cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20970120
title: Factors associated with anxiety/depression in medical students during social distancing due to Covid-19

description: Abstract: Introduction: Medical training involves stressors and possible triggers of mental disorders. Objective: Our study aims to determine the prevalence and factors associated with signs and symptoms of anxiety and depression in medical students during social distancing measures imposed due to the COVID-19 pandemic. Method: A cross-sectional study was conducted between May and June 2020 among medical students from higher education institutions in Pernambuco state, Brazil. An online questionnaire was created using Google Forms containing sociodemographic and clinical characteristics and the Hospital Anxiety and Depression Scale (EHAD). For statistical analysis, multivariate analysis was performed and the risk ratio (RR) and its 95% confidence interval (95%CI) were calculated, considering the significance coefficient (p) &lt;0.05. Result: The variables associated with a higher risk of anxiety signs and symptoms were female gender, decreasing/increasing smoking habit, increasing/not changing drug consumption, decreasing/not practicing leisure, lack of preparation by the university for distance learning, distance learning in place before the pandemic and decline in academic performance compared to previous periods. As for depression, there was a greater risk of increasing/not changing the use of medications, decreasing leisure time, university not being prepared for distance learning, declining academic performance and brown skin colour. Conclusion: Different factors related to the signs and symptoms of anxiety and depression were identified in the period of social distancing resulting from the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.20970120.v1
title: Factors associated with anxiety/depression in medical students during social distancing due to Covid-19

description: Abstract: Introduction: Medical training involves stressors and possible triggers of mental disorders. Objective: Our study aims to determine the prevalence and factors associated with signs and symptoms of anxiety and depression in medical students during social distancing measures imposed due to the COVID-19 pandemic. Method: A cross-sectional study was conducted between May and June 2020 among medical students from higher education institutions in Pernambuco state, Brazil. An online questionnaire was created using Google Forms containing sociodemographic and clinical characteristics and the Hospital Anxiety and Depression Scale (EHAD). For statistical analysis, multivariate analysis was performed and the risk ratio (RR) and its 95% confidence interval (95%CI) were calculated, considering the significance coefficient (p) &lt;0.05. Result: The variables associated with a higher risk of anxiety signs and symptoms were female gender, decreasing/increasing smoking habit, increasing/not changing drug consumption, decreasing/not practicing leisure, lack of preparation by the university for distance learning, distance learning in place before the pandemic and decline in academic performance compared to previous periods. As for depression, there was a greater risk of increasing/not changing the use of medications, decreasing leisure time, university not being prepared for distance learning, declining academic performance and brown skin colour. Conclusion: Different factors related to the signs and symptoms of anxiety and depression were identified in the period of social distancing resulting from the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.20970129
title: PERSPECTIVES FOR TEACHER TRAINING IN THE WORKS OF MATHEMATICS FAIR: A LOOK AT THE TEACHER CATEGORY

description: ABSTRACT: Teacher training in Brazil has been the focus of interest and research in recent decades and has contributed to the understanding and advancement of the area. However, when its direction moves towards Mathematics Fair, research is still incipient. To contribute to this data change, the present study is the result of qualitative research centered on the problem: what teacher training perspectives can be revealed from the written texts from works presented in the category Santa Catarina’s teachers at Math Fair? For this purpose, the corpus of analysis consisted of 38 publications registered from annals, relating to the category Teacher, for the period from 2014 to 2019. The descriptive and interpretative analysis of the corpus revealed that there are different perspectives for teacher training: one is more prominently, closer to practical rationality; another is more related to critical rationality; and, finally, a third one that is related to technical rationality. Therefore, it is possible to evidence a tendency of the lecturing teacher to report practices, which seek to overcome the traditional, prominently valuing the actions from their own successful experiences, but also with a view from the praxis. We conclude by indicating the relevance of discussions in the scope of the Math Fair about the implications of each identified training perspective, as well as suggesting problematizing the Teacher category.
DOI: 10.6084/m9.figshare.20970129.v1
title: PERSPECTIVES FOR TEACHER TRAINING IN THE WORKS OF MATHEMATICS FAIR: A LOOK AT THE TEACHER CATEGORY

