Results 41 to 50 of about 68,699 (263)
Optimization with Stochastic Dominance Constraints [PDF]
SIAM Journal on Optimization, 2003 The paper refers to a model regarding the investment of a number of capital assets in order to obtain under the random returns of assets some desirable characteristics of the total return on the investment. The model is a stochastic optimization problem involving stochastic dominance constraints.
Darinka Dentcheva, Andrzej Ruszczyński
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Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN
Applied 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
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Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
FEBS 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
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Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties
Zhongguo dianliThe 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
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Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios
Mathematics, 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
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging 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
FROST—Fast row-stochastic optimization with uncoordinated step-sizes
EURASIP Journal on Advances in Signal Processing, 2019 In this paper, we discuss distributed optimization over directed graphs, where doubly stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue by applying push-sum consensus, which utilizes column-stochastic weights ...
Ran Xin, Chenguang Xi, Usman A. Khan
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A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization
CoRR, 2019 49 pages, 2 tables, 9 ...
Quoc Tran-Dinh +3 more
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