The effect of age, state (i.e., wakefulness and sleep), and age:state interaction on HFD values (N = 223). by Francesco Colussi (22421582)

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)

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)

Age-structure model fitting based on data for influenza case and deaths from the 40th week of 2023 to the 17th week of 2024 for three age groups in the United States (i.e. 0–17 yea... by Shuanglin Jing (11886368)

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)

State variable definitions. by Richard Lagos (21087738)

Feature engineering. by Youli Jiang (15249070)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

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

Application to actual brain network functional states. by Remy Ben Messaoud (20521877)

“…Blue = motor imagery, red = resting state. Solid lines = average across blocks, shaded bands = standard deviation. …”

Table 1_Implementation outcomes of peer education programme comparing state-led and NGO-facilitated models in two Indian states: qualitative findings.docx by Monika Arora (3620087)

“…Introduction<p>Each Indian state can select one of the two implementation models under India’s National Adolescent Health Strategy, i.e., Rashtriya Kishor Swasthya Karyakram, either direct implementation through the existing State Health Department and systems, or the Non-Governmental Organisation (NGOs) implementation model, which involves partnering with one or more field-level NGOs to provide the services and personnel.…”

A panel of HIV forecasts for the Northeast United States obtained using data through 2022. This figure shows the forecasts produced for the Northeast United States utilizing yearly incident HIV diagnoses obtained from the publicly available Centers for Disease Control and Prevention (CDC) <i>AtlasPlus</i> dashboard [55], and assuming the default settings of <i>StatModPredict</i>.... by Amanda Bleichrodt (15236509)

“…<p>A panel of HIV forecasts for the Northeast United States obtained using data through 2022. This figure shows the forecasts produced for the Northeast United States utilizing yearly incident HIV diagnoses obtained from the publicly available Centers for Disease Control and Prevention (CDC) <i>AtlasPlus</i> dashboard [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329791#pone.0329791.ref055" target="_blank">55</a>], and assuming the default settings of <i>StatModPredict</i>. …”

Perturbations of specific cell types in spontaneous and feedforward-driven states. by Giulia Moreni (15063785)

“…<p>(A) Matrix of input-output relationships of the network in the spontaneous state. We delivered excitatory input to one population (Y-axis; see Methods) and observed its effect on others (X-axis), repeating this for all 16 populations to construct the matrix. …”

PP2B dephosphorylates pS295 <i>in vitro</i>. by Takahiko Chimura (729098)

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)