Results 61 to 70 of about 17,798 (304)
Sequential approximate multi-objective optimization using RBF network
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]
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
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)
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 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
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]
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
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
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
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

