Characteristics of Study Participants. by Hyelim Lee (11286822)

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Distribution of HWP by Criteria and Vitamin D Status (Two Groups). by Hyelim Lee (11286822)

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Cohort characteristics. by Vincent Pey (21433304)

“…</p><p>Results</p><p>Upon initiation of CPB we observed a significant decrease in arterial whole blood redox potential (101.90 mV + /- 11.52 vs. 41.80 mV + /- 10,26; p < 0.0001). …”

Joinpoint regression trends in crude hospitalization and mortality rates of HPV-associated cancers in Mexico (2011–2019). by Juan Carlos Orengo (21546581)

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Distribution of HPV-associated and attributable cancer deaths by type and sex, Mexico, 2011-2019. by Juan Carlos Orengo (21546581)

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Hospitalizations for HPV-associated and HPV-attributable cancers by type and sex in Mexico (2011-2019): total numbers, averages, and crude rates per 100,000 population. by Juan Carlos Orengo (21546581)

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Trends in age-standardized hospitalization rates by HPV-associated cancer type and sex (2011–2019): annual percentage change and average annual percentage change. by Juan Carlos Orengo (21546581)

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Mortality for HPV-associated and HPV-attributable cancers by type and sex in Mexico (2011-2019): total numbers, averages, and crude rates per 100,000 population. by Juan Carlos Orengo (21546581)

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Joinpoint regression trends in age-standardized hospitalization and mortality rates of HPV-associated cancers in Mexico (2011-2019). by Juan Carlos Orengo (21546581)

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Trends in age-standardized mortality rates by HPV-associated cancer type and sex (2011–2019): annual percentage change and average annual percentage change. by Juan Carlos Orengo (21546581)

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Distribution of HPV-associated and attributable cancer hospitalizations by type and sex, Mexico, 2011-2019. by Juan Carlos Orengo (21546581)

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Age distribution and median age at hospitalization and death by HPV-associated cancer type and sex, Mexico, 2011–2019. by Juan Carlos Orengo (21546581)

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Table 1_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 5_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 2_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 4_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Table 3_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

“…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”

Structure diagram of ensemble model. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Fitting formula parameter table. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Test plan. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”