Results 101 to 110 of about 22,296,575 (338)

Active learning based surrogate ensemble assisted multi-objective optimization framework for reservoir water-flooding optimization

Journal of Petroleum Exploration and Production Technology
Surrogate-assisted management of water-flooding, as a reservoir production optimization strategy, dynamically adjusts development schemes at each production step, leading to improved economic benefits and enhanced recovery.
Lian Wang, Liang Zhang, Rui Deng, Jianhua Qu, Hehua Wang, Liehui Zhang, Xing Zhao, Bing Xu, Xindong Lv, Caspar Daniel Adenutsi   +9 more
doaj   +1 more source

Deep learning surrogate model for kinetic Landau-fluid closure with collision

, 2020
In this work, the kinetic Landau-fluid (LF) closure with collision and periodic boundary condition is used in the development of the deep learning (DL) surrogate model.
Libo Wang, X. Xu, B. Zhu, Chenhao Ma, Y. Lei   +4 more
semanticscholar   +1 more source

The role of histone modifications in transcription regulation upon DNA damage

FEBS Letters, EarlyView.
This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley   +1 more source

Simulation of the Oxidation and Combustion of Mixed Diesel-Biodiesel Fuel

MATEC Web of Conferences, 2018
A comparative simulation-based research has been set up to obtain valid kinetic models of the oxidation and combustion of biodiesel surrogate and diesel surrogate, as well as mixed diesel-biodiesel surrogates which is used to predict their ignition delay
Muharam Yuswan, Leonardi Danny, Ramadhania Alisya P   +2 more
doaj   +1 more source

Rapidly Tuning the PID Controller Based on the Regional Surrogate Model Technique in the UAV Formation

Entropy, 2020
The leader–follower structure is widely used in unmanned aerial vehicle formation. This paper adopts the proportional-integral-derivative (PID) and the linear quadratic regulator controllers to construct the leader–follower formation.
Binglin Wang, Xiaojun Duan, Liang Yan, Juan Deng, Jiangtao Chen   +4 more
doaj   +1 more source

Surrogate Residuals for Discrete Choice Models

Journal of Computational and Graphical Statistics, 2020
Discrete choice models (DCMs) are a class of models for modeling response variables that take values from a set of alternatives. Examples include logistic regression, probit regression, and multinomial logistic regression. These models are also referred together as generalized linear models. Although there exist methods for the goodness of fit of DCMs,
Chao, Cheng, Rui, Wang, Heping, Zhang
openaire   +3 more sources

Function‐driven design of a surrogate interleukin‐2 receptor ligand

FEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang, Zelin Cheng, Teng Li, Fulian Wang, Liangminghui Zhang, Xiuxiu He, Lili Liu, Wei Wang, Aibin Liang, Guang Yang   +9 more
wiley   +1 more source

KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization [PDF]

, 2013
This paper investigates the control of an ML component within the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) devoted to black-box optimization.
Loshchilov, Ilya, Schoenauer, Marc, Sebag, Michèle   +2 more
core   +3 more sources

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

FEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf, Nicholas F. Downing, Kaitlyn M. Mills, Samuel C. Metcalfe, Alexander E. Kritzer, Lindsey D. Mayo, Peter C. Hollenhorst   +6 more
wiley   +1 more source

An Adaptive Surrogate-Assisted Particle Swarm Optimization Algorithm Combining Effectively Global and Local Surrogate Models and Its Application

Applied Sciences
Numerous surrogate-assisted evolutionary algorithms have been proposed for expensive optimization problems. However, each surrogate model has its own characteristics and different applicable situations, which caused a serious challenge for model ...
Shaochun Qu, Fuguang Liu, Zijian Cao
doaj   +1 more source