Search Results - "nonlinear relationship"

The subject of this study is to empirically investigate the relationship between working capital and firm performance in India. The purpose of the study is to test the impact of optimal working capital on a firm’s market value and profitability. Methodology: The Generalised Method of Movement is emp...

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Against the backdrop of urban green low-carbon transformation and AI-empowered digital economy development, examining the impact of digital economy on carbon emissions has become a crucial research topic. This study employs the entropy weight method to calculate the digital economy development index...

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Forest ecosystems underpin global ecological security, yet China’s forest landscapes are subjected to dual pressures of restoration and degradation, with complex spatiotemporal dynamics that remain insufficiently understood. While existing studies focus on static landscape metrics, the nonlinear int...

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The research aims to look at the linear and nonlinear causal relationships between Brazil’s accumulated international reserves and economic growth from 1989 Q1 through 2021 Q4. For empirical investigation, this study employed econometric procedures such as the Augmented Dickey Fuller and Zivot-Andre...

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With the economy’s and society’s rapid development, reservoir construction has gradually become an essential infrastructure for water resource regulation, flood control and disaster reduction, and power generation. However, involuntary migration is an increasingly prominent global challenge, present...

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BackgroundCardiovascular disease (CVD) remains the leading global cause of death, with inflammation and glycolipid dysregulation as key drivers of atherosclerosis progression. While triglyceride-glucose index (TyG) and Atherogenic Index of Plasma (AIP) are linked to cardiovascular risk, their progno...

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Urban morphology critically shapes environmental performance, yet few studies integrate multiple sustainability targets within a unified modeling framework for its design optimization. This study proposes a data-driven, multi-scale approach that combines parametric simulation, artificial neural netw...

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Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has long been argued that it is necessary to mean center prior to conducting the analysis. A review of the...

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The impact of the built environment (BE) on urban vitality (UV) has become a key issue in the field of urban planning. However, few studies have explored the impact of the BE on UV from the perspective of urban function zones (UFZs). Taking the central urban area of Tianjin as an example, this paper...

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The accurate prediction of the Maximum Power Point (PMPP) in photovoltaic (PV) systems is critical for optimizing energy yield and enhancing solar energy harvesting efficiency. This study explores the application of data-driven methods to improve PMPP prediction, utilizing advanced regression techni...

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