Results 61 to 70 of about 17,798 (304)

Sequential approximate multi-objective optimization using RBF network

open access: yes, 2010
In this paper, a sequential approximate multi-objective optimization procedure by the Radial Basis Function (RBF) network with the Satisficing Trade-Off Method (STOM) is proposed.
275   +11 more
core   +1 more source

An optimal sequential algorithm for the uniform approximation of convex functions on [0,1]2 [PDF]

open access: yesApplied Mathematics & Optimization, 1983
In this paper an algorithm is given for the sequential selection ofN nodes (i.e., measurement points) for the uniform approximation (recovery) of convex functions over [0, 1]2, which has almost optimal order global error, (źc1Nź1lgN), over a naturally defined class of convex functions.
openaire   +3 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Approximate Probabilistic Optimization Using Exact-Capacity (ecard)

open access: yes, 2009
Probabilistic structural design deals with uncertainties in response (e.g. stresses) and capacity (e.g. failure stresses). The calculation of the structural response is typically expensive (e.g., finite element simulations), while the capacity is usually
Acar, Erdem   +4 more
core   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

open access: yes, 2011
Approximate Bayesian computation (ABC) has gained popularity over the past few years for the analysis of complex models arising in population genetics, epidemiology and system biology.
Barnes, C   +7 more
core  

Constrained optimization in simulation: a novel approach. [PDF]

open access: yes
This paper presents a novel heuristic for constrained optimization of random computer simulation models, in which one of the simulation outputs is selected as the objective to be minimized while the other outputs need to satisfy prespeci¯ed target values.
Van Nieuwenhuyse, Inneke   +2 more
core   +2 more sources

Dynamic Optimal Control of a One-Dimensional Magnetohydrodynamic System With Bilinear Actuation

open access: yesIEEE Access, 2018
The manipulation of the magnetic field has been a proven effective method to change the flow velocity in magnetohydrodynamics (MHD) flow systems. In this paper, we consider a novel bilinear magnetic control problem arising in a 1-D MHD flow system ...
Zhigang Ren   +3 more
doaj   +1 more source

Bi-objective design optimization for weldline reduction and short cycle time using variable injection velocity and variable packing pressure in plastic injection molding

open access: yesNihon Kikai Gakkai ronbunshu, 2020
As weldline that is formed when two or more flow fronts meet has an influence on not only the appearance but also the strength of a plastic product, it is important to reduce it as much as possible.
Satoshi KITAYAMA   +5 more
doaj   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

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