Results 91 to 100 of about 1,105,335 (289)
Robust high-cycle fatigue stress threshold optimization under uncertain loadings
Latin American Journal of Solids and StructuresThis paper proposes a strategy to achieve robust optimization of structures against high-cycle fatigue when a potentially large number of uncertain load cases are considered.
Alfredo R. de Faria +1 more
doaj +1 more source
A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
Discrete Dynamics in Nature and Society, 2018 Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration.
Changxi Ma +3 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Robust Quantum Error Correction via Convex Optimization
, 2007 We present a semidefinite program optimization approach to quantum error correction that yields codes and recovery procedures that are robust against significant variations in the noise channel.
Alireza Shabani +4 more
core +1 more source
A novel robust multi-objective evolutionary optimization algorithm based on surviving rate
Complex & Intelligent SystemsMulti-objective evolutionary optimization is widely utilized in industrial design. Despite the success of multi-objective evolutionary optimization algorithms in addressing complex optimization problems, research focusing on input disturbances remains ...
Wenxiang Jiang +3 more
doaj +1 more source
Practical Bayesian optimization in the presence of outliers [PDF]
, 2017 Inference in the presence of outliers is an important field of research as outliers are ubiquitous and may arise across a variety of problems and domains. Bayesian optimization is method that heavily relies on probabilistic inference.
Martinez-Cantin, Ruben +2 more
core +1 more source
Nonlinear distributionally robust optimization
Mathematical ProgrammingThis article focuses on a class of distributionally robust optimization (DRO) problems where, unlike the growing body of the literature, the objective function is potentially nonlinear in the distribution. Existing methods to optimize nonlinear functions in probability space use the Frechet derivatives, which present theoretical and computational ...
Mohammed Rayyan Sheriff +1 more
openaire +3 more sources
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Distributionally Robust Optimization with Polynomial Robust Constraints
Journal of Global Optimization25 ...
Jiawang Nie, Suhan Zhong
openaire +3 more sources
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source