Change in the ERCC1 secretion level in plasma(pg/ml). by Hao Deng (409186)

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S1 Data - by Hao Deng (409186)

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ASIR prediction from 2020 to 2030 by sex. by Majed M. Ramadan (22379116)

“…Bahrain also saw a significant increase in male Age-standardized death rate (ASDR), despite all other countries experiencing a decrease. …”

Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)

Study sample. by Nipaporn Butsing (19470003)

“…Additionally, stroke severity was inversely related to adjusted BI scores. One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.…”

Variability in performance and response to task dynamics. by Daniel Ramandi (10047543)

“…(E) When focusing on five consecutive successful trials, WT mice showed a significant reduction in trajectory variability, whereas zQ175 mice exhibited only a slight decrease, predominantly in the last trial, hinting at genotype-specific differences in optimizing performance following success (RM two-way ANOVA, genotype p = 0.746 F(1, 22) = 0.1074, trial p = 0.012 F(2.836, 62.38) = 4.045, interaction p = 0.018 F(3, 66) = 3.561). …”

Data Sheet 1_High humidity environment increases FBG by impairing the intestinal barrier.zip by Yao Wang (102387)

“…</p>Results<p>Clinical samples collected under HH conditions showed elevated FBG, increased glucagon (GC) levels, impaired intestinal barrier function, and decreased serum gamma-aminobutyric acid (GABA) concentrations. 16S rDNA sequencing revealed increased abundances of Alistipes, Parabacteroides, and Akkermansia. …”

Water footprint at regional levels in China. by Jianqin Ma (20328414)

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Characteristics of water footprint by sector at the regional level in China. by Jianqin Ma (20328414)

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Nitrate anomaly series. by Antonio Bode (1473376)

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Temperature, salinity and nitrate series. by Antonio Bode (1473376)

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Upwelling index series. by Antonio Bode (1473376)

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The distribution of water footprint levels in China. a, 2005. b, 2010. c, 2015. d, 2022. by Jianqin Ma (20328414)

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Environmental variables and δ¹⁵N of <i>M. galloprovincialis</i> for the different zones in 2023. by Antonio Bode (1473376)

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Reference δ¹⁵N values of nitrate from different sources. by Antonio Bode (1473376)

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Synergy and trade-offs of sectoral water use at the provincial level. by Jianqin Ma (20328414)

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Sampling locations. by Antonio Bode (1473376)

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Synergy and trade-offs of sectoral water use at the regional level in China. by Jianqin Ma (20328414)

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Environmental variables and δ¹⁵N of <i>Fucus</i> spp. and <i>Mytilus galloprovincialis</i> averaged for sampling zones and upwelling periods. by Antonio Bode (1473376)

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Decoupling index of water footprint and GDP at the regional level in China. by Jianqin Ma (20328414)

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