Seasonal Response of Workers of the Allegheny Mound Ant, \u3ci\u3eFormica Exsectoides\u3c/i\u3e (Hymenoptera: Formicidae) to Artificial Honeydews of Varying Nutritional Content

Field colonies of Allegheny mound ants, Formica exsectoides, were tested at monthly intervals throughout the summer to assess their preference for artificial honeydews containing varying compositions of sugars and amino acids. In choice tests, foragers significantly preferred high sugar honeydews early in the season, but shifted in mid-season to a strong preference for high amino acid honeydews. Late-season foragers slightly preferred sugars. When offered in equal concentrations, the honeydew sugar, melezitose, was consistently less attractive to foragers than sucrose. However both sugars were readily fed upon, and appeared to attract ants in an additive fashion. No single amino acid was significantly preferred; however the combination of asparagine, glutamine and serine was highly attractive during the mid-season sampling period. The seasonal switch in forager preference between sugars and amino acids coincides with an increase in the amount of actively growing brood

A Risk-Adjusted Model for Ovarian Cancer Care and Disparities in Access to High-Performing Hospitals.

ObjectiveTo validate the observed/expected ratio for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care, and to identify patient characteristics associated with disparities in access to high-performing hospitals.MethodsThis was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to the California Cancer Registry between 1996 and 2014. A fit logistic regression model, which was risk-adjusted for patient and disease characteristics, was used to calculate the observed/expected ratio for each hospital, stratified by hospital annual case volume. A Cox proportional hazards model was used for survival analyses, and a multivariable logistic regression model was used to identify independent predictors of access to high-performing hospitals.ResultsThe study population included 30,051 patients who were treated at 426 hospitals: low observed/expected ratio (n=304) 23.5% of cases; intermediate observed/expected ratio (n=92) 57.8% of cases; and high observed/expected ratio (n=30) 18.7% of cases. Hospitals with high observed/expected ratios were significantly more likely to deliver guideline-adherent care (53.3%), compared with hospitals with intermediate (37.8%) and low (27.5%) observed/expected ratios (P<.001). Median disease-specific survival time ranged from 73.0 months for hospitals with high observed/expected ratios to 48.1 months for hospitals with low observed/expected ratios (P<.001). Treatment at a hospital with a high observed/expected ratio was an independent predictor of superior survival compared with hospitals with intermediate (hazard ratio [HR] 1.06, 95% CI 1.01-1.11, P<.05) and low (HR 1.10, 95% CI 1.04-1.16, P<.001) observed/expected ratios. Being of Hispanic ethnicity (odds ratio [OR] 0.85, 95% CI 0.78-0.93, P<.001, compared with white), having Medicare insurance (OR 0.74, 95% CI 0.68-0.81 P<.001, compared with managed care), having a Charlson Comorbidity Index score of 2 or greater (OR 0.91, 95% CI 0.83-0.99, P<.05), and being of lower socioeconomic status (lowest quintile OR 0.41, 95% CI 0.36-0.46, P<.001, compared with highest quintile) were independent negative predictors of access to a hospital with a high observed/expected ratio.ConclusionOvarian cancer care at a hospital with a high observed/expected ratio is an independent predictor of improved survival. Barriers to high-performing hospitals disproportionately affect patients according to sociodemographic characteristics. Triage of patients with suspected ovarian cancer according to a performance-based observed/expected ratio hospital classification is a potential mechanism for expanded access to expert care

Participation in domestic energy retrofit programmes: key spatio-temporal drivers

The Canadian government created the EcoENEGY Retrofit for Homes programme (2007–12) to improve residential energy efficiency and reduce emissions produced through energy use. The uptake of retrofits varied both spatially and temporally. This research examines spatio-temporal patterns of retrofit adoption to understand the drivers behind participation in the grant programme and assess how future grant-based programmes might improve the uptake of efficiency measures. Temporal analysis demonstrated continued growth of programme participation over its original period of availability, and this accelerated once the programme was extended for an additional year after its original closure date. However, some spatial correlations weakened, which may be attributable to changes in programme design during the extension period. Seasonal variation was also observed, with spikes in retrofit activity occurring in winter. A regression analysis for conversion rates in Ontario and British Columbia displayed significant positive correlations for high shelter costs (>30% of household income) and households occupied by usual residents (regular occupants). Population density, median property value (only in Ontario) and units that were recently occupied demonstrated negative correlations. Spatial variation at both the city and neighbourhood levels suggests a greater degree of programme customisation is required to ensure uniform building stock improvement

