cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21679152
title: Retinoic acid induces differentiation of cochlear neural progenitor cells into hair cells

description: Abstract Introduction: Inner ear progenitor cells have the potential for multi-directional differentiation. Retinoic acid is an important requirement for the development of the inner ear. Blocking the Curtyr’s retinoic acid signaling pathway can significantly reduce the number of hair cells. Therefore, we believe that retinoic acid may induce the regeneration of inner ear hair cells. Objective: To investigate whether the cochlear neural progenitor cells maintain the characteristics of stem cells during recovery and subculture, whether retinoic acid can induce cochlear neural progenitor cells into hair cells in vitro, and whether retinoic acid promotes or inhibits the proliferation of cochlear neural progenitor cells during differentiation. Methods: Cochlear neural progenitor cells were cultured and induced in DMEM/F12 + RA (10−6M) and then detected the expressions of hair cell markers (Math1 and MyosinVIIa) by immunofluorescence cytochemistry and realtime-polymerase chain reaction, and the proliferation of cochlear neural progenitor cells was detected by Brdu. Results: The nestin of cochlear neural progenitor cells was positively expressed. The ratios of Math1-positive cells in the control group and experimental group were 1.5% and 63%, respectively; the ratios of MyosinVIIa-positive cells in the control group and experimental group were 0.96% and 56%, respectively (p &lt;0.05). The ratios of Brdu+-labeled cells in retinoic acid group, group PBS, and group FBS were 20.6%, 29.9%, and 54.3%, respectively; however, the proliferation rate in the experimental group decreased. Conclusion: Retinoic acid can promote cochlear neural progenitor cells to differentiate into the hair cells.
DOI: 10.6084/m9.figshare.21679152.v1
title: Retinoic acid induces differentiation of cochlear neural progenitor cells into hair cells

description: Abstract Introduction: Inner ear progenitor cells have the potential for multi-directional differentiation. Retinoic acid is an important requirement for the development of the inner ear. Blocking the Curtyr’s retinoic acid signaling pathway can significantly reduce the number of hair cells. Therefore, we believe that retinoic acid may induce the regeneration of inner ear hair cells. Objective: To investigate whether the cochlear neural progenitor cells maintain the characteristics of stem cells during recovery and subculture, whether retinoic acid can induce cochlear neural progenitor cells into hair cells in vitro, and whether retinoic acid promotes or inhibits the proliferation of cochlear neural progenitor cells during differentiation. Methods: Cochlear neural progenitor cells were cultured and induced in DMEM/F12 + RA (10−6M) and then detected the expressions of hair cell markers (Math1 and MyosinVIIa) by immunofluorescence cytochemistry and realtime-polymerase chain reaction, and the proliferation of cochlear neural progenitor cells was detected by Brdu. Results: The nestin of cochlear neural progenitor cells was positively expressed. The ratios of Math1-positive cells in the control group and experimental group were 1.5% and 63%, respectively; the ratios of MyosinVIIa-positive cells in the control group and experimental group were 0.96% and 56%, respectively (p &lt;0.05). The ratios of Brdu+-labeled cells in retinoic acid group, group PBS, and group FBS were 20.6%, 29.9%, and 54.3%, respectively; however, the proliferation rate in the experimental group decreased. Conclusion: Retinoic acid can promote cochlear neural progenitor cells to differentiate into the hair cells.
DOI: 10.6084/m9.figshare.21679157
title: Determination of vertical land movements through the integration of tide gauge observations and satellite altimetry data at the Brazilian Vertical Datum from 2002 to 2015

