Atypical cortical neural activity in internet gaming disorder comorbid with autism spectrum disorder during a cue reactivity task: A magnetoencephalography study. [PDF]
Parawansa FBP +11 more
europepmc +1 more source
Alcohol cue reactivity in the brain: Age-related differences in the role of social processes in addiction in male drinkers. [PDF]
Kuhns L +5 more
europepmc +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Sex and Hormonal Effects on Drug Cue Reactivity and Its Regulation in Human Addiction. [PDF]
Huang Y +11 more
europepmc +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
Genetic Loci Influencing Cue-Reactivity in Heterogeneous Stock Rats. [PDF]
King CP +23 more
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Electronic cigarette cue reactivity in exclusive electronic cigarette users. [PDF]
Douglas AE +5 more
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Maternal Pressure and Frequent Use of Bottle During Feeding Moderate Infant Food Cue Reactivity over Time. [PDF]
Shriver LH +4 more
europepmc +1 more source

