cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22785505
title: Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19

description: Abstract Objective: To determinate the accuracy of computed tomography (CT) imaging assessed by deep neural networks for predicting the need for mechanical ventilation (MV) in patients hospitalized with severe acute respiratory syndrome due to coronavirus disease 2019 (COVID-19). Materials and Methods: This was a retrospective cohort study carried out at two hospitals in Brazil. We included CT scans from patients who were hospitalized due to severe acute respiratory syndrome and had COVID-19 confirmed by reverse transcriptionpolymerase chain reaction (RT-PCR). The training set consisted of chest CT examinations from 823 patients with COVID-19, of whom 93 required MV during hospitalization. We developed an artificial intelligence (AI) model based on convolutional neural networks. The performance of the AI model was evaluated by calculating its accuracy, sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve. Results: For predicting the need for MV, the AI model had a sensitivity of 0.417 and a specificity of 0.860. The corresponding area under the ROC curve for the test set was 0.68. Conclusion: The high specificity of our AI model makes it able to reliably predict which patients will and will not need invasive ventilation. That makes this approach ideal for identifying high-risk patients and predicting the minimum number of ventilators and critical care beds that will be required.
DOI: 10.6084/m9.figshare.22785505.v1
title: Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19

description: Abstract Objective: To determinate the accuracy of computed tomography (CT) imaging assessed by deep neural networks for predicting the need for mechanical ventilation (MV) in patients hospitalized with severe acute respiratory syndrome due to coronavirus disease 2019 (COVID-19). Materials and Methods: This was a retrospective cohort study carried out at two hospitals in Brazil. We included CT scans from patients who were hospitalized due to severe acute respiratory syndrome and had COVID-19 confirmed by reverse transcriptionpolymerase chain reaction (RT-PCR). The training set consisted of chest CT examinations from 823 patients with COVID-19, of whom 93 required MV during hospitalization. We developed an artificial intelligence (AI) model based on convolutional neural networks. The performance of the AI model was evaluated by calculating its accuracy, sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve. Results: For predicting the need for MV, the AI model had a sensitivity of 0.417 and a specificity of 0.860. The corresponding area under the ROC curve for the test set was 0.68. Conclusion: The high specificity of our AI model makes it able to reliably predict which patients will and will not need invasive ventilation. That makes this approach ideal for identifying high-risk patients and predicting the minimum number of ventilators and critical care beds that will be required.
DOI: 10.6084/m9.figshare.22785508
title: The use of numerical modelling to assess soil water dynamics in subsurface irrigation

description: ABSTRACT Knowledge of soil water dynamics is essential for establishing appropriate methods of irrigation management. Water dynamics in unsaturated soils is a complex process that can be explained by the Richards equation. As this is a non-linear differential equation, there is no analytical solution, but requires the use of the finite element method, for example, to obtain solutions, where simulations using numerical modelling make it possible to predict the the flow of water from the soil. As such, the aim of this study was to evaluate a 2D numerical model in simulating water distribution and wet bulb formation resulting from a subsurface irrigation system, in addition to validating the generated model. The Pearson correlation coefficient (r), the coefficient of determination (R2) and the root-mean-square error (RMSE) were calculated. For each treatment, both during and after irrigation, the model showed a small relative error, high values for R2 and a positive correlation with the field data. It was concluded that the model is applicable to the design and management of subsurface irrigation systems, varying the installation depth of the drip tube, the spacing between emitters and the soil moisture, giving good results for the various simulated scenarios.
DOI: 10.6084/m9.figshare.22785508.v1
title: The use of numerical modelling to assess soil water dynamics in subsurface irrigation