description: Abstract: Satellite altimetry missions and tide gauges allow the monitoring of sea level variations over time. While tide gauges monitor sea level relative to a local reference, satellite altimetry missions do so in relation to the Earth’s geocenter. From the comparison between time series generated by these two methods, we observed differences that may be related to possible vertical land movement (VLM). Our objective in this study is to determine the linear trends of VLMs from the difference between the sea level trend found by the satellite altimetry missions TOPEX/Poseidon, JASON 1, 2 and 3 (v SA ) and the sea level trend found by the tide gauge of Imbituba in Santa Catarina (SC), Brazil (v TG ). For this, we demarcated cells along the satellite tracks at a radius of up to 500 km over the ocean from the location of the tide gauge station. The mean values for v SA (1992-2017) and v TG (2002-2015) were 2.5 mm/a ±1.2 mm/a and 5.4 mm/a ±1.9 mm/a, while the mean values for v SA (2007-2015) and v TG (2007-2015) were 7.1 mm/a ±4.6 mm/a and 13.0 mm/a ±4.2 mm/a, respectively. The comparison of VLM obtained between the combination of v SA and v TG and GNSS showed results with better consistency over longer time series.
DOI: 10.6084/m9.figshare.21679157.v1
title: Determination of vertical land movements through the integration of tide gauge observations and satellite altimetry data at the Brazilian Vertical Datum from 2002 to 2015

description: Abstract: Satellite altimetry missions and tide gauges allow the monitoring of sea level variations over time. While tide gauges monitor sea level relative to a local reference, satellite altimetry missions do so in relation to the Earth’s geocenter. From the comparison between time series generated by these two methods, we observed differences that may be related to possible vertical land movement (VLM). Our objective in this study is to determine the linear trends of VLMs from the difference between the sea level trend found by the satellite altimetry missions TOPEX/Poseidon, JASON 1, 2 and 3 (v SA ) and the sea level trend found by the tide gauge of Imbituba in Santa Catarina (SC), Brazil (v TG ). For this, we demarcated cells along the satellite tracks at a radius of up to 500 km over the ocean from the location of the tide gauge station. The mean values for v SA (1992-2017) and v TG (2002-2015) were 2.5 mm/a ±1.2 mm/a and 5.4 mm/a ±1.9 mm/a, while the mean values for v SA (2007-2015) and v TG (2007-2015) were 7.1 mm/a ±4.6 mm/a and 13.0 mm/a ±4.2 mm/a, respectively. The comparison of VLM obtained between the combination of v SA and v TG and GNSS showed results with better consistency over longer time series.
DOI: 10.6084/m9.figshare.21679158
title: Albumin-Bilirubin Score: A Novel Mortality Predictor in Valvular Surgery

description: ABSTRACT Introduction: The heart and liver are two organs that are closely related. The Albumin-Bilirubin (ALBI) score is a developed scoring system for assessing liver function. The aims of this study were to examine the correlation between preoperative ALBI score and pulmonary artery pressure and to investigate its ability to predict heart valve surgery mortality outcomes. Methods: The data of 872 patients who underwent isolated and combined heart valve surgery from 2014 to 2021 were retrospectively screened. In the preoperative period, 152 patients with laboratory tests including albumin and total bilirubin were found and analyzed retrospectively. Thirteen of these patients were excluded from the study. The remaining 139 patients were included in the analysis. Baseline demographic data, echocardiography data, performance status, laboratory data, operative data, and postoperative status were collected. The optimal cutoff value of preoperative ALBI score was calculated. Results: The cutoff for ALBI scores was calculated as -2.44 to predict in-hospital mortality (sensitivity = 75.0%, specificity = 70%). Based on the cutoff value, 90 patients had a low ALBI score (≤ -2.44, 64.7%) and 49 patients had a high ALBI score (&gt; -2.44, 35.3%). High ALBI score was associated with an increased incidence of acute kidney injury and in-hospital mortality, and a positive correlation was found between ALBI score and pulmonary artery pressure. Conclusion: In patients with valvular surgery, high ALBI score was an independent prognostic factor of in-hospital mortality and acute kidney injury. It is easily measurable and a cost-effective way to predict mortality.
DOI: 10.6084/m9.figshare.21679158.v1
title: Albumin-Bilirubin Score: A Novel Mortality Predictor in Valvular Surgery

