Experimental Workflow for the Conversion of Wastewater Algal Biomass to Biogas via Cobalt-based Catalytic Pyrolysis and Methanogenic Archaea Co-Anaerobic Fermentation. by Ning Zuo (17295415)

PRR expression in platelets and leukocytes and their changes with SARS-CoV-2 infection. by Heather Learnard (22075952)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

S1 Dataset - by Junxia Zhou (14381598)

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

Description of fitting models. by Junxia Zhou (14381598)

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

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

“…Unexpectedly, CaCO₃ content increased due to carbonation, reaching 37.3% by Day 28. …”

Autoignition Characteristics of NH₃/C₂H₆ Mixtures over Wide Pressure Ranges by Yueying Liang (14418450)

“…However, the sensitivity of H₂O₂(+M) = 2OH(+M) on ignition decreases with increasing temperature. Oxygen concentration significantly affects the IDTs for mixtures with a 10% mole fraction of ethane, while it becomes negligible for mixtures with a 50% mole fraction of ethane, and the reason behind this phenomenon requires further investigation. …”

Autoignition Characteristics of NH₃/C₂H₆ Mixtures over Wide Pressure Ranges by Yueying Liang (14418450)

“…However, the sensitivity of H₂O₂(+M) = 2OH(+M) on ignition decreases with increasing temperature. Oxygen concentration significantly affects the IDTs for mixtures with a 10% mole fraction of ethane, while it becomes negligible for mixtures with a 50% mole fraction of ethane, and the reason behind this phenomenon requires further investigation. …”

WGCNA as well as the co-expression network. by Hao Wang (39217)

“…B: Average connectivity gradually decreases with increasing soft threshold. C: Modules based on overlapping co-expression topologies of different colored mRNAs (module size > 50). …”

GSVA results. by Wan-Jing Zhen (20427813)

“…It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. …”

Differential expressed genes. by Wan-Jing Zhen (20427813)

“…It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. …”

S1 Raw image - by Wan-Jing Zhen (20427813)

“…It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. …”

Venn plot. by Wan-Jing Zhen (20427813)

“…It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. …”

Key module genes. by Wan-Jing Zhen (20427813)

“…It utilized weighted gene co-expression network analysis (WGCNA) and conducted differential expression analysis to identify key modules and genes associated with SIC. …”