Logistics regression analysis for the associations between decreased kidney function (eGFR < 90 mL/min/1.73 m²) and sex-specific z-scores of anthropometric indices, weig... by Xinyun Chen (6655703)

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

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Linear regression analysis results for the effect of log-transformed urinary BPA concentrations at two time points on serum thyroid concentrations at ages 10–12. by Jung Eun Choi (563339)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

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Flow chart of data screening and analysis. by Yan She (8639796)

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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)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

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Presents the bibliometric search results. by Yan She (8639796)

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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)

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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. …”