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. …”

Data Sheet 1_Integrated transcriptome and co-expression network analysis revealed the molecular mechanism of cold tolerance in japonica rice at booting stage.zip by Jiaqi Wang (369548)

“…</p>Results<p>The results demonstrated that cold stress significantly decreased yield traits, particularly seed-setting rate—a reliable cold tolerance indicator. …”

Data Sheet 1_Spatial and temporal variability in blue carbon accumulation in the largest salt marsh in British Columbia, Canada.docx by Karen E. Kohfeld (11936879)

“…However, large spatial variability exists, with significantly lower average CARs in the east (35 ± 11 g C m^-2 yr^-1). …”

Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces by Reza Arabsheibani (14244716)

“…Our results show that RL agents successfully learn to navigate even with incomplete instructions, significantly outperforming random agents. Agents trained on diverse environments generalize well to novel settings, although performance decreases with higher environmental complexity and finer-grained instruction grammars when instructions are incomplete. …”

Data Sheet 1_Daily online adaptation enhances target coverage in prostate cancer radiotherapy: a retrospective analysis.pdf by Hanna Malygina (22545980)

“…This study presents a quantitative comparison between adapted and non-adapted scheduled plans with identical margins in a real-world clinical setting.</p>Methods<p>We retrospectively analyzed 422 fractions from 43 patients with prostate cancer treated with the Varian Ethos system. …”

Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx by Bailey A. Loving (20573882)

“…MVA showed that higher socioeconomic disadvantage significantly decreased survey participation (ADI third tertile vs. first tertile OR=0.708, p<0.001), with each unit increase in ADI reducing the odds of completion by 1% (p<0.001). …”

Table 1_Exhaled breath particles as a diagnostic tool for bronchiolitis obliterans syndrome in lung transplant recipients: a longitudinal study.docx by Runchuan Gu (10911582)

“…In fact, PFR has been shown to indicate early signs of lung injury in both ARDS and PGD settings. In the present study, we explored whether PFR could be used as a marker for BOS.…”

Supplementary Material for: Atypical COVID-19-related Acute Macular Neuroretinopathy with Progression resulting in Severe Vision Loss by Weinberger E.M (20394746)

“…Introduction: We review the clinical course of a patient with decreased vision in the setting of COVID-19 infection consistent with an atypical presentation of acute macular neuroretinopathy (AMN). …”

Data Sheet 1_Effect of music therapy on children with autism spectrum disorders in the Chinese population: a systematic review and meta-analysis.docx by Yajing Yang (2105431)

“…</p>Design<p>Systematic review and meta-analysis.</p>Setting<p>We performed a systematic review according to the PRISMA guidelines. …”

Table 1_Efficacy and safety of sofosbuvir plus daclatasvir in hemodialysis patients with genotype 1b or 2a hepatitis C virus infection: a single-arm, prospective real-world study.x... by Kaili Wang (2246485)

“…One participant was lost to follow-up. APRI scores significantly decreased from baseline (0.56) to week 24 (0.20, p < 0.001). …”

Supplementary file 1_Association of antenatal dexamethasone administration timing with outcomes in preterm infants in a low- and middle-income country.docx by Vijay Kalrao (22696397)

“…Whether exposure within 24 h before delivery confers benefits remains uncertain. We aimed to evaluate the association between antenatal dexamethasone-to-delivery intervals and preterm outcomes in an LMIC setting.…”