cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22578454.v1
title: Stem cell-derived exosomes from human exfoliated deciduous teeth promote angiogenesis in hyperglycemic-induced human umbilical vein endothelial cells

description: Abstract Objective To investigate the angiogenesis in human umbilical vein endothelial cells (HUVEC) under high glucose concentration, treated with exosomes derived from stem cells from human exfoliated deciduous teeth (SHED). Methodology SHED-derived exosomes were isolated by differential centrifugation and were characterized by nanoparticle tracking analysis, transmission electron microscopy, and flow cytometric assays. We conducted in vitro experiments to examine the angiogenesis in HUVEC under high glucose concentration. Cell Counting Kit-8, migration assay, tube formation assay, quantitative real-time PCR, and immunostaining were performed to study the role of SHED-derived exosomes in cell proliferation, migration, and angiogenic activities. Results The characterization confirmed SHED-derived exosomes: size ranged from 60–150 nm with a mode of 134 nm, cup-shaped morphology, and stained positively for CD9, CD63, and CD81. SHED-exosome significantly enhanced the proliferation and migration of high glucose-treated HUVEC. A significant reduction was observed in tube formation and a weak CD31 staining compared to the untreated-hyperglycemic-induced group. Interestingly, exosome treatment improved tube formation qualitatively and demonstrated a significant increase in tube formation in the covered area, total branching points, total tube length, and total loop parameters. Moreover, SHED-exosome upregulates angiogenesis-related factors, including the GATA2 gene and CD31 protein. Conclusions Our data suggest that the use of SHED-derived exosomes potentially increases angiogenesis in HUVEC under hyperglycemic conditions, which includes increased cell proliferation, migration, tubular structures formation, GATA2 gene, and CD31 protein expression. SHED-exosome usage may provide a new treatment strategy for periodontal patients with diabetes mellitus.
DOI: 10.11583/dtu.12033735.v2
title: Supplementary data for "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"

description: Supplementary data for: N.F. Jensen,<sup> </sup>T.R. Odgaard, S.P. Bjarløv, B. Andersen, C. Rode, E.B. Møller, 2020, "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"<br><br>The datasets comprises: 1) Python script in Jupyter notebook for automated Delphin model calibration. The purpose of the script is to calibrate Delphin simultion models against measurement data where the script auto generates hygrothermal models with varying settings, which are then simulated and evaulated to determine the settings leading to the best simuation model.(found via the reference to Github or through the word document in the supplementary files)2) Comparison of calibration results against measurement data3) Additional plots for model parameter variations4) Excel files with simulation results and VTT mould-growth modelling results5) 1D and 2D Delphin calibrated simulation models
DOI: 10.11583/dtu.12033735
title: Supplementary data for "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"

description: Supplementary data for: N.F. Jensen,<sup> </sup>T.R. Odgaard, S.P. Bjarløv, B. Andersen, C. Rode, E.B. Møller, 2020, "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"<br>The datasets comprises: 1) Python script in Jupyter notebook for automated Delphin model calibration. The purpose of the script is to calibrate Delphin simultion models against measurement data where the script auto generates hygrothermal models with varying settings, which are then simulated and evaulated to determine the settings leading to the best simuation model.(found via the reference to Github or through the word document in the supplementary files)2) Comparison of calibration results against measurement data3) Additional plots for model parameter variations4) Excel files with simulation results and VTT mould-growth modelling results5) 1D and 2D Delphin calibrated simulation models
DOI: 10.11583/dtu.12033735.v3
title: Supplementary data for "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"

description: Supplementary data for: N.F. Jensen,<sup> </sup>T.R. Odgaard, S.P. Bjarløv, B. Andersen, C. Rode, E.B. Møller, 2020, "Hygrothermal assessment of four insulation systems for interior retrofitting of solid masonry walls through calibrated numerical simulations"<br>The datasets comprises: 1) Python script in Jupyter notebook for automated Delphin model calibration. The purpose of the script is to calibrate Delphin simultion models against measurement data where the script auto generates hygrothermal models with varying settings, which are then simulated and evaulated to determine the settings leading to the best simuation model.(found via the reference to Github or through the word document in the supplementary files)2) Comparison of calibration results against measurement data3) Additional plots for model parameter variations4) Excel files with simulation results and VTT mould-growth modelling results5) 1D and 2D Delphin calibrated simulation models
DOI: 10.6084/m9.figshare.22730307
title: Health inequalities in Brazil: proposed prioritization to achieve the Sustainable Development Goals

