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  • Digital Humanities and Cultural Heritage
  • 2013-2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Published version

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    VTechWorks
    Book . 2022
    Data sources: VTechWorks
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Book . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: E. Thomas Ewing;

    Published version

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Part of book or chapter of book . 2022
    Data sources: VTechWorks
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Part of book or chapter of book . 2023
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    https://doi.org/10.4324/978100...
    Part of book or chapter of book . 2022 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Part of book or chapter of book . 2022
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Part of book or chapter of book . 2023
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      https://doi.org/10.4324/978100...
      Part of book or chapter of book . 2022 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mason, Cody C.; Romans, Brian W.; Patterson, Molly O.; Stockli, Daniel F.; +1 Authors

    Cordilleran orogenic systems have complex, polycyclic magmatic and deformation histories, and the timescales and mechanisms of episodic orogenesis are still debated. Here, we show that detrital zircons (DZs) in terrigenous sediment from the late Pleistocene Amazon Fan, found at the terminus of the continent-scale Amazon River-fan system, record multiple, distinct modes of U-Pb crystallization ages and U-Th/He (ZHe) cooling ages that correlate to known South American magmatic and tectonic events. The youngest ZHe ages delineate two recent phases of Andean orogenesis; one in the Late Cretaceous - Paleogene, and another in the Miocene. Frequency analyses of the deep-time Phanerozoic record of DZ U-Pb and ZHe ages demonstrate a strong 72 Myr period in magmatic events, and 92 Myr and 57 Myr periods in crustal cooling. We interpret these results as evidence of changes in upper and lower plate coupling, associated with multiple episodes of magmatism and crustal deformation along the subduction-dominated western margin of South America. The authors wish to acknowledge Equinor for grant funding. Published version Equinor

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    VTechWorks
    Other literature type . 2023
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    VTechWorks
    Other literature type . 2022
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Other literature type . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Taylor, Mia Rachel;

    Data is often high-dimensional. A good example of this is a spreadsheet with many columns. Visualizing high-dimensional data is a difficult task because it must capture all information in 2 or 3 dimensions. Andromeda is a tool that can project high-dimensional data into a scatterplot-like visualization. Data points that are considered similar are plotted near each other and vice versa. Users can alter how important certain parts of the data are to the plotting algorithm as well as move points directly to update the display based on the user-specified layout. These interactions within Andromeda allow data analysts to explore high-dimensional data based on their personal sensemaking processes. As high dimensional thinking and exploratory data analysis are being introduced into more classrooms, it is important to understand the ways in which students analyze high-dimensional data. To address this, this thesis presents two studies. The first study discusses how a middle school class used Andromeda for their engineering design assignments. The results indicate that using Andromeda in a collaborative way enriched the students' learning experience. The second study analyzes how college-level students, when given access to different interaction types in Andromeda, generate insights into a dataset. Students use different vocabulary supported by the interactions available to them, but not equally. The implications, as well as limitations, of these two studies are further discussed. Andromeda is an interactive visualization tool that projects high-dimensional data into a scatterplot-like visualization using Weighted Multidimensional Scaling (WMDS). The visualization can be explored through surface-level interaction (viewing data values), parametric interaction (altering underlying parameterizations), and observation-level interaction (directly interacting with projected points). This thesis presents analyses on the collaborative utility of Andromeda in a middle school class and the insights college-level students generate when using Andromeda. The first study discusses how a middle school class collaboratively used Andromeda to explore and compare their engineering designs. The students analyzed their designs, represented as high-dimensional data, as a class. This study shows promise for introducing collaborative data analysis to middle school students in conjunction with other technical concepts such as the engineering design process. Participants in the study on college-level students were given a version of Andromeda, with access to different interactions, and were asked to generate insights on a dataset. By applying a novel visualization evaluation methodology on students' natural language insights, the results of this study indicate that students use different vocabulary supported by the interactions available to them, but not equally. The implications, as well as limitations, of these two studies are further discussed. Master of Science

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Thesis . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Thesis . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: VanderLeest, Rebecca A.; Fosdick, Julie C.; Malkowski, Matthew A.; Romans, Brian W.; +3 Authors

    Backstripped tectonic basin subsidence histories are critical for interpreting phases of lithospheric deformation and paleoenvironmental change from the stratigraphic record. This study presents new subsidence modeling of the Rocas Verdes Backarc Basin (RVB) and Magallanes-Austral retroarc foreland basin (MAB) of southernmost South America to evaluate along-strike changes in tectonic subsidence related to the Late Jurassic through Miocene history of the Southern Andes. We compiled composite stratigraphic sections for seven basin localities that span 47 degrees-54 degrees S from published sedimentological records of paleoenvironment, paleobathymetry, and geochronology. Modeling results resolve regional trends in basin tectonic subsidence, uplift, and sedimentation rate that influenced the depositional environment during five broad phases of RVB-MAB development: (a) Late Jurassic tectonic subsidence and basin deepening associated with rift-related backarc extension that postdated regional diachronous rift-related magmatism. (b) Southward younging of Early to Late Cretaceous pronounced acceleration in tectonic subsidence interpreted as the initiation of flexural loading and development of the MAB foreland basin system. (c) Late Cretaceous (ca. 85-70 Ma) tectonic uplift within the central foredeep similar to 49 degrees to 52 degrees S, coeval with a shift from slope to shelf deposition at these latitudes. (d) A protracted period of low-magnitude basin uplift and relative tectonic quiescence during the Paleogene, with the exception of southernmost localities; and (e) Synchronous latest Oligocene-early Miocene tectonic subsidence linked to basin deepening and transgression across the northern and central basin sectors. Backstripped tectonic subsidence analysis corroborates existing interpretations for orogenic development in the RVB-MAB and sheds new light on complex polyphase basin histories where extension precedes convergence. We gratefully acknowledge student funding from the Geological Society of America (GSA) Student Research Grant Program, The Society of Sedimentary Geology (SEPM) student research grant, American Association of Petroleum Geologists (AAPG) Grants-in-Aid, and the University of Connecticut Nalwalk Award to RAV. Research was also supported by the U.S. National Science Foundation Award EAR-1649585 to JCF. We thank Platte River Associates for granting us an educational license for BasinMod (R). Discussions with Andrea Stevens-Goddard, Enrique Bostelmann, and Benjamin Daniels improved the scope of our work. We thank three anonymous reviewers and Associate Editor Augusto Rapalini for constructive reviews of our manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Geological Society of America (GSA) Student Research Grant Program; Society of Sedimentary Geology (SEPM) student research grant; American Association of Petroleum Geologists (AAPG); University of Connecticut Nalwalk Award; U.S. National Science Foundation [EAR-1649585] Public domain – authored by a U.S. government employee Published version

