Dose-dependent effect of dental materials on the survival of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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

“…The changes in the physical and chemical characteristics of aged MNPs significantly influence their environmental behavior by releasing additives, forming byproducts, and adsorbing contaminants. …”

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

“…The changes in the physical and chemical characteristics of aged MNPs significantly influence their environmental behavior by releasing additives, forming byproducts, and adsorbing contaminants. …”

Kaplan-Meier curves and time-dependent Cox regression for outcome of mortality. by Jennifer M. Kwan (3350321)

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Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... by David Vagni (8060432)

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Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Dose-dependent effect of dental materials on hatching rate of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Bluetooth beacons with colour coded lanyards. by J Mark Ansermino (13958512)

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Association of changes in MVPA between two biennial health screening periods (2013 to 2014 and 2015 to 2016) with risk of depression. by Su Kyoung Lee (457838)

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Forest plot of the effect of high-dose TXA on operation time. by Xin Liu (43569)

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Image 2_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

Image 3_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

Image 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

Table 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.xlsx by Joseph W. P. Nakoa (21796214)

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

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

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Table 1_Food scarcity and decrease in income are associated with depression after COVID-19 pandemic in rural settings.docx by Dharmendra Gahwai (20987825)