The higher the value, the stronger the correlation. by Xiaoxu Zhu (11764430)

Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

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Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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Box plots showing the taxa that were significantly different between thin and normal cows. by Bhuripit Saraphol (20855573)

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

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Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

A slight negative trend in the relationship between U-Cd levels and BMD in both 2019 and 2022, as evident from the slightly downward-sloping regression lines in both years. However... by Aroon La-up (14095691)

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Significant fouls and misconduct offences determining the degree of on-field referees consulting VAR. by Mohamad Nizam Nazarudin (22493216)

degree of faithfulness to the explanation. by Kyuhyung Kim (651731)

The difference of BMD between 2019 and 2022 classify by grop of urinary camium levels measured in 2019. by Aroon La-up (14095691)

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Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. by Aroon La-up (14095691)

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Prevalence of osteoporosis classified by sex, and urinary cadmium level compare between 2019 and 2022. by Aroon La-up (14095691)

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Linear Mixed-Effects Model analysis of bone mineral density changes in relation to urinary cadmium levels in a 3-Year Period. by Aroon La-up (14095691)

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Data. by Aroon La-up (14095691)

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Stratified analysis of the association between urinary cadmium and bone mineral density, by sex. by Aroon La-up (14095691)

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Association between baseline urinary cadmium and the three-year change in bone mineral density (ΔBMD). by Aroon La-up (14095691)

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Characteristics of the study participants for continuous variables. by Aroon La-up (14095691)

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Comparison of clinical data of correlation between different degrees of thrombocythemia and its symptoms. by Ping He (33281)

Correlation heatmap with significance. by Bo Dong (218172)

“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”

High frequency noise affected by external environment (5.0 Hz), the noise level during the day is significantly higher than that at night. by Wenchao Bao (20390101)