Results 31 to 40 of about 6,261,355 (138)

Hybrid Inertial–Centrifugal Gas–Liquid Separator: CFD‐Driven Optimization Using Coupled Discrete Phase and Wall‐Film Modeling With Response Surface Methodology

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Efficient removal of liquid aerosols from compressed gas streams is essential in chemical and energy processes. Conventional separators relying on a single mechanism (inertial or centrifugal) struggle to capture both fine and coarse droplets simultaneously.
Son Ung Kang, Phyong Jon Thak, Kyong Jun Ri, Chung Hyok Choe   +3 more
wiley   +1 more source

How Is FinTech Shaping Household Portfolio Behaviour?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley   +1 more source

Economies of Scale to Consumption in Collective Households

Journal of Applied Econometrics, EarlyView.
ABSTRACT Browning et al. (2013) model collective‐household economies of scale in goods consumption by having each good be partly shared, instead of each good being public or private. We modify their model to achieve simple point identification and estimation of the economies of scale of consumption of each good, and we provide a new index of household ...
Hsin‐Yuan Hsieh, Arthur Lewbel, Krishna Pendakur   +2 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Genetic Associations of Functional Longevity With Sexual Precocity and Growth Traits in Nellore Beef Cattle. [PDF]

J Anim Breed Genet
ABSTRACT Functional longevity (FL) is a complex trait that integrates many attributes directly contributing to the successful retention and productivity of a cow within the herd. Consequently, improving FL in beef cattle increases herd profitability. This study aimed to estimate the genetic associations between two alternative FL definitions and traits
Dos Santos DR, de Souza Silva Fernandes G, Boligon AA, Santana ML, de Oliveira Menezes GR, Ayres DR, Bignardi AB, Pereira RJ.   +7 more
europepmc   +2 more sources

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Spectrum of subblocks of structured random matrices : A free probability approach [PDF]

, 2023
We present a new efficient method, based on an extremization problem, for computing the spectrum of subblocks of large structured random matrices. This method applies to ensembles of matrices satisfying three fundamental properties, which we discuss.
Bernard, Denis, Hruza, Ludwig
core   +1 more source