Coefficient estimation and test of the segmented intervention models with ARMA(1,1)×(1,1)₁₂.

<p>Coefficient estimation and test of the segmented intervention models with ARMA(1,1)×(1,1)₁₂.</p

Cost break down of 450 completed house units from 1999 to 2006 in the city of Syracuse, New York.

<p>Cost break down of 450 completed house units from 1999 to 2006 in the city of Syracuse, New York.</p

Trend change of children's BLLs after each intervention in the city of Syracuse, New York.

<p>Trend change of children's BLLs after each intervention in the city of Syracuse, New York.</p

Coefficient estimation of the intervention model ARMA(1,1)×(1,1)₁₂ (Eq 1).

<p>Coefficient estimation of the intervention model ARMA(1,1)×(1,1)₁₂ (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0171778#pone.0171778.e001" target="_blank">Eq 1</a>).</p

Coefficient estimation and test of the piecewise regression (Eq 3).

<p>Coefficient estimation and test of the piecewise regression (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0171778#pone.0171778.e011" target="_blank">Eq 3</a>).</p

DBH (cm), total tree height (H, m) and components and total biomass (SB, BB, FB, RB and TB are stem, branch, foliage, root and total tree biomass in kg).

<p>DBH (cm), total tree height (H, m) and components and total biomass (SB, BB, FB, RB and TB are stem, branch, foliage, root and total tree biomass in kg).</p

Tree components carbon concentration (SCC, BCC, FCC, RCC, TCC were stem, branch, foliage, root and total carbon concentration).

<p>Tree components carbon concentration (SCC, BCC, FCC, RCC, TCC were stem, branch, foliage, root and total carbon concentration).</p

The geographical location of study area in the Heilongjiang province, China.

<p>The geographical location of study area in the Heilongjiang province, China.</p

RMAE_rc of four methods for the carbon stock prediction of tree components and total.

<p>The error bars correspond to the lower and upper limits of the 95% confidence intervals.</p

DataSheet1_Insights into the binding mode of AS1411 aptamer to nucleolin.docx

AS1411 aptamer can function as a recognition probe to detect the cell surface nucleolin overexpressed in cancer cells, however, little is known about their binding process. This study proposed a feasible binding mode for the first time and provided atomic-level descriptions for the high affinity and specific binding of AS1411. The binding pose predicted by docking was screened using knowledge-based criteria, and a microsecond molecular dynamics (MD) simulation showed the stable existence of the predicted structure in the solution. Structural analysis shows that the unique capping of the 5′ end of AS1411 provides the specific binding with RBD1, and the interactions of hydrogen bond, salt bridge, and water-mediated network between AS1411 and RBD1,2 stabilize the binding. The calculation of per-residue decomposition emphasizes the dominant contribution of van der Waals energy and critical residues are screened. Our study provides the molecular basis of this specific binding and can guide rational AS1411-based aptamers design. Further insights require tight collaborations between the experiments and in silico studies.</p