Results 261 to 270 of about 132,281 (338)
ClipFaceFusion multi modal diffusion for high fidelity facial generation and modification. [PDF]
Jiang X, Ding Y.
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach. [PDF]
Khan HU +3 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
AI-Enhanced Qualitative Analysis in Healthcare: Unlocking Insight from Interviews of Leadership at Top-Performing Academic Medical Centers. [PDF]
Ashton T, Chatfield S.
europepmc +1 more source
[NiFe]‐hydrogenases efficiently catalyze hydrogen conversion, but their instability limits biotechnological applications. Here it is shown that encapsulating hydrogenase into hierarchical COFs with macro‐ and micropores and functionalized with sulfonic or carboxylic acid groups improves enzyme stability and electron transfer to electrodes.
Islam E. Khalil +12 more
wiley +1 more source
MicroscopyGPT: Generating Atomic-Structure Captions from Microscopy Images of 2D Materials with Vision-Language Transformers. [PDF]
Choudhary K.
europepmc +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source

