cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22331455
title: Supplementary Material for: Non-pharmacological Interventions to Improve Physical Function in Patients with End-stage Renal Disease: A Network Meta-analysis

description: Introduction: Chronic kidney disease is estimated to become the fifth leading cause of death globally by 2040. Due to the high incidence of fatigue in patients with end-stage renal disease without reliable pharmacological treatments, more and more studies on non-pharmacological interventions to improve physical function appear, which might be the best approach, unknown. This study aims to compare and rank the efficacy of all known non-pharmacological interventions on improving physical function from multiple outcomes for adults with end-stage renal disease. Methods: This systematic review and network meta-analysis included searches of PubMed, Embase, CINAHL, and Cochrane Library from inception to September 1, 2022, for randomized controlled trials of non-pharmacological interventions to improve physical function in adults with end-stage renal disease. Literature screening, data extraction, and quality appraisal were performed systematically by two independent reviewers. The frequentist random-effect network meta-analysis was adopted to pool the evidence from five outcomes, namely 6-minute walk test, handgrip strength, knee extension strength, physical component summary, and mental component summary, respectively. Results: A total of 1921 citations were identified by this search, of which 44 eligible trials enrolled 2250 participants, and 16 interventions were identified. All subsequent figures refer to comparisons with usual care. For increasing walking distance, the combined resistance and aerobic exercise with virtual reality or music were the most effective interventions, with a mean difference plus 95% confidence interval of 90.69 (8.92 to 172.46) and 92.59 (23.13 to 162.06), respectively. Resistance exercise with blood flow restriction (8.13, 0.09 to 16.17) was the best treatment to improve handgrip strength. Combined resistance and aerobic exercise (11.93, 3.63 to 20.29) and whole-body vibration (6.46, 1.71 to 11.20) were associated with improving knee extension strength. For life quality, all treatment effects did not show statistically significant differences. Conclusions: It was found via network meta-analysis that combined resistance and aerobic exercise is the most effective intervention. Besides, if virtual reality or music is added to the training, there will be better results. Resistance exercise with blood flow restriction and whole-body vibration might be good alternative treatments for improving muscle strength. None of the interventions improved quality of life, suggesting a need for alternative interventions in this regard. The results of this study contribute evidence-based data to decision-making.
DOI: 10.6084/m9.figshare.22331455.v1
title: Supplementary Material for: Non-pharmacological Interventions to Improve Physical Function in Patients with End-stage Renal Disease: A Network Meta-analysis

description: Introduction: Chronic kidney disease is estimated to become the fifth leading cause of death globally by 2040. Due to the high incidence of fatigue in patients with end-stage renal disease without reliable pharmacological treatments, more and more studies on non-pharmacological interventions to improve physical function appear, which might be the best approach, unknown. This study aims to compare and rank the efficacy of all known non-pharmacological interventions on improving physical function from multiple outcomes for adults with end-stage renal disease. Methods: This systematic review and network meta-analysis included searches of PubMed, Embase, CINAHL, and Cochrane Library from inception to September 1, 2022, for randomized controlled trials of non-pharmacological interventions to improve physical function in adults with end-stage renal disease. Literature screening, data extraction, and quality appraisal were performed systematically by two independent reviewers. The frequentist random-effect network meta-analysis was adopted to pool the evidence from five outcomes, namely 6-minute walk test, handgrip strength, knee extension strength, physical component summary, and mental component summary, respectively. Results: A total of 1921 citations were identified by this search, of which 44 eligible trials enrolled 2250 participants, and 16 interventions were identified. All subsequent figures refer to comparisons with usual care. For increasing walking distance, the combined resistance and aerobic exercise with virtual reality or music were the most effective interventions, with a mean difference plus 95% confidence interval of 90.69 (8.92 to 172.46) and 92.59 (23.13 to 162.06), respectively. Resistance exercise with blood flow restriction (8.13, 0.09 to 16.17) was the best treatment to improve handgrip strength. Combined resistance and aerobic exercise (11.93, 3.63 to 20.29) and whole-body vibration (6.46, 1.71 to 11.20) were associated with improving knee extension strength. For life quality, all treatment effects did not show statistically significant differences. Conclusions: It was found via network meta-analysis that combined resistance and aerobic exercise is the most effective intervention. Besides, if virtual reality or music is added to the training, there will be better results. Resistance exercise with blood flow restriction and whole-body vibration might be good alternative treatments for improving muscle strength. None of the interventions improved quality of life, suggesting a need for alternative interventions in this regard. The results of this study contribute evidence-based data to decision-making.
DOI: 10.6084/m9.figshare.22331461
title: Supplementary Material for: Non-pharmacological Interventions to Improve Physical Function in Patients with End-stage Renal Disease: A Network Meta-analysis

