cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
GPU-Assisted Scatterplots for Millions of Call Events
Creators: name: Rees, Dylan
name: Roberts, Richard C.
name: Laramee, Robert S.
name: Brookes, Paul
name: D'Cruze, Tony
name: Smith, Gary A.
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Information visualization
Visualization toolkits

description: With four percent of the working population employed in call centers in both the United States and the UK, the contact center industry represents a sizable proportion of modern industrial landscapes. As with most modern industries, data collection is de rigueur, producing gigabytes of call records that require analysis. The scatterplot is a well established and understood form of data visualization dating back to the 17th century. In this paper we present an application for visualizing large call centre data sets using hardware-accelerated scatterplots. The application utilizes a commodity graphics card to enable visualization of a month's worth of data, enabling fast filtering of multiple attributes. Filtering is implemented using the Open Computing Language (OpenCL), providing significant performance improvement over traditional methods. We demonstrate the value of our application for exploration and analysis of millions of call events from a real-world industry partner. Domain expert feedback from our industrial partners is reported.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization I
description: 71
description: 79
description: Dylan Rees, Richard C. Roberts, Robert S. Laramee, Paul Brookes, Tony D'Cruze, and Gary A. Smith
description: CCS Concepts: Human-centered computing --> Information visualization; Visualization toolkits
Uptake Ict, An Idea That Stands Against Digital Illiteracy
Creators: name: Dias, Isabel
name: Barbas, Maria
name: Falé, Isabel
name: Branco, Paulo
Publisher: name: Zenodo
Year: 2017

description: #Uptake_ICT2life-cycle: digital literacy and inclusion to learners with disadvantaged background# is an Erasmus + project that aims at enhancing digital literacy among adults with disadvantaged backgrounds. The partners have produced didactic materials and pedagogical guidelines to meet this aim. Based on these materials, a group of stakeholders trained several groups of citizens. Data collected both with trainers and trainees is here analysed and the initial conclusions are reached. According to the obtained results, this kind of flexible, but certified education seems to be the most successful way to increase digital literacy among adult populations.
Additional file 1 of EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis
Creators: name: Glotzbach, Annika
name: Rohlf, Katharina
name: Gonscharow, Anastasia
name: Lüke, Simon
name: Demirci, Özlem
name: Begher-Tibbe, Brigitte
name: Overbeck, Nina
name: Reinders, Jörg
name: Cadenas, Cristina
name: Hengstler, Jan G.
name: Edlund, Karolina
name: Marchan, Rosemarie
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Developmental Biology
Cancer

description: Additional file 1. Supplementary Table S1: List of used reagents including (A) shRNA and siRNA oligos, (B) QuantiTect primer assays and (C) antibodies.
Additional file 2 of EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis
Creators: name: Glotzbach, Annika
name: Rohlf, Katharina
name: Gonscharow, Anastasia
name: Lüke, Simon
name: Demirci, Özlem
name: Begher-Tibbe, Brigitte
name: Overbeck, Nina
name: Reinders, Jörg
name: Cadenas, Cristina
name: Hengstler, Jan G.
name: Edlund, Karolina
name: Marchan, Rosemarie
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Developmental Biology
Cancer

description: Additional file 2. Supplementary Material and Methods: Detailed description of material and methods, including EDI3 silencing, cell culture conditions of SUM190PT, viability of adherent cells and metabolite analysis
Warum Nachhaltige Mobilität Im Tourismus?
Creators: name: Sonderegger, Roger (Autor/in)
Publisher: name: Zenodo
Year: 2018
Subjects: Nachhaltige Mobilität
EU-Projekt
Transdanube Pearls
Donau

description: Kein Abstract vorhanden.
description: + ID der Publikation: hslu_56054 + Art des Beitrages: Keynote an Praxisveranstaltung + Veranstalter: Transdanube Pearls + Sprache: Deutsch + Letzte Aktualisierung: 2018-10-10 16:46:36
Additional file 3 of EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis
Creators: name: Glotzbach, Annika
name: Rohlf, Katharina
name: Gonscharow, Anastasia
name: Lüke, Simon
name: Demirci, Özlem
name: Begher-Tibbe, Brigitte
name: Overbeck, Nina
name: Reinders, Jörg
name: Cadenas, Cristina
name: Hengstler, Jan G.
name: Edlund, Karolina
name: Marchan, Rosemarie
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Developmental Biology
Cancer

