Descriptive statistics and estimated parameters of length-weight relationships (w = <i><i>a</i></i>L^<i>b</i>) for <i><i>E. erythropterus</i></i> before and after opening... by Jeong-Soo Gim (18058588)

iBAT characterization of the <i>aP2-Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

a Positive ion mode correlation heat map (A) Mild PTOA group VS Severe PTOA group (B) Mild PTOA group VS normal group (C) Severe PTOA group VS normal group. b. Negative ion mode co... by Peng-fei Han (694841)

PCA of bacterial communities. by Jun Sun (48981)

“…A significant positive correlation was observed between AK and both <i>Firmicutes</i> and <i>Kapabacteria</i> individually; furthermore, AP exhibited a highly significant positive correlation with <i>Kapabacteria</i> but a significant negative correlation with <i>unidentified Archaea</i>. …”

OUT Venn diagram. by Jun Sun (48981)

“…A significant positive correlation was observed between AK and both <i>Firmicutes</i> and <i>Kapabacteria</i> individually; furthermore, AP exhibited a highly significant positive correlation with <i>Kapabacteria</i> but a significant negative correlation with <i>unidentified Archaea</i>. …”

Molecular dynamics simulation results for Apo-TP53 (red), wild-typeTP53. by Ashraf Attia Mahmoud (21262201)

(a) Data Acquisition System (b) Real time data collection. by Shaheer Ahmed Khan (17797647)

LEfSe analysis of root zone soil bacterium from different tea varieties. by Jun Sun (48981)

RDA and pearson correlation analysis of soil bacterial communities and soil environmental factors. by Jun Sun (48981)

Gentamicin treatment selects for surviving bacteria with reduced S10 expression in the mouse spleen. by Justin Greene (306625)

Ribosomal reporter expression is heightened in exponential phase cells. by Justin Greene (306625)

Pretreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

Data Sheet 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.docx by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 2_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 5_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 6_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 4_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 3_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Cephalometric measurement points. by Lijuan Liu (136685)