Excel raw data. by Michael Getie (12400923)

“…The age range of the patients included in this study was 1–96 years, and the mean age of the patients was 33.44 ± 17.36 years. …”

Gene diversity of lancelet <i>Artemis.</i> by Ziwen Huang (17562948)

“…All flow cytometry data represented the mean ±  SD of three biological replicates. <i>P</i>-values were analyzed with Student <i>t</i> tes<i>t</i>. ns, not significant.…”

Image 2_Restoring natural killer cell activity in lung injury with 1,25-hydroxy vitamin D3: a promising therapeutic approach.jpeg by Johnny Amer (495285)

“…However, the extent to which ALI regulates lung tissue-resident NK (trNK) activity and their molecular phenotypic alterations are not well defined. We aimed to assess the impact of 1,25-hydroxy-vitamin-D3 [1,125(OH)₂D] on ALI clinical outcome in a mouse model and effects on lung trNK cell activations.…”

Image 3_Restoring natural killer cell activity in lung injury with 1,25-hydroxy vitamin D3: a promising therapeutic approach.jpeg by Johnny Amer (495285)

“…However, the extent to which ALI regulates lung tissue-resident NK (trNK) activity and their molecular phenotypic alterations are not well defined. We aimed to assess the impact of 1,25-hydroxy-vitamin-D3 [1,125(OH)₂D] on ALI clinical outcome in a mouse model and effects on lung trNK cell activations.…”

Table 1_Restoring natural killer cell activity in lung injury with 1,25-hydroxy vitamin D3: a promising therapeutic approach.docx by Johnny Amer (495285)

“…However, the extent to which ALI regulates lung tissue-resident NK (trNK) activity and their molecular phenotypic alterations are not well defined. We aimed to assess the impact of 1,25-hydroxy-vitamin-D3 [1,125(OH)₂D] on ALI clinical outcome in a mouse model and effects on lung trNK cell activations.…”

Image 1_Restoring natural killer cell activity in lung injury with 1,25-hydroxy vitamin D3: a promising therapeutic approach.jpg by Johnny Amer (495285)

“…However, the extent to which ALI regulates lung tissue-resident NK (trNK) activity and their molecular phenotypic alterations are not well defined. We aimed to assess the impact of 1,25-hydroxy-vitamin-D3 [1,125(OH)₂D] on ALI clinical outcome in a mouse model and effects on lung trNK cell activations.…”

Impacts of winter climate change on northern forest understory carbon dioxide exchange determined by reindeer grazing by Noora Kantola (14263490)

“…On the contrary, increased snow depth decreased C source strength inside the exclusion offsetting the difference between reindeer grazing treatments. …”

Study group background characteristics. by Zicheng Hu (3825313)

“…This ratio was disrupted when blood CD4+ T-cells fell to <50 cells/μL and the CSF WBC count decreased to negligible levels; in this group the CSF:blood HIV-1 RNA ratio decreased nearly 10-fold to an overall ratio of <1:100. …”

Data Sheet 1_Characteristics of cardiopulmonary exercise capacity in adults with different degrees of obesity.pdf by Shukun Deng (20583833)

“…</p>Conclusion<p>With the aggravation of obesity, the maximum exercise ability of adults decreases, VO_2peak/kg and VO₂/HR_max%Pred decreases, and the breathing reserve decreases.…”

Image 3_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 3_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 8_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 2_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 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. …”