description: Additional file 3: Supplementary Table S2: Transition data for measurement of metabolites
sj-docx-1-rsh-10.1177_17579139231180746 – Supplemental material for A systematic review of the effectiveness of community-based interventions aimed at improving health literacy of parents/carers of children
Creators: name: Belfrage, SL
name: Husted, M
name: Fraser, SDS
name: Patel, S
name: Faulkner, JA
Publisher: name: SAGE Journals
Year: 2023
Subjects: classificationCode: 111708
subject: Health and Community Services
classificationCode: 111799
subject: Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-rsh-10.1177_17579139231180746 for A systematic review of the effectiveness of community-based interventions aimed at improving health literacy of parents/carers of children by SL Belfrage, M Husted, SDS Fraser, S Patel and JA Faulkner in Perspectives in Public Health
sj-docx-7-rsh-10.1177_17579139231180746 – Supplemental material for A systematic review of the effectiveness of community-based interventions aimed at improving health literacy of parents/carers of children
Creators: name: Belfrage, SL
name: Husted, M
name: Fraser, SDS
name: Patel, S
name: Faulkner, JA
Publisher: name: SAGE Journals
Year: 2023
Subjects: classificationCode: 111708
subject: Health and Community Services
classificationCode: 111799
subject: Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-7-rsh-10.1177_17579139231180746 for A systematic review of the effectiveness of community-based interventions aimed at improving health literacy of parents/carers of children by SL Belfrage, M Husted, SDS Fraser, S Patel and JA Faulkner in Perspectives in Public Health
Cansó nova y divertida: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2024
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool eScriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Additional file 4 of EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis
Creators: name: Glotzbach, Annika
name: Rohlf, Katharina
name: Gonscharow, Anastasia
name: Lüke, Simon
name: Demirci, Özlem
name: Begher-Tibbe, Brigitte
name: Overbeck, Nina
name: Reinders, Jörg
name: Cadenas, Cristina
name: Hengstler, Jan G.
name: Edlund, Karolina
name: Marchan, Rosemarie
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Developmental Biology
Cancer

description: Additional file 4. Supplementary Figure S1: MALDI-MSI reveals that the mass of 706.54 m/z correlates with HER2 staining. Representative images of HER2 staining (left) and the mass of 706.54 m/z measured using MALDI-MSI (middle) of tumors dissected from pancreas of CD1 nude mice eight weeks after intraperitoneal injection of doxycycline-induced and non-induced HCC1954-luc shEDI3 cells. The mass of 706.54 m/z (candidate molecule PC 30:0) correlated in a large part with HER2 staining and was used to generate tumor-cell-containing areas-of-interest (right). Scale bars represent 1 mm
Supplemental Material - Are social support, loneliness, and social connection differentially associated with happiness across levels of introversion-extraversion?
Creators: name: Card, Kiffer G
name: Skakoon-Sparling, Shayna
Publisher: name: SAGE Journals
Year: 2023
Subjects: classificationCode: 170199
subject: Psychology not elsewhere classified
classificationCode: 110319
subject: Psychiatry (incl. Psychotherapy)
classificationCode: 111799
subject: Public Health and Health Services not elsewhere classified

description: Supplemental Material for Are social support, loneliness, and social connection differentially associated with happiness across levels of introversion-extraversion? by Kiffer G Card and Shayna Skakoon-Sparling in Health Psychology Open.
Cansó nova y divertida: Digital Edition
Creators: name: Jacsont Pauline
Publisher: name: Zenodo
Year: 2022
Subjects: Spanish literature
Digital edition
XML-TEI

description: Digital edition of a Spanish pliego de cordel (19th c.). It contains the XML-TEI file of the edition, as well as the files that led to this edition, i.e. the digital facsimiles (raw and retouched), and the transcription produced by the OCR tool eScriptorium (ALTO-XML). This digital edition is a part of the research project Desenrollando el cordel / Untangling the cordel / Démêler le cordel (2020-2024), led by the professor Constance Carta at the University of Geneva and supported by the philanthropic Sandoz-Monique de Meuron Family Foundation.
Horizontal shear from combined nacelle lidars - Evaluation of the "fan scan" based on three combined nacelle lidars for advanced wind field characterisation
Creators: name: Meyer, Paul Julian
name: Gottschall, Julia
Publisher: name: Zenodo
Year: 2022
Subjects: wind energy
Nacelle lidars
lidar
wind measurements

description: Torque Conference 2022 Poster for the conference proceeding with the same name: https://doi.org/10.1088/1742-6596/2265/2/022107 Nacelle mounted lidars (NML) are widely accepted and used in the wind energy community for various applications. To determine certain wind field parameters from radial measurements, a wind field reconstruction (WFR) algorithm is applied. Due to the limited information (“cyclops dilemma”) however, the WFR often lacks the reconstruction of certain parameters, such as the vertical wind speed or horizontal wind shear. We propose a combination of multiple NML to reconstruct these additional parameters, called the fan scan methodology. An implementation of the methodology has been installed and results are presented, highlighting the fan scan capabilities.
RiverState: A Visual Metaphor Representing Millions of Time-Oriented State Transitions
Creators: name: Roberts, Richard C.
name: Rees, Dylan
name: Laramee, Robert S.
name: Brookes, Paul
name: Smith, Gary A.
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Visual analytics
Visualization techniques
Information visualization
Mathematics of computing
Exploratory data analysis

