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175 results for “GRAPHICS”
Graphics for implanted brain-computer interfaces for communication and sensorimotor control applications.
<p>Updated information from Nature Reviews Bioengineering, doi: 10.1038/s44222-024-00239-5. Current as of 27 September 2024. Please reference the original publication if using these graphics. As the field moves into the "Translational Era", the original publication reviews the clinical trials up to December 2023. </p>
Graphic Illustration of our Digital Collections Data and Tracking Disease Workshop Session: Discussion and Synthesis
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Discussion section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Case Studies
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Case Studies section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Kelly Speer's Keynote Talk: Hosts, parasites, and microbiomes: A system for studying natural complexity in a changing world
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded and synthesized the Keynote Talk by Kelly Speer at the Digital Data 2024 Conference in Lawrence, Kansas in May of 2024. We include this resource, with permission, because of its relevance to our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Workshop Discussion Synthesis: A Public Health Perspective
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded and synthesized the key public health themes from our participant discussion session at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Litsa Wooten's Talk: Visualizing Mongolian Mammal Specimens and their Parasites Through Time
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this talk by Litsa Wooten at the Digital Data 2024 Conference in Lawrence, Kansas in May of 2024. We include this resource, with permission, because of its relevance to our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Neal Platt's Talk: Targeted sequencing of pathogen DNA from museum specimens
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Neal Platt at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Molly McDonough's Talk: Exploring bat coronaviruses using the FMNH cryo collection
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Molly McDonough at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Verity Mathis' Talk: Virome composition in fresh bat guano, frozen and fluid-preserved bat tissues
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Verity Mathis at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Kendra Phelp's Talk: A harmonized taxonomic resource is critical for accurately interpreting host-pathogen interactions
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Kendra Phelps at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Talks in our Digital Collections Data and Tracking Disease Workshop Section: Museum Perspectives
<p>Karina Branson of <a href="https://www.conversketch.com/" target="_blank" rel="noopener">ConverSketch</a>, graphically recorded and helped to facilitate this Museum Perspectives section of our NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Volcano-Independent Seismic Recognition (VI.VSR): case studies with 'geoStudio' graphical interface
<p>Video-documentation of the <strong><em><a href="https://zenodo.org/record/3594080#.X9JP-XVudQJ">geoStudio</a></em> Volcano-Independent Seismic Recognition (VI.VSR) software</strong>, supported by the <a href="https://cordis.europa.eu/project/id/749249"><strong><em>VULCAN.ears</em></strong></a> EU-funded project (H2020-MSCA-IF-2016 Grant) and referenced in the <em>"Practical Volcano-Independent Recognition of Seismic Events: VULCAN.ears project" - </em>(Cortés et al., Frontiers in Earth Sciences, 2021) article. <em><strong>VI.VSR aim</strong></em> is to automatically detect and classify volcano-seismic events in any volcano 'V' of the world by models built by other volcanoes data. This provides volcano-seismic catalogs of the given volcano 'V', without the fuss of designing a custom recognition system for it, being specially useful in real-time monitoring scenarios.</p> <p>The material includes 2 VDs:</p> <ol> <li><em>"VI.VSR+geoStudio_intro.mp4"</em> -> introducing the main idea and concepts behind the Volcano-Independent Seismic Recognition (VI.VSR) and presenting <em>geoStudio</em> and its role in the whole <em>VULCAN.ears</em> platform.</li> <li><em>"VI.VSR.by.geoStudio_case.studies.mp4"</em> -> running the VI.VSR case studies presented in the <em>(Cortés et al., 2021)</em> manuscript.</li> </ol> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No.[749249] (VULCAN.ears).</p>
A Practical Tool-Chain for the Development of Coordination Scenarios - Graphical Modeler, DSL, Code Generators and Automaton-Based Simulator
<p>The Peer Model is a modeling tool for coordination based on blackboard-based collaboration. </p> <p>The tool-chain consists of a modeler, translator and simulator.</p> <p>Its goal is to help developers of distributed and concurrent coordination software better understand algorithms and identify deficiencies from the beginning.</p> <p><br> </p>
