cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Study of associations between COVID-19 and bacterial infections: a retrospective study
Creators: name: Diaz, Raquel
name: Afreixo, Vera
name: Rocha, Filipa
name: Nogueira, Gabriela
name: Ramalheira, Elmano
name: Gago, Bruno
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: The COVID-19 pandemic disease, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (Sars-CoV-2), has affected millions of people worldwide. Clinical practice highlights that the number of patients with COVID-19 diagnosed with bacterial infections during periods of hospitalization is increasing. Rapid characterization of co-infection is essential in the treatment of most patients with COVID-19, as it can result in failure of antimicrobial therapy. Some studies report the prevalence of variable coinfection among patients with COVID-19, however, it can be up to 50% in patients who did not survive. (1, 2) The present study aims: - To assess the occurrence of associations between COVID-19 and bacterial infections in patients hospitalized at Centro Hospitalar Baixo Vouga – Aveiro between April 1, 2020 and December 31, 2021. - Contribute to the definition of pharmacological therapy strategies in patients with mixed, bacterial and Sars-CoV-2 infections.
description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Information sur les anches de tenora
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Technology-mediated intervention and cognitive functioning: a systematic review and meta-analysis
Creators: name: Stefane, Pollyanna
name: Afreixo, Vera
name: Ribeiro, Oscar
name: Silva, Anabela Gonçalves
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: There are several types of physical activity activities that are mediated by technology, including sports (8-10) or dancing (11-14). These activities are believed to require both physical and cognitive abilities and have been used to improve physical and cognitive functions in older adults (15-17). To our knowledge there is no systematic review that aimed at synthetizing and evaluating existing evidence on the impact of technology-mediated physical activity on cognitive functioning of older adults with clinical conditions, therefore this study aims to assess the impact of technology-mediated physical activity on the cognitive function of older adults with clinical conditions. A meta-analysis was performed using R packages meta and metafor in RStudio Version 1.4.1103 (Rstudio Team, 2020) running R version 4.0.5 (R Core Team, 2021). Cognitive function was classified into five domains, (1) general cognition (2) immediate verbal memory, (3) delayed verbal memory, (4) attention, and (5) inhibition. Thirteen studies were included in this systematic review (10, 15, 21-31). Results suggest no difference between interventions mediated by technology and the other interventions (i.e. physical exercise and combined physical and cognitive exercise) on the cognition of older adults with clinical conditions. Given the potential benefits of interventions mediated by technology, more research is needed to establish the effective components for cognition and physical function and apply this understanding to the development of evidence-based interventions and stablished guidelines for the best prevention or treatment of cognitive decline.
description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
What are the predictors of clinical improvement in adolescents with chronic neck pain after pain neuroscience education and exercise? – secondary analysis of a randomized controlled trial
Creators: name: Andias, Rosa
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: A recent study by our team suggested that interventions based on pain neuroscience education and exercise are similarly effective in the treatment of adolescents with neck pain (NP). However, we were unable to find any studies that explored factors of treatment response. Thus, this study aimed to explore whether sociodemographic data, pain characteristics, psychosocial factors, sleep, symptoms of central sensitization, pressure pain thresholds and neck muscles endurance at baseline predicted clinical improvement when using different standards: the Patient Global Impression of Change (PGIC) scale and the minimal change in the Numeric Pain Rating Scale (NPRS) for pain intensity and the Functional Disability Inventory (FDI) for disability, at post-intervention and 6-month follow-up. This study is a secondary analysis of a randomized controlled trial conducted with 127 adolescents with NP. To classify adolescents who improved, clinical improvement criteria were used: i) reporting a PGIC≥5 (moderately better, better, or a great deal better), ii) ≥50% reduction of pain intensity in the NPRS, iii) ≥50% reduction of disability in the FDI, and iv) ≥50% reduction in the NPRS and in the FDI, from baseline levels. Independent logistic-regression analyses were used to examine univariable and multivariable associations between the independent and dependent (clinical improvement) variables. At post-intervention, a multivariable model was found for the improvement of 50% in the FDI in which older age (OR=0.64, p<0.05) and moderate physical activity (OR=1.00, p<0.05) remained associated with decreased and increased likelihood of improvement, respectively. At 6-month follow-up, two multivariable model were found for the improvement of 50% in the NPRS in which higher disability (OR=0.94, p<0.05) remained associated with decreased likelihood of improvement and for the improvement of 50% in the FDI in which having pain often (OR=0.23, p<0.05) and higher neck flexors endurance (OR=1.07, p<0.05) were associated with decreased and increased likelihood of improvement, respectively.
description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning
Creators: name: Talker, Leeran
name: Dogan, Cihan
name: Neville, Daniel
name: Lim, Rui Hen
name: Broomfield, Henry
name: Lambert, Gabriel
name: Selim, Ahmed
name: Brown, Thomas
name: Wiffen, Laura
name: Carter, Julian
name: Ashdown, Helen F.
name: Hayward, Gail
name: Vijaykumar, Elango
name: Weiss, Scott T.
name: Chauhan, Anoop
name: Patel, Ameera X.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Molecular Biology
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Virology

