Prognostic Impact of Red Blood Cell-Platelet Ratio Trajectory Categories after PSM. by Jie Zhao (49409)

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Metabolic analysis of cecal contents. by Ye Cheng (513097)

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The red blood cell-platelet ratio affects prognosis. by Jie Zhao (49409)

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Red blood cell-platelet ratio and HR-restriction cube diagram during hospitalization. by Jie Zhao (49409)

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Impact of red blood cell-platelet ratio trajectories in the first four days before ICU admission on prognosis and clinical outcomes in the validation set. by Jie Zhao (49409)

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Different metabolite quantities between groups. by Ye Cheng (513097)

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Impact of red blood cell-platelet ratio trajectories on prognosis and clinical outcomes in the first four days before ICU admission in the training set. by Jie Zhao (49409)

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The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mild decrease in spinal cord diameter without any other lesions at first admission. by Hossein Pourmontaseri (19329565)

The sagittal view of T2-weighted Magnetic Resonance Imaging represented a mildly decreased spinal cord diameter without any other lesions at follow-up. by Hossein Pourmontaseri (19329565)

Map with color coding showing the relative risk of loss at the regional level for each country in Sub-Saharan Africa. by Beatrice T. Nganso (4114768)

Group control-after intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group SFA-before intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Lost cases. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group control-before intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Patient satisfaction with SFA intervention(%). by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Pre-Experiment. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group SFA-after intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

(A) Cost-effectiveness plane in healthcare system perspectives; (B) Cost-effectiveness acceptability curve in healthcare system perspectives; (C) Cost-effectiveness plane in societ... by Jae-Heung Cho (798319)

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Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”