cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19934701
title: Physical activity in gestational trimesters and perinatal outcomes in SUS puerperal women

description: ABSTRACT OBJECTIVE Test the association between the practice of physical activity (PA) according to the gestational trimesters and the occurrence of cesarean delivery, prematurity, and low birth weight in puerperal women assisted in the Unified Health System of Santa Catarina, Brazil. METHODS A cross-sectional study was conducted with a probabilistic sample of puerperal women who gave birth in public maternity hospitals in Santa Catarina from January to August 2019. The cesarean delivery outcome was self-reported, and information on premature birth (&lt; 37 gestational weeks) and low birth weight (&lt; 2,500 grams) were obtained from medical records. The practice of PA during pregnancy and according to each trimester was self-reported. Multivariate Logistic Regression analyses and interviews with 3,580 puerperal women were carried out. RESULTS PA practice during any period of pregnancy was reported by 20.6% of the sample, with a gradual reduction in prevalence according to the gestational trimester (16.2%, 15.4%, and 12.8%). The highest prevalences of outcomes concerning the total sample were observed in puerperal women who did not practice PA in the third trimester, with 43.9% for cesarean delivery, 7.7% for low birth weight, and 5.5% for premature birth. The odds of cesarean delivery (OR = 1.40; 95%CI 1.10–1.76) and low birth weight (OR = 1.99; 95%CI 1.04–3.79) were, respectively, 40% and 99% higher among puerperal women who did not practice PA in the third trimester of pregnancy when compared to those who practiced PA. There was no association between PA practice and prematurity. CONCLUSION Puerperal women who did not practice PA in the third trimester of pregnancy were more likely to have cesarean delivery and low birth weight newborns.
DOI: 10.6084/m9.figshare.19934704.v1
title: Feeding practices and early weaning in the neonatal period: a cohort study

description: ABSTRACT OBJECTIVE To describe feeding practices and the risk factors for the mixed breastfeeding and early weaning in the neonatal period. METHODS Cohort study, which we collected socioeconomic, demographic, health care and feeding data from 415 mother/child binomials born in four public maternity hospitals in Natal/Brazil. They were followed-up at 48 hours, 7 and 28 days after birth. The association was established using Pearson’s Chi-square test and Poisson’s regression, after adjusting it to other variables. RESULTS The prevalence of mixed breastfeeding in the first 2 days was 47,2% and early weaning in 7 and 28 days was 8,4% and 16,2% in that order. The main reasons for mixed breastfeeding and early weaning were: colostrum deficiency (33.8%), difficulty in latching/sucking (23.5%) and “little milk” (70.0%). The use of formula/milk/porridge remained associated with maternal age ≤ 20 years (RR = 0.64; 95%CI: 0.47–0.86), age 20–29 years (RR = 0,70; 95%CI: 0,57–0,87), primiparity (RR = 1.37; 95%CI: 1.11–1.60) and cesarean delivery (RR = 1.20; 95%CI: 1.00–1.45) at 2 days; absence of paternal support (RR = 4.98; 95%CI: 2.54–9.79) and pacifier use (RR = 3.21; 95%CI: 1.63–6.32) at 7 days; and only pacifier use (RR = 2.48; 95%CI: 1.53–4.02) at 28 days. CONCLUSIONS Early weaning was associated with maternal and health care factors, thus suggesting the need to readjust good practices and educational actions to achieve the exclusive offer to the maternal breast in the neonatal period.
DOI: 10.6084/m9.figshare.19934707
title: Vaccination coverage against human papillomavirus (HPV) and associated factors in female academics from a university in southwestern Goiás, Brazil

description: ABSTRACT OBJECTIVE To check the coverage of the HPV vaccine in women enrolled in health courses at a university in southwest Goiás, Brazil, and the factors associated with vaccination. METHODS This is a cross-sectional study, including female university students of health courses, aged 18 years or more. A standardized and self-applying questionnaire was used. Participants who received two or more doses of the vaccine were considered immunized. Multiple analysis was performed using multinomial logistic regression. RESULT We observed that, of the 1510 participants, 473 (31.3%) had two or more doses of HPV vaccine, 167 (11.0%) one dose and 870 (57.6%) were unvaccinated. Participants under 21 years of age and in socioeconomic stratum A were 2 times more likely to have received two or more doses of the vaccine (Prevalence Ratio = 1.95; 95%CI 1.40–2.70 and Prevalence Ratio = 2.09; 95%CI 1.39–3.13, respectively). CONCLUSIONS The research revealed extensive possibility for interventions with the aim of achieving greater vaccination coverage among female university students. Even women with more knowledge and high economic stratum showed low vaccination coverage, suggesting that results of higher vaccine coverage can be obtained with vaccination carried out in a school environment.
DOI: 10.6084/m9.figshare.19934707.v1
title: Vaccination coverage against human papillomavirus (HPV) and associated factors in female academics from a university in southwestern Goiás, Brazil

