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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 1999
    In:  American Entomologist Vol. 45, No. 3 ( 1999), p. 149-155
    In: American Entomologist, Oxford University Press (OUP), Vol. 45, No. 3 ( 1999), p. 149-155
    Type of Medium: Online Resource
    ISSN: 2155-9902 , 1046-2821
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 1999
    detail.hit.zdb_id: 2410861-3
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    eLife Sciences Publications, Ltd ; 2021
    In:  eLife Vol. 10 ( 2021-12-29)
    In: eLife, eLife Sciences Publications, Ltd, Vol. 10 ( 2021-12-29)
    Abstract: Embryogenesis is a multiscale process during which developmental symmetry breaking transitions give rise to complex multicellular organisms. Recent advances in high-resolution live-cell microscopy provide unprecedented insights into the collective cell dynamics at various stages of embryonic development. This rapid experimental progress poses the theoretical challenge of translating high-dimensional imaging data into predictive low-dimensional models that capture the essential ordering principles governing developmental cell migration in complex geometries. Here, we combine mode decomposition ideas that have proved successful in condensed matter physics and turbulence theory with recent advances in sparse dynamical systems inference to realize a computational framework for learning quantitative continuum models from single-cell imaging data. Considering pan-embryo cell migration during early gastrulation in zebrafish as a widely studied example, we show how cell trajectory data on a curved surface can be coarse-grained and compressed with suitable harmonic basis functions. The resulting low-dimensional representation of the collective cell dynamics enables a compact characterization of developmental symmetry breaking and the direct inference of an interpretable hydrodynamic model, which reveals similarities between pan-embryo cell migration and active Brownian particle dynamics on curved surfaces. Due to its generic conceptual foundation, we expect that mode-based model learning can help advance the quantitative biophysical understanding of a wide range of developmental structure formation processes.
    Type of Medium: Online Resource
    ISSN: 2050-084X
    Language: English
    Publisher: eLife Sciences Publications, Ltd
    Publication Date: 2021
    detail.hit.zdb_id: 2687154-3
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  • 3
    Online Resource
    Online Resource
    MDPI AG ; 2021
    In:  ISPRS International Journal of Geo-Information Vol. 10, No. 6 ( 2021-06-12), p. 407-
    In: ISPRS International Journal of Geo-Information, MDPI AG, Vol. 10, No. 6 ( 2021-06-12), p. 407-
    Abstract: The presented study aims to investigate the relationship between the use of emojis in location-based social media and the location of the corresponding post in terms of perceived objects and conducted activities connected to this place. The basis for this is not a purely frequency-based assessment, but a specifically introduced measure called typicality. To evaluate the typicality measure and examine the assumption that emojis are contextual indicants, a dataset of worldwide geotagged posts from Instagram relating to sunset and sunrise events is used, converted to a privacy-aware version based on a Hyperloglog approach. Results suggest that emojis can often provide more nuanced information about user activities and the surrounding environment than is possible with hashtags. Thus, emojis may be suitable for identifying less obvious characteristics and the sense of a place. Emojis are already explored in research, but mainly for sentiment analysis, for semantic studies or as part of emoji prediction. In contrast, this work provides novel insights into the user’s spatial or activity context by applying the typicality measure and therefore considers emojis contextual indicants.
