Increase in multiple-choice question scores pre- and post-VR operation. by Akihiro Kakimoto (343218)

AAPC of ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke in countries with increasing trends. by Juan Dong (342384)

Carbon isotopes. by Sarah J. Noe (19846136)

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Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Changes in ocular stress after wearing orthokeratology lenses. by Zhao-Yang Meng (18389630)

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The animation of tension changes after wearing orthokeratology lenses. by Zhao-Yang Meng (18389630)

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Significant associations in GWAS. by Dai Nogimura (21445649)

“…These significant associations could be explained by the change in downstream NO signaling, supporting the relationship between the investigated traits and vascular function. …”

Yearly crude rates stratified by age from 1999 to 2024 and by race from 1999 to 2020. by Tony Wong (779773)

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Changes in subcutaneous fat thickness and muscle mass (Approximately here). by Burhan Demirkıran (21601740)

Weights and body temperatures of bats assigned to the SOSV-MARV and KASV-MARV experimental cohorts. by Amy J. Schuh (8520354)

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Overexpression of <i>FBLN1</i> can inhibit ferroptosis in LPS-induced ALI. by Yaping Yuan (2734228)

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Knockdown of FBLN1 can promote ferroptosis in LPS-induced ALI. by Yaping Yuan (2734228)

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FBLN1 regulates ferroptosis by inhibiting TGF-β. by Yaping Yuan (2734228)

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FBLN1 inhibits ferroptosis by reducing intracellular free ferrous iron. by Yaping Yuan (2734228)

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Changes related to kidney staining in UUO mouse model. by Wencheng Jin (13136262)

The upper plots show the changes in ZMK for summer and autumn. by Peyman Karami (5909264)

“…The lower plots show significant increasing and decreasing trends for different biomes in Iran.…”

Probability density of farmers’ production and operation income in two cases. by Yin Liu (50073)

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FBLN1 regulates ferroptosis by reducing free ferrous iron by inhibiting TGF-β/Smad pathway. by Yaping Yuan (2734228)

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Ictogenic changes in input correlation and adaptation gains are associated with increased dynamical variability during baseline activity. by Scott Rich (9873638)

“…Plots are mean one SD over 25 independent 200 s simulations with <i>c</i> = .5. Ictogenic changes in each adaptation gain uniformly cause notable increases in the <i>U</i>_<i>i</i> SD relative to the default model, while the <i>U</i>_<i>e</i> Normalized SD tracks SLE susceptibility accurately for varying and .…”

Dynamical changes in the buffer population (<i>L</i> = 1023). by Ariel Burman (20329776)