The experimental set-up we used. by Hillary Jean-Joseph (9676166)

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. …”

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

Microfluidic-Integrated Chip Resonators for Electron Spin Sensing in Submicromolar, Submicroliter Solutions by Nandita Abhyankar (2123557)

Observation of Coherent Spin Waves in a Three-Dimensional Artificial Spin Ice Structure - data by S Sahoo (10264712)

“…<p>The spin wave (SW) dynamics of the 3D array were measured by using conventional Brillouin light scattering (BLS) technique. …”

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Regioisomeric Engineering for Multicharge and Spin Stabilization in Two-Electron Organic Catholytes by H. T. Katie Chung (20496481)

“…With the aim to further expand the molecular toolbox for charge and spin stabilization, we introduce regioisomerism as a scaffold-diversifying design element that considers the collective and cumulative electronic and steric contributions from all of the substituents based on their relative regioisomeric arrangements. …”

Structural and Electronic Response of Fe(II) Hofmann-Type Conjugated Coordination Polymers to Spin Crossover by Shahid Akbar (20377493)

“…Employing a supercell consisting of four Fe SCO centers we cover a range of full to partial high-spin (HS) and low-spin (LS) states. …”

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

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)

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

“…Decreased GM volume was also observed in the PTSD group in the right temporal lobe (parahippocampal gyrus, middle temporal lobe), compared to the HC group. …”

Ferroelectricity and a 1/3-Magnetization Plateau in the Polar Magnet LiFeV₂O₇ with Fe³⁺ Ions in a Twisted Diamond Chain by Ravi Shankar P N (9740817)

“…We investigated the thermodynamic properties and spin exchanges of the polar magnet LiFeV₂O₇ through experiments and density functional theory calculations. …”

Relation of the gGM and CSF fMRI signals across experiments. by Juliana Zimmermann (10507091)

Cross-correlation analysis-the PFI signal precedes the gGM and CSF fMRI signals. by Juliana Zimmermann (10507091)

Numerical values underlying all Figs. by Juliana Zimmermann (10507091)

“…We indirectly monitored CBV changes with a high temporal resolution based on associated changes in total brain volume by functional MRI (fMRI) and measured cerebral blood flow by arterial spin-labeling. …”

Coupled gGM and CSF fMRI signal changes induced by a transient hypercapnia challenge. by Juliana Zimmermann (10507091)

Bidirectional grey-matter CBF changes induced by a hypercapnic challenge. by Juliana Zimmermann (10507091)

Coupled neuronal activity, gGM, PFI, and CSF fMRI signals during burst-suppression anesthesia. by Juliana Zimmermann (10507091)