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

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Data Sheet 1_Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.docx by Lili Zhou (265076)

“…Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. …”

Maps (left) and diagrams (right) from the definition of the Core Areas based on the sites dated to Greenland Stadial (GS) 1. The maps of dataset A (upper, sites n = 1003) and datas... by Isabell Schmidt (6331013)

Linear regression analysis. by Young Kyu Lee (14076058)

“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”

Patient characteristics. by Young Kyu Lee (14076058)

“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”

<b>Data used in research article: </b><b>Coral tissue depth reconstructed using skeletal microstructural offsets is driven by environmental stress</b> by James Vincent (22772042)

“…Large environmental disturbances such as the 2021 volcanic eruption of La Soufrière (St. …”

Photomicrographs of H&E-stained cerebellum sections from control and different pregnant mothers: control (A & B) and BM (C & D) groups, showing normal histological structure of the... by Amoura M. Abou-El-Naga (21001524)

A set of 4 criteria for the needs of multi-criteria evaluation ‐ combinations B1– B5. by Roman Vavrek (13200141)

A set of 3 criteria for the needs of multi-criteria evaluation ‐ combinations C1–C10. by Roman Vavrek (13200141)

A set of 2 criteria for the needs of multi-criteria evaluation ‐ combinations D1–D10. by Roman Vavrek (13200141)

Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

“…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”

Mortality rates per lifecycle stage [28]. by Albertus Constantijn Sloof (20405090)

“…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”

Summary statistics of key variables. by Saul Estrin (8629173)

“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”

Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

Duration of development between lifecycle stage of mosquitoes [28]. by Albertus Constantijn Sloof (20405090)

Bar graphs showing the total loss rates and 95% confidence intervals for each region in Ethiopia, Kenya, and Benin. by Beatrice T. Nganso (4114768)

Graph representation of the microbial activity model. by Mouad Klai (20818364)

Map with color coding showing the relative risk of loss at the regional level for each country in Sub-Saharan Africa. by Beatrice T. Nganso (4114768)

Pie charts showing the different patterns of risk factors associated with total colony losses. by Beatrice T. Nganso (4114768)