cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10613041
title: EuroCoAT. The European Corpus of Academic Talk.

description: This corpus is the result is a three-year research project into the use of metaphor in office hours’ consultations involving Spanish undergraduate students. These students were spending a period of time on an ERASMUS grant at a university in another European country (Ireland, England, Sweden, and The Netherlands) where English is the medium of instruction. 

It aims to contribute to the knowledge about office hours’ consultations and the kind of conversations that lecturers have with students from other European universities, with whom they most often do not share the same mother tongue or the same cultural background – which includes, of course, their understanding of university life, the teaching and learning activities that take place there or the systems used to assess students’  academic progress and achievement. 

These recordings were made between April 2012 and February 2013 in the four countries mentioned above. We hope that the data made available through this website will prove of use to other researchers interested in metaphor, academic discourse, or intercultural communication more generally.
DOI: 10.25934/pr00012481
title: Epidemiologic Intelligence Network (EpI-Net) to Promote COVID-19 Testing and Prevention Practices Among Socially Vulnerable Communities in Puerto Rico

description: The investigators propose a mixed-methods intervention design to evaluate the acceptability of epidemic intelligence (EpI-Net) intervention using Community Engagement (CE) principles to promote COVID-19 testing and prevention practices in socially vulnerable communities in PR. The team hypothesizes that the integration of lay community leaders, trained in the use of COVID-19 prevention technology tools (EpI-Net), will result in increased COVID-19 testing uptake and prevention practices among the targeted socially and epidemiologically vulnerable communities in Puerto Rico.
DOI: 10.25934/pr00012488
title: Implementation of COVID-19 Testing Strategies in Community Health Centers

description: This project is part of a competitive revision to accelerate COVID-19 testing in underserved populations. The overall aim is to implement strategies to expand COVID testing in hotspot communities in MA, through 6 community health center (CHC)-community partnerships. A base strategy will be implemented at all sites. A tailored strategy unique to local populations will be added and tested in a stepped wedge design.
DOI: 10.25934/pr00012493
title: Longitudinal At Home Smell Testing to Detect Infection by SARS-CoV-2

description: The purpose of this study is to learn more about how to better track smell recovery in people who have been infected with the SARS-CoV-2 virus (which causes COVID-19). Many people who have been infected by this virus develop changes in their sense of smell (olfaction). We are interested in measuring smell function objectively via smell cards that test odor intensity, identification, and discrimination. Objective and precise olfactory testing that can be performed in the convenience of one's home will help identify people with smell loss after infection by SARS-CoV-2. We will use results from this test to better understand the relationship between SARS-CoV-2 infection and recovery of olfactory function and to learn whether the AROMHA longitudinal smell test is a reliable olfactory function tracking tool to quantify smell loss in the context of COVID infection. These results may inform the design of therapeutic clinical trials to accelerate the recovery of smell function.
DOI: 10.25934/pr00012495
title: RADx-UP- Impact of Community Health Worker Home Deployment on COVID-19 Vaccine Confidence and Uptake

description: The proposed project will implement and evaluate a brief Community Health Worker (CHW) intervention through the Albany Area Primary Health Care, a rural Federally Qualified Health Center (FQHC). The primary goal of this study is to maximize effective outreach, education, and communication through CHWs in order to facilitate improved COVID-19 vaccine confidence and uptake in underserved and vulnerable communities. CHWs will be deployed to the homes of adults with increased risk of morbidity and mortality (i.e., African Americans or Latinos with uncontrolled diabetes or prediabetes, age \<50 years, and non-COVID-19 vaccinated) in order to educate them about diabetes, COVID-19 and related vaccines. Health assessments, including blood glucose measurement, will be conducted on the indexed patient and offered to all other adult family members in the household (i.e., "bubble"). Adults with Type 2 diabetes likely live in households with other adults who have or are at increased risk for diabetes (i.e., prediabetes and obesity).1 It is expected that they will also share similar COVID-19 exposure risk. The specific aims are to: 1) Evaluate a community-driven education program to increase and enhance COVID-19 vaccine confidence and uptake in individuals with uncontrolled diabetes and their families (i.e., their "bubble") and 2) Evaluate a community-driven education program to improve diabetes self-management behaviors and related outcomes (e.g., blood glucose) in individuals with uncontrolled diabetes in rural, Southwest Georgia.
DOI: 10.25934/pr00012500
title: Supporting the Health and Well-being of Children With Intellectual and Developmental Disability During COVID-19 Pandemic

