Determinant of delivery by CS for women who had a live birth in HF one year prior to the survey, NDHS 2022. by Resham B. Khatri (10949429)

Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. B1. by Roman Vavrek (13200141)

Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. D2. by Roman Vavrek (13200141)

Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. C1. by Roman Vavrek (13200141)

(A) and (B) represent the total ion chromatogram in positive and negative model of qualitative analysis, respectively. by Xiaoqiang Huang (1457860)

Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> leaves on histopathological examination of the kidney tissues. by Fatma A. Moharram (9276104)

HPLC-MS tentative identification of phenolic metabolites from the defatted extract (DE) of <i>S. malaccense</i> (SM) and <i>S. samarangense</i> (SS) leaves. by Fatma A. Moharram (9276104)

Estimated total phenolic content (TPC), and total flavonoid content (TFC) in the defatted extract (DE) of <i>S. malaccense</i> and <i>S. samarangense</i> leaves. by Fatma A. Moharram (9276104)

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. malaccense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. samarangense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

VB2 cell fate analysis of <i>hlh-17</i>, <i>hlh-31</i>, and <i>hlh-32</i> mutant animals. by G. Robert Aguilar (13889674)

“…Error bars indicate standard deviation of the mean. ****<i>p</i> ≤ 0.0001, *<i>p</i> ≤ 0.05, ns: not significant. …”

The transcription levels of <i>NbSGS3-CFP-HA</i> (A) and <i>YFP-NbSGS3</i> (B) in Fig 1F and Fig 1G, respectively. by Yongle Zhang (11355546)

Correlation of differential metabolites. by Jun Sun (48981)

Association between flavonoid intakes and metabolic dysfunction-associated steatotic liver disease (MASLD) using a Restricted Cubic Spline regression model, adjusted for age, sex,... by Yuwei He (1565941)

Percentage survival of <i>Acinetobacter baumannii</i> infected <i>Galleria mellonella.</i> by Techit Thavorasak (13138440)

Participant retention flowchart. by Carolin Oetzmann (11397968)

“…We used latent class and latent transition analysis to identify subtypes at baseline, determined their consistency at 6- and 12-month follow-ups, and examined transitions over time. We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”

NMR aperture distribution of samples before and after 100 FTCs under three curing conditions: (a) standard curing; (b) 5 °C curing; (c) −3 °C curing. by YongHe Liu (20477123)

Raw data. by Jia Zhu (135506)

“…The remaining working conditions did not exhibit a significant difference. However, the observed decreasing trend was consistent with previously documented research. …”

Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”