Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang +4 more
wiley +1 more source
Cell-type and spatiotemporal transcriptional signatures of white matter morphometric similarity network alterations in major depressive disorder. [PDF]
Wu Y +13 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
DRfold2 is a deep learning-based tool that enables efficient and accurate RNA structure prediction. [PDF]
Li Y +5 more
europepmc +1 more source
All‐Flex Plasma Patch for In Vivo Delivery of Reactive Species
A fully flexible plasma patch enables stable, conformal treatment on complex biological surfaces and enhances transdermal delivery of reactive species. This platform achieves significant tumor suppression in vivo and reveals coordinated regulation of calcium signaling, metabolism, and programmed cell death, providing a promising strategy for safe and ...
Luxiang Zhao +8 more
wiley +1 more source
Research on group type theory and its functorial semantic models in category logic. [PDF]
Tang JG, Aishan Y, Liu JY, Peng JY.
europepmc +1 more source
Extensionable topological hulls and topological universe hulls inside the category of pseudotopological spaces [PDF]
Schwarz, Friedhelm
core
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Emotional Distress Symptom Networks in Patients with Gynecological Malignancies: A Cross-Sectional Study. [PDF]
Huang H +5 more
europepmc +1 more source

