Results 81 to 90 of about 720 (191)

The Role of Remittances and FDI for the Current Account: The Case of Cambodia

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract This paper develops a small open economy real‐business‐cycle model to examine the dynamics of Cambodian current account. Differing from previous studies, our model incorporates both net foreign direct investment (FDI) and remittances as additional sources of macro‐economic fluctuations. Our results reveal that these two factors, especially FDI,
VEASNA KHENG, LEI PAN, XIAODONG FAN
wiley   +1 more source

‎A spectral collocation method‎ for solving stochastic fractional integro-differential equation [PDF]

open access: yesMathematics and Computational Sciences
In this paper‎, ‎a numerical scheme based on shifted Vieta-Lucas polynomials is utilised to solve mentioned equation‎. ‎The main characteristic of the presented method is to approximate Brownian motion with help of the Gauss-Legendre quadrature‎, ‎which ...
Mahsa Zaboli, Haleh Tajadodi
doaj   +1 more source

Is acquisition‐related foreign direct investment during an economic crisis detrimental for domestic innovation?

open access: yesThe Scandinavian Journal of Economics, EarlyView.
Abstract We study how acquisition‐related foreign direct investment during economic crises affects R&D investments and the direction of innovation of target firms, compared with acquisitions made during periods of strong economic growth. Using a panel of Spanish firms, we find that foreign multinationals cherry‐pick the best domestic firms ...
María García‐Vega   +2 more
wiley   +1 more source

Application of Legendre spectral-collocation method to delay differential and stochastic delay differential equation

open access: yesAIP Advances, 2018
Explicit solutions to delay differential equation (DDE) and stochastic delay differential equation (SDDE) can rarely be obtained, therefore numerical methods are adopted to solve these DDE and SDDE.
Sami Ullah Khan, Ishtiaq Ali
doaj   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

The Influence of Random Element Displacement on DOA Estimates Obtained with (Khatri–Rao-)Root-MUSIC

open access: yesSensors, 2014
Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Veronique Inghelbrecht   +3 more
doaj   +1 more source

Population Changes and Spatial Segregation Dynamics in Southern European Urban Areas: The Case of Messina

open access: yesPopulation, Space and Place, Volume 32, Issue 5, July 2026.
ABSTRACT European countries have experienced significant transformations in their urban populations, with a resurgence of the residential segregation challenges. Yet, empirical analyses focusing on spatial dynamics within urban areas and between the main urban places, along with the changes in demographic profiles of populations, remain rare. The study
Francesca Bitonti   +3 more
wiley   +1 more source

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

open access: yesAdvanced Healthcare Materials, Volume 15, Issue 23, 19 June 2026.
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

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang   +4 more
wiley   +1 more source

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