Graphical abstract_CoBiol_260922
<p>With the static <a href="https://www.linkedin.com/feed/hashtag/?keywords=global&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#global</a> growth 🌏 of the <a href="https://www.linkedin.com/feed/hashtag/?keywords=biomass&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#biomass</a>-derived <a href="https://www.linkedin.com/feed/hashtag/?keywords=fuel&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#fuel</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=supplychain&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#supplychain</a>, coupled with their inclusion in the long-term <a href="https://www.linkedin.com/feed/hashtag/?keywords=decarbonization&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#decarbonization</a> of many transport enterprises, the sector still addresses the following <a href="https://www.linkedin.com/feed/hashtag/?keywords=questions&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#questions</a>: are the emerging technologies assessing the <a href="https://www.linkedin.com/feed/hashtag/?keywords=sustainability&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#sustainability</a> and <a href="https://www.linkedin.com/feed/hashtag/?keywords=scalability&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#scalability</a> of biofuels? and if so, what are the <a href="https://www.linkedin.com/feed/hashtag/?keywords=challenges&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#challenges</a> in the implementation of the future global <a href="https://www.linkedin.com/feed/hashtag/?keywords=energy&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#energy</a>– <a href="https://www.linkedin.com/feed/hashtag/?keywords=water&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#water</a>–<a href="https://www.linkedin.com/feed/hashtag/?keywords=climate&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#climate</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=nexus&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#nexus</a>?<br> <br> Despite <a href="https://www.linkedin.com/feed/hashtag/?keywords=hydrothermal&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#hydrothermal</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=liquefaction&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#liquefaction</a> (HTL) being a competitive technology and apart from <a href="https://www.linkedin.com/feed/hashtag/?keywords=crudeoil&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#crudeoil</a> as the target product, the major challenge limiting the economic viability and technical scalability of the HTL-related process is the safe disposal of generated by-products, including nearly 25 wt.% to 50 wt.% post-hydrothermal <a href="https://www.linkedin.com/feed/hashtag/?keywords=aqueous&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#aqueous</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=phase&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#phase</a> (HTL-AP 💧) and 5 wt.% to 20 wt.% solid <a href="https://www.linkedin.com/feed/hashtag/?keywords=hydrochar&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#hydrochar</a> residues (HCs).<br> <br> <a href="https://www.linkedin.com/feed/hashtag/?keywords=integrating&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#Integrating</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=adsorbents&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#adsorbents</a> such as commercially <a href="https://www.linkedin.com/feed/hashtag/?keywords=activatedcarbon&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#activatedcarbon</a> and <a href="https://www.linkedin.com/feed/hashtag/?keywords=zeolites&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#zeolites</a> can be a potential step to the removal of xenobiotic and recalcitrant <a href="https://www.linkedin.com/feed/hashtag/?keywords=organic&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#organic</a> and <a href="https://www.linkedin.com/feed/hashtag/?keywords=nutrient&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#nutrient</a> compounds from HTL-AP. However, these expensive adsorbents require a substitute for adsorption sustainability. Solid HCs, which are generated from HTL with carbon as the major element, can be used as low-cost adsorbents. However, its <a href="https://www.linkedin.com/feed/hashtag/?keywords=porosity&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#porosity</a> of 0.058–0.082 cm3/g and BET-specific surface area of 1.56–17 m2/g remain comparatively low because of the formation and condensation of hydrocarbons on the surface, thereby clogging pores and reducing its <a href="https://www.linkedin.com/feed/hashtag/?keywords=adsorption&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#adsorption</a> capacity. To the best of our knowledge, existing