cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20443779
title: Impacts of reforestation on soil and soil organic carbon losses

description: ABSTRACT Water erosion is a serious environmental problem that causes soil degradation, compromises its fertility and causes soil organic carbon (SOC) losses. Reforestation, encouraged by Brazilian environmental legislation, is a way to reduce water erosion. However, in tropical and subtropical regions, there is little information on the impact of reforestation on soil loss rates and SOC. Therefore, this study aimed to apply the Erosion Potential Method, combined with multitemporal data from soil samples collected in situ, to estimate and spatialize soil and SOC losses in a predominantly agricultural Brazilian watershed that showed high rates of reforestation in the period studied from 2011 to 2019. The determination of the EPM parameters was carried out with the aid of a Geographic Information System and the soil loss estimate was validated with information from a hydrosedimentological collection station. The results showed that between 2011 and 2019 water erosion was reduced by 27.5%, while carbon losses were reduced by 32.7%. Among the evaluated crops, corn showed the highest soil and SOC losses, while coffee and forest areas exhibited the lowest rates. Reforestation of the basin is the main factor responsible for the reduction of soil losses. This process was initiated seeking to meet the requirements of the Brazilian Forest Code, which highlights the positive role that public policies can play in environmental conservation when respected and well applied.
DOI: 10.6084/m9.figshare.20443779.v1
title: Impacts of reforestation on soil and soil organic carbon losses

description: ABSTRACT Water erosion is a serious environmental problem that causes soil degradation, compromises its fertility and causes soil organic carbon (SOC) losses. Reforestation, encouraged by Brazilian environmental legislation, is a way to reduce water erosion. However, in tropical and subtropical regions, there is little information on the impact of reforestation on soil loss rates and SOC. Therefore, this study aimed to apply the Erosion Potential Method, combined with multitemporal data from soil samples collected in situ, to estimate and spatialize soil and SOC losses in a predominantly agricultural Brazilian watershed that showed high rates of reforestation in the period studied from 2011 to 2019. The determination of the EPM parameters was carried out with the aid of a Geographic Information System and the soil loss estimate was validated with information from a hydrosedimentological collection station. The results showed that between 2011 and 2019 water erosion was reduced by 27.5%, while carbon losses were reduced by 32.7%. Among the evaluated crops, corn showed the highest soil and SOC losses, while coffee and forest areas exhibited the lowest rates. Reforestation of the basin is the main factor responsible for the reduction of soil losses. This process was initiated seeking to meet the requirements of the Brazilian Forest Code, which highlights the positive role that public policies can play in environmental conservation when respected and well applied.
DOI: 10.6084/m9.figshare.20443782
title: Outbreak caused by the SARS-CoV-2 Omicron variant in the psychiatric ward of a general hospital in Brazil

description: ABSTRACT Background: An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant was detected in the psychiatric ward of a general hospital in Brasília, Brazil. Methods: We report the investigation, clinical outcomes, viral sequencing, and control measures applied to outbreak containment. Results: The overall attack rate was 95% (23/24) in a period of 13 days. Among the cases, 78% (18/23) were vaccinated and 17% (4/23) required intensive care. The Omicron variant was isolated from the 19 sequenced samples. Conclusions: The findings highlight the potential harm that highly transmissible variants may generate among hospitalized populations, particularly those with comorbidities.
DOI: 10.6084/m9.figshare.20443782.v1
title: Outbreak caused by the SARS-CoV-2 Omicron variant in the psychiatric ward of a general hospital in Brazil

description: ABSTRACT Background: An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant was detected in the psychiatric ward of a general hospital in Brasília, Brazil. Methods: We report the investigation, clinical outcomes, viral sequencing, and control measures applied to outbreak containment. Results: The overall attack rate was 95% (23/24) in a period of 13 days. Among the cases, 78% (18/23) were vaccinated and 17% (4/23) required intensive care. The Omicron variant was isolated from the 19 sequenced samples. Conclusions: The findings highlight the potential harm that highly transmissible variants may generate among hospitalized populations, particularly those with comorbidities.
DOI: 10.6084/m9.figshare.20443788
title: By-Products of the Timber Industries as Raw-Material for the Production of MDP (Medium Density Particleboard)

