Subject characteristics (n = 45). by Min Wang (21070)

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Transcriptome and Metabolome Based Mechanisms Revealing the Accumulation and Transformation of Sugars and Fats in Pinus armandii Seed Kernels during the Harvesting Period by Nan Li (155066)

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Optimal proportion under comprehensive balance analysis (vertical "*" indicates the number of occurrences for a certain factor at a certain level, horizontal "*" denotes the degree... by Junxia Zhou (14381598)

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This figure shows the forest plot for the multivariable logistic regression found in Table 1. by Scott J. Halperin (17835402)

SI Figure 1- uncropped western blots by Renata Goncalves (15806162)

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Implementation framework. by Amos Asiedu (4996946)

“…HMIS data showed statistically significant improvement in data completeness (from 62 to 87% (p < 0.001)) and decreased error rate (from 37 to 18% (p < 0.001)) after completion of the coaching visit series. …”

DHIMS2 data quality over time. by Amos Asiedu (4996946)

“…HMIS data showed statistically significant improvement in data completeness (from 62 to 87% (p < 0.001)) and decreased error rate (from 37 to 18% (p < 0.001)) after completion of the coaching visit series. …”

Regression situation of each cross-section. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Statistical Table of Formation Loss Rate <i>V1.</i> by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Fitting Results for Each Operating Condition. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Correlation analysis, Data show only the values of the correlations that were significant (p < 0.05). by Glaucia Vilar-Pereira (686134)

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using syst... by Iva Milinkovic (22331710)

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Age-standardized prevalence rates of gynecological diseases across 21 GBD regions, by SDI, from 1990 to 2021. by Xiaofeng He (2618752)

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Information of QTL interval and lead SNP significantly associated with meat color in fast-growing white-feathered chickens. by Jiahong Sun (6497603)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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MXene/Bi₂O₃ Nanocomposites as Supercapacitors for Portable Electronic Devices by Nanasaheb M. Shinde (8560572)

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Quantitative real-time PCR analysis of high-risk CRLs and co-expressed CRGs in GBM human cell lines and the GBM mouse model. by Yajia Chen (20685780)

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