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Juergen Schieber; Zhiyang Li; Zalmai Yawar; Xiaomeng Cao; +2 Authors

    Understanding how mud moves and deposits is essential for conceptualizing the dynamic nature of surface environments and their ancient counterparts. Experimental study has largely been pursued by civil engineers, using kaolinite as an active ingredient. Yet, applying their data to the physical comprehension of mudstone sedimentology is hampered by multiple flume configurations between labs, and data sets tailored to specific engineering needs. The need for a better grasp of underlying processes is acute, given recent flume studies that show that moving suspensions form large bedload floccules, migrating floccule ripples and bed accretion under currents capable of moving sand grains. To advance mudstone sedimentology, integrated study of suspended sediment concentration, salinity and bed shear stress on the deposition of floccules is crucial. Described here is a set of tightly controlled experiments that explored suspended sediment concentrations from 70 to 900 mg/l, freshwater, brackish and marine salinities, flow velocities in the 5 to 50 cm/s range (equivalent to 0.01 to 0.58 Pa bed shear), measured the size of in-flow and bedload floccules, and the critical velocity of sedimentation that marks the onset of sustained bedload accumulation. The critical velocity of sedimentation of kaolinite clays is in the 26 to 28 cm/s flow velocity range (0.22 to 0.25 Pa), appears insensitive to a wide range of suspended sediment concentrations and salinities, and coincides with the formation of sand-size bedload floccules. Further decrease of flow velocity/bed shear stress is accompanied by a steady increase in the size of bedload floccules. Large bedload floccules appear to form in the high-shear basal part of the flow, a phenomenon requiring further investigation. Better understanding of the mechanisms that facilitate mud deposition from moving suspensions is critical for more realistic assessments of the depositional conditions of mud and mudstones, as well as for refining predictive models for the flux of fine-grained sediments across the Earth's surface. Funding for this research was provided by the sponsors of the IU Shale Research Consortium (Anadarko, Chevron, ConocoPhillips, ExxonMobil, Shell, Statoil, Marathon, Whiting, and Wintershall). A National Science Foundation equipment grant to J. Schieber (EAR-0318769) provided funds for the purchase of the analytical SEM that was used to acquire SEM images for this article. The paper also benefited from constructive suggestions by Drs Jo~ao TrabuchoAlexandre, Aubry DeReuil, Lauren Birgenheier, Peir Pufahl, Chris Paola and an anonymous reviewer. Dr David Bish of the Indiana University Department of Chemistry kindly provided the quantitative analysis of the kaolinite clay used in these experiments, as well as his insights into the peculiarities of industrially sourced kaolinite. We also thank Dr Juan Fedele from the ExxonMobil Research Labs for computing bed shear stress values from provided velocity profiles. Chevron; ConocoPhillips; ExxonMobil; Shell; Statoil; Marathon; National Science Foundation [EAR-0318769]; Whiting; Wintershall; Anadarko Published version

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    VTechWorks
    Other literature type . 2022
    License: CC BY NC
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sedimentology
    Article . 2022 . Peer-reviewed
    License: CC BY NC
    Data sources: Crossref
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Sedimentology
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    Authors: Chakravarty, Saurabh;

