Schematic of calculation for the point load strength. by Hong Zhang (25820)

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Relationship between <i>D</i> on <i>I</i>_s at different weathering levels (R²: 0.82, 0.89, 0.93 for highly, moderately, and slightly). by Hong Zhang (25820)

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Statistical parameters from three calculation methods. by Hong Zhang (25820)

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Histograms of <i>I</i>_s and Δ<i>D.</i> by Hong Zhang (25820)

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Relationship between <i>I</i>_s and <i>β</i> at different weathering levels (R²: 0.88, 0.83, 0.91 for highly, moderately, and slightly). by Hong Zhang (25820)

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

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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.…”

Path diagram of the 2-factor CFA analysis. by Vincenza Tarantino (182506)

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lncCyt b cooperates with hnRNPA2B1 to modulate glycolysis and exhibits physiological significance. by Jia Li (160557)

(a)(b)(c). Relationship between the OHAT-J score for “lips” or “saliva” or “dentures” and the BI at discharge. by Misaki Nakamura (756854)

Complete results of regression analyses of the candidate gene approach. by Dai Nogimura (21445649)

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Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Out-of-sample Test Results of the Drop-off Decision Models: (a) ROC Curve of the First Forced Drop-off Decision Models; (b) ROC Curve for Second and More Forced Parking and Drop-of... by Fangyi Yang (18867853)

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Data Sheet 2_An exploratory analysis of bezisterim treatment associated with decreased biological age acceleration, and improved clinical measure and biomarker changes in mild-to-m... by Christopher L. Reading (21236861)

Data Sheet 1_An exploratory analysis of bezisterim treatment associated with decreased biological age acceleration, and improved clinical measure and biomarker changes in mild-to-m... by Christopher L. Reading (21236861)

Categorisation of districts based on type of correlation observed and results of Moran’s local test for spatial correlation of coefficients and lags. by Gabriel Carrasco-Escobar (794055)

Path analysis diagram illustrating the associations between alexithymia, social support, anticipated stigma and patient satisfaction, with their respective correlation coefficients... by Keya Bibikar (22386306)

Microbial differential abundance at 24 hours post-treatment was assessed using ANCOM (<i>P</i> <  0.05). by Elena G. Olson (10649705)

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Effect of 1.25% SCFP on poultry cecal microbial composition inoculated with six multidrug-resistant (<i>MDR</i>) <i>Salmonella</i> serovars compared to a no-treatment control at 24... by Elena G. Olson (10649705)

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