cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21317637
title: leaf_carbon_allocation

description: data and code related to leaf carbon allocation
DOI: 10.6084/m9.figshare.21317637.v1
title: leaf_carbon_allocation

description: data and code related to leaf carbon allocation
DOI: 10.5281/zenodo.7574784
title: Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for CoastTrain water/other segmentation of RGB 768x768 orthomosaic images

description: <em><strong>Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for CoastTrain water/other segmentation of RGB 768x768 orthomosaic images</strong></em> These Residual-UNet model data are based on Coast Train images and associated labels. https://coasttrain.github.io/CoastTrain/docs/Version%201:%20March%202022/data Models have been created using Segmentation Gym* using the following dataset**: https://doi.org/10.1038/s41597-023-01929-2 Image size used by model: 768 x 768 x 3 pixels <em>classes:</em><br> 1. Water<br> 2. Other <em>File descriptions</em> For each model, there are 5 files with the same root name: 1. '.json' config file: this is the file that was used by Segmentation Gym* to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2. '.h5' weights file: this is the file that was created by the Segmentation Gym* function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym* function `seg_images_in_folder.py`. Models may be ensembled. 3. '_modelcard.json' model card file: this is a json file containing fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata so it is important to keep with the other files that collectively make the model and is such is considered part of the model 4. '_model_history.npz' model training history file: this numpy archive file contains numpy arrays describing the training and validation losses and metrics. It is created by the Segmentation Gym function `train_model.py` 5. '.png' model training loss and mean IoU plot: this png file contains plots of training and validation losses and mean IoU scores during model training. A subset of data inside the .npz file. It is created by the Segmentation Gym function `train_model.py` Additionally, BEST_MODEL.txt contains the name of the model with the best validation loss and mean IoU <em>References</em><br> *Segmentation Gym: Buscombe, D., & Goldstein, E. B. (2022). A reproducible and reusable pipeline for segmentation of geoscientific imagery. Earth and Space Science, 9, e2022EA002332. https://doi.org/10.1029/2022EA002332 See: https://github.com/Doodleverse/segmentation_gym **Buscombe, D., Wernette, P., Fitzpatrick, S. <em>et al.</em> A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments. <em>Sci Data</em> <strong>10</strong>, 46 (2023). https://doi.org/10.1038/s41597-023-01929-2
DOI: 10.5281/zenodo.7574783
title: Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for CoastTrain water/other segmentation of RGB 768x768 orthomosaic images

description: <em><strong>Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for CoastTrain water/other segmentation of RGB 768x768 orthomosaic images</strong></em> These Residual-UNet model data are based on Coast Train images and associated labels. https://coasttrain.github.io/CoastTrain/docs/Version%201:%20March%202022/data Models have been created using Segmentation Gym* using the following dataset**: https://doi.org/10.1038/s41597-023-01929-2 Image size used by model: 768 x 768 x 3 pixels <em>classes:</em><br> 1. Water<br> 2. Other <em>File descriptions</em> For each model, there are 5 files with the same root name: 1. '.json' config file: this is the file that was used by Segmentation Gym* to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2. '.h5' weights file: this is the file that was created by the Segmentation Gym* function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym* function `seg_images_in_folder.py`. Models may be ensembled. 3. '_modelcard.json' model card file: this is a json file containing fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata so it is important to keep with the other files that collectively make the model and is such is considered part of the model 4. '_model_history.npz' model training history file: this numpy archive file contains numpy arrays describing the training and validation losses and metrics. It is created by the Segmentation Gym function `train_model.py` 5. '.png' model training loss and mean IoU plot: this png file contains plots of training and validation losses and mean IoU scores during model training. A subset of data inside the .npz file. It is created by the Segmentation Gym function `train_model.py` Additionally, BEST_MODEL.txt contains the name of the model with the best validation loss and mean IoU <em>References</em><br> *Segmentation Gym: Buscombe, D., & Goldstein, E. B. (2022). A reproducible and reusable pipeline for segmentation of geoscientific imagery. Earth and Space Science, 9, e2022EA002332. https://doi.org/10.1029/2022EA002332 See: https://github.com/Doodleverse/segmentation_gym **Buscombe, D., Wernette, P., Fitzpatrick, S. <em>et al.</em> A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments. <em>Sci Data</em> <strong>10</strong>, 46 (2023). https://doi.org/10.1038/s41597-023-01929-2
DOI: 10.15151/esrf-es-1018313395
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of eight PIs at six different institutions in Italy and Austria. We focus on a large variety of human, bacterial, viral and synthetic protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.6084/m9.figshare.21971389
title: Diet Quality and Associated Factors in Atherosclerotic Cardiovascular Disease Patients with and without Diabetes at a Specialized Outpatient Clinic in the City of Pelotas, Brazil

