cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Sain4: Report Of Big Data Analytics And Data Capture Infraestructure
Creators: name: ITI
Publisher: name: Zenodo
Year: 2018
Subjects: SAIN4
2017
2018
FoF
industry 4.0
metallurgical industry
furniture industry
data capture
big data
analytics
AMS
SGA
advanced management system

description: SAIN4 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER).

The purpose of this document is to collect the results of the construction of the Big Data Analytics and Data Capture infrastructure, which will allow the digitization of the production processes and serve the Advanced Management System (AMS) of the data necessary for its operation.
description: SAIN4. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016 with 67.395,60€. File number: IIMDEEA/2017/73
Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features
Creators: name: Wu, Ryan
name: Ahn, Mihye
name: Yang, Hojin
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: In this paper, we develop a variable selection framework with the spike-and-slab prior distribution via the hazard function of the Cox model. Specifically, we consider the transformation of the score and information functions for the partial likelihood function evaluated at the given data from the parameter space into the space generated by the logarithm of the hazard ratio. Thereby, we reduce the nonlinear complexity of the estimation equation for the Cox model and allow the utilization of a wider variety of stable variable selection methods. Then, we use a stochastic variable search Gibbs sampling approach via the spike-and-slab prior distribution to obtain the sparsity structure of the covariates associated with the survival outcome. Additionally, we conduct numerical simulations to evaluate the finite-sample performance of our proposed method. Finally, we apply this novel framework on lung adenocarcinoma data to find important genes associated with decreased survival in subjects with the disease.
Additional file 2 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 2.
A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts
Creators: name: Fourey, Sébastien
name: Tschumperlé, David
name: Revoy, David
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Image processing
Non
photorealistic rendering
Shape analysis

description: We present a fast and efficient algorithm for the semi-supervised colorization of line-art images (e.g. hand-made cartoons), based on two successive steps: 1. A geometric analysis of the stroke contours, and their closing by splines/segments, and 2. A colorization step based on the filling of the corresponding connected components, either with random colors or by extrapolating user-defined color scribbles. Our processing technique performs image colorization with a similar quality as previous state of the arts algorithms, while having a lower algorithmic complexity, leading to more possible user interactivity.
description: Vision, Modeling and Visualization
description: Rendering
description: 1
description: 9
description: Sébastien Fourey, David Tschumperlé, and David Revoy
description: CCS Concepts: Computing methodologies --> Image processing; Non-photorealistic rendering; Shape analysis
Interactive Interpolation of Metallic Effect Car Paints
Creators: name: Golla, Tim
name: Klein, Reinhard
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Computer graphics
Rendering
Reflectance modeling

description: Metallic car paints are visually complex materials that, among others effects, exhibit a view-dependent metallic sparkling, which is particularly difficult to recreate in computer graphics. While capturing real-world metallic paints is possible with specialized devices, creating these materials computationally poses a difficult problem. We present a method that allows for interactive interpolation between measured metallic automotive paints, which can be used to generate new realistic-looking metallic paint materials. By clustering the color information present in the measured bidirectional texture function (BTF) responsible for the metallic sparkling effect, we set up an optimal transport problem between metallic paints' appearances. The design of the problem facilitates efficiently finding a solution, based on which we generate a representation that allows for real-time generation of interpolated realistic materials. Interpolation happens smoothly, no flickering or other visual artifacts can be observed. The developed approach also enables to separately interpolate the larger-scale reflective properties, including the basic color hue, the local color hue, and the sparkling intensity of the metallic paint. Our method can be used intuitively in order to generate automotive paints with a novel appearance and explore the space of possible metallic paints spanned by given real-world measurements. The resulting materials are also well suited for real-time rendering in standard engines.
description: Vision, Modeling and Visualization
description: Rendering
description: 11
description: 20
description: Tim Golla and Reinhard Klein
description: CCS Concepts: Computing methodologies --> Computer graphics; Rendering; Reflectance modeling
Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices
Creators: name: Monroy, Rafael
name: Hudon, Matis
name: Smolic, Aljosa
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Mixed / augmented reality
Mobile devices
Computing methodologies

