Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Hierarchical Clustering for Anomalous Traffic Conditions Detection in Power Substations
The IEC 61850 standard has contributed significantly to the substation management and automation process by incorporating the advantages of communications networks into the operation of power substations.
Erwin Alexander Leal Piedrahita
doaj
burkh4rt/Unsupervised-Multimodal-Trajectory-Modeling: release 2024.1.1
<p>https://pypi.org/project/unsupervised-multimodal-trajectory-modeling/2024.1.1/</p> <p><strong>Full Changelog</strong>: https://github.com/burkh4rt/Unsupervised-Multimodal-Trajectory-Modeling/compare/2023.1.1...2024.1.1<
Michael Burkhart
core +1 more source
SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning
Unsupervised graph embedding method generates node embeddings to preserve structural and content features in a graph without human labeling burden. However, most unsupervised graph representation learning methods suffer issues like poor scalability or ...
Wang, Jialin +5 more
core +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Deep Temporal Joint Clustering for Satellite Image Time-Series Analysis
With the advancement of remote sensing satellite technology, the acquisition of Satellite Image Time-Series (SITS) data has significantly increased, providing new opportunities and challenges for land cover analysis.
Wenqi Guo +5 more
doaj +1 more source
A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese [PDF]
In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against dierent systems found in the literature that have been used to perform the task of automatic text ...
Jan Strunk +5 more
core +1 more source
CD9+ B Cells Induce T Follicular Helper Cell Apoptosis to Regulate Germinal Center Regression
A unique subset of CD9+ B cells regulates germinal center B (GC‐B) cell regression by inducing T follicular helper (Tfh) cell apoptosis through multiple signaling pathways, such as ALCAM‐CD6. FOXP1 plays a key role in GC‐B cell differentiation. These findings clarify mechanisms of GC degeneration and termination and offer potential targets for adenoid ...
Wenjing Liao +27 more
wiley +1 more source
Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang +9 more
wiley +1 more source