description: Abstract Background In most cases, atherosclerotic cardiovascular disease (ACVD) is preventable through primary prevention and control of traditional risk factors, such as smoking cessation, regular physical activity, and adherence to healthy dietary patterns. The assessment of diet quality of ACVD patients would be important for a dietary intervention. Objectives This study aimed to evaluate diet quality of ACVD patients and its association with clinical conditions. Methods This cross-sectional study was nested within a randomized clinical trial entitled “Programa Alimentar Cardioprotetor Brasileiro.” Baseline data of 80 patients from Pelotas, Brazil, were obtained. Food consumption was assessed using 24-h food recall and the Revised Diet Quality Index (IQD-R). Data on smoking status and comorbidities were reported by the patients during medical history taking. To analyze the associations between IQD-R and clinical variables, unpaired Student’s t-test or the analysis of variance was performed. The significance level was 5%. Results Most of the sample consisted of men (66.5%), elderly individuals (52.50%), patients with hypertension (78.75%), dyslipidemia (58.75%), and overweight (73.75%). The average IQD-R score was 56.7 ± 12.6 points. Better quality of diet was observed for patients with diabetes compared to those without diabetes (61.1 ± 11.8 versus 54.0 ± 12.6 points; p=0.014). Conclusion There is a need to improve diet quality of ACVD patients. Patients ACVD and diabetes had better diet quality compared to those without diabetes.
DOI: 10.6084/m9.figshare.21971389.v1
title: Diet Quality and Associated Factors in Atherosclerotic Cardiovascular Disease Patients with and without Diabetes at a Specialized Outpatient Clinic in the City of Pelotas, Brazil

description: Abstract Background In most cases, atherosclerotic cardiovascular disease (ACVD) is preventable through primary prevention and control of traditional risk factors, such as smoking cessation, regular physical activity, and adherence to healthy dietary patterns. The assessment of diet quality of ACVD patients would be important for a dietary intervention. Objectives This study aimed to evaluate diet quality of ACVD patients and its association with clinical conditions. Methods This cross-sectional study was nested within a randomized clinical trial entitled “Programa Alimentar Cardioprotetor Brasileiro.” Baseline data of 80 patients from Pelotas, Brazil, were obtained. Food consumption was assessed using 24-h food recall and the Revised Diet Quality Index (IQD-R). Data on smoking status and comorbidities were reported by the patients during medical history taking. To analyze the associations between IQD-R and clinical variables, unpaired Student’s t-test or the analysis of variance was performed. The significance level was 5%. Results Most of the sample consisted of men (66.5%), elderly individuals (52.50%), patients with hypertension (78.75%), dyslipidemia (58.75%), and overweight (73.75%). The average IQD-R score was 56.7 ± 12.6 points. Better quality of diet was observed for patients with diabetes compared to those without diabetes (61.1 ± 11.8 versus 54.0 ± 12.6 points; p=0.014). Conclusion There is a need to improve diet quality of ACVD patients. Patients ACVD and diabetes had better diet quality compared to those without diabetes.
DOI: 10.15151/esrf-es-1023952449
title: Southampton, Bristol, Cardiff, Exeter, KCL, UCL Royal Free Block Allocation Group (BAG)

description: This BAG coordinates activities of groups from the South-West of the UK. The focus is on projects in Immunology, transcriptional regulation, and enzymology. A particular strength are the macromolecular complexes that several of the groups target. The activities in rational protein design (Bristol) and cancer immunology and enzyme mechanism (Southampton) are particular highlights. Cardiff is joining the bag as a new member. Please note comments in the report on COVID and sample shipment. Experimental work has been affected by Covid, which has reduced the output, and by travel restrictions. Further, we have had problems with loosing samples on transport as they were held up in customs, with three affected shipments. Due to these complexities Portsmouth have decided to leave the bag.
DOI: 10.15151/esrf-es-1022932247
title: Unfolding the role of local cation heterogeneities on the phase segregation and recovery in mixed-halide perovskites

description: Mixed-halide perovskites suffer from light-induced segregation, forming halide-rich domains with different bandgaps. Local techniques show local heterogeneities in the distribution of halides, which may lead to local strain that initiates halide segregation. It was found that the halide segregation kinetics also depend on the type of cation. Mixing cations reduces halide segregation but it remains unclear whether this is related to a relaxation of the strain. In this proposal, we will use time-resolved WAXS experiments to get insights on strain effects on phase segregation and recovery as function of cation composition. We will investigate the effect of pressure on the strain in mixed-cation perovskites, which was not reported before. Finally, although bulk techniques suggest full recovery of halide segregation, it is likely that some heterogeneities remain on local scale. Therefore, if the SAXS/WAXS is available, we will determine the local reversibility of halide segregation.
DOI: 10.6084/m9.figshare.21971392
title: Translanguaging practices in adult education for deaf migrants

