Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Supplementary file 1_The role of micro-CT in breast cancer management: a systematic review on the clinical applications of micro-CT in breast cancer and a diagnostic accuracy meta-... by Seyed Mostafa Meshkati Yazd (15198320)

“…Micro-computed tomography (micro-CT) has already exhibited clinical value, yielding high-resolution three-dimensional (3D) volumetric images. …”

Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc by Huihui Xu (778437)

“…However, whether different ROIs directly affect the results of quantitative micro-CT-based microarchitectural data is still unknown. …”

Methodological flowchart for this study, generated in Microsoft Office Word 2023 (https://www.microsof.com). by Abdolhossein Boali (19996390)

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Investigating the trend of land use class changes. by Abdolhossein Boali (19996390)

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Wind erosion monitoring during the 15 years (2008–2023) using the ensemble model, generated in the ArcGIS 10.7.1 software (www.esri.com) and R 4.3.2 software (www.r-project.org). by Abdolhossein Boali (19996390)

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Fig 5 - by Abdolhossein Boali (19996390)

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Importance of variables in the study area in 2023, generated in the R 4.3.2 software (www.r-project.org) and Microsoft Office Excel 2023 (https://www.microsof.com). by Abdolhossein Boali (19996390)

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The maps illustrating wind erosion in northeastern Iran for 2008 and 2023, generated using various models from the SDM package. by Abdolhossein Boali (19996390)

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Fig 8 - by Abdolhossein Boali (19996390)

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Field-based data for spatio-temporal wind erosion risk analysis. by Abdolhossein Boali (19996390)

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The selection of indicators based on their correlation with ground surface data. by Abdolhossein Boali (19996390)

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Fig 4 - by Abdolhossein Boali (19996390)

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Spatio-temporal data mining modeling for wind erosion risk assessment. by Abdolhossein Boali (19996390)

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Performance evaluation of models based on various indicators in 2008 and 2023. by Abdolhossein Boali (19996390)

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Fig 1 - by Abdolhossein Boali (19996390)

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Performance evaluation of ensemble model based on various indicators in 2008 and 2023. by Abdolhossein Boali (19996390)

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S1 File - by Chantelle M. de Vet (16535257)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”