Results 101 to 110 of about 159,833 (300)
Modelling and solution methods for stochastic optimisation [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
core
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
As the proportion of new energy continues to increase, the safety and stability of the new power system are challenged, urgently requiring the allocation of new flexible resources.
Hailin Yang +4 more
doaj +1 more source
Pareto front for two-stage distributionally robust optimization problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Agostinho Agra, Filipe Rodrigues 0002
openaire +1 more source
Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations [PDF]
Mathematics Subject Classification: 49K99; 65K10; 90C29; 90C46.This paper focuses on the study of robust two-stage quadratic multiobjective optimization problems.
Eberhard, A +4 more
core +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
A Lagrangian dual method for two-stage robust optimization with binary uncertainties
This paper presents a new exact method to calculate worst-case parameter realizations in two-stage robust optimization problems with categorical or binary-valued uncertain data. Traditional exact algorithms for these problems, notably Benders decomposition and column-and-constraint generation, compute worst-case parameter realizations by solving mixed ...
openaire +2 more sources
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
Optimal dispatching is key to improving energy utilization and the economic operation of microgrid systems. The growing integration of new elements such as distributed power sources and electric vehicles greatly challenges power system balancing.
SHI Dongshan +4 more
doaj
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source

