Graded loading creep stress loading level. by Dengke Yang (842532)

“…The results reveal that (1) freeze-thaw cycles exert a significant influence on the rock’s creep behavior, with axial strain, instantaneous strain, and creep strain increasing progressively with the number of freeze-thaw cycles; (2) dual-fractured rock samples with varying fracture angles exhibit distinct differences in creep phenomena, where increased fracture angles result in pronounced increases in instantaneous and creep strains, and higher horizontal stress levels lead to greater strain generation; (3) all rock samples with different pre-existing fractures exhibit rock bridge breakthrough during creep failure, and the variation in fracture angle affects the failure mode; (4) and the long-term strength of the rock varies with changes in fracture angle and freeze-thaw cycle frequency, showing an increasing trend with greater fracture angles but a rapid decrease with increasing freeze-thaw cycles. …”

Schematic diagram of rock samples. by Dengke Yang (842532)

“…The results reveal that (1) freeze-thaw cycles exert a significant influence on the rock’s creep behavior, with axial strain, instantaneous strain, and creep strain increasing progressively with the number of freeze-thaw cycles; (2) dual-fractured rock samples with varying fracture angles exhibit distinct differences in creep phenomena, where increased fracture angles result in pronounced increases in instantaneous and creep strains, and higher horizontal stress levels lead to greater strain generation; (3) all rock samples with different pre-existing fractures exhibit rock bridge breakthrough during creep failure, and the variation in fracture angle affects the failure mode; (4) and the long-term strength of the rock varies with changes in fracture angle and freeze-thaw cycle frequency, showing an increasing trend with greater fracture angles but a rapid decrease with increasing freeze-thaw cycles. …”

Rock mechanics testing machine. by Dengke Yang (842532)

“…The results reveal that (1) freeze-thaw cycles exert a significant influence on the rock’s creep behavior, with axial strain, instantaneous strain, and creep strain increasing progressively with the number of freeze-thaw cycles; (2) dual-fractured rock samples with varying fracture angles exhibit distinct differences in creep phenomena, where increased fracture angles result in pronounced increases in instantaneous and creep strains, and higher horizontal stress levels lead to greater strain generation; (3) all rock samples with different pre-existing fractures exhibit rock bridge breakthrough during creep failure, and the variation in fracture angle affects the failure mode; (4) and the long-term strength of the rock varies with changes in fracture angle and freeze-thaw cycle frequency, showing an increasing trend with greater fracture angles but a rapid decrease with increasing freeze-thaw cycles. …”

Summary of measured parameters. by Aaron L. Sayler (19797446)

“…Male KO mice showed a significant increase in metabolic activity relative to male WT mice. …”

Raw data. by Aaron L. Sayler (19797446)

“…Male KO mice showed a significant increase in metabolic activity relative to male WT mice. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Gametes from bleached corals showed a broadscale decrease in metabolic proteins involved in carbohydrate metabolism, citric acid cycle, and protein translation. …”

Exploring Metalloproteome Remodeling in Calprotectin-Stressed Acinetobacter baumannii Using Chemoproteomics by Maximillian K. Osterberg (22514185)

“…A majority of the 2645 quantifiable Cys-containing peptides that show an increase in abundance-corrected Cys reactivity (150) are derived from known Zn-, Fe-, and Fe–S-cluster proteins, revealing a significant decrease in metal occupancy (undermetalation) across the proteome. …”

Exploring Metalloproteome Remodeling in Calprotectin-Stressed Acinetobacter baumannii Using Chemoproteomics by Maximillian K. Osterberg (22514185)

“…A majority of the 2645 quantifiable Cys-containing peptides that show an increase in abundance-corrected Cys reactivity (150) are derived from known Zn-, Fe-, and Fe–S-cluster proteins, revealing a significant decrease in metal occupancy (undermetalation) across the proteome. …”

Exploring Metalloproteome Remodeling in Calprotectin-Stressed Acinetobacter baumannii Using Chemoproteomics by Maximillian K. Osterberg (22514185)

“…A majority of the 2645 quantifiable Cys-containing peptides that show an increase in abundance-corrected Cys reactivity (150) are derived from known Zn-, Fe-, and Fe–S-cluster proteins, revealing a significant decrease in metal occupancy (undermetalation) across the proteome. …”

Structure diagram of ensemble model. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Fitting formula parameter table. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Test plan. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Fitting surface parameters. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”

Model generalisation validation error analysis. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”