First Records of Megachile apicalis (Hymenoptera: Megachilidae) for Illinois Found in Heavily Urbanized Areas within the City of Chicago

We provide the first record of the non-native Megachile apicalis Spinola (Hymenoptera: Megachilidae) in Illinois. Thirty Megachile apicalis specimens were collected in the summer of 2018 in a highly urban area of Chicago, IL, USA. Our findings suggest that the range of Megachile apicalis appears to be rapidly expanding across North America, inward from both the East and Western Coasts. Megachile apicalis in Chicago has a broad activity period, can take advantage of abundant non-native floral food resources, and has competitive nesting behavior, all of which may facilitate its successful establishment in disturbed urban environments, as well as its continued spread across North America

Adaptive Informative Path Planning with Multimodal Sensing

Adaptive Informative Path Planning (AIPP) problems model an agent tasked with obtaining information subject to resource constraints in unknown, partially observable environments. Existing work on AIPP has focused on representing observations about the world as a result of agent movement. We formulate the more general setting where the agent may choose between different sensors at the cost of some energy, in addition to traversing the environment to gather information. We call this problem AIPPMS (MS for Multimodal Sensing). AIPPMS requires reasoning jointly about the effects of sensing and movement in terms of both energy expended and information gained. We frame AIPPMS as a Partially Observable Markov Decision Process (POMDP) and solve it with online planning. Our approach is based on the Partially Observable Monte Carlo Planning framework with modifications to ensure constraint feasibility and a heuristic rollout policy tailored for AIPPMS. We evaluate our method on two domains: a simulated search-and-rescue scenario and a challenging extension to the classic RockSample problem. We find that our approach outperforms a classic AIPP algorithm that is modified for AIPPMS, as well as online planning using a random rollout policy.Comment: First two authors contributed equally; International Conference on Automated Planning and Scheduling (ICAPS) 202

Monitoring coyote population changes with a passive activity index

A passive tracking index method that has been successfully applied to dingoes (Canis lupus dingo) in Australia was shown to have more general applicability to wild canids by monitoring coyote (Canis latrans) populations in southern Texas. The index was calculated simultaneously for multiple species of animals from observations on the number of intrusions onto a series of tracking plots over several days. We found that the index reflected changes in coyote activity before and after a trapping program on each of 2 ranches. We also were able to simultaneously monitor bobcat (Felis rufus) and white-tailed deer (Odocoileus virginianus) populations, producing some interesting (and unexpected) insights. In our study area, we found it difficult to distinguish the number of rabbit and rodent intrusions into the plots, but these animals might be indexed in other habitats. Analyses of the data as binary responses (presence or absence of spoor on each tracking plot), as has been done in scent-post surveys, reduced the sensitivity and accuracy of inferences

Distributed usability evaluation of the Pennsylvania Cancer Atlas

<p>Abstract</p> <p>Background</p> <p>The Pennsylvania Cancer Atlas (PA-CA) is an interactive online atlas to help policy-makers, program managers, and epidemiologists with tasks related to cancer prevention and control. The PA-CA includes maps, graphs, tables, that are dynamically linked to support data exploration and decision-making with spatio-temporal cancer data. Our Atlas development process follows a user-centered design approach. To assess the usability of the initial versions of the PA-CA, we developed and applied a novel strategy for soliciting user feedback through multiple distributed focus groups and surveys. Our process of acquiring user feedback leverages an online web application (e-Delphi). In this paper we describe the PA-CA, detail how we have adapted e-Delphi web application to support usability and utility evaluation of the PA-CA, and present the results of our evaluation.</p> <p>Results</p> <p>We report results from four sets of users. Each group provided structured individual and group assessments of the PA-CA as well as input on the kinds of users and applications for which it is best suited. Overall reactions to the PA-CA are quite positive. Participants did, however, provide a range of useful suggestions. Key suggestions focused on improving interaction functions, enhancing methods of temporal analysis, addressing data issues, and providing additional data displays and help functions. These suggestions were incorporated in each design and implementation iteration for the PA-CA and used to inform a set of web-atlas design principles.</p> <p>Conclusion</p> <p>For the Atlas, we find that a design that utilizes linked map, graph, and table views is understandable to and perceived to be useful by the target audience of cancer prevention and control professionals. However, it is clear that considerable variation in experience using maps and graphics exists and for those with less experience, integrated tutorials and help features are needed. In relation to our usability assessment strategy, we find that our distributed, web-based method for soliciting user input is generally effective. Advantages include the ability to gather information from users distributed in time and space and the relative anonymity of the participants while disadvantages include less control over when and how often participants provide input and challenges for obtaining rich input.</p