    Type of Medium: Online Resource
    ISSN: 2220-9964
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2655790-3
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  • 4
    Online Resource
    Online Resource
    Copernicus GmbH ; 2020
    In:  Abstracts of the ICA Vol. 2 ( 2020-10-08), p. 1-2
    In: Abstracts of the ICA, Copernicus GmbH, Vol. 2 ( 2020-10-08), p. 1-2
    Abstract: Abstract. The starting point for developing a new map was defined by the requirements of the “MeinGrün” project (can be translated as ‘my green’ project). The aim is the development of a mobile app, which enables routing to urban areas, including suggestions for attractive places for different activities. A specific map style was designed to communicate information related to green spaces effectively and to make users excited about the topic of the project.Among other reasons, we also want to apply our knowledge on vector tile generation and use it in teaching. For the demonstration of our research on generalization, it is beneficial to offer a web map service because such a service allows illustrating developed methods and results. Finally, the experience enables us to train students in the design and development of customized styles for zoomable web maps.The aim is to build a map service with several zoom levels up to small scales using data from OpenStreetMap and NaturalEarth. For better adaptivity, it is aimed to offer the map as vector and raster tiles with the same style. Besides, making high-resolution raster tiles available for retina displays is considered as well. The rationale is that everyone can choose the appropriate method of delivery for different contexts of application. These requirements result in some technological challenges: provide vector and raster tiles at the same time and style, keep the computation time for an update, and generation low. For providing and delivering up to date data, on-the-fly map generalization has been implemented, e.g., scale-dependent selection, simplification, and aggregation of various features.Figure 1 shows our result, a map in warm colors, and a reduced information load for serving a reference map. The visualization of roads with a simple line is unique, but this was also the intension of the applied research project: the production of something unique and easy rememberable for the “MeinGrün” project. The hill-shading uses raster tiles while all other map features work with vector tiles.The data transformation from the OpenStreetMap format to the spatial PostgreSQL/PostGIS database has been applied with IMPOSM, a well-documented and efficient tool. GDAL is used to import the NaturalEarth data and doing some processing steps. PostgreSQL and its spatial extension PostGIS serve in many web-mapping projects as a data store and offer a wide range of options for processing data. After specified queries are applied, the t_rex software generates the vector tiles from the database, which are then packed as MBtiles using mbutil. Finally, Tileserver GL is used to serve vector and raster tiles, including further necessary additions such as style, sprites, and glyphs.To sum up, we already have a working service, which is available on our server with an ongoing blog about the project. Still, it is a work on progress project that needs further research and development. For example, the integration of Wikipedia/Wikidata information for selecting place by their importance, transliteration of no-Latin place names for a world-wide coverage, and more and better labeling of features. Now the map extent is scale depended and covers at low zoom levels the whole world. In contrast, the higher zoom levels are only available in Dresden and Heidelberg to match the requirements of the “MeinGrün” project but will be extended in the future.
    Type of Medium: Online Resource
    ISSN: 2570-2106
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2020
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  • 5
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 31, No. 1_Supplement ( 2022-01-01), p. IA-52-IA-52
    Abstract: INTRODUCTION Under-representation in health-related research is one of a multitude of factors that contribute to cancer disparities experienced by African American and Latinx communities. Barriers to research participation stem from historical social injustices, are multi-faceted and include factors specific to the research process, research team members and community experiences and expectations about research participation. Informed consent is a longitudinal process and represents an opportunity to address these barriers and potentially improve access to research by individuals from underrepresented groups. The purpose of the Strengthening Translational Research in Diverse Enrollment (STRIDE) study was to develop and test an integrated, literacy- and culturally-sensitive, multi-component intervention that addresses barriers to research participation during the informed consent process. METHODS A multi-pronged community engaged approach was used to inform the development the three components of the STRIDE intervention. At each of the three study sites, Community Investigators, local community members of diverse racial/ethnic backgrounds, contribute to intervention development, pilot testing and dissemination activities. Community engagement studios provided a semi-structured opportunity to solicit feedback from community experts in a facilitated group regarding the relevance, usability and understandability of the STRIDE intervention components. Additionally, component-specific approaches to obtaining community input were utilized. RESULTS The three components were developed and refined with community input. The STRIDE intervention includes: (1) an electronic consent (eConsent) framework within the REDCap software platform that incorporates tools designed to facilitate material comprehension and relevance, (2) a storytelling intervention in which prior research participants from diverse backgrounds share their experiences, and (3) a simulation-based training program for research assistants that emphasizes cultural competency and communication skills for assisting in the informed consent process. CONCLUSIONS The STRIDE project had produced an integrated set of interventions that are available to support researchers across the CTSA hubs and beyond in efforts to enhance diversity in clinical research. Early dissemination of STRIDE intervention components include utilization in national COVID-19 trials and research networks. Citation Format: Stephenie C. Lemon, Jeroan J. Allison, Maria I. Danila, Karin Valentine Goins, German Chiriboga, Melissa Fischer, Melissa Puliafico, Amy S. Mudano, Elizabeth J. Rahn, Jeanne Merchant, Colleen E. Lawrrence, Leah Dunkel, Tiffany Israel, Bruce Barton, Fred Jenoure, Tiffany Alexander, Danny Cruz, Marva Douglas, Jacqueline Sims, Al Richmond, Erik Roberson, Carol Chambless, Paul A. Harris, Kenneth G. Saag. Improving access to research among individuals from under-represented racial and ethnic minority communities: The Strengthening Research In Diverse Enrollment (STRIDE) Study [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr IA-52.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 6