description: ABSTRACT OBJECTIVE To check the coverage of the HPV vaccine in women enrolled in health courses at a university in southwest Goiás, Brazil, and the factors associated with vaccination. METHODS This is a cross-sectional study, including female university students of health courses, aged 18 years or more. A standardized and self-applying questionnaire was used. Participants who received two or more doses of the vaccine were considered immunized. Multiple analysis was performed using multinomial logistic regression. RESULT We observed that, of the 1510 participants, 473 (31.3%) had two or more doses of HPV vaccine, 167 (11.0%) one dose and 870 (57.6%) were unvaccinated. Participants under 21 years of age and in socioeconomic stratum A were 2 times more likely to have received two or more doses of the vaccine (Prevalence Ratio = 1.95; 95%CI 1.40–2.70 and Prevalence Ratio = 2.09; 95%CI 1.39–3.13, respectively). CONCLUSIONS The research revealed extensive possibility for interventions with the aim of achieving greater vaccination coverage among female university students. Even women with more knowledge and high economic stratum showed low vaccination coverage, suggesting that results of higher vaccine coverage can be obtained with vaccination carried out in a school environment.
DOI: 10.6084/m9.figshare.19934761
title: Women engaged in prostitution and COVID-19: why are they excluded from socially vulnerable groups?

description: ABSTRACT This study analyzed the exposure of women engaged in prostitution in downtown São Paulo to COVID-19. This cross-sectional study had a convenience sample selected in May 2021. We interviewed 219, mostly black, middle-aged, poor women with comorbidities. Among them, 61 had shown COVID-19 symptoms, 23, tested positive for the disease, seven underwent hospitalization, and four reported post-COVID-19 complications. Only 26 (30.2%) had been vaccinated. In addition to gender, race, and class inequalities, these women suffer both from a higher risk of contracting COVID-19 due to their working conditions and from the subsequent worsening of that disease due to age and lack of vaccination.
DOI: 10.6084/m9.figshare.19934761.v1
title: Women engaged in prostitution and COVID-19: why are they excluded from socially vulnerable groups?

description: ABSTRACT This study analyzed the exposure of women engaged in prostitution in downtown São Paulo to COVID-19. This cross-sectional study had a convenience sample selected in May 2021. We interviewed 219, mostly black, middle-aged, poor women with comorbidities. Among them, 61 had shown COVID-19 symptoms, 23, tested positive for the disease, seven underwent hospitalization, and four reported post-COVID-19 complications. Only 26 (30.2%) had been vaccinated. In addition to gender, race, and class inequalities, these women suffer both from a higher risk of contracting COVID-19 due to their working conditions and from the subsequent worsening of that disease due to age and lack of vaccination.
DOI: 10.6084/m9.figshare.19934777
title: 213444

description: Differential evolution algorithm
DOI: 10.6084/m9.figshare.19934777.v1
title: 213444

description: Differential evolution algorithm
DOI: 10.11583/dtu.14695590.v2
title: Magnetic field gradient tensor time series

description: CDF dataset contains 4-monthly time series of the magnetic field gradient tensor elements, the secular variation field gradient tensor elements, and their associated error estimates, all provided in a global grid of 300 Geomagnetic Virtual Observatories. <br><br>GVOs from Swarm satellite data:SW_OPER_GVOBS_4M_2_20140301T000000_20200301T000000_0201.cdf<br><br>GVOs from CHAMP satellite data:CH_OPER_GVOBS_4M_2_20010301T000000_20100701T000000_0201.cdf<br>The ReadMe.txt file provides details on the datasets and how these are made, version, changelog. In addition, the script GVOgradient_ex.ipynb provides a simple example of how to load and plot the CDF files in Python.<br>The algorithms used to derive the GVO gradient data products are explained in detail in the reference below.<br>Reference:Hammer, M. D, Finlay, C. C, and Olsen, N. (2021) 'Secular Variation Signals in Magnetic Field Gradient Tensor Elements derived from satellite-based Geomagnetic Virtual Observatories', submitted to GJI<br><br>
DOI: 10.34740/kaggle/dsv/3724414
title: YouTube Daily
DOI: 10.6084/m9.figshare.19933928
title: Questionnaire in English

description: Questionnaire used translated into English
DOI: 10.6084/m9.figshare.19933928.v1
title: Questionnaire in English

description: Questionnaire used translated into English
DOI: 10.6084/m9.figshare.19934633
title: A New Uncertain Remanufacturing Scheduling Model with Rework Risk Using Hybrid Optimization Algorithm

