Single‐cell and spatial profiling reveal that lymphovascular space invasion in endometrioid endometrial carcinoma is driven by coordinated interactions among metastatic epithelium, fibroblasts, immune cells, and endothelium. This multicellular network promotes matrix remodelling, angiogenesis, and immune evasion, forming a pro‐metastatic niche that ...
Wendi Guo +7 more
wiley +1 more source
Lumina-4DGS: Illumination-Robust Four-Dimensional Gaussian Splatting for Dynamic Scene Reconstruction. [PDF]
Wang X, Wang Q, Sun Y, Liu S.
europepmc +1 more source
Digital range of motion analysis is sensitive to subjective steps in joint model construction
A systematic sensitivity analysis of a six degree‐of‐freedom range of motion (ROM) analysis workflow was conducted to evaluate how variation in the subjective steps of the reference pose assembly affects the determined viable poses in the ankle and tarsometatarsophalangeal III joints of Guinea fowl (Numida meleagris).
R. J. Lowes +4 more
wiley +1 more source
Hierarchical 3D Scene Graphs Construction Outdoors
Jon Nyffeler +2 more
openaire +3 more sources
Modular Framework for Responsive and Explainable Robotic Assistance with Intention Prediction Using Human-Centric Digital Twins. [PDF]
Asad U +4 more
europepmc +1 more source
Perceptual Priors Update Contextual Feedback Processing in V1
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova +3 more
wiley +1 more source
Debris flow disaster information representation and perception based on knowledge graphs and virtual geographic environments. [PDF]
Zhang Z, Fu H, Zhang J, Zhang Y, Gu Z.
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Investigating the temporal dynamics and modeling of mid-level feature representations in humans. [PDF]
Karapetian A +7 more
europepmc +1 more source
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan +1 more
wiley +1 more source