    Documents like legal depositions are used by lawyers and paralegals to ascertain the facts pertaining to a case. These documents capture the conversation between a lawyer and a deponent, which is in the form of questions and answers. Applying current automatic summarization methods to these documents results in low-quality summaries. Though extensive research has been performed in the area of summarization, not all methods succeed in all domains. Accordingly, this research focuses on developing methods to generate high-quality summaries of depositions. As part of our work related to legal deposition summarization, we propose a solution in the form of a pipeline of components, each addressing a sub-problem; we argue that a pipeline based framework can be tuned to summarize documents from any domain. First, we developed methods to parse the depositions, accounting for different document formats. We were able to successfully parse both a proprietary and a public dataset with our methods. We next developed methods to anonymize the personal information present in the deposition documents; we achieve 95% accuracy on the anonymization using a random sampling based evaluation. Third, we developed an ontology to define dialog acts for the questions and answers present in legal depositions. Fourth, we developed classifiers based on this ontology and achieved F1-scores of 0.84 and 0.87 on the public and proprietary datasets, respectively. Fifth, we developed methods to transform a question-answer pair to a canonical/simple form. In particular, based on the dialog acts for the question and answer combination, we developed transformation methods using each of traditional NLP, and deep learning, techniques. We were able to achieve good scores on the ROUGE and semantic similarity metrics for most of the dialog act combinations. Sixth, we developed methods based on deep learning, heuristics, and machine translation to correct the transformed declarative sentences. The sentence correction improved the readability of the transformed sentences. Seventh, we developed a methodology to break a deposition into its topical aspects. An ontology for aspects was defined for legal depositions, and classifiers were developed that achieved an F1-score of 0.89. Eighth, we developed methods to segment the deposition into parts that have the same thematic context. The segments helped in augmenting candidate summary sentences with surrounding context, that leads to a more readable summary. Ninth, we developed a pipeline to integrate all of the methods, to generate summaries from the depositions. We were able to outperform the baseline and state of the art summarization methods in a majority of the cases based on the F1, Recall, and ROUGE-2 scores. The performance gains were statistically significant for all of the scores. The summaries generated by our system can be arranged based on the same thematic context or aspect and hence should be much easier to read and follow, compared to the baseline methods. As part of our future work, we will improve upon these methods. We will refine our methods to identify the important parts using additional documents related to a deposition. In addition, we will work to improve the compression ratio of the generated summaries by reducing the number of unimportant sentences. We will expand the training dataset to learn and tune the coverage of the aspects for various deponent types using empirical methods. Our system has demonstrated effectiveness in transforming a QA pair into a declarative sentence. Having such a capability could enable us to generate a narrative summary from the depositions, a first for legal depositions. We will also expand our dataset for evaluation to ensure that our methods are indeed generalizable, and that they work well when experts subjectively evaluate the quality of the deposition summaries. Documents in the legal domain are of various types. One set of documents includes trial and deposition transcripts. These documents capture the proceedings of a trial or a deposition by note-taking, often over many hours. They contain conversation sentences that are spoken during the trial or deposition and involve multiple actors. One of the greatest challenges with these documents is that generally, they are long. This is a source of pain for attorneys and paralegals who work with the information contained in the documents. Text summarization techniques have been successfully used to compress a document and capture the salient parts from it. They have also been able to reduce redundancy in summary sentences while focusing on coherence and proper sentence formation. Summarizing trial and deposition transcripts would be immensely useful for law professionals, reducing the time to identify and disseminate salient information in case related documents, as well as reducing costs and trial preparation time. Processing the deposition documents using traditional text processing techniques is a challenge because of their form. Having the deposition conversations transformed into a suitable declarative form where they can be easily comprehended can pave the way for the usage of extractive and abstractive summarization methods. As part of our work, we identified the different discourse structures present in the deposition in the form of dialog acts. We developed methods based on those dialog acts to transform the deposition into a declarative form. We were able to achieve an accuracy of 87% on the dialog act classification. We also were able to transform the conversational question-answer (QA) pairs into declarative forms for 10 of the top-11 dialog act combinations. Our transformation methods performed better in 8 out of the 10 QA pair types, when compared to the baselines. We also developed methods to classify the deposition QA pairs according to their topical aspects. We generated summaries using aspects by defining the relative coverage for each aspect that should be present in a summary. Another set of methods developed can segment the depositions into parts that have the same thematic context. These segments aid augmenting the candidate summary sentences, to create a summary where information is surrounded by associated context. This makes the summary more readable and informative; we were able to significantly outperform the state of the art methods, based on our evaluations. Doctor of Philosophy

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    Authors: Zhan, Yue;

    Natural language (NL) is one of the most common mediums humans use daily to express and explain ideas and communicate with each other. In contrast, programming languages (PL) are the ``language'' humans use to communicate with machines. Because of the difference in the purpose, media, and audience, there is a considerable difference in their structure and capabilities. NL is more expressive and natural and sometimes can be rather complex, while PL is primarily short, straightforward, and not as expressive as NL. The need for programming has increased in recent years. However, the learning curve of programming languages can easily be months or more for novice users to learn. At the same time, all potential users are familiar with at least one NL. As such, natural language programming (NLPr), a technology that enables people to program with NL, holds excellent potential since it gives non-experts the ability to ``program'' with the language they already know and a Low-Code or even No-Code development experience. However, despite recent research into NLPr, many challenges with developing NLPr systems are yet to be addressed, namely how to disambiguate natural language semantics, how to validate inputs and provide helpful feedback with a limited amount of data, and how to effectively generate the executable programs based on the semantic meanings. This dissertation addresses these issues by proposing a Controlled Object-Oriented Language (COOL) model to disambiguate and analyze the English inputs' semantic meanings and implement a LEGO robot NLPr platform. Two main approaches that connect the current research in general-purpose NLP techniques to NLPr are taken: (1) The first is developing a domain-specific lexicon and function library with the designed COOL model to serve as the syntax and semantic space. Even though natural language can be extremely complex and expressive, the functions for the specific robot domain can be fulfilled with libraries built of a finite set of objects and functions. (2) An error-reporting and feedback mechanism detects erroneous sentences, explains possible reasons, and provides debugging and rewriting suggestions. The error-reporting and feedback systems are developed with a hybrid approach that combines rule-based methods such as FSM and dependency-based structural analysis with the data-based multi-label classification (MLC) method. Experiment results and user studies show that, with the proposed language model and approaches reducing the ambiguity within the target domain, the designed NLPr system can process a relatively expressive controlled natural language designed for robot motion control and generate executable codes based on the semantic information extracted. When the NLPr system is confronted with erroneous sentences, it produces detailed error messages and provides suggestions and sample sentences for possible fixes to users. NL's structural and semantic information can be transformed into the intermediate representations used for program synthesis with the simple language model and system proposed to resolve the situation where the considerable amount of data needed for a data-based model is unavailable. Natural language (NL) is a common medium humans use to express ideas and communicate with others, while programming languages (PL) are the ``language'' humans use to communicate with machines. As NL and PL were designed for different purposes, a considerable difference exists in the structure and capabilities. Programming using PL can take novices months to learn. Meanwhile, users are already familiar with NL. Therefore, natural language programming (NLPr) holds excellent potential by giving non-experts the ability to ``program'' with the language they already know and a Low-Code/No-Code development experience. However, many challenges with developing NLPr systems are yet to be addressed, namely how to disambiguate NL semantics, validate inputs and provide helpful feedback, and generate the executable programs based on semantic meanings effectively. This dissertation addresses these issues by proposing a Controlled Object-Oriented Language (COOL) model to disambiguate and analyze the English inputs' semantic meanings and implement a LEGO robot NLPr platform. Two main approaches that connect the current research in general-purpose NLP to NLPr are taken: (1) A domain-specific lexicon and function library serve as the syntax and semantic space. Even though NL can be complex and expressive, functions for the specific robot domain can be fulfilled with libraries built of a finite set of objects and functions. (2) An error-reporting and feedback mechanism detects erroneous sentences, explains possible reasons, and provides debugging and rewriting suggestions. The error-reporting and feedback systems are developed with a hybrid approach that combines rule-based methods such as FSM and dependency-based structural analysis with the data-based multi-label classification (MLC) method. Experiment results and user studies show that, with the proposed model and approaches reducing the ambiguity within the target domain, the NLPr system can process a relatively expressive controlled NL for robot motion control and generate executable codes based on the English input. When the system is confronted with erroneous sentences, it produces error messages, suggestions, and example sentences for users. NL's structural and semantic information can be transformed into the intermediate representations used for program synthesis with the language model and system proposed to resolve the situation where the considerable amount of data needed for a data-based model is unavailable. Doctor of Philosophy

