Differences in ranking of role model characteristics by different classes of students.

<p>Differences in ranking of role model characteristics by different classes of students.</p

Pair wise comparison of rating scores among different year students.

<p>Pair wise comparison of rating scores among different year students.</p

Clustering Results of Synthetic Dataset1.

<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Clustering result produced by GBHC-TREE has 7 clusters. C) Clustering result produced by GBHC-NODE has 7 clusters. D) Clustering result produced by AE has 7 clusters.</p

Bayesian hierarchical clustering.

<p>A) A dendrogram represents the merger process of BHC. Each vertical line represents a cluster. A horizontal line connecting between any two vertical lines represents the merger of clusters, where its height is related to the dissimilarity measure between the merged clusters. B) A schematic shows datasets and merged into , where , and are the associated mergers that make , and , respectively. C) BHC prunes the dendrogram at , resulting in the final partition.</p

Clustering Results of Synthetic Dataset2.

<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) clustering result produced by GBHC-TREE has 14 clusters. C) clustering result produced by GBHC-NODE has 37 clusters. D) clustering result produced by KE has 4 clusters.</p

Clustering Results of Synthetic Dataset3.

<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Clustering result produced by GBHC-TREE has 22 clusters. C) Clustering result produced by GBHC-NODE has 12 clusters. D) Clustering result produced by KE has 5 clusters.</p

Clinical and Biochemical characteristics of patients.

<p><b>Upper Panel</b>: Clinical characteristics of GDM and controls utilized in this study. (OGTT =  Oral glucose tolerance test, NS =  Non-significant, p<0.05*  =  statistically significant).</p><p><b>Lower Panel</b>: Biochemical profiles of maternal and cord blood from GDM and controls at delivery. (HDL =  High density lipoproteins, LDL =  Low density lipoproteins, HOMA-IR =  homeostasis model assessment of insulin resistance, p<0.05* =  statistically significant.).</p><p>* = statistically significant.</p

Secretion of IL-6, TNF-alpha and sCD163 from placental and adipose tissue explants.

<p>Measurements of adipose (A, B and C) and placental (D, E and F) explants secretion of IL6 (A and D) TNF-alpha (B and E) and sCD163 (C and F). Explants were cultured in CMRL-1066 medium (Invitrogen, Paisley, UK) supplemented with 5% Fetal Calf Serum (Invitrogen, Paisley, UK), 100 µg/ml streptomycin sulphate and 100 IU/ml penicillin. (GDM = gestational diabetes; sCD163 = Soluble CD163; IL-6 = Interleukin 6; TNF-alpha = Tumor necrosis factor alpha [*p<0.05]).</p

Immunohistochemistry and cell count of CD163 positive cells in GDM (A and B) and controls (C and D) of placental (A and C) and adipose tissues (B and D).

<p>CD163 positive cells, in ten random areas at 40× magnification for placenta and adipose tissues respectively were counted and analysed using image J. Mean with SEM of CD163 positive cell in placenta (E) and adipose tissues (F) [*p<0.05, **p<0.001].</p

Correlation Analyses of maternal sCD163, maternal IL-6, maternal TNF-alpha and fetal IL-6.

<p>A Pearson product-moment correlation coefficient was computed to assess the relationship between Maternal sCD163 and Maternal IL-6, Fetal IL-6 and Maternal TNF-alpha across the whole cohort, the GDM cohort and the control cohort. (* =  statistically significant.)</p><p>* = statistically significant.</p