Table_1_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_9_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_8_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_4_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_6_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_9_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_3_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_2_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_2_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_8_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xls by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_7_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xls by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_7_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_4_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Image_1_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.tif by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

Table_6_Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma.xlsx by Rui Sun (177521)

“…A total of 35 core hub genes were obtained through the mean decrease in accuracy and mean decrease Gini of the random forest model. …”

The Effect of Anakinra on Acrylamide-induced Peripheral Neuropathy and Neuropathic Pain in Rats by Alevtina Ersoy (14435122)

“…Acrylamide exposure caused a significant decrease in the pain threshold; an increase in malondialdehyde (MDA), tumor necrosis factor-alpha (TNF-α), and interleukin-1 beta (IL-1β) levels; and a decrease in total glutathione (tGSH) values in the sciatic nerve. …”

Individual recording analysis. by Sonya Marshall-Gradisnik (3525122)

“…PregS amplitude = (B)–(A) and Ononetin amplitude = (C)–(D). PregS was effective when presented with an increase at +100 mV current and Ononetin was effective when there is a decrease at +100 mV current. …”

PC depolarization increases the number and reduces the onset latency of LTS APs. by Jie Zhu (126574)

“…<p>(A) Left, overlay of example postsynaptic responses of LTS to a train of presynaptic APs at resting presynaptic <i>V</i>_m. …”

Two electrophysiological sleep states exist in the Argentine tegu. by Paul-Antoine Libourel (561599)

“…(H) Histograms per 3 h showing that S2 periods occur significantly more at the beginning and at the end of the sleep time (from left to right, <i>p</i> = 0.0139, <i>p</i> = 0.0287, <i>n</i> = 5). (I) Histograms showing from top to bottom a significant decrease of the heart rate variability (<i>p</i> = 0.0079, <i>n</i> = 5); an increase in the number of eye movements (<i>p</i> = 0.0079, <i>n</i> = 5); and a small decrease in muscle tone computed as the norm of the Hilbert transform (<i>p</i> = 0.0079, <i>n</i> = 5) between S2 (red) and S1 (bluish) for each episode lasting more than two seconds. …”

Subjective optimality model. by Yeonju Sin (11846045)

“…<b>(C)</b> Decision thresholds calculated from empirical data showed a decreasing pattern along the opportunities, but moreover, the extent of threshold change between opportunities also showed a decreasing pattern (i.e., second derivative of the decision threshold curve < 0). …”