Results 151 to 160 of about 374,085 (292)
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey +6 more
wiley +1 more source
On Representations and Quantifications of Uncertainty. [PDF]
Iskandar R, Trikalinos TA.
europepmc +1 more source
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani +9 more
wiley +1 more source
MLISB-RTK: Machine Learning Based on Inter-System Biases to Improve the Performance of RTK in Complex Environments. [PDF]
Zhang R, Zhao W, Shao X, Li M.
europepmc +1 more source
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Synergistic augmentation of BDS PPP-B2b: integrating LEO constellations and wide-lane ambiguity resolution for instantaneous convergence. [PDF]
Zhao Q +6 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Real-time resolution of VP ellipsis ambiguity and processing depth. [PDF]
Fujita H, Yoshida M.
europepmc +1 more source

