Accelerating real-world data collection using large language models in rare neoplasms: a bone sarcoma example. [PDF]
Teterycz P +5 more
europepmc +1 more source
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen +3 more
wiley +1 more source
Using AI in Forward-Backward Translation of Questionnaires for Men Invited to Prostate Cancer Screening: Methodological Study. [PDF]
Andersen SM +6 more
europepmc +1 more source
3D Printed Omniphobic Slippery Liquid Infused Porous Surfaces for Low Surface Tension Repellency
A 3D printing strategy fabricates omniphobic slippery liquid‐infused porous structures with lubricant reservoirs and interconnected microchannels. A post‐printing surface treatment modifies the porous surface to ensure compatibility with the infused fluorinated lubricant.
Noa Trink, Shlomo Magdassi
wiley +1 more source
Better start to bilingual development: Bridging parental beliefs and science through early intervention for Polish families living in Norway. [PDF]
Dynak A +8 more
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 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
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation. [PDF]
Han L +5 more
europepmc +1 more source

