Results 151 to 160 of about 6,187,809 (272)
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
WORD-FORMATION, WORD STRUCTURE
This article explores the concepts of word-formation and word structure in the English language. It analyzes the main types of word-formation processes such as derivation, compounding, conversion, and blending.
Gaziyeva, Saida, Tillaboyeva, Nafosat
core +1 more source
Developing an AI platform for voice-input medical records in Polish: a digital application for optimisation of physicians' workload. [PDF]
Szplit D +16 more
europepmc +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Midwifery Students' Definitions of Normal Labor and Birth: A Study From Five Countries. [PDF]
International Network Exploring Midwifery Students' Confidence in Physiological Birth +12 more
europepmc +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Computational analysis and automated classification of eating disorder discourse on Twitter's EDTWT community. [PDF]
Li J, Zhang C, Khan AN, Raynor H, Li X.
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
The quality and scope of health information on online drug platforms: a topic modelling and expert evaluation study of a Polish-language forum. [PDF]
Siuda P, Matuszewski P.
europepmc +1 more source
Efficient and Robust Standing Postures of Quadruped Robots
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source