    Online Resource
    Online Resource
    Society for Imaging Science & Technology ; 2019
    In:  Electronic Imaging Vol. 31, No. 16 ( 2019-1-13), p. 10-1-10-7
    In: Electronic Imaging, Society for Imaging Science & Technology, Vol. 31, No. 16 ( 2019-1-13), p. 10-1-10-7
    Type of Medium: Online Resource
    ISSN: 2470-1173
    Language: Unknown
    Publisher: Society for Imaging Science & Technology
    Publication Date: 2019
    detail.hit.zdb_id: 3029941-X
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  • 7
    In: Medical Physics, Wiley, Vol. 48, No. 7 ( 2021-07), p. 3654-3664
    Abstract: Anthropometry is a method for quantifying body size and shape often used to derive body composition and health risk prediction models. Recent technology advancements led to development of three‐dimensional (3D) optical scanners that can overcome most of the limitations associated with manual anthropometric data collection. However, each of the currently available devices offers proprietary measurements that do not match conventional anthropometric definitions. The aim of the current study was to develop and then evaluate the precision and accuracy of new “universal” 3D optical analysis software that calculates digital anthropometric volumes using identical standard landmarks across scanners. Methods Dual‐energy x‐ray absorptiometry (DXA) and air displacement plethysmography (ADP) total body and regional volume and fat mass reference measurements and 3D optical scans from two proprietary devices were collected from 356 participants to evaluate the robustness of total body and regional volume and fat mass measurements calculated by the developed software. Linear regression modeling with threefold cross validation was used to evaluate total body and regional fat masses from 3D scans. Results Total body and regional volumes measured by DXA and ADP had strong associations with corresponding estimates from the commercial 3D optical scanners coupled with the universal software (e.g., R 2  = 0.98 for Styku and R 2  = 1.00 for SS20, for both DXA and ADP comparisons). Regional body volumes also had strong correlation between DXA and the 3DO scanners (e.g., for arm, leg and trunk, respective R 2 s of 0.75, 0.86, and 0.97 for Styku and 0.79, 0.89, and 0.98 for SS20). Similarly, there were strong associations between DXA‐ measured total body and regional fat mass and 3D optical estimates calculated by the universal software (e.g., for total body, arm, leg and trunk, respective R 2 s of 0.86, 0.72, 0.77, and 0.88 for Styku and 0.84, 0.76, 0.78, and 0.85 for SS20). Absolute differences in volumes and fat mass between the reference methods and the universal software values revealed underlying proprietary scanner differences that can be improved when designing future devices. Conclusions The current study suggests that, when compared against values calculated using DXA and ADP, the universal software was able to measure total and regional body volumes reliably from scans obtained by two different scanners. The universal software, with future refinements, combined with potential optical scanner design improvements, creates new opportunities for developing large multicenter anthropometric databases with uniformly defined body dimensions that can be used for modeling health risks. Clinical Trial Registration ID Shape Up! Adults Study, NCT0363785.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1466421-5
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  • 8
    In: Cancer, Wiley, Vol. 89, No. 10 ( 2000-11-15), p. 2117-2121
    Type of Medium: Online Resource
    ISSN: 0008-543X , 1097-0142
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2000
    detail.hit.zdb_id: 1479932-7
    detail.hit.zdb_id: 2599218-1
    detail.hit.zdb_id: 2594979-2
    detail.hit.zdb_id: 1429-1
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  • 9
    Online Resource
    Online Resource
    Modern Language Association (MLA) ; 2000
    In:  adfl
    In: adfl, Modern Language Association (MLA)
    Type of Medium: Online Resource
    ISSN: 0148-7639
    Language: English
    Publisher: Modern Language Association (MLA)
    Publication Date: 2000
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  • 10
    In: PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 2 ( 2023-2-22), p. e0280423-
    Abstract: Events profoundly influence human-environment interactions. Through repetition, some events manifest and amplify collective behavioral traits, which significantly affects landscapes and their use, meaning, and value. However, the majority of research on reaction to events focuses on case studies, based on spatial subsets of data. This makes it difficult to put observations into context and to isolate sources of noise or bias found in data. As a result, inclusion of perceived aesthetic values, for example, in cultural ecosystem services, as a means to protect and develop landscapes, remains problematic. In this work, we focus on human behavior worldwide by exploring global reactions to sunset and sunrise using two datasets collected from Instagram and Flickr. By focusing on the consistency and reproducibility of results across these datasets, our goal is to contribute to the development of more robust methods for identifying landscape preference using geo-social media data, while also exploring motivations for photographing these particular events. Based on a four facet context model, reactions to sunset and sunrise are explored for Where, Who, What, and When. We further compare reactions across different groups, with the aim of quantifying differences in behavior and information spread. Our results suggest that a balanced assessment of landscape preference across different regions and datasets is possible, which strengthens representativity and exploring the How and Why in particular event contexts. The process of analysis is fully documented, allowing transparent replication and adoption to other events or datasets.
    Type of Medium: Online Resource
    ISSN: 1932-6203
    Language: English
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2023
    detail.hit.zdb_id: 2267670-3
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