Oxford University (UK) and the Instituto de Astrofisica de Andalucia (Spain) with support from the European Space Agency (ESA) and the Centre National d'Etudes Spatiales (CNES)

Toward Understanding Person–Place Transactions in Neighborhoods: A Qualitative-Participatory Geospatial Approach

Background and Objectives Emerging research regarding aging in neighborhoods emphasizes the importance of this context for well-being; however, in-depth information about the nature of person–place relationships is lacking. The interwoven and complex nature of person and place points to methods that can examine these relationships in situ and explore meanings attached to places. Participatory geospatial methods can capture situated details about place that are not verbalized during interviews or otherwise discerned, and qualitative methods can explore interpretations, both helping to generate deep understandings of the relationships between person and place. This article describes a combined qualitative-geospatial approach for studying of older adults in neighborhoods and investigates the qualitative-geospatial approach developed, including its utility and feasibility in exploring person–place transactions in neighborhoods. Research Design and Methods We developed and implemented a qualitative-geospatial approach to explore how neighborhood and person transact to shape sense of social connectedness in older adults. Methods included narrative interviews, go-along interviews, and global positioning system tracking with activity/travel diary completion followed by map-based interviews. We used a variety of data analysis methods with attention to fully utilizing diverse forms of data and integrating data during analysis. We reflected on and examined the utility and feasibility of the approach through a variety of methods. Results Findings indicate the unique understandings that each method contributes, the strengths of the overall approach, and the feasibility of implementing the approach. Discussion and Implications The developed approach has strong potential to generate knowledge about person–place transactions that can inform practice, planning, policy, and research to promote older adults’ well-being