Advanced Materials Interfaces, EarlyView.BioEISense is a microfluidic device with integrated impedance sensors, for real‐time, label‐free monitoring of S. aureus biofilms. In this study, the biofilm culture conditions were optimized to support sensitive and reproducible detection of biofilm formation and eradication under dynamic flow‐through conditions. The system was also validated for both
Jéssica Amorim +6 more
wiley +1 more source
Bamboo Medical Application: A State‐of‐the‐Art Review
Advanced Materials Technologies, EarlyView.This review presents a structured classification of bamboo's current use in healthcare. It organizes applications into medical textiles and medical devices, with further divisions based on function and level of invasiveness. It also examines material utilization based on bamboo's structural role, highlighting how it supports both protective and ...
Haymanot Beza Lamesgin +3 more
wiley +1 more source
A critical evaluation of generative query expansion on biomedical literature retrieval. [PDF]
J Am Med Inform AssocFang Y, Zhang G, Chen F, Peng Y, Weng C.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.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
Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study. [PDF]
JMIR Med InformMikkelsen Y.
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.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
Accurate SPARQL generation via in-context learning and schema-based query construction. [PDF]
BioinformaticsNagazumi H +4 more
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.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
Rethinking peptide developability with sequence-only models: interpretable screening of microplastic-binding peptides with gated query pooling. [PDF]
Chem SciChen G, You F.
europepmc +1 more source