description: Developing a positive relationship between a business and its customers is vital to success. The outcome of any customer interaction can determine future patronage of the business. Many industry's only point of interaction with their customers is through a contact centre where everything from sales to complaints are handled. This places tremendous importance on the operational efficiency of the contact centre and the level of care provided to the customers. These customer interactions are recorded and archived in large databases, but undertaking insightful analysis is challenging due to both the size and complexity of the data. We present a visual solution to the tracking of customer interactions at a large scale. RiverState visualises the collective flow of callers through the process of interacting with a contact centre using a river metaphor. We use finite state transition machines with customised edges to depict millions of events and the states callers go through to complete their journey. We implement a range of novel features to enhance the analytical qualities of the application, and collect feedback from domain experts to analyse and evaluate the use of the software.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization I
description: 81
description: 89
description: Richard C. Roberts, Dylan Rees, Robert S. Laramee, Paul Brookes, and Gary A. Smith
description: CCS Concepts: Human-centered computing --> Visual analytics; Visualization techniques; Information visualization; Mathematics of computing --> Exploratory data analysis
Towards a Survey of Interactive Visualization for Education
Creators: name: Fırat, Elif E.
name: Laramee, Robert S.
Publisher: name: The Eurographics Association
Year: 2018
Subjects: General and reference
Surveys and overviews
Applied computing
Interactive learning environments
Humancentered computing
Visualization design and evaluation methods

description: Graphic design and visualization are becoming fundamental components of education. The use of advanced visual design in pedagogy is growing and evolving rapidly. One of their aims is to enhance the educational process by facilitating better understanding of the subject with the use of graphical representation methods. Research papers in this field offer important opportunities to examine previously completed experiments and extract useful educational outcomes. This paper analyzes and classifies pedagogical visualization research papers to increase understanding in this area. To our knowledge, this is the first (work-in-progress) survey paper on advanced visualization for education. We categorize related research papers into original subject groups that enable researchers to compare related literature. Our novel classification enables researchers to find both mature and unexplored directions which can inform directions for future work. This paper serves as a valuable resource for both beginners and experienced researchers who are interested in interactive visualization for education.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization I
description: 91
description: 101
description: Elif E. Fırat and Robert S. Laramee
description: CCS Concepts: General and reference --> Surveys and overviews; Applied computing --> Interactive learning environments; Humancentered computing --> Visualization design and evaluation methods
sj-docx-1-tag-10.1177_17562848231179335 – Supplemental material for Because I’m happy – positive affect and its predictive value for future disease activity in patients with inflammatory bowel diseases: a retrospective cohort study
Creators: name: Lang, Brian M.
name: Ledergerber, Martina
name: Jordi, Sebastian Bruno Ulrich
name: Krupka, Niklas
name: Biedermann, Luc
name: Schreiner, Philipp
name: Juillerat, Pascal
name: Wyss, Jacqueline
name: Vavricka, Stephan R.
name: Zeitz, Jonas
name: von Känel, Roland
name: Rogler, Gerhard
name: Beerenwinkel, Niko
name: Misselwitz, Benjamin
Publisher: name: SAGE Journals
Year: 2023
Subjects: classificationCode: 111199
subject: Nutrition and Dietetics not elsewhere classified
classificationCode: 111299
subject: Oncology and Carcinogenesis not elsewhere classified
classificationCode: 111599
subject: Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-tag-10.1177_17562848231179335 for Because I’m happy – positive affect and its predictive value for future disease activity in patients with inflammatory bowel diseases: a retrospective cohort study by Brian M. Lang, Martina Ledergerber, Sebastian Bruno Ulrich Jordi, Niklas Krupka, Luc Biedermann, Philipp Schreiner, Pascal Juillerat, Jacqueline Wyss, Stephan R. Vavricka, Jonas Zeitz, Roland von Känel, Gerhard Rogler, Niko Beerenwinkel and Benjamin Misselwitz in Therapeutic Advances in Gastroenterology
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
Creators: name: Laube, Pascal
name: Grunwald, Michael
name: Franz, Matthias O.
name: Umlauf, Georg
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Neural networks
Image processing

