Results 121 to 130 of about 41,159 (267)

The Influence of Mesoscale Particle Structure on the Electrode Degradation and Resultant Electrochemistry of Lithium Ion Cells With Nickel Rich Lithium Nickel Manganese Cobalt Oxide Positive Electrodes

Advanced Materials Technologies, EarlyView.
Milled polycrystalline NMC811 cathode (MPC NMC) with smaller secondary particle and higher surface area had 1) greater cathode tortuosity, 2) reduced surface Ni on the cycled MPC cathodes consistent with surface reconstruction, and 3) increased Ni deposition from cathode‐anode crosstalk, manifesting in lower functional capacity and higher impedance ...
Edelmy J. Marin Bernardez, Andrew Nicoll, David J. Arnot, Armando Rodriguez Campos, Patrick J. Barry, Marie F. Millares, Cynthia Huang, Melissa A. Guercio, Grace K. Dono, Alexis Pace, Xianghui Xiao, Cherno Jaye, Conan Weiland, Jianming Bai, Hui Zhong, Michael Drakopoulos, Zhong Zhong, Nghia T. Vo, Xiao Tong, Esther S. Takeuchi, Amy C. Marschilok, Shan Yan, Kenneth J. Takeuchi   +22 more
wiley   +1 more source

Dataset on teacher well-being and student-teacher relationships in Indonesian schools. [PDF]

Data Brief
Saleh AY, Kurniawati F, Salim RMA.
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

Irreversible Effects of Affiliation With Delinquent Peers on Cyberbullying Perpetration Among Adolescents in Hong Kong: Moderating Effect of Student-Teacher Relationships. [PDF]

Behav Sci Law
Han Y, Chen JK.
europepmc   +1 more source

Student-teacher relationships of children with autism spectrum disorder: Distinct contributions of language domains. [PDF]

Res Dev Disabil, 2019
Feldman M, Maye M, Levinson S, Carter A, Blacher J, Eisenhower A.   +5 more
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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Gender dynamics in the relationship among student-teacher relationships, academic task engagement, academic task value, and positive developmental outcomes. [PDF]

PLoS One
Abren GT, Negasi RD, Abebe AS.
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

Child temperament and trajectories of student-teacher relationships quality. [PDF]

Child Dev
Harvey E, Déry M, Lemelin JP, Bégin V.
europepmc   +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