Logistic regression models for the association between actual route of delivery and method of breastfeeding^a.

a<p> <i>VD: vaginal delivery; CDMR: cesarean delivery on maternal request; CD: cesarean delivery;</i></p>b<p> <i>Odds ratio expresses the likelihood that mothers will exclusively breastfeed their babies before discharge compared to that in the reference group;</i></p>c<p> <i>Odds ratio expresses the likelihood that mothers will formula feed their babies before discharge compared to that in the reference group;</i></p>d<p> <i>Adjusted for maternal age at delivery, BMI, gestation, infant birthweight, year of delivery, location of residence, site of delivery, occupation, education level, delivery hospital level, infant sex, and mother's hospital stay before discharge.</i></p

Logistic regression models for the association between planned mode of delivery and method of feeding^a.

a<p> <i>Data shown are odds ratio (95% confidence interval) and number (percentage);</i></p>b<p> <i>Odds ratio expresses the likelihood that mothers will exclusively breastfeed their babies before discharge in the planned CDMR group compared to that in the planned VD group;</i></p>c<p> <i>Odds ratio expresses the likelihood that mothers will formula feed their babies before discharge in the planned CDMR group compared to that in the planned VD group;</i></p>d<p> <i>Adjusted for maternal age at delivery, BMI, gestation, infant birthweight, year of delivery, occupation, educational level, delivery hospital level, infant sex, mother's hospital stay before discharge, and location of residence or site of delivery or both.</i></p

The data processing to create the cohort of planned CDMR and planned VD.

<p>The data processing to create the cohort of planned CDMR and planned VD.</p

Definition of planned CDMR and planned VD (adapted from the paper published by Zhang et al.) [4].

<p>Definition of planned CDMR and planned VD (adapted from the paper published by Zhang et al.) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037336#pone.0037336-Zhang1" target="_blank">[4]</a>.</p

The possible pathways of planned CDMR and planned VD.

<p>The possible pathways of planned CDMR and planned VD.</p

Synthesis and Study of Crown Ether-Appended Tetraplatinum(II) Macrocylic Chemosensors for Cation Detection

Two new functionalized platinum(II) rectangles, Pt1 and Pt2, were designed and synthesized from phenanthro crown ether- and biphenyl polyether-bridged bicarboxylate ligands, respectively. The fluorescence titration study of rectangles Pt1 and Pt2 with alkali- and alkaline-earth-metal cations indicated that Pt1 can selectively recognize Na+, while Pt2 has selective binding ability for Mg2+. These selectivity findings suggest that the comparative size and conformational nature of the polyether receptor cavity have a crucial influence on the cation selection

Demographic characteristics according to endoscopic BE and pathological BE in the training cohort^*.

<p>^*Data shown are mean (SD) for continuous variables and number (percentage) for categorical variables</p>†<p>P for trend test.</p

ROC curve for a) endoscopically visible CLE of any length independent of histology (AUC: 0.61), b) segment containing IM≥2 cm (AUC: 0.64) in the external validation cohort (N = 477).

<p>ROCs curve were developed using the risk scores which are calculated by the weights of different predictors. The weights were developed based on the coefficients of predictors in the backward logistic regression model in the training cohort.</p

ROC curve for a) endoscopically visible CLE of any length independent of histology (AUC: 0.72), b) segment containing IM≥2 cm (AUC: 0.81) in the training cohort (N = 1603).

<p>ROCs curve were developed using the risk scores which are calculated using the weights of different predictors. The weights were developed based on the coefficients of predictors in the backward logistic regression model in the training cohort.</p

The coefficients, weights and odds ratios of selected predictors for BE.

<p>^*n/a: not applicable.</p