description: Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use of convolutional neural networks (CNN) for image inpainting of large regions in high-resolution textures. Due to limited computational resources processing high-resolution images with neural networks is still an open problem. Existing methods separate inpainting of global structure and the transfer of details, which leads to blurry results and loss of global coherence in the detail transfer step. Based on advances in texture synthesis using CNNs we propose patch-based image inpainting by a CNN that is able to optimize for global as well as detail texture statistics. Our method is capable of filling large inpainting regions, oftentimes exceeding the quality of comparable methods for high-resolution images. For reference patch look-up we propose to use the same summary statistics that are used in the inpainting process.
description: Computer Graphics and Visual Computing (CGVC)
description: Short Papers
description: 103
description: 107
description: Pascal Laube, Michael Grunwald, Matthias O. Franz, and Georg Umlauf
description: CCS Concepts: Computing methodologies --> Neural networks; Image processing
Additional file 7 of EDI3 knockdown in ER-HER2+ breast cancer cells reduces tumor burden and improves survival in two mouse models of experimental metastasis
Creators: name: Glotzbach, Annika
name: Rohlf, Katharina
name: Gonscharow, Anastasia
name: Lüke, Simon
name: Demirci, Özlem
name: Begher-Tibbe, Brigitte
name: Overbeck, Nina
name: Reinders, Jörg
name: Cadenas, Cristina
name: Hengstler, Jan G.
name: Edlund, Karolina
name: Marchan, Rosemarie
Publisher: name: figshare
Year: 2024
Subjects: Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Developmental Biology
Cancer

description: Additional file 7. Supplementary Figure S4: Silencing EDI3 alters glycerophospholipid levels in ER-HER2+ breast cancer cells. Intracellular levels of different species of LPA, PA, LPC, PtdCho, LPS, PS, LPG, PG, LPE, PE, LPI and PI were measured using LC-MS/MS 72 h after silencing EDI3 either inducibly with shRNA in HCC1954 or transiently with siRNA in SUM190PT and SKBR3 breast cancer cells. Metabolite levels were determined by calculating the ratios of the integrated peaks of the endogenous metabolites and the internal standards. Quantities of metabolites were normalized to cell number and presented relative to negative control (shNEG or siNEG). Data represent mean ± SD from at least five technical replicates (wells from a six-well plate) from one or two independent experiments (*p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001). LPA, lysophosphatidic acid; PA, phosphatidic acid; LPC, lysophosphatidylcholine; PtdCho, phosphatidylcholine; LPS, lysophosphatidylserine; PS, phosphatidylserine; LPG, lysophosphatidylglycerol; PG, phosphatidylglycerol; LPE, lysophosphatidylethanolamine; PE, phosphatidylethanolamine; LPI, lysophosphatidylinositol; PI, phosphatidylinositol
Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach
Creators: name: Macho, Philipp Marten
name: Kurz, Nadja
name: Ulges, Adrian
name: Brylka, Robert
name: Gietzen, Thomas
name: Schwanecke, Ulrich
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computer Graphics
Image processing
Computing / Technology Policy
Medical technologies
Machine Learning
Neural networks

description: This paper addresses the automatic segmentation of teeth in volumetric Computed Tomography (CT) scans of the human skull. Our approach is based on a convolutional neural network employing 3D volumetric convolutions. To tackle data scale issues, we apply a hierarchical coarse-to fine approach combining two CNNs, one for low-resolution detection and one for highresolution refinement. In quantitative experiments on 40 CT scans with manually acquired ground truth, we demonstrate that our approach displays remarkable robustness across different patients and device vendors. Furthermore, our hierarchical extension outperforms a single-scale segmentation, and network size can be reduced compared to previous architectures without loss of accuracy.
description: Computer Graphics and Visual Computing (CGVC)
description: Short Papers
description: 109
description: 113
description: Philipp Marten Macho, Nadja Kurz, Adrian Ulges, Robert Brylka, Thomas Gietzen, and Ulrich Schwanecke
description: CCS Concepts: Computer Graphics --> Image processing; Computing / Technology Policy --> Medical technologies; Machine Learning --> Neural networks
Voronoi Tree Maps with Circular Boundaries
Creators: name: Ahmed, Abdalla G. M.
Publisher: name: The Eurographics Association
Year: 2018

description: Voronoi tree maps are an important milestone in information visualization, representing a substantial advancement of the original tree maps concept. We address a less-studied variant of Voronoi tree maps that uses multiplicative-weighted Voronoi diagrams. We highlight the merits of this variant, and discuss the difficulties that might have discouraged further exploration, proposing insights for overcoming these difficulties.
description: Computer Graphics and Visual Computing (CGVC)
description: Short Papers
description: 115
description: 116
description: Abdalla G. M. Ahmed
Supplemental Material, sj-pdf-1-ptd-10.1177_08968608231224612 - Comparison of different peritoneal dialysis catheters on complication and catheter survival: A network meta-analysis of randomised controlled trials
Creators: name: Zhao, Lijuan
name: Yu, Zixian
name: Li, Xiayin
name: Zhao, Jin
name: Qin, Yunlong
name: Zhou, Meilan
name: Bai, Ming
name: Xu, Guoshuang
name: Sun, Shiren
Publisher: name: SAGE Journals
Year: 2024
Subjects: Medicine

