Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

“…<div><p>Background</p><p>Liver cancer is the third-deadliest cancer globally, significantly affecting the Asian population, which accounts for 70% of cases. …”

Data. by Aroon La-up (14095691)

“…U-Cd levels were not significantly associated with BMD changes over the three-year period (coefficient = −0.002, p = 0.073), though a slight downward trend in BMD was observed across all cadmium exposure levels. …”

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…We assessed the impact of climatic and environmental variables on malaria incidence to better understand spatial and temporal trends and their implications for the WHO targets. …”

Data from: Decade-long bird trends in China: Stable species richness but increasing biotic homogenization by Jiekun He (20964269)

“…Taxonomic multiple-site beta diversity decreased over time (P < 0.01), indicating a trend towards biotic homogenization. …”

Assessment of soil erosion risks and prioritizing nature-based conservation practices using RUSLE, geospatial techniques and household surveys in central Ethiopia by Gamachu Yadata Nugusa (22683061)

“…Mann‒Kendall tests (<i>τ</i> = 1.0, <i>p</i> < 0.0001) and Sen's slope confirm significant upward trends in SLR and SY. Sub-catchments 5, 7, and 8 experienced severe erosion; sub-catchments 9, 10, and 12 experienced very high erosion. …”

Supporting data for "Excess mortality during the COVID-19 pandemic in Hong Kong and South Korea" by Shuqi Xu (12992556)

“…Mortality from influenza and pneumonia was estimated to have a statistically significant increase in HK but a decrease in SK probability due to different coding practices. …”

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

“…Use of one-back strategy parameters changed significantly across sessions for male mice with (C) S1 “Inappropriate Lose Shift” decreasing across sessions, <i>p</i> = 0.01 (D) S2 = S4 “Stimulus Insensitive Win Stay” increasing, <i>p</i> = 0.009 and (E) S3 “Inappropriate Lose Stay” decreasing, <i>p</i> < 0.0001. …”

SEAwise Report on improved predictive models of recruitment under different habitat scenarios and incorporating experimental results by Paco Melià (162862)

“…Projections show no relevant changes in herring recruitment under RCP4.5 and a decreasing trend under RCP8.5. Plaice recruitment would decline slightly under RCP8.5 and increase under RCP4.5, but from a lower level than RCP8.5. …”