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    Authors: Khushbu, Agarwal; Sutanay, Choudhury; Sindhu, Tipirneni; Pritam, Mukherjee; +8 Authors

    Developing prediction models for emerging infectious diseases from relatively small numbers of cases is a critical need for improving pandemic preparedness. Using COVID-19 as an exemplar, we propose a transfer learning methodology for developing predictive models from multi-modal electronic healthcare records by leveraging information from more prevalent diseases with shared clinical characteristics. Our novel hierarchical, multi-modal model (TransMED) integrates baseline risk factors from the natural language processing of clinical notes at admission, time-series measurements of biomarkers obtained from laboratory tests, and discrete diagnostic, procedure and drug codes. We demonstrate the alignment of TransMED's predictions with well-established clinical knowledge about COVID-19 through univariate and multivariate risk factor driven sub-cohort analysis. TransMED's superior performance over state-of-the-art methods shows that leveraging patient data across modalities and transferring prior knowledge from similar disorders is critical for accurate prediction of patient outcomes, and this approach may serve as an important tool in the early response to future pandemics. The research described in this paper was supported in part by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory, a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy and US National Science Foundation under grant 1838730. O.G. was supported by The Weintz Family COVID-19 Research Fund. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the funding agency. Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory; US National Science Foundation [1838730]; Weintz Family COVID-19 Research Fund Published version

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    Scientific Reports
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    Authors: Wilkerson, Stacey Underwood;

    Predominantly white institutions (PWIs) are experiencing a racial history crisis. This crisis is occurring partially in response to current events including the multiple deaths of Black men and women at the hands of White police officers: Michael Brown in 2014, Breonna Taylor in 2020, and George Floyd also in 2020. Additionally, there has been a resurgence of investigation and national debate around building names and statues on college campuses memorializing people who supported slavery or were members of hate groups. These events coupled with the lack of truth-telling around the roles of Black and African American people and other minoritized communities within the development and prosperity of colleges and universities has centered history as focal point in the diversity, equity, and inclusion spaces. Nearly all colleges and universities include diversity, equity, and inclusion as a center piece of their mission statements, but few address their racialized history. Often, the university's history is told from an ahistorical perspective which places whiteness at the center of the history narrative. With a conceptual framework incorporating both critical race theory and white institutional presence, the study interrogated how universities are telling the stories of their histories regarding African American people. The sample selected for the study included 16 universities designated as leaders in the field of diversity, equity and inclusion. The selected universities received the designation of Diversity Champion from Insight Into Diversity magazine. The history narratives, typically found on the About page of the universities' website, were examined for instances of white institutional presence and counternarratives. Findings were filtered through a critical whiteness framework resulting in four types of categories. Exemplar institutions were countering white institutional presence and whiteness through multiple instances of counternarratives, centering Black and African American history, and confronting racist ideologies within their institutional history narratives. The remaining three categories of institutions were discussed for these instances as well. Overall, the findings concluded that some universities have made progress in the area of historical truth telling, most universities have not fully engaged in this work. The study offered implications for further research in the areas of critical whiteness, white institutional presence, and diverse learning environments. Incorporating the findings of the exemplar university cases, the study also discussed implications for policy and practice for institutions interested in or working on investigating their histories as related to minoritized communities, but specifically histories involving African American people. Predominantly white institutions (PWIs) are experiencing a racial history crisis. This crisis is occurring partially in response to current events including the multiple deaths of Black men and women at the hands of White police officers: Michael Brown in 2014, Breonna Taylor in 2020, and George Floyd also in 2020. Additionally, there has been a resurgence of investigation and national debate around building names and statues on college campuses memorializing people who supported slavery or were members of hate groups. These events coupled with the lack of truth-telling around the roles of Black and African American people and other minoritized communities within the development and prosperity of colleges and universities has centered history as focal point in the diversity, equity, and inclusion spaces. Nearly all colleges and universities include diversity, equity, and inclusion as a center piece of their mission statements, but few address their racialized history. Often, the university's history is told from an ahistorical perspective which places whiteness at the center of the history narrative. With a conceptual framework incorporating both critical race theory and white institutional presence, the study interrogated how universities are telling the stories of their histories regarding African American people. The sample selected for the study included 16 universities designated as leaders in the field of diversity, equity and inclusion. Doctor of Philosophy