description: The primary goal of this project is to identify the best messaging and implementation strategies to maximize SARS-CoV-2 testing for children with intellectual and developmental disabilities (IDD) and their teachers to help ensure a safe school environment. Additionally, we will understand nationally the perceptions of COVID-19 and identify facilitators and barriers to help with the adoption of testing in other parts of the US and the necessary strategies to address other mitigation strategies including vaccination.
DOI: 10.15468/dl.942y9w
title: Occurrence Download

description: A dataset containing 974827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124.0181 49.24794,-124.33458 49.37423,-124.59946 49.4051,-124.63521 49.37748,-124.69696 49.29785,-124.69696 49.10123,-124.44671 49.01835,-124.30696 48.9631,-124.22489 49.01352,-124.05086 49.01352,-124.0181 49.24794))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 974827 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002989-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvw3k9
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex acutiloba"
 ]
}

 The dataset includes 56 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003030-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15132/10000241
title: Search results Student perceptions of handover diaries and reflective learning in an undergraduate MBChB anatomy course

description: Quantitative (Likert-type survey results) and Qualitative (student open comments) data sets supporting the results of a survey developed to assess student perceptions of a dissection diary and reflective learning.
DOI: 10.25934/pr00008743.2
title: Available datapackage for study 'A Phase 3b, Multicenter, Randomized, Blinded, Active-Controlled Study to Compare the Efficacy and Safety of Ustekinumab to That of Adalimumab in the Treatment of Biologic Naïve Subjects With Moderately-to-Severely Active Crohn's Disease'

description: The purpose of this study is to compare the efficacy of treatment with ustekinumab or adalimumab in biologic naive participants with moderately-to-severely active Crohn's disease (CD) who have previously failed or were intolerant to conventional therapy (corticosteroids and/or immunomodulators, such as azathioprine, 6-mercaptopurine, or methotrexate), as measured by clinical remission at one year.
DOI: 10.6084/m9.figshare.31297965
title: Adaptive Partition Factor Analysis

description: Factor Analysis has traditionally been utilized across diverse disciplines to extrapolate latent traits that influence the behavior of multivariate observed variables. Historically, the focus has been on analyzing data from a single study, neglecting the potential study-specific variations present in data from multiple studies. Multi-study factor analysis has emerged as a recent methodological advancement that addresses this gap by distinguishing between latent traits shared across studies and study-specific components arising from artifactual or population-specific sources of variation. In this paper, we extend the current Bayesian methodologies by introducing novel shrinkage priors for the latent factors, thereby accommodating a broader spectrum of scenarios—from the absence of study-specific latent factors to models in which factors pertain only to small subgroups nested within or shared between the studies. For the proposed construction we provide conditions for identifiability of factor loadings and guidelines to perform straightforward posterior computation via Gibbs sampling. Through comprehensive simulation studies, we demonstrate that our proposed method exhibits competing performance across a variety of scenarios compared to existing methods, yet providing richer insights. The practical benefits of our approach are further illustrated through applications to bird species co-occurrence data and ovarian cancer gene expression data.
DOI: 10.6084/m9.figshare.31297965.v1
title: Adaptive Partition Factor Analysis

description: Factor Analysis has traditionally been utilized across diverse disciplines to extrapolate latent traits that influence the behavior of multivariate observed variables. Historically, the focus has been on analyzing data from a single study, neglecting the potential study-specific variations present in data from multiple studies. Multi-study factor analysis has emerged as a recent methodological advancement that addresses this gap by distinguishing between latent traits shared across studies and study-specific components arising from artifactual or population-specific sources of variation. In this paper, we extend the current Bayesian methodologies by introducing novel shrinkage priors for the latent factors, thereby accommodating a broader spectrum of scenarios—from the absence of study-specific latent factors to models in which factors pertain only to small subgroups nested within or shared between the studies. For the proposed construction we provide conditions for identifiability of factor loadings and guidelines to perform straightforward posterior computation via Gibbs sampling. Through comprehensive simulation studies, we demonstrate that our proposed method exhibits competing performance across a variety of scenarios compared to existing methods, yet providing richer insights. The practical benefits of our approach are further illustrated through applications to bird species co-occurrence data and ovarian cancer gene expression data.
DOI: 10.6084/m9.figshare.31297968
title: Statistical Inference for Mediation Models with High Dimensional Exposures and Mediators

