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

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

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)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

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. …”

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

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)