description: Spirometry is the gold standard for COPD diagnosis and severity determination, but is technique-dependent, nonspecific, and requires administration by a trained healthcare professional. There is a need for a fast, reliable, and precise alternative diagnostic test. This study’s aim was to use interpretable machine learning to diagnose COPD and assess severity using 75-second carbon dioxide (CO2) breath records captured with TidalSense’s N-TidalTM capnometer. For COPD diagnosis, machine learning algorithms were trained and evaluated on 294 COPD (including GOLD stages 1–4) and 705 non-COPD participants. A logistic regression model was also trained to distinguish GOLD 1 from GOLD 4 COPD with the output probability used as an index of severity. The best diagnostic model achieved an AUROC of 0.890, sensitivity of 0.771, specificity of 0.850 and positive predictive value (PPV) of 0.834. Evaluating performance on all test capnograms that were confidently ruled in or out yielded PPV of 0.930 and NPV of 0.890. The severity determination model yielded an AUROC of 0.980, sensitivity of 0.958, specificity of 0.961 and PPV of 0.958 in distinguishing GOLD 1 from GOLD 4. Output probabilities from the severity determination model produced a correlation of 0.71 with percentage predicted FEV1. The N-TidalTM device could be used alongside interpretable machine learning as an accurate, point-of-care diagnostic test for COPD, particularly in primary care as a rapid rule-in or rule-out test. N-TidalTM also could be effective in monitoring disease progression, providing a possible alternative to spirometry for disease monitoring.
The Relative Effects of General versus Descriptive Praise on a Card Sorting Task
Creators: name: Scheer, Robert Ryan
Publisher: name: Digital Repository at the University of Maryland
Year: 1976

description: It has frequently been postulated that descriptive praise, which labels the behavior being praised, is superior to general praise, which delivers an accolade without specifying the behavior being praised. Research investigating this postulate is meager. The purpose of this study was to investigate whether in fact descriptive praise is superior to general praise. Fifty fifth- and sixth-grade students from the Lida Lee Tall Center in Towson, Maryland were randomly selected to serve as subjects. Twelve boys and eight girls were randomly assigned to each of two praise conditions (i.e. descriptive praise and general praise) and six boys and four girls were randomly assigned to a control condition. Subjects were seen individually and pretested to ensure they could perform the experimental task. The assigned task was to sort 108 cards by one of three possible sorting methods. The first 54 card sorts served as a baseline to determine the preferred sorting method for each subject. During the final 54 card sorts, subjects in the two praise conditions received either general praise (e.g. "Great") or descriptive praise (e.g. "Great. I like the way you are sorting by shape") on a FR3 schedule for sorting cards by a randomly selected sorting method. Baseline data were collected for the entire 108 card sorts in the control condition. Multivariate analyses of variance were carried out on the extent to which the three groups changed their sorting method from their baseline method and on the extent to which the two praise groups sorted by the method they were reinforced for. The results indicated that the descriptive praise group performed significantly better than both the general praise and control groups. No significant difference emerged between the general praise and control groups. The male and female subjects did not significantly differ in their response to the two praise conditions. These results support the position that descriptive praise is more effective than general praise. It was suggested that the labeling of the behavior being reinforced in descriptive praise increased the informative value of the reinforcer thereby giving subjects in this condition an advantage over the subjects receiving general praise who had to, in effect, guess what response on their part elicited the praise.
Whisper sweet nothings to me Erdoğan: developmentalist propaganda, partisan emotions, and economic evaluations in Turkey
Creators: name: Öztürk, Aykut
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Medicine
subject: Neuroscience
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Economic explanations are central to our understanding of popular support for authoritarian regimes. Yet, we do not know to what extent economic evaluations of citizens living under these regimes are amenable to regime propaganda. This article engages with this question by relying on the case of Turkey, where the authoritarian regime led by Erdoğan has been able to sustain its popular support despite years of economic decline. A national developmentalist narrative has been central to the regime’s economic propaganda in Turkey since 2011. Relying on national face-to-face survey data, I first demonstrate that economic misperceptions grounded in this narrative are widespread among supporters of the ruling coalition in Turkey. I then use an online survey experiment to show that exposure to the developmentalist narrative improves economic evaluations among ruling coalition voters. These effects are mediated through the increase in partisan emotions, and they are especially large for non-partisan voters of the ruling coalition. These results help us understand how Erdoğan’s regime could sustain its popular support despite years of economic decline. From a broader perspective, this article demonstrates that scholars of authoritarian regimes need to pay more attention to economic narratives and their affective structures.
Erste Schritte zur hochschulweiten Einführung der ORCID iDan der Universität Bielefeld
Creators: name: Peil, Vitali
Publisher: name: Zenodo
Year: 2020
Subjects: ORCID
Open Researcher and Contributor ID
ORCID DE
Autorenidentifikation
PID
Persistent Identifier
Open Science