description: Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object with high-quality, coherent appearance and in real-time, remains an area of active research. In this work, we present a novel pipeline that allows for coupled environment acquisition and virtual object rendering on a mobile device equipped with a depth sensor. While keeping human interaction to a minimum, our system can scan a real scene and project it onto a two-dimensional environment map containing RGB+Depth data. Furthermore, we define a set of criteria that allows for an adaptive update of the environment map to account for dynamic changes in the scene. Then, under the assumption of diffuse surfaces and distant illumination, our method exploits an analytic expression for the irradiance in terms of spherical harmonic coefficients, which leads to a very efficient rendering algorithm. We show that all the processes in our pipeline can be executed while maintaining an average frame rate of 31Hz on a mobile device.
description: Vision, Modeling and Visualization
description: Augmented Reality
description: 21
description: 28
description: Rafael Monroy, Matis Hudon, and Aljosa Smolic
description: CCS Concepts: Human-centered computing --> Mixed / augmented reality; Mobile devices; Computing methodologies --> Mixed / augmented reality
WithTeeth: Denture Preview in Augmented Reality
Creators: name: Amirkhanov, Aleksandr
name: Amirkhanov, Artem
name: Bernhard, Matthias
name: Toth, Zsolt
name: Stiller, Sabine
name: Geier, Andreas
name: Gröller, Eduard
name: Mistelbauer, Gabriel
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Mixed / augmented reality
Applied computing
Consumer healt

description: Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined mnually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.
description: Vision, Modeling and Visualization
description: Augmented Reality
description: 29
description: 38
description: Aleksandr Amirkhanov, Artem Amirkhanov, Matthias Bernhard, Zsolt Toth, Sabine Stiller, Andreas Geier, Eduard Gröller, and Gabriel Mistelbauer
description: CCS Concepts: Computing methodologies --> Mixed / augmented reality; Applied computing --> Consumer healt
The Parallel Eigenvectors Operator
Creators: name: Oster, Timo
name: Rössl, Christian
name: Theisel, Holger
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Scientific visualization

description: The parallel vectors operator is a prominent tool in visualization that has been used for line feature extraction in a variety of applications such as ridge and valley lines, separation and attachment lines, and vortex core lines. It yields all points in a 3D domain where two vector fields are parallel. We extend this concept to the space of tensor fields, by introducing the parallel eigenvectors (PEV) operator. It yields all points in 3D space where two tensor fields have real parallel eigenvectors. Similar to the parallel vectors operator, these points form structurally stable line structures. We present an algorithm for extracting these lines from piecewise linear tensor fields by finding and connecting all intersections with the cell faces of a data set. The core of the approach is a simultaneous recursive search both in space and on all possible eigenvector directions. We demonstrate the PEV operator on different analytic tensor fields and apply it to several data sets from structural mechanics simulations.
description: Vision, Modeling and Visualization
description: Image Analysis and Visualization
description: 39
description: 46
description: Timo Oster, Christian Rössl, and Holger Theisel
description: CCS Concepts: Human-centered computing --> Scientific visualization
Automatic Generation of Saliency-based Areas of Interest for the Visualization and Analysis of Eye-tracking Data
Creators: name: Fuhl, Wolfgang
name: Kuebler, Thomas
name: Santini, Thiago
name: Kasneci, Enkelejda
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Heat maps
Scientific visualization
Information visualization
Computing methodologies
Cross
validation
Applied computing
Fine arts

description: Areas of interest (AOIs) are a powerful basis for the analysis and visualization of eye-tracking data. They allow to relate eyetracking metrics to semantic stimulus regions and to perform further statistics. In this work, we propose a novel method for the automated generation of AOIs based on saliency maps. In contrast to existing methods from the state-of-the-art, which generate AOIs based on eye-tracking data, our method generates AOIs based solely on the stimulus saliency, mimicking thus our natural vision. This way, our method is not only independent of the eye-tracking data, but allows to work AOI-based even for complex stimuli, such as abstract art, where proper manual definition of AOIs is not trivial. For evaluation, we cross-validate support vector machine classifiers with the task of separating visual scanpaths of art experts from those of novices. The motivation for this evaluation is to use AOIs as projection functions and to evaluate their robustness on different feature spaces. A good AOI separation should result in different feature sets that enable a fast evaluation with a widely automated work-flow. The proposed method together with the data shown in this paper is available as part of the software EyeTrace [?] http://www.ti.unituebingen. de/Eyetrace.1751.0.html.
description: Vision, Modeling and Visualization
description: Image Analysis and Visualization
description: 47
description: 54
description: Wolfgang Fuhl, Thomas Kuebler, Thiago Santini, and Enkelejda Kasneci
description: CCS Concepts: Human-centered computing --> Heat maps; Scientific visualization; Information visualization; Computing methodologies --> Cross-validation; Applied computing --> Fine arts
Automatic Infant Face Verification via Convolutional Neural Networks
Creators: name: Wöhler, Leslie
name: Zhang, Hangjian
name: Albuquerque, Georgia
name: Magnor, Marcus
Publisher: name: The Eurographics Association
Year: 2018
Subjects: I.5.4 [Pattern Recognition]
Application
Computer Vision

