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Green human resource management, competitive advantages, and green ambidexterity: using partial least squares structural equation modeling and necessary condition analysis
This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive...
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Simultaneous removal of phenoxy herbicides, 2-methyl-4-chlorophenoxyacetic acid and 2,4-dichlorophenoxyacetic acid from aqueous media by magnetized MgAl-LDH@Fe3O4 composite: application of partial least squares and Doehlert experimental design
Today, the excessive and increasing use of phenoxy family herbicides such as 2-methyl-4-chlorophenoxyacetic acid (MCPA) and (2,4- dichlorophenoxy)...
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Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, **njiang, China
Surface water quality deterioration is commonly associated with environmental changes and human activities. Although some research has been carried...
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Pathway analysis of food security by employing climate change, water, and agriculture nexus in Pakistan: partial least square structural equation modeling
Increasing population and augmented demand for food have put burden on water resources, crops, and livestock for future sustainability. Pakistan is...
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Robust Regression in Environmental Modeling Based on Bayesian Additive Regression Trees
One challenging task in analyzing environmental data is how to achieve better prediction in presence of outliers, which is inevitable, especially in...
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Development of statistical regression and artificial neural network models for estimating nitrogen, phosphorus, COD, and suspended solid concentrations in eutrophic rivers using UV–Vis spectroscopy
River water quality monitoring is crucial for understanding water dynamics and formulating policies to conserve the water environment. In situ...
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Data-driven reference evapotranspiration (ET0) estimation: a comparative study of regression and machine learning techniques
Precise computation of evapotranspiration is critical for an efficient irrigation planning and managing agriculture water. This investigation aimed...
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Environmental regulation, corporate strategy and trade costs: a regression discontinuity in time design
Under local protectionism, environmental regulation may harm market integration and create expensive domestic trade cost. After matching data of...
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An eco-environmental efficiency analysis of Malaysia sewage treatment plants: an incorporated window-based data envelopment analysis and ordinary least square regression
Most human activities that use water produced sewage. As urbanization grows, the overall demand for water grows. Correspondingly, the amount of...
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Online Detection of Component Concentration in Synthetic Sodium Aluminate Solution Using Orthogonal Regression and BP Neural Network
The online measurement of component concentrations in sodium aluminate solution is crucial for the Bayer alumina production process. In this paper,...
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Modeling CO2 exchange and meteorological factors of an apple orchard using partial least square regression
The eddy covariance (EC) technique was used to measure variations of orchard-atmosphere CO 2 exchange, as a function of meteorological variables in an...
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Evaluation of data pre-processing and regression models for precise estimation of soil organic carbon using Vis–NIR spectroscopy
PurposeRapid and accurate estimation of soil organic carbon (SOC) based on near-infrared spectroscopy can assist sustainable agricultural...
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A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China
Accurate and reliable water quality forecasting is of great significance for water resource optimization and management. This study focuses on the...
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Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift
As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensive, drift predicting models may provide a...
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Preliminary construction of a microecological evaluation model for uranium-contaminated soil
With the extensive development of nuclear energy, soil uranium contamination has become an increasingly prominent problem. The development of...
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Stream water quality prediction using boosted regression tree and random forest models
Reliable water quality prediction can improve environmental flow monitoring and the sustainability of the stream ecosystem. In this study, we...
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Coupling of quantile regression into boosted regression trees (BRT) technique in forecasting emission model of PM10 concentration
Air pollution is currently becoming a significant global environmental issue. The sources of air pollution in Malaysia are mobile or stationary....
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Evaluating Aflatoxin Contamination Control Practices among Smallholder Maize Farmers in Kilifi County, Kenya: A Poisson Regression Analysis
Aflatoxin contamination remains a major global food safety challenge, with serious implications on agriculture and public health. Kenya has...
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Framework for Measuring Controlling Function Management of Vietnam’s Public Construction Works
The controlling function plays a vital role in successfully managing public construction works. Several studies have focused on the area of...
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Evaluation of water quality based on artificial intelligence: performance of multilayer perceptron neural networks and multiple linear regression versus water quality indexes
A significant problem in the sustainable management of water resources is the lack of funding and long-term monitoring. Today, this problem has been...
