Thymus regeneration promotes naïve T-cell recovery in iMycTg aging-E mice and a partial decrease in Treg frequencies. by Abigail Morales-Sánchez (21799582)

Proportion of counties that experience, on average, a decrease in salinity levels during El Niño years, divided by geographical areas. by Nicola Limodio (15138316)

Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

Subjects:

Bar charts showing the numbers of significantly differentially expressed genes for the different contrasts. by Gillian P. McHugo (8965919)

Linear regressions of the distance between buoys (km) and the Pearson correlation coefficient for each pairwise buoy combination for 2021 (blue) and 2022 (gray). by Claire Stevens (11127729)

The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

Comparison of Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Related Variables by Vitamin D Status (A) VAI, (B) LAP, (C) TG, (D) WC, (E) BMI, (F) HDL-C. by Hyelim Lee (11286822)

Subjects:

Potato gene ontology enrichment results significant at <i>p</i> < 0.01. by Margaret A. Carpenter (6104180)

High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP₄ Monolayer by José A. S. Laranjeira (18870824)

“…Under compressive strain, the band gap decreases almost linearly to 2.65 eV at −8% strain and then drops sharply to 0.97 eV, an ∼69% variation. …”

High Stability, Piezoelectric Response, and Promising Photocatalytic Activity on the New Pentagonal CGeP₄ Monolayer by José A. S. Laranjeira (18870824)

“…Under compressive strain, the band gap decreases almost linearly to 2.65 eV at −8% strain and then drops sharply to 0.97 eV, an ∼69% variation. …”

BMI groups by SES. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Diagram of study population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”