description: Diese Präsentation zeigt die ersten Schritte zur hochschulweiten Einführung der ORCID iD an der Universität Bielefeld.
Graph Theory approach to COVID-19 transmission across adjacent municipals
Creators: name: Silva, Cristiana
name: Machado, Pedro Alexandre
name: Leitão, Rui Pedro
name: Pinheiro, Sofia
name: Afreixo, Vera
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Extensible and Community-Driven Thermodynamics, Transport, and Chemical Kinetics Modeling with Cantera: Expanding to Diverse Scientific Domains
Creators: name: Bae, Jongyoon
name: Chen, Bang-Shiuh
name: DeCaluwe, Steven
name: Goldsmith, Franklin C.
name: Hagström, China
name: Jackson, Gregory
name: Kee, Robert J.
name: Kogekar, Gandhali
name: Korff, Daniel
name: Niemeyer, Kyle E.
name: Speth, Raymond L.
name: Sun, Su
name: Walker, Anthony
name: Weber, Bryan W.
name: West, Richard
name: Xu, Chao
name: Zhao, Xinyu
Publisher: name: Zenodo
Year: 2022
Subjects: chemical kinetics
heterogeneous catalysis
electrochemistry
thermodynamics
transport phenomena
open source software

description: Cantera is an open-source suite of tools for solving problems involving chemical kinetics, thermodynamics, and transport processes. It consists of a core library written in C++ with interfaces for user applications available in Python, C++, MATLAB, C, and Fortran 90. Cantera’s object-oriented architecture enables efficient development of new models. Cantera objects/classes represent: Phases of matter (solids, liquids, gases, interfaces) Functions to calculate properties and rates Solvers for chemical equilibrium, time-dependent 0-D systems (reactor networks), and steady-state 1-D reacting systems (flames) The goals of this NSF-sponsored project are to: Extend Cantera’s capabilities Support scientific discovery and technology development in energy storage & conversion, chemical processing, and atmospheric chemistry Expand Cantera’s user base Outreach to critical fields including electrochemistry, heterogeneous catalysis, and atmospheric chemistry Broaden participation in the software’s development and management Improve Cantera’s sustainability and usability
description: This work is supported by the National Science Foundation under Grant Nos. 1931584, 1931391, 1931539, 1931592, 1931397, and 1931389.
TESS Experiments: Economists and Public Opinion: Expert Consensus and Economic Policy Judgments
Creators: name: Johnston, Christopher D.
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 measure the influence of expert consensus on public opinion. Respondents were randomly assigned to either one of 10 treatment groups or a control group. Treatment groups varied by economic policy statement (immigration, Medicare/aid cuts, trade with China, income tax cuts or the gold standard) and whether a summary of expert economic consensus was presented or not. Control group respondents were presented with neither economic policy statements nor expert consensus cues. A total of 2,394 respondents participated. All respondents answered questions to measure general trust in economic expert opinions. This allowed for comparison of responsiveness to and trust in expert opinion in technical and value-laden policy issues across groups and respondent demographics.
MPEC 2024-L43 : 2024 LR
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 LR

