Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”

Description of results of SD-TOPSIS application (combination A) using selected moment characteristics. by Roman Vavrek (13200141)

Mst1 knockout skewed macrophage polarization toward a proinflammatory and profibrotic phenotype with concomitant down-regulation of CD36. by Jianyang Li (461703)

Downregulation of CD36 impaired phagocytic capacity and is associated with a proinflammatory phenotype of <i>Mst1</i> deficiency macrophages. by Jianyang Li (461703)

Table 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. …”

Sensitivity of temperature anomaly at 10% change in parameter values. by Athira Satheesh Kumar (20570553)

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. …”

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