Raw data 16–20. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Demographics, SD= Standard Deviation. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Raw data 6–9 and 15. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Raw data 1–5. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Raw data 10–14. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Coordination angle during running. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Gait retraining with biofeedback. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Coordination angle during walking. by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

Test apparatus. by Sara Hintze (3216885)

Characteristics of the study population. by Johannes Nairz (18010746)

“…MASLD was detected in 62 (4.8%) adolescents. CAP value showed a significant association with cfPWV in the unadjusted model (p < 0.001) but lost its significant influence in the multivariable model after adjusting for sex, age and cardiovascular risk criteria (increased BMI or waist circumference, impaired glucose metabolism, elevated blood pressure, elevated plasma triglycerides, and decreased HDL cholesterol; p = 0.540). …”

Study flow chart. by Johannes Nairz (18010746)

“…MASLD was detected in 62 (4.8%) adolescents. CAP value showed a significant association with cfPWV in the unadjusted model (p < 0.001) but lost its significant influence in the multivariable model after adjusting for sex, age and cardiovascular risk criteria (increased BMI or waist circumference, impaired glucose metabolism, elevated blood pressure, elevated plasma triglycerides, and decreased HDL cholesterol; p = 0.540). …”

Basic information and patient characteristics according to the report. by Xiaoling Zhong (181270)

A trend in discussions about the endemic blues and daily responsibilities. by Seoyoung Kim (2603596)

The distribution of fractional vegetation cover. by Desheng Xie (21439869)

The distribution of remote sensing ecological index. by Desheng Xie (21439869)

The distribution map of surface subsidence. by Desheng Xie (21439869)

Schematic diagram of the research area. by Desheng Xie (21439869)

The distribution map of flat spectral shape index. by Desheng Xie (21439869)

The raw data used in this study. by Yu Fu (16582)

“…</p><p>Conclusions</p><p>Taiwan continues to face greater challenges in managing HMs compared to mainland China. MM imposes a significant burden on the Chinese population. …”

Fig 3 - by Sara Hintze (3216885)