Association between wrist-worn actigraphy and the MDS-UPDRS Parkinson's disease rating scale through machine learning: an exploratory study. [PDF]
Ymeri G +6 more
europepmc +1 more source
Fiber‐Format Flexible Linear Electrostatic Motors
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley +1 more source
Deep Semantics Analysis for Scale Development: Replicating Psychometrics Validation Process with Large Language Models. [PDF]
Milano N +4 more
europepmc +1 more source
Biohybrid Crawling Robot With Spiral‐Spring Backbone and Inclined Legs for Enhanced Locomotion
We present a biohybrid crawling robot integrating a muscle ring with a flexible skeleton combining two complementary structural elements. The spiral‐spring backbone enables large‐amplitude bending without compromising axial stability, while outward‐inclined legs with unequal front–rear lengths effectively convert deformation into directional strides ...
Tomohiro Morita +2 more
wiley +1 more source
Interface‐Mediated Catalysis for Improved Hydrogen Storage in Reactive Hydride Composites
Catalyst–hydride interfaces are engineered in Co@C‐ and Ni@C‐modified 2LiH + MgB2 reactive hydride composites to accelerate hydrogen uptake and release. Multiscale scattering, in‐situ synchrotron radiation powder x‐ray diffraction and density functional theory calculations reveal the structural and electronic origin of the catalytic enhancement ...
Yuanyuan Shang +12 more
wiley +1 more source
scGSI: Graph-guided self-supervised integration of paired single-cell multi-omics. [PDF]
Chen X, Yang Z, Liu X, Xie Z, Guo W.
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
MoCoProto: Enhancing few-shot pest image classification with self-supervised representation learning. [PDF]
Jin D, Yin H, Piao X, Gu YH.
europepmc +1 more source
Synthesis of Bulk Superconducting LiNbO2 Crystals Through CaH2 Reduction
CaH2 reduction reconstructively transforms insulating LiNbO3 single crystals into superconducting bulk LiNbO2 with a critical temperature of Tc = 14.4 K. Scanning electron microscopy reveals large‐volume, high‐yield phase conversion. Magnetization measurements demonstrate a robust ∼ 77% Meissner shielding fraction, establishing bulk superconductivity ...
Ryan Paxson +19 more
wiley +1 more source
Advancing practical quantum embedding simulations <i>via</i> operator commutativity-based state preparation for complex chemical systems. [PDF]
Mondal D, Patra AK, Maitra R.
europepmc +1 more source

