Results 271 to 280 of about 26,118,825 (339)
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Transportation letters, 2021
This study examines the causal relationship between road transportation and economic growth in 31 provinces and municipalities in China by using province-level panel data covering the period from 1980 to 2015.
Fengwu Zhu, Xu Wu, W. Peng
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This study examines the causal relationship between road transportation and economic growth in 31 provinces and municipalities in China by using province-level panel data covering the period from 1980 to 2015.
Fengwu Zhu, Xu Wu, W. Peng
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Energy consumption, carbon emissions and economic growth in Pakistan: Dynamic causality analysis
Renewable and Sustainable Energy Reviews, 2017F. Mirza, Afra Kanwal
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Physical Medicine and Rehabilitation Clinics of North America, 2002
This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
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This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
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, 2021
This paper investigates the relationship between investor attention and the major cryptocurrency markets by wavelet-based quantile Granger causality. The wavelet analysis illustrates the interdependence between investor attention and the cryptocurrency ...
Rong Li, Sufang Li, Di Yuan, Huiming Zhu
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This paper investigates the relationship between investor attention and the major cryptocurrency markets by wavelet-based quantile Granger causality. The wavelet analysis illustrates the interdependence between investor attention and the cryptocurrency ...
Rong Li, Sufang Li, Di Yuan, Huiming Zhu
semanticscholar +1 more source
Annual Review of Sociology, 2022
Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices
Weihua An +2 more
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Energy, 2019
The study investigates the causal relationship between energy consumption, economic growth, and CO2 emission through both single- and multi-country Granger causality analysis in the frequency domain considering eight oil-rich MENA countries; namely ...
Muhammed Sehid Gorus, Mucahit Aydin
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The study investigates the causal relationship between energy consumption, economic growth, and CO2 emission through both single- and multi-country Granger causality analysis in the frequency domain considering eight oil-rich MENA countries; namely ...
Muhammed Sehid Gorus, Mucahit Aydin
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IEEE Transactions on Industrial Informatics
Process monitoring and fault root cause analysis of industrial processes play a critical role to inform timely maintenance and ensure safe production. Existing distributed monitoring frameworks are able to determine the fault occurrence units, but often ...
Qingchao Jiang +4 more
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Process monitoring and fault root cause analysis of industrial processes play a critical role to inform timely maintenance and ensure safe production. Existing distributed monitoring frameworks are able to determine the fault occurrence units, but often ...
Qingchao Jiang +4 more
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Data-driven dynamic inferential sensors based on causality analysis
, 2020Considering the stringent requirements for product quality of complex industrial processes, the purpose of this study is to apply causality analysis to select causal features of quality-relevant variables; and then to improve the prediction performance ...
Liang Cao +4 more
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, 2020
As fault detection technologies have been developed, process fault diagnosis at early abnormal stage has come to be considered a major problem. In this work, a method to analyze the root cause of faults is developed to provide proper information at the ...
Hahyung Pyun +4 more
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As fault detection technologies have been developed, process fault diagnosis at early abnormal stage has come to be considered a major problem. In this work, a method to analyze the root cause of faults is developed to provide proper information at the ...
Hahyung Pyun +4 more
semanticscholar +1 more source
Current Issues in Tourism, 2018
In this paper, we examine the direction of causality between tourism, economic growth and carbon emissions in a multivariate framework that incorporates the newly introduced globalization index as an additional variable.
S. Akadiri +3 more
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In this paper, we examine the direction of causality between tourism, economic growth and carbon emissions in a multivariate framework that incorporates the newly introduced globalization index as an additional variable.
S. Akadiri +3 more
semanticscholar +1 more source