Valuation of aircraft noise by time of day: a comparison of two approaches

This paper reports an innovative application of stated preference techniques to derive values of aircraft noise by time of day and day of week. Revealed preference techniques cannot provide such segmentations which would clearly be of use in policy development especially relating to airport operations. Given the lack of research on this issue the work reported here is highly experimental. Two stated preference experiments were designed. The first focussed on a single time period whilst the second asked respondents to trade between time periods. Both approaches yielded results that are plausible and mutually consistent in terms of relative values by time period. We conclude that stated preference techniques are particularly useful in this context where the use of aggregated values may lead to non-optimal policy decisions

The Conditional Lucas & Kanade Algorithm

The Lucas & Kanade (LK) algorithm is the method of choice for efficient dense image and object alignment. The approach is efficient as it attempts to model the connection between appearance and geometric displacement through a linear relationship that assumes independence across pixel coordinates. A drawback of the approach, however, is its generative nature. Specifically, its performance is tightly coupled with how well the linear model can synthesize appearance from geometric displacement, even though the alignment task itself is associated with the inverse problem. In this paper, we present a new approach, referred to as the Conditional LK algorithm, which: (i) directly learns linear models that predict geometric displacement as a function of appearance, and (ii) employs a novel strategy for ensuring that the generative pixel independence assumption can still be taken advantage of. We demonstrate that our approach exhibits superior performance to classical generative forms of the LK algorithm. Furthermore, we demonstrate its comparable performance to state-of-the-art methods such as the Supervised Descent Method with substantially less training examples, as well as the unique ability to "swap" geometric warp functions without having to retrain from scratch. Finally, from a theoretical perspective, our approach hints at possible redundancies that exist in current state-of-the-art methods for alignment that could be leveraged in vision systems of the future.Comment: 17 pages, 11 figure

Success in Challenging Times: Generating Social Capital [Summary Report]

Prompted by findings from the 2012 Kingston Smith funded national survey, Success in challenging times: Key lessons for UK SMEs, this new study focuses on the ways in which SMEs use and benefit from social capital is created through both offline activities such as networking events, and online activities including social media use. Offline and online networking activities are not mutually exclusive alternatives for SMEs. Successful SMEs network with a number of different communities, integrating a combination of both offline and online methods. SMEs’ websites are crucial and need to be optimised to improve search engine positioning. Social media sites, such as Facebook and LinkedIn are used widely to both showcase the business and build relationships with customers, but are not considered a substitute for face-to-face networking. The most popular reason for SMEs using social media is to develop their business image or to market products. The fast, easy and low cost access to people and businesses provided by Web 2.0 and social media helps them do this better. Online networking can enable SMEs to overcome the drawbacks of traditional face-to-face contact, such as limited numbers and diversity, and the associated high costs. SMEs that proactively engage with social media can systematically raise their profiles to successfully compete with larger organisations. Few SMEs claim to be experts in social media use. IT and social media are regarded as necessary evils and SMEs consider that there is no choice other than to engage very proactively in these areas. However, there is a need to manage this engagement strategically, along with traditional networking, to avoid a disproportionate amount of resource being dedicated to this area. Face-to-face (offline) networking events remain the most important form of all types of SME networking with roughly two thirds of SMEs devoting one to six hours per week to this activity. In general, locally oriented SMEs without a scalable business offering prefer face-to-face networking events, whereas globally oriented non-scalable SMEs put significant effort into social media. Networks included customers, associates and former employees who had moved on to become independent contractors. Networking is about making contacts, outside the SME, who can offer feedback or advice or be used to outsource work. These networks are regarded as a ‘community of people’ who might join in with a new business proposal or be used to provide external expertise. The methods SMEs use to increase social capital, must be fit for purpose and appropriate to their business model. Social media are complementary to, rather than a substitute for, traditional networking and events. The challenge facing SMEs is how best to integrate their online and offline activities to complement their business and generate social capital