description: Introduction: Chronic kidney disease is estimated to become the fifth leading cause of death globally by 2040. Due to the high incidence of fatigue in patients with end-stage renal disease without reliable pharmacological treatments, more and more studies on non-pharmacological interventions to improve physical function appear, which might be the best approach, unknown. This study aims to compare and rank the efficacy of all known non-pharmacological interventions on improving physical function from multiple outcomes for adults with end-stage renal disease. Methods: This systematic review and network meta-analysis included searches of PubMed, Embase, CINAHL, and Cochrane Library from inception to September 1, 2022, for randomized controlled trials of non-pharmacological interventions to improve physical function in adults with end-stage renal disease. Literature screening, data extraction, and quality appraisal were performed systematically by two independent reviewers. The frequentist random-effect network meta-analysis was adopted to pool the evidence from five outcomes, namely 6-minute walk test, handgrip strength, knee extension strength, physical component summary, and mental component summary, respectively. Results: A total of 1921 citations were identified by this search, of which 44 eligible trials enrolled 2250 participants, and 16 interventions were identified. All subsequent figures refer to comparisons with usual care. For increasing walking distance, the combined resistance and aerobic exercise with virtual reality or music were the most effective interventions, with a mean difference plus 95% confidence interval of 90.69 (8.92 to 172.46) and 92.59 (23.13 to 162.06), respectively. Resistance exercise with blood flow restriction (8.13, 0.09 to 16.17) was the best treatment to improve handgrip strength. Combined resistance and aerobic exercise (11.93, 3.63 to 20.29) and whole-body vibration (6.46, 1.71 to 11.20) were associated with improving knee extension strength. For life quality, all treatment effects did not show statistically significant differences. Conclusions: It was found via network meta-analysis that combined resistance and aerobic exercise is the most effective intervention. Besides, if virtual reality or music is added to the training, there will be better results. Resistance exercise with blood flow restriction and whole-body vibration might be good alternative treatments for improving muscle strength. None of the interventions improved quality of life, suggesting a need for alternative interventions in this regard. The results of this study contribute evidence-based data to decision-making.
DOI: 10.6084/m9.figshare.22331461.v1
title: Supplementary Material for: Non-pharmacological Interventions to Improve Physical Function in Patients with End-stage Renal Disease: A Network Meta-analysis

description: Introduction: Chronic kidney disease is estimated to become the fifth leading cause of death globally by 2040. Due to the high incidence of fatigue in patients with end-stage renal disease without reliable pharmacological treatments, more and more studies on non-pharmacological interventions to improve physical function appear, which might be the best approach, unknown. This study aims to compare and rank the efficacy of all known non-pharmacological interventions on improving physical function from multiple outcomes for adults with end-stage renal disease. Methods: This systematic review and network meta-analysis included searches of PubMed, Embase, CINAHL, and Cochrane Library from inception to September 1, 2022, for randomized controlled trials of non-pharmacological interventions to improve physical function in adults with end-stage renal disease. Literature screening, data extraction, and quality appraisal were performed systematically by two independent reviewers. The frequentist random-effect network meta-analysis was adopted to pool the evidence from five outcomes, namely 6-minute walk test, handgrip strength, knee extension strength, physical component summary, and mental component summary, respectively. Results: A total of 1921 citations were identified by this search, of which 44 eligible trials enrolled 2250 participants, and 16 interventions were identified. All subsequent figures refer to comparisons with usual care. For increasing walking distance, the combined resistance and aerobic exercise with virtual reality or music were the most effective interventions, with a mean difference plus 95% confidence interval of 90.69 (8.92 to 172.46) and 92.59 (23.13 to 162.06), respectively. Resistance exercise with blood flow restriction (8.13, 0.09 to 16.17) was the best treatment to improve handgrip strength. Combined resistance and aerobic exercise (11.93, 3.63 to 20.29) and whole-body vibration (6.46, 1.71 to 11.20) were associated with improving knee extension strength. For life quality, all treatment effects did not show statistically significant differences. Conclusions: It was found via network meta-analysis that combined resistance and aerobic exercise is the most effective intervention. Besides, if virtual reality or music is added to the training, there will be better results. Resistance exercise with blood flow restriction and whole-body vibration might be good alternative treatments for improving muscle strength. None of the interventions improved quality of life, suggesting a need for alternative interventions in this regard. The results of this study contribute evidence-based data to decision-making.
DOI: 10.34740/kaggle/dsv/5226181
title: AutoXGB
DOI: 10.6084/m9.figshare.22298494
title: Novel Surface Modification Route for Highly Stable Li Anodes of Li Metal Batteries