description: In this paper, we investigate how convolutional neural networks (CNN) can learn to solve the verification task for faces of young children. One of the main issues of automatic face verification approaches is how to deal with facial changes resulting from aging. Since the facial shape and features change drastically during early childhood, the recognition of children can be challenging even for human observers. Therefore, we design CNNs that take two infant photographs as input and verify whether they belong to the same child. To specifically train our CNNs to recognize young children, we collect a new infant face dataset including 4,528 face images of 42 subjects in the age range of 0 to 6 years. Our results show an accuracy of up to 85 percent for face verification using our dataset with no overlapping subjects between the training and test data, and 72 percent in the FG-NET dataset for the age range from 0 to 4 years.
description: Vision, Modeling and Visualization
description: Image Analysis and Visualization
description: 55
description: 62
description: Leslie Wöhler, Hangjian Zhang, Georgia Albuquerque, and Marcus Magnor
description: Categories and Subject Descriptors (according to ACM CCS): I.5.4 [Pattern Recognition]: Application-Computer Vision
sj-docx-1-cnr-10.1177_10547738221141232 – Supplemental material for The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
Creators: name: Cuevas, Heather
name: Muñoz, Elizabeth
name: Nagireddy, Divya
name: Kim, Jeeyeon
name: Ganucheau, Grace
name: Alomoush, Fathia
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-cnr-10.1177_10547738221141232 for The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study by Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau and Fathia Alomoush in Clinical Nursing Research
Additional file 1 of Prevalence of iodine deficiency and associated factors among school-age children in Ethiopia: a systematic review and meta-analysis
Creators: name: Baffa, Lemlem Daniel
name: Angaw, Dessie Abebaw
name: Abriham, Zufan Yiheyis
name: Gashaw, Moges
name: Agimas, Muluken Chanie
name: Sisay, Mekonnen
name: Muhammad, Esmael Ali
name: Mengistu, Berhanu
name: Belew, Aysheshim Kassahun
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Science Policy
Mental Health

description: Additional file 1: Tables S1. Searching strategy for studies assessing iodine deficiency and associated factors among school-age children in Ethiopia, 2023.
sj-docx-1-taw-10.1177_20420986221143266 – Supplemental material for Safety of triazole antifungals: a pharmacovigilance study from 2004 to 2021 based on FAERS
Creators: name: Chai, Shuang
name: Zhan, Jing-Lun
name: Zhao, Li-Mei
name: Liu, Xiao-Dong
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-taw-10.1177_20420986221143266 for Safety of triazole antifungals: a pharmacovigilance study from 2004 to 2021 based on FAERS by Shuang Chai, Jing-Lun Zhan, Li-Mei Zhao and Xiao-Dong Liu in Therapeutic Advances in Drug Safety
IPA Analysis - Sheet1.pdf
Creators: name: Sikka, Aashna
name: Subramani, Deviga
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 520304
subject: Health psychology
classificationCode: 520502
subject: Gender psychology