description: ABSTRACT: Teacher training in Brazil has been the focus of interest and research in recent decades and has contributed to the understanding and advancement of the area. However, when its direction moves towards Mathematics Fair, research is still incipient. To contribute to this data change, the present study is the result of qualitative research centered on the problem: what teacher training perspectives can be revealed from the written texts from works presented in the category Santa Catarina’s teachers at Math Fair? For this purpose, the corpus of analysis consisted of 38 publications registered from annals, relating to the category Teacher, for the period from 2014 to 2019. The descriptive and interpretative analysis of the corpus revealed that there are different perspectives for teacher training: one is more prominently, closer to practical rationality; another is more related to critical rationality; and, finally, a third one that is related to technical rationality. Therefore, it is possible to evidence a tendency of the lecturing teacher to report practices, which seek to overcome the traditional, prominently valuing the actions from their own successful experiences, but also with a view from the praxis. We conclude by indicating the relevance of discussions in the scope of the Math Fair about the implications of each identified training perspective, as well as suggesting problematizing the Teacher category.
DOI: 10.6084/m9.figshare.20970131
title: INDUSTRIALIZATION AND ECONOMIC DEVELOPMENT: EFFECTS OF MANUFACTURING AND FIXED INVESTMENT INTERACTIONS

description: ABSTRACT This research evaluates whether the effects of the manufacturing sector on economic growth are enhanced by investment spending. Previous studies have shown the importance of manufacturing to growth; however, they have disregarded spillover effects of gross fixed capital formation in conjunction with manufacturing. Thus, this study innovates the relevant literature by considering such interaction, and by providing possible alternative interpretations for the low economic activity of certain regions. It used the dynamic panel data model with GMM-DIF estimator in a sample with 119 countries (96% of world GDP), observed from 1996 to 2016. The results are consistent with structural change theory. For each 1% change in the manufacturing share of GDP, an average increase in the GDP per capita growth rate was estimated to range from 0.30% to 0.81%, while the gross fixed capital formation values ranged between the average and very close to the sample maximum. Thus, the spillover effect of capital accumulation was confirmed, increasing the impacts of manufacturing on the region’s economic growth. The importance of manufacturing for growth was confirmed.
DOI: 10.6084/m9.figshare.20970131.v1
title: INDUSTRIALIZATION AND ECONOMIC DEVELOPMENT: EFFECTS OF MANUFACTURING AND FIXED INVESTMENT INTERACTIONS

description: ABSTRACT This research evaluates whether the effects of the manufacturing sector on economic growth are enhanced by investment spending. Previous studies have shown the importance of manufacturing to growth; however, they have disregarded spillover effects of gross fixed capital formation in conjunction with manufacturing. Thus, this study innovates the relevant literature by considering such interaction, and by providing possible alternative interpretations for the low economic activity of certain regions. It used the dynamic panel data model with GMM-DIF estimator in a sample with 119 countries (96% of world GDP), observed from 1996 to 2016. The results are consistent with structural change theory. For each 1% change in the manufacturing share of GDP, an average increase in the GDP per capita growth rate was estimated to range from 0.30% to 0.81%, while the gross fixed capital formation values ranged between the average and very close to the sample maximum. Thus, the spillover effect of capital accumulation was confirmed, increasing the impacts of manufacturing on the region’s economic growth. The importance of manufacturing for growth was confirmed.
DOI: 10.6084/m9.figshare.20729193
title: Brown eye spot incidence during the vegetative stage of coffee grown in soil under sustainable management