description: Supplemental Material, sj-pdf-1-ptd-10.1177_08968608231224612 for Comparison of different peritoneal dialysis catheters on complication and catheter survival: A network meta-analysis of randomised controlled trials by Lijuan Zhao, Zixian Yu, Xiayin Li, Jin Zhao, Yunlong Qin, Meilan Zhou, Ming Bai, Guoshuang Xu and Shiren Sun in Peritoneal Dialysis International
Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks
Creators: name: Zhang, Xin
name: Wang, Qian
name: Ivrissimtzis, Ioannis
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Computer vision
Image manipulation

description: In this paper we propose and analyse a method for watermarking 3D printed objects, concentrating on the watermark retrieval problem. The method embeds the watermark in a planar region of the 3D printed object in the form of small semi-spherical or cubic bumps arranged at the nodes of a regular grid. The watermark is extracted from a single image of the watermarked planar region through a Convolutional Neural Network. Experiments with 3D printed objects, produced by filaments of various colours, show that in most cases the retrieval method has a high accuracy rate.
description: Computer Graphics and Visual Computing (CGVC)
description: Short Papers
description: 117
description: 120
description: Xin Zhang, Qian Wang, and Ioannis Ivrissimtzis
description: CCS Concepts: Computing methodologies --> Computer vision; Image manipulation
sj-docx-1-cpx-10.1177_21677026231220060 – Supplemental material for A Brief Group Social-Belonging Intervention to Improve Mental-Health and Academic Outcomes in BIPOC and First-Generation-to-College Students
Creators: name: Sheets, Erin S.
name: Young, Denise
Publisher: name: SAGE Journals
Year: 2024
Subjects: Psychology not elsewhere classified

description: Supplemental material, sj-docx-1-cpx-10.1177_21677026231220060 for A Brief Group Social-Belonging Intervention to Improve Mental-Health and Academic Outcomes in BIPOC and First-Generation-to-College Students by Erin S. Sheets and Denise Young in Clinical Psychological Science
Evolutionary Interactive Analysis of MRI Gastric Images Using a Multiobjective Cooperative-coevolution Scheme
Creators: name: Al-Maliki, Shatha F.
name: Lutton, Évelyne
name: Boué, François
name: Vidal, Franck P.
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Visualization application domains
Computing methodologies
Search methodologies
Graphics systems and interfaces
Applied computing
Life and medical sciences

description: In this study, we combine computer vision and visualisation/data exploration to analyse magnetic resonance imaging (MRI) data and detect garden peas inside the stomach. It is a preliminary objective of a larger project that aims to understand the kinetics of gastric emptying. We propose to perform the image analysis task as a multi-objective optimisation. A set of 7 equally important objectives are proposed to characterise peas. We rely on a cooperation co-evolution algorithm called 'Fly Algorithm' implemented using NSGA-II. The Fly Algorithm is a specific case of the 'Parisian Approach' where the solution of an optimisation problem is represented as a set of individuals (e.g. the whole population) instead of a single individual (the best one) as in typical evolutionary algorithms (EAs). NSGA-II is a popular EA used to solve multi-objective optimisation problems. The output of the optimisation is a succession of datasets that progressively approximate the Pareto front, which needs to be understood and explored by the end-user. Using interactive Information Visualisation (InfoVis) and clustering techniques, peas are then semi-automatically segmented.
description: Computer Graphics and Visual Computing (CGVC)
description: Short Papers
description: 121
description: 125
description: Shatha F. Al-Maliki, Évelyne Lutton, François Boué, and Franck P. Vidal
description: CCS Concepts: Human-centered computing --> Visualization application domains;Computing methodologies --> Search methodologies; Graphics systems and interfaces;Applied computing --> Life and medical sciences
TESS Experiments: Is Perceived Polarization a Self-Fulfilling Prophecy?
Creators: name: Levendusky, Matthew
Publisher: name: Roper Center for Public Opinion Research
Year: 2022

