Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. by Cherryl Chico (20978829)

Comparison of mTOR expression grading among different groups at different time points. by Jian-feng Li (8667645)

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Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

Cephalometric measurement points. by Lijuan Liu (136685)

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Comparison of PCNA expression grades across different groups at various time points. by Jian-feng Li (8667645)

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Comparison of total overflow for different lag orders. by Cuicui Liu (1496260)

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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 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 trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Comparison of renal tissue pathological damage grades across different groups at all time points. by Jian-feng Li (8667645)

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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.…”

Individual stability values for different gait events under various conditions. by Hyung Suk Yang (20442438)

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Political events and impacts in different periods. by Jie Li (15030)

HFD decreases intermediate-term memory. by Tong Yue (6033305)

“…<p>(A) The survival rate of 10d <i>Canton-S</i> fed with ND or HFD was observed for 7 days. There was no significant decline in the survival rate in flies fed with HFD compared with ND (n = 10 vials, containing 20 flies at each time point). …”

Study-related adverse events. by Benjamin R. Lewis (22279166)

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Dose-dependent effect of dental materials on the survival of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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Forest plot showing the ratio of odds of hypothyroidism (=event) among pediatric brain cancer patients treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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Dose-dependent effect of dental materials on hatching rate of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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Forest plot showing the ratio of odds of grade 3 anemia (=event) among pediatric patients with brain tumors treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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Immunogenicity results of different vaccination schemes at different time points. by Rima Moghnieh (679199)

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Point in time of the first visible deviation from the trail in each scenario. by Chengmin Zhou (14554562)

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