description: This study aimed to develop a prioritization index to speed up the achievement of national health targets proposed in the 2030 Agenda. This is an ecological study that addressed the Health Regions in Brazil. The index incorporated 25 indicators with analytical proximity to the official indicators of the 2030 Agenda whose data are available from public municipal sources for the period of 2015-2019. According to our study, the index was a powerful method to support health management decisions. The results showed the most vulnerable territories are located in the North Region of the country, and therefore, these are priority areas for resource allocation. The analysis of subindices highlighted local health bottlenecks, reinforcing the need for municipalities in each region to set their own priorities while making decisions for health resource allocation. By indicating Health Regions and priority themes for more investments, this investigation shows paths to support the implementation of the 2030 Agenda, from the local to the national level, in addition to providing elements that can be used by policy makers to minimize the effects of social inequalities on health, prioritizing territories with worse indices.
DOI: 10.6084/m9.figshare.22730307.v1
title: Health inequalities in Brazil: proposed prioritization to achieve the Sustainable Development Goals

description: This study aimed to develop a prioritization index to speed up the achievement of national health targets proposed in the 2030 Agenda. This is an ecological study that addressed the Health Regions in Brazil. The index incorporated 25 indicators with analytical proximity to the official indicators of the 2030 Agenda whose data are available from public municipal sources for the period of 2015-2019. According to our study, the index was a powerful method to support health management decisions. The results showed the most vulnerable territories are located in the North Region of the country, and therefore, these are priority areas for resource allocation. The analysis of subindices highlighted local health bottlenecks, reinforcing the need for municipalities in each region to set their own priorities while making decisions for health resource allocation. By indicating Health Regions and priority themes for more investments, this investigation shows paths to support the implementation of the 2030 Agenda, from the local to the national level, in addition to providing elements that can be used by policy makers to minimize the effects of social inequalities on health, prioritizing territories with worse indices.
DOI: 10.6084/m9.figshare.23659381
title: Online medical education during the pandemic in different countries

description: Abstract: Introduction: At the end of 2019, one of the great challenges of the 21st century emerged, affecting the whole world. The long period in isolation made people adapt to the way they work and study, and this same measure was taken in the medical course, bringing new methodologies and learning. Objective: To analyze, through an Integrative Review, data on how the process of adapting online medical education was carried out during the pandemic. Methods: This is an Integrative Literature Review and data search was conducted in the PubMed, Virtual Health Library (BVS), Coordination for the Improvement of Higher Education Personnel (CAPES), Scientific Electronic Library Online (SCIELO) and Latin American and Caribbean Literature on Health Sciences (LILACS) databases. The search began in July 2021. Results: Initially, with the application of the inclusion criteria, a total of 841 articles were obtained from the selected databases. After excluding duplicate articles, this number was reduced to 242 articles. After applying the exclusion criteria, 22 articles were selected for the study. Conclusion: It is known that Medicine is mostly a practical course, the physical contact of students with patients is essential to develop essential skills for a quality physician, both in medical semiology techniques and in the skills necessary to establish the doctor-patient relationship. However, the need for a way of learning arose with the pandemic and teaching could not stop. In view of the points raised in the literature research, the common sense would be the application of a hybrid teaching method - online and face-to-face - (aimed at optimizing time and breaking geographic barriers, without neglecting the importance of clinical practice), exceptionally online (when there are extraordinary situations, such as the COVID-19 pandemic) or only in person (in regions where the application of e-learning is not feasible).
DOI: 10.6084/m9.figshare.23659381.v1
title: Online medical education during the pandemic in different countries

description: Abstract: Introduction: At the end of 2019, one of the great challenges of the 21st century emerged, affecting the whole world. The long period in isolation made people adapt to the way they work and study, and this same measure was taken in the medical course, bringing new methodologies and learning. Objective: To analyze, through an Integrative Review, data on how the process of adapting online medical education was carried out during the pandemic. Methods: This is an Integrative Literature Review and data search was conducted in the PubMed, Virtual Health Library (BVS), Coordination for the Improvement of Higher Education Personnel (CAPES), Scientific Electronic Library Online (SCIELO) and Latin American and Caribbean Literature on Health Sciences (LILACS) databases. The search began in July 2021. Results: Initially, with the application of the inclusion criteria, a total of 841 articles were obtained from the selected databases. After excluding duplicate articles, this number was reduced to 242 articles. After applying the exclusion criteria, 22 articles were selected for the study. Conclusion: It is known that Medicine is mostly a practical course, the physical contact of students with patients is essential to develop essential skills for a quality physician, both in medical semiology techniques and in the skills necessary to establish the doctor-patient relationship. However, the need for a way of learning arose with the pandemic and teaching could not stop. In view of the points raised in the literature research, the common sense would be the application of a hybrid teaching method - online and face-to-face - (aimed at optimizing time and breaking geographic barriers, without neglecting the importance of clinical practice), exceptionally online (when there are extraordinary situations, such as the COVID-19 pandemic) or only in person (in regions where the application of e-learning is not feasible).
DOI: 10.6084/m9.figshare.23659384
title: Improving the quality of external cause of death data in Brazil: evaluation and validation of a new form to investigate garbage codes

