Fei Ma
Biographic Data
| ID | 5484720 |
|---|---|
| NAME | Fei Ma |
| GIVEN NAMES | Fei |
| FAMILY NAME | Ma |
| SIGNATURE | MA F |
| AFFILIATIONS | Chang'an University |
| ORCID | 0000-0002-5472-4763 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 20 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A study of the perception and attitude of Chinese users to media content created by generative AI
The rapid growth of technology has always been the main driving force behind media development and a key element contributing to profound changes in China's media industry. The rapid development of generative artificial intelligence has allowed the media to overcome the shortage of labor and time, which has led to dramatic increases in productivity and creativity, as well as profound transformations in the production of media content in favor of …
Association between volatile organic compounds exposure and cardiometabolic function
Background: The Cardiometabolic Index (CMI) is a new metric used to assess an individual's cardiovascular and metabolic status. Volatile Organic Compounds (VOCs) are common environmental pollutants associated with cardiovascular diseases and lipid metabolism disorders. This study aims to investigate the relationship between VOC exposure and CMI. Methods: Data from NHANES (2011-2020) were used to assess the impact of VOC exposure on cardiometaboli…
Unraveling the link between physical activity and cognitive function
Greater engagement in physical activity is associated with better cognitive function, and this association is partially mediated by depressive symptoms. These findings underscore the importance of promoting physical activity to support cognitive health in older adults, with particular attention to its potential role in mitigating depressive symptoms
Projecting trends in the disease burden of adult edentulism in China between 2020 and 2030
Purpose: This study was based on the Global Burden of Disease (GBD) database and aimed to analyze the trend of disease burden for complete edentulism in Chinese adults between 1990 and 2030, and to provide valuable information for the development of more effective management and preventive measures. Methods: Data on Chinese adults with complete edentulism from 1990 to 2019 was analyzed using GHDx data. Descriptive analyses were used to analyze ch…
Bivariate extreme value analysis of extreme temperature and mortality in Canada, 2000-2020
Climate change increases the risk of illness through rising temperature, severe precipitation and worst air pollution. This paper investigates how monthly excess mortality rate is associated with the increasing frequency and severity of extreme temperature in Canada during 2000-2020. The extreme associations were compared among four age groups across five sub-blocks of Canada based on the datasets of monthly T90 and T10, the two most representati…
A theoretical investigation of user acceptance of autonomous public transport
Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments
As concerns around climate change and global warming intensify, extreme weather events such as heavy rain, blizzards, and smog-induced haze have greatly impacted the commuting travel mode selection of urban residents. Such behavioral shifts have in turn led to changes of the carbon emissions generated from these residents. This paper constructs a “extreme weather ( W)–travel behavior ( B)–carbon emissions ( C)” research framework. Using a multipl…
Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network
The promotion of information flow reinforces the interactive cooperation and evolutionary process among cities. In the information age, public online search is a typical behavior of Internet society, which is the key to information flow generation and agglomeration. In this study, we attempt to explore the evolutionary characteristics of intercity networks driven by public online social behavior in the information age and construct an information…
Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network
In various applications of airborne laser scanning (ALS), the classification of the point cloud is a basic and key step. It requires assigning category labels to each point, such as ground, building or vegetation. Convolutional neural networks have achieved great success in image classification and semantic segmentation, but they cannot be directly applied to point cloud classification because of the disordered and unstructured characteristics of…
Causal Factors of Low Achievement in EFL Development
A large number of university students have poor performance in English language learning in mainland China. It is important to learn the cause of this phenomenon in order to give the learners effective intervention. The current study clarifies two terminologies, i.e., underachievement and low achievement. The phenomenon of low achievement is investigated with the tools of interview, questionnaire survey and classroom observation. Among the many p…
Libs and FTIR–ATR spectroscopy studies of mineral–organic associations in saline soil
Direct characterization of the spatial distribution of elements and compound binding of salt–organic associations in soil is imperative for understanding the mechanisms of organic matter decomposition and nutrient release involved in soil degradation and development processes. However, traditional chemical methods would damage the chemical bonds in salt–organic associations, and modern spectroscopic techniques provide alternative options for reso…
A study on the cross level transformation from individual creativity to organizational creativity
The Psychological Causes of Panic Buying Following a Health Crisis