description: ABSTRACT In the last decade, Sweden has received many deaf migrants with very diverse linguistic and educational backgrounds. When arriving in Sweden, they are expected to learn Swedish Sign Language (STS) and Swedish. For this study, we have used data from project Mulder, a four-year research project that aims to generate knowledge about deaf migrants’ multilingual situation in Sweden. The focus is on two folk high schools with programmes designated for deaf migrants. In this article, we describe how adult education for deaf migrants is organised in Sweden and examine how translanguaging practices are formed there. We found that translanguaging is a natural and common part of the multilingual classrooms, but also that the opportunities to translanguage depend highly on the individual’s repertoires and whether particular individuals have one or more languages in common or have a lingua franca. We also found that translanguaging is not always helpful in learning contexts if the teachers are not conscious and insightful when they mix languages.
DOI: 10.6084/m9.figshare.21971392.v1
title: Translanguaging practices in adult education for deaf migrants

description: ABSTRACT In the last decade, Sweden has received many deaf migrants with very diverse linguistic and educational backgrounds. When arriving in Sweden, they are expected to learn Swedish Sign Language (STS) and Swedish. For this study, we have used data from project Mulder, a four-year research project that aims to generate knowledge about deaf migrants’ multilingual situation in Sweden. The focus is on two folk high schools with programmes designated for deaf migrants. In this article, we describe how adult education for deaf migrants is organised in Sweden and examine how translanguaging practices are formed there. We found that translanguaging is a natural and common part of the multilingual classrooms, but also that the opportunities to translanguage depend highly on the individual’s repertoires and whether particular individuals have one or more languages in common or have a lingua franca. We also found that translanguaging is not always helpful in learning contexts if the teachers are not conscious and insightful when they mix languages.
DOI: 10.6084/m9.figshare.21971396
title: Deaf adult learners and their teacher: Knowledge construction and meaning-making through the lens of translanguaging and semiotic repertoires

description: ABSTRACT This article reports on a preliminary investigation into the language practices of three groups of deaf learners of English, all users of British Sign Language (BSL), and myself as their tutor in an adult education setting. These practices were explored through the lens of translanguaging, viewed as both a description of a linguistic process, and a theory of language, to learn more about how we draw on the totality of our resources to communicate and make meaning. The purpose of this investigation was to learn more about how BSL and English are used together in the same context and how that interplay works to our advantage. Additionally, consideration was also given to the contribution manually-coded English systems such as Sign Supported English (SSE) and Signed English (SE) make, together with the other written and sign languages, as well as gesture, enactment, pointing and other semiotic resources. Video recorded interactional data were collected from the classroom and supported by reflective notes and lesson plans. Both the video data, uploaded for analysis to ELAN, a multi-media annotation tool for creating time-aligned transcripts that supports a tier-based data model, and the written data corpus were examined using a thematic analysis. The findings revealed an illuminating picture of the interplay between languages, but also a movement beyond language as part of a broader semiotic repertoire to construct meaning in the classroom.
DOI: 10.6084/m9.figshare.21971396.v1
title: Deaf adult learners and their teacher: Knowledge construction and meaning-making through the lens of translanguaging and semiotic repertoires

description: ABSTRACT This article reports on a preliminary investigation into the language practices of three groups of deaf learners of English, all users of British Sign Language (BSL), and myself as their tutor in an adult education setting. These practices were explored through the lens of translanguaging, viewed as both a description of a linguistic process, and a theory of language, to learn more about how we draw on the totality of our resources to communicate and make meaning. The purpose of this investigation was to learn more about how BSL and English are used together in the same context and how that interplay works to our advantage. Additionally, consideration was also given to the contribution manually-coded English systems such as Sign Supported English (SSE) and Signed English (SE) make, together with the other written and sign languages, as well as gesture, enactment, pointing and other semiotic resources. Video recorded interactional data were collected from the classroom and supported by reflective notes and lesson plans. Both the video data, uploaded for analysis to ELAN, a multi-media annotation tool for creating time-aligned transcripts that supports a tier-based data model, and the written data corpus were examined using a thematic analysis. The findings revealed an illuminating picture of the interplay between languages, but also a movement beyond language as part of a broader semiotic repertoire to construct meaning in the classroom.
DOI: 10.6084/m9.figshare.21971404
title: Socioeconomic and ethnic-racial inequalities in childhood mortality in Mexico: how much does skin color matter?