description: High-dimensional mediation analysis has gained increasing interest in various fields, particularly in genetic and medical research. Compared with existing works that focus mainly on high-dimensional mediators, this paper advocates a new framework of Partial Regularization-based Inference for Mediation Effects (PRIME) when both exposures and mediators are high-dimensional. Estimated direct and indirect effects are established using a group-wise partially penalized least squares method, incorporating a double-layer latent factor structure. F-type and Wald tests for the high-dimensional direct and indirect effects, respectively, are advocated based on the proposed estimators. Both theoretical and numerical performance of PRIME have been carefully studied. PRIME is also applied to investigating direct effects of genetic variants on Alzheimer’s disease (AD) and indirect effects of them mediated by changes in brain activity intensity.
DOI: 10.6084/m9.figshare.31297968.v1
title: Statistical Inference for Mediation Models with High Dimensional Exposures and Mediators

description: High-dimensional mediation analysis has gained increasing interest in various fields, particularly in genetic and medical research. Compared with existing works that focus mainly on high-dimensional mediators, this paper advocates a new framework of Partial Regularization-based Inference for Mediation Effects (PRIME) when both exposures and mediators are high-dimensional. Estimated direct and indirect effects are established using a group-wise partially penalized least squares method, incorporating a double-layer latent factor structure. F-type and Wald tests for the high-dimensional direct and indirect effects, respectively, are advocated based on the proposed estimators. Both theoretical and numerical performance of PRIME have been carefully studied. PRIME is also applied to investigating direct effects of genetic variants on Alzheimer’s disease (AD) and indirect effects of them mediated by changes in brain activity intensity.
DOI: 10.6084/m9.figshare.31297971
title: In-hospital outcomes following fusion for spinal deformity in children with spinal cord injury: Analysis using the National Inpatient Sample

description: To evaluate hospital outcomes of surgical corrections of spinal deformity in children with spinal cord injury (SCI). : Cross-sectional study. National Inpatient Sample (1998-2021) was used to identify in-hospital outcomes of spinal fusion for spinal deformity. : 768 children (0-17) with SCI. : Not applicable. Critical care intervention (CCI) complications, hospital length of stay, charges, and discharge disposition. Individual and hospital characteristics were noted. Average age 14 (SD = 6), 48% females, 65% non-Hispanic White. Most cases were incomplete-SCI (38% thoracic, 31% cervical). Most surgeries occurred in large (66%) and urban teaching (93%) hospitals. A quarter received CCI and 43% developed complications. Median length of stay was 8 days (interquartile range: 5-14) and median charges were $230,136 (interquartile range: $150,131-$356,481). Mortality was low (&lt;2%) and 41% were discharged to home healthcare or a medical facility. Having three or more comorbidities was associated with worse outcomes. Children on Medicaid were more likely to receive CCI. Older age, comorbidities, income, injury completeness, and bone fracture increased the likelihood of discharge to more care. Spinal fusion for spinal deformity in children with SCI results in significant morbidity, prolonged hospital stays, substantial charges, and frequent post-discharge care. These findings underscore the significant healthcare burden and morbidity associated with spinal fusion for spinal deformity in children with SCI, emphasizing the need for optimized perioperative management and long-term follow-up. Future research should evaluate longitudinal outcomes. Altogether, it would guide restorative programs aiming to prevent or slow deformity progression.
DOI: 10.6084/m9.figshare.31297971.v1
title: In-hospital outcomes following fusion for spinal deformity in children with spinal cord injury: Analysis using the National Inpatient Sample

description: To evaluate hospital outcomes of surgical corrections of spinal deformity in children with spinal cord injury (SCI). : Cross-sectional study. National Inpatient Sample (1998-2021) was used to identify in-hospital outcomes of spinal fusion for spinal deformity. : 768 children (0-17) with SCI. : Not applicable. Critical care intervention (CCI) complications, hospital length of stay, charges, and discharge disposition. Individual and hospital characteristics were noted. Average age 14 (SD = 6), 48% females, 65% non-Hispanic White. Most cases were incomplete-SCI (38% thoracic, 31% cervical). Most surgeries occurred in large (66%) and urban teaching (93%) hospitals. A quarter received CCI and 43% developed complications. Median length of stay was 8 days (interquartile range: 5-14) and median charges were $230,136 (interquartile range: $150,131-$356,481). Mortality was low (&lt;2%) and 41% were discharged to home healthcare or a medical facility. Having three or more comorbidities was associated with worse outcomes. Children on Medicaid were more likely to receive CCI. Older age, comorbidities, income, injury completeness, and bone fracture increased the likelihood of discharge to more care. Spinal fusion for spinal deformity in children with SCI results in significant morbidity, prolonged hospital stays, substantial charges, and frequent post-discharge care. These findings underscore the significant healthcare burden and morbidity associated with spinal fusion for spinal deformity in children with SCI, emphasizing the need for optimized perioperative management and long-term follow-up. Future research should evaluate longitudinal outcomes. Altogether, it would guide restorative programs aiming to prevent or slow deformity progression.
DOI: 10.6084/m9.figshare.28589342
title: Nano-Starches: Evaluation of Technology Diffusion Through Patent Analysis and Modeling

