BifurcationDiagram Simulations VN_ER.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

README.txt from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

BifurcationDiagram Simulations AE_ER.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

BifurcationDiagram Simulations VN_SF.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

BifurcationDiagram Simulations AE_SF.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

Presentation4_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

Presentation3_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

DataSheet1_Estimation of the P Fertilizer Demand of China Using the LePA Model.xlsx by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

Presentation2_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

DataSheet2_Estimation of the P Fertilizer Demand of China Using the LePA Model.docx by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

Presentation1_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

“…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha⁻¹ year⁻¹ in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha⁻¹ year⁻¹ after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”

Reverse-engineering the human brain using real-time fMRI by Ilknur Icke (6518690)

<b>Future Fairness Concerns: Influences on Punishment and Compensation Strategies in Fairness Maintenance</b> by Zhuang Li (10217024)

Investor relations and information asymmetry by Sandrielem da Silva Rodrigues (12830402)

<b>Future Fairness Concerns: Influences on Punishment and Compensation Strategies in Fairness Maintenance</b> by Zhuang Li (10217024)

Image_2_Combined Effect of CYP2C19 Genetic Polymorphisms and C-Reactive Protein on Voriconazole Exposure and Dosing in Immunocompromised Children.JPEG by Juan Chen (61123)

“…Meanwhile, increases of 20, 120, 245, and 395 mg/L from 5 mg/L in CRP levels were associated with increases in voriconazole dose requirements by 7.15, 14.23, 17.35, and 19.43%, respectively, in the PM group; with decreases in voriconazole dose requirements by 3.71, 7.38, 8.97, and 10.03%, respectively, in the NM group; and with decreases by 4, 9.10, 11.05, and 12.35%, respectively, in the IM group. …”

Image_1_Combined Effect of CYP2C19 Genetic Polymorphisms and C-Reactive Protein on Voriconazole Exposure and Dosing in Immunocompromised Children.JPEG by Juan Chen (61123)

“…Meanwhile, increases of 20, 120, 245, and 395 mg/L from 5 mg/L in CRP levels were associated with increases in voriconazole dose requirements by 7.15, 14.23, 17.35, and 19.43%, respectively, in the PM group; with decreases in voriconazole dose requirements by 3.71, 7.38, 8.97, and 10.03%, respectively, in the NM group; and with decreases by 4, 9.10, 11.05, and 12.35%, respectively, in the IM group. …”

Data_Sheet_4_Quantitative Proteomic Profiling of Marine Diatom Skeletonema dohrnii in Response to Temperature and Silicate Induced Environmental Stress.doc by Satheeswaran Thangaraj (8449461)

“…To understand these mechanisms, here we investigated iTRAQ based proteomic profiling of diatom Skeletonema dohrnii in a multifactorial experimental with a combining change of temperature and silicate concentrations. …”

Data_Sheet_1_Quantitative Proteomic Profiling of Marine Diatom Skeletonema dohrnii in Response to Temperature and Silicate Induced Environmental Stress.xlsx by Satheeswaran Thangaraj (8449461)

“…To understand these mechanisms, here we investigated iTRAQ based proteomic profiling of diatom Skeletonema dohrnii in a multifactorial experimental with a combining change of temperature and silicate concentrations. …”

Data_Sheet_3_Quantitative Proteomic Profiling of Marine Diatom Skeletonema dohrnii in Response to Temperature and Silicate Induced Environmental Stress.xlsx by Satheeswaran Thangaraj (8449461)

“…To understand these mechanisms, here we investigated iTRAQ based proteomic profiling of diatom Skeletonema dohrnii in a multifactorial experimental with a combining change of temperature and silicate concentrations. …”