Geographic locations of the seven experimental stations used in the study. by Fatima Henkrar (17346528)

Comparison of wind roses between ERA5 reanalysis and in-situ measured data. a: W03 station, b: W08 station, c: W13 station and d: W19 station. by Weidong Ji (129916)

Frequency distribution of the hourly ERA5 reanalysis vs observations illustrating the best score (a: W02 station and b: W11 station) and the poorest score (c: W18 station and b: W1... by Weidong Ji (129916)

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. …”

Deformation monitoring system in mining area including reference station and monitoring station. by Jiang Li (272926)

Location on the map of each wind observation station. by Weidong Ji (129916)

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

Location of the YLRB and distribution of 4 hydrological stations. by Jintao Li (448681)

Taylor diagrams for each model for different station test periods. by Jintao Li (448681)

Predicted plots of runoff datasets for LHK and JP hydrological stations. by Jintao Li (448681)

Location of weather stations used in the study. by Maksim Khitrykau (20107936)

Regression plots of test data from LHK and JP hydrological stations. by Jintao Li (448681)

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)

Wind speed box plots at observation stations (red) and ERA5 cells (green) at heights of 10m and 100m, respectively. by Weidong Ji (129916)

Distance-based redundancy analysis (dbRDA) plot performed from the distance-based linear model permutation test (DistLM) that describes the aggregation of sampling stations at ever... by Francisco Flores-de-Santiago (20391063)

What is the optimal In2Care stations density to achieve Aedes aegypti population reduction in a dengue endemic setting? by Rafael Freitas (16738416)

“…In the Tremendão area, which had the highest density (~555 stations per km²), the Ovitrap Positivity Index (OPI) decreased from 56.9% to 31.5%, while the average number of eggs per positive paddle dropped from 41.2 to 18.1—representing a 56% reduction in egg counts. …”

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)

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

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)