description: Nano-starches are non-toxic materials with unique properties, such as high biocompatibility and improved diffusion capacity. This study aimed to assess the technological innovation of nano-starches through patent mapping, evaluating general information, trends, and the stage of the technology diffusion life cycle. The Espacenet® database was used for the analysis, and the search was conducted by combining the keywords “Nano” and “Starch” with the codes A23, B82, C08B30, C08B31, C08B33, C08B35, C08J2403, and C08L3. A total of 248 patents were analyzed. China emerged as the top applicant country. Corn and potato were the most mapped conventional starch sources, while sweet potato and mung bean were the main non-conventional sources. The prominent technological sectors were food, medicine, polymers, and cosmetics, with primary applications in compound delivery systems and filler materials. By fitting the data to the DoseResp model and analyzing the S-curve of the technology diffusion life cycle, we found that the nano-starch field is in the early maturity stage, indicating ongoing research and technological development. Increased investments in the nanomaterial and starch markets are expected in the coming years, with an apparent trend toward using non-thermal technologies in nano-starch production and a growing interest in chemical modification approaches for nanostructures.
DOI: 10.6084/m9.figshare.28589342.v1
title: Nano-Starches: Evaluation of Technology Diffusion Through Patent Analysis and Modeling

description: Nano-starches are non-toxic materials with unique properties, such as high biocompatibility and improved diffusion capacity. This study aimed to assess the technological innovation of nano-starches through patent mapping, evaluating general information, trends, and the stage of the technology diffusion life cycle. The Espacenet® database was used for the analysis, and the search was conducted by combining the keywords “Nano” and “Starch” with the codes A23, B82, C08B30, C08B31, C08B33, C08B35, C08J2403, and C08L3. A total of 248 patents were analyzed. China emerged as the top applicant country. Corn and potato were the most mapped conventional starch sources, while sweet potato and mung bean were the main non-conventional sources. The prominent technological sectors were food, medicine, polymers, and cosmetics, with primary applications in compound delivery systems and filler materials. By fitting the data to the DoseResp model and analyzing the S-curve of the technology diffusion life cycle, we found that the nano-starch field is in the early maturity stage, indicating ongoing research and technological development. Increased investments in the nanomaterial and starch markets are expected in the coming years, with an apparent trend toward using non-thermal technologies in nano-starch production and a growing interest in chemical modification approaches for nanostructures.
DOI: 10.48331/scielodata.vxuayt/bvlams
title: DatosArt - Verificación y Validación de fuentes de información (respuestas).xlsx
DOI: 10.48331/scielodata.vxuayt/qsgg75
title: README (294421) Verificación de evidencias y fuentes de información de trabajos académicos elaborados con Inteligencia Artificial Generativa.docx

description: Arquivo README em word, com informações dos pesquisadores e condução da construção dos dados.
DOI: 10.15468/dl.tfd8zj
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex acutiloba"
 ]
}

 The dataset includes 56 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003033-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48331/scielodata.vxuayt
title: Replication Data for: Verificación de evidencias y fuentes de información de trabajos académicos elaborados con Inteligencia Artificial Generativa

description: El objetivo general de esta investigación es evaluar los resultados del uso de una herramienta para la verificación de fuentes de información en el aprendizaje de esta habilidad y la reflexión sobre el uso de la IAGen para la elaboración de trabajos académicos de estudiantes universitarios. Como objetivos específicos se plantean: 1) Instrumentar una herramienta para la verificación de fuentes de información generada por la IAGen; 2) Comparar la habilidad para verificar fuentes de información de trabajos académicos generados con apoyo de IAGen entre estudiantes que emplearon la herramienta y quienes no y 3) Analizar las percepciones de los participantes acerca de la utilidad de la herramienta para su aprendizaje, desarrollo de habilidades de pensamiento crítico, así como los aspectos éticos que conlleva.
description: Cada columna representa el proceso de verificación de información empleando diferentes herramietas de Inteligencia Artificial y su contrastación con respecto a un modelo de Creencias Epistemológicas (Hofer y Pintrich, 1997).
DOI: 10.15468/dl.7ragjc
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spongites hyperellus"
 ]
}

 The dataset includes 57 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003034-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bz4se
title: Occurrence Download

description: A dataset containing 14242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tilia europaea"
 ]
}

 The dataset includes 14242 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003035-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.