Contributors:Pergolizzi, Joseph V., Magnusson, Peter, LeQuang, Jo Ann, Razmi, Robin, Zampogna, Gianpietro, Taylor, Robert
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Additional file 4: Figure S1. Estimation of the number of clusters in SNP dataset using STRUCTURE and Discriminant Analysis of Principal Components (DAPC). a STRUCTURE ΔK using Evanno method (left) and probability by K (right)  for K = 1–7. b Bayesian information criterion (BIC) for 1 to 20 clusters using K means clustering preparation for DAPC.
Additional file 5: Figure S5. Effect of ABA on expression levels of the PIP2 gene and water potential of leaves in rice plants under heat stress. a and b, Relative expression of PIP2; c and d, Leaf water potential. Vertical bars denote standard deviations (PIP2, n = 3; Leaf water potential, n = 4). Different letters indicate a significant difference among the ABA treatments under the control and heat-stressed conditions within a genotype by two-way analysis of variance for two factors (temperature and treatment) (P
Yellow fibers, L=4 mm, d=0.01 mm, ro=1,07 g/cm3 ;Experimental basin 32×15.2×22.5 cm, distilled prefiltered (100 mkm) water;Heating plate 30×14 cm (2 mm thickness) at the bottom - 10% power, 8 Wt;Average velocity of fibers 2.54
Playback speed 3x
Fibers moving near bottom
Contributors:Kim, Mira, Chae, Kyung-Hee, Youn-Jee Chung, Hwang, HyeJin, Lee, MinKyung, Hyun-Kyung Kim, Cho, Hyun-Hee, Mee-Ran Kim, Chai-Young Jung, Sukil Kim
Additional file 2: Supplementary Figure S1. The number of prevalent cases and misclassification rate detected by various lengths of the look-back period per year between 2003 and 2013 forwomen with uterine leiomyoma.