description: Abstract The objective of this work was to evaluate the influence of different soil coverings, fertilizer types, and soil conditioners on the incidence and severity of brown eye spot (Cercospora coffeicola) in coffee (Coffea arabica) during the vegetative stage. The experiment was carried out in a randomized complete block design, in a 3×2×5 factorial arrangement (soil coverings × fertilizer types × soil conditioners) in subdivided plots, with three replicates. Comparisons were made among: three soil covering (plastic film, Urochloa decumbens, and no covering) in the plots; two fertililizer types (conventional and controlled release) in the sub-plots; and four soil conditioners (coffee husk, agricultural gypsum, water retention polymer, and organic compound), as well as the control, in the sub-sub-plots. The area under the progress curve for disease incidence and severity showed the lowest mean without soil covering, whereas that for number of leaves was greater with the use of the controlled-release fertilizer. The plastic film provided a greater soil moisture and a lower soil resistance penetration. The chemical composition of the organic compound reduced coffee plants growth. Soil covering with plastic film or U. decumbens favors the high incidence of brown eye spot; however, it provides a greater soil moisture and, therefore, improves the growth of coffee plants in the vegetative stage.
DOI: 10.6084/m9.figshare.20729193.v1
title: Brown eye spot incidence during the vegetative stage of coffee grown in soil under sustainable management

description: Abstract The objective of this work was to evaluate the influence of different soil coverings, fertilizer types, and soil conditioners on the incidence and severity of brown eye spot (Cercospora coffeicola) in coffee (Coffea arabica) during the vegetative stage. The experiment was carried out in a randomized complete block design, in a 3×2×5 factorial arrangement (soil coverings × fertilizer types × soil conditioners) in subdivided plots, with three replicates. Comparisons were made among: three soil covering (plastic film, Urochloa decumbens, and no covering) in the plots; two fertililizer types (conventional and controlled release) in the sub-plots; and four soil conditioners (coffee husk, agricultural gypsum, water retention polymer, and organic compound), as well as the control, in the sub-sub-plots. The area under the progress curve for disease incidence and severity showed the lowest mean without soil covering, whereas that for number of leaves was greater with the use of the controlled-release fertilizer. The plastic film provided a greater soil moisture and a lower soil resistance penetration. The chemical composition of the organic compound reduced coffee plants growth. Soil covering with plastic film or U. decumbens favors the high incidence of brown eye spot; however, it provides a greater soil moisture and, therefore, improves the growth of coffee plants in the vegetative stage.
DOI: 10.6084/m9.figshare.20970147
title: Interactive effects of digestible protein levels on thermal and physical stress responses in Nile tilapia

description: ABSTRACT The effects of dietary digestible protein (DP) levels (22, 26, 29, 32, and 34%) and different stressors (cold-induced stress, CIS; heat/dissolved oxygen-induced stress, HDOIS; transport-induced stress, TIS; and size-sorting-induced stress, SSIS) on hemato-biochemical parameters were evaluated. Four hundred and forty Nile tilapia fingerlings were distributed into 40-250 L aquaria and fed experimental diets for 110 days, and fed each of the five experimental diets, that were randomly distributed to eight replicates per treatment. Then, different groups of fish were subjected to one type of stress. Groups of 40 fish were used on CIS (17 °C), HDOIS (32 °C), and TIS (4 h), and a group of 140 fish on SSIS (15 min air exposure and 60 s handling). There was no effect on hemato-biochemical profile when DP levels were compared, neither before nor after stress; however, there was a significant stress effect. Digestible protein did not mitigate stress response under SSIS and CIS; lymphopenia and neutrophilia were the main cell-mediated immune response; dietary 22 and 26% DP impaired oxygenation on SSIS and TIS; fish under HDOIS and SSIS demanded more energy using triglycerides as an energy source; the diet formulated to contain 22% DP was not adequate to keep homeostasis under temperature stress. Cluster analysis showed that, for DP levels below the requirement for growth, SSIS and CIS were considered the most stressful conditions. At 34% DP level, HDOIS response was comparable to that of non-stressing conditions.
DOI: 10.6084/m9.figshare.20970147.v1
title: Interactive effects of digestible protein levels on thermal and physical stress responses in Nile tilapia