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: E. Thomas Ewing;

    Published version

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    Part of book or chapter of book . 2022
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    https://doi.org/10.4324/978100...
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      https://doi.org/10.4324/978100...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mason, Cody C.; Romans, Brian W.; Patterson, Molly O.; Stockli, Daniel F.; +1 Authors

    Cordilleran orogenic systems have complex, polycyclic magmatic and deformation histories, and the timescales and mechanisms of episodic orogenesis are still debated. Here, we show that detrital zircons (DZs) in terrigenous sediment from the late Pleistocene Amazon Fan, found at the terminus of the continent-scale Amazon River-fan system, record multiple, distinct modes of U-Pb crystallization ages and U-Th/He (ZHe) cooling ages that correlate to known South American magmatic and tectonic events. The youngest ZHe ages delineate two recent phases of Andean orogenesis; one in the Late Cretaceous - Paleogene, and another in the Miocene. Frequency analyses of the deep-time Phanerozoic record of DZ U-Pb and ZHe ages demonstrate a strong 72 Myr period in magmatic events, and 92 Myr and 57 Myr periods in crustal cooling. We interpret these results as evidence of changes in upper and lower plate coupling, associated with multiple episodes of magmatism and crustal deformation along the subduction-dominated western margin of South America. The authors wish to acknowledge Equinor for grant funding. Published version Equinor

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    Other literature type . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Taylor, Mia Rachel;

    Data is often high-dimensional. A good example of this is a spreadsheet with many columns. Visualizing high-dimensional data is a difficult task because it must capture all information in 2 or 3 dimensions. Andromeda is a tool that can project high-dimensional data into a scatterplot-like visualization. Data points that are considered similar are plotted near each other and vice versa. Users can alter how important certain parts of the data are to the plotting algorithm as well as move points directly to update the display based on the user-specified layout. These interactions within Andromeda allow data analysts to explore high-dimensional data based on their personal sensemaking processes. As high dimensional thinking and exploratory data analysis are being introduced into more classrooms, it is important to understand the ways in which students analyze high-dimensional data. To address this, this thesis presents two studies. The first study discusses how a middle school class used Andromeda for their engineering design assignments. The results indicate that using Andromeda in a collaborative way enriched the students' learning experience. The second study analyzes how college-level students, when given access to different interaction types in Andromeda, generate insights into a dataset. Students use different vocabulary supported by the interactions available to them, but not equally. The implications, as well as limitations, of these two studies are further discussed. Andromeda is an interactive visualization tool that projects high-dimensional data into a scatterplot-like visualization using Weighted Multidimensional Scaling (WMDS). The visualization can be explored through surface-level interaction (viewing data values), parametric interaction (altering underlying parameterizations), and observation-level interaction (directly interacting with projected points). This thesis presents analyses on the collaborative utility of Andromeda in a middle school class and the insights college-level students generate when using Andromeda. The first study discusses how a middle school class collaboratively used Andromeda to explore and compare their engineering designs. The students analyzed their designs, represented as high-dimensional data, as a class. This study shows promise for introducing collaborative data analysis to middle school students in conjunction with other technical concepts such as the engineering design process. Participants in the study on college-level students were given a version of Andromeda, with access to different interactions, and were asked to generate insights on a dataset. By applying a novel visualization evaluation methodology on students' natural language insights, the results of this study indicate that students use different vocabulary supported by the interactions available to them, but not equally. The implications, as well as limitations, of these two studies are further discussed. Master of Science

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    Authors: VanderLeest, Rebecca A.; Fosdick, Julie C.; Malkowski, Matthew A.; Romans, Brian W.; +3 Authors

    Backstripped tectonic basin subsidence histories are critical for interpreting phases of lithospheric deformation and paleoenvironmental change from the stratigraphic record. This study presents new subsidence modeling of the Rocas Verdes Backarc Basin (RVB) and Magallanes-Austral retroarc foreland basin (MAB) of southernmost South America to evaluate along-strike changes in tectonic subsidence related to the Late Jurassic through Miocene history of the Southern Andes. We compiled composite stratigraphic sections for seven basin localities that span 47 degrees-54 degrees S from published sedimentological records of paleoenvironment, paleobathymetry, and geochronology. Modeling results resolve regional trends in basin tectonic subsidence, uplift, and sedimentation rate that influenced the depositional environment during five broad phases of RVB-MAB development: (a) Late Jurassic tectonic subsidence and basin deepening associated with rift-related backarc extension that postdated regional diachronous rift-related magmatism. (b) Southward younging of Early to Late Cretaceous pronounced acceleration in tectonic subsidence interpreted as the initiation of flexural loading and development of the MAB foreland basin system. (c) Late Cretaceous (ca. 85-70 Ma) tectonic uplift within the central foredeep similar to 49 degrees to 52 degrees S, coeval with a shift from slope to shelf deposition at these latitudes. (d) A protracted period of low-magnitude basin uplift and relative tectonic quiescence during the Paleogene, with the exception of southernmost localities; and (e) Synchronous latest Oligocene-early Miocene tectonic subsidence linked to basin deepening and transgression across the northern and central basin sectors. Backstripped tectonic subsidence analysis corroborates existing interpretations for orogenic development in the RVB-MAB and sheds new light on complex polyphase basin histories where extension precedes convergence. We gratefully acknowledge student funding from the Geological Society of America (GSA) Student Research Grant Program, The Society of Sedimentary Geology (SEPM) student research grant, American Association of Petroleum Geologists (AAPG) Grants-in-Aid, and the University of Connecticut Nalwalk Award to RAV. Research was also supported by the U.S. National Science Foundation Award EAR-1649585 to JCF. We thank Platte River Associates for granting us an educational license for BasinMod (R). Discussions with Andrea Stevens-Goddard, Enrique Bostelmann, and Benjamin Daniels improved the scope of our work. We thank three anonymous reviewers and Associate Editor Augusto Rapalini for constructive reviews of our manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Geological Society of America (GSA) Student Research Grant Program; Society of Sedimentary Geology (SEPM) student research grant; American Association of Petroleum Geologists (AAPG); University of Connecticut Nalwalk Award; U.S. National Science Foundation [EAR-1649585] Public domain – authored by a U.S. government employee Published version

