Results 91 to 100 of about 765 (256)

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

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

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

Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic. [PDF]

Comput Ind Eng, 2022
Ash C, Diallo C, Venkatadri U, VanBerkel P.   +3 more
europepmc   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 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

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

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

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