Schematic diagram of monitoring points and units. by Jie Zhao (49409)

Model monitoring points and units coordinates. by Jie Zhao (49409)

A. Proportion of men with Low Semen Quality (LSQ) including 95% confidence interval (CI) versus prevalence, overall and for men on medication(s) (M); B: Point estimates with 95% CI... by P.G.J. ter Horst (21743830)

Layout plan of settlement monitoring points. by Yunke Liu (4839084)

Autophagic flux decreased in an age-dependent manner in the heart. by Julian M. Carosi (9407082)

MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

“…The Y-axis represents the fold change, while the X-axis indicates the significance of differential expression. The gray points represent miRNAs with no significant change (p < 0.05, false discovery rate (FDR) q < 0.05), while red and blue points indicate upregulated and downregulated miRNAs (p < 0.05, FDR q < 0.05), respectively. …”

A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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Aβ and vGlut2 staining of 6-, 9-, and 12-month dLGN sections show significant plaque load and accelerated loss of retinal ganglion cell axon terminals in the 5xFAD mice. by Shaylah McCool (20818280)

Source data - by Desheng Xie (21439869)

“…The results indicate that: 1) Vegetation cover in the affected regions decreased from 0.43 to 0.38 between 2017 and 2024, with Fire Zone 1 showing minimal recovery and Fire Zone 3 exhibiting moderate improvement, though the overall low vegetation area expanded due to ongoing fires; 2) The Remote Sensing Ecological Index (RSEI) declined from 0.41 to 0.38, with poor-rated areas increasing significantly, particularly in Fire Zone 3, reflecting the ongoing degradation of ecological conditions caused by both fire activity and climate factors; 3) The Flat Spectral Shape Index (FSSI) showed stability, but fluctuations in the areas with moderate and high probability of exposed coal, especially in Fire Zone 3, pointed to the expanding fire footprint and worsening ecological degradation; 4) Surface subsidence varied considerably, with Fire Zone 3 experiencing the most severe subsidence, indicating unstable geological conditions exacerbated by fire activity. …”

Selection of crossing point. by Yanchun Li (248761)

Raw data. by Saeedeh Abbasi (9423189)

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Mean (95% CI) and standard deviation of Lumbar Lordosis angle(˚) between two groups pre and post 60 minutes of standing. by Saeedeh Abbasi (9423189)

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Mean (95% CI) and standard deviation of VAS Score (mm) before & after intervention between two group during 1-houre standing. Intervention: using footrest with/without changing arm... by Saeedeh Abbasi (9423189)

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Data. by Saeedeh Abbasi (9423189)

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Co-Contraction index of right and left gluteus medius activity (MVC%) during 60 minutes standing (time- condition) between two groups (A: used the footrest intermittently, B: used... by Saeedeh Abbasi (9423189)

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