Results 101 to 110 of about 1,126,919 (280)
Violations of dominance in decision-making
A key premise underlying most of the economic literature is that rational decision-makers will choose dominant strategies over dominated alternatives. However, prior literature in various disciplines including business, psychology, and economics document
Thomas Kourouxous, Thomas Bauer
doaj +1 more source
Second-Order Stochastic Optimization for Machine Learning in Linear Time
First-order stochastic methods are the state-of-the-art in large-scale machine learning optimization owing to efficient per-iteration complexity. Second-order methods, while able to provide faster convergence, have been much less explored due to the high
Agarwal, Naman +2 more
core
Stochastic ordering constraint for ordered extremes
The constraint of two ordered extreme minima random variables when one variable is consider to be stochastically smaller than the other one has been carried out in this article. The quantile functions of the probability distribution have been used to establish partial ordering between the two variables. Some extensions and generalizations are given for
openaire +2 more sources
Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
This paper considers parallel and series systems with heterogeneous components having dependent exponential lifetimes. The underlying dependence is assumed to be Archimedean and the component lifetimes are supposed to be connected according to an ...
Mansour Shrahili
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Investigation of high order stochastic differential equations using averaging method
The averaging method is a useful tool for investigating both deterministic and stochastic quasilinear system. In the stochastic problems, however, the method has often been developed only for mechanical systems subjected to white noise excitations.In the
Nguyen Dong Anh, Ngo Thi Hong Hue
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Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
wiley +1 more source
Exact solutions of stochastic Burgers–Korteweg de Vries type equation with variable coefficients
We will present exact solutions for three variations of the stochastic Korteweg de Vries–Burgers (KdV–Burgers) equation featuring variable coefficients.
Kolade Adjibi +6 more
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Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source