description: ABSTRACT Knowledge of soil water dynamics is essential for establishing appropriate methods of irrigation management. Water dynamics in unsaturated soils is a complex process that can be explained by the Richards equation. As this is a non-linear differential equation, there is no analytical solution, but requires the use of the finite element method, for example, to obtain solutions, where simulations using numerical modelling make it possible to predict the the flow of water from the soil. As such, the aim of this study was to evaluate a 2D numerical model in simulating water distribution and wet bulb formation resulting from a subsurface irrigation system, in addition to validating the generated model. The Pearson correlation coefficient (r), the coefficient of determination (R2) and the root-mean-square error (RMSE) were calculated. For each treatment, both during and after irrigation, the model showed a small relative error, high values for R2 and a positive correlation with the field data. It was concluded that the model is applicable to the design and management of subsurface irrigation systems, varying the installation depth of the drip tube, the spacing between emitters and the soil moisture, giving good results for the various simulated scenarios.
DOI: 10.17632/tnbwfw2pg2.1
title: Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region

description: Data repository for the publication "Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region"

Data format:
- for each mice, it contains a neuronIndividuals_new.mat, ConcatenatedNeuronRecording.avi, and behav.mat

neuronIndividuals_new.mat: 1x6 cell. 
- Each cell represent the CNMF-E extracted neuron data for the corresponding trial:
- C: denoised calcium data. Each row represent the calcium trace of a single neuron
- C_raw: un-denoised calcium data.
- S: deconvoluted calcium spike train. Each row represent the spike train of a single neuron
- A: neuron footprint. Each column represent the footprint of a single neuron, use reshape(A(:,i), 240,376) to resotre the footprint
- Coor: outer boundary of each individual neurons
- Cn: Original recording ROI enhanced by autocorrelation
- time: timestamp of calcium signal

behav.mat: 1x6 cell
- behavior data of each trial, corresponds to the neuronIndividuals_new.mat
- position: trajectory of mouse in trial
- time: timestamp of position 

background:
Hippocampal CA1 neuronal ensembles generate sequential patterns of firing activity that contribute to episodic memory formation and spatial cognition. Here we use in vivo calcium imaging to record neural ensemble activities in mouse hippocampal CA1 and identify CA1 excitatory neuron sub-populations whose members are active across the same second-long period of time.  We identified groups of hippocampal neurons sharing temporally correlated neural calcium activity during behavioral exploration, and found that they also organized as clusters in anatomical space.  Such clusters vary in membership and activity dynamics with respect to movement in different environments, but also appear during immobility in the dark suggesting an internal dynamic.  The strong covariance between dynamics and anatomical location within the CA1 sub-region reveals a previously unrecognized form of topographic representation in hippocampus that may guide generation of hippocampal sequences across time and therefore organize the content of episodic memory.
DOI: 10.17632/tnbwfw2pg2.2
title: Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region

description: Data repository for the publication "Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region"

*Fig_3_barrier is Ai163 mouse line with endogenous calcium fluorescence expression, all other datasets use AAV1-CaMKII-GCaMP6f-WPRE-SV40 to induce calcium fluorescence

Data format:
- for each mice, it contains a neuronIndividuals_new.mat, ConcatenatedNeuronRecording.avi, and behav.mat

neuronIndividuals_new.mat: 1x6 cell. 
- Each cell represent the CNMF-E extracted neuron data for the corresponding trial:
- C: denoised calcium data. Each row represent the calcium trace of a single neuron
- C_raw: un-denoised calcium data.
- S: deconvoluted calcium spike train. Each row represent the spike train of a single neuron
- A: neuron footprint. Each column represent the footprint of a single neuron, use reshape(A(:,i), 240,376) to resotre the footprint
- Coor: outer boundary of each individual neurons
- Cn: Original recording ROI enhanced by autocorrelation
- time: timestamp of calcium signal

behav.mat: 1x6 cell
- behavior data of each trial, corresponds to the neuronIndividuals_new.mat
- position: trajectory of mouse in trial
- time: timestamp of position 