description: Endometriosis is a chronic and progressive gynecological condition that causes the thickening of the endometrial tissue outside the uterine wall. It is marked by debilitating symptoms like chronic pelvic and abdominal pain, excessive menstrual bleeding, and pain during intercourse. The nature and course of the disorder are yet to be systematically defined in the medical sciences, causing ambiguity for the patients. Coping with these symptoms has been known to have an impact on a patient’s mental health. The academic research in the South Asian diaspora related to Indian experiences is nascent. This study aimed to explore how Indian women live with and make sense of endometriosis. Data was collected through online semi-structured interviews with four Indian women between the ages of 18-45 years. The data was analyzed using the Interpretative Phenomenological Analysis (IPA) framework and informed by a feminist lens. The study found two major themes (1) Painful menstruation in endometriosis, and (2) A feminist take on healthcare for endometriosis. The results aligned with the findings of previous Western literature, however, other sub-themes such as unsolicited advice-giving behaviors in medicine, and symptoms and interventions in the context of the system were understood within the Indian context and a feminist lens. 
sj-docx-1-jpc-10.1177_21501319221143716 – Supplemental material for Psychometric Properties of the Suicidal Ideation Scale in the Indonesian Language
Creators: name: Fitriana, Efi
name: Purba, Fredrick Dermawan
name: Salsabila, Safira Putri
name: Danasasmita, Febrianti Santiardi
name: Afriandi, Irvan
name: Tarigan, Rodman
name: Ichsan, Abdullah
name: Pandia, Veranita
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-jpc-10.1177_21501319221143716 for Psychometric Properties of the Suicidal Ideation Scale in the Indonesian Language by Efi Fitriana, Fredrick Dermawan Purba, Safira Putri Salsabila, Febrianti Santiardi Danasasmita, Irvan Afriandi, Rodman Tarigan, Abdullah Ichsan and Veranita Pandia in Journal of Primary Care & Community Health
sj-docx-1-tia-10.1177_23312165221145006 - Supplemental material for Visual Speech Improves Older and Younger Adults’ Response Time and Accuracy for Speech Comprehension in Noise
Creators: name: Beadle, Julie
name: Kim, Jeesun
name: Davis, Chris
Publisher: name: SAGE Journals
Year: 2022
Subjects: Health and Community Services
Otorhinolaryngology

description: Supplemental material, sj-docx-1-tia-10.1177_23312165221145006 for Visual Speech Improves Older and Younger Adults’ Response Time and Accuracy for Speech Comprehension in Noise by Julie Beadle, Jeesun Kim and Chris Davis in Trends in Hearing
Parameter Space Comparison of Inertial Particle Models
Creators: name: Holbein, Jérôme
name: Günther, Tobias
Publisher: name: The Eurographics Association
Year: 2018
Subjects: I.3.3 [Computer Graphics]
Picture/Image Generation
Line and curve generation

description: In many meteorological and engineering problems, the motion of finite-sized objects of non-zero mass plays a crucial role, such as in air pollution, desertification, stirring of dust during helicopter navigation, or droplets in clouds or hurricanes. The motion of these so-called inertial particles can be modeled by equations of motion that place certain application-specific assumptions. These models are determined by parameters, such as the particle size, the Stokes number or the density ratio between particle and fluid. To describe the motion of finite-sized particles in an accurate and feasible way, one has to choose the most suitable particle model and its model parameters very carefully. In this paper, we present multiple interactive visualizations that allow us to compare different inertial particle models for a range of model parameters. To assess the similarities and disparities in the inertial pathline geometries in space-time, we first trace multiple inertial particles with varying model parameters from the same seed point and visualize their motion in space-time for different inertial particle models. Further, we find for a given inertial trajectory in one model, the parameters of the other model that fit this trajectory best. Finally, we offer a quantitative view of the pair-wise inertial trajectory distance for each possible parameter combination of two inertial particle models for a given seed point. By visually exploring this parameter space, we can find similarities and dissimilarities between parameter configurations, which guides the selection of the parameter model. Since all these visualizations only consider one single seed point, we extend the methods by displaying the results for multiple seed points in the same domain or by using stacked visualizations. We apply our method to multiple analytic and numerical vector fields for two inertial particle models.
description: Vision, Modeling and Visualization
description: Joint Session with GCPR I
description: 63
description: 70
description: Jérôme Holbein and Tobias Günther
description: Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
Additional file 3 of Prevalence of iodine deficiency and associated factors among school-age children in Ethiopia: a systematic review and meta-analysis
Creators: name: Baffa, Lemlem Daniel
name: Angaw, Dessie Abebaw
name: Abriham, Zufan Yiheyis
name: Gashaw, Moges
name: Agimas, Muluken Chanie
name: Sisay, Mekonnen
name: Muhammad, Esmael Ali
name: Mengistu, Berhanu
name: Belew, Aysheshim Kassahun
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Science Policy
Mental Health

description: Additional file 3: Table S2. Quality assessment of the included papers to assess the pooled prevalence of iodine deficiency among school-age children in Ethiopia, 2023 by using Newcastle–Ottawa Scale adapted for cross-sectional studies.
Efficient Global Registration for Nominal/Actual Comparisons
Creators: name: Berkei, Sarah
name: Limper, Max
name: Hörr, Christian
name: Kuijper, Arjan
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Reconstruction
Matching
Mesh models

