Results 111 to 120 of about 2,032 (302)

Distributionally robust optimization of load balancing in new distribution network considering loop closing current constraints

Diance yu yibiao
In view of the influence of the uncertainty of distributed PV(photovoltaic) output on the loop closing operation of new distribution network, a distributionally robust optimization model of load balancing in new distribution network considering loop ...
CUI Jiao, SU Ji, ZHANG Juncheng, ZHAO Zhongyuan, ZHAN Fengnan, LIU Haixin   +5 more
doaj   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Distributionally robust stochastic optimal control

Operations Research Letters
The main goal of this paper is to discuss the construction of distributionally robust counterparts of stochastic optimal control problems. Randomized and non-randomized policies are considered. In particular, necessary and sufficient conditions for the existence of non-randomized policies are given.
Alexander Shapiro 0001, Yan Li
openaire   +3 more sources

Calibration of Distributionally Robust Empirical Optimization Problems

, 2018
We study the out-of-sample properties of robust empirical optimization and develop a theory for data-driven calibration of the ``robustness parameter"" for worst-case maximization problems with concave reward functions.
Lim, Andrew
core  

Sensitivity analysis of Wasserstein distributionally robust optimization problems. [PDF]

Proc Math Phys Eng Sci, 2021
Bartl D, Drapeau S, Obłój J, Wiesel J.
europepmc   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

FEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji, Yurika Nakanishi, Nobuhiro Nakamura   +2 more
wiley   +1 more source

Distributionally Robust Optimization for Learning Causal-Effect-Maximizing Policies

, 2019
Policy learning from observational data seeks to extract personalized interventions from passive interaction data to maximize causal effects. The aim is to transform electronic health records to personalized treatment regimes, transactional records to ...
Kallus, Nathan
core  

Theory and applications of Distributionally Robust Optimization with side data [PDF]

, 2022
We propose a formulation of a distributionally robust approach to model certain structural information about the probability distribution of the uncertainty. This is given in terms of a partition-based approach, exploiting the optimal transport problem
Esteban-Pérez, Adrián
core  

Distributionally Robust Optimization Adaptive Event‐Triggered SMPC for DC‐DC Converters Subject to Unknown Disturbances and DoS Attacks

IET Power Electronics
In this paper, we present adaptive event‐triggered distributionally robust optimization stochastic model predictive control (AET‐DROSMPC) applied to DC‐DC converters subject to unknown disturbances and denial of service (DoS) attacks.
Yadong Chen, Peng Cheng
doaj   +1 more source

An Approximate Algorithm for Sparse Distributionally Robust Optimization

Information
In this paper, we propose a sparse distributionally robust optimization (DRO) model incorporating the Conditional Value-at-Risk (CVaR) measure to control tail risks in uncertain environments.
Ruyu Wang, Yaozhong Hu, Cong Liu, Quanwei Gao   +3 more
doaj   +1 more source