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)

Negative (Prednisone) and basal (ATP) control compounds binding to ALK protein. by Richard Junior Zapata Dongo (17912565)

S1 Data - by Richard Junior Zapata Dongo (17912565)

“…This interaction was further supported by a significant decrease of ALK phosphorylation in single and combination treatment with 300nM ABT-199. …”

Molecular docking showed that ABT-199 can fit into active site of ALK^Mutant. by Richard Junior Zapata Dongo (17912565)

RNA targets of Mod identified by RiP-Seq. by Amalia S. Parra (4173004)

“…Mod is expressed in larval brains and its loss leads to a significant decrease in the number of central brain NBs. …”

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

The binding energy values of ATP, ALK inhibitors and ABT-199 to ALK were obtained from AlphaFold and modeled protein structures. by Richard Junior Zapata Dongo (17912565)

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)

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

Average days to heal a wound in 2022 and 2023. by Heba Tallah Mohammed (2822432)

“…</p><p>Results</p><p>Average healing time for all wounds decreased significantly from 62.5 days in 2022 to 38.6 days in 2023, a 38.2% improvement (p < 0.001). …”

Changepoint analysis in comparison of MarBTN-specific eDNA and cancer in hemolymph. by Rachael M. Giersch (22331947)

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. …”