Alien Registration Card- Benkert, Anna (Portland, Cumberland County)

https://digitalmaine.com/alien_cards/1007/thumbnail.jp

Implementation of the Banner Mobility Assessment Tool for Bariatric Patients

Abstract The prevalence of morbidly obese patient within the United States is on a rapid incline. Evidence correlates an increase in patient falls, comorbidities, and hospital admission among this specific patient group. As a result, there is an increase in workload and injuries to staff as they tend to these patients. Healthcare facilities need to continuously update current patient handling programs and create specific policies for safely handling obese patients. Research suggests that Safe Patient Handling and Mobility Programs, as well as the Banner Mobility Assessment Tool (BMAT), have substantially decreased nurse injuries through a wide range of nursing specialties. Creating a systematic charting equation for BMAT would automatically calculate to mobility level of patients and correlate to the appropriate equipment necessary for transferring that patient. In conjunction with Bariatric algorithms, nurses are better able to determine mobility and cooperation of obese patients. The simplicity of the two SPHM assessments can easily be applied to every patient admission while taking the uncertainty out of how to transfer individual patients. Implementing policies such as these can be of great benefit but there is a need for continuous revisions and input from nursing staff to ensure accuracy, accountability, and feasibility. In order to do so, continuous education and culture of safety must be encouraged so that current equipment is utilized and staff adheres to the new policy. Keywords: Banner Mobility Assessment Tool, morbidly obese, Safe Patient Handling and Mobility, nurse injuries, computerized charting

Efficient Generation of Geographically Accurate Transit Maps

We present LOOM (Line-Ordering Optimized Maps), a fully automatic generator of geographically accurate transit maps. The input to LOOM is data about the lines of a given transit network, namely for each line, the sequence of stations it serves and the geographical course the vehicles of this line take. We parse this data from GTFS, the prevailing standard for public transit data. LOOM proceeds in three stages: (1) construct a so-called line graph, where edges correspond to segments of the network with the same set of lines following the same course; (2) construct an ILP that yields a line ordering for each edge which minimizes the total number of line crossings and line separations; (3) based on the line graph and the ILP solution, draw the map. As a naive ILP formulation is too demanding, we derive a new custom-tailored formulation which requires significantly fewer constraints. Furthermore, we present engineering techniques which use structural properties of the line graph to further reduce the ILP size. For the subway network of New York, we can reduce the number of constraints from 229,000 in the naive ILP formulation to about 4,500 with our techniques, enabling solution times of less than a second. Since our maps respect the geography of the transit network, they can be used for tiles and overlays in typical map services. Previous research work either did not take the geographical course of the lines into account, or was concerned with schematic maps without optimizing line crossings or line separations.Comment: 7 page

Alien Registration Card- Benkert, Anna (Portland, Cumberland County)

https://digitalmaine.com/alien_cards/1007/thumbnail.jp

Alien Registration Card- Benkert, Anna (Portland, Cumberland County)

https://digitalmaine.com/alien_cards/1007/thumbnail.jp

Assessment of Organic and Metal Contaminants in Lower Back Bay and Upper Currituck Sound

Studies were conducted at Mackay Island National Wildlife Refuge in 1988 and 1989 to provide baseline data for an assessment of organic chemicals and metal contaminants in the aquatic ecosystem. Longnose gar, gizzard shad, snapping turtles, common rangia clams and sediments were collected from sites in lower Back Bay and upper Currituck Sound for contaminant analyses. Composite sediment samples were analyzed for the presence of metals, organochlorine pesticides and polycyclic aromatic hydrocarbons (PAHs). Organochlorine pesticides were not detected in the sediments. Various PAH compounds were detected in the sediments, although at trace concentrations which just exceeded the analytical detection limit (detection limit 0.01 parts per million wet weight). Metal residues were not elevated with respect to background levels typical of sediments in eastern North Carolina coastal ecosystems. Mean metal residues in the fish (wholebody), turtles (livers) and clams (soft tissues) did not indicate contamination above background levels. Organochlorine pesticides were detected at low or trace levels. The most commonly observed organochlorine pesticides were p,p -DOE and p, p - DOD. Polychlorinated biphenyls (PCBs) were detected at overall low levels in those species analyzed (fish, turtles). Aliphatic hydrocarbons were present in rangia clams at levels indicative of chronic low-level exposure. In summary, the contaminants detected at Mackay Island National Wildlife Refuge in the sediments and biological samples were present at low concentrations typical of background levels. The data do not indicate the presence of toxic hotspots on or immediately adjacent to the Refuge. This suggests that the present degradation in water quality in lower Back Bay and upper Currituck Sound may be linked to: 1) more conventional pollutants, such as excess nutrients and turbidity, associated with non-point source run-off; 2) changes in freshwater inflow due to annual fluctuations in rainfall; and/or, 3) other classes of agricultural chemicals, such as carbonates, organophosphates and chlorophenoxy acid herbicides