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.
Hydroxychloroquine reports to EudraVigilance database during COVID-19
Creators: name: Matos, Cristiano
name: Marmé, Maria Inês
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Introduction: Hydroxychloroquine is an antimalarial drug that belongs to the 4-aminoquinolone group. [1] Despite of this properties presents several immunomodulatory and anti-inflammatory characteristics. [1,2] In 2020, with the emergence of the COVID-19 pandemic, researchers used existing drugs with potential for the treatment of COVID-19, including hydroxychloroquine, which ended up being used off-label. [3,4] From the clinical trials hydroxychloroquine has many adverse effects that can increase risk for the SARS-COV-2 patients health. Common adverse effects are related to gastrointestinal and cardiovascular systems, neurotoxicity and retinopathy. [2,5]. The objective of this research was to describe the adverse effects profile of hydroxychloroquine in COVID-19 patients and to characterize the risks associated with off-label use of hydroxychloroquine. Methods: An observational, retrospective and descriptive study was conducted. Information collected from the “Eudravigilance” database was analyzed using descriptive statistics with R Studio® software. Information about the source of reporting, patient sex, serious adverse reactions, deaths and off-label cases and their outcome, were evaluated and compared in the pre- and post-pandemic period. Results: The number of reports of adverse reactions to hydroxychloroquine increased significantly during the pandemic period (increase of 310.3%), with health professionals reporting the most (92.0%). The potential for harm has increased as off-label administration of hydroxychloroquine is associated with an increased incidence and severity of adverse reactions. Serious outcomes, as deaths presented an increased number during pandemic. The total number of suspected adverse drug reactions reports increased from a mean of 7.7 reactions per month pre pandemic to 114.5 reactions after the pandemic. Serious outcomes also increased during pandemic: a total of 361 (6.8%) reactions were considered serious before pandemic, and 2740 (26.6%) after pandemic begins. Finally, deaths associated with the use of hydroxychloroquine were also evaluated, of which 67.0% are described in off-label use. Discussion: The profile of safety of hydroxychloroquine appears to change during the pandemic with the off-label use. Hydroxychloroquine present different adverse reactions, which should be reported whenever possible. Its off-label use for COVID-19 has been shown to be a risk for patients, as it causes them more risks than usual use. In short, hydroxychloroquine appears to not bring benefits to COVID-19 and it ends up bringing several complications when it is administered.
description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
The future of a professional association: A causal layered perspective
Creators: name: Kam Tong Fan, G
Publisher: name: CQUniversity
Year: 2017
Subjects: classificationCode: 440999
subject: Social work not elsewhere classified

description: This study investigated the level of alliance of social workers in Singapore with their professional association, the Singapore Association of Social Workers (SASW). Currently, there is a lack of studies exploring, in some depth, membership issues amongst professional social work associations and their probable future. This study utilised a futures methodology framework, namely the 'Causal Layered analysis' (CLA) as its main research tools. A face-to-face semi-structured interview was administered to a non-proportional stratified sample of 27 qualified social workers. The main objective was to suggest strategies that would strengthen the current level of alliance between social workers and SASW, resolve some pertinent professional issues, and develop a new future for the Association. The findings suggested that respondents' views of alliances were highly influenced by broader personal, national and even global, structural and systemic issues as well as inherent organizational issues faced by the professional association. Despite social workers being critical of their own professional association, they were hopeful that it could effect positive changes for the profession. Many did not consider themselves as part of the change process; instead, they adopted a bystander stance and would only come to the rescue of SASW should it face serious threats of being dissolved. Factors that drew social workers to join and remain with SASW lie in the extent of how the Association's services, events and projects were being targeted, personalized and carried through sufficiently to add value to their current workplace achievements. There was a call for SASW to adopt strong bonding strategies that would interconnect as well as integrate social workers into a strong professional force.
Antimicrobial susceptibility profile of bacteria associated with urinary tract infections in Aveiro, 2021
Creators: name: Rodrigues, Leonor Carvalho
name: Rocha, Miriam
name: Nunes, Ana Rute
name: Raposo, Teresa
name: Afreixo, Vera
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Efficient Unified Stokes using a Polynomial Reduced Fluid Model
Creators: name: Panuelos, Jonathan
name: Goldade, Ryan
name: Batty, Christopher
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Physical simulation

description: Unsteady Stokes solvers, coupling stress and pressure forces, are a key component of accurate free surface simulators for highly viscous fluids. Because of the simultaneous application of stress and pressure terms, this creates a much larger system than the standard decoupled approach. We propose a reduced fluid model wherein interior regions are represented with incompressible polynomial vector fields. Sets of standard grid cells are consolidated into super-cells, each of which are modelled using only 26 degrees of freedom. This reduced model retains desirable behaviour of the full Stokes system with smaller computational cost.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
description: Posters
description: 1
description: 3
description: Jonathan Panuelos, Ryan Goldade, and Christopher Batty
description: CCS Concepts: Computing methodologies --> Physical simulation
Euroscaptor orlovi Zemlemerova 2016
Creators: name: Mittermeier, Russell A.
name: Wilson, Don E.
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Soricomorpha
Talpidae
Euroscaptor
Euroscaptor orlovi

