The enzyme states and their relative weights within the system in quasi-equilibrium. by J. Roadnight Sheehan (20141887)

Dynamic system state in demand scenarios 2. by Bin Zhao (276445)

Dynamic system state in demand scenarios 3. by Bin Zhao (276445)

Dynamic system state in demand scenarios 1. by Bin Zhao (276445)

Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

Steering system model. by Honglei Pang (22693724)

“…This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

Braking system model. by Honglei Pang (22693724)

“…This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

Main parameters of braking system. by Honglei Pang (22693724)

“…This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

EMB and SBW system structure. by Honglei Pang (22693724)

“…This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

Main parameters of steering system. by Honglei Pang (22693724)

“…This involves designing a continuous state space and action space that incorporate vehicle states and road surface parameters. …”

Source of Systemic Risk Indicators. by Yichao Mo (5510999)

“…Importantly, PMP affects state and non-state banks differently, decreasing top-down risks in state banks but increasing them in non-state banks. …”

PCA for Systemic Risk Measures. by Yichao Mo (5510999)

“…Importantly, PMP affects state and non-state banks differently, decreasing top-down risks in state banks but increasing them in non-state banks. …”

Mean and standard error of pupil diameter in the dim states. by Tomoe Hayakawa (20978784)

Subjects:

Change of state variables before and after model simulation. by Qiaohui Tong (21696406)

Four‐state Markov model parameter inputs. by Collin Mangenah (2282995)

Water Withdrawal and Consumption Trends for Thermoelectric-Power Plants in the Conterminous United States, 2008–2020 by Kenneth D. Skinner (22280459)

Subjects:

Schematic of augmented reality system with tactile stimulator. by Kirralise J. Hansford (20670869)

IRFs of banks’ systemic risks when using 4 lags. by Yichao Mo (5510999)

“…Importantly, PMP affects state and non-state banks differently, decreasing top-down risks in state banks but increasing them in non-state banks. …”

Label distributions across mental states and dataset splits. by Thierry Jean (20691795)

Subjects: