Table 5_Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches.xlsx by Jinyi He (11163018)

“…Background<p>Hepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. …”

Table 4_Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches.xlsx by Jinyi He (11163018)

“…Background<p>Hepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. …”

Table 2_Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches.xlsx by Jinyi He (11163018)

“…Background<p>Hepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. …”

Table 6_Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches.xlsx by Jinyi He (11163018)

“…Background<p>Hepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. …”

Table 3_Investigation of the relationship between chronic hepatitis B and tuberculosis using bioinformatics and systems biology approaches.xlsx by Jinyi He (11163018)

“…Background<p>Hepatitis B virus (HBV) is a globally prevalent pathogen that poses significant public health challenges. Active HBV replication can trigger immune responses that result in liver damage. …”

Subject characteristics. by Barbara Mayr (7065950)

“…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”

Raw data. by Barbara Mayr (7065950)

“…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”

Flow diagram. by Barbara Mayr (7065950)

“…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”

Number of proteins exclusively found in strain 28 under exposure to fluconazole. by Pamela El Khoury (4976609)

Number of proteins exclusively found in strain 4 under exposure to fluconazole. by Pamela El Khoury (4976609)

Number of proteins exclusively found in strain 8 under exposure to fluconazole. by Pamela El Khoury (4976609)

Proteins identified exclusively in <i>C. glabrata</i> virulent strains (8 and 28) as compared to the avirulent strains (4 and 29) when grown in the presence of fluconazole. by Pamela El Khoury (4976609)

Number of proteins exclusively found in strain 29 under exposure to fluconazole. by Pamela El Khoury (4976609)

Uncertainty quantification approach. by Thomas Stark (1429333)

Proteins identified exclusively in <i>C. glabrata</i> virulent strains (8 and 28) as compared to the avirulent strains (4 and 29) when grown in the absence of fluconazole. by Pamela El Khoury (4976609)

Confidence values for three Diptera families with morphological similarities. by Thomas Stark (1429333)

Nontargeted Analysis Reveals Organofluorine Pharmaceutical Compounds Responsible for Formation of Toxic Disinfection Byproducts in a Drinking Water Treatment Plant in China by Renqi Wang (4257772)

“…This FCC algorithm significantly improved annotation rates, achieving a four-fold increase compared to traditional mass spectral matching strategies. …”

Japanese nurses’ socio-demographics (N = 394). by Masako Sakamoto (10803264)

“…<div><p>In recent years, Japan has experienced a significant increase in the number of foreign students and workers entering the country. …”

Comparison of EfficientNetB4 confidence values on 15 Diptera families. by Thomas Stark (1429333)

Boxplots showing the distribution of community stability by Lucas Hedström (21688891)