Results 61 to 70 of about 7,143,501 (298)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
, 2017 Canonical duality-triality is a breakthrough methodological theory, which can be used not only for modeling complex systems within a unified framework, but also for solving a wide class of challenging problems from real-world applications.
Ruan, Ning +5 more
core +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Multiobjective Lagrangian duality for portfolio optimization with risk measures [PDF]
In this paper we present an application for a multiobjective optimization problem. The objective functions of the primal problem are the risk and the expected pain associated to a portfolio vector. Then, we present a Lagrangian dual problem for it.
Elisa Pagani
core
EURO Journal on Computational OptimizationModeling parts of an optimization problem as an optimal value function that depends on a top-level decision variable is a regular occurrence in optimization and an essential ingredient for methods such as Benders Decomposition.
Markus Gabl, Immanuel M. Bomze
doaj +1 more source
Topology optimization of a load-bearing structure via the method of convex linearization
Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2018 A method of topology optimization based on the convex linearization approach is proposed. The problem formulation implies minimization of the strain energy of a structure subject to volume constraint.
E. A. Kishov, V. A. Komarov
doaj +1 more source
Duality Theory in Continuous-Time Linear Optimization
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 2020 In this work, classical results from duality theory are obtained for continuous-time linear optimization problems with inequality constraints. Weak and strong duality properties, as well as, the complementary slackness theorem are established.
openaire +2 more sources
Arthritis Care &Research, EarlyView.Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan +10 more
wiley +1 more source
Duality and calculi without exceptions for convex objects [PDF]
The aim of this paper is to make a contribution to theinvestigation of the roots and essence of convex analysis, and tothe development of the duality formulas of convex calculus.
Brinkhuis, J.
core
Canonical Duality Theory for Solving Nonconvex/Discrete Constrained Global Optimization Problems
, 2017 This paper presents a canonical duality theory for solving general nonconvex/discrete constrained minimization problems. By using the canonical dual transformation, these challenging problems can be reformulated as a unified canonical dual problem (i.e.,
Ruan, Ning +3 more
core +1 more source