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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: Juergen Schieber; Zhiyang Li; Zalmai Yawar; Xiaomeng Cao; +2 Authors

    Understanding how mud moves and deposits is essential for conceptualizing the dynamic nature of surface environments and their ancient counterparts. Experimental study has largely been pursued by civil engineers, using kaolinite as an active ingredient. Yet, applying their data to the physical comprehension of mudstone sedimentology is hampered by multiple flume configurations between labs, and data sets tailored to specific engineering needs. The need for a better grasp of underlying processes is acute, given recent flume studies that show that moving suspensions form large bedload floccules, migrating floccule ripples and bed accretion under currents capable of moving sand grains. To advance mudstone sedimentology, integrated study of suspended sediment concentration, salinity and bed shear stress on the deposition of floccules is crucial. Described here is a set of tightly controlled experiments that explored suspended sediment concentrations from 70 to 900 mg/l, freshwater, brackish and marine salinities, flow velocities in the 5 to 50 cm/s range (equivalent to 0.01 to 0.58 Pa bed shear), measured the size of in-flow and bedload floccules, and the critical velocity of sedimentation that marks the onset of sustained bedload accumulation. The critical velocity of sedimentation of kaolinite clays is in the 26 to 28 cm/s flow velocity range (0.22 to 0.25 Pa), appears insensitive to a wide range of suspended sediment concentrations and salinities, and coincides with the formation of sand-size bedload floccules. Further decrease of flow velocity/bed shear stress is accompanied by a steady increase in the size of bedload floccules. Large bedload floccules appear to form in the high-shear basal part of the flow, a phenomenon requiring further investigation. Better understanding of the mechanisms that facilitate mud deposition from moving suspensions is critical for more realistic assessments of the depositional conditions of mud and mudstones, as well as for refining predictive models for the flux of fine-grained sediments across the Earth's surface. Funding for this research was provided by the sponsors of the IU Shale Research Consortium (Anadarko, Chevron, ConocoPhillips, ExxonMobil, Shell, Statoil, Marathon, Whiting, and Wintershall). A National Science Foundation equipment grant to J. Schieber (EAR-0318769) provided funds for the purchase of the analytical SEM that was used to acquire SEM images for this article. The paper also benefited from constructive suggestions by Drs Jo~ao TrabuchoAlexandre, Aubry DeReuil, Lauren Birgenheier, Peir Pufahl, Chris Paola and an anonymous reviewer. Dr David Bish of the Indiana University Department of Chemistry kindly provided the quantitative analysis of the kaolinite clay used in these experiments, as well as his insights into the peculiarities of industrially sourced kaolinite. We also thank Dr Juan Fedele from the ExxonMobil Research Labs for computing bed shear stress values from provided velocity profiles. Chevron; ConocoPhillips; ExxonMobil; Shell; Statoil; Marathon; National Science Foundation [EAR-0318769]; Whiting; Wintershall; Anadarko Published version

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    Authors: Chakravarty, Saurabh;

