Spectral Properties of Stochastic Processes Possessing Finite Propagation Velocity. [PDF]
Giona M, Cairoli A, Cocco D, Klages R.
europepmc +1 more source
FiN‐Kiri: Fabric‐Based Inflatable Kirigami Actuator for Multimodal Soft Robots
This study introduces a type of inflatable fabric‐based kirigami actuator capable of performing bending motion. The actuator is utilized as soft grippers, a crawling robot and a swimming robot. The crawling robot demonstrated extraordinary motion capabilities, such as moving forward, turning and navigating a narrow tunnel.
Yang Yu +12 more
wiley +1 more source
Generic health-related quality of life instruments among children and adolescents in low- and middle-income countries: a scoping review. [PDF]
Takele GM +6 more
europepmc +1 more source
Optimization of Magnetic Milli‐Spinner for Robotic Endovascular Intervention
This work presents the design optimization of a multifunctional magnetic milli‐spinner for high‐speed propulsion and efficient clot debulking. The optimized design achieves an ultrafast swimming velocity of 55 cm/s (≈175 body lengths/s) in saline water, enabling stable upstream swimming against strong physiological flows and establishing magnetic milli‐
Lu Lu +3 more
wiley +1 more source
Variable Splitting and Fusing for Image Phase Retrieval. [PDF]
Nyfantis P +4 more
europepmc +1 more source
Norm attaining operators on some classical Banach spaces [PDF]
openaire +3 more sources
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
T-spherical fuzzy interactive Dubois-Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation. [PDF]
Jameel T, Riaz M, Yaqoob N, Aslam M.
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Automated Multimodal Image Registration for Prostate Cancer Using Squeeze-and-Excitation ResNet with Thin Plate Spline Transformation: A Deep Learning Approach. [PDF]
Cai H, Li Y, Zhao Q, Lu Y.
europepmc +1 more source