description: ABSTRACT The effects of dietary digestible protein (DP) levels (22, 26, 29, 32, and 34%) and different stressors (cold-induced stress, CIS; heat/dissolved oxygen-induced stress, HDOIS; transport-induced stress, TIS; and size-sorting-induced stress, SSIS) on hemato-biochemical parameters were evaluated. Four hundred and forty Nile tilapia fingerlings were distributed into 40-250 L aquaria and fed experimental diets for 110 days, and fed each of the five experimental diets, that were randomly distributed to eight replicates per treatment. Then, different groups of fish were subjected to one type of stress. Groups of 40 fish were used on CIS (17 °C), HDOIS (32 °C), and TIS (4 h), and a group of 140 fish on SSIS (15 min air exposure and 60 s handling). There was no effect on hemato-biochemical profile when DP levels were compared, neither before nor after stress; however, there was a significant stress effect. Digestible protein did not mitigate stress response under SSIS and CIS; lymphopenia and neutrophilia were the main cell-mediated immune response; dietary 22 and 26% DP impaired oxygenation on SSIS and TIS; fish under HDOIS and SSIS demanded more energy using triglycerides as an energy source; the diet formulated to contain 22% DP was not adequate to keep homeostasis under temperature stress. Cluster analysis showed that, for DP levels below the requirement for growth, SSIS and CIS were considered the most stressful conditions. At 34% DP level, HDOIS response was comparable to that of non-stressing conditions.
DOI: 10.6084/m9.figshare.20729233
title: Complementarity between parents for earliness and grain yield in soybean

description: Abstract The objective of this work was to determine the general and specific combining ability (GCA and SCA, respectively) of six soybean (Glycine max) parents, in order to identify the promising ones and their best combinations for the development of superior lines for earliness and grain yield, as well as the best evaluation season. Six parents and their 15 hybrids were evaluated in a randomized complete block design, during the 2014 winter and 2015/2016 summer, in a greenhouse. The data obtained for number of days to flowering, cycle, and grain yield were analyzed by Griffing’s method 2, model 1. Contrasting results were obtained for the two seasons, with a shorter cycle and a higher yield in the summer. The highest GCA for cycle is observed for the 'MSOY6101' and 'MSOY9144RR' parents, with negative and positive signs, respectively. 'TMG123RR' shows the highest GCA for grain yield. The highest SCA for days to flowering and cycle is associated with the 'SYN9078RR' × 'MSOY9144RR' and 'TMG123RR' × 'MSOY9144RR' crosses, respectively. However, the highest SCA for grain yield is observed for 'MSOY6101' × 'MSOY9144RR', with a positive value, and for 'TMG801' × 'MSOY9144RR', with a negative value, during the summer.
DOI: 10.6084/m9.figshare.20729233.v1
title: Complementarity between parents for earliness and grain yield in soybean

description: Abstract The objective of this work was to determine the general and specific combining ability (GCA and SCA, respectively) of six soybean (Glycine max) parents, in order to identify the promising ones and their best combinations for the development of superior lines for earliness and grain yield, as well as the best evaluation season. Six parents and their 15 hybrids were evaluated in a randomized complete block design, during the 2014 winter and 2015/2016 summer, in a greenhouse. The data obtained for number of days to flowering, cycle, and grain yield were analyzed by Griffing’s method 2, model 1. Contrasting results were obtained for the two seasons, with a shorter cycle and a higher yield in the summer. The highest GCA for cycle is observed for the 'MSOY6101' and 'MSOY9144RR' parents, with negative and positive signs, respectively. 'TMG123RR' shows the highest GCA for grain yield. The highest SCA for days to flowering and cycle is associated with the 'SYN9078RR' × 'MSOY9144RR' and 'TMG123RR' × 'MSOY9144RR' crosses, respectively. However, the highest SCA for grain yield is observed for 'MSOY6101' × 'MSOY9144RR', with a positive value, and for 'TMG801' × 'MSOY9144RR', with a negative value, during the summer.
DOI: 10.5281/zenodo.7053152
title: Application of Machine Learning in Chinese Medicine Differentiation of Dampness-heat Pattern in Patients with Type 2 Diabetes Mellitus

