Results 131 to 140 of about 9,334 (269)
Distributionally Robust Energy Optimization with Renewable Resource Uncertainty
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 +5 more
doaj +1 more source
Distributionally robust mean-absolute deviation portfolio optimization using wasserstein metric. [PDF]
Chen D, Wu Y, Li J, Ding X, Chen C.
europepmc +1 more source
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
Flow-Based Distributionally Robust Optimization
IEEE Journal on Selected Areas in Information Theory (JSAIT).
Chen Xu +3 more
openaire +2 more sources
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 +8 more
wiley +1 more source
Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic. [PDF]
Ash C +3 more
europepmc +1 more source
ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Learning Optimal Distributionally Robust Individualized Treatment Rules. [PDF]
Mo W, Qi Z, Liu Y.
europepmc +1 more source
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
To reduce the impact of extreme natural disasters on urban distribution networks and improve the interpretability of planning decisions, this paper proposes a distributionally robust planning strategy for distribution networks that considers decision ...
Xuming Chen, Le Liu, Xiaoning Kang
doaj +1 more source