description: 49. Orlov’s Mole Euroscaptor orlovi French: Taupe d'Orlov / German: Orlov-Maulwurf / Spanish: Topo de Orlov Taxonomy. Euroscaptor orlovi Zemlemerova et al., 2016, “VIETNAM, Lao Cai Province, 6 km W of Sa Pa, north slope of Fansipan Mt. area, near Tram Ton forest station, 22°21°N, 103°46’E, altitude 2000 m a.s.l.” Euroscaptor orlovi was formerly part of EL longirostris. Monotypic. Distribution. SW China (W Yunnan) and NW Vietnam (Lao Cai Province); possibly from N Laos E to N Vietnam, W of Red River. Descriptive notes. Head-body 106-129 mm, tail 15-17-5 mm, hindfoot 15-5 mm; weight 25-8-48-3 g. Tail is 12:6-15-1% of head-body length. Orlov’s Mole hasa large, elongated body. Tail is long and club-shaped, evenly covered with long hairs. Pelage is blackish brown throughout. Skull has long, narrow rostrum. Chromosomal complement from Sa Pa in Vietnam has 2n = 34 and FNa = 52 (reported as Long-nosed Mole, E. longirostris). Habitat. Mountain forests. Sympatric with La Touche’s Mole (Mogera latouchei), but Orlov’s Mole can be distributed in higher elevations. Food and Feeding. No information. Breeding. No information. Activity patterns. Orlov’s Mole is fossorial. Movements, Home range and Social organization. No information. Status and Conservation. Not assessed on The IUCN Red List. Bibliography. Kawada, Nguyen Truong Son & Dang Ngoc Can (2008, 2009), Zemlemerova, Bannikova, Abramov et al. (2013), Zemlemerova, Bannikova, Lebedev et al. (2016).
description: Published as part of Russell A. Mittermeier & Don E. Wilson, 2018, Talpidae, pp. 52-619 in Handbook of the Mammals of the World – Volume 8 Insectivores, Sloths and Colugos, Barcelona :Lynx Edicions on page 618, DOI: 10.5281/zenodo.6678191
Interactive Wood Fracture
Creators: name: Hädrich, Torsten
name: Scheffczyk, Jan
name: Palubicki, Wojciech
name: Pirk, Sören
name: Michels, Dominik L.
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Interactive simulation
Physical simulation

description: Abstract We propose a new approach for the simulation of wood as anisotropic material that takes its inherent fiber structure into account. Our approach is based on the Position-based Dynamics framework. We use the Shape Matching approach as the basis for modeling the isotropic attribute of wood. For simulating anisotropic behavior we employ a fiber model based on the Cosserat rod theory. Our approach supports dynamic fracturing and captures typical breaking patterns of wood.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
description: Posters
description: 5
description: 7
description: Torsten Hädrich, Jan Scheffczyk, Wojciech Palubicki, Sören Pirk, and Dominik L. Michels
description: CCS Concepts: Computing methodologies --> Interactive simulation; Physical simulation
MarineGEO Sampling Event & Environmental Monitoring Protocol
Creators: name: Harper, Leah
name: MarineGEO
name: Tennenbaum Marine Observatories Network
Publisher: name: Smithsonian Environmental Research Center
Year: 2022
Subjects: Ecology not elsewhere classified
Marine and estuarine ecology (incl. marine ichthyology)

description: The "MarineGEO Sampling Event & Environmental Monitoring Protocol" collects critical sampling event metadata and environmental data to support MarineGEO surveys used to investigate "Habitats and foundation species" and "Community organization and interactions".
Use this protocol to collect appropriate metadata for each sampling locality at least once per field season. The protocol collects qualitative and quantitative site characteristics such as coordinates, depth, salinity, and dissolved oxygen.
TESS Experiments: On the Record: Selecting Representatives on the Basis of Pork or Policy
Creators: name: Johnston, Travis
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 examine whether constituents prefer representatives with a record of distributive goods (pork) or broad legislation (policy). Respondents were randomly assigned to one of ten treatment groups featuring a newspaper clipping about an intra-party fight over a redistricted seat. Candidates were identified simply as Candidate A or Candidate B and each candidate highlighted either achievements in healthcare policy or securing of funds to construct a local hospital. Treatment groups varied by ideological positions of policy achievement (Neutral, Democrat, or Republican) plus two high-effort (HE) conditions for neutral policy condition (Policy HE or Pork HE) and order of appeal presentation (pork first or policy first). A total of 2,026 respondents participated. Respondents were surveyed on candidate preference, which candidate they believe works harder, and general approval of Congress. This allowed for comparison of voter preferences across ideological content and voter demographics.
Wind Erosion: Shape Modifications by Interactive Particle-based Erosion and Deposition
Creators: name: Krs, Vojtech
name: Hädrich, Torsten
name: Michels, Dominik L.
name: Deussen, Oliver
name: Pirk, Sören
name: Benes, Bedrich
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Shape modeling