description: Garbage codes, such as external causes with no specific information, indicate poor quality cause of death data. Investigation of garbage codes via an effective instrument is necessary to convert them into useful data for public health. This study analyzed the performance and suitability of the new investigation of deaths from external causes (IDEC) form to improve the quality of external cause of death data in Brazil. The performance of the IDEC form on 133 external garbage codes deaths was compared with a stratified matched sample of 992 (16%) investigated deaths that used the standard garbage codes form. Consistency between these two groups was checked. The percentage of garbage codes from external causes reclassified into valid causes with a 95% confidence interval (95%CI) was analyzed. Reclassification for specific causes has been described. Qualitative data on the feasibility of the form were recorded by field investigators. Investigation using the new form reduced all external garbage codes by -92.5% (95%CI: -97.0; -88.0), whereas the existing form decreased garbage codes by -60.5% (95%CI: -63.5; -57.4). The IDEC form presented higher effectivity for external-cause garbage codes of determined intent. Deaths that remained garbage codes mainly lacked information about the circumstances of poisoning and/or vehicle accidents. Despite the fact that field investigators considered the IDEC form feasible, they suggested modifications for further improvement. The new form was more effective than the current standard form in improving the quality of defined external causes.
DOI: 10.6084/m9.figshare.23659384.v1
title: Improving the quality of external cause of death data in Brazil: evaluation and validation of a new form to investigate garbage codes

description: Garbage codes, such as external causes with no specific information, indicate poor quality cause of death data. Investigation of garbage codes via an effective instrument is necessary to convert them into useful data for public health. This study analyzed the performance and suitability of the new investigation of deaths from external causes (IDEC) form to improve the quality of external cause of death data in Brazil. The performance of the IDEC form on 133 external garbage codes deaths was compared with a stratified matched sample of 992 (16%) investigated deaths that used the standard garbage codes form. Consistency between these two groups was checked. The percentage of garbage codes from external causes reclassified into valid causes with a 95% confidence interval (95%CI) was analyzed. Reclassification for specific causes has been described. Qualitative data on the feasibility of the form were recorded by field investigators. Investigation using the new form reduced all external garbage codes by -92.5% (95%CI: -97.0; -88.0), whereas the existing form decreased garbage codes by -60.5% (95%CI: -63.5; -57.4). The IDEC form presented higher effectivity for external-cause garbage codes of determined intent. Deaths that remained garbage codes mainly lacked information about the circumstances of poisoning and/or vehicle accidents. Despite the fact that field investigators considered the IDEC form feasible, they suggested modifications for further improvement. The new form was more effective than the current standard form in improving the quality of defined external causes.
DOI: 10.6084/m9.figshare.23659385
title: Tolerance of sour passion fruit cultivars to salt stress in a semi-arid region

description: ABSTRACT Given the quantitative scarcity of low-salinity water resources in the Brazilian semi-arid region, it is necessary to use water with a high concentration of salts. Thus, identifying salt-stress tolerant cultivars of crops is an alternative for expanding irrigated agriculture. The objective of this study was to evaluate the tolerance of passion fruit cultivars as a function of irrigation water electrical conductivity. The experimental design was randomized blocks, in a 5 × 3 factorial scheme, whose treatments consisted of the combination of five values of electrical conductivity of irrigation water - ECw (0.3, 1.1, 1.9, 2.7, and 3.5 dS m-1) and three sour passion fruit cultivars (BRS GA1, BRS SC1, and SCS437, with three replicates. Electrical conductivity of water from 0.3 dS m-1 reduces the relative water content, gas exchange, and the number of fruits and increased electrolyte leakage in the leaf blade of passion fruit plants, at 153 days after transplantation. The passion fruit cultivars BRS GA1, BRS SC1, and SCS437 were classified as sensitive, with threshold electrical conductivity of water of 0.3, 1.0, and 0.3 dS m-1, respectively.
DOI: 10.6084/m9.figshare.23659385.v1
title: Tolerance of sour passion fruit cultivars to salt stress in a semi-arid region