description: Abstract This study aimed to verify technical potential of using waste from wood veneers and plywood as a raw material for the production of MDP. The variance analysis of the panels density was carried out. Physical-mechanical properties were evaluated by comparing them with the international standards and by analysis of variance. The averages were subjected to the analysis of covariance, at the level of 5% probability. Finally, Pearson’s correlation analysis between properties was performed. The panels produced with “log core” and “veneer clippings” residues showed equivalent averages for physical properties and higher for mechanical properties of internal bond and surface screw withdrawal, when compared the averages of panels produced with commercial particles. Panels produced with “plywood cutting” showed unsatisfactory mechanical properties. It’s concluded that the “log core” and “veneer clippings” residues show potential for use as a raw material in the composition of MDP.
DOI: 10.6084/m9.figshare.20443794
title: Educational instrument for intervention in the lifestyle of overweight pregnant women

description: Abstract Objectives: to conduct the semantic validation of the images and text in educational material about eating and lifestyle for overweight women in different stages of pregnancy. Methods: qualitative, descriptive, analytical, cross-sectional study with focus groups for adapting and semantically validating the messages and images of educational material for women in three moments of the pre-natal period, as well as the support scripts for healthcare providers. The Consolidated Criteria for Reporting Qualitative Research (COREQ – Portuguese acronym) were considered. Results: participants of this study were seven pregnant women aged 21 to 40 who were in pre-natal care and 17 nutritionists aged 25 to 51. The folder was validated over seven meetings with the focus group, with one-week intervals between the groups. For each folder there were at least two meetings with focus groups, and one meeting for each script. The language was adjusted for the messages, and two images were changed to improve the self-identification of pregnant women. Technical and didactic adaptations were suggested for the scripts. Conclusion: images and text were semantically adapted; the instrument is easy to use in primary and secondary healthcare, providing support for pregnant women and healthcare providers on the subject of eating habits and lifestyle for overweight women in different stages of pregnancy.
DOI: 10.6084/m9.figshare.20443794.v1
title: Educational instrument for intervention in the lifestyle of overweight pregnant women

description: Abstract Objectives: to conduct the semantic validation of the images and text in educational material about eating and lifestyle for overweight women in different stages of pregnancy. Methods: qualitative, descriptive, analytical, cross-sectional study with focus groups for adapting and semantically validating the messages and images of educational material for women in three moments of the pre-natal period, as well as the support scripts for healthcare providers. The Consolidated Criteria for Reporting Qualitative Research (COREQ – Portuguese acronym) were considered. Results: participants of this study were seven pregnant women aged 21 to 40 who were in pre-natal care and 17 nutritionists aged 25 to 51. The folder was validated over seven meetings with the focus group, with one-week intervals between the groups. For each folder there were at least two meetings with focus groups, and one meeting for each script. The language was adjusted for the messages, and two images were changed to improve the self-identification of pregnant women. Technical and didactic adaptations were suggested for the scripts. Conclusion: images and text were semantically adapted; the instrument is easy to use in primary and secondary healthcare, providing support for pregnant women and healthcare providers on the subject of eating habits and lifestyle for overweight women in different stages of pregnancy.
DOI: 10.5281/zenodo.6983958
title: Mapping Phyllosilicates on the Asteroid Bennu Using Thermal Emission Spectra and Machine Learning Model Applications

description: We provide the laboratory spectra and metadata that was used to construct the PLS model coefficients. Through the application of the model, we provide the prediction values in volume% for Mg-rich serpentine, cronstedtite, and saponite for the BBD1, EQ3, and TAG datasets.
DOI: 10.5281/zenodo.6983985
title: Mapping Phyllosilicates on the Asteroid Bennu Using Thermal Emission Spectra and Machine Learning Model Applications

