UCS texts data. by Na Zhao (112953)

“…The results indicate that: (1) the presence of pores prolongs both the time to failure and the onset of the AE burst stage, with longer durations observed at higher pore dip angles; (2) AE signal amplitude and frequency vary significantly across different loading stages, and the b-value exhibits an “increase–fluctuation–decrease” trend, with the decreasing stage serving as a precursor to rock instability; (3) pore dip angle strongly influences crack propagation types: dip angles of 0°–30° favor axial cracks and through-going wing cracks, 45°–75° angles tend to induce co-planar and wing crack connectivity, while 90° angles cause crack deviation, hindering through-going failure; (4) intact rock fails in a tensile–shear mixed mode, whereas the number of shear cracks in rocks with pores initially increases and then decreases with dip angle, reaching a maximum at 45°, resulting in shear-dominated failure. …”

Causes and consequences of long-term defaunation in multi-species aggregations: Species traits predict freshwater mussel declines and decreases in biogeochemical storage and recycl... by Jonathan Lopez (16993383)

Effect of contraction mode on pH. by Luke R. Arieta (10517126)

Effect of contraction mode on inorganic phosphate. by Luke R. Arieta (10517126)

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

“…Generally speaking, there is no clear linear relationship between scores and the other variables. 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)

“…Generally speaking, there is no clear linear relationship between scores and the other variables. 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.…”

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…In phase 2, EQ-5D-5L summary improved most in participants with higher education levels and longer recovery expectations; EQ-VAS improved most in cyclists and patients with longer recovery expectations.…”

The model in which the PoFbx23 is required in activating PoAce1 to control the expression of target genes. by Zhongjiao Liu (11877464)

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Data that underlies the TAP-MS of three Ace1-TAP samples. by Zhongjiao Liu (11877464)

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Data that underlies the ChIP-qPCR in this paper. by Zhongjiao Liu (11877464)

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The results of TAP-MS using transcription factor PoAce1 as bait. by Zhongjiao Liu (11877464)

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The top proteins interacting with PoAce1 identified through TAP-MS. by Zhongjiao Liu (11877464)

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Ubiquitination of PoAce1 and effect of proteasome inhibitor MG132 on PoAce1. by Zhongjiao Liu (11877464)

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The result of TAP-MS using PoAce1 as the bait. by Zhongjiao Liu (11877464)

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The interaction between PoFbx23A and PoAce1. by Zhongjiao Liu (11877464)

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The phenotype of the Δ<i>ace1</i> and (hemi)cellulase production of various mutants. by Zhongjiao Liu (11877464)

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Subcellular localization of PoFbx23A and PoAce1. by Zhongjiao Liu (11877464)

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PoAce1 enrichment in the specific regions of (hemi)cellulase genes assayed by ChIP-qPCR. by Zhongjiao Liu (11877464)

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Saturation analysis of transcriptome data for the WT and Δ<i>fbx23</i>. by Zhongjiao Liu (11877464)

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Construction strategies for GFP strains Ace1/Fbx23-GFP and BiFC strain Ace1-YFP-Fbx23. by Zhongjiao Liu (11877464)

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