The study presents a method for detecting touch location and force magnitude on soft capacitive sensors without complex electrode patterning. Multifrequency impedance measurements are combined with machine learning to accurately classify five sensing zones and estimate applied force with low error.
Samuel Belk+3 more
wiley +1 more source
Enteric-Coated Aspirin Induces Small Intestinal Injury via the Nrf2/Gpx4 Pathway: A Promising Model for Chronic Enteropathy. [PDF]
Zhang M+11 more
europepmc +1 more source
Design and Analysis for a Diving‐Beetle‐Inspired Swimming Robot with Multi‐Flexible Appendages
This article presents a bionic underwater robot inspired by the swimming behavior of diving beetles. The robot features flexible appendages and a specialized motion controller to mimic the beetle's swimming gaits. Extensive experiments show improved thrust, speed, and maneuverability.
Xinyi Gao+6 more
wiley +1 more source
Antithrombotic Therapy Strategies and Clinical Outcomes in Chinese Patients Aged 65 and Older with High Ischemic Risk Coronary Artery Disease. [PDF]
Chen X+6 more
europepmc +1 more source
Gastric Mucosal Lesions Produced by Intravenous Infusion of Aspirin in Cats
R. Bugat+3 more
openalex +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
New options for cilostazol-based dual antiplatelet therapy for ischaemic stroke prevention in East Asian populations: a systematic review and meta-analysis. [PDF]
Wang X+11 more
europepmc +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar+2 more
wiley +1 more source