Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
A Practical Study of Data Requirements for Self-Supervised Learning in Medical Image Analysis. [PDF]
Hommyo M +4 more
europepmc +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
Source-Free Domain-Adaptive Semi-Supervised Learning for Object Detection in CCTV Images. [PDF]
Shin H, Kim GY.
europepmc +1 more source
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
Semantic-aware self-supervised learning using progressive sub-action regression for action quality assessment. [PDF]
Mazruei M +3 more
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Semi-Supervised Learning to Improve Generalizability of Cancer Associated-Venous Thromboembolism Risk Prediction Models. [PDF]
Jin S +11 more
europepmc +1 more source
DRD2 Deficiency Underlies Pituitary Adenoma Dependent on Escherichia coli Translocation from the Gut
Dopamine receptor D2 (DRD2) deficiency disrupts epithelial barrier integrity in both the gut and pituitary gland, facilitating translocation of gut‐derived Escherichia coli into pituitary tissue. Intratumoral E. coli are phagocytosed by microglia, triggering GSDMD‐dependent pyroptosis and HMGB1 release, which subsequently activates MAPK signaling to ...
Xian‐jun Su +16 more
wiley +1 more source
NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores. [PDF]
Xie Y +9 more
europepmc +1 more source