description: We provide the laboratory spectra and metadata that was used to construct the PLS model coefficients. Through the application of the model, we provide the prediction values in volume% for Mg-rich serpentine, cronstedtite, and saponite for the BBD1, EQ3, and TAG datasets.
DOI: 10.6084/m9.figshare.20443799.v1
title: Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018

description: ABSTRACT Background: Malaria is curable. Nonetheless, over 229 million cases of malaria were recorded in 2019, along with 409,000 deaths. Although over 42 million Brazilians are at risk of contracting malaria, 99% percent of all malaria cases in Brazil are located in or around the Amazon rainforest. Despite declining cases and deaths, malaria remains a major public health issue in Brazil. Accurate spatiotemporal prediction of malaria propagation may enable improved resource allocation to support efforts to eradicate the disease. Methods: In response to calls for novel research on malaria elimination strategies that suit local conditions, in this study, we propose machine learning (ML) and deep learning (DL) models to predict the probability of malaria cases in the state of Amazonas. Using a dataset of approximately 6 million records (January 2003 to December 2018), we applied k-means clustering to group cities based on their similarity of malaria incidence. We evaluated random forest, long-short term memory (LSTM) and dated recurrent unit (GRU) models and compared their performance. Results: The LSTM architecture achieved better performance in clusters with less variability in the number of cases, whereas the GRU presents better results in clusters with high variability. Although Diebold-Mariano testing suggested that both the LSTM and GRU performed comparably, GRU can be trained significantly faster, which could prove advantageous in practice. Conclusions: All models showed satisfactory accuracy and strong performance in predicting new cases of malaria, and each could serve as a supplemental tool to support regional policies and strategies.
DOI: 10.5281/zenodo.6983957
title: Mapping Phyllosilicates on the Asteroid Bennu Using Thermal Emission Spectra and Machine Learning Model Applications

description: We provide the laboratory spectra and metadata that was used to construct the PLS model coefficients. Through the application of the model, we provide the prediction values in volume% for Mg-rich serpentine, cronstedtite, and saponite for the BBD1, EQ3, and TAG datasets.
DOI: 10.6084/m9.figshare.20443799
title: Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018

description: ABSTRACT Background: Malaria is curable. Nonetheless, over 229 million cases of malaria were recorded in 2019, along with 409,000 deaths. Although over 42 million Brazilians are at risk of contracting malaria, 99% percent of all malaria cases in Brazil are located in or around the Amazon rainforest. Despite declining cases and deaths, malaria remains a major public health issue in Brazil. Accurate spatiotemporal prediction of malaria propagation may enable improved resource allocation to support efforts to eradicate the disease. Methods: In response to calls for novel research on malaria elimination strategies that suit local conditions, in this study, we propose machine learning (ML) and deep learning (DL) models to predict the probability of malaria cases in the state of Amazonas. Using a dataset of approximately 6 million records (January 2003 to December 2018), we applied k-means clustering to group cities based on their similarity of malaria incidence. We evaluated random forest, long-short term memory (LSTM) and dated recurrent unit (GRU) models and compared their performance. Results: The LSTM architecture achieved better performance in clusters with less variability in the number of cases, whereas the GRU presents better results in clusters with high variability. Although Diebold-Mariano testing suggested that both the LSTM and GRU performed comparably, GRU can be trained significantly faster, which could prove advantageous in practice. Conclusions: All models showed satisfactory accuracy and strong performance in predicting new cases of malaria, and each could serve as a supplemental tool to support regional policies and strategies.
DOI: 10.6084/m9.figshare.20443797
title: Medical treatment in pregnant women with subclinical hypothyroidism: systematic review and meta-analysis

