GMT by age cohort for PWH and PWoH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 4 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Difference in GMT for HPV16 and HPV18 in PWH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 3 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Summary of characteristics of studies reviewed. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Cumulative meta-analysis. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Summary of immunogenicity information. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Distribution of stable carbon and nitrogen values for pPOM and sPOM. by Nathan D. McTigue (10706460)

Niche overlap within shelf communities. by Nathan D. McTigue (10706460)

Niche overlap within fjord communities. by Nathan D. McTigue (10706460)

Activity monitoring of wild-type and <i>rho-l</i> mutant strains of <i>Aedes albopictus</i>. by Si Yu Zhao (19544793)

Passive sensing data. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Surveys. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

The percentage change in DALYs for head and neck cancers in the Asia between 1990 and 2021. by Mengjuan Ding (21560393)

Time-based splitting strategy and forecast horizons. by Thierry Jean (20691795)

Reads of all detected genes in transcriptome sequencing. by Si Yu Zhao (19544793)

Joinpoint analysis of trends in the age-standardized DALYs rates of LC, LOC, and OPC from 1990 to 2021. by Mengjuan Ding (21560393)

Sampling locations across the Arctic where data were aggregated. by Nathan D. McTigue (10706460)

Heuristics developed to identify coastscapes in the coastal Arctic habitat continuum. by Nathan D. McTigue (10706460)

Quantification of isotopic niche overlap for feeding habits between coastscapes. by Nathan D. McTigue (10706460)