Oxygen-responsive KoBdcA/KoBdcB/KoBpdA system regulates c-di-GMP levels to control bacterial cellulose biosynthesis and motility in <i>Kosakonia oryzendophytica</i> FY-07. [PDF]
Zhao X +8 more
europepmc +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]
Zimmermann P.
europepmc +1 more source
Abstract figure legend Ephaptic phenomena in a high‐resolution model of the cardiac intercalated disc. Meshed representation of a tortuous intercalated disc that was generated based on electron and super‐resolution microscopy data. Na+ channels (red) and gap junctions (green) are heterogeneously distributed, with additional regions of reduced ion ...
Ena Ivanovic +4 more
wiley +1 more source
Partial restoration of mitochondrial dysfunction by AAV-Ant1 protects from dilated cardiomyopathy in Ant1<sup>-/-</sup> plus mtDNA mutant mice. [PDF]
Angelin A +14 more
europepmc +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Immunotherapy drug target identification using machine learning and patient-derived tumour explant validation. [PDF]
Augustine M +19 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
A new hybrid block collocation method for solving elliptic PDEs. [PDF]
Rufai MA +3 more
europepmc +1 more source

