Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]
Fatima A, Asjad MI, Aslam MN, Riaz MB.
europepmc +1 more source
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng +19 more
wiley +1 more source
QoS-Driven Resource Allocation and Performance Optimization for Aggregated VLC-RF Vehicular Networks. [PDF]
Qin H, Ke X.
europepmc +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks. [PDF]
Nauman A, Kim SW.
europepmc +1 more source
Artificial Intelligence‐Driven Inverse Design of Singlet Fission Candidates in the Acene family
In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Rafael G. Uceda +9 more
wiley +1 more source
Energy Efficiency Maximization for ME-IRS-Enabled Secure Communications. [PDF]
Liu C, Dong L, Li Y, Cheng W.
europepmc +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Fractional-order analysis and optimal control of the NERA model: stability, sensitivity, and numerical validation. [PDF]
Pandey A, Ghosh S.
europepmc +1 more source
Bending‐Stable Pressure Sensor Based on Natural Wood Nanofibers for Ultra‐Low Detection Limit
A wood nanofiber‐based flexible pressure sensor with intrinsic bending‐stable performance is developed through a porous electrospun architecture and interdigital electrode design. The device exhibits an ultra‐low detection limit and stable operation under deformation for physiological monitoring and spatial sensing, providing a sustainable strategy for
Xu Zeng +7 more
wiley +1 more source

