Results 71 to 80 of about 183,854 (249)
Child-Centered Learning In The Home Environment: Implementation And Challenges
This study examined the implementation of child-centered learning principles by the parents of TK Al Muthmainnah students, their knowledge of these principles, and the challenges they faced.
Nani Gondiawati, Sri Nurhayati
doaj +1 more source
An O radical‐induced n‐to‐p transition in PbS quantum dots (QDs) is achieved via atmospheric Ar/O2 treatment, enabling favorable band alignment and stable photogating in PbS QD/IGZO phototransistors. Interfacial defect passivation and Fermi‐level modulation, confirmed by XPS and UPS analyses, effectively suppress dark current, induce a positive VTH ...
MD Redowan Mahmud Arnob +4 more
wiley +1 more source
Developments in the Smart Home sector are increasingly supporting users in their everyday lives and at home. The devices are intelligent, networked and integrated into the environment.
Alexander Kiy, Dustin Wegner
doaj
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
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
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
Despite the growing emphasis on early mathematical learning, comparatively limited attention has been given to how play-based experiences in everyday family contexts contribute to children’s emerging mathematical understanding.
Areti Panaoura
doaj +1 more source
Prior home learning environment is associated with adaptation to homeschooling during COVID lockdown. [PDF]
Girard C, Prado J.
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source

