Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian +12 more
wiley +1 more source
Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain-Computer Interfaces: A PRISMA-Based Systematic Review. [PDF]
Peksa J.
europepmc +1 more source
Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao +6 more
wiley +1 more source
NeuroStream: spectral-spatio-temporal deep learning for visual stimulus classification from EEG. [PDF]
Abdelmagid M +3 more
europepmc +1 more source
Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu +9 more
wiley +1 more source
A cross-attentive multi-task graph learning framework for chemical reaction modeling. [PDF]
Astero M, Li A, Casiraghi E, Rousu J.
europepmc +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Cross-Species Behavioral Analysis via Multidimensional Knowledge Transfer. [PDF]
Liu Y +5 more
europepmc +1 more source
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang +16 more
wiley +1 more source
From Global to Local: Semantic-Aware Instance-Wise Feature Selection. [PDF]
Wang Z, Zhang Y, Xu H, Yang Z, Wang J.
europepmc +1 more source