description: ABSTRACT Given the quantitative scarcity of low-salinity water resources in the Brazilian semi-arid region, it is necessary to use water with a high concentration of salts. Thus, identifying salt-stress tolerant cultivars of crops is an alternative for expanding irrigated agriculture. The objective of this study was to evaluate the tolerance of passion fruit cultivars as a function of irrigation water electrical conductivity. The experimental design was randomized blocks, in a 5 × 3 factorial scheme, whose treatments consisted of the combination of five values of electrical conductivity of irrigation water - ECw (0.3, 1.1, 1.9, 2.7, and 3.5 dS m-1) and three sour passion fruit cultivars (BRS GA1, BRS SC1, and SCS437, with three replicates. Electrical conductivity of water from 0.3 dS m-1 reduces the relative water content, gas exchange, and the number of fruits and increased electrolyte leakage in the leaf blade of passion fruit plants, at 153 days after transplantation. The passion fruit cultivars BRS GA1, BRS SC1, and SCS437 were classified as sensitive, with threshold electrical conductivity of water of 0.3, 1.0, and 0.3 dS m-1, respectively.
DOI: 10.5281/zenodo.8133737
title: Weapon samples

description: Weapons
DOI: 10.5281/zenodo.8133736
title: Weapon samples

description: Weapons
DOI: 10.6084/m9.figshare.23659387.v1
title: CATEGORY STATUS AND ITS RELATIONAL MARKET ORDERING MECHANISMS

description: ABSTRACT Status systems bring social order to markets, but they are non-meritocratic arrangements that benefit those of a higher status and penalize those of a lower status. Paradoxically, these systems are also maintained by those who suffer the most from their inequalities. The literature tends to explain the persistence of these systems through macro-oriented or micro-oriented mechanisms. We propose an alternative path by investigating relational mechanisms that might explain the persistence of this paradox. In an haute cuisine market, we used the social network analysis perspective to identify relational mechanisms that maintain this collective system. The results revealed a three-role structure of symbolic deference/appreciation (diffuse, selective, and egocentric). To conclude, we highlight the social order as a continuous tension between normality and chaos in the relationships between roles and the procedural aspect of structuring market roles, which we call authorizing the representation of a market category.
DOI: 10.6084/m9.figshare.23659387
title: CATEGORY STATUS AND ITS RELATIONAL MARKET ORDERING MECHANISMS

description: ABSTRACT Status systems bring social order to markets, but they are non-meritocratic arrangements that benefit those of a higher status and penalize those of a lower status. Paradoxically, these systems are also maintained by those who suffer the most from their inequalities. The literature tends to explain the persistence of these systems through macro-oriented or micro-oriented mechanisms. We propose an alternative path by investigating relational mechanisms that might explain the persistence of this paradox. In an haute cuisine market, we used the social network analysis perspective to identify relational mechanisms that maintain this collective system. The results revealed a three-role structure of symbolic deference/appreciation (diffuse, selective, and egocentric). To conclude, we highlight the social order as a continuous tension between normality and chaos in the relationships between roles and the procedural aspect of structuring market roles, which we call authorizing the representation of a market category.
DOI: 10.6084/m9.figshare.23659390
title: Evaluation of konjac noodle as a microsurgery training model: learning curve analysis

description: ABSTRACT Background: classical models of microsurgical anastomosis training are expensive and have ethical implications. Some alternatives join low cost and easiness to store. However, the translation of knowledge acquired by training in these methods into the traditional ones is not clear. This project aims to assess the feasibility of konjac noodles as a reliable microsurgery-training model. Methods: 10 neurosurgery residents performed an end-to-end anastomosis in a 2-3mm placenta artery. The anastomoses were evaluated quantitatively, recording time; and qualitatively, applying a validated score (Anastomosis Lapse Index - ALI) by three experienced neurosurgeons and verifying the presence of gross leakage through the infusion of fluorescein. Subsequently, they performed 10 non-consecutive sessions of anastomosis training in the konjac noodle. Eventually, a final anastomosis in the placenta model was performed and the same parameters were scored. Results: we observed a 17min reduction in the mean time to perform the anastomosis in the placenta model after the training in the konjac (p&lt;0.05). There was a non-significant 20% reduction in gross leakage, but the training sessions were not able to consistently improve the ALI score. Conclusions: we demonstrate a reduction in anastomosis performing time in placental arteries after training sessions in the konjac noodle model, which can be regarded as a feasible low-cost method, particularly useful in centers with surgical microscopes only in the operation room.