description: We present a novel user-assisted method for physics-inspired modeling of geomorphological features on polygonal meshes using material erosion and deposition as the driving mechanisms. Polygonal meshes defining an input scene are converted into a volumetric data structure that efficiently tracks the mass and boundary of the resulting morphological changes. We use Smoothed Particle Hydrodynamics to simulate fluids and to track eroded material. Eroded material is converted to material particles and naturally deposits in locations such as sinks and corners. Once deposited, we convert material particles back into the volumetric representation.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
description: Posters
description: 9
description: 11
description: Vojtech Krs, Torsten Hädrich, Dominik L. Michels, Oliver Deussen, Sören Pirk, and Bedrich Benes
description: CCS Concepts: Computing methodologies --> Shape modeling
Tagungsbericht: Der Branitzer Außenpark im Brennpunkt widerstreitender Interessen
Creators: name: Klausmeier, Axel
name: Pahl, Andreas
Publisher: name: Burgen und Schlösser - Zeitschrift für Burgenforschung und Denkmalpflege
Year: 2022

description: Burgen und Schlösser - Zeitschrift für Burgenforschung und Denkmalpflege, Bd. 45 Nr. 4 (2004): Burgen und Schlösser - Zeitschrift für Burgenforschung und Denkmalpflege
Prognostic predictors in stroke patients undergoing thrombectomy with recanalization
Creators: name: Rocha, Vanusa
name: Afreixo, Vera
name: Gregório, Tiago
name: Cabral, Andrea
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
DICTION, LANGUAGE STYLE AND MODES OF SPEECH BY INDONESIAN FEMALE DAI (CASE STUDY OF USTADZAH MUMPUNI HANDAYAYEKTI'S SPEECH)
Creators: name: DYAH ROHMA WATI
name: DJATMIKA
name: SUMARLAM
name: TRI WIRATNO
Publisher: name: Zenodo
Year: 2024
Subjects: Mode, Diction, Language Style.

description: Abstract

The objectives of this study are: 1) to examine the sentence mode in Islamic sermon of female dai (Ustazah MH). ; 2) To examine the diction and language style in Islamic sermon of female dai (Ustazah MH); and 4) To examine the function of language style used in Islamic sermon of female dai (Ustazah MH). This study used a qualitative approach. The strategy used in this study was a case study. The data in this study were Ustazah MH’s preachers in which there were mode, diction and style of language. The sources of data in this study were two video lectures of Ustazah MH. The methods of data collection were listening and basic note-taking techniques. The validity of the data used by the researcher was triangulation of data sources. For data analysis, the researcher used descriptive analysis model of Miles and Huberman covered data reduction, data presentation, and conclusion. The results of the study show that: The sentence modes used in MH's lectures included declarative, interrogative, and imperative modes. The dictions contained in MH's lectures were denotative and connotative. The style of language used were repetition, allegory, and parallelism, antithesis, climax, anticlimax, synecdoche, hyperbole, simile, depersonification, metonymy, metaphor, and euphemism.
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data
Creators: name: Fangbemi, Abassin Sourou
name: Lu, Yi Fei
name: Xu, Maoyuan
name: Luo, Xiaowu
name: Rolland, Alexis
name: Raissi, Chedy
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Animation

description: This work introduces a novel strategy for generating synthetic training data for 2D and 3D pose estimation of animals using keyframe animations. With the objective to automate the process of creating animations for wildlife, we train several 2D and 3D pose estimation models with synthetic data, and put in place an end-to-end pipeline called ZooBuilder. The pipeline takes as input a video of an animal in the wild, and generates the corresponding 2D and 3D coordinates for each joint of the animal's skeleton. With this approach, we produce motion capture data that can be used to create animations for wildlife.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
description: Showcases
description: 1
description: 2
description: Abassin Sourou Fangbemi, Yi Fei Lu, Maoyuan Xu, Xiaowu Luo, Alexis Rolland, and Chedy Raissi
description: CCS Concepts: Computing methodologies --> Animation
Assessment of the stability of a procedure for variables selection in high dimensionality data: an application to genomic data - Alzheimer’s Disease
Creators: name: Rodrigues, Leonor Carvalho
name: Cabral, Jorge
name: Tavares, Ana Helena
name: Enes, Vera
name: Pinheiro, Miguel
name: Moura, Gabriela
name: Afreixo, Vera
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Contact and Human Dynamics from Monocular Video
Creators: name: Rempe, Davis
name: Guibas, Leonidas J.
name: Hertzmann, Aaron
name: Russell, Bryan
name: Villegas, Ruben
name: Yang, Jimei
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Computer vision problems
Motion capture

