Results 121 to 130 of about 152,094 (262)

How the teacher development ecosystem influences career success: the chain mediation role of school climate and job crafting. [PDF]

Front Psychol
Xu Y, Chang B, Guo Q.
europepmc   +1 more source

A Human Bone Defect‐on‐a‐Chip Model for Studying Bone Regeneration

Advanced Materials Technologies, EarlyView.
This study presents a novel human bone defect‐on‐a‐chip (BDOC) model, aiming to recapitulate key processes during early bone healing, incorporating bone graft substitutes. Over 21 days, human mesenchymal stem/stromal cells (HMSCs) and human primary macrophages are co‐cultured in the BDOC together with calcium phosphate microparticles.
Maria Gabriella Fois, Zeinab N. Tahmasebi Birgani, Francesca Giacomini, Alexander P. M. Guttenplan, David Baião Barata, Hoon Suk Rho, Noel Davison, Clemens van Blitterswijk, Martijn van Griensven, Stefan Giselbrecht, Pamela Habibović, Roman K. Truckenmüller   +11 more
wiley   +1 more source

Professional development for Indonesian elementary school teachers: Increased competency and sustainable teacher development programs. [PDF]

F1000Res
Rasmitadila, Rachmadtullah R, Prasetyo T, Humaira MA, Sari DA, Samsudin A, Nurtanto M, Fitriyani, ZamZam R.   +8 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
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, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

An ODeL-based teacher professional development framework for teacher-facilitated human-AI collaboration in primary mathematics problem-solving: a conceptual analysis. [PDF]

Front Artif Intell
Dibane Z.
europepmc   +1 more source