Results 201 to 210 of about 286,579 (299)
Emotional prompting amplifies disinformation generation in AI large language models. [PDF]
Vinay R+3 more
europepmc +1 more source
Toxicity Study on a Marine Snail Turbo Argyrostoma-III
Takeshi YASUMOTO, Mitsuharu ENDO
openalex +2 more sources
Analysis of Tevatron Vacuum Resilience to Valved Turbo Pumps at B2 [PDF]
M. J. Longo
openalex +1 more source
Abstract Despite the role of extracellular vesicles (EVs) in genetic and biogeochemical exchange in the ocean, there is a notable dearth of studies delving into the seasonal annual dynamics of EVs in uncultured microbial communities. Here, quantitative data from the oligotrophic Mediterranean Sea revealed that EVs mL−1 ranged from 104 to 106 throughout
Nadefa Adda Nekrouf+4 more
wiley +1 more source
Artificial Intelligence vs. Human Cognition: A Comparative Analysis of ChatGPT and Candidates Sitting the European Board of Ophthalmology Diploma Examination. [PDF]
Maino AP+6 more
europepmc +1 more source
Abstract The Japanese turban snail Lunella coreensis is sensitive to ocean currents due to its short pelagic larval stage and moderate dispersal ability, making it an ideal model for studying genetic diversity shaped by paleoclimatic shifts. In this study, we analyzed the mitochondrial genes COI and 12S of museum samples collected from various coasts ...
Davin H. E. Setiamarga+5 more
wiley +1 more source
Highly efficient cryogenic yellow laser performance of Tb:YLF (Tb3+:LiYF4) is reported. The room temperature slope efficiency of 36% increases to 61% at 100 K, while the wavelength changes from 587 to 581 nm. Moreover, red laser emission at 624 nm with 47% slope efficiency at 78 K is demonstrated.
Moritz Badtke+4 more
wiley +1 more source
A 3D natural sponge named Luffa Cylindrica (LC) and cellulose acetate (CA) microfibrous layers fabricated through electrospinning are combined in various configurations, showing potential as innovative, eco‐friendly solutions for sound absorption applications.
Viktoria Theodorou+5 more
wiley +1 more source
Detecting implicit biases of large language models with Bayesian hypothesis testing. [PDF]
Si S, Jiang X, Su Q, Carin L.
europepmc +1 more source