Variasi Temperatur Pencampuran Terhadap Parameter Marshall Pada Campuran Lapis Aspal Beton

This study was conducted to determine the effect of temperature variations on the mixing processof the asphalt concrete AC-WC (Asphalt Concrete-Wearing Course) subtle gradations in themiddle limit and lower limit of the Marshall parameters with reference to specifications of BinaMarga, 2010.From the results of experiments conducted that the optimum asphalt content is used to middle limitusing a asphalt content of 5,7% and 6,8% for the lower limit after that mixing was done usingtemperature variation of 120 o C, 130 o C, 140 o C, 150 o C, and 160 o C.To a mixture of Laston AC-WC subtle gradations middle limit grading 5,7% asphalt contentmixing temperature using a temperature of 120 o C, 130 o C, 140 o C, 150 o C, 160 o C and still meet allstandards of marshall parameters. Ideal mixing temperature variations in the middle limit ofmixing temperature 150 o C-160 o C. While the lower limit to the level of 6,8% asphalt contentmixing temperatures between 120 o C-160 o C did not meet the specifications, because the MQ valuebelow the minimum value of 250 kg / mm

Mostly potential GO functions of disorder model biomarker.

<p>Mostly potential GO functions of disorder model biomarker.</p

Predictive performances of disorder model.

<p>MDD: Major depression disorder; SSD: Subsyndromal symptomatic depression; HC: Healthy controls.</p

Functional annotation of the DEGs in SSD and MDD.

<p>(A) and (C) Pathway analysis of SSD-associated and MDD-associated genes respectively. The y-axis shows the KEGG Pathway terms, and the x-axis shows the enrichment significance P-values for the top 10 enriched Pathway terms. (B) and (D) GO analysis of SSD-associated and MDD-associated genes respectively. The y-axis shows the GO terms, and the x-axis shows the enrichment significance P-values for the top 10 enriched GO terms. Term GO:0004719 remarks the function of protein-L-isoaspartate (D-aspartate) O-methyltransferase activity. MDD: Major depression disorder; SSD: Subsyndromal symptomatic depression.</p

Demographic data for patients and healthy controls.

<p>MDD: Major depression disorder; SSD: Subsyndromal symptomatic depression; HC: Healthy controls.</p

Biomarkers differentiation efficiency among MDD group, SDD group and HC.

<p>(A) Complete linkage clustering analysis with 16 samples using 30 biomarkers under the criteria of adjusted.P< = 5E-4 between MDD and HC. (B) Complete linkage clustering analysis with 16 samples using 63 biomarkers under the criteria of adjusted.P< = 1E-4 between SSD and HC. (C) Complete linkage clustering analysis with 16 samples using 123 biomarkers under the criteria of adjusted.P< = 1E-4 between SSD and MDD. MDD: Major depression disorder; SSD: Subsyndromal symptomatic depression; HC: Healthy controls.</p

Mostly potential signatures of gene expression profiles models for classification of MDD and SSD.

<p>MDD: Major depression disorder; SSD: Subsyndromal symptomatic depression; HC: Healthy controls.</p

Mostly potential pathways of disorder model biomarker.

<p>Mostly potential pathways of disorder model biomarker.</p

Demographics and clinical characteristics of patients with acute bipolar depression.

<p>Demographics and clinical characteristics of patients with acute bipolar depression.</p

Predictors for guideline-disconcordant treatments and antidepressant monotherapy in acute bipolar depression.

<p>Predictors for guideline-disconcordant treatments and antidepressant monotherapy in acute bipolar depression.</p