Results 131 to 140 of about 41,558 (198)
Abstract Purpose (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Justino R. Rodríguez‐Galván +7 more
wiley +1 more source
Kinetic Compensation of Barrel Launch Under High‐Speed Solid‐Phase Particulate Impacts
ABSTRACT An accurate launch‐dynamics computational method is critical for barrel weapon service life assessment and multiphase physics field refinement. Given the lack of studies on the solid‐phase buildup behavior at the projectile base, this paper provides an improved method for calculating the launching dynamics under high pressure and high speed ...
Zhiyi He +3 more
wiley +1 more source
New Policies Exploiting Randomness of Lead Times in Inventory Systems
ABSTRACT Recent research provided proof‐of‐concept that the randomness of lead times in inventory systems can be exploited to achieve large—potentially unlimited—performance improvements, compared to the case of constant lead time. Specifically, the Generalized Base Stock (GBS) policy serves as such proof‐of‐concept—it can deliver unlimited ...
Alexander L. Stolyar +2 more
wiley +1 more source
ABSTRACT Security agencies around the world use bodyguards to protect government officials and public figures. In this paper, we consider a two‐person zero‐sum game between a defender who allocates such bodyguards to protect several targets and an attacker who chooses one target to attack.
Loe Schlicher, Kyle Y. Lin, Moshe Kress
wiley +1 more source
Assortment Planning in Omnichannel Retailing Under Product Returns and Showcase Capacity
ABSTRACT We investigate the assortment planning decisions of a retailer that operates an online sales channel and a brick‐and‐mortar store. We explicitly investigate the impact of product returns, which is a norm in modern retailing and a factor for lost profit.
Amin Aslani, Osman Alp
wiley +1 more source
A Large Magneto‐Optical Trap of Cadmium Atoms Loaded From a Cryogenic Buffer Gas Beam
We demonstrate laser cooling and trapping of cadmium atoms using deep‐ultraviolet light at 229 nm, capturing more than 1×107$1\times10^{7}$ atoms within 10 ms from a compact 5 cm Zeeman slower and cryogenic beam source. We achieve peak densities of 2.5×1011cm−3$2.5\times10^{11} \,\text{cm}^{-3}$ and phase‐space densities of 2×10−9$2\times10^{-9}$.
J. E. Padilla‐Castillo +9 more
wiley +1 more source
Optimal adaptive reinforcement learning control using an actor‐critic architecture. The controller learns optimal control policies online from data measured along the trajectories of a plug flow system ABSTRACT This article is devoted to optimal adaptive control for a distributed parameter convection‐reaction system by reinforcement learning (RL ...
Abdellaziz Binid, Ilyasse Aksikas
wiley +1 more source
Manufacturing of PP‐Based Composite Sandwich Panels via Simultaneous Foaming and Skin‐Core Bonding
One‐step CO2 physical foaming process for manufacturing thermoplastic sandwich panels: in‐situ expansion of a foaming‐grade PP core and fusion bonding with PP/glass fiber composite skins. ABSTRACT Sandwich panels are skin‐core‐skin structures commonly used in aerospace applications due to their high strength‐to‐weight ratio and flexural stiffness.
Paolo Trucillo +4 more
wiley +1 more source
ABSTRACT Model‐based meta‐analysis allows integration of aggregated‐level data (AD) from different clinical trials in one model to assess population efficacy/safety. However, AD is limited in individual‐level information, while individual‐patient‐level data (IPD) are hard to obtain. Combined modeling may take advantage of both sources.
Liang Yang +6 more
wiley +1 more source
Introducing non‐Gaussian observation errors into incremental variational data assimilation methods
We propose a new method, called the evolving‐Gaussian method, to incorporate non‐Gaussian observation error into data assimilation methods that use Gauss–Newton‐based outer loops. The key idea is to approximate the gradient of the non‐Gaussian cost function locally by using a chosen Gaussian cost function during the minimization.
Chih‐Chi Hu +2 more
wiley +1 more source

