Ecological and Health Risk Mediated by Micro(nano)plastics Aging Process: Perspectives and Challenges by Kexiao Song (13003200)

“…Through combining meta-analysis and analytic hierarchy process (AHP) model, we demonstrated that, compared to virgin MNPs, aged MNPs would result in biomass decrease and oxidative stress increase on organisms and lead to total N/P decrease and greenhouse gas emissions increase on ecosystems while causing cell apoptosis, antioxidant system reaction, and inflammation in human health. …”

Clinical data of dogs and comparisons among groups. Values are distributed into 4 groups based on the value of the perfusion index (PI). Groups P1, P2, P3, and P4 included measurem... by Francesca Zanusso (18864843)

Renal outcomes of both treatment groups. by Marwan El-Deyarbi (21688492)

“…Participants in the multifactorial group achieved a significant mean difference in low-density lipoprotein cholesterol levels (mean difference = −0.14, 95% CI: −0.27–0.001, P < 0.03), and significant adjusted mean difference of eGFR levels difference (3.93 mL/min/1.73 m², 95% CI: 1.27–6.58, P < 0.01) at study completion compared to those in the control group. …”

Results for the asymmetric relationship between military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

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Coefficient plot of short-run effects. by Ryan P. Thombs (9138968)

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Seven forecast scenarios. by Ryan P. Thombs (9138968)

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Annual Difference in Energy Consumption Relative to Historical Median Change by 2032. by Ryan P. Thombs (9138968)

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Coefficient plot of long-run effects. by Ryan P. Thombs (9138968)

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Results for the asymmetric relationship between military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

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Time series of military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

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Forecast for each scenario, 2023-2032. by Ryan P. Thombs (9138968)

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Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)

Unique intestinal microbiota in healthy shrimp. by Lalitphan Kitsanayanyong (19353505)

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Taxa bar plot of intestinal microbiota from healthy and diseased shrimp at the genus level. by Lalitphan Kitsanayanyong (19353505)

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Taxa bar plot of intestinal microbiota from healthy and diseased shrimp at the class level. by Lalitphan Kitsanayanyong (19353505)

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Functional feature prediction of intestinal microbiota from healthy (blue) and diseased (orange) shrimp. by Lalitphan Kitsanayanyong (19353505)

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Taxa bar plot of intestinal microbiota from healthy and diseased shrimp at the phylum level. by Lalitphan Kitsanayanyong (19353505)

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Venn diagram based on ASVs of intestinal microbiota from healthy and diseased shrimp. by Lalitphan Kitsanayanyong (19353505)

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β-diversity of intestinal microbiota from healthy and diseased shrimp. by Lalitphan Kitsanayanyong (19353505)

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Unique intestinal microbiota in diseased shrimp. by Lalitphan Kitsanayanyong (19353505)

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