Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications
This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei +5 more
wiley +1 more source
ExpressEdit: Video Editing with Natural Language and Sketching [PDF]
Bekzat Tilekbay +4 more
openalex +1 more source
Leveraging Natural Language for Program Search and Abstraction Learning Graphics
Anonymous
openalex +1 more source
This review highlights recent advances in accelerating luminescence in nanostructures through cooperative emission, resonator coupling, and nonlocal light–matter interactions. By unifying concepts such as excitonic superradiance, superfluorescence, and the plasmonic Purcell effect, it reveals physical limits of ultrafast emission and their potential ...
Masaaki Ashida +3 more
wiley +1 more source
NLP-ROPCare: predicting retinopathy of prematurity with admission notes using natural language processing. [PDF]
Zhang Y +11 more
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Linking subjective experience of anxiety to brain function using natural language processing. [PDF]
Kirk PA +6 more
europepmc +1 more source
Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing [PDF]
Jiayi Li +11 more
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source

