S1 Dataset - by Junxia Zhou (14381598)

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Mineral content of raw materials. by Junxia Zhou (14381598)

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Technical parameters of ultrafine cement. by Junxia Zhou (14381598)

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Technical parameters of PVA fiber. by Junxia Zhou (14381598)

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Sample preparation and testing flow chart. by Junxia Zhou (14381598)

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XRD patterns of MUCG at different curing age. by Junxia Zhou (14381598)

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FTIR spectra of MUCG at different curing age. by Junxia Zhou (14381598)

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Description of fitting models. by Junxia Zhou (14381598)

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Mineral composition of UFC, B, and SF. by Junxia Zhou (14381598)

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Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Schematic diagram of 11 linear measurements taken on skulls. by Kimberly A. Schoenberger (22097040)

Characteristics of studied included. by Razieh Bidhendi-Yarandi (7139387)

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Flowchart of the search process. by Razieh Bidhendi-Yarandi (7139387)

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Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

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Table 2_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx by Yulin Zhang (510822)

“…Gene Expression Omnibus (GEO), normal and tumor tissue microarrays (TMA), and tumor tissue samples from patients with HNSCC were observed that a high level of HNRNPC expression was closely linked to a poor prognosis among patients. Knockdown of HNRNPC in the HNSCC cell lines HSC-3 and CAL-27 resulted in a significant decrease in proliferation, invasion, and malignant transformation abilities. …”

Table 1_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx by Yulin Zhang (510822)

“…Gene Expression Omnibus (GEO), normal and tumor tissue microarrays (TMA), and tumor tissue samples from patients with HNSCC were observed that a high level of HNRNPC expression was closely linked to a poor prognosis among patients. Knockdown of HNRNPC in the HNSCC cell lines HSC-3 and CAL-27 resulted in a significant decrease in proliferation, invasion, and malignant transformation abilities. …”

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 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 trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

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)

Changes in the physiological indexes of two oat varieties under drought stress and normal water supply treatments. by Caijin Chen (3107787)

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WGCNA of the sample characteristics and proteins of the two oat varieties under drought stress. by Caijin Chen (3107787)

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