description: The Li metal is an ideal anode material owing to its high theoretical specific capacity and low electrode potential. However, its high reactivity and dendritic growth in carbonate-based electrolytes limit its application. To address these issues, we propose a novel surface modification technique using heptafluorobutyric acid. In-situ spontaneous reaction between Li and the organic acid generates a lithiophilic interface of lithium heptafluorobutyrate for dendrite-free uniform Li deposition, which significantly improves the cycle stability (Li/Li symmetric cells &gt;1200 h at 1.0 mA cm-2) and coulombic efficiency (Li efficiency &gt;99.3%) in conventional carbonate-based electrolytes. This lithiophilic interface also enables full batteries to achieve 83.2% capacity retention over 300 cycles under realistic testing condition. Lithium heptafluorobutyrate interface acts as an electrical bridge for uniform lithium-ion flux between Li anode and plating Li, which minimizes the occurrence of tortuous lithium dendrites and lowers interface impedance.
DOI: 10.6084/m9.figshare.22298494.v2
title: Novel Surface Modification Route for Highly Stable Li Anodes of Li Metal Batteries

description: The Li metal is an ideal anode material owing to its high theoretical specific capacity and low electrode potential. However, its high reactivity and dendritic growth in carbonate-based electrolytes limit its application. To address these issues, we propose a novel surface modification technique using heptafluorobutyric acid. In-situ spontaneous reaction between Li and the organic acid generates a lithiophilic interface of lithium heptafluorobutyrate for dendrite-free uniform Li deposition, which significantly improves the cycle stability (Li/Li symmetric cells &gt;1200 h at 1.0 mA cm-2) and coulombic efficiency (Li efficiency &gt;99.3%) in conventional carbonate-based electrolytes. This lithiophilic interface also enables full batteries to achieve 83.2% capacity retention over 300 cycles under realistic testing condition. Lithium heptafluorobutyrate interface acts as an electrical bridge for uniform lithium-ion flux between Li anode and plating Li, which minimizes the occurrence of tortuous lithium dendrites and lowers interface impedance.
DOI: 10.6084/m9.figshare.22298494.v1
title: Novel Surface Modification Route for Highly Stable Li Anodes of Li Metal Batteries

description: The Li metal is an ideal anode material owing to its high theoretical specific capacity and low electrode potential. However, its high reactivity and dendritic growth in carbonate-based electrolytes limit its application. To address these issues, we propose a novel surface modification technique using heptafluorobutyric acid. In-situ spontaneous reaction between Li and the organic acid generates a lithiophilic interface of lithium heptafluorobutyrate for dendrite-free uniform Li deposition, which significantly improves the cycle stability (Li/Li symmetric cells &gt;1200 h at 1.0 mA cm-2) and coulombic efficiency (Li efficiency &gt;99.3%) in conventional carbonate-based electrolytes. This lithiophilic interface also enables full batteries to achieve 83.2% capacity retention over 300 cycles under realistic testing condition. Lithium heptafluorobutyrate interface acts as an electrical bridge for uniform lithium-ion flux between Li anode and plating Li, which minimizes the occurrence of tortuous lithium dendrites and lowers interface impedance.
DOI: 10.5281/zenodo.7725139
title: Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2021.9-2021.12)

description: This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). This is the LST&E dataset in 2021.09-2021.12 <strong>Dataset Characteristics:</strong> Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E) Temporal Coverage: 2021.09-2021.12 Spatial Resolution: 0.02 ° Temporal Resolution: one hour Projection: GCS_WGS_1984 Data Format: NetCDF <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. <em>IEEE Transactions on Geoscience and Remote Sensing, 58</em>, 7105-7124 Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. <em>IEEE Geoscience and Remote Sensing Letters, 10</em>, 401-40 If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.7725140
title: Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2021.9-2021.12)

description: This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). This is the LST&E dataset in 2021.09-2021.12 <strong>Dataset Characteristics:</strong> Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E) Temporal Coverage: 2021.09-2021.12 Spatial Resolution: 0.02 ° Temporal Resolution: one hour Projection: GCS_WGS_1984 Data Format: NetCDF <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. <em>IEEE Transactions on Geoscience and Remote Sensing, 58</em>, 7105-7124 Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. <em>IEEE Geoscience and Remote Sensing Letters, 10</em>, 401-40 If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.7765255
title: Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2021.9-2021.12)

description: This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). This is the LST&E dataset in 2021.09-2021.12 <strong>Dataset Characteristics:</strong> Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E) Temporal Coverage: 2021.09-2021.12 Spatial Resolution: 0.02 ° Temporal Resolution: one hour Projection: GCS_WGS_1984 Data Format: NetCDF <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. <em>IEEE Transactions on Geoscience and Remote Sensing, 58</em>, 7105-7124 Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. <em>IEEE Geoscience and Remote Sensing Letters, 10</em>, 401-40 If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.15151/esrf-es-1061154825
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.5281/zenodo.7274260
title: Svalbox-DOM_2021-0055

description: <b>Model description: </b><br>Digital model of the ice cave in Passfjellbreen glacier, in Nordenskiöld Land.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br>Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on Svalbox.no:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.
DOI: 10.5281/zenodo.7274259
title: Svalbox-DOM_2021-0055

description: <b>Model description: </b><br>Digital model of the ice cave in Passfjellbreen glacier, in Nordenskiöld Land.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br>Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on Svalbox.no:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.