An <i>In Situ</i> TEM Study of the Diffusivity of Gold Atoms in Nanocomposite Thin Films by Zirconia Co-Deposition: Implication for Neuromorphic Devices by Alberto Casu (1285227)

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Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Comparison of the predictive performance of GSRS and the expression levels of immune checkpoint genes in relation to progression-free survival (PFS) in the subjects treated with Av... by Yu Zhang (12946)

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Loss of life expectancy that would result if colorectal cancer missed in 2011 had been diagnosed in 2011 (unit: years). by Hiroaki Saito (24514)

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Estimated detected and non-detected colorectal cancer rates and their clinical stages based on colorectal cancer screening in Minamisoma City in 2011. by Hiroaki Saito (24514)

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Conceptual diagram of survival curve and loss of life expectancy. by Hiroaki Saito (24514)

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Loss of life expectancy by age group and stage of colorectal cancer and change if detected after one year. by Hiroaki Saito (24514)

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Estimated distribution of colorectal cancer stage among patients assumed to have missed diagnosis in 2011 (unit: persons). by Hiroaki Saito (24514)

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Additional loss of life expectancy and cost per life-year saved resulting from changes in colorectal cancer stage due to a 1-year diagnostic delay. by Hiroaki Saito (24514)

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Lymphocyte proliferation assay following combination therapy with NDV. by Hedieh Zargaran (21410233)

Tumor volume measurements. by Hedieh Zargaran (21410233)

IL-10 levels in tumor lysates post-treatment. by Hedieh Zargaran (21410233)

CTL response following combination therapy with NDV. by Hedieh Zargaran (21410233)

Heat map of the Pearson correlation coefficients between progress test scores across test administrations from 2017 to 2024. by Franco Romaní-Romaní (21989788)

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”