6,646 research outputs found

    Censusing manatees: a report on the feasibility of using aerial surveys and mark and recapture techniques to conduct a population survey of the West Indian Manatee

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    This report results from an invitation to review the needs and prospects for capture-recapture and aerial census studies of the manatee (Trichechus manatus) in Florida. Three aerial reconnaissance flights provided a first hand view of manatee habitats, as follows: May 3, Suwannee River to Kings Bay and Crystal River (Rathbun, Eberhardt), May 4, Vero Beach to Ft. Lauderdale and Ft. Myers by way of Whitewater Bay (Rose, Percival, Eberhardt), and May 5, Cape Canaveral to Jacksonville, St. Johns River and Blue Spring (Rose, Kinnaird, Eberhardt). (24 page document

    Multimodal Deep Learning for Scientific Imaging Interpretation

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    In the domain of scientific imaging, interpreting visual data often demands an intricate combination of human expertise and deep comprehension of the subject materials. This study presents a novel methodology to linguistically emulate and subsequently evaluate human-like interactions with Scanning Electron Microscopy (SEM) images, specifically of glass materials. Leveraging a multimodal deep learning framework, our approach distills insights from both textual and visual data harvested from peer-reviewed articles, further augmented by the capabilities of GPT-4 for refined data synthesis and evaluation. Despite inherent challenges--such as nuanced interpretations and the limited availability of specialized datasets--our model (GlassLLaVA) excels in crafting accurate interpretations, identifying key features, and detecting defects in previously unseen SEM images. Moreover, we introduce versatile evaluation metrics, suitable for an array of scientific imaging applications, which allows for benchmarking against research-grounded answers. Benefiting from the robustness of contemporary Large Language Models, our model adeptly aligns with insights from research papers. This advancement not only underscores considerable progress in bridging the gap between human and machine interpretation in scientific imaging, but also hints at expansive avenues for future research and broader application

    Visualization using R to Support Scientific Research and Data Analysis

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    As technology continues to develop, scientists are gathering data at an accelerated pace. Yet in order for this data to be useful, scientists need to be able to make sense of these large quantities of data, glean crucial information, and highlight essential details. Therefore, it has become increasingly important to explore different avenues for displaying data, in order to successfully extend this information to the broader community. The goal of this project was to experiment with and evaluate the visualization capabilities of R. More specifically, to determine how the Shiny package within R can be used to create interactive visuals to express complex results. Additionally, the Plotly package allowed for the creation of interactive graphs in which the user can isolate variables to view desired information. Finally, the Shiny Dashboard package was critical in the organization of a user-friendly platform containing data in various formats. All of this information can now be applied to other projects in order to efficiently and effectively communicate the results to sponsors, policy makers, the next generation of scientists, and the broader community

    Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots

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    This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simultaneous actuation of multiple cables, the robot demonstrates robust climbing on inclined surfaces in hardware experiments and speeds significantly faster than previous spherical tensegrity models. This robot is an improvement over other iterations in the TT-series and the first tensegrity to achieve reliable locomotion on inclined surfaces of up to 24\degree. We analyze locomotion in simulation and hardware under single and multi-cable actuation, and introduce two novel multi-cable actuation policies, suited for steep incline climbing and speed, respectively. We propose compelling justifications for the increased dynamic ability of the robot and motivate development of optimization algorithms able to take advantage of the robot's increased control authority.Comment: 6 pages, 11 figures, IROS 201

    The Ransom and Sarah Williams Farmstead: Post-Emancipation Transitions of an African American Family in Central Texas Vol. 1

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    In conjunction with the proposed construction of the southwest segment of State Highway 45 in southern Travis County, the Texas Department of Transportation sponsored archeological testing and data recovery efforts at the Ransom Williams farmstead. Prewitt and Associates, Inc., conducted an interdisciplinary community-based historic archeological study of the farmstead from 2005 through 2011. Extensive archival research reveals that the 45-acre farm was owned and occupied by Ransom Williams and his wife Sarah, both former slaves, from about 1871 to ca. 1905. The Williams family lived in the predominantly white rural community of Bear Creek, but they had connections to the nearby freedmen communities of Antioch Colony in northern Hays County and Manchaca in southern Travis County. The stories of the Ransom Williams family and their connections to these communities are enhanced by extensive oral history research, with over 46 hours of taped and transcribed interviews with 27 descendant community members. Data recovery investigations focused on a landscape archeological study to define the layout and design of the entire farmstead, including a stock pond and a network of dry-laid rock walls that facilitated water drainage, demarcated property boundaries, and formed livestock pens. Intensive hand excavations were used to examine features associated with the Williams house, outbuildings and activity areas, and a large trash midden. This work recovered more than 26,000 artifacts. They constitute an impressive material culture assemblage that is associated, with few exceptions, with the Williams family tenure on the land. The combined archival data, oral history interviews, and archeological evidence tell the fascinating story of how one African American farm family lived and thrived in central Texas during Reconstruction and into the Jim Crow era

    Infusion device standardisation and dose error reduction software

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    In 2004, the National Patient Safety Agency (NPSA) released a safety alert relating to the management and use of infusion devices in England and Wales. The alert called for the standardisation of infusion devices and a consideration of using centralised equipment systems to manage device storage. There has also been growing interest in smart-pump technology, such as dose error reduction software (DERS) as a way to reduce IV medication errors. However, questions remain about the progress that has been made towards infusion device standardisation and the adoption of DERS. In this article, the authors report the results of a survey investigating the extent to which the standardisation of infusion devices has occurred in the last 10 years and centralised equipment libraries are being used in practice, as well as the prevalence of DERS use within the UK. Findings indicate that while reported standardisation levels are high, use of centralised equipment libraries remains low, as does DERS usage

    Roadmaps to Utopia: Tales of the Smart City

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    Notions of the Smart City are pervasive in urban development discourses. Various frameworks for the development of smart cities, often conceptualized as roadmaps, make a number of implicit claims about how smart city projects proceed but the legitimacy of those claims is unclear. This paper begins to address this gap in knowledge. We explore the development of a smart transport application, MotionMap, in the context of a £16M smart city programme taking place in Milton Keynes, UK. We examine how the idealized smart city narrative was locally inflected, and discuss the differences between the narrative and the processes and outcomes observed in Milton Keynes. The research shows that the vision of data-driven efficiency outlined in the roadmaps is not universally compelling, and that different approaches to the sensing and optimization of urban flows have potential for empowering or disempowering different actors. Roadmaps tend to emphasize the importance of delivering quick practical results. However, the benefits observed in Milton Keynes did not come from quick technical fixes but from a smart city narrative that reinforced existing city branding, mobilizing a growing network of actors towards the development of a smart region. Further research is needed to investigate this and other smart city developments, the significance of different smart city narratives, and how power relationships are reinforced and constructed through them
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