description: Abstract The aim of this work is to analyze the impact of socio-economic and ethnic-racial characteristics in the likelihood of the death of a child before their fifth birthday. Using data from the Survey of Social Mobility in México ESRU-EMOVI 2017 of the Epinosa Yglesis Center for Studies, our results suggest that women with darker skin tone are 2.82 (1.39, 5.74) times more likely to have lost a child before their fifth birthday than women with white skin tone. These are the results after controlling for different birth cohorts, sociodemographic, territorial and socio-economic characteristics. In a counterfactual scenario, the probability of losing a child is explained by ethnic-racial characteristics up to 28.7%, and by socio-economic characteristics up to 58.5%. The loss of a child is a demographic event unequally distributed in the population, and determined not only by socio-economic characteristics, but also by ethnic and racial characteristics. The idea of miscegenation that proposes racial equality in the population in Mexico proves inaccurate and prevents the saving of lives.
DOI: 10.6084/m9.figshare.21971404.v1
title: Socioeconomic and ethnic-racial inequalities in childhood mortality in Mexico: how much does skin color matter?

description: Abstract The aim of this work is to analyze the impact of socio-economic and ethnic-racial characteristics in the likelihood of the death of a child before their fifth birthday. Using data from the Survey of Social Mobility in México ESRU-EMOVI 2017 of the Epinosa Yglesis Center for Studies, our results suggest that women with darker skin tone are 2.82 (1.39, 5.74) times more likely to have lost a child before their fifth birthday than women with white skin tone. These are the results after controlling for different birth cohorts, sociodemographic, territorial and socio-economic characteristics. In a counterfactual scenario, the probability of losing a child is explained by ethnic-racial characteristics up to 28.7%, and by socio-economic characteristics up to 58.5%. The loss of a child is a demographic event unequally distributed in the population, and determined not only by socio-economic characteristics, but also by ethnic and racial characteristics. The idea of miscegenation that proposes racial equality in the population in Mexico proves inaccurate and prevents the saving of lives.
DOI: 10.6084/m9.figshare.21971407
title: The Influence of Primary Atherosclerotic Diseases on the Occurrence of Secondary Disease

description: Abstract Background Atherosclerosis is a condition in which fats, cholesterol, fibrin, and other substances accumulate into plaque on the arterial walls. Plaque can harden and narrow the arteries, in turn limiting the blood flow and resulting in diseases, such as acute myocardial infarction (AMI), ischemic stroke (IS), or peripheral arterial disease (PAD). There is a fairly high risk of a secondary atherosclerotic event if patients are not treated after the primary episode. Objective To calculate the statistical probability of developing AMI, IS, or PAD after treating the primary disease. Methods Data for statistical probability studies included 507,690 patients with primary atherosclerotic disease, who were in treatment during the study period and who did or did not develop a secondary atherosclerotic disease event. Result Statistical probability data indicate that few AMI patients can develop IS (2.99%) or PAD (2.86%) as a secondary disease. Patients with primary diagnoses of IS showed a 5.07% risk of developing PAD and a 0.95% risk of developing AMI; however, PAD patients showed a higher probability for both AMI (9.17%) and IS (8.79%). Conclusion Secondary atherosclerotic disease episodes after IS, AMI, and PAD were confirmed by statistical probability and are consistent with data from the literature. The study revealed that a primary PAD event leads to high rates of secondary episodes, and special attention should be given to the diagnosis and treatment of PAD in order to decrease the occurrence of secondary events.
DOI: 10.6084/m9.figshare.21971407.v1
title: The Influence of Primary Atherosclerotic Diseases on the Occurrence of Secondary Disease

description: Abstract Background Atherosclerosis is a condition in which fats, cholesterol, fibrin, and other substances accumulate into plaque on the arterial walls. Plaque can harden and narrow the arteries, in turn limiting the blood flow and resulting in diseases, such as acute myocardial infarction (AMI), ischemic stroke (IS), or peripheral arterial disease (PAD). There is a fairly high risk of a secondary atherosclerotic event if patients are not treated after the primary episode. Objective To calculate the statistical probability of developing AMI, IS, or PAD after treating the primary disease. Methods Data for statistical probability studies included 507,690 patients with primary atherosclerotic disease, who were in treatment during the study period and who did or did not develop a secondary atherosclerotic disease event. Result Statistical probability data indicate that few AMI patients can develop IS (2.99%) or PAD (2.86%) as a secondary disease. Patients with primary diagnoses of IS showed a 5.07% risk of developing PAD and a 0.95% risk of developing AMI; however, PAD patients showed a higher probability for both AMI (9.17%) and IS (8.79%). Conclusion Secondary atherosclerotic disease episodes after IS, AMI, and PAD were confirmed by statistical probability and are consistent with data from the literature. The study revealed that a primary PAD event leads to high rates of secondary episodes, and special attention should be given to the diagnosis and treatment of PAD in order to decrease the occurrence of secondary events.