Table 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.docx by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 4_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 2_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 3_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 5_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Data_Sheet_1_Liver cirrhosis is a risk-factor for Pneumocystis jirovecii associated mortality.pdf by Georg Peschel (14005905)

“…Background<p>Pneumocystis jirovecci pneumonia (PCP) is a life threating disease in immunodeficient patients. …”

RMSD graphs for the backbone of WT PARG1, I845V and T622M mutants. by Zen Kouchi (14898435)

Data Sheet 1_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. …”

Data Sheet 2_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. …”

Table_1_Global prevalence of fatigue in patients with multiple sclerosis: a systematic review and meta-analysis.docx by Xiaodong Yi (2252287)

“…A random effects model was used to calculate the prevalence of MS-related fatigue. …”

Frontier analysis of ACM ASDRs by SDI in 2021. by Fei Yan (128878)

“…<b>B</b> The top 15 countries with the largest effective difference (largest ACM DALYs gap from the frontier) are labeled in purple; examples of frontier countries with low SDI (< 0.5) and low effective difference are labeled in green (e.g., Somalia, Central African Republic, Mozambique, Malawi, Eritrea), and examples of countries and territories with high SDI (> 0.85) and relatively high effective difference for their level of development are labeled in blue (e.g., the United States, Lithuania, Monaco, Finland, Germany).Blue dots indicate an increase in age-standardized ACM DALYs rate from 1990 to 2021; Red dots indicate a decrease in age-standardized ACM DALYs rate between 1990 and 2021.…”

Table 1_A study of the impact of DIP payment reform on coronary heart disease hospitalization costs and equity.docx by Yingying Tao (12268535)

“…The number of days of hospitalization decreased, from 8.82 to 7.78 (p < 0.001) for UEBMI and from 8.24 to 7.46 (p < 0.001) for URRBMI, with the largest decrease in primary hospitals. …”

Image4_Seawater temperature drives the diversity of key cyanobacteria (Synechococcus and Prochlorococcus) in a warming sea.tiff by Alexandra Coello-Camba (6489533)

“…<p>The picocyanobacteria genera Prochlorococcus and Synechococcus play a significant role globally, dominating the primary production in warm and oligotrophic tropical and subtropical areas, which represent the largest oceanic ecosystem. …”

Image2_Seawater temperature drives the diversity of key cyanobacteria (Synechococcus and Prochlorococcus) in a warming sea.tiff by Alexandra Coello-Camba (6489533)

“…<p>The picocyanobacteria genera Prochlorococcus and Synechococcus play a significant role globally, dominating the primary production in warm and oligotrophic tropical and subtropical areas, which represent the largest oceanic ecosystem. …”

Image3_Seawater temperature drives the diversity of key cyanobacteria (Synechococcus and Prochlorococcus) in a warming sea.tiff by Alexandra Coello-Camba (6489533)

“…<p>The picocyanobacteria genera Prochlorococcus and Synechococcus play a significant role globally, dominating the primary production in warm and oligotrophic tropical and subtropical areas, which represent the largest oceanic ecosystem. …”

Image5_Seawater temperature drives the diversity of key cyanobacteria (Synechococcus and Prochlorococcus) in a warming sea.tiff by Alexandra Coello-Camba (6489533)

“…<p>The picocyanobacteria genera Prochlorococcus and Synechococcus play a significant role globally, dominating the primary production in warm and oligotrophic tropical and subtropical areas, which represent the largest oceanic ecosystem. …”

Image1_Seawater temperature drives the diversity of key cyanobacteria (Synechococcus and Prochlorococcus) in a warming sea.tiff by Alexandra Coello-Camba (6489533)

“…<p>The picocyanobacteria genera Prochlorococcus and Synechococcus play a significant role globally, dominating the primary production in warm and oligotrophic tropical and subtropical areas, which represent the largest oceanic ecosystem. …”

Global distribution of L1 sublineages. by Venus Marie R. Rojas (22403766)

Estimated absolute number of cases of MTBC lineages circulating among L1-endemic high-burden TB, MDR/RR-TB, and TB-HIV countries. by Venus Marie R. Rojas (22403766)