description: ABSTRACT Introduction: The heart and liver are two organs that are closely related. The Albumin-Bilirubin (ALBI) score is a developed scoring system for assessing liver function. The aims of this study were to examine the correlation between preoperative ALBI score and pulmonary artery pressure and to investigate its ability to predict heart valve surgery mortality outcomes. Methods: The data of 872 patients who underwent isolated and combined heart valve surgery from 2014 to 2021 were retrospectively screened. In the preoperative period, 152 patients with laboratory tests including albumin and total bilirubin were found and analyzed retrospectively. Thirteen of these patients were excluded from the study. The remaining 139 patients were included in the analysis. Baseline demographic data, echocardiography data, performance status, laboratory data, operative data, and postoperative status were collected. The optimal cutoff value of preoperative ALBI score was calculated. Results: The cutoff for ALBI scores was calculated as -2.44 to predict in-hospital mortality (sensitivity = 75.0%, specificity = 70%). Based on the cutoff value, 90 patients had a low ALBI score (≤ -2.44, 64.7%) and 49 patients had a high ALBI score (&gt; -2.44, 35.3%). High ALBI score was associated with an increased incidence of acute kidney injury and in-hospital mortality, and a positive correlation was found between ALBI score and pulmonary artery pressure. Conclusion: In patients with valvular surgery, high ALBI score was an independent prognostic factor of in-hospital mortality and acute kidney injury. It is easily measurable and a cost-effective way to predict mortality.
DOI: 10.6084/m9.figshare.21679160
title: Stem growth of multipurpose tree species: net effect of micrometeorological variability assessed by principal component regression

description: ABSTRACT In a typical year in the central Amazon, there is a mild dry season, but its effect on stem growth of multipurpose forest tree species is not yet well known. This study aimed to determine the individual effect of microclimatic parameters on stem growth after removing the influence of intercorrelation among microclimatic variables. Monthly stem diameter increment was measured in six species (46 trees) from January 2018 to December 2020. Microclimatic variables recorded were irradiance, air temperature, rainfall, and vapor pressure deficit. Principal component regression was used to assess the effect of micrometeorological variability on stem growth. On average, stem growth increased with an increase in rainfall and soil water content, but decreased with rise in maximum temperature and maximum vapor pressure deficit. These findings indicate that, when removing the effect of intercorrelation between microclimatic parameters, vapor pressure deficit may, in fact, affect stem growth. We demonstrate that the reduction in stem growth during the dry season can also be related to an increase in maximum temperature and maximum vapor pressure deficit, and not only to a decline in soil water content.
DOI: 10.6084/m9.figshare.21679160.v1
title: Stem growth of multipurpose tree species: net effect of micrometeorological variability assessed by principal component regression

description: ABSTRACT In a typical year in the central Amazon, there is a mild dry season, but its effect on stem growth of multipurpose forest tree species is not yet well known. This study aimed to determine the individual effect of microclimatic parameters on stem growth after removing the influence of intercorrelation among microclimatic variables. Monthly stem diameter increment was measured in six species (46 trees) from January 2018 to December 2020. Microclimatic variables recorded were irradiance, air temperature, rainfall, and vapor pressure deficit. Principal component regression was used to assess the effect of micrometeorological variability on stem growth. On average, stem growth increased with an increase in rainfall and soil water content, but decreased with rise in maximum temperature and maximum vapor pressure deficit. These findings indicate that, when removing the effect of intercorrelation between microclimatic parameters, vapor pressure deficit may, in fact, affect stem growth. We demonstrate that the reduction in stem growth during the dry season can also be related to an increase in maximum temperature and maximum vapor pressure deficit, and not only to a decline in soil water content.
DOI: 10.6084/m9.figshare.21679161
title: Data mining applied to feature selection methods for aboveground carbon stock modelling

