Contribution of each risk factor to the spatial distribution of overweight and obesity in men aged between 15 and 49 years for DHS 2022. by Angelina Mageni Lutambi (22097223)

Multiple bacterial subpopulations are present within splenic microcolonies. by Justin Greene (306625)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

Motor function impairment in the three stroke models. by Oliver Schmitt (159300)

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

Contribution of each risk factor to the spatial distribution of the risk of overweight or obesity in women aged between 15 and 49 years for DHS 2010 (column 1), DHS 2015−16(column... by Angelina Mageni Lutambi (22097223)

Spatial distribution of crude(unadjusted) and adjusted prevalence ratios of overweight or obesity for women in DHS 2010 (Row 1), DHS 2015−16 (Row 2), and DHS 2022 (Row 3), and for... by Angelina Mageni Lutambi (22097223)

The upper plots show the changes in ZMK for summer and autumn. by Peyman Karami (5909264)

Ablation results. by Gang Xu (219455)

“…This framework first integrates features projected onto pixels via a expansion operation, compensating for the pixel information inadequately utilized in traditional back-projection methods, thus enabling more precise learning of spatial geometric features. Additionally, we design an implicit geometric perception structure that further refines the spatial geometric features obtained after integrating image features, learning the occupancy relationships in spatial voxels and updating them within the spatial features. …”

Complexity comparison results. by Gang Xu (219455)

“…This framework first integrates features projected onto pixels via a expansion operation, compensating for the pixel information inadequately utilized in traditional back-projection methods, thus enabling more precise learning of spatial geometric features. Additionally, we design an implicit geometric perception structure that further refines the spatial geometric features obtained after integrating image features, learning the occupancy relationships in spatial voxels and updating them within the spatial features. …”

Ablation results on Nerf-Det [28]. by Gang Xu (219455)

“…This framework first integrates features projected onto pixels via a expansion operation, compensating for the pixel information inadequately utilized in traditional back-projection methods, thus enabling more precise learning of spatial geometric features. Additionally, we design an implicit geometric perception structure that further refines the spatial geometric features obtained after integrating image features, learning the occupancy relationships in spatial voxels and updating them within the spatial features. …”

Ablation results on noise. by Gang Xu (219455)

“…This framework first integrates features projected onto pixels via a expansion operation, compensating for the pixel information inadequately utilized in traditional back-projection methods, thus enabling more precise learning of spatial geometric features. Additionally, we design an implicit geometric perception structure that further refines the spatial geometric features obtained after integrating image features, learning the occupancy relationships in spatial voxels and updating them within the spatial features. …”

Trends in spatial beta diversity over time. by Zoë J. Kitchel (21688386)

Visualization of the Heterogeneous Shrinkage of Electrode Sheets during Charging in Lithium-Ion Batteries by Weiyi Liu (433055)

“…This study introduced an optical method for mapping thickness changes in electrode sheets through image sharpness evaluation, revealing significant spatial heterogeneity in the expansion and shrinkage of electrode sheets under the operational conditions. …”

Description of various production factors. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Regression coefficients of production function. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Production function regression ridge trace. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Model test results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Memory effect on effective memory lifetime. by Katherine Daftari (20910118)

C2CD3 regulates spatial organization of centriole architecture. by Eloïse Bertiaux (5309927)