Basic parameters of model. by Run-Zhi Jia (21262716)

“…As the confining pressure increased, the ratio of tensile cracks in rock sample failure decreased, while the ratio of shear cracks increased. …”

a. How various statistical models account for modulation classification performance across the entire dataset. by Chris Scholes (3309477)

Impact of mobility in a three-region system with heterogeneous epidemic conditions. by Mousumi Roy (8869412)

ZIKV infection enriches the HLA Class I pathway in brain tumour cells. by Matt Sherwood (22530221)

“…Normalised enrichment score (NES) denotes the degree to which the enrichment increased (+) or decreased (-). GSEA analysis significance is defined by p ≤ 0.05 and FDR ≤ 0.25. …”

Immunoblots analysis of mitophagy-related protein expression. by Michael O. Isei (20500908)

Projected LULC of BMNP (2033 and 2053). by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Definition of LULC classes. by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Data types and their sources. by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Location map of the study area. by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Spatial variables selected for LULC modeling. by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Area of LULC changes in BMNP (1993 – 2023). by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

A reas of actual and simulated LULC in 2023. by Firdissa Sadeta Tiye (21222102)

“…Standard image pre-processing techniques were applied, and composite images were created using yearly median values in Google Earth Engine (GEE). …”

Behavioral characterization of prenatal nicotine exposure (PNE) and control mice. by Rodrigo Vidal (4177060)

Classification of land use index. by Hui Li (32376)

“…Our results indicate significant changes in land types within the TGRR from 1986 to 2020, with decreases in arable land, forest land, and grassland, while water bodies, building land, and unused land increased. …”

Analysis diagram of social carrying system. by Hui Li (32376)

“…Our results indicate significant changes in land types within the TGRR from 1986 to 2020, with decreases in arable land, forest land, and grassland, while water bodies, building land, and unused land increased. …”

Analysis diagram of Ecological carrying system. by Hui Li (32376)

“…Our results indicate significant changes in land types within the TGRR from 1986 to 2020, with decreases in arable land, forest land, and grassland, while water bodies, building land, and unused land increased. …”

Analysis diagram of economic carrying system. by Hui Li (32376)

“…Our results indicate significant changes in land types within the TGRR from 1986 to 2020, with decreases in arable land, forest land, and grassland, while water bodies, building land, and unused land increased. …”

Analysis diagram of population carrying system. by Hui Li (32376)

“…Our results indicate significant changes in land types within the TGRR from 1986 to 2020, with decreases in arable land, forest land, and grassland, while water bodies, building land, and unused land increased. …”

Influence of DCR on the distinction between instances in YouTube-VIS 2019 dataset. by Farnoosh Arefi (19812520)

Minimal test data set by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”