Example of a choice set for Best Worst Scaling. by Yachiyo Tobita (20613887)

“…In contrast, values related to power and achievement significantly increased following the pandemic. These results suggest that individual values are flexible and may change in response to external factors such as global crises.…”

Scatterplot 8. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 5. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 9. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 1. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 6. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 2. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Raw data of this study. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 4. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 3. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Correlation matrix. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 7. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Alignment of the Taxane binding pocket sequences. by Jacopo Zattoni (21702634)

“…We found that the amoeba’s mitotic tubulins show a significant number of changes that are expected to decrease their affinity for tubulin-targeting compounds. …”

Baseline characteristics of the four groups. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Flow of included patients through the trial. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Cox proportional hazards modeling. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Supplementary file 1_Spatiotemporal monitoring in beidagang wetland using Landsat time-series images and Google Earth Engine during 2000–2022.docx by Xinyue Zhang (271120)

“…Frequent type conversions occurred between adjacent classes, with the most significant changes in Guanqi Lake. Despite declining wetland water volumes due to rising temperatures and reduced precipitation, ecological compensation measures, including functional zoning, water replenishment, and phragmites restoration, have continuously improved the wetland environment. …”

Characterization of Developmentally Dynamic Promoters (DDPs). by Jiang Tan (260415)

Table 1_Early dynamic changes in platelet counts and 28-day mortality in sepsis patients: a retrospective cohort study using dynamic latent class model and generalized additive mix... by Yong Han (111920)

“…A dynamic latent class model analyzed the patterns of PLT count changes during the first week of hospitalization. …”

Schematic model depicting the relationship between lipids and proteins by target gene knockdown. by Takuya Kitamoto (11721639)

“…Although both <i>GNB1</i> and <i>SCARB2</i> knockdown results in fewer lipid droplets in the cytoplasm under nutrient-rich conditions, the model emphasizes significant changes in lipid and protein states. In the schematic diagram, significant increases are indicated by red arrows pointing upwards, while significant decreases are shown with blue arrows pointing downwards. …”