Optimal Latin square sampling distribution. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

2C discharge rate grid independence test. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Feasibility diagram of design points. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Related parameters of square LIBs. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Multi objective optimization design process. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Battery pack model. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Functional Delivery Systems for Targeting Tumor Heterogeneity: Reversing Immunosuppression and Modulating Cancer-Immune Interplay by Di Han (618795)

“…By developing a delivery vector that specifically targets circulating malignant cells (CMCs) in patient blood samples, we established an ex vivo platform to study the dynamic interplay between patient-derived cancer cells and immune cells. …”

Functional Delivery Systems for Targeting Tumor Heterogeneity: Reversing Immunosuppression and Modulating Cancer-Immune Interplay by Di Han (618795)

“…By developing a delivery vector that specifically targets circulating malignant cells (CMCs) in patient blood samples, we established an ex vivo platform to study the dynamic interplay between patient-derived cancer cells and immune cells. …”

Functional Delivery Systems for Targeting Tumor Heterogeneity: Reversing Immunosuppression and Modulating Cancer-Immune Interplay by Di Han (618795)

“…By developing a delivery vector that specifically targets circulating malignant cells (CMCs) in patient blood samples, we established an ex vivo platform to study the dynamic interplay between patient-derived cancer cells and immune cells. …”

Functional Delivery Systems for Targeting Tumor Heterogeneity: Reversing Immunosuppression and Modulating Cancer-Immune Interplay by Di Han (618795)

“…By developing a delivery vector that specifically targets circulating malignant cells (CMCs) in patient blood samples, we established an ex vivo platform to study the dynamic interplay between patient-derived cancer cells and immune cells. …”

Image 1_Ketogenic diet–induced changes in methylation status and neuropeptide signaling: relationships between S-adenosylmethionine (AdoMet), orexin-A, and metabolic health.pdf by Laura Mosca (704904)

“…Circulating AdoMet (−75.7%) and Orexin-A (−7.2%) levels also decreased significantly. …”

Summary of KEGG enrichment analysis. by Zeynab Hosseinpoor (19762319)

“…While the expression levels of <i>IRS2</i>, <i>FOXO1</i>, and <i>ERK2</i> (<i>MAPK1</i>) were significantly decreased, the <i>SERPINF1</i> gene exhibited high expression simultaneously. pAAV-delivered <i>MIR-96</i> had no adverse effect on the viability of human RPE cells. …”

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>. …”

Histogram of the area factorψ. by Hong Zhang (25820)

“…The measured <i>I</i>_s decreases following a power-law trend as <i>β</i> and <i>D</i> increase, with weathering reducing the sensitivity of <i>I</i>_s to <i>β</i> but not significantly altering its sensitivity to <i>D</i>. …”

Raw dataset Fig. 6. by Hong Zhang (25820)

“…The measured <i>I</i>_s decreases following a power-law trend as <i>β</i> and <i>D</i> increase, with weathering reducing the sensitivity of <i>I</i>_s to <i>β</i> but not significantly altering its sensitivity to <i>D</i>. …”

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