Results 101 to 110 of about 6,180 (210)

Distributionally Robust Performative Optimization

In performative stochastic optimization, decisions can influence the distribution of random parameters, rendering the data-generating process itself decision-dependent. In practice, decision-makers rarely have access to the true distribution map and must instead rely on imperfect surrogate models, which can lead to severely suboptimal solutions under ...
Jia, Zhuangzhuang, Wang, Yijie, Dong, Roy, Hanasusanto, Grani A.   +3 more
openaire   +2 more sources

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Pioglitazone plus (−)‐epigallocatechin gallate: a novel approach to enhance osteogenic performance in aged bone marrow mesenchymal stem cells

FEBS Open Bio, EarlyView.
Aged human bmMSCs are seeded in the scaffold. Osteoblastic induction can slightly increase cell's bone‐forming activity to produce bone‐like tissues, shown as the sporadic xylenol orange‐stained spots (the lower left image). Notably, pioglitazone plus EGCG co‐treatment dramatically increases cell's bone‐forming activity and bone‐like tissue production (
Ching‐Yun Chen, Jia‐Ci Jhang, Chun‐Yi Peng, Quốc Cường Nguyễn, Feng‐Huei Lin, Hung‐Ming Wu, Shankung Lin   +6 more
wiley   +1 more source

Distributionally Robust Energy Optimization with Renewable Resource Uncertainty

Mathematics
With the increasing prevalence of intermittent power generation, the volatility, intermittency, and randomness of renewable energy pose significant challenges to the planning and operation of distribution networks.
Zhangyi Wang, Rui Cao, Dan Tang, Chunsheng Wang, Xiaoyu Liu, Weiguang Hu   +5 more
doaj   +1 more source

An Optimal Distributionally Robust Auction

, 2020
Updated literature review and exposition; results ...
openaire   +2 more sources

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Distributionally Robust Optimization and Robust Statistics

Statistical Science
We review distributionally robust optimization (DRO), a principled approach for constructing statistical estimators that hedge against the impact of deviations in the expected loss between the training and deployment environments. Many well-known estimators in statistics and machine learning (e.g.
Blanchet, Jose, Li, Jiajin, Lin, Sirui, Zhang, Xuhui   +3 more
openaire   +2 more sources

Distributionally Robust Bayesian Quadrature Optimization

, 2020
AISTATS2020
Nguyen, Thanh Tang, Gupta, Sunil, Ha, Huong, Rana, Santu, Venkatesh, Svetha   +4 more
openaire   +2 more sources

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

A new distributionally robust reward-risk model for portfolio optimization

Open Mathematics
A new distributionally robust ratio optimization model is proposed under the known first and second moments of the uncertain distributions. In this article, both standard deviation (SD) and conditional value-at-risk (CVaR) are used to measure the risk ...
Zhou Yijia, Xu Lijun
doaj   +1 more source