HTL studies have well-characterized crude bio-oils but have not focused on hydrochar except for primary details such as yield and ultimate analysis. Furthermore, the use of HTL hydrochar as an alternative low cost for <a href="https://www.linkedin.com/feed/hashtag/?keywords=commercial&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#commercial</a> adsorbents and <a href="https://www.linkedin.com/feed/hashtag/?keywords=wastewater&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#wastewater</a> <a href="https://www.linkedin.com/feed/hashtag/?keywords=remediation&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#remediation</a> purposes is very less explored in comparison to pyrolytic char. Hence, the focus of our just available online accepted article is to contribute to the knowledge development of these <a href="https://www.linkedin.com/feed/hashtag/?keywords=gaps&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6980062930067189760">#gaps</a>.</p>
Hoofprints in the Sand Graphics: Figs. 1-11
<p>Figure 1. Map of sites included in the LSI analysis. </p> <p>Figure 2. Landmark (red) and SSLM (blue) configuration used in the GMM study, after Pöllath et al.( 2019).</p> <p>Figure 3. LSI values for length (left) and width (right) grouped by zone (Coast/Inland) and subset into era (Bronze Age/Iron Age).</p> <p>Figure 4. Distributions of LSI length values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values.</p> <p>Figure 5. Distributions of LSI width values per site and period. Sample size is represented on the y-axis, and LSI values are represented on the x-axis. Vertical black dashed line and text within the facets represent mean values.</p> <p>Figure 6. A scatter diagram of the two ADI indexes, Bd/Dl and Dl/GLl, formulated from linear measurements taken on the N=130 astragali included in the GMM analysis, modified after Davis (2017a: 65, fig. 9.3) (used with permission).</p> <p>Figure 7. Results of the log-transformed centroid size analysis. The median size of astragali increases in the Persian period in Tell Keisan.</p> <p>Figure 8. Biplot of the first two principal components, points are color-coded by context and sized according to log centroid size value. Thin plate spline (TPS) warp grids visualize morphological change between the minimum and maximum shapes along PC1 (x-axis) and PC2 (y-axis).</p> <p>Figure 9. Boxplots depicting the range of variation along PC1 (left) and PC2 (right).</p> <p>Figure 10. 10-PC’s shape space volume occupied by the specimens from each context.</p> <p>Figure 11. A: Outlier specimen from Persian period Tell Keisan (Cat. #588). B: Modern sheep (O. aries) comparative specimen from Israel (Cat. #596).</p>
PhysiCell Studio: a graphical tool to make agent-based modeling more accessible. Supplemental material.
<p>Defining a multicellular model can be challenging. There may be hundreds of parameters that specify the attributes and behaviors of objects. In the best case, the model will be defined using some format specification, i.e., a markup language, that will provide easy model sharing (and a minimal step toward reproducibility). PhysiCell is an open source, physics-based multicellular simulation framework with an active and growing user community. It uses XML to define a model and, traditionally, users needed to manually edit the XML to modify the model. PhysiCell Studio is a tool to make this task easier. It provides a graphical user interface that allows editing the XML model definition, including the creation and deletion of fundamental objects: cell types and substrates in the microenvironment. It also lets users build their model by defining initial conditions and biological rules, run simulations, and view results interactively. PhysiCell Studio has evolved over multiple workshops and academic courses in recent years which has led to many improvements. There is both a desktop and cloud version. Its design and development has benefited from an active undergraduate and graduate research program. Like PhysiCell, the Studio is open source software and contributions from the community are encouraged. This dataset provides Supplemental material for the PhysiCell Studio publication.</p>
Supporting information of a study for the definition and evaluation of a graphical user interface for housing co-design