description: As a resource-conserving and environmental-friendly manufacturing paradigm, remanufacturing with the potential to realize sustainability in production has been extensively investigated. Scheduling plays a significant role in achieving the remanufacturing benefits. However, the remanufacturing process involves intricate uncertainties because it takes end-of-life products with different qualities as workblanks, which increases the risk of rework and complicates remanufacturing scheduling. Though the traditional stochastic optimization methods or fuzzy theory have been employed to address uncertainties in the remanufacturing scheduling problem, they are constrained with the limited historical data which renders it difficult to describe uncertainties accurately and intuitively. Therefore, a new uncertain remanufacturing scheduling model with rework risk is proposed, in which, the interval grey numbers are applied to describe the uncertainty clearly and consider the rework risk in remanufacturing process. To solve this model, a hybrid optimization algorithm that combines differential evolution and particle swarm optimization algorithms through an efficient representation scheme is proposed. Besides, this algorithm integrates multiple improvements to maintain the diversity of the population and enhance its performance. Simulation experiments are given, demonstrating that the proposed algorithm provides a better optimal solution than other baseline algorithms for solving the remanufacturing scheduling problem.
DOI: 10.6084/m9.figshare.19934633.v2
title: A New Uncertain Remanufacturing Scheduling Model with Rework Risk Using Hybrid Optimization Algorithm

description: As a resource-conserving and environmental-friendly manufacturing paradigm, remanufacturing with the potential to realize sustainability in production has been extensively investigated. Scheduling plays a significant role in achieving the remanufacturing benefits. However, the remanufacturing process involves intricate uncertainties because it takes end-of-life products with different qualities as workblanks, which increases the risk of rework and complicates remanufacturing scheduling. Though the traditional stochastic optimization methods or fuzzy theory have been employed to address uncertainties in the remanufacturing scheduling problem, they are constrained with the limited historical data which renders it difficult to describe uncertainties accurately and intuitively. Therefore, a new uncertain remanufacturing scheduling model with rework risk is proposed, in which, the interval grey numbers are applied to describe the uncertainty clearly and consider the rework risk in remanufacturing process. To solve this model, a hybrid optimization algorithm that combines differential evolution and particle swarm optimization algorithms through an efficient representation scheme is proposed. Besides, this algorithm integrates multiple improvements to maintain the diversity of the population and enhance its performance. Simulation experiments are given, demonstrating that the proposed algorithm provides a better optimal solution than other baseline algorithms for solving the remanufacturing scheduling problem.
DOI: 10.6084/m9.figshare.19934633.v1
title: A New Uncertain Remanufacturing Scheduling Model with Rework Risk Using Hybrid Optimization Algorithm

description: As a resource-conserving and environmental-friendly manufacturing paradigm, remanufacturing with the potential to realize sustainability in production has been extensively investigated. Scheduling plays a significant role in achieving the remanufacturing benefits. However, the remanufacturing process involves intricate uncertainties because it takes end-of-life products with different qualities as workblanks, which increases the risk of rework and complicates remanufacturing scheduling. Though the traditional stochastic optimization methods or fuzzy theory have been employed to address uncertainties in the remanufacturing scheduling problem, they are constrained with the limited historical data which renders it difficult to describe uncertainties accurately and intuitively. Therefore, a new uncertain remanufacturing scheduling model with rework risk is proposed, in which, the interval grey numbers are applied to describe the uncertainty clearly and consider the rework risk in remanufacturing process. To solve this model, a hybrid optimization algorithm that combines differential evolution and particle swarm optimization algorithms through an efficient representation scheme is proposed. Besides, this algorithm integrates multiple improvements to maintain the diversity of the population and enhance its performance. Simulation experiments are given, demonstrating that the proposed algorithm provides a better optimal solution than other baseline algorithms for solving the remanufacturing scheduling problem.
DOI: 10.6084/m9.figshare.19758820
title: Natural Products Raw Data

description: The data from a self-administered questionnaire. Include: Participant's demographics (age, gender, BMI, and education), comorbidities, and consumption of medicinal herbs and immune-boosting foods before infection with COVID-19. Furthermore, infection symptoms and admission to hospital data were gathered.
DOI: 10.6084/m9.figshare.19758820.v2
title: Natural Products Raw Data

description: The data from a self-administered questionnaire. Include: Participant's demographics (age, gender, BMI, and education), comorbidities, and consumption of medicinal herbs and immune-boosting foods before infection with COVID-19. Furthermore, infection symptoms and admission to hospital data were gathered.
DOI: 10.6084/m9.figshare.19758820.v1
title: Natural Products Raw Data