description: Existing methods for human motion from video predict 2D and 3D poses that are approximately accurate, but contain visible errors that violate physical constraints, such as feet penetrating the ground and bodies leaning at extreme angles. We present a physics-based method for inferring 3D human motion from video sequences that takes initial 2D and 3D pose estimates as input. We first estimate ground contact timings with a neural network which is trained without hand-labeled data. A physicsbased trajectory optimization then solves for a physically-plausible motion, based on the inputs. We show this process produces motions that are more realistic than those from purely kinematic methods for character animation from dynamic videos. A detailed report that fully describes our method is available at geometry.stanford.edu/projects/human-dynamics-eccv-2020.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
description: Showcases
description: 3
description: 5
description: Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang
description: CCS Concepts: Computing methodologies --> Computer vision problems; Motion capture
Applying machine learning methods to predict the Parkinson´s Disease Questionnaire-39 Summary Index
Creators: name: Magano, Daniel
name: Moreira, Joana
name: Rodrigues, Pedro
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Do Variant Histologies of Urothelial Carcinoma change the survival outcome in patients managed with radical cystectomy?
Creators: name: Pereira, João Nuno
name: Reis, João
name: Braga, Isaac
name: Freitas, Rui
name: Moreira Da Silva, Vitor
name: Magalhães, Sanches
name: Lobo, Francisco
name: Morais, António
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
The current use of digital dance in neurological populations: a scoping review
Creators: name: Ng, Hayley
name: Patterson, Kara
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Fine Arts
subject: Medicine and Health Sciences
subject: Arts and Humanities
subject: Rehabilitation and Therapy

description: The objective of this review is to report on the current use of digital dance on physical and psychosocial factors in neurological populations. Specifically, this review seeks to: 1) describe digital dance interventions used in neurological populations using FITT principles (frequency, intensity, time, type), 2) examine the feasibility of digital dance interventions in terms of adverse events, dropout, and adherence, 3) examine the effect of digital dance on physical (gait, balance, falls risk, functional mobility) and psychosocial (mood, mental health) factors, and 4) describe the perspectives of participants engaging in digital dance.
WeightShift: Accelerating Animation at Framestore with Physics
Creators: name: Chapman, Danny
name: Daoust, Tim
name: Ormos, Andras
name: Lewis, Joseph
Publisher: name: The Eurographics Association
Year: 2020

description: Framestore and WeightShift created a full-body physics simulation to deliver art-directed shots in highly dynamic scenarios in several days instead of several weeks. Our technique combines ragdoll simulation and keyframe animation in a new control scheme that is integrated in a standard Maya rig to produce a hybrid simulation workflow. The new workflow was used in over 50 completed shots, and is in production on numerous current projects. In this session we share our experience with full-body simulation, and discuss the numerous advantages and challenges of the technique.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
description: Showcases
description: 7
description: 8
description: Danny Chapman, Tim Daoust, Andras Ormos, and Joseph Lewis
Thyroid Cancer Incidence in North Region of Portugal
Creators: name: Magno, Marisa
name: Rodrigues, Jéssica
name: Bento, Maria José
name: Pereira, Isabel
name: Freitas, Adelaide
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
MASTER SCADA ISHLAB CHIQISH MUHITI VA ISHLAB CHIQISH MUHITINING INTERFEYSI XUSUSIDA AYRIM MULOHAZALAR
Creators: name: Buriyev, Bobur
name: Rasulov, Jahongir
Publisher: name: Zenodo
Year: 2024

description: Ushbu tezisda Master SCADA ishlab chiqish muhiti va ishlab chiqish muhitining interfeysi xususida ayrim fikr mulohazalar yuritilgan. Unda ushbu tizimning xossalari, qurilma manbalari, Master Scada foydalanuvchi interfeysining ishlash mexanizmlari xususida ma’lumotlar berilgan. Bundan tashqari ushbu obyektning funksional elementlari, algoritmlari va loyihalash tizimlari to’g’risida misollar asosida aniq ma’lumotlar berilgan.
Negative Jacobian Free Simulations Using Principal Stretches
Creators: name: Francu, Mihail
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Physical simulation

