Results 191 to 200 of about 1,076,774 (282)
Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting? [PDF]
Alturayeif N, Hassine J.
europepmc +1 more source
Most in vitro cancer models lack cellular diversity, functional complexity, and clinical relevance. This work highlights the generation of an innovative dynamic tetraculture with autologous patient‐derived cells within a vascularized tumor‐on‐chip, as well as the recapitulation of endothelial anergy features induced by the tumor microenvironment ...
Christine Lansche+16 more
wiley +1 more source
Large language models reduce public knowledge sharing on online Q&A platforms. [PDF]
Del Rio-Chanona RM+2 more
europepmc +1 more source
Negative‐ and positive‐staining TEM is essential for rapid nanometer‐resolution characterization of organic specimens ranging from nanoparticles to cells. Uranyl salts are widely used negative‐/positive‐stains but are radioactive and highly toxic to users and the environment.
Vera M. Kissling+4 more
wiley +1 more source
Design and implementation of the dual-center programming platform for ternary optical computer and electronic computer. [PDF]
Zhang S+6 more
europepmc +1 more source
Clinical translation of biohybrid medical implants requires the previous implementation of drying schemes that can facilitate their sterilization and storage. This study addresses that critical aspect and elucidates the impact of drying on biohybrid vascular grafts, highlighting the need for implant‐specific drying strategies to ensure safety ...
Dominic Pascal Andre+5 more
wiley +1 more source
Designing for Degradation: Transient Devices Enabled by (Nano)Cellulose
Recent progress in transient devices enabled by (nano)cellulosic materials is reviewed. Transiency mechanisms, advantages of nanocelluloses, and a suite of applications are discussed. A circular thinking approach coupled with life cycle assessment is applied to critically revisit the potential, advantages, and challenges of nanocellulose‐enabled ...
Lucas J. Andrew+2 more
wiley +1 more source
Key factors influencing educational technology adoption in higher education: A systematic review. [PDF]
Feng J, Yu B, Tan WH, Dai Z, Li Z.
europepmc +1 more source