description: Abstract Objectives: to determine the effectiveness of medical therapy in reducing complications associated with subclinical hypothyroidism during pregnancy. Methods: in 2021, a systematic review of available cohort studies was carried out in three databases, with no publication date limit. Study selection and data extraction were performed in duplicate. Random-effects meta-analysis was performed, and odds ratios were calculated, with the corresponding 95% confidence intervals. Cohort risk of bias was assessed using the Newcastle-Ottawa Scale (NOS). The certainty of the evidence was assessed using the GRADE methodology. Results: five studies were included for qualitative and quantitative synthesis. A statistically significant relationship was found between medical treatment in pregnant women with subclinical hypothyroidism with respect to spontaneous abortion (p=0.03; OR=0.77; CI95%=0.61-0.97), and no statistically significant relationship was found for delivery preterm (p=0.46; OR=1.11; CI95%=0.85-1.44), nor for abrupt placentae (p=0.56; OR=1.60; CI95%=0.33-7.66). Three studies were at moderate risk of bias, and two were at low risk of bias. In all the results the certainty was very low. Conclusions: medical treatment of subclinical hypothyroidism during pregnancy can have a beneficial effect in reducing cases of spontaneous abortion.
DOI: 10.6084/m9.figshare.20443802
title: Dietary valine requirement of tambaqui (Colossoma macropomum) with different body weights

description: ABSTRACT Tambaqui (Colossoma macropomum ) is one of the highly produced freshwater fish in Brazilian fish farming. However, its production efficiency associated with the refinement of diet formulations is limited due to a lack of information on nutritional requirements for certain essential amino acids such as valine. This study was designed to estimate the valine requirement of tambaqui having different body weights. A total of 720 juveniles were used in the feed trials. The first trial consisted of 360 fish with an average initial weight of 33.28 ±0.19 g, and the second trial comprised 360 fish (121.19 ±1.29 g). The trials consisted of dose-response experiments with five levels of valine (5.0, 7.0, 9.0, 11.0, and 13.0 g/kg diet) and four replicate tanks per treatment. The control diet was obtained by adding L-valine to the diet containing 5.0 g/kg diet (the first level of valine tested) to ensure it reached the diet containing 7.0 g/kg diet, corresponding to the second level tested. Analysis of variance, Dunnett’s test for comparison with the control diet, and regression analysis were performed. The results showed that the valine intake, weight gain, specific growth rate, and feed conversion ratio were significantly improved by the dietary valine (P &lt; 0.05) in both trials. Dietary levels of valine exerted quadratic effects on body protein, body fat, body protein deposition, and nitrogen retention efficiency of tambaqui with 33 g and 121 g as body fat deposition was affected by the dietary valine level only in tambaqui weighing 33 g. Quadratic regression analysis of body protein deposition data revealed the optimum dietary valine requirement of tambaqui (33.0 g-83.0 g) and (121.0 g-277.0 g) as 11.9 g/kg diet and 9.1 g/kg diet, respectively.
DOI: 10.6084/m9.figshare.20443802.v1
title: Dietary valine requirement of tambaqui (Colossoma macropomum) with different body weights

description: ABSTRACT Tambaqui (Colossoma macropomum ) is one of the highly produced freshwater fish in Brazilian fish farming. However, its production efficiency associated with the refinement of diet formulations is limited due to a lack of information on nutritional requirements for certain essential amino acids such as valine. This study was designed to estimate the valine requirement of tambaqui having different body weights. A total of 720 juveniles were used in the feed trials. The first trial consisted of 360 fish with an average initial weight of 33.28 ±0.19 g, and the second trial comprised 360 fish (121.19 ±1.29 g). The trials consisted of dose-response experiments with five levels of valine (5.0, 7.0, 9.0, 11.0, and 13.0 g/kg diet) and four replicate tanks per treatment. The control diet was obtained by adding L-valine to the diet containing 5.0 g/kg diet (the first level of valine tested) to ensure it reached the diet containing 7.0 g/kg diet, corresponding to the second level tested. Analysis of variance, Dunnett’s test for comparison with the control diet, and regression analysis were performed. The results showed that the valine intake, weight gain, specific growth rate, and feed conversion ratio were significantly improved by the dietary valine (P &lt; 0.05) in both trials. Dietary levels of valine exerted quadratic effects on body protein, body fat, body protein deposition, and nitrogen retention efficiency of tambaqui with 33 g and 121 g as body fat deposition was affected by the dietary valine level only in tambaqui weighing 33 g. Quadratic regression analysis of body protein deposition data revealed the optimum dietary valine requirement of tambaqui (33.0 g-83.0 g) and (121.0 g-277.0 g) as 11.9 g/kg diet and 9.1 g/kg diet, respectively.
DOI: 10.6084/m9.figshare.20443806
title: Development and validation of a tool for competence assessment of the insert of the intrauterine device

