cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4059887
title: Data set from Flocco SF, Dellafiore F, Caruso R, Giamberti A, Micheletti A, Negura DG, Piazza L, Carminati M, Chessa M. Improving health perception through a transition care model for adolescents with congenital heart disease. J Cardiovasc Med (Hagerstown). 2019 Apr;20(4):253-260. doi: 10.2459/JCM.0000000000000770. PMID: 30676496.

description: Data set from Flocco SF, Dellafiore F, Caruso R, Giamberti A, Micheletti A, Negura DG, Piazza L, Carminati M, Chessa M. Improving health perception through a transition care model for adolescents with congenital heart disease. J Cardiovasc Med (Hagerstown). 2019 Apr;20(4):253-260. doi: 10.2459/JCM.0000000000000770. PMID: 30676496. this is the abstract: <strong>Aims: </strong>The aim of this study was to assess the impact of a transition clinic model on adolescent congenital heart disease (CHD) patients' health perception outcomes. The transition clinic model consists of multidisciplinary standardized interventions to educate and support CHD patients and represents a key element in the adequate delivery of care to these individuals during their transition from childhood to adulthood. Currently, empirical data regarding the impact of transition clinic models on the improvement of health perceptions in CHD adolescent patients are lacking. <strong>Methods: </strong>A quasi-experimental design was employed. Quality of life, satisfaction, health perceptions and knowledge were assessed at the time of enrolment (T0) and a year after enrolment (T1), respectively. During the follow-up period, the patients enrolled (aged 11-18 years) were involved in the CHD-specific transition clinic model (CHD-TC). <strong>Results: </strong>A sample of 224 CHD adolescents was enrolled (60.7% boys; mean age: 14.84 ± 1.78 years). According to Warnes' classification, 22% of patients had simple heart defect, 56% showed moderate complexity and 22% demonstrated severe complexity. The overall results suggested a good impact of the CHD-TC on adolescents' outcomes, detailing in T1 the occurrence of a reduction of pain (P &lt; 0.001) and anxiety (P &lt; 0.001) and an improvement of knowledge (P &lt; 0.001), life satisfaction (P &lt; 0.001), perception of health status (P &lt; 0.001) and quality of life (P &lt; 0.001). <strong>Conclusion: </strong>The CHD-TC seems to provide high-quality care to the patient by way of a multidisciplinary team. The results of the present study are encouraging and confirm the need to create multidisciplinary standardized interventions in order to educate and support the delivery of care for CHD adolescents and their families.
DOI: 10.5281/zenodo.4059886
title: Data set from Flocco SF, Dellafiore F, Caruso R, Giamberti A, Micheletti A, Negura DG, Piazza L, Carminati M, Chessa M. Improving health perception through a transition care model for adolescents with congenital heart disease. J Cardiovasc Med (Hagerstown). 2019 Apr;20(4):253-260. doi: 10.2459/JCM.0000000000000770. PMID: 30676496.

description: Data set from Flocco SF, Dellafiore F, Caruso R, Giamberti A, Micheletti A, Negura DG, Piazza L, Carminati M, Chessa M. Improving health perception through a transition care model for adolescents with congenital heart disease. J Cardiovasc Med (Hagerstown). 2019 Apr;20(4):253-260. doi: 10.2459/JCM.0000000000000770. PMID: 30676496. this is the abstract: <strong>Aims: </strong>The aim of this study was to assess the impact of a transition clinic model on adolescent congenital heart disease (CHD) patients' health perception outcomes. The transition clinic model consists of multidisciplinary standardized interventions to educate and support CHD patients and represents a key element in the adequate delivery of care to these individuals during their transition from childhood to adulthood. Currently, empirical data regarding the impact of transition clinic models on the improvement of health perceptions in CHD adolescent patients are lacking. <strong>Methods: </strong>A quasi-experimental design was employed. Quality of life, satisfaction, health perceptions and knowledge were assessed at the time of enrolment (T0) and a year after enrolment (T1), respectively. During the follow-up period, the patients enrolled (aged 11-18 years) were involved in the CHD-specific transition clinic model (CHD-TC). <strong>Results: </strong>A sample of 224 CHD adolescents was enrolled (60.7% boys; mean age: 14.84 ± 1.78 years). According to Warnes' classification, 22% of patients had simple heart defect, 56% showed moderate complexity and 22% demonstrated severe complexity. The overall results suggested a good impact of the CHD-TC on adolescents' outcomes, detailing in T1 the occurrence of a reduction of pain (P &lt; 0.001) and anxiety (P &lt; 0.001) and an improvement of knowledge (P &lt; 0.001), life satisfaction (P &lt; 0.001), perception of health status (P &lt; 0.001) and quality of life (P &lt; 0.001). <strong>Conclusion: </strong>The CHD-TC seems to provide high-quality care to the patient by way of a multidisciplinary team. The results of the present study are encouraging and confirm the need to create multidisciplinary standardized interventions in order to educate and support the delivery of care for CHD adolescents and their families.
DOI: 10.6084/m9.figshare.13027979.v1
title: Raw data for: Humeral diaphysis structure across mammals

