The technical route of the study. by Hongliang Zou (20707270)

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Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

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Epac activation increased MYPT phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

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Summary statistics of key variables. by Saul Estrin (8629173)

“…We propose that, while there are still agglomeration benefits, the development path followed by cities in developing countries also creates significant agglomeration costs and these act to limit innovation. …”

Phosphorylation status of myofilament proteins prepared from Epac1TG. by Yoshiki Ohnuki (576298)

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Pre-RT and post RT D-dimer levels in associated with prognostic significance. by Huriye Senay Kiziltan (22298378)

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Epac activation with 8CPT-AM induced RLC phosphorylation in the perfused hearts. by Yoshiki Ohnuki (576298)

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Epac activation increased RLC phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

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Significant Wilcoxon test results of the Task 1 Nasa TLX data, differences between feedback ON and OFF. by Mucahit Gemici (21519313)

Functional characterization of skinned myocardium prepared from Epac1TG. by Yoshiki Ohnuki (576298)

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Effects of chronic ISO infusion on cardiac function in Epac1TG. by Yoshiki Ohnuki (576298)

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Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

lncCyt b cooperates with hnRNPA2B1 to modulate glycolysis and exhibits physiological significance. by Jia Li (160557)

Log2 fold change (FC) of the overlaps of lipid metabolites between the study groups and those significant metabolites that appear exclusively in a single group (unique) represented... by Laia Bertran (3685147)

Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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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. …”