background:
Hippocampal CA1 neuronal ensembles generate sequential patterns of firing activity that contribute to episodic memory formation and spatial cognition. Here we use in vivo calcium imaging to record neural ensemble activities in mouse hippocampal CA1 and identify CA1 excitatory neuron sub-populations whose members are active across the same second-long period of time.  We identified groups of hippocampal neurons sharing temporally correlated neural calcium activity during behavioral exploration, and found that they also organized as clusters in anatomical space.  Such clusters vary in membership and activity dynamics with respect to movement in different environments, but also appear during immobility in the dark suggesting an internal dynamic.  The strong covariance between dynamics and anatomical location within the CA1 sub-region reveals a previously unrecognized form of topographic representation in hippocampus that may guide generation of hippocampal sequences across time and therefore organize the content of episodic memory.
DOI: 10.17632/tnbwfw2pg2.3
title: Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region

description: Data repository for the publication "Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region"

*Fig_3_barrier is Ai163 mouse line with endogenous calcium fluorescence expression, all other datasets use AAV1-CaMKII-GCaMP6f-WPRE-SV40 to induce calcium fluorescence

Data format:
- for each mice, it contains a neuronIndividuals_new.mat, ConcatenatedNeuronRecording.avi, and behav.mat

neuronIndividuals_new.mat: 1x6 cell. 
- Each cell represent the CNMF-E extracted neuron data for the corresponding trial:
- C: denoised calcium data. Each row represent the calcium trace of a single neuron
- C_raw: un-denoised calcium data.
- S: deconvoluted calcium spike train. Each row represent the spike train of a single neuron
- A: neuron footprint. Each column represent the footprint of a single neuron, use reshape(A(:,i), 240,376) to resotre the footprint
- Coor: outer boundary of each individual neurons
- Cn: Original recording ROI enhanced by autocorrelation
- time: timestamp of calcium signal

behav.mat: 1x6 cell
- behavior data of each trial, corresponds to the neuronIndividuals_new.mat
- position: trajectory of mouse in trial
- time: timestamp of position 

background:
Hippocampal CA1 neuronal ensembles generate sequential patterns of firing activity that contribute to episodic memory formation and spatial cognition. Here we use in vivo calcium imaging to record neural ensemble activities in mouse hippocampal CA1 and identify CA1 excitatory neuron sub-populations whose members are active across the same second-long period of time.  We identified groups of hippocampal neurons sharing temporally correlated neural calcium activity during behavioral exploration, and found that they also organized as clusters in anatomical space.  Such clusters vary in membership and activity dynamics with respect to movement in different environments, but also appear during immobility in the dark suggesting an internal dynamic.  The strong covariance between dynamics and anatomical location within the CA1 sub-region reveals a previously unrecognized form of topographic representation in hippocampus that may guide generation of hippocampal sequences across time and therefore organize the content of episodic memory.
DOI: 10.17632/b6hkfvc67t.1
title: Data on the relationship of personality and integrity among Malaysian Government Employees

description: This folders contains three important files. The first one is in excel format. The excel file contains 3 sub files/ sheets. The first one is the raw data. The second one is the descriptive data that describes the background of the participants. The third one is the questionaires in Malay and english.  The second file contains raw data in SPSS and the output in SPSS. The third files contains the survery questionaire; the items are bilingual.
DOI: 10.17632/b6hkfvc67t.2
title: Data on the relationship of personality and integrity among Malaysian Government Employees

description: This folders contains three types of files. The first one is in excel format. The excel files consist of the raw data,  descriptive data that describes the background of the participants, correlation and  confirmatory Factor analysis outputs, and survey questionnaire in Malay and English.  The second file type contains raw data in SPSS and the output in SPSS. The third file type contains the survey questionnaire; the items are bilingual.
DOI: 10.17632/8r25jx8jg9.1
title: Video games: To motivate African American males to excel in the classroom

