Objective Multi-Metric Fusion for Critical Node Identification via CRITIC and Global-Local Context Modeling. [PDF]
Cai P, Lu C, Huang Y, Xie Y.
europepmc +1 more source
Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Graph-Theoretical Approach for Predicting Physicochemical Properties of Stiff-Person Syndrome Drugs. [PDF]
Ali J, Ali Y, Malik MA, Shang Y.
europepmc +1 more source
Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen +19 more
wiley +1 more source
Necking of epithelial tissues with cellular topological transition. [PDF]
He Y, Xue SL.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
SMILES-based degree molecular descriptors and machine learning for QSPR modeling of anti-alkaptonuria drugs. [PDF]
Wu G, Rasheed MW, Alsulami S.
europepmc +1 more source
Charge-related topological index – various chemoinformatics applications [PDF]
Kochev N +4 more
europepmc +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Engineering turbulence resilience in Bessel-Vortex beams through partial coherence and topological charge pairing. [PDF]
Dashkasan JJ, Aalipour R, Yeganeh M.
europepmc +1 more source

