RGCNMDA: pathway-bridged relational graph learning with adaptive multi-view fusion for human miRNA-disease association prediction. [PDF]
Hou C, Kone M, Xiang Y, Wang S.
europepmc +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Deep chemical structure graph learning deciphers the lipotoxicity code of hypertriglyceridemic pancreatitis. [PDF]
Huang A +12 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
ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning. [PDF]
Long Y, Zhang W, Cao L, Huang X, Wang Y.
europepmc +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
ColdstartMHDTI: integrating biomolecular pretraining and attention-based heterogeneous graph learning for drug-target interaction prediction. [PDF]
Yang H, Ye X, Han H, Sakurai T.
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Correction to: Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance. [PDF]
europepmc +1 more source
Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. [PDF]
Zhao T, Yang W, Yao Y.
europepmc +1 more source

