Results 111 to 120 of about 6,626 (272)

Splitting Algorithms for Distributionally Robust Optimization

25 ...
Briceño-Arias, Luis, López-Rivera, Sergio, Vilches, Emilio   +2 more
openaire   +3 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +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

A Distributionally Robust Optimization Method for Passenger Flow Control Strategy and Train Scheduling on an Urban Rail Transit Line. [PDF]

Engineering (Beijing), 2022
Lu Y, Yang L, Yang K, Gao Z, Zhou H, Meng F, Qi J.   +6 more
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Carbon-aware mobile energy storage system scheduling in active power distribution systems under PV and traffic uncertainties

Energy Reports
Carbon emission flow (CEF) is a promising approach for assessing both generation-and consumption-side carbon footprints in the power system sector. In this study, we propose a carbon-aware mobile energy storage system (MESS) scheduling framework that ...
Panggah Prabawa, Dae-Hyun Choi
doaj   +1 more source

Distributionally Robust Linear and Discrete Optimization with Marginals

Operations Research, 2018
In optimization problems, decisions are often made in the face of uncertainty that might arise in the form of random costs or benefits. In “Distributionally Robust Linear and Discrete Optimization with Marginals,” Louis Chen, Will Ma, Karthik Natarajan, David Simchi-Levi, and Zhenzhen Yan study a robust bound of linear and discrete optimization ...
Louis Chen, Will Ma, Karthik Natarajan, David Simchi-Levi, Zhenzhen Yan   +4 more
openaire   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter

Machine Learning and Knowledge Extraction
This paper introduces a novel framework for Distributionally Robust Bayesian Optimization (DRBO) with continuous context that integrates optimal transport theory and entropic regularization.
Iman Seyedi, Antonio Candelieri, Francesco Archetti   +2 more
doaj   +1 more source