<p>This dataset is from a study that intends to define, prototype and test a graphical user interface for a housing co-design system. To define the requirements of the interface, we conducted interviews with professionals of architecture, urbanism and social sciences areas, as well as with housing cooperatives and inhabitants of these institutions. An interface solution was prototyped, tested and refined. Then we conducted a heuristic evaluation and a summative evaluation. Such evaluations involved the testing of a high-fidelity prototype, to receive feedback from UX/UI experts, potential users (inhabitants) and architects.</p> <p>S1_File refers to the interview protocol used with the three groups of interviewees. We share the English and Portuguese versions of the interviews with professionals and the original (Portuguese) and translated versions of the remaining ones since these were conducted in Portuguese.</p> <p>S2_File is a dataset reporting the results of the interviews. Each question includes the answers given and the identification (anonymized) of the interviewees who responded to that question.</p> <p>S3_File describes the usability issues identified by the experts during the heuristic evaluation of the high-fidelity prototype. The first page organizes the issues by severity (left) and priority (right). The remaining pages have a table for each issue, including rows for problem designation, heuristic violated, problem description, solution proposal, severity degree, and an image of the interface pointing to the referred issue.</p> <p>S4_File refers to the results of the heuristic evaluation. It includes the identification of each issue, which expert (anonymized) identified such issue, and the heuristic it violates, with the sum of the times each heuristic was violated at the end of each column. At the right, a table presents the consolidation of issues, organized by priority, with columns identifying the issue, severity level, frequency, and priority.</p> <p>S5_File is the script given to potential users to experiment with the interface during the summative evaluation. This script guides the user through the tasks to perform since the prototype does not have all the features functioning.</p> <p>S6_File refers to the questionnaires applied during the summative evaluation with inhabitants. It includes a preliminary questionnaire, a Single Ease Question (SEQ) questionnaire, a System Usability Scale (SUS) questionnaire, and a Graphical User Interface (GUI) questionnaire.</p> <p>S7_File refers to the results of the summative evaluation with inhabitants (potential users).</p> <ul> <li>Page A refers to the preliminary questionnaire with demographic information such as age, gender, education, relationship with digital technologies, etc. Each field corresponds with each inhabitant (anonymised) and the sum and percentage. In the middle, a table presents a summary of the consolidation. In the right possible relations are presented. </li> <li>Page B presents the results of the SEQ questionnaire, identifying the ratings each inhabitant (anonymized) gave each task. A summary of such values is at the right. </li> <li>On page C, the result of each rating for the SUS questionnaire given by each inhabitant (anonymized) is shown. At the bottom is the calculation of the SUS score.</li> <li>Page D presents the GUI questionnaire results for each inhabitant (anonymized), with the average and SD identified for each question. A summary of such results is on the right.</li> <li>Page E holds the notes taken by the researchers based on their observations regarding task performance. The information is organized in tables for each step of each task and includes the completeness, attempts, and time taken for each inhabitant (anonymized) to complete such task. Also, the sum, percentage, average, and SD are registered. Next to each task is a table identifying how many participants accomplished the task at the first attempt.</li> <li>Page F refers to the strong and weak aspects identified by the inhabitants. Strong and weak aspects are identified, as well as which inhabitant (anonymized) has identified them. The sum and percentage are also given. At the right, there is a table with the consolidation of results by combining similar answers. </li> </ul> <p>S8_File refers to the results of the discussion with architects after experiencing the interface. Such results relate to the positive and negative aspects that the architects identified in the interface and its usefulness for architecture. The left table identifies the strong and weak aspects that architects (anonymized) identified and the sum and percentage associated with them. The table on the right consolidates such results, with similar responses combined.</p>
TOPS Graphic for the 2022 PACE Applications Workshop
<p>This graphic was made to be displayed on a TV screen during the NASA 2022 PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) Applications Workshop held on September 14-15, 2022. </p>
Graphic for Twitter - Call for Open Science Success Stories
<p>This graphic was created to share on Twitter to encourage people to submit compelling stories about open science practices in research to the TOPS team. This graphic was tweeted out on Dr. Chelle Gentemann's Twitter account on August 23, 2022. <a href="https://twitter.com/ChelleGentemann/status/1562049765566709764?s=20&t=kkxyz4dx1vA6obyveL5WNA">Link to tweet</a>.</p>
Tan-Tári Bricks graphical abstract in iGEM Design League 2022
<p>Graphical abstract of Tan-Tári Bricks Team from the University of Chile participating in iGEM Design League 2022.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.