NBs in Mod-depleted brains display defects in expression of key cell identity factors. by Amalia S. Parra (4173004)

The interaction effect of CS*SFSF on Changes in soil pH (a), potassium to sodium ratio (K/Na) (b), ESP (c), and SAR (d) under cycling irrigation (CI) coupled with silicon fertiliza... by Jieru Zhao (21262027)

Blocking IFNAR leads to enhancement of IL-1β and IL-17 production. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

related to Fig 4. ROS, K+ efflux and cathepsin B do not affect TNFα production in response to eggs. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

Loss of Mod causes cell cycle defects. by Amalia S. Parra (4173004)

Amino acids interactions and binding energy describe that ABT-199 binds to ALK^Mutant. by Richard Junior Zapata Dongo (17912565)

ROS, K⁺ efflux and cathepsin B are required for NLRP3 activation. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

Ba/F3 EML4-ALK^mutants exhibit variable dose-response to ABT-199 treatment. by Richard Junior Zapata Dongo (17912565)

The loss of NLRP3 and AIM2 results in reduced Th17 and enhanced Th2 cytokine responses. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

Egg-induced IL-1β and IL-17 production is dependent on both Caspase-1 and Caspase-8. by Madhusoodhanan Suresh Kumar Meena Kumari (20896666)

Descriptive characteristics of the sample. by Ronna Bañada (19233063)

Subjects:

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Vertebral cancellous tissueμCT parameters are not significantly affected by aging from 16 to 21 weeks, housing type, or microgravity. by Rukmani Cahill (20939813)

“…(G) μCT volumetric reconstructions of a representative sample from each group show a slight decrease in bone parameters from FL mice, which are not deemed significant by statistical testing.…”

Regression models of COVID-19-related racial discrimination and depression symptoms among the full sample. by Ronna Bañada (19233063)

Subjects:

Regression models of COVID-19-related racial discrimination and anxiety symptoms among the full sample. by Ronna Bañada (19233063)

Subjects:

Data_GDP/ Ndvi. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Flow chart of the study. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Example of manual identification. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data_soil. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data_road. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”