description: Abstract Objectives:. to develop and validate an instrument to assess the professional competence of nurses in the insertion of the intrauterine device (IUD) Methods: methodological study, developed in three stages: 1) tool development (Theoretical procedures); 2) evaluation of the tool by experts and judgment of the initially proposed items (Appearance validation and content validation); 3) test of the version resulting from the assessment by experts and assessment of internal consistency (Analytical procedures). Ten judges participated in the face and content validation, among obstetric nurses and gynecologists/obstetricians from the Sofa Feldman Hospital in Belo Horizonte (MG), while 38 nursing residency students were evaluated using the test tool, in the last stage of the study. Calculations of the Content Validity Index (CVI) and Cronbach’s alpha coefficient were performed as psychometric measures. Results: the initial tool covered 39 items. No item obtained CVI&lt;0.8; however, through suggestions from the judges, items were merged, totaling 34 items. The total Cronbach’s alpha coefficient for this version was 0.828. Conclusion: the tool developed is valid and reliable. It is believed that the implementation of this tool will contribute to the training of professionals and the improvement of knowledge, behaviors, and skills in nursing consultations with a focus on reproductive planning with an emphasis on the insertion of the IUD.
DOI: 10.6084/m9.figshare.20443806.v1
title: Development and validation of a tool for competence assessment of the insert of the intrauterine device

description: Abstract Objectives:. to develop and validate an instrument to assess the professional competence of nurses in the insertion of the intrauterine device (IUD) Methods: methodological study, developed in three stages: 1) tool development (Theoretical procedures); 2) evaluation of the tool by experts and judgment of the initially proposed items (Appearance validation and content validation); 3) test of the version resulting from the assessment by experts and assessment of internal consistency (Analytical procedures). Ten judges participated in the face and content validation, among obstetric nurses and gynecologists/obstetricians from the Sofa Feldman Hospital in Belo Horizonte (MG), while 38 nursing residency students were evaluated using the test tool, in the last stage of the study. Calculations of the Content Validity Index (CVI) and Cronbach’s alpha coefficient were performed as psychometric measures. Results: the initial tool covered 39 items. No item obtained CVI&lt;0.8; however, through suggestions from the judges, items were merged, totaling 34 items. The total Cronbach’s alpha coefficient for this version was 0.828. Conclusion: the tool developed is valid and reliable. It is believed that the implementation of this tool will contribute to the training of professionals and the improvement of knowledge, behaviors, and skills in nursing consultations with a focus on reproductive planning with an emphasis on the insertion of the IUD.
DOI: 10.6084/m9.figshare.20443812
title: Cloning, expression and antifungal effect of the recombinant chitinase from Streptomyces sampsonii KJ40

description: ABSTRACT: Streptomyces sampsonii is a kind of biocontrol bacterium with antifungal effects, and chitinase is one of the main antifungal substances. To improve and further study the structure and function of the chitinase gene of S. sampsonii, we amplified the target fragment by PCR, ligated the fragment to the expression vector pET-32a, introduced the resulting plasmid into Escherichia coli BL21 (DE3) and induced expression of the chitinase. Then, the recombinant chitinase was purified by is-labelled protein micro purification kit. A chitinase gene, Sschi61, was cloned from the genome and expressed in a prokaryote. The antifungal effect of the recombinant protein was also studied. Finally, the chitinase gene Sschi61 with a length of 1755 bp was obtained, and the expression of the 82 kDa recombinant chitinase was induced in E. coli by IPTG. The recombinant chitinase could inhibit the black spot pathogen of Eucommia ulmoides (Pestalotiopsis trachicarpicola). After the hyphae of the pathogen of black spot of Eucommia ulmoides (Pestalotiopsis trachicarpicola) were soaked with recombinant chitinase, the hyphae cells expanded, broke, and dissolved.