Results 241 to 250 of about 22,195,649 (288)

Multi-phase dataset for bulk Ti and the Ti-6Al-4V alloy. [PDF]

Sci Data
Allen CS, Bartók AP.
europepmc   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA). [PDF]

Sci Rep
Li Z, Yang Z, Teng L, Xie S, Tian M.
europepmc   +1 more source

Exposure measurement error in air-pollution epidemiology and its determinants: results from the MELONS study. [PDF]

Int J Epidemiol
Evangelopoulos D, Wood D, Barratt B, Zhang H, de Nazelle A, Beevers S, Butland BK, Samoli E, Schwartz J, de Hoogh K, Dimakopoulou K, Walton H, Katsouyanni K.   +12 more
europepmc   +1 more source

SINDy-RL for interpretable and efficient model-based reinforcement learning. [PDF]

Nat Commun
Zolman N, Lagemann C, Fasel U, Kutz JN, Brunton SL.   +4 more
europepmc   +1 more source

Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture. [PDF]

PLoS Comput Biol
Comlekoglu T, Toledo-Marín JQ, Comlekoglu T, DeSimone DW, Peirce SM, Fox G, Glazier JA.   +6 more
europepmc   +1 more source

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Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation

arXiv.org, 2023
To maintain user trust, large language models (LLMs) should signal low confidence on examples where they are incorrect, instead of misleading the user.
Vaishnavi Shrivastava, Percy Liang, Ananya Kumar   +2 more
semanticscholar   +1 more source

Surrogate Models-based Multi-Objective Optimization of High-Speed PM Synchronous Machine: Construction and Comparison

IEEE Transactions on Transportation Electrification, 2022
This paper employs surrogate models for large-scale high-speed (HS) electrical machine optimization to reduce heavy computational burden caused by finite element method (FEM) based on non-dominated sorting genetic algorithm II.
Jialei Gu, W. Hua, Wenfei Yu, Zhiheng Zhang, Hengliang Zhang   +4 more
semanticscholar   +1 more source