description: Time-sharing Experiments for the Social Sciences (TESS) offers researchers the opportunity to capture the internal validity of experiments. Investigators submit proposals, and TESS fields successful proposals for free on a representative sample of adults in the United States. This experiment was conducted to test the effect of perceived political polarization on voters’ attitudes. Respondents were randomly assigned to read one of three news articles which either highlighted deep partisan divide over political issues, bipartisan cooperation, or a non-political topic (control). A total of 1,587 respondents participated. All respondents were asked to indicate their own positions on immigration, capital gains tax, and either election financing or free trade, and their perception of the position typical Republican/Democrat voters would take on the same issues. Respondents were also asked to indicate their general feelings about the party opposing their political identity and comfort with being friends with members of that party. This allowed for comparison of perceptions of polarization and affective polarization across groups.
Cartograms with Topological Features
Creators: name: Tong, Chao
name: McNabb, Liam
name: Laramee, Robert S.
Publisher: name: The Eurographics Association
Year: 2018

description: Cartograms are a popular and useful technique for depicting geo-spatial data. Dorling style and rectangular cartograms are very good for facilitating comparisons between unit areas. Each unit area is represented by the same shape such as a circle or rectangle, and the uniformity in shapes facilitates comparative judgment. However, the layout of these more abstract shapes may also simultaneously reduce the map's legibility and increase error. When we integrate univariate data into a cartogram, the recognizability of cartogram may be reduced. There is a trade-off between information recognition and geo-information accuracy. This is the inspiration behind the work we present. We attempt to increase the map's recognizability and reduce error by introducing topological features into the cartographic map. Our goal is to include topological features such as a river in a Dorling-style or rectangular cartogram to make the visual layout more recognizable, increase map cognition and reduce geospatial error. We believe that compared to the standard Dorling and rectangular style cartogram, adding topological features provides familiar geo-spatial cues and flexibility to enhance the recognizability of a cartogram.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization II
description: 127
description: 134
description: Chao Tong, Liam McNabb, and Robert S. Laramee
MPEC 2024-W95 : 2024 WD2
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 WD2

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
sj-pdf-3-sci-10.1177_00368504231220765 - Supplemental material for A puzzling case report of well-differentiated neuroendocrine tumor mixed with gastric adenocarcinoma of the fundic gland type associated with autoimmune gastritis
Creators: name: Wang, Zheng
name: Zhou, Weixun
name: Li, Jingnan
name: Wen, Wenlong
name: Liang, Zhiyong
name: Huo, Zhen
Publisher: name: SAGE Journals
Year: 2024
Subjects: Biological Sciences not elsewhere classified

description: Supplemental material, sj-pdf-3-sci-10.1177_00368504231220765 for A puzzling case report of well-differentiated neuroendocrine tumor mixed with gastric adenocarcinoma of the fundic gland type associated with autoimmune gastritis by Zheng Wang, Weixun Zhou, Jingnan Li, Wenlong Wen, Zhiyong Liang and Zhen Huo in Science Progress
sj-pdf-1-jao-10.1177_03913988231213722 – Supplemental material for Microaxial mechanical circulatory support after orthotopic heart transplantation
Creators: name: Pritting, Christopher
name: Ahmad, Danial
name: Patel, Keyur
name: Miyamoto, Takuma
name: Rajab, Taufiek K
name: Rajapreyar, Indranee N
name: Massey, Howard T
name: Tchantchaleishvili, Vakhtang
Publisher: name: SAGE Journals
Year: 2024
Subjects: Biological Sciences not elsewhere classified

description: Supplemental material, sj-pdf-1-jao-10.1177_03913988231213722 for Microaxial mechanical circulatory support after orthotopic heart transplantation by Christopher Pritting, Danial Ahmad, Keyur Patel, Takuma Miyamoto, Taufiek K Rajab, Indranee N Rajapreyar, Howard T Massey and Vakhtang Tchantchaleishvili in The International Journal of Artificial Organs
Additional file 1 of Cardiomyocyte-specific overexpression of GPR22 ameliorates cardiac injury in mice with acute myocardial infarction
Creators: name: Chang, Chin-Chuan
name: Chen, Chih-Hung
name: Hsu, Shu-Yuan
name: Leu, Steve
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Computational Biology

description: Supplementary Material 1
Drug induced steatosis
Creators: name: Keshavamurthy, Jayanth
Publisher: name: EURORAD
Year: 2018
Subjects: subject: Abdomen
subject: CT
subject: Screening
subject: Treatment effects
subject: Drugs / Reactions

