A New Hybrid Adaptive Self-Loading Filter and GRU-Net for Active Noise Control in a Right-Angle Bending Pipe of an Air Conditioner. [PDF]
Zhu W +5 more
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Harmonic distortion reduction and dynamic stability in PMSG-CHBI wind energy systems via a dual optimization-prediction approach. [PDF]
Varghese LJ +3 more
europepmc +1 more source
Optimization of nonlinear structural vibrations using the incremental harmonic balance method [PDF]
Dou, Suguang, Jensen, Jakob Søndergaard
core
Paving the Way to Elucidate Hg's Role in Tumorigenesis
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li +10 more
wiley +1 more source
Accurate and Affordable Vibrational Spectra of Large Molecules: Primary, Auxiliary, and Spectator Modes in a Perturb-then-Diagonalize Framework. [PDF]
Barone V, Lazzari F, Mendolicchio M.
europepmc +1 more source
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su +13 more
wiley +1 more source
A mechanistic approach for intracranial pressure (ICP) level estimation. [PDF]
Sharifzadeh-Kermani A +6 more
europepmc +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
SAP-X2C: Optimally-Simple Two-Component Relativistic Hamiltonian with Size-Intensive Picture Change. [PDF]
Surjuse KA, Valeev EF.
europepmc +1 more source