description: Contains a compressed file of algorithm code and raw Excel data
DOI: 10.5281/zenodo.7053151
title: Application of Machine Learning in Chinese Medicine Differentiation of Dampness-heat Pattern in Patients with Type 2 Diabetes Mellitus

description: Contains a compressed file of algorithm code and raw Excel data
DOI: 10.5281/zenodo.7022981
title: Polifonia Mini Textual Corpus

description: The Polifonia Mini Textual Corpus is made of a balanced selection of sentences representative of the different periods and styles of the corpus. It was created to perform the transformation of sentences into AMR graphs. The reason why the Polifonia Mini Textual Corpus is made of sentences is twofold: (i) the Polifonia Textual Corpus' documents' length prevents them from fitting into GPU memory; (ii) AMR parsers' models are trained to transform no more than a few sentences into AMR graphs; therefore, their performance on large documents parsing is unreliable. Creating a sub-sample of sentences representative of all the modules of the Polifonia Textual Corpus allows for performing iterative validations of the text2AMR pipeline output. For example, it facilitates testing the algorithms developed to minimise the loss of information that segregating texts into sentences inherently brings (such as the loss of co-reference information). It also favours a more manageable Quality Assurance of the AMR graphs produced by the text2AMR models. When the results obtained on processing the Polifonia Mini Textual Corpus are considered satisfactory, we will apply the text2AMR pipeline to the Polifonia Textual Corpus in its entirety. Full description at: https://github.com/polifonia-project/Polifonia-Knowledge-Extractor
DOI: 10.5281/zenodo.7025778
title: Filtered AMR Graphs Bank

description: The filtered AMR graphs bank is the output of the Polifonia Knowledge Extractor pipeline. The Polifonia Mini Textual Corpus is pre-processed through coreference resolution and minimal rule-based post-OCR correction, then it is given as input to SPRING to obtain AMR graphs. The filtered AMR graphs bank encompasses the sentence-AMR graph pairs extrapolated from our initial AMR graphs bank corresponding to AMR2Text-generated sentences associated with a positive (&gt;0) BLEURT score. Full description at: https://github.com/polifonia-project/Polifonia-Knowledge-Extractor
DOI: 10.5281/zenodo.7025779
title: Filtered AMR Graphs Bank

description: The filtered AMR graphs bank is the output of the Polifonia Knowledge Extractor pipeline. The Polifonia Mini Textual Corpus is pre-processed through coreference resolution and minimal rule-based post-OCR correction, then it is given as input to SPRING to obtain AMR graphs. The filtered AMR graphs bank encompasses the sentence-AMR graph pairs extrapolated from our initial AMR graphs bank corresponding to AMR2Text-generated sentences associated with a positive (&gt;0) BLEURT score. Full description at: https://github.com/polifonia-project/Polifonia-Knowledge-Extractor
DOI: 10.5281/zenodo.7022980
title: Polifonia Mini Textual Corpus

description: The Polifonia Mini Textual Corpus is made of a balanced selection of sentences representative of the different periods and styles of the corpus. It was created to perform the transformation of sentences into AMR graphs. The reason why the Polifonia Mini Textual Corpus is made of sentences is twofold: (i) the Polifonia Textual Corpus' documents' length prevents them from fitting into GPU memory; (ii) AMR parsers' models are trained to transform no more than a few sentences into AMR graphs; therefore, their performance on large documents parsing is unreliable. Creating a sub-sample of sentences representative of all the modules of the Polifonia Textual Corpus allows for performing iterative validations of the text2AMR pipeline output. For example, it facilitates testing the algorithms developed to minimise the loss of information that segregating texts into sentences inherently brings (such as the loss of co-reference information). It also favours a more manageable Quality Assurance of the AMR graphs produced by the text2AMR models. When the results obtained on processing the Polifonia Mini Textual Corpus are considered satisfactory, we will apply the text2AMR pipeline to the Polifonia Textual Corpus in its entirety. Full description at: https://github.com/polifonia-project/Polifonia-Knowledge-Extractor