description: Abstract The objective of this work was to apply the random forest (RF) algorithm to the modelling of the aboveground carbon (AGC) stock of a tropical forest by testing three feature selection procedures – recursive removal and the uniobjective and multiobjective genetic algorithms (GAs). The used database covered 1,007 plots sampled in the Rio Grande watershed, in the state of Minas Gerais state, Brazil, and 114 environmental variables (climatic, edaphic, geographic, terrain, and spectral). The best feature selection strategy – RF with multiobjective GA – reaches the minor root-square error of 17.75 Mg ha-1 with only four spectral variables – normalized difference moisture index, normalized burnratio 2 correlation text ure, treecover, and latent heat flux –, which represents a reduction of 96.5% in the size of the database. Feature selection strategies assist in obtaining a better RF performance, by improving the accuracy and reducing the volume of the data. Although the recursive removal and multiobjective GA showed a similar performance as feature selection strategies, the latter presents the smallest subset of variables, with the highest accuracy. The findings of this study highlight the importance of using near infrared, short wavelengths, and derived vegetation indices for the remote-sense-based estimation of AGC. The MODIS products show a significant relationship with the AGC stock and should be further explored by the scientific community for the modelling of this stock.
DOI: 10.6084/m9.figshare.21679161.v1
title: Data mining applied to feature selection methods for aboveground carbon stock modelling

description: Abstract The objective of this work was to apply the random forest (RF) algorithm to the modelling of the aboveground carbon (AGC) stock of a tropical forest by testing three feature selection procedures – recursive removal and the uniobjective and multiobjective genetic algorithms (GAs). The used database covered 1,007 plots sampled in the Rio Grande watershed, in the state of Minas Gerais state, Brazil, and 114 environmental variables (climatic, edaphic, geographic, terrain, and spectral). The best feature selection strategy – RF with multiobjective GA – reaches the minor root-square error of 17.75 Mg ha-1 with only four spectral variables – normalized difference moisture index, normalized burnratio 2 correlation text ure, treecover, and latent heat flux –, which represents a reduction of 96.5% in the size of the database. Feature selection strategies assist in obtaining a better RF performance, by improving the accuracy and reducing the volume of the data. Although the recursive removal and multiobjective GA showed a similar performance as feature selection strategies, the latter presents the smallest subset of variables, with the highest accuracy. The findings of this study highlight the importance of using near infrared, short wavelengths, and derived vegetation indices for the remote-sense-based estimation of AGC. The MODIS products show a significant relationship with the AGC stock and should be further explored by the scientific community for the modelling of this stock.
DOI: 10.6084/m9.figshare.21679164
title: Creutzfeldt-Jakob disease: literature review based on three case reports

description: ABSTRACT. Creutzfeldt-Jakob disease (CJD) is one of the transmissible spongiform encephalopathies that lead to rapidly progressive dementia. CJD has a low prevalence, and the average survival is only 1 year after the onset of symptoms. As the patients with CJD develop rapidly progressive dementia, associated with myoclonus, visual or cerebellar problems, pyramidal or extrapyramidal features, and akinetic mutism, the hypothesis of CJD must be raised. Classic magnetic resonance imaging (MRI) findings are hypersignals in the caudate nucleus, putamen, and cortical region. CJD must be considered a differential diagnosis of other types of dementia, and there is no effective treatment for this disease. In this article, we present a literature review based on the report of three cases of the sporadic form of this disease.
DOI: 10.6084/m9.figshare.21679164.v1
title: Creutzfeldt-Jakob disease: literature review based on three case reports

description: ABSTRACT. Creutzfeldt-Jakob disease (CJD) is one of the transmissible spongiform encephalopathies that lead to rapidly progressive dementia. CJD has a low prevalence, and the average survival is only 1 year after the onset of symptoms. As the patients with CJD develop rapidly progressive dementia, associated with myoclonus, visual or cerebellar problems, pyramidal or extrapyramidal features, and akinetic mutism, the hypothesis of CJD must be raised. Classic magnetic resonance imaging (MRI) findings are hypersignals in the caudate nucleus, putamen, and cortical region. CJD must be considered a differential diagnosis of other types of dementia, and there is no effective treatment for this disease. In this article, we present a literature review based on the report of three cases of the sporadic form of this disease.
DOI: 10.6084/m9.figshare.21679167
title: Challenges and Coping Measures in the Education of the Deaf and Hearing Impaired in Times of Pandemic