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 54 years
description: Clinical History: A 54-year-old female veteran with a history of right-sided breast cancer underwent modified radical right-sided mastectomy. She was on venlafaxine for depression. Few months after starting Tamoxifen she presented with elevated liver enzymes.  She denies a... Final Diagnosis: Tamoxifen induced steatosis
Spectrum: A C++ Header Library for Colour Map Management
Creators: name: Roberts, Richard C.
name: McNabb, Liam
name: AlHarbi, Naif
name: Laramee, Robert S.
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Software and its engineering
Software libraries and repositories
Software design engineering
Open source model

description: The use of colour mapping is fundamental to visualisation research. It acts as an additional layer beyond rendering in the spatial dimensions and provides a link between values in any dataset. When designing and building visualisation research software, the process of creating and managing a colour mapping system can be time-consuming and complex. Existing alternatives offer niche features and require complex dependencies or installations. We present Spectrum; an open source colour map management library that is developer friendly with no installation required, and that offers a wide variety of features for the majority of use cases. We demonstrate the utility of the library through simple snippets of code and a number of examples which illustrate its ease of use and functionality, as well as a video demonstrating the installation and use of the library in under two minutes. It is a very valuable jump-start tool for developers and researchers who need to focus on other tasks.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization II
description: 135
description: 141
description: Richard C. Roberts, Liam McNabb, Naif AlHarbi, and Robert S. Laramee
description: CCS Concepts: Software and its engineering --> Software libraries and repositories; Software design engineering; Open source model
SoS TextVis: A Survey of Surveys on Text Visualization
Creators: name: Alharbi, Mohammad
name: Laramee, Robert S.
Publisher: name: The Eurographics Association
Year: 2018

description: Text visualization is a rapidly growing sub-field of information visualization and visual analytics. There are many approaches and techniques introduced every year to address a wide range of tasks and enable researchers from different disciplines to obtain leading-edge knowledge from digitized collections. This can be challenging particularly when the data is massive. Additionally, the sources of digital text have spread substantially in the last decades in various forms, such as web pages, blogs, twitter, email, electronic publications, and books. In response to the explosion of text visualization research literature, the first survey article was published in 2010. Furthermore, there are a growing number of surveys that review existing techniques and classify them based on text research methodology. In this work, we aim to present the first Survey of Surveys (SoS) that review all of the survey and state-of-the-art papers on text visualization techniques and provide an SoS classification. We study and compare the surveys, and categorize them into 5 groups: (1) document-centered, (2) user task analysis, (3) cross-disciplinary, (4) multifaceted, and (5) satellite-themed. We provide survey recommendations for researchers in the field of text visualization. The result is a very unique, valuable starting point and overview of the current state-of-the-art in text visualization research literature.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization II
description: 143
description: 152
description: Mohammad Alharbi and Robert S. Laramee
An application of a non-homogeneous Poisson model to study PM2.5 exceedances in Mexico City and Bogota
Creators: name: Súarez-Sierra, Biviana M.
name: Rodrigues, Eliane R.
name: Tzintzun, Guadalupe
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Neuroscience
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: It is very important to study the occurrence of high levels of particulate matter due to the potential harm to people's health and to the environment. In the present work we use a non-homogeneous Poisson model to analyse the rate of exceedances of particulate matter with diameter smaller that 2.5 microns (PM2.5). Models with and without change-points are considered and they are applied to data from Bogota, Colombia, and Mexico City, Mexico. Results show that whereas in Bogota larger particles pose a more serious problem, in Mexico City, even though nowadays levels are more controlled, in the recent past PM2.5 were the ones causing serious problems.
Knowledge-based Discovery of Transportation Object Properties by Fusing Multi-modal GIS Data
Creators: name: Maroun, Pedro Eid
name: Mudur, Sudhir
name: Popa, Tiberiu
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Computer graphics
Description logics
Reasoning about belief and knowledge

description: 3D models of transportation objects like a road, bridge, underpass, etc. are required in many domains including military training, land development, etc. While remote sensed images and LiDaR data can be used to create approximate 3D representations, detailed 3D representations are difficult to create automatically. Instead, interactive tools are used with rather laborious effort. For example, the top commercial interactive model generator we tried required 94 parameters in all for different bridge types. In this paper, we take a different path.We automatically derive these parameter values from GIS (Geographic Information Systems) data, which normally contains detailed information of these objects, but often only implicitly. The framework presented here transforms GIS data into a knowledge base consisting of assertions. Spatial/numeric relations are handled through plug-ins called property extractors whose results get added to the knowledge base, used by a reasoning engine to infer object properties. A number of properties have to be extracted from images, and are dependent on the accuracy of computer vision methods. While a comprehensive property extractor mechanism is work in progress, . a prototype implementation illustrates our framework for bridges with GIS data from the real world. To the best of our knowledge, our framework is the first to integrate knowledge inference and uncertainty for extracting landscape object properties by fusing facts from multi-modal GIS data sources.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization III and VR
description: 153
description: 161
description: Pedro Eid Maroun, Sudhir Mudur, and Tiberiu Popa
description: CCS Concepts: Computing methodologies --> Computer graphics; Description logics; Reasoning about belief and knowledge
Additional file 2 of Cardiomyocyte-specific overexpression of GPR22 ameliorates cardiac injury in mice with acute myocardial infarction
Creators: name: Chang, Chin-Chuan
name: Chen, Chih-Hung
name: Hsu, Shu-Yuan
name: Leu, Steve
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Computational Biology

