Impact of Gemin5 in protein synthesis: phosphoresidues of the dimerization domain regulate ribosome binding by Salvador Abellan (19499424)

“…In addition, ribosome binding decreased when Ser/Thr 847 and 852–854 are substituted by a non-phosphorylatable residue, consistent with decreased protein stability, and reduced number of associated factors. …”

<b>Phenological changes mediated the effects of nitrogen enrichment on reproduction in an alpine meadow on the Tibetan Plateau</b> by Tianwu Zhang (22122382)

“…</p><p dir="ltr">We found that N addition delayed the reproductive period and decreased both flower and fruit production in alpine plants. …”

Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

“…The greater change of central macular thickness (CMT) was significantly correlated with increased CMT (P=0.030), decreased CT (P=0.042) and decreased CVI (p=0.038) at baseline. …”

Description of study characteristics. by Feline de la Court (15194678)

“…The pooled cumulative probability of PrEP retention was 77.0%, 64.7%, 48.5%, and 24.1% at 6, 12, 24, and 60 months, respectively. Loss of PrEP retention rates were significantly (p < 0.05) lower in studies from Europe, Australia and multiple regions (vs. …”

IntegraBrain: A multi-modal neural interface for the detection and suppression of focal epilepsy by Spencer Moore (8440863)

“…Work produced from it covered 3D Bioprinting with silicones, <i>In Silico</i> thermal modelling, embedded firmware programming, electronic hardware design, <i>In Vitro</i> thermal testing and <i>In Vivo</i> studies.…”

Baumer-TPW_2023_Dopamine-Monocytes_PMID37251548.xlsx by Tiffany Powell-Wiley (18098425)

“…Furthermore, Filamin A (FLNA), a</p><p dir="ltr">prominent actin-crosslinking protein, that is known to regulate CCR2 recycling, significantly decreased in DA-</p><p dir="ltr">treated NCM (p < 0.05), indicating a reduction of CCR2 recycling. …”

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. …”

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. …”

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 2_The effect of training intervention based on health belief model on self-care behaviors of women with gestational diabetes mellitus.pdf by Fatemeh Mohammadkhah (14157844)

“…Also, the comparison of averages of blood sugar levels after the intervention in the two groups indicated that fasting blood sugar level, A1C hemoglobin, and blood sugar levels measured 2 h after the meal significantly decreased in the intervention group (p < 0.001). …”

Table 2_Following changes in brain structure and function with multimodal MRI in a year-long prospective study on the development of Type 2 diabetes.xlsx by Yingjie Wang (354135)

“…There were no significant changes in cognitive or motor behavior over the yearlong study but there was a significant increase in sensitivity to peripheral pain in diet fed rats. …”