description: Finite element (FE) simulations are prone to encountering negative Jacobians during the solving process. If nothing is done, the simulation can be brought to a halt, result in inverted elements or have undetermined behavior. We propose a solution that uses principal stretches as slack variables in a constrained minimization formulation and enforce them to always be positive. We show that our approach can never hit inverted configurations, thus being suitable for applications where inversion cannot be tolerated. We implement the method in 2D and show that it outperforms standard FE methods in stressful scenarios.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
description: Showcases
description: 9
description: 10
description: Mihail Francu
description: CCS Concepts: Computing methodologies --> Physical simulation
If data is reused in the forest and no one is around to hear it, did it happen? A citation count investigation.
Creators: name: Borda, Susan
Publisher: name: Zenodo
Year: 2022
Subjects: citations
data

description: In this presentation I will describe the process and results of tracking a citation from a data repository through the article publication process and trying to add a citation to one of our DOIs. I will also discuss some other confusing aspects related to citation counts as indicated in various systems. Although I discovered numerous problems with citations, they still seem to be one of the best ways to determine if a dataset has been downloaded and used (rather than accessed by a bot), especially with repositories that do not require people to login or provide an email to download a dataset. Nonetheless, the lack of transparency in some these systems and processes obscures how and where data is being used.
Proposal for a Maturity Continuum Model for Open Research Data
Creators: name: Guirlet, Marielle
name: Bongi, Gaia
name: Point, Elise
name: Urvoy, Grégoire
name: Schneider, René
Publisher: name: Zenodo
Year: 2022
Subjects: ORD, research communities, ORD standards

description: These are the presentation slides of a lightning talk given at IDCC 2022. As a contribution to the general effort in research to generalize and improve the practices of Open Research Data (ORD), we developed a model conceptualizing the degrees of maturity of a research community in terms of ORD. This model may be used to assess the ORD capacity or maturity level of a specific research community, to strengthen the use of standards with respect to ORD within this community, and to increase its ORD maturity level.
 We hereby present the background and our motivations for developing such an instrument as well as the reasoning leading to its design. We present its elements into detail and discuss possible applications.
TESS Experiments: Are Population-Based Survey Experiments Truly Unparalleled? A Test Using Parallel Designs
Creators: name: Leeper, Thomas
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 examine the effects of partisan bias and media framing on political attitudes. The study included three experiments which measured support for policy or action proposals. The first experiment randomly assigned respondents to either a treatment or control condition. Respondents in the treatment group read information about a student loan forgiveness proposal and an argument against the proposal framed in terms of individual responsibility. Control group respondents read only basic information about the proposal. The second experiment randomly assigned respondents to one five conditions (4 treatments, 1 control). All respondents read information on the DREAM Act proposal. Treatment groups varied by degree of partisan polarization (high or low) and the argument (for or against) included in the article. Control group respondents read only basic information about the proposal. The third experiment randomized respondents into one of four conditions (2 treatment, 2 control) and asked them to indicate their support for allowing a hate group to rally on public grounds. Treatment groups were presented with news excerpts which emphasized free speech concerns and varied by rally location (local or distant). Control groups received news excerpts for either a local or distant rally but did not include free speech frames. A total of 593 respondents participated in all experiments. The experiments were run in parallel on six other samples. This allowed for direct cross-sample comparisons of the size of framing effects.
Fast Eulerian Fluid Simulation In Games Using Poisson Filters
Creators: name: Rabbani, Amir H.
name: Khiat, Soufiane
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Physical simulation

description: We present separable Poisson filters to accelerate the projection step in Eulerian fluid simulation. These filters are analytically computed offline and are easy to integrate into any fluid algorithm with a Poisson pressure computation step. We take advantage of the recursive structure of the Jacobi method to construct and then reduce a kernel that is used to solve the Poisson pressure entirely on GPU. Our method demonstrates promising speedups that scale well with both the grid resolution and the target Jacobi iteration.
description: Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
description: Showcases
description: 11
description: 13
description: Amir H. Rabbani and Soufiane Khiat
description: CCS Concepts: Computing methodologies --> Physical simulation
The impact of Intensive Care Unit admission, sex and vaccination on COVID-19 death
Creators: name: Cardoso, Catarina Silva
name: Gomes, Matilde Da Fonseca Leitão
name: Oliveira, Natacha Dos Santos
name: Mineiro, Maria Francisca De Azevedo
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data
Content validation index of an interdisciplinary intervention plan to support informal caregivers in Autonomous Region of Azores
Creators: name: Baião, Vitorino Silva
name: Rodrigues, Alexandre
name: Alvarelhão, Joaquim
name: Ferré-Grau, Carmen
Publisher: name: Journal of Statistics on Health Decision
Year: 2022

description: .
description: Journal of Statistics on Health Decision, vol. 4 n.º 1 (2022): Special Issue - Statistics on Health Decision Making: Real World Data