description: Observations of participants during group gameplay activities were conducted to obtain levels of peer collaboration and learning in a community. In addition, interviews provided essential data to understand what learning objectives were accomplished during gameplay activities and to get further insight into the participant's cognitive, emotional, behavioral, and motivational engagements.
DOI: 10.17632/p8kr3422pf.1
title: Data for Leaving Before the Party is Over: Evidence from News of Pharmaceutical Malpractice in Nigeria

description: These panel datasets uses proprietary publication data from the Elsevier Scopus database, but is made available in aggregated format at the individual-year level. 
The dataset "personleveldata_Nigeria_clean.dta" comprises publication histories of researchers affiliated with a Nigerian institution from the years 1993-2008. We use this dataset to compare outcomes in publication counts across Nigerian researchers before and after the WP news article (2000). Treated researchers are identified as those affiliated with an institution in a boycotting Nigerian state; control researchers are those who affiliate with an institution in a non-boycotting Nigerian state. 
The dataset "personleveldata_NigeriaGhana_clean.dta" comprises publication histories of researchers affiliated with a Nigerian or Ghanian institution from the years 1993-2008. We use this dataset in our robustness check analyses which include Ghanian Muslim states as a placebo group. Treated researchers are identified as those affiliated with an institution in a Muslim-majority Nigerian or Ghanian state; control researchers are those who affiliate with an institution in a non-Muslim Nigerian or Ghanian state.
DOI: 10.6084/m9.figshare.22785516
title: Soil carbon fractions in response to mineral and organic fertilizer types and rates

description: ABSTRACT The use of organic fertilizers from pig slurry and poultry litter can increase soil organic carbon and crop productivity. This study aimed to evaluate soil organic carbon fractions and corn yield after applying organic and mineral fertilizers. The experiment was conducted in the western region of Santa Catarina State, southern Brazil on a Nitossolo Vermelho Eutroférrico típico (Rhodic Kandiudox). The production system was an integrated crop-livestock using corn and soybean in the summer and black oat and rye with grazing by sheep in the winter. The experimental design was randomized blocks, with treatments in factorial 5 × 3 + 1, with four replications, five sources of fertilizers, three rates and the control with no fertilization. The treatments were three organic fertilizers: poultry litter, pig slurry and compost from pig slurry and two minerals fertilizer (M1 and M2). Mineral fertilizers were formulated from pig slurry (M1) and poultry litter (M2), with the application of three rates, which represent 75, 100 and 150 % of the recommendation for the crop, based on the element that is most demanding by the plant (K for soybeans and N for corn). Soil samples were collected at the layers of 0.00-0.05, 0.05-0.10 and 0.10-0.20 m in which fractions of total soil organic carbon (TOC), namely particulate (POC) and mineral-associated organic carbon (MAC) were determined. Corn yield was evaluated in the 2018/2019 and 2019/2020 seasons. The results were analyzed through analysis of variance to compare sources and polynomial regression analysis for fertilizer rates. The MAC fraction has a higher proportion of TOC and its contents were higher with increasing rates of organic and mineral fertilizers, mainly in the surface layer. Poultry litter and compost fertilizers increased TOC’s particulate fraction (POC), showing the highest levels at the highest fertilization recommendation rate. Organic and mineral fertilizers positively increase corn yield, and animal-derived fertilizers show that they can be an alternative for high crop yields.
DOI: 10.6084/m9.figshare.22785516.v1
title: Soil carbon fractions in response to mineral and organic fertilizer types and rates

