Results 41 to 50 of about 67,878 (263)

Normalized convergence in stochastic optimization [PDF]

open access: yesAnnals of Operations Research, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuri M. Ermoliev, Vladimir I. Norkin
openaire   +5 more sources

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN

open access: yesApplied Sciences, 2023
To satisfy the continuously high energy consumption and high computational capacity requirements for IoT applications, such as video monitoring, we integrate solar harvesting and multi-access edge computing (MEC) technologies to develop a solar-powered ...
Juan Gao, Runze Wu, Jianhong Hao
doaj   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

open access: yesAging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang   +3 more
wiley   +1 more source

Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios

open access: yesMathematics, 2020
Simheuristics combine metaheuristics with simulation in order to solve the optimization problems with stochastic elements. This paper introduces the concept of fuzzy simheuristics, which extends the simheuristics approach by making use of fuzzy ...
Diego Oliva   +5 more
doaj   +1 more source

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization

open access: yesCoRR, 2019
49 pages, 2 tables, 9 ...
Quoc Tran-Dinh   +3 more
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties

open access: yesZhongguo dianli
The formulation of inventory optimization strategies for biomass power plants is the basis for ensuring regional power supply. However, the seasonality and demand uncertainty of biofuels have brought great challenges to inventory optimization.
Jinliang ZHANG, Zeping HU
doaj   +1 more source

Stochastic Optimization for an Analytical Model of Saltwater Intrusion in Coastal Aquifers. [PDF]

open access: yesPLoS One, 2016
The present study implements a stochastic optimization technique to optimally manage freshwater pumping from coastal aquifers. Our simulations utilize the well-known sharp interface model for saltwater intrusion in coastal aquifers together with its ...
Stratis PN   +4 more
europepmc   +2 more sources

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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