description: We investigate global registration methods for Nominal/Actual comparisons, using precise, high-resolution 3D scans. First we summarize existing approaches and requirements for this field of application. We then demonstrate that a basic RANSAC strategy, along with a slightly modified version of basic building blocks, can lead to a high global registration performance at moderate registration times. Specifically, we introduce a simple feedback loop that exploits the fast convergence of the ICP algorithm to efficiently speed up the search for a valid global alignment. Using the example of 3D printed parts and range images acquired by two different high-precision 3D scanners for quality control, we show that our method can be efficiently used for Nominal/Actual comparison. For this scenario, the proposed algorithm significantly outperforms the current state of the art, with regards to registration time and success rate.
description: Vision, Modeling and Visualization
description: Scanning
description: 71
description: 78
description: Sarah Berkei, Max Limper, Christian Hörr, and Arjan Kuijper
description: CCS Concepts: Computing methodologies --> Reconstruction; Matching; Mesh models
TESS Experiments: The Intersection of Religion and Politics: A Two-Way Street
Creators: name: Margolis, Michele
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 whether partisan values influence reported levels of religiosity. Respondents were randomly assigned to one of two conditions in which they were either primed with a newspaper article about a political conference hosted by the Faith and Freedom Coalition (Treatment), or not (Control). A total of 1,518 respondents participated. Following the reading, treatment group respondents gave their opinions on whether churches and religious organizations have too little or too much power in politics and in general. All respondents were asked to indicate their religious identification, church attendance, religiosity, confidence in religious leaders, and interest in politics and public affairs. This allowed for comparison of self-reported religiosity across experimental conditions and demographics.
sj-docx-1-aut-10.1177_13623613221144501 – Supplemental material for Acceptability and feasibility of a parent-mediated social-communication therapy for young autistic children in Brazil: A qualitative implementation study of Paediatric Autism Communication Therapy
Creators: name: Brandi Gomes Godoy, Priscilla
name: McWilliams, Lorna
name: Rodrigues da Silveira, Leticia
name: de Cesaro Revers Biasão, Mirian
name: Speggiorin Pereira Alarcão, Fernanda
name: Seda, Leonardo
name: Generoso Campoli, Renata
name: Liang, Holan
name: Divan, Gauri
name: Leadbitter, Kathy
name: Green, Jonathan
name: Shephard, Elizabeth
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: Education
subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, sj-docx-1-aut-10.1177_13623613221144501 for Acceptability and feasibility of a parent-mediated social-communication therapy for young autistic children in Brazil: A qualitative implementation study of Paediatric Autism Communication Therapy by Priscilla Brandi Gomes Godoy, Lorna McWilliams, Leticia Rodrigues da Silveira, Mirian de Cesaro Revers Biasão, Fernanda Speggiorin Pereira Alarcão, Leonardo Seda, Renata Generoso Campoli, Holan Liang, Gauri Divan, Kathy Leadbitter, Jonathan Green and Elizabeth Shephard in Autism
Hierarchical Additive Poisson Disk Sampling
Creators: name: Dieckmann, Alexander
name: Klein, Reinhard
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Point
based models

