Methodological flowchart. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? …”

Preference for the EIA vs. ETA across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? …”

Enteropathogen detection and fCal levels. by Muhammad Rehan (406524)

“…Samples positive for <i><i>Shigella</i></i> had significantly higher fCal than samples positive for rotavirus. …”

Supplementary file 1_IGF-1 secreted by mesenchymal stem cells affects the function of lymphatic endothelial progenitor cells: a potential strategy for the treatment of lymphedema.d... by Zekuan Xue (21398444)

“…After isolation of MSCs and LEPCs from the bone marrow of C57BL/6 J mice, in vitro experiments verified that insulin-like growth factor 1 (IGF-1) secreted by MSCs activated the PI3K/Akt/mTOR pathway to promote the proliferation of LEPCs; IGF-1 decreased the rate of apoptosis and affected the cycle progression of LEPCs and the nucleotide metabolism levels. …”

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). …”

Comparison curves of snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Comparison of simulation results. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Displacement vector diagram of snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

MDPC material parameters for snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Finite Element Model of Tire and Snow Runway. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Yield Function of the MDPC Model [24]. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”