description: The data from a self-administered questionnaire. Include: Participant's demographics (age, gender, BMI, and education), comorbidities, and consumption of medicinal herbs and immune-boosting foods before infection with COVID-19. Furthermore, infection symptoms and admission to hospital data were gathered.
DOI: 10.5519/qd.ydzoy9du
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5169 records)
DOI: 10.5517/ccdc.csd.cc2bd812
title: CCDC 2156733: Experimental Crystal Structure Determination

description: Related Article: Samudra Amunugama, Eyram Asempa, Ramesh Chandra Tripathi, Dakshika Wanniarachchi, Habib Baydoun, Peter Hoffmann, Elena Jakubikova, Cláudio N. Verani|2022|Dalton Trans.|51|8425|doi:10.1039/D2DT00938B
DOI: 10.5281/zenodo.6597765
title: Facebook pages for parties in 2019 EU parliamentary elections

description: This dataset contains information about the parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections. For each party, we manually associated the corresponding Facebook page that ran the ads. We also report the PopuList tags as per https://popu-list.org. "2019 EU elections parties.csv" contains aggregate data: State: the country of the party Party: acronym of the party Name: extended name of the party Percentage: share of votes in the election Facebook page_name: name of the Facebook page that ran the ads Facebook page_id: id of the Facebook page that ran the ads populist: binary label indicating whether the party is populist according to PopuList farright: binary label indicating whether the party is far right according to PopuList farleft: binary label indicating whether the party is far left according to PopuList eurosceptic: binary label indicating whether the party is eurosceptic according to PopuList found on populist: binary label indicating whether the party is on any list on PopuList seat: whether the party got a seat in any previous national election (selection criterion from PopuList) "FB ads impressions cost populist demographic votes" contains detailed data: ad_id: Facebook ad id page_id: id of the Facebook page who published the ad page_name: name of the Facebook page who published the ad ad_creative_body: text of the ad ad_creative_*: other properties of the ad (caption, links, title) ad_delivery_start_time,ad_delivery_stop_time: time of beginning and end of the ad campaign funding_entity: declared party who financed the ad impressions_min, impressions_max: range of impressions for the ad spend_min, spend_max: range of expenditure for the ad ad_url: URL of the ad state: state of the party impression_mean, spend_mean: average number of impressions and expenditure imp_per_day: number of impressions per day populist, farright, farleft, eurosceptic, popu-list: binary tags from PopuList (refer to the description above) female_*, male_*, unknown_*: fraction of impressions for each demographic bucket (defined as gender_age) party: name of the party percentage: share of votes in the election
DOI: 10.5281/zenodo.6539202
title: Facebook pages for parties in 2019 EU parliamentary elections

description: This dataset contains information about the parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections. For each party, we manually associated the corresponding Facebook page that ran the ads. We also report the PopuList tags as per https://popu-list.org. "2019 EU elections parties.csv" contains aggregate data: State: the country of the party Party: acronym of the party Name: extended name of the party Percentage: share of votes in the election Facebook page_name: name of the Facebook page that ran the ads Facebook page_id: id of the Facebook page that ran the ads populist: binary label indicating whether the party is populist according to PopuList farright: binary label indicating whether the party is far right according to PopuList farleft: binary label indicating whether the party is far left according to PopuList eurosceptic: binary label indicating whether the party is eurosceptic according to PopuList found on populist: binary label indicating whether the party is on any list on PopuList seat: whether the party got a seat in any previous national election (selection criterion from PopuList) "FB ads impressions cost populist demographic votes" contains detailed data: ad_id: Facebook ad id page_id: id of the Facebook page who published the ad page_name: name of the Facebook page who published the ad ad_creative_body: text of the ad ad_creative_*: other properties of the ad (caption, links, title) ad_delivery_start_time,ad_delivery_stop_time: time of beginning and end of the ad campaign funding_entity: declared party who financed the ad impressions_min, impressions_max: range of impressions for the ad spend_min, spend_max: range of expenditure for the ad ad_url: URL of the ad state: state of the party impression_mean, spend_mean: average number of impressions and expenditure imp_per_day: number of impressions per day populist, farright, farleft, eurosceptic, popu-list: binary tags from PopuList (refer to the description above) female_*, male_*, unknown_*: fraction of impressions for each demographic bucket (defined as gender_age) party: name of the party percentage: share of votes in the election
DOI: 10.6084/m9.figshare.19935902
title: STORMS Checklist

description: STORMS Checklist of this study
DOI: 10.6084/m9.figshare.19935902.v1
title: STORMS Checklist

description: STORMS Checklist of this study
DOI: 10.15156/bio/sh1981628.08fu
title: SH1981628.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1981629.08fu
title: SH1981629.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.