Results 91 to 100 of about 6,180 (210)

A risk-resistant microgrid formation method considering subsequent line faults and outage propagation

International Journal of Electrical Power & Energy Systems
Microgrid formation provides a viable solution for enhancing the resilience of distribution systems under extreme conditions. In general, the on-outage areas of the distribution system are partitioned into multiple islands to restore the critical loads ...
Weixu Tian, Sheng Cai, Yunyun Xie, Chen Yu, Hao Wu, Qiuwei Wu   +5 more
doaj   +1 more source

A distributionally robust optimization approach for two-stage facility location problems

EURO Journal on Computational Optimization, 2020
In this paper, we consider a facility location problem where customer demand constitutes considerable uncertainty, and where complete information on the distribution of the uncertainty is unavailable.
Arash Gourtani, Tri-Dung Nguyen, Huifu Xu   +2 more
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Distributionally Robust Variational Quantum Algorithms With Shifted Noise

IEEE Transactions on Quantum Engineering
Given their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been developed for VQA parameter optimization, it remains a significant challenge.
Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang   +3 more
doaj   +1 more source

Learning Optimal Distributionally Robust Individualized Treatment Rules

Journal of the American Statistical Association, 2020
Recent development in the data-driven decision science has seen great advances in individualized decision making. Given data with individual covariates, treatment assignments and outcomes, policy makers best individualized treatment rule (ITR) that maximizes the expected outcome, known as the value function.
Weibin Mo, Zhengling Qi, Yufeng Liu
openaire   +4 more sources

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Day/night variations of myeloid and lymphoid cell subsets in the murine inguinal lymph node

FEBS Open Bio, EarlyView.
The circadian system is involved in the temporal regulation of the immune system. Our study reveals that two innate immune populations, NKT cells and neutrophils, predominate at the beginning of the day in healthy mice, highlighting how the time of day influences immune responses.
Paula M. Wagner, César G. Prucca, Lucia Boffelli, Virginia A. Piqueras, Silvia G. Correa, Mariana Maccioni, Mario E. Guido   +6 more
wiley   +1 more source

Distributionally robust Lyapunov–Barrier Networks for safe and stable control under uncertainty

Results in Control and Optimization
This paper addresses the challenge of simultaneously achieving stability and safety in nonlinear control systems subject to uncertain parameters. We propose distributionally robust Lyapunov–Barrier networks (DR-LBNs), a novel framework that unifies ...
Ali Baheri
doaj   +1 more source

Approximation Algorithms for Distributionally Robust Stochastic Optimization with Black-Box Distributions

, 2019
Two-stage stochastic optimization is a framework for modeling uncertainty, where we have a probability distribution over possible realizations of the data, called scenarios, and decisions are taken in two stages: we make first-stage decisions knowing ...
Linhares, Andre, Swamy, Chaitanya
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