    Documents like legal depositions are used by lawyers and paralegals to ascertain the facts pertaining to a case. These documents capture the conversation between a lawyer and a deponent, which is in the form of questions and answers. Applying current automatic summarization methods to these documents results in low-quality summaries. Though extensive research has been performed in the area of summarization, not all methods succeed in all domains. Accordingly, this research focuses on developing methods to generate high-quality summaries of depositions. As part of our work related to legal deposition summarization, we propose a solution in the form of a pipeline of components, each addressing a sub-problem; we argue that a pipeline based framework can be tuned to summarize documents from any domain. First, we developed methods to parse the depositions, accounting for different document formats. We were able to successfully parse both a proprietary and a public dataset with our methods. We next developed methods to anonymize the personal information present in the deposition documents; we achieve 95% accuracy on the anonymization using a random sampling based evaluation. Third, we developed an ontology to define dialog acts for the questions and answers present in legal depositions. Fourth, we developed classifiers based on this ontology and achieved F1-scores of 0.84 and 0.87 on the public and proprietary datasets, respectively. Fifth, we developed methods to transform a question-answer pair to a canonical/simple form. In particular, based on the dialog acts for the question and answer combination, we developed transformation methods using each of traditional NLP, and deep learning, techniques. We were able to achieve good scores on the ROUGE and semantic similarity metrics for most of the dialog act combinations. Sixth, we developed methods based on deep learning, heuristics, and machine translation to correct the transformed declarative sentences. The sentence correction improved the readability of the transformed sentences. Seventh, we developed a methodology to break a deposition into its topical aspects. An ontology for aspects was defined for legal depositions, and classifiers were developed that achieved an F1-score of 0.89. Eighth, we developed methods to segment the deposition into parts that have the same thematic context. The segments helped in augmenting candidate summary sentences with surrounding context, that leads to a more readable summary. Ninth, we developed a pipeline to integrate all of the methods, to generate summaries from the depositions. We were able to outperform the baseline and state of the art summarization methods in a majority of the cases based on the F1, Recall, and ROUGE-2 scores. The performance gains were statistically significant for all of the scores. The summaries generated by our system can be arranged based on the same thematic context or aspect and hence should be much easier to read and follow, compared to the baseline methods. As part of our future work, we will improve upon these methods. We will refine our methods to identify the important parts using additional documents related to a deposition. In addition, we will work to improve the compression ratio of the generated summaries by reducing the number of unimportant sentences. We will expand the training dataset to learn and tune the coverage of the aspects for various deponent types using empirical methods. Our system has demonstrated effectiveness in transforming a QA pair into a declarative sentence. Having such a capability could enable us to generate a narrative summary from the depositions, a first for legal depositions. We will also expand our dataset for evaluation to ensure that our methods are indeed generalizable, and that they work well when experts subjectively evaluate the quality of the deposition summaries. Documents in the legal domain are of various types. One set of documents includes trial and deposition transcripts. These documents capture the proceedings of a trial or a deposition by note-taking, often over many hours. They contain conversation sentences that are spoken during the trial or deposition and involve multiple actors. One of the greatest challenges with these documents is that generally, they are long. This is a source of pain for attorneys and paralegals who work with the information contained in the documents. Text summarization techniques have been successfully used to compress a document and capture the salient parts from it. They have also been able to reduce redundancy in summary sentences while focusing on coherence and proper sentence formation. Summarizing trial and deposition transcripts would be immensely useful for law professionals, reducing the time to identify and disseminate salient information in case related documents, as well as reducing costs and trial preparation time. Processing the deposition documents using traditional text processing techniques is a challenge because of their form. Having the deposition conversations transformed into a suitable declarative form where they can be easily comprehended can pave the way for the usage of extractive and abstractive summarization methods. As part of our work, we identified the different discourse structures present in the deposition in the form of dialog acts. We developed methods based on those dialog acts to transform the deposition into a declarative form. We were able to achieve an accuracy of 87% on the dialog act classification. We also were able to transform the conversational question-answer (QA) pairs into declarative forms for 10 of the top-11 dialog act combinations. Our transformation methods performed better in 8 out of the 10 QA pair types, when compared to the baselines. We also developed methods to classify the deposition QA pairs according to their topical aspects. We generated summaries using aspects by defining the relative coverage for each aspect that should be present in a summary. Another set of methods developed can segment the depositions into parts that have the same thematic context. These segments aid augmenting the candidate summary sentences, to create a summary where information is surrounded by associated context. This makes the summary more readable and informative; we were able to significantly outperform the state of the art methods, based on our evaluations. Doctor of Philosophy

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    Authors: Zhan, Yue;

    Natural language (NL) is one of the most common mediums humans use daily to express and explain ideas and communicate with each other. In contrast, programming languages (PL) are the ``language'' humans use to communicate with machines. Because of the difference in the purpose, media, and audience, there is a considerable difference in their structure and capabilities. NL is more expressive and natural and sometimes can be rather complex, while PL is primarily short, straightforward, and not as expressive as NL. The need for programming has increased in recent years. However, the learning curve of programming languages can easily be months or more for novice users to learn. At the same time, all potential users are familiar with at least one NL. As such, natural language programming (NLPr), a technology that enables people to program with NL, holds excellent potential since it gives non-experts the ability to ``program'' with the language they already know and a Low-Code or even No-Code development experience. However, despite recent research into NLPr, many challenges with developing NLPr systems are yet to be addressed, namely how to disambiguate natural language semantics, how to validate inputs and provide helpful feedback with a limited amount of data, and how to effectively generate the executable programs based on the semantic meanings. This dissertation addresses these issues by proposing a Controlled Object-Oriented Language (COOL) model to disambiguate and analyze the English inputs' semantic meanings and implement a LEGO robot NLPr platform. Two main approaches that connect the current research in general-purpose NLP techniques to NLPr are taken: (1) The first is developing a domain-specific lexicon and function library with the designed COOL model to serve as the syntax and semantic space. Even though natural language can be extremely complex and expressive, the functions for the specific robot domain can be fulfilled with libraries built of a finite set of objects and functions. (2) An error-reporting and feedback mechanism detects erroneous sentences, explains possible reasons, and provides debugging and rewriting suggestions. The error-reporting and feedback systems are developed with a hybrid approach that combines rule-based methods such as FSM and dependency-based structural analysis with the data-based multi-label classification (MLC) method. Experiment results and user studies show that, with the proposed language model and approaches reducing the ambiguity within the target domain, the designed NLPr system can process a relatively expressive controlled natural language designed for robot motion control and generate executable codes based on the semantic information extracted. When the NLPr system is confronted with erroneous sentences, it produces detailed error messages and provides suggestions and sample sentences for possible fixes to users. NL's structural and semantic information can be transformed into the intermediate representations used for program synthesis with the simple language model and system proposed to resolve the situation where the considerable amount of data needed for a data-based model is unavailable. Natural language (NL) is a common medium humans use to express ideas and communicate with others, while programming languages (PL) are the ``language'' humans use to communicate with machines. As NL and PL were designed for different purposes, a considerable difference exists in the structure and capabilities. Programming using PL can take novices months to learn. Meanwhile, users are already familiar with NL. Therefore, natural language programming (NLPr) holds excellent potential by giving non-experts the ability to ``program'' with the language they already know and a Low-Code/No-Code development experience. However, many challenges with developing NLPr systems are yet to be addressed, namely how to disambiguate NL semantics, validate inputs and provide helpful feedback, and generate the executable programs based on semantic meanings effectively. This dissertation addresses these issues by proposing a Controlled Object-Oriented Language (COOL) model to disambiguate and analyze the English inputs' semantic meanings and implement a LEGO robot NLPr platform. Two main approaches that connect the current research in general-purpose NLP to NLPr are taken: (1) A domain-specific lexicon and function library serve as the syntax and semantic space. Even though NL can be complex and expressive, functions for the specific robot domain can be fulfilled with libraries built of a finite set of objects and functions. (2) An error-reporting and feedback mechanism detects erroneous sentences, explains possible reasons, and provides debugging and rewriting suggestions. The error-reporting and feedback systems are developed with a hybrid approach that combines rule-based methods such as FSM and dependency-based structural analysis with the data-based multi-label classification (MLC) method. Experiment results and user studies show that, with the proposed model and approaches reducing the ambiguity within the target domain, the NLPr system can process a relatively expressive controlled NL for robot motion control and generate executable codes based on the English input. When the system is confronted with erroneous sentences, it produces error messages, suggestions, and example sentences for users. NL's structural and semantic information can be transformed into the intermediate representations used for program synthesis with the language model and system proposed to resolve the situation where the considerable amount of data needed for a data-based model is unavailable. Doctor of Philosophy