description: Supplementary Material 2
Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data
Creators: name: Gachau, Susan
name: Njagi, Edmund Njeru
name: Owuor, Nelson
name: Mwaniki, Paul
name: Quartagno, Matteo
name: Sarguta, Rachel
name: English, Mike
name: Ayieko, Philip
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Composite scores are useful in providing insights and trends about complex and multidimensional quality of care processes. However, missing data in subcomponents may hinder the overall reliability of a composite measure. In this study, strategies for handling missing data in Paediatric Admission Quality of Care (PAQC) score, an ordinal composite outcome, were explored through a simulation study. Specifically, the implications of the conventional method employed in addressing missing PAQC score subcomponents, consisting of scoring missing PAQC score components with a zero, and a multiple imputation (MI)-based strategy, were assessed. The latent normal joint modelling MI approach was used for the latter. Across simulation scenarios, MI of missing PAQC score elements at item level produced minimally biased estimates compared to the conventional method. Moreover, regression coefficients were more prone to bias compared to standards errors. Magnitude of bias was dependent on the proportion of missingness and the missing data generating mechanism. Therefore, incomplete composite outcome subcomponents should be handled carefully to alleviate potential for biased estimates and misleading inferences. Further research on other strategies of imputing at the component and composite outcome level and imputing compatibly with the substantive model in this setting, is needed.
When Size Matters: Towards Evaluating Perceivability of Choropleths
Creators: name: McNabb, Liam
name: Laramee, Robert S.
name: Wilson, Max
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
User studies
Geographic visualization
Information visualization
Computing methodologies
Visibility
Perception

description: Choropleth maps are an invaluable visualization type for mapping geo-spatial data. One advantage to a choropleth map over other geospatial visualizations such as cartograms is the familiarity of a non-distorted landmass. However, this causes challenges when an area becomes too small in order to accurately perceive the underlying color. When does size matter in a choropleth map? We conduct an experiment to verify the relationship between choropleth maps, their underlying color map, and a user's perceivability. We do this by testing a user's perception of color relative to an administrative area's size within a choropleth map, as well as user-preference of fixed-locale maps with enforced minimum areas. Based on this initial experiment we can make the first recommendations with respect to a unit area's minimum size in order to be perceivably useful.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization III and VR
description: 163
description: 171
description: Liam McNabb, Robert S. Laramee, and Max Wilson
description: CCS Concepts: Human-centered computing --> User studies; Geographic visualization; Information visualization; Computing methodologies --> Visibility; Perception
Virtual Reality: A Literature Review and Metrics-based Classification
Creators: name: Ankomah, Peter
name: Vangorp, Peter
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Virtual reality

description: This paper presents a multi-disciplinary overview of research evaluating virtual reality (VR). The main aim is to review and classify VR research based on several metrics: presence and immersion, navigation and interaction, knowledge improvement, performance and usability. With the continuous development and consumerisation of VR, several application domains have studied the impact of VR as an enhanced alternative environment for performing tasks. However, VR experiment results often cannot be generalised but require specific datasets and tasks suited to each domain. This review and classification of VR metrics presents an alternative metrics-based view of VR experiments and research.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualization III and VR
description: 173
description: 181
description: Peter Ankomah and Peter Vangorp
description: CCS Concepts: Human-centered computing --> Virtual reality
Additional file 1 of Health workers’ adherence to malaria case management protocols in Northern Sudan: a qualitative study
Creators: name: Khalid Mohamed, Sahar
name: Khalid Mohamed, Duha
name: Ahmed, Khansaa
name: Saad, Fadwa
name: Zurovac, Dejan
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary Material 1.
Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective
Creators: name: Dutta, Srimanti
name: Molenberghs, Geert
name: Chakraborty, Arindom
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Over the last 20 or more years a lot of clinical applications and methodological development in the area of joint models of longitudinal and time-to-event outcomes have come up. In these studies, patients are followed until an event, such as death, occurs. In most of the work, using subject-specific random-effects as frailty, the dependency of these two processes has been established. In this article, we propose a new joint model that consists of a linear mixed-effects model for longitudinal data and an accelerated failure time model for the time-to-event data. These two sub-models are linked via a latent random process. This model will capture the dependency of the time-to-event on the longitudinal measurements more directly. Using standard priors, a Bayesian method has been developed for estimation. All computations are implemented using OpenBUGS. Our proposed method is evaluated by a simulation study, which compares the conditional model with a joint model with local independence by way of calibration. Data on Duchenne muscular dystrophy (DMD) syndrome and a set of data in AIDS patients have been analysed.