description: Generating samples of point clouds and meshes with blue noise characteristics is desirable for many applications in rendering and geometry processing. Working with laser-scanned or lidar point clouds, we usually find region with artifacts called scanlines and scan-edges. These regions are problematic for geometry processing applications, since it is not clear how many points should be selected to define a proper neighborhood. We present a method to construct a hierarchical additive poisson disk sampling from densely sampled point sets, which yield better point neighborhoods. It can be easily implemented using an octree data structure where each octree node contains a grid, called Modifiable Nested Octree [Sch14]. The generation of the sampling amounts to distributing the points over a hierarchy (octree) of resolution levels (grids) in a greedy manner. Propagating the distance constraint r through the hierarchy while drawing samples from the point set leads to a hierarchy of well distributed, random samplings. This ensures that in a disk with radius r, around a point, no other point upwards in the hierarchy is found. The sampling is additive in the sense that the union of points sets up to a certain hierarchy depth D is a poisson disk sampling. This makes it easy to select a resolution where the scan-artifacts have a lower impact on the processing result. The generated sampling can be made sensitive to surface features by a simple preprocessing step, yielding high quality low resolution poisson samplings of point clouds.
description: Vision, Modeling and Visualization
description: Scanning
description: 79
description: 87
description: Alexander Dieckmann and Reinhard Klein
description: CCS Concepts: Computing methodologies --> Point-based models
sj-docx-1-aut-10.1177_13623613221146444 – Supplemental material for Parent-to-parent support among parents of children with autism: A review of the literature
Creators: name: Lee, James D
name: Terol, Adriana Kaori
name: Yoon, Christy D
name: Meadan, Hedda
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: Education
subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, sj-docx-1-aut-10.1177_13623613221146444 for Parent-to-parent support among parents of children with autism: A review of the literature by James D Lee, Adriana Kaori Terol, Christy D Yoon and Hedda Meadan in Autism
sj-docx-1-dhj-10.1177_20552076221144506 - Supplemental material for Impact of a digital health literacy intervention and risk predictors for multimorbidity among poor women of reproductive years: Results of a randomized-controlled trial
Creators: name: Jafree, Sara Rizvi
name: Muzammil, Anam
name: Burhan, Syeda Khadija
name: Bukhari, Nadia
name: Fischer, Florian
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-1-dhj-10.1177_20552076221144506 for Impact of a digital health literacy intervention and risk predictors for multimorbidity among poor women of reproductive years: Results of a randomized-controlled trial by Sara Rizvi Jafree, Anam Muzammil, Syeda Khadija Burhan, Nadia Bukhari and Florian Fischer in Digital Health
Additional file 4 of Prevalence of iodine deficiency and associated factors among school-age children in Ethiopia: a systematic review and meta-analysis
Creators: name: Baffa, Lemlem Daniel
name: Angaw, Dessie Abebaw
name: Abriham, Zufan Yiheyis
name: Gashaw, Moges
name: Agimas, Muluken Chanie
name: Sisay, Mekonnen
name: Muhammad, Esmael Ali
name: Mengistu, Berhanu
name: Belew, Aysheshim Kassahun
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Science Policy
Mental Health

description: Additional file 4. PRISMA 2020 checklist.
Fast and Dynamic Construction of Bounding Volume Hierarchies Based on Loose Octrees
Creators: name: Gu, Feng
name: Jendersie, Johannes
name: Grosch, Thorsten
Publisher: name: The Eurographics Association
Year: 2018

description: Many fast methods for constructing BVHs on the GPU only use the centroids of primitive bounding boxes and ignore the actual spatial extent of each primitive. We present a fast new way and a memory-efficient implementation to build a BVH from a loose octree for real-time ray tracing on fully dynamic scenes. Our memory-efficient implementation is an in-place method and generalizes the state-of-the-art parallel construction for LBVH to build the BVH from nodes of different levels.
description: Vision, Modeling and Visualization
description: Data Structures and Volumes
description: 89
description: 96
description: Feng Gu, Johannes Jendersie, and Thorsten Grosch
sj-docx-1-ecx-10.1177_00144029221146576 - Supplemental material for High-Quality Systematic Literature Reviews in Special Education: Promoting Coherence, Contextualization, Generativity, and Transparency
Creators: name: Cumming, Michelle M.
name: Bettini, Elizabeth
name: Chow, Jason C.
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, sj-docx-1-ecx-10.1177_00144029221146576 for High-Quality Systematic Literature Reviews in Special Education: Promoting Coherence, Contextualization, Generativity, and Transparency by Michelle M. Cumming, Elizabeth Bettini and Jason C. Chow in Exceptional Children
sj-docx-5-cpc-10.1177_10556656221148901 - Supplemental material for Predictors of Adverse Outcomes Following Cleft Palate Repair: An Analysis of Over 2500 Patients Using International Smile Train Data
Creators: name: Chwa, Emily S.
name: Stoehr, Jenna R.
name: Gosain, Arun K.
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-5-cpc-10.1177_10556656221148901 for Predictors of Adverse Outcomes Following Cleft Palate Repair: An Analysis of Over 2500 Patients Using International Smile Train Data by Emily S. Chwa, Jenna R. Stoehr and Arun K. Gosain in The Cleft Palate Craniofacial Journal
Compressed Bounding Volume Hierarchies for Efficient Ray Tracing of Disperse Hair
Creators: name: Martinek, Magdalena
name: Stamminger, Marc
name: Binder, Nikolaus
name: Keller, Alexander
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Ray tracing
Parametric curve and surface models

