Advanced Science, Volume 13, Issue 1, 5 January 2026.Entropy derived from gray matter eigenmodes captures cortical disorganization in Alzheimer's disease. Using multimodal MRI and amyloid‐PET data, this novel structure–function coupling biomarker enables accurate classification of clinical stages, predicts Aβ burden, and stratifies mild cognitive impairment subtypes.
Yumeng Li +5 more
wiley +1 more source
Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Entropy (Basel)Deng H, Wu T.
europepmc +1 more source
ON THE SPECTRAL CHARACTERISTICS OF SIGNLESS LAPLACIAN MATRIX [PDF]
Pallabi Bora, M. M. Rahman
openalex +1 more source
Stabilizing Anion–Anion Aggregates via Dihydrogen Bonds in Non‐Classical Inorganic Molecules
Aggregate, Volume 7, Issue 1, January 2026.Despite Coulomb's law, the anionic [o‐FESAN]− cluster forms stable anti‐electrostatic aggregates via short dihydrogen bonds. Experimental (nuclear magnetic resonance, dynamic light scattering, and X‐ray diffraction) and theoretical (density functional theory) studies reveal that C–H···H–B interactions overcome long‐range repulsion, enabling cluster ...
Adnana Zaulet +5 more
wiley +1 more source
Early diagnosis of alzheimer's disease using PET imaging and deep learning with comparative data augmentation techniques. [PDF]
Sci RepAthar M +6 more
europepmc +1 more source
Annalen der Physik, Volume 538, Issue 1, January 2026.The BRST invariant Lagrangian of the gravitationally interacting U(1)$U(1)$ gauge theory, namely the Quantum GraviElectro Dynamics (QGED). The Yan–Mills theory with the Hilbert–Einstein gravitational Lagrangian, namely the Yang–Mills–Utiyama (YMU) theory, is defined and quantised using the standard procedure. The theory is perturbatively renormalisable,
Yoshimasa Kurihara
wiley +1 more source
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization [PDF]
Cinzia Di Nuzzo, Matteo Farnè
openalex +1 more source
Influence of Blood Rheology on Hemodialysis Efficiency via Computational Simulation
Chemical Engineering &Technology, Volume 49, Issue 1, January 2026.This study presents a CFD framework for hemodialysis that explicitly incorporates cholesterol‐dependent non‐Newtonian blood rheology. By coupling mass transport with the mHAWB model, the work quantifies how rheology alters creatinine removal and optimal operating conditions. ABSTRACT This work presents a computational study of hemodialysis in cocurrent
L. A. Ramírez‐Torres +5 more
wiley +1 more source
From biogenesis to deep modeling: a holistic review of miRNA-disease prediction computational methods with experimental comparison. [PDF]
Brief BioinformXie S, Law KLE.
europepmc +1 more source
Machine Learning Unlocks New Directions in Halide Perovskite Research
ChemElectroChem, Volume 13, Issue 1, January 2026.GA: This frontispiece visualizes the role of machine learning (ML) in advancing halide perovskite research. It highlights how ML enables the prediction of material properties, guides compositional design, and supports the development of stable, high‐performance perovskite devices for optoelectronic applications, providing new strategies to overcome ...
Hyejin Choe +3 more
wiley +1 more source