Overexpression of <i>FBLN1</i> can inhibit ferroptosis in LPS-induced ALI. by Yaping Yuan (2734228)

Subjects:

FBLN1 regulates ferroptosis by inhibiting TGF-β. by Yaping Yuan (2734228)

Subjects:

Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …”

Mean counts of fish caught per unit effort (± SE) per reef type. by Maryann S. Watson (16879881)

Soil bacterial (A) and fungal (B) alpha-diversity indices in mobile and fixed dunes. by Chengchen Pan (287383)

Relative abundances of dominant phyla in soil bacteria (a) and fungi (b) during restoration. by Chengchen Pan (287383)

Functional analysis of a <i>kh</i>^<i>w</i> mutant mosquitoes. by Si Yu Zhao (19544793)

Effect of busulfan treatment on androgens and androgen receptors. by Lingjun Zhao (21763122)

“…<p>Enzyme-linked immunosorbent assay results for A) androgens and B) androgen receptors. The androgen concentration remains stable after busulfan treatment, but the androgen receptor concentration significantly decreases 21 days after treatment. …”

Balance plot demonstrating adequate covariate entropy balancing using representative standard mean differences. by Amulya Vadlakonda (15449215)

Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke d... by Sanne Ettema (18786312)

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA.... by Emir Matpan (21655811)

“…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …”

Mean (95% CI) and standard deviation of Co-Contraction index of right and left gluteus medius (MVC%) during 60 minutes standing between two groups. by Saeedeh Abbasi (9423189)

Fuzzy c-mean clustering. by Janaina de Freitas Nascimento (3849415)

“…<div><p><i>Trypanosoma cruzi</i>, the causative agent of Chagas disease, has a complex life cycle that involves triatomine insects as vectors and mammals as hosts. …”

Maximum likelihood estimates of trans-log mean stochastic function. by James Anaba Akolgo (14129379)

IKK KO in microglia leads to increased accumulation of PK-resistant PrP <i>in vitro</i> but decreased accumulation <i>in vivo.</i> by Arielle J. D. Hay (15456341)

Cycle threshold values at which a specific number of dogs out of 11 dogs was able to detect SARS-CoV-2 in samples from Merida, Yucatán, México. by Víctor M. Vidal-Martínez (18707335)

Subjects:

The impact of UV360 on the locomotor activity of zebrafish larvae. by Lihan Xu (18778257)

Table 6 - Gain and loss: Human and environmental wellbeing – drivers of Kilimanjaro’s decreasing biodiversity by Andreas Hemp (730415)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”