description: Ray traced human hair is becoming more and more ubiquitous in photorealistic image synthesis. Despite hierarchical data structures for accelerated ray tracing, performance suffers from the bad separability inherent with ensembles of hair strands. We propose a compressed acceleration data structure that improves separability by adaptively subdividing hair fibers. Compression is achieved by storing quantized as well as oriented bounding boxes and an indexing scheme to specify curve segments instead of storing them. We trade memory for speed, as our approach may use more memory, however, in cases of highly curved hair we can double the number of traversed rays per second over prior work. With equal memory we still achieve a speed-up of up to 30%, with equal performance we can reduce memory by up to 30%.
description: Vision, Modeling and Visualization
description: Data Structures and Volumes
description: 97
description: 102
description: Magdalena Martinek, Marc Stamminger, Nikolaus Binder, and Alexander Keller
description: CCS Concepts: Computing methodologies --> Ray tracing; Parametric curve and surface models
Efficient Subsurface Scattering Simulation for Time-of-Flight Sensors
Creators: name: Bulczak, David
name: Kolb, Andreas
Publisher: name: The Eurographics Association
Year: 2018

description: Today, amplitude modulated continuouswave (AMCW) Time-of-Flight (ToF) range cameras are ubiquitous devices that are employed in many fields of application, such as robotics, automotive industry, and home entertainment. Compared to standard RGB cameras, ToF cameras suffer from various error sources related to their fundamental functional principle, such as multipath interference, motion artifacts, or subsurface scattering. Simulating ToF cameras is essential in order to improve future ToF devices or to predict their operability in specific application scenarios. In this paper we present a first simulation approach for ToF cameras that incorporates subsurface scattering effects in semi-transparent media. Subsurface scattering significantly alters the optical path length measured by the ToF camera, leading to erronous phase calculations and, eventually, to wrong range values. We address the challenge to efficiently simulate the superimposed light paths regarding intensity and phase. We address a restricted constellation, i.e., a single semi-transparent layer located on top of an opaque object. Our interactive screen-space AMCW ToF simulation technique incorporates a two-pass light scattering propagation, involving the forward and backward scattering at the interface between air and the semi-transparent object, taking amplitude and phase variations into account. We evaluate our approach by comparing our simulation results to real-world measurements.
description: Vision, Modeling and Visualization
description: Data Structures and Volumes
description: 103
description: 109
description: David Bulczak and Andreas Kolb
Additional file 5 of Prevalence of iodine deficiency and associated factors among school-age children in Ethiopia: a systematic review and meta-analysis
Creators: name: Baffa, Lemlem Daniel
name: Angaw, Dessie Abebaw
name: Abriham, Zufan Yiheyis
name: Gashaw, Moges
name: Agimas, Muluken Chanie
name: Sisay, Mekonnen
name: Muhammad, Esmael Ali
name: Mengistu, Berhanu
name: Belew, Aysheshim Kassahun
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Science Policy
Mental Health

description: Additional file 5: Table S3. Metadata of the extracted data assessing iodine deficiency and associated factors among school-age children in Ethiopia, 2023.
Archive of International Society of Antioxidants in Nutrition & Health, Vol 5, No 1 (2017): Paris Redox 2017 World congress abstracts archive
Creators: name: International Society Of Antioxidants In Nutrition & Health
Publisher: name: International Society of Antioxidants in Nutrition & Health
Year: 2017

description: This volume 5 (issue 1) is dedicated to the Paris Redox World Congress which was be held in Paris, France, from June 26 to June 27, 2017. Conference site: http://www.isanh.net
Identifying Similar Eye Movement Patterns with t-SNE
Creators: name: Burch, Michael
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Visualization techniques

description: In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions. The lower-dimensional data is then represented as scatterplots reflecting the local structure of the high-dimensional eye movement data and hence, providing a strategy to identify similar eye movement patterns. The scatterplots can be used as means to interact with and to further annotate and analyze the data for additional properties focusing on space, time, or participants. Since t-SNE oftentimes produces groups of data points mapped to and overplotted in small scatterplot regions, we additionally support the modification of data point groups by a force-directed placement as a post processing in addition to t-SNE that can be run after the initial t-SNE algorithm is stopped. This spatial modification can be applied to each identified data point group independently which is difficult to integrate into a standard t-SNE approach. We illustrate the usefulness of our technique by applying it to formerly conducted eye tracking studies investigating the readability of public transport maps and map annotations.
description: Vision, Modeling and Visualization
description: Information and Geographic Visualization
description: 111
description: 118
description: Michael Burch
description: CCS Concepts: Human-centered computing --> Visualization techniques
Additional file 1 of Explore the practice and barriers of collaborative health policy and system research-priority setting exercise in Ethiopia
Creators: name: Tilahun, Binyam
name: Amare, Getasew
name: Endehabtu, Berhanu Fikadie
name: Atnafu, Asmamaw
name: Derseh, Lemma
name: Gurmu, Kassu Ketema
name: Delllie, Endalkachew
name: Nigusie, Adane
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Cancer
Science Policy