description: File S1. Archive with raw data acquisition for both extant and extinct species, as well as timetree used for phylogenetically informed tests.<br><br>Table S1. Data table comprising the raw data file names for each extant species (LabelHum), species name, lifestyle, body mass (BM), catalogue number (CNum), mean total cross-sectional area (MeanTotArea), p-value associated to the slope of the Cg profile regression (slopeP), as well as its slope and R2. <br>
DOI: 10.1184/r1/12841247
title: Insider Threat Test Dataset

description: The Insider Threat Test Dataset is a collection of synthetic insider threat test datasets that provide both background and malicious actor synthetic data.<br><br>The CERT Division, in partnership with ExactData, LLC, and under sponsorship from DARPA I2O, generated a collection of synthetic insider threat test datasets. These datasets provide both synthetic background data and data from synthetic malicious actors.For more background on this data, please see the paper, Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data.Datasets are organized according to the data generator release that created them. Most releases include multiple datasets (e.g., r3.1 and r3.2). Generally, later releases include a superset of the data generation functionality of earlier releases. Each dataset file contains a readme file that provides detailed notes about the features of that release.The answer key file answers.tar.bz2 contains the details of the malicious activity included in each dataset, including descriptions of the scenarios enacted and the identifiers of the synthetic users involved.
DOI: 10.6084/m9.figshare.13028069
title: Raw reads statistic and plot

description: the statistic and plot of raw reads
DOI: 10.6084/m9.figshare.13028084
title: Pilot Experiment Solo Survey in King City

description: The rep column is the number plots that I examined throughout my experiment. I survey fifty 0.5mx0.5m plots in a 50-meter path. <br>The date is when I collected my pilot experiment data for the solo survey, which was on September 28<sup>th</sup>, 2020. <br>The researcher who conducted this experiment was me, James Zabbal. <br>The location where I conducted this experiment was in a path/forest area that is located behind my house in King City, Ontario. It has a variety of different plant species there and is located beside a pond. <br>The species richness column is how many different plant species were located in each quadrant I had examined. The most common species growing in the location were Goldenrods, New England Asters, and White Heath Asters. <br>The total cover column was a rough estimate (by percentage) of how much of each quadrant was covered by plants. <br>I collected the data for my experiment by picking a start point on the path and using a measure tape, I measured 0.5mx0.5m quadrants for each meter I stepped forward. I took notes of the different plant species I saw in each quadrant, and then roughly estimated how much of the quadrant space the plants took up (plants vs open land/grass).
DOI: 10.6084/m9.figshare.13028084.v1
title: Pilot Experiment Solo Survey in King City

description: The rep column is the number plots that I examined throughout my experiment. I survey fifty 0.5mx0.5m plots in a 50-meter path. <br>The date is when I collected my pilot experiment data for the solo survey, which was on September 28<sup>th</sup>, 2020. <br>The researcher who conducted this experiment was me, James Zabbal. <br>The location where I conducted this experiment was in a path/forest area that is located behind my house in King City, Ontario. It has a variety of different plant species there and is located beside a pond. <br>The species richness column is how many different plant species were located in each quadrant I had examined. The most common species growing in the location were Goldenrods, New England Asters, and White Heath Asters. <br>The total cover column was a rough estimate (by percentage) of how much of each quadrant was covered by plants. <br>I collected the data for my experiment by picking a start point on the path and using a measure tape, I measured 0.5mx0.5m quadrants for each meter I stepped forward. I took notes of the different plant species I saw in each quadrant, and then roughly estimated how much of the quadrant space the plants took up (plants vs open land/grass).
DOI: 10.5281/zenodo.4059927
title: Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297.

