Results 121 to 130 of about 6,180 (210)
Robust Expansion Planning of Electric Vehicle Charging System and Distribution Networks
Large integration of electric vehicles (EVs) brings uncertainties and challenges for distribution networks. Reliability and allocation of charging systems (charging stations and piles) need strong support from the distribution network, whose expansion ...
Yue Xiang +7 more
doaj +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter
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 +2 more
doaj +1 more source
Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer +14 more
wiley +1 more source
Deciding the locations of shelters and how to assign evacuees to these locations is crucial for effective disaster management. However, the inherent uncertainty in evacuation demand makes it challenging to make optimal decisions.
Kai Tang, Toshihiro Osaragi
doaj +1 more source
Wasserstein Distributionally Robust Regret Optimization
Distributionally Robust Optimization (DRO) is a popular framework for decision-making under uncertainty, but its adversarial nature can lead to overly conservative solutions. To address this, we study ex-ante Distributionally Robust Regret Optimization (DRRO), focusing on Wasserstein-based ambiguity sets which are popular due to their links to ...
Fiechtner, Lukas-Benedikt +1 more
openaire +2 more sources
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
On the one hand, carbon tax is an environmental policy aimed at reducing carbon dioxide emissions, but it is difficult to implement in areas relying on coal combustion and other carbon intensive areas.
XU Min, SONG Wenqin, WANG Zhuxiu
doaj +1 more source
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
The uncoordinated integration of numerous distributed resources poses significant challenges to the safe and stable operation of distribution networks. To address the uncertainties associated with the intermittent output of distributed power sources, we ...
Yudun Li +6 more
doaj +1 more source

