Characteristics of the home environment in children with developmental delays: insights from a cross-sectional study in Türkiye. [PDF]
Ömercioğlu E +3 more
europepmc +1 more source
Single‐Photon Emitters in Thickness‐Controlled hBN Directly Grown on Silicon Platform
Direct, catalyst‐free CVD growth produces thickness‐controlled hBN films on SiO2/Si without transfer. Growth temperature, film thickness, and carbon incorporation tune the density and single‐photon fraction of defect emitters while preserving the hBN lattice structure.
Yeunjeong Lee +6 more
wiley +1 more source
Assessing the Needs of Elderly People in a Home Environment: Perspectives from Patients, Caregivers, and a Family Nurse. [PDF]
Szewczyczak M +6 more
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Flourishing as a highly sensitive person: a mixed method study on the role of nature connectedness and chaotic home environment. [PDF]
Carroll S +4 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
Study of intelligent home environment system based on big data and improved k-means algorithm. [PDF]
Yu S, Liu C, Li M.
europepmc +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
Family and Home Environment Predictors of Children's 24-Hour Movement Guideline Adherence: A Mixed-Methods Study. [PDF]
Dugger R +12 more
europepmc +1 more source