description: Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297. This is the abstract: Interprofessional team collaboration (ITC) is pivotal for the safety and the quality of healthcare settings, being associated with higher staff and patient satisfaction. However, individual-level determinants (i.e. socio-demographic and working satisfaction) remain currently largely unexplored. This study aimed to describe the overall ITC (i.e. partnership, cooperation, coordination), identifying the individual-level determinants of each ITC domain. This study had a multicentre approach, using cross-sectional data collection. ITC was assessed using the Interprofessional Team Collaboration Scale II, Italian version (I-AITCS II). The determinants of ITC were investigated through multivariable linear regression models. The study results showed significant associations between the same ITC domains, as well as the important role of work satisfaction in determining cooperation and coordination. Physicians reported more inadequate partnership levels than other healthcare professionals. This study provides insights for future research and gives a useful description of the determinants of ITC for multi-stakeholder healthcare organizations.
DOI: 10.5281/zenodo.4059926
title: Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297.

description: Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297. This is the abstract: Interprofessional team collaboration (ITC) is pivotal for the safety and the quality of healthcare settings, being associated with higher staff and patient satisfaction. However, individual-level determinants (i.e. socio-demographic and working satisfaction) remain currently largely unexplored. This study aimed to describe the overall ITC (i.e. partnership, cooperation, coordination), identifying the individual-level determinants of each ITC domain. This study had a multicentre approach, using cross-sectional data collection. ITC was assessed using the Interprofessional Team Collaboration Scale II, Italian version (I-AITCS II). The determinants of ITC were investigated through multivariable linear regression models. The study results showed significant associations between the same ITC domains, as well as the important role of work satisfaction in determining cooperation and coordination. Physicians reported more inadequate partnership levels than other healthcare professionals. This study provides insights for future research and gives a useful description of the determinants of ITC for multi-stakeholder healthcare organizations.
DOI: 10.5281/zenodo.4059907
title: Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908.

description: Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908 This is the abstract: <strong>Background: </strong>Pressure ulcers (PUs) represent a current issue for healthcare delivery. Nurse self-efficacy in managing PUs could predict patients' outcome, being a proxy assessment of their overall competency to managing PUs. However, a valid and reliable scale of this task-specific self-efficacy has not yet been developed. <strong>Objectives: </strong>To develop a valid and reliable scale to assess nurses' self-efficacy in managing PUs, that is, the pressure ulcer management self-efficacy scale for nurses (PUM-SES). <strong>Methods: </strong>This study had a multi-method and multi-phase design, where study reporting was supported by the STROBE checklist (File S1). Phase 1 referred to the scale development, consisting in the items' generation, mainly based on themes emerged from the literature and discussed within a panel of experts. Phase 2 focused on a three-step validation process: the first step aimed to assess face and content validity of the pool of items previously generated (initial version of the PUM-SES); the second aimed to assess psychometrics properties through exploratory factorial analysis; the third step assessed construct validity through confirmative factorial analysis, while concurrent validity was evaluated describing the relationships between PUM-SES and an established general self-efficacy measurement. Reliability was assessed through the evaluation of stability and internal consistency. <strong>Results: </strong>PUM-SES showed evidence of face and content validity, adequate construct and concurrent validity, internal consistency and stability. Specifically, PUM-SES had four domains, labelled as follows: assessment, planning, supervision and decision-making. These domains were predicted by the same second-order factor, labelled as PU management self-efficacy. <strong>Conclusion: </strong>PUM-SES is a 10-item scale to measure nurses' self-efficacy in PU management. A standardised 0-100 scoring is suggested for computing each domain and the overall scale. PUM-SES might be used in clinical and educational research. <strong>Relevance to clinical practice: </strong>Optimising nurses' self-efficacy in PU management might enhance clinical assessment, determining better outcomes in patients with PUs.
DOI: 10.5281/zenodo.4059906
title: Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908.

