A Comparison of Two Methods of Quantifying Mating Success in Low Density Gypsy Moth (Lymantria dispar) Populations

The gypsy moth (Lymantria dispar) is a defoliating pest native to Europe and invasive to North America. The gypsy moth is subject to depressed mating success in low density populations, which may restrict spread of the forest pest. Research focusing on gypsy moth density as it relates to mating behavior has often used counts of males caught in pheromone-baited delta traps as a proxy to estimate the probability of female mating success. The purpose of this project was to determine whether pheromone trap counts provide accurate estimates of female mating success probability, by comparing data gathered from pheromone-baited delta traps to data gathered on mating success of tethered females. To determine the relationship between number of males caught in delta traps and the probability of successful mating, male catch counts in traps were compared to mating success of tethered females in a mass male release experiment. The relationship between delta trap catch of males and female mating success was quantified using a Bayesian framework, which explicitly incorporates uncertainties in the model. Vegetative cover in the study plots was reduced to a single measure through principal components analysis and included as an independent factor in the model. The data suggest that delta traps reduce the male’s ability to find a female by 67%; thus, results garnered from delta trap catch counts tend to underestimate the underlying ability of males to locate and mate with females. Thick understory vegetation further reduced the male’s ability to locate a female, and further reduced the effectiveness of delta traps. Future studies that seek to use counts of males in pheromone-baited traps as a proxy for mating success should consider using an adjustment factor to equate the two methods of quantifying reproductive behavior in the gypsy moth.https://scholarscompass.vcu.edu/uresposters/1271/thumbnail.jp

Visualising Bluetooth interactions: combining the Arc Diagram and DocuBurst techniques

Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understanding and overview of the dataset as a whole. In order to overcome this problem, we have designed a visualisation which provides an informative overview of the dataset. The visualisation combines existing Arc Diagram and DocuBurst techniques into a radial space-filling layout capable of conveying a rich understanding of Bluetooth interaction data, and clearly represents social networks and relationships established among encountered devices. The end result enables a user to visually interpret the relative importance of individual devices encountered, the relationships established between them and the usage of Bluetooth 'friendly names' (or device labels) within the data

Bluetooth friendly names: bringing classic HCI questions into the mobile space

We explore the use of Bluetooth friendly names within the mobile space. Each Bluetooth-enabled device possesses a short string known as a 'friendly name' used to help identify a device to human users. In our analysis, we collected friendly names in use on 9,854 Bluetooth-enabled devices over a 7-month period. These names were then classified and the results analysed. We discovered that a broad range of HCI themes are applicable to the domain of Bluetooth friendly names, including previous work on personalisation, naming strategies and anonymity in computer mediated communication. We also found that Bluetooth is already being used as a platform for social interaction and communication amongst collocated groups and has moved beyond its original intention of file exchange

Classifying public display systems: an input/output channel perspective

Public display screens are relatively recent additions to our world, and while they may be as simple as a large screen with minimal input/output features, more recent developments have introduced much richer interaction possibilities supporting a variety of interaction styles. In this paper we propose a framework for classifying public display systems with a view to better understanding how they differ in terms of their interaction channels and how future installations are likely to evolve. This framework is explored through 15 existing public display systems which use mobile phones for interaction in the display space

Bluetooth familiarity: methods of calculation, applications and limitations

We present an approach for utilising a mobile device’s Bluetooth sensor to automatically identify social interactions and relationships between individuals in the real world. We show that a high degree of accuracy is achievable in the automatic identification of mobile devices of familiar individuals. This has implications for mobile device security, social networking and in context aware information access on a mobile device

Casting a shadow: harm from known drinkers

Abstract Introduction: This paper examines the negative consequences of having a known drinker in one’s life. Method: The first dedicated national survey on alcohol’s harm to others (AH20) in Ireland was undertaken in 2015. Data was gathered by a cross sectional probability sample of 2,005 adults (18+yrs). Using a 12 month time-frame, respondents were asked about adverse effects they experienced due to known drinkers. Results: Overall, two in five people experiencing harm from known drinkers. Intangible harm was more common (38%) than tangible harm (24%). Stress/anxiety was the most common harm. The youngest age group was most at risk of tangible harm, those under 60 were most at risk of intangible harm. Closeness of the relationship to known heavy drinkers increased the risk of harm, with partners and household members of heavy drinkers most at risk. Respondents who were risky drinkers were more likely to report harm from known drinkers. Respondents with a close relationship to heavy drinkers and those with both a close and an extended relationship to heavy drinkers reported lower life satisfaction than those who did not know heavy drinkers. Conclusion: Having a known drinker in one’s life can cast a shadow on an individual’s health and well-being and the closer the proximity relationship to known heavy drinkers the greater the shadow. To reduce AH20, a broad alcohol policy framework is needed, that incorporates effective measures to reduce harm across the population and improve relevant services in local communities. The implementation of the recently passed Public Health Alcohol Act can help identify and implement the necessary actions to reduce alcohol-related harm in Ireland

The FHD/ε\boldsymbol{\varepsilon}ppsilon Epoch of Reionization Power Spectrum Pipeline

Epoch of Reionization data analysis requires unprecedented levels of accuracy in radio interferometer pipelines. We have developed an imaging power spectrum analysis to meet these requirements and generate robust 21 cm EoR measurements. In this work, we build a signal path framework to mathematically describe each step in the analysis, from data reduction in the FHD package to power spectrum generation in the $\varepsilon$ppsilon package. In particular, we focus on the distinguishing characteristics of FHD/$\varepsilon$ppsilon: highly accurate spectral calibration, extensive data verification products, and end-to-end error propagation. We present our key data analysis products in detail to facilitate understanding of the prominent systematics in image-based power spectrum analyses. As a verification to our analysis, we also highlight a full-pipeline analysis simulation to demonstrate signal preservation and lack of signal loss. This careful treatment ensures that the FHD/$\varepsilon$ppsilon power spectrum pipeline can reduce radio interferometric data to produce credible 21 cm EoR measurements.Comment: 21 pages, 10 figures, accepted by PAS

Ionogel-biosensor: novel ionogels based on ionic liquids as a platform to measure enzyme activity of glucose oxdase in real time

It is estimated that there are 170 million diabetics worldwide, and the number continues to rise alarmingly. The management of diabetes is therefore critical to future society, and this is driving demand for point-of-care (POC) glucose biosensors, and they play a central role in the management blood sugar levels in patients with diabetes. Glucose Oxidase (GOx) is a biorecognition enzyme, which recognises the glucose molecule and acts as a catalyst to produce gluconic acid and hydrogen peroxide in the presence of glucose and oxygen.[1] Ionic Liquids are organic salts, which are liquid at ambient temperature. Their non-volatile character and thermal stability makes them an attractive alternative to conventional organic solvents. We are interested in studying the characteristics of GOx in ionic liquids, and in polymer materials incorporating ionic liquids known as ionogels. Herein we report the enzyme activity of GOx in a biosensor fabricated using a novel hybrid ionogel. This approach potentially offers several advantages over conventional materials. For example, the ionogels can be chemically and physically tailored for a particular requirement. [3] The design of these ionogels ensures that the enzyme is effectively retained in the polymer, thus preventing leaching. The ionogel-biosensor has been incorporated into a compact, portable and low cost device, which allows the real time monitoring of enzyme activity of GOx. Based on this model, we project that this device will provide the platform for measuring the enzyme activity of a wide range of enzymes