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    Authors: Khushbu, Agarwal; Sutanay, Choudhury; Sindhu, Tipirneni; Pritam, Mukherjee; +8 Authors

    Developing prediction models for emerging infectious diseases from relatively small numbers of cases is a critical need for improving pandemic preparedness. Using COVID-19 as an exemplar, we propose a transfer learning methodology for developing predictive models from multi-modal electronic healthcare records by leveraging information from more prevalent diseases with shared clinical characteristics. Our novel hierarchical, multi-modal model (TransMED) integrates baseline risk factors from the natural language processing of clinical notes at admission, time-series measurements of biomarkers obtained from laboratory tests, and discrete diagnostic, procedure and drug codes. We demonstrate the alignment of TransMED's predictions with well-established clinical knowledge about COVID-19 through univariate and multivariate risk factor driven sub-cohort analysis. TransMED's superior performance over state-of-the-art methods shows that leveraging patient data across modalities and transferring prior knowledge from similar disorders is critical for accurate prediction of patient outcomes, and this approach may serve as an important tool in the early response to future pandemics. The research described in this paper was supported in part by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory, a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy and US National Science Foundation under grant 1838730. O.G. was supported by The Weintz Family COVID-19 Research Fund. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the funding agency. Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory; US National Science Foundation [1838730]; Weintz Family COVID-19 Research Fund Published version

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    Authors: Wilkerson, Stacey Underwood;

    Predominantly white institutions (PWIs) are experiencing a racial history crisis. This crisis is occurring partially in response to current events including the multiple deaths of Black men and women at the hands of White police officers: Michael Brown in 2014, Breonna Taylor in 2020, and George Floyd also in 2020. Additionally, there has been a resurgence of investigation and national debate around building names and statues on college campuses memorializing people who supported slavery or were members of hate groups. These events coupled with the lack of truth-telling around the roles of Black and African American people and other minoritized communities within the development and prosperity of colleges and universities has centered history as focal point in the diversity, equity, and inclusion spaces. Nearly all colleges and universities include diversity, equity, and inclusion as a center piece of their mission statements, but few address their racialized history. Often, the university's history is told from an ahistorical perspective which places whiteness at the center of the history narrative. With a conceptual framework incorporating both critical race theory and white institutional presence, the study interrogated how universities are telling the stories of their histories regarding African American people. The sample selected for the study included 16 universities designated as leaders in the field of diversity, equity and inclusion. The selected universities received the designation of Diversity Champion from Insight Into Diversity magazine. The history narratives, typically found on the About page of the universities' website, were examined for instances of white institutional presence and counternarratives. Findings were filtered through a critical whiteness framework resulting in four types of categories. Exemplar institutions were countering white institutional presence and whiteness through multiple instances of counternarratives, centering Black and African American history, and confronting racist ideologies within their institutional history narratives. The remaining three categories of institutions were discussed for these instances as well. Overall, the findings concluded that some universities have made progress in the area of historical truth telling, most universities have not fully engaged in this work. The study offered implications for further research in the areas of critical whiteness, white institutional presence, and diverse learning environments. Incorporating the findings of the exemplar university cases, the study also discussed implications for policy and practice for institutions interested in or working on investigating their histories as related to minoritized communities, but specifically histories involving African American people. Predominantly white institutions (PWIs) are experiencing a racial history crisis. This crisis is occurring partially in response to current events including the multiple deaths of Black men and women at the hands of White police officers: Michael Brown in 2014, Breonna Taylor in 2020, and George Floyd also in 2020. Additionally, there has been a resurgence of investigation and national debate around building names and statues on college campuses memorializing people who supported slavery or were members of hate groups. These events coupled with the lack of truth-telling around the roles of Black and African American people and other minoritized communities within the development and prosperity of colleges and universities has centered history as focal point in the diversity, equity, and inclusion spaces. Nearly all colleges and universities include diversity, equity, and inclusion as a center piece of their mission statements, but few address their racialized history. Often, the university's history is told from an ahistorical perspective which places whiteness at the center of the history narrative. With a conceptual framework incorporating both critical race theory and white institutional presence, the study interrogated how universities are telling the stories of their histories regarding African American people. The sample selected for the study included 16 universities designated as leaders in the field of diversity, equity and inclusion. Doctor of Philosophy

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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Doctoral thesis . 2022
    Data sources: VTechWorks
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ VTechWorksarrow_drop_down
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      VTechWorks
      Doctoral thesis . 2022
      Data sources: VTechWorks
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      This Research product is the result of merged Research products in OpenAIRE.

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