description: Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908 This is the abstract: <strong>Background: </strong>Pressure ulcers (PUs) represent a current issue for healthcare delivery. Nurse self-efficacy in managing PUs could predict patients' outcome, being a proxy assessment of their overall competency to managing PUs. However, a valid and reliable scale of this task-specific self-efficacy has not yet been developed. <strong>Objectives: </strong>To develop a valid and reliable scale to assess nurses' self-efficacy in managing PUs, that is, the pressure ulcer management self-efficacy scale for nurses (PUM-SES). <strong>Methods: </strong>This study had a multi-method and multi-phase design, where study reporting was supported by the STROBE checklist (File S1). Phase 1 referred to the scale development, consisting in the items' generation, mainly based on themes emerged from the literature and discussed within a panel of experts. Phase 2 focused on a three-step validation process: the first step aimed to assess face and content validity of the pool of items previously generated (initial version of the PUM-SES); the second aimed to assess psychometrics properties through exploratory factorial analysis; the third step assessed construct validity through confirmative factorial analysis, while concurrent validity was evaluated describing the relationships between PUM-SES and an established general self-efficacy measurement. Reliability was assessed through the evaluation of stability and internal consistency. <strong>Results: </strong>PUM-SES showed evidence of face and content validity, adequate construct and concurrent validity, internal consistency and stability. Specifically, PUM-SES had four domains, labelled as follows: assessment, planning, supervision and decision-making. These domains were predicted by the same second-order factor, labelled as PU management self-efficacy. <strong>Conclusion: </strong>PUM-SES is a 10-item scale to measure nurses' self-efficacy in PU management. A standardised 0-100 scoring is suggested for computing each domain and the overall scale. PUM-SES might be used in clinical and educational research. <strong>Relevance to clinical practice: </strong>Optimising nurses' self-efficacy in PU management might enhance clinical assessment, determining better outcomes in patients with PUs.
DOI: 10.5281/zenodo.4059943
title: Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581.

description: Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581. This is the abstract: <strong>Background: </strong>A geometrical understanding of the individual patient's disease morphology is crucial in aortic surgery. The aim of our study was to validate a questionnaire addressing understanding of aortic disease and use this questionnaire to investigate the value of 3D printing as a teaching tool for surgical trainees. <strong>Methods: </strong>Anonymized CT-angiography images of six different patients were selected as didactic cases of aortic disease and made into 3D models of transparent rigid resin with the Vat-photopolymerization technique. The 3D aortic models, which could be disassembled and reassembled, were displayed to 37 surgical trainees, immediately after a seminar on aortic disease. A questionnaire was developed to compare the trainees' understanding before (T0) and after (T1) demonstration of the 3D printed models. <strong>Results: </strong>A panel of 15 experts participated in evaluating face and content validity of the questionnaire. The questionnaire validity was established and therefore the information investigated by the questionnaire could be synthetized using the mean of the items to indicate the understanding. The participants (mean age 28 years, range 26-34, male 59%) showed a significant improvement in understanding from T0 (median=7.25; IQR=1.50) to T1 (median=8.00; IQR=1.50; P=0.002). <strong>Conclusions: </strong>Preliminary data suggest that the use of 3D-printed aortic models as a teaching tool was feasible and improved the understanding of aortic disease among surgical trainees.
DOI: 10.5281/zenodo.4059944
title: Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581.

description: Data set from Spinelli D, Marconi S, Caruso R, Conti M, Benedetto F, De Beaufort HW, Auricchio F, Trimarchi S. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino). 2019 Oct;60(5):582-588. doi: 10.23736/S0021-9509.19.10841-5. Epub 2019 Jun 26. PMID: 31256581. This is the abstract: <strong>Background: </strong>A geometrical understanding of the individual patient's disease morphology is crucial in aortic surgery. The aim of our study was to validate a questionnaire addressing understanding of aortic disease and use this questionnaire to investigate the value of 3D printing as a teaching tool for surgical trainees. <strong>Methods: </strong>Anonymized CT-angiography images of six different patients were selected as didactic cases of aortic disease and made into 3D models of transparent rigid resin with the Vat-photopolymerization technique. The 3D aortic models, which could be disassembled and reassembled, were displayed to 37 surgical trainees, immediately after a seminar on aortic disease. A questionnaire was developed to compare the trainees' understanding before (T0) and after (T1) demonstration of the 3D printed models. <strong>Results: </strong>A panel of 15 experts participated in evaluating face and content validity of the questionnaire. The questionnaire validity was established and therefore the information investigated by the questionnaire could be synthetized using the mean of the items to indicate the understanding. The participants (mean age 28 years, range 26-34, male 59%) showed a significant improvement in understanding from T0 (median=7.25; IQR=1.50) to T1 (median=8.00; IQR=1.50; P=0.002). <strong>Conclusions: </strong>Preliminary data suggest that the use of 3D-printed aortic models as a teaching tool was feasible and improved the understanding of aortic disease among surgical trainees.
DOI: 10.17632/b5jrfj2ncm.1
title: Data for: Safety and efficacy of polyetheretherketone (PEEK) cages in combination with one-stage posterior debridement and instrumentation in Lumbar Brucella Spondylitis

description: The aim of this study was to explore the efficacy and safety of surgical treatment of lumbar brucella spondylitis with PEEK cages combined with one-stage posterior debridement and instrumentation.