Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
water decreases » rate decreased (Expand Search), water degrades (Expand Search), greater decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
water decreases » rate decreased (Expand Search), water degrades (Expand Search), greater decrease (Expand Search)
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1881
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.
Published 2024“…<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.…”
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1882
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1883
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1884
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1885
Regulation of IL8 cytokine in <i>L</i>. <i>intracellularis</i> infected PK-15 cells.
Published 2024Subjects: -
1886
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1887
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1888
Growth of <i>L</i>. <i>intracellularis</i> strains Dkp23 and Vaccine in PK-15 cell lines.
Published 2024Subjects: -
1889
Regulation of NF-κB nuclear translocation in the nucleus of Dkp23- or Vaccine-infected PK-15 cells.
Published 2024Subjects: -
1890
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1891
Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database.
Published 2025Subjects: -
1892
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1893
Spontaneous physical activity and respiratory quotient (RQ) in WT and NMIIC KO mice.
Published 2025Subjects: -
1894
Fiber types and muscle force in the soleus of 18-20-week-old WT and NMIIC KO mice.
Published 2025Subjects: -
1895
Evaluation of mitochondrial protein expression and morphology in NMIIC KO mice.
Published 2025Subjects: -
1896
Data_GDP/ Ndvi.
Published 2025“…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. …”
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1897
Flow chart of the study.
Published 2025“…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. …”
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1898
Example of manual identification.
Published 2025“…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. …”
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1899
Data_soil.
Published 2025“…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. …”
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1900
Data_road.
Published 2025“…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. …”