Modeling method used. by Claire Teillet (18986264)

“…The most influential variables for predicting larval presence were the mean of Normalized Difference Vegetation Index (NDVI), texture indices from both NDVI, brightness index (BI), and the panchromatic image. Urban vegetation significantly influences larval presence, although higher vegetation index values correlate with a decreased probability of larval occurrence. …”

Metric correlation matrix. by Chao Song (379006)

Random forest analysis. by Emir Matpan (21655811)

Characteristics of the study subjects (N = 39). by Layane S. P. Costa (22530327)

“…EELV increased in PL (+ 0.7 mL/kg PBW), PR (+2.0), and AR (+2.8), but decreased in AL (−2.3) (<i><i>p</i></i> < 0.001). In the bilateral protocol (n = 10, 70% male; 23.6 ± 3.2 years), regional ventilation showed no significant effects of position, ROI, or interaction (<i><i>p</i></i> > 0.05). …”

Flowchart of study. by Layane S. P. Costa (22530327)

“…EELV increased in PL (+ 0.7 mL/kg PBW), PR (+2.0), and AR (+2.8), but decreased in AL (−2.3) (<i><i>p</i></i> < 0.001). In the bilateral protocol (n = 10, 70% male; 23.6 ± 3.2 years), regional ventilation showed no significant effects of position, ROI, or interaction (<i><i>p</i></i> > 0.05). …”

Effects of changes in ventilation distribution and EELV in the supine and 30° left-lateral positioning. by Layane S. P. Costa (22530327)

The threshold effect analysis of the BRI on HGS. by Zhihao Wei (10909679)

“…Before this threshold, for every unit increase in BRI, HGS increases significantly (β = 2.19, 95% CI = 1.66, 2.72).</p><p>Conclusion</p><p>The results showed that BRI was positively correlated with HGS and negatively correlated with MQI, meaning that higher BRI was associated with higher HGS and lower MQI. …”

Table of Mann-Whitney test results on lectin microarray. by Yiying Zhang (198443)

Micelle and Inverse Micelle Structure Driven Viscoelasticity and Phase Separation in 2‑Isobutoxyethanol–Water Mixtures: Insights from All-Atom Simulations by Mayank Dixit (7879364)

“…Structural analyses, including radial distribution functions (RDFs) and potentials of mean force (PMFs), reveal that hydrogen bonds between IBE-water are significantly stronger than those in IBE–IBE and water–water pairs, as evidenced by higher RDF peak intensities, deeper contact minima, and slower hydrogen-bond autocorrelation decay. …”

Micelle and Inverse Micelle Structure Driven Viscoelasticity and Phase Separation in 2‑Isobutoxyethanol–Water Mixtures: Insights from All-Atom Simulations by Mayank Dixit (7879364)

“…Structural analyses, including radial distribution functions (RDFs) and potentials of mean force (PMFs), reveal that hydrogen bonds between IBE-water are significantly stronger than those in IBE–IBE and water–water pairs, as evidenced by higher RDF peak intensities, deeper contact minima, and slower hydrogen-bond autocorrelation decay. …”

RBM39 is methylated by PRMT6 at arginine 92. by Tongjia Zhang (16496661)

Frequency of short–term outcomes of IVH. by Annette Baine Mwatha (9046241)

“…Post-hemorrhagic ventricular dilation (22% vs 6.7%) and periventricular leukomalacia (20% vs 6.7%) were significantly higher among preterms with IVH.</p><p>Conclusion</p><p>The findings elicited from this study lay a foundation for the implementation of neuroprotective protocols which may potentially reduce the magnitude of IVH in this highly vulnerable age group.…”

Baseline characteristics of the study population. by Hanbin Wu (14016246)

“…<div><p>Background</p><p>In addition to hyperglycemia, women with hypoglycemia identified during pregnancy have a higher risk of adverse pregnancy outcomes. However, there is limited evidence of the association between prepregnant hypoglycemia and adverse pregnancy outcomes in women without pre-existing diabetes. …”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …”

Alleviation of Nanoplastic Stress in Rice: Evidence from Biochemical, Cytological, Physiological, and Transcriptome Analysis by Jiacheng Jin (11480055)

“…These two remedies were cost-effective and environmentally favorable, offering significant potential benefits for agricultural sustainability.…”

A proposed model for citrus tristeza virus (CTV) p20-mediated RNA silencing suppression. by Yongle Zhang (11355546)

Release kinetics of GDNF from SIS with and without syndecan-3 (SDC3) added. by Shiu-Jau Chen (21077803)

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

“…North America), and with ≥3-monthly follow-up (vs. < 3). Rates were significantly higher in studies from Africa (vs. North America), with lower median age, higher proportions of non-MSM/TGP participants, higher proportions of participants with unspecified (vs. mixed) ethnicity, with unspecified (vs. daily) PrEP regimen, free-of-charge (vs. unspecified) STI testing, whose data were from conference abstracts (vs. peer-reviewed papers), and that were more recent. …”

Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

“…<p><b>(A)</b> Linear discriminant analysis [LDA; (log10)>2] and (B) effect size (LEfSe) analysis revealed significant differences (P < 0.01) in the microbiota of the case (orange, negative score) and control groups (blue, positive score) groups. …”