description: ABSTRACT: With the announcement of the pandemic by COVID-19, social isolation and the closing of schools were some of the measures adopted to contain the coronavirus contagion, leading to a worldwide educational crisis. As a reactionary measure, it is expected that pedagogical strategies have been created to mitigate the current educational impacts on the education of the deaf and hearing impaired. In order to outline the main strengths and weaknesses of educational actions and strategies in the teaching of these individuals in the pandemic period in 2020 and 2021, a bibliographic review was carried out through a systematic search on the platform of the Coordination for the Improvement of Higher Education Personnel (CAPES), using the keywords “education”, “pandemic” and “deaf”. Te main dificulties in remote teaching for the deaf consisted of the lack of access to materials and technologies for participation in classes, especially in poorer countries, and a shortage of teachers and interpreters in sign language. It was possible to identify that digital platforms, assistive technologies (subtitling, real-time translation, accessible teaching materials for the deaf, among others), training and literacy of parents, students and teachers in sign language were protagonists as a suggestion of confrontation. However, the participation of the State in the training and qualification of teachers and interpreters of Brazilian Sign Language (known by the acronym LIBRAS) are extremely necessary for the achievement of the inclusive Bilingual Education.
DOI: 10.6084/m9.figshare.21679167.v1
title: Challenges and Coping Measures in the Education of the Deaf and Hearing Impaired in Times of Pandemic

description: ABSTRACT: With the announcement of the pandemic by COVID-19, social isolation and the closing of schools were some of the measures adopted to contain the coronavirus contagion, leading to a worldwide educational crisis. As a reactionary measure, it is expected that pedagogical strategies have been created to mitigate the current educational impacts on the education of the deaf and hearing impaired. In order to outline the main strengths and weaknesses of educational actions and strategies in the teaching of these individuals in the pandemic period in 2020 and 2021, a bibliographic review was carried out through a systematic search on the platform of the Coordination for the Improvement of Higher Education Personnel (CAPES), using the keywords “education”, “pandemic” and “deaf”. Te main dificulties in remote teaching for the deaf consisted of the lack of access to materials and technologies for participation in classes, especially in poorer countries, and a shortage of teachers and interpreters in sign language. It was possible to identify that digital platforms, assistive technologies (subtitling, real-time translation, accessible teaching materials for the deaf, among others), training and literacy of parents, students and teachers in sign language were protagonists as a suggestion of confrontation. However, the participation of the State in the training and qualification of teachers and interpreters of Brazilian Sign Language (known by the acronym LIBRAS) are extremely necessary for the achievement of the inclusive Bilingual Education.
DOI: 10.6084/m9.figshare.21679169.v1
title: Efficacy of non-invasive diagnostic methods in the diagnosis and screening of oral cancer and precancer

description: Abstract Introduction: Traditional meta-analyses on the diagnostic accuracy of oral lesions have been conducted, but they were inherently limited to direct pairwise comparisons between a single method and a single alternative, while multiple diagnostic options and the ranking thereof were methodologically not possible. Objective: To evaluate the diagnostic values of various methods in patients with oral potential malignant disease by performing a network meta-analysis. Methods: Two authors independently searched the databases (MEDLINE, SCOPUS, the Cochrane Register of Controlled Trials, and Google scholar) up to June 2020 for studies comparing the diagnostic accuracy of various tools (autofluorescence, chemiluminescence, cytology, narrow band imaging, and toluidine blue) with visual examination or other tools. The outcomes of interest for this analysis were sensitivity, specificity, negative predictive value, positive predictive value and accuracy. Both a standard pairwise meta-analysis and network meta-analysis were conducted. Results: Treatment networks consisting of six interventions were defined for the network metaanalysis. The results of traditional meta-analysis showed that, among six methods, narrow band imaging showed higher sensitivity, specificity, negative predictive value, positive predictive value, and accuracy compared to visual examination. The results of network meta-analysis showed that autofluorescence, chemiluminescence, and narrow band imaging had higher sensitivity compared with visual examination, and that chemiluminescence and narrow band imaging had higher negative predictive value compared with visual examination. However, autofluorescence and chemiluminescence had lower specificity compared with visual examination. There were no significant differences in positive predictive value and accuracy among the six interventions. Conclusion: This study demonstrated that narrow banding imaging has superiority in terms of sensitivity and negative predictive value compared with the other five tested agents.