description: ABSTRACT The use of organic fertilizers from pig slurry and poultry litter can increase soil organic carbon and crop productivity. This study aimed to evaluate soil organic carbon fractions and corn yield after applying organic and mineral fertilizers. The experiment was conducted in the western region of Santa Catarina State, southern Brazil on a Nitossolo Vermelho Eutroférrico típico (Rhodic Kandiudox). The production system was an integrated crop-livestock using corn and soybean in the summer and black oat and rye with grazing by sheep in the winter. The experimental design was randomized blocks, with treatments in factorial 5 × 3 + 1, with four replications, five sources of fertilizers, three rates and the control with no fertilization. The treatments were three organic fertilizers: poultry litter, pig slurry and compost from pig slurry and two minerals fertilizer (M1 and M2). Mineral fertilizers were formulated from pig slurry (M1) and poultry litter (M2), with the application of three rates, which represent 75, 100 and 150 % of the recommendation for the crop, based on the element that is most demanding by the plant (K for soybeans and N for corn). Soil samples were collected at the layers of 0.00-0.05, 0.05-0.10 and 0.10-0.20 m in which fractions of total soil organic carbon (TOC), namely particulate (POC) and mineral-associated organic carbon (MAC) were determined. Corn yield was evaluated in the 2018/2019 and 2019/2020 seasons. The results were analyzed through analysis of variance to compare sources and polynomial regression analysis for fertilizer rates. The MAC fraction has a higher proportion of TOC and its contents were higher with increasing rates of organic and mineral fertilizers, mainly in the surface layer. Poultry litter and compost fertilizers increased TOC’s particulate fraction (POC), showing the highest levels at the highest fertilization recommendation rate. Organic and mineral fertilizers positively increase corn yield, and animal-derived fertilizers show that they can be an alternative for high crop yields.
DOI: 10.6084/m9.figshare.22785517
title: Youth, dispositional heritage and situated learning: proposition of a theoretical model for research

description: Abstract This theoretical essay links the discussion between popular media, dispositional heritage, and situated learning, proposing a theoretical model for future research. It is suggested that the dispositional heritage of young people from popular backgrounds (inclinations, behaviors, and social practices) is forged from individual and contextual trajectories and implies the process of situated learning and socialization. The proposal contributes to understanding youth from a sociological perspective and social practices, unlike research conducted within the administration mainstream, which tends to focus on professional training and the insertion of young people into the job market based on organizational behavior. After connecting the concepts, a theoretical model is suggested that can guide empirical studies. Finally, some possibilities for conducting this research are presented.
DOI: 10.6084/m9.figshare.22785517.v1
title: Youth, dispositional heritage and situated learning: proposition of a theoretical model for research

description: Abstract This theoretical essay links the discussion between popular media, dispositional heritage, and situated learning, proposing a theoretical model for future research. It is suggested that the dispositional heritage of young people from popular backgrounds (inclinations, behaviors, and social practices) is forged from individual and contextual trajectories and implies the process of situated learning and socialization. The proposal contributes to understanding youth from a sociological perspective and social practices, unlike research conducted within the administration mainstream, which tends to focus on professional training and the insertion of young people into the job market based on organizational behavior. After connecting the concepts, a theoretical model is suggested that can guide empirical studies. Finally, some possibilities for conducting this research are presented.
DOI: 10.6084/m9.figshare.22785520
title: Organic osmolyte betaine mitigates the deleterious effects of Diclofenac in vivo in wistar albino rats

description: Abstract Diclofenac sodium (DF) is a non-steroidal anti-inflammatory drug (NSAID) that possesses antipyretic, analgesic, antinociceptive and anti-inflammatory activities. Like other NSAIDs, DF is known to be associated with renal, cardiovascular, and gastrointestinal complications. The present study was carried out to evaluate the adverse effects of DF in vivo in wistar albino rats and to assess if oral administration of the organic osmolyte betaine mitigates the adverse effect of DF. Eighteen male Wistar rats were divided into three groups, one group of animals was fed orally with 20 mg/kg of DF once/day, and the other group received a combination of 20 mg/kg of DF and 30 mg/kg of betaine, once/day. Apart from the hematological and biochemical parameters, histopathological changes in the liver, lungs, brain, heart and kidney were also investigated. Histopathological alterations that were found in the liver, kidney, and lungs of DF-treated animals were found to be minimal or absent in DF + betaine-treated animals, as compared to untreated control. The results showed that betaine mitigates the adverse effects associated with DF treatment.