Plot placement when using a passive tracking index to simultaneously monitor multiple species of animals

We evaluated a passive tracking index (PTI) when plots were placed on lightly used dirt roads versus placement on naturally occurring bare ground in natural habitat. PTIs were calculated before and after removal of coyotes and some non-target species during another study that evaluated capture devices. Six mammals were simultaneously monitored with the PTI: coyotes, raccoons, white-tailed deer, feral swine, javelina, and rabbits. PTIs from road plots were significantly higher than from off-road plots, except for deer and javelina, for which no differences were detected. After removal of coyotes, PTIs were significantly lower, both from on- and off-road plots. For coyotes and raccoons, the decline in index values primarily reflected population reductions. For animals hunted for sport (deer, swine, javelina), population reductions were minor compared with coyotes, and their declines in index values likely reflected conditioned responses to the activity and shooting that accompanied evaluations of the capture devices. We conclude that the PTI is sensitive to changes in population or changes in activity in response to an event for a variety of species, and it is most useful when placed on lightly used dirt roads

Effects of Selected Wood Species and Moisture Content on PMDI Resin Application and Panel Properties

This study investigated the effect of selected species and moisture conditions on resin distribution and composite panel properties. Flakeboard composites were made from aspen, pine, or poplar flakes that were equilibrated to 4, 8, or 12% moisture content (MC). Resin droplet size (resin "footprint") was measured, as was the percentage of the flake surface that was covered by resin. Aspen flakes showed higher resin coverage and also larger resin droplet sizes. Conversely, pine and poplar flakes had smaller resin droplets and lower resin coverage per flake surface, suggesting greater pMDI penetration. Internal bond (IB) testing revealed optimal performance for aspen flakes at 12% precure MC, and poplar and pine flakes at 8% precure MC. Modulus of rupture and modulus of elasticity results correlated with IB results. Aspen panels bonded at 8 and 12% MC had minimal thickness swell

Functional Approach to Quantum Decoherence and the Classical Final Limit

For a wide set of quantum systems it is demonstrated that the quantum regime can be considered as the transient phase while the final classical statistical regime is a permanent state. A basis where exact matrix decoherence appears for these final states is found. The relation with the decoherence of histories formalism is studied. A set of final intrinsically consistent histories is found.Comment: 20 pages. Phys. Rev A in press 200

Placebo Oral Rabies Vaccine Bait Uptake by Small Indian Mongooses (\u3ci\u3eHerpestes auropunctatus\u3c/i\u3e) in Southwestern Puerto Rico

The small Indian mongoose (Herpestes auropunctatus) is a rabies reservoir in areas of the Caribbean including Puerto Rico, but no rabies vaccination program targeting this host exists. We used two derivatives of iophenoxic acid (IPA) to evaluate placebo oral rabies vaccine bait uptake by mongooses in southwestern Puerto Rico. We hand-distributed baits at an application rate of 200 baits/km2 at three, 400 ha, sites during autumn 2016 and spring 2017. Each site contained 90–100 cage traps in a 100 ha central trapping area. We used ethyl-IPA as a biological marker during the autumn and methyl-IPA during the spring. We live captured mongooses for 10 consecutive days, beginning 1 wk following bait application. We obtained a serum sample from captured mongooses and analyzed the sera for ethyl- and methyl-IPA by liquid chromatography mass spectrometry. During autumn 2016, 63% (55/87) mongooses sampled were positive for ethyl-IPA. In spring 2017, 69% (85/123) of mongooses were positive for methyl-IPA. Pooling seasons, accounting for recaptures between years, and disregarding marker type, 74% (133/179) unique mongooses were positive for IPA biomarker, indicating bait consumption during either the autumn, spring, or both trials. We conclude that distributing baits at an application rate of 200 baits/km2 is sufficient to reach over 60% of the target mongoose population in dry forest habitats of Puerto Rico