Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Thymoquinone loaded nanoemulgel in streptozotocin induced diabetic wound by Urati Anuradha (20306190)

“…</p> <p>In diabetic wound animal model nanoemulgel showed significant decreased levels of TNF-α, IL-6, MMP-9 and IL-1β. …”

Data Sheet 1_The impact of sublethal antimicrobial blue light on lipidomic changes of Escherichia coli and Salmonella Typhimurium.pdf by Jiaxin Wu (540397)

“…Notably, both strains demonstrated decreased unsaturated lipid intensity alongside increased malondialdehyde levels—a key oxidative stress marker. …”

Data Sheet 3_The impact of sublethal antimicrobial blue light on lipidomic changes of Escherichia coli and Salmonella Typhimurium.csv by Jiaxin Wu (540397)

“…Notably, both strains demonstrated decreased unsaturated lipid intensity alongside increased malondialdehyde levels—a key oxidative stress marker. …”

Data Sheet 2_The impact of sublethal antimicrobial blue light on lipidomic changes of Escherichia coli and Salmonella Typhimurium.csv by Jiaxin Wu (540397)

“…Notably, both strains demonstrated decreased unsaturated lipid intensity alongside increased malondialdehyde levels—a key oxidative stress marker. …”

Data Sheet 1_Alpine steppe vegetation communities are more sensitive to plateau pika disturbance than alpine meadows.docx by Rui Hua (127074)

“…</p>Results<p>The results showed that the alpine steppe was more sensitive to pika disturbance, with significant decreases in biomass, vegetation height, and coverage even at low disturbance levels. …”

Table 1_Effect of simulated acidification on soil properties and plant nutrient uptake of eggplant in greenhouse.docx by Tianqi Wang (4093009)

“…However, the levels of macro elements in the soil consistently decreased, while the concentrations of trace elements (Fe, Cu, Zn) increased with rising acidity; conversely, the levels of other trace elements (B, Mo, Mn) decreased. …”

Changes in the separation and spread of evidence distributions induced by energy, contrast, and variability manipulations. by Medha Shekhar (19502698)

“…For all experiments, increasing energy and contrast levels increases the separation between the two stimulus categories, while increasing variability decreases the separability between the two stimulus categories. …”

Table 1_Puf4 -mediated oxidative stress virulence attenuation in Cryptococcus neoformans.docx by Chenhao Suo (7022351)

“…Additionally, the Puf4-overexpressing strain showed elevated ROS levels, and reduced resistance to antimycin A, indicating decreased oxidative stress tolerance. …”

Supplementary Material for: Akkermansia muciniphila and Its Extracellular Vesicles affect endocannabinoid system in in vitro model by Noori P. (20563808)

“…A. muciniphila-derived EVs notably decreased the levels of inflammatory cytokines (TNF-α and IL-6), while increasing IL-10 expression at MOI 100 and an EV concentration of 100 μg/mL. …”

<b>Keystone taxa and microbial network complexity, rather than diversity, sustain soil multifunctionality along an elevational gradient in a subtropical karst mountain</b> by Weixue Luo (6070040)

“…Notably, the positive effects of network complexity and keystone taxa abundance on soil EMF decreased with increasing threshold levels of EMF, yet keystone taxa abundance retained a significant positive effect even at the highest threshold (75%). …”