Attributed to the recent COVID-19 pandemic, panic buying is now a frequent occurrence in many countries, leading to stockouts and supply chain disruptions. Consequently, it has received much attention from academics and the retail industry. The aim of this study is to review, identify, and synthesise the psychological causes of panic buying, which is a relatively new and unexplored area in consumer behaviour research. A systematic review of the r…
Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data
Mining subsidence is time-dependent and highly nonlinear, especially in the Loess Plateau region in Northwestern China. As a consequence, and mainly in building agglomerations, the structures can be damaged severely during or after underground extraction, with risks to human life. In this paper, we propose an approach based on a combination of a differential interferometric synthetic aperture radar (DInSAR) technique and a support vector machine …
Assessing the vulnerability of urban rail transit network under heavy air pollution
Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour
Public acceptance of autonomous vehicles (AVs) is vital for a society to reap their intended benefits such as reduced traffic accidents, land usage, congestion and environmental pollution. The purpose of this paper is to use the theory of planned behaviour to pinpoint and examine the components affecting public acceptance of AVs. A model consisting of a network of hypothesised relationships is introduced. Thereafter, 526 residents in Seoul, Korea…
The spatial coupling effect between urban public transport and commercial complexes
The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation
The association effect between provincial transportation carbon emissions has become an important issue in regional carbon emission management. This study explored the relationship and development trends associated with regional transportation carbon emissions. A social network method was used to analyze the structural characteristics of the spatial association of transportation carbon emissions. Indicators for each of the structural characterist…
Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions
In recent years, the frequent occurrence of rainstorms has seriously affected urban−public transport systems. In this study, we examined the impact of rainstorms on the vulnerability of urban−public transport systems consisting of both ground bus and metro systems, which was abstracted into an undirected weighted Bus−Metro complex bilayer network (Bus−Metro CBN) and the passenger volume was regarded as its weight. Through the changes in the node …
Tetramine poisoning in China
Tetramine poisoning events, as reported in the national Chinese media, fell after the implementation of strict regulation on tetramine. The causal relationship is not known
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Tetramine poisoning in China
Tetramine poisoning events, as reported in the national Chinese media, fell after the implementation of strict regulation on tetramine. The causal relationship is not known
The spatial coupling effect between urban public transport and commercial complexes
The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation
The association effect between provincial transportation carbon emissions has become an important issue in regional carbon emission management. This study explored the relationship and development trends associated with regional transportation carbon emissions. A social network method was used to analyze the structural characteristics of the spatial association of transportation carbon emissions. Indicators for each of the structural characterist…
Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions
In recent years, the frequent occurrence of rainstorms has seriously affected urban−public transport systems. In this study, we examined the impact of rainstorms on the vulnerability of urban−public transport systems consisting of both ground bus and metro systems, which was abstracted into an undirected weighted Bus−Metro complex bilayer network (Bus−Metro CBN) and the passenger volume was regarded as its weight. Through the changes in the node …
The Psychological Causes of Panic Buying Following a Health Crisis
Attributed to the recent COVID-19 pandemic, panic buying is now a frequent occurrence in many countries, leading to stockouts and supply chain disruptions. Consequently, it has received much attention from academics and the retail industry. The aim of this study is to review, identify, and synthesise the psychological causes of panic buying, which is a relatively new and unexplored area in consumer behaviour research. A systematic review of the r…
Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data
Mining subsidence is time-dependent and highly nonlinear, especially in the Loess Plateau region in Northwestern China. As a consequence, and mainly in building agglomerations, the structures can be damaged severely during or after underground extraction, with risks to human life. In this paper, we propose an approach based on a combination of a differential interferometric synthetic aperture radar (DInSAR) technique and a support vector machine …
Assessing the vulnerability of urban rail transit network under heavy air pollution
Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour
Public acceptance of autonomous vehicles (AVs) is vital for a society to reap their intended benefits such as reduced traffic accidents, land usage, congestion and environmental pollution. The purpose of this paper is to use the theory of planned behaviour to pinpoint and examine the components affecting public acceptance of AVs. A model consisting of a network of hypothesised relationships is introduced. Thereafter, 526 residents in Seoul, Korea…
Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network
In various applications of airborne laser scanning (ALS), the classification of the point cloud is a basic and key step. It requires assigning category labels to each point, such as ground, building or vegetation. Convolutional neural networks have achieved great success in image classification and semantic segmentation, but they cannot be directly applied to point cloud classification because of the disordered and unstructured characteristics of…
Causal Factors of Low Achievement in EFL Development
A large number of university students have poor performance in English language learning in mainland China. It is important to learn the cause of this phenomenon in order to give the learners effective intervention. The current study clarifies two terminologies, i.e., underachievement and low achievement. The phenomenon of low achievement is investigated with the tools of interview, questionnaire survey and classroom observation. Among the many p…
Libs and FTIR–ATR spectroscopy studies of mineral–organic associations in saline soil
Direct characterization of the spatial distribution of elements and compound binding of salt–organic associations in soil is imperative for understanding the mechanisms of organic matter decomposition and nutrient release involved in soil degradation and development processes. However, traditional chemical methods would damage the chemical bonds in salt–organic associations, and modern spectroscopic techniques provide alternative options for reso…
A study on the cross level transformation from individual creativity to organizational creativity
Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments
As concerns around climate change and global warming intensify, extreme weather events such as heavy rain, blizzards, and smog-induced haze have greatly impacted the commuting travel mode selection of urban residents. Such behavioral shifts have in turn led to changes of the carbon emissions generated from these residents. This paper constructs a “extreme weather ( W)–travel behavior ( B)–carbon emissions ( C)” research framework. Using a multipl…
Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network
The promotion of information flow reinforces the interactive cooperation and evolutionary process among cities. In the information age, public online search is a typical behavior of Internet society, which is the key to information flow generation and agglomeration. In this study, we attempt to explore the evolutionary characteristics of intercity networks driven by public online social behavior in the information age and construct an information…
A theoretical investigation of user acceptance of autonomous public transport
Projecting trends in the disease burden of adult edentulism in China between 2020 and 2030
Purpose: This study was based on the Global Burden of Disease (GBD) database and aimed to analyze the trend of disease burden for complete edentulism in Chinese adults between 1990 and 2030, and to provide valuable information for the development of more effective management and preventive measures. Methods: Data on Chinese adults with complete edentulism from 1990 to 2019 was analyzed using GHDx data. Descriptive analyses were used to analyze ch…
Bivariate extreme value analysis of extreme temperature and mortality in Canada, 2000-2020
Climate change increases the risk of illness through rising temperature, severe precipitation and worst air pollution. This paper investigates how monthly excess mortality rate is associated with the increasing frequency and severity of extreme temperature in Canada during 2000-2020. The extreme associations were compared among four age groups across five sub-blocks of Canada based on the datasets of monthly T90 and T10, the two most representati…
Association between volatile organic compounds exposure and cardiometabolic function
Background: The Cardiometabolic Index (CMI) is a new metric used to assess an individual's cardiovascular and metabolic status. Volatile Organic Compounds (VOCs) are common environmental pollutants associated with cardiovascular diseases and lipid metabolism disorders. This study aims to investigate the relationship between VOC exposure and CMI. Methods: Data from NHANES (2011-2020) were used to assess the impact of VOC exposure on cardiometaboli…
Unraveling the link between physical activity and cognitive function
Greater engagement in physical activity is associated with better cognitive function, and this association is partially mediated by depressive symptoms. These findings underscore the importance of promoting physical activity to support cognitive health in older adults, with particular attention to its potential role in mitigating depressive symptoms
A study of the perception and attitude of Chinese users to media content created by generative AI
The rapid growth of technology has always been the main driving force behind media development and a key element contributing to profound changes in China's media industry. The rapid development of generative artificial intelligence has allowed the media to overcome the shortage of labor and time, which has led to dramatic increases in productivity and creativity, as well as profound transformations in the production of media content in favor of …
Computer Science (10 works) · Geography (7 works) · China (5 works) · Engineering (5 works) · Environmental Science (5 works) · Psychology (5 works) · Transport engineering (5 works) · Air Quality and Health Impacts (4 works) · Economics (4 works) · Environmental health (4 works)