Innovation and night light in large and small cities. by Saul Estrin (8629173)

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

The flowchart of the large model for font style transfer. by Weijia Zhu (65481)

Assessment values of machine learning models. by Bin Pan (742525)

Subjects:

Decrease in loss during the training process. by Muhammad Idrees (92773)

Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin. by Nic Gedney (19762301)

Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Simulated regional mean wetland seasons. by Nic Gedney (19762301)

Decadal mean regional hydrology. by Nic Gedney (19762301)

Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

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)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Impolite prompting resulted in a significant decrease in disinformation production across all models (davinci-002, 59%; davinci-003, 44%; and gpt-3.5-turbo, 28%) and a slight reduction for gpt-4 (94%).…”

Machine Learning Models for High Explosive Crystal Density and Performance by Jack V. Davis (9175514)

“…To elucidate descriptor importance, we evaluated interpretable descriptors in terms of importance and compared the accuracy of a statistics-driven machine learning model against a model comprised of descriptors typically assumed to control material density. …”

Large state-wide variation (11.1-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2015 ^a indicates ≥1.50 SD (20.2) from the mean (36.... by Luke R. Cavanah (19022435)

Large state-wide variation (8.6-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2017 ^a indicates ≥1.50 SD (18.0) from the mean (33.1... by Luke R. Cavanah (19022435)