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. …”

Data Sheet 1_α-Mangostin prevents diabetic cardiomyopathy by inhibiting oxidative damage and lipotoxicity through the AKT–FOXO1–CD36 pathway.pdf by Xue Bai (129175)

“…Oxidative stress and lipid metabolism disorder-induced myocardial cell damage are part of the pathogenesis of DCM. In this study, we investigated the effects of alpha-mangostin (A-MG), a natural antioxidant extracted from mangosteen peel, on in vitro and in vivo DCM models.…”

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. …”

P4HA3 deficiency increased sensitization to immune checkpoint inhibitors and P4HA3 could predict the clinical therapeutic effect of PD-1 inhibitor (Camrelizumab). by Hong Yan Huang (20135965)

“…P4HA3 and Ki-67 were decreased in the knockdown groups by siRNA compared to the NC group. …”

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. …”

Effects of liposomal bupivacaine (LB) and provider experience with LB on service utilization, clinical outcomes, and Medicare expenditures among fee-for-service (FFS) beneficiaries by Sarmistha Pal (13348959)

“…</p><p>Using an IPTW propensity score model and associated outcome regressions we find that both LB use and provider LB use rate had a statistically significant impact on reducing total Medicare expenditures per patient per 180-day episode ($245 and $258 respectively, p < 0.01), with the most significant reduction in spending for Inpatient and SNF care settings. …”

<b>Selective Reduction of Ca</b>^{<strong>2+</strong>}<b>-Independent Phospholipase A</b>_{<strong>2</strong>}<b>b</b><b> (iPLA</b>_{<strong>2</strong>}<b>b... by Abdulaziz Almutairi (9584768)

“…What is the specific question(s) we wanted to answer?</b></p><p dir="ltr">· Does MF-iPLA₂b-derived lipid signaling impact diabetes development ?…”

Data Sheet 2_Triterpenes in breast cancer: a systematic review of preclinical evidence in rodents.xlsx by Alexandra Prodea (22617710)

“…The toxicity assessment revealed that triterpenes have in general, insignificant or absent toxicity, with only a small number of studies reporting serious side effects such as leukopenia, hepatotoxicity and mortality at specific doses that were reversed in some cases by the use of carriers, which hold the potential to enhance the therapeutic effect of triterpenes while reducing their systemic toxicity.</p>Conclusion<p>We concluded that the current in vivo evidence does not support the clinical translation of triterpenes for the treatment of breast cancer due to methodological and clinical heterogeneity as well as the lack of toxicity data in a significant number of studies. …”

Table 1_Impact of the Yangtze River on Sediment source-to-sink processes in estuarine bays: a study of the Oujiang River Estuary, SE China.docx by Xia Guang (21570056)

“…Our findings revealed a dynamic pattern of sediment distribution, with the predominant clay minerals in the surface sediment of the offshore area being illite, followed by kaolinite and chlorite, with a minor smectite content. Notably, we observed a gradual increase in the proportions of illite and smectite from the upstream to the estuary, while kaolinite decreased accordingly. …”