Results 91 to 100 of about 260,906 (309)
Government spending in the agricultural sector: Optimal ratio with lending and the impact on the agricultural production [PDF]
An effective government agropolicy should be balanced: To reduce the state budget pressure, it is important to reduce public spending and encourage farmers to use agricultural loans.
Bayali Atashov +2 more
doaj +1 more source
LOW-INCOME HOUSEHOLDS' EXPENDITURES ON FRUITS AND VEGETABLES [PDF]
This report analyzes fruit and vegetable expenditures by low-income households and higher income households, and compares the sensitivity of both groups' purchases to changes in income. On average, low-income households spent $3.59 per capita per week on
Jolliffe, Dean +2 more
core
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Government Expenditures, Military Spending and Economic Growth: Causality Evidence from Egypt, Israel and Syria [PDF]
This study uses multivariate cointegration and variance decomposition techniques to investigate the causal relationship between government expenditures and economic growth for Egypt, Israel and Syria, for the past three decades.
Suleiman Abu-Bader, Aamer Abu-Qarn
core +2 more sources
GOVERNMENT EXPENDITURES IN CHINA AND TAIWAN: DO THEY FOLLOW WAGNER¡¯S LAW? [PDF]
This paper tests Wagner¡¯s Law for China and Taiwan, using annual time series data covering the period 1979-2002. To estimate the long-run relationship between government expenditures and output, we use a robust estimation method known as the Bounds Test
Chiung-Ju Huang
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
The growth of public health expenditures in OECD countries: do government ideology and electoral motives matter? [PDF]
This paper empirically evaluates whether government ideology and electoral motives influenced the growth of public health expenditures in 18 OECD countries over the 1971-2004 period.
Potrafke, Niklas
core
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Lyfe-cycle effects on household expenditures: A latent-variable approach [PDF]
Using data from the Spanish household budget survey, we investigate life- cycle effects on several product expenditures. A latent-variable model approach is adopted to evaluate the impact of income on expenditures, controlling for the number of members ...
Eva Ventura, Albert Satorra
core
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source