description: Supplementary Material 1.
Correlated Point Sampling for Geospatial Scalar Field Visualization
Creators: name: Roveri, Riccardo
name: Lehmann, Dirk J.
name: Gross, Markus
name: Günther, Tobias
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing Ñ Empirical studies in visualization
Geographic visualization

description: Multi-variate visualizations of geospatial data often use combinations of different visual cues, such as color and texture. For textures, different point distributions (blue noise, regular grids, etc.) can encode nominal data. In this paper, we study the suitability of point distribution interpolation to encode quantitative information. For the interpolation, we use a texture synthesis algorithm, which paves the path towards an encoding of quantitative data using points. First, we conduct a user study to perceptually linearize the transitions between uniform point distributions, including blue noise, regular grids and hexagonal grids. Based on the linearization models, we implement a point sampling-based visualization for geospatial scalar fields and we assess the accuracy of the user perception abilities by comparing the perceived transition with the transition expected from our linearized models. We illustrate our technique on several real geospatial data sets, in which users identify regions with a certain distribution. Point distributions work well in combination with color data, as they require little space and allow the user to see through to the underlying color maps. We found that interpolations between blue noise and regular grids worked perceptively best among the tested candidates.
description: Vision, Modeling and Visualization
description: Information and Geographic Visualization
description: 119
description: 126
description: Riccardo Roveri, Dirk J. Lehmann, Markus Gross, and Tobias Günther
description: CCS Concepts: Human-centered computing Ñ Empirical studies in visualization; Geographic visualization
Clustering for Stacked Edge Splatting
Creators: name: Abdelaal, Moataz
name: Hlawatsch, Marcel
name: Burch, Michael
name: Weiskopf, Daniel
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Human
centered computing
Information visualization
Visual analytics

description: We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layouts known from parallel edge splatting, individual graphs are horizontally stacked by drawing partial edges, leading to stacked edge splatting. This allows us to uncover the temporal patterns together with achieving time-scalability. To preserve the graph structural information, we introduce the representative graph where edges are aggregated and drawn at full length. The representative graph is then placed on the top of the last graph in the (sub)sequence. This allows us to obtain detailed information about the partial edges by tracing them back to the representative graph. We apply sequential temporal clustering to obtain an overview of different temporal phases of the graph sequence together with the corresponding structure for each phase. We demonstrate the effectiveness of our approach by using real-world datasets.
description: Vision, Modeling and Visualization
description: Information and Geographic Visualization
description: 127
description: 134
description: Moataz Abdelaal, Marcel Hlawatsch, Michael Burch, and Daniel Weiskopf
description: CCS Concepts: Human-centered computing --> Information visualization; Visual analytics
Painterly Rendering using Limited Paint Color Palettes
Creators: name: Lindemeier, Thomas
name: Gülzow, J. Marvin
name: Deussen, Oliver
Publisher: name: The Eurographics Association
Year: 2018
Subjects: Computing methodologies
Non
photorealistic rendering
Image manipulation
Applied computing
Performing arts

description: We present a painterly rendering method for digital painting systems as well as visual feedback based painting machines that automatically extracts color palettes from images and computes mixture recipes for these from a set of real base paint colors based on the Kubelka-Munk theory. In addition, we present a new algorithm for distributing stroke candidates, which creates paintings with sharp details and contrasts. Our system is able to predict dry compositing of thinned or thick paint colors using an evaluation scheme based on example data collected from a calibration step and optical blending. We show results generated using a software stroke-based renderer and a painting machine.
description: Vision, Modeling and Visualization
description: Joint Session with GCPR II
description: 135
description: 145
description: Thomas Lindemeier, J. Marvin Gülzow, and Oliver Deussen
description: CCS Concepts: Computing methodologies --> Non-photorealistic rendering; Image manipulation; Applied computing --> Performing arts