Tao Wen
Biographic Data
| ID | 3749173 |
|---|---|
| NAME | Tao Wen |
| GIVEN NAMES | Tao |
| FAMILY NAME | Wen |
| SIGNATURE | WEN T |
| AFFILIATIONS | Southwest University |
| ORCID | 0000-0003-0675-0163 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Implementing peer-assisted learning in a dental flipped classroom
OBJECTIVE: This study focuses on the application of the flipped classroom combined with postgraduate-undergraduate collaboration (FC-PUC) teaching model in stomatological education. It aims to evaluate the impact of this integrated model on undergraduate students' clinical operational competence, critical thinking, and learning satisfaction in stomatology courses. METHODS: A mixed-methods research approach was adopted. A total of 120 undergraduat…
Investigating the mediating role of comprehensive self-efficacy in the relationship between altruistic factors and voluntary non-remunerated blood donation behavior
Objective: To investigate the relationship between altruistic factors and voluntary non-remunerated blood donation behavior, and to examine the potential mediating role of comprehensive self-efficacy in this relationship. Methods: A cross-sectional survey was conducted from June 2023 to April 2024 in Zhengzhou and Xinxiang, Henan Province, China. Using stratified random sampling, 9,622 residents aged 18-60 years were recruited. Data were collecte…
Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks
The past decade has seen a rapid and vast adoption of social media globally and over sixty percent of people were connected online through various social media platforms as of the start of 2024. Despite many advantages social media offers, one of the most significant challenges is the rapid rise of fake news and AI-generated deepfakes across these social networks. The spread of fake news and deepfakes can lead to a series of negative impacts, suc…
Unraveling the anisotropic pattern of track uncertainty in tropical cyclones
The position uncertainty of tropical cyclones (TCs) may stretch along specific directions, yet the global pattern of the dominant direction of uncertainty remains unclear. This study proposes an analogue ensemble algorithm based on historical best-track data to quantify TC track uncertainties in the along-track (AT) and cross-track (CT) directions. The results reveal a strong latitudinal variation in the dominant direction of uncertainty: AT unce…
Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode
Intense tropical cyclones (TCs) in the southeastern western North Pacific (SE-WNP) significantly impact East Asian coastal nations. Decadal variability in TC genesis frequency (TCGF) has been linked to the Pacific decadal oscillation (PDO), a major sea surface temperature (SST) pattern in the North Pacific. However, based on extended observation records, we show that the decadal variability of SE-WNP TCGF is mainly driven by the Victoria mode (VM…
Effects of eight-week resistance and complex training on the biomechanical characteristics of lower limbs during badminton backhand forward lunge
Both training interventions enhanced the performance of the backhand forward lunge. Complex training resulted in greater improvements in execution efficiency, while resistance training not only improved efficiency but also demonstrated potential for reducing knee and ankle injury risk
Towards sustainable rural development
This study explored the spatial correlation network of China’s rural digitalization development. The findings indicate that the spatial correlation network exhibited a relatively loose structure with a notable core-periphery characteristic, and can be partitioned into the main inflow block, the main outflow block, the bidirectional spillover block, and the agent block. Technical innovation, human capital, transportation facilities, and industrial…
Knowledge, attitudes, and practices regarding Covid-19 and mental health status among college students in China
Background: During the prevalence of coronavirus disease 2019 (COVID-19), little was known about the knowledge, attitudes, practices (KAP) about COVID-19 and psychological status of college students in minority areas. This study aimed to evaluate the KAP of college students in minority areas of China toward COVID-19 and to provide a scientific basis for health education and policy formulation. Methods: From October 28th to November 6th, 2021, a c…
Using fuzzy cognitive maps to develop policy strategies for the development of green rural housing
Investigation into microbial contamination in microapartments in a coastal city
Environmental risks and opportunities of orphaned oil and gas wells in the United States
Hundreds of thousands of documented and undocumented orphaned oil and gas wells exist in the United States (U.S.). These wells have the potential to contaminate water supplies, degrade ecosystems, and emit methane and other air pollutants. Thus, orphaned wells present risks to climate stability and to environmental and human health, which can be reduced by plugging. To quantify environmental risks and opportunities of well plugging at the nationa…
Modelling interrelationships between barriers to adopting green building technologies in China's rural housing via grey-Dematel
Automatic Covid-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
COVID-19 and pneumonia detection using medical images is a topic of immense interest in medical and healthcare research. Various advanced medical imaging and machine learning techniques have been presented to detect these respiratory disorders accurately. In this work, we have proposed a novel COVID-19 detection system using an exemplar and hybrid fused deep feature generator with X-ray images. The proposed Exemplar COVID-19FclNet9 comprises thre…
Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique
Data-driven models have been extensively employed in landslide displacement prediction. However, predictive uncertainty, which consists of input uncertainty, parameter uncertainty, and model uncertainty, is usually disregarded in deterministic data-driven modeling, and point estimates are separately presented. In this study, a probability-scheme combination ensemble prediction that employs quantile regression neural networks and kernel density es…
Exploring the determinants of residential satisfaction in public rental housing in China
Qingchangligan formula attenuates the inflammatory response to protect the liver from acute failure induced by d -galactosamine/lipopolysaccharide in mice
Our findings demonstrated that the Qingchangligan formula exerts a protective effect against the pathophysiology of ALF, especially in regulating liver inflammation, and provide a rationale for using the Qingchangligan formula as a potential therapeutic strategy to ameliorate ALF
Qingchangligan formula attenuates the inflammatory response to protect the liver from acute failure induced by d -galactosamine/lipopolysaccharide in mice
Our findings demonstrated that the Qingchangligan formula exerts a protective effect against the pathophysiology of ALF, especially in regulating liver inflammation, and provide a rationale for using the Qingchangligan formula as a potential therapeutic strategy to ameliorate ALF
Exploring the determinants of residential satisfaction in public rental housing in China
Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique
Data-driven models have been extensively employed in landslide displacement prediction. However, predictive uncertainty, which consists of input uncertainty, parameter uncertainty, and model uncertainty, is usually disregarded in deterministic data-driven modeling, and point estimates are separately presented. In this study, a probability-scheme combination ensemble prediction that employs quantile regression neural networks and kernel density es…
Automatic Covid-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
COVID-19 and pneumonia detection using medical images is a topic of immense interest in medical and healthcare research. Various advanced medical imaging and machine learning techniques have been presented to detect these respiratory disorders accurately. In this work, we have proposed a novel COVID-19 detection system using an exemplar and hybrid fused deep feature generator with X-ray images. The proposed Exemplar COVID-19FclNet9 comprises thre…
Modelling interrelationships between barriers to adopting green building technologies in China's rural housing via grey-Dematel
Knowledge, attitudes, and practices regarding Covid-19 and mental health status among college students in China
Background: During the prevalence of coronavirus disease 2019 (COVID-19), little was known about the knowledge, attitudes, practices (KAP) about COVID-19 and psychological status of college students in minority areas. This study aimed to evaluate the KAP of college students in minority areas of China toward COVID-19 and to provide a scientific basis for health education and policy formulation. Methods: From October 28th to November 6th, 2021, a c…
Using fuzzy cognitive maps to develop policy strategies for the development of green rural housing
Investigation into microbial contamination in microapartments in a coastal city
Environmental risks and opportunities of orphaned oil and gas wells in the United States
Hundreds of thousands of documented and undocumented orphaned oil and gas wells exist in the United States (U.S.). These wells have the potential to contaminate water supplies, degrade ecosystems, and emit methane and other air pollutants. Thus, orphaned wells present risks to climate stability and to environmental and human health, which can be reduced by plugging. To quantify environmental risks and opportunities of well plugging at the nationa…
Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks
The past decade has seen a rapid and vast adoption of social media globally and over sixty percent of people were connected online through various social media platforms as of the start of 2024. Despite many advantages social media offers, one of the most significant challenges is the rapid rise of fake news and AI-generated deepfakes across these social networks. The spread of fake news and deepfakes can lead to a series of negative impacts, suc…
Unraveling the anisotropic pattern of track uncertainty in tropical cyclones
The position uncertainty of tropical cyclones (TCs) may stretch along specific directions, yet the global pattern of the dominant direction of uncertainty remains unclear. This study proposes an analogue ensemble algorithm based on historical best-track data to quantify TC track uncertainties in the along-track (AT) and cross-track (CT) directions. The results reveal a strong latitudinal variation in the dominant direction of uncertainty: AT unce…
Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode
Intense tropical cyclones (TCs) in the southeastern western North Pacific (SE-WNP) significantly impact East Asian coastal nations. Decadal variability in TC genesis frequency (TCGF) has been linked to the Pacific decadal oscillation (PDO), a major sea surface temperature (SST) pattern in the North Pacific. However, based on extended observation records, we show that the decadal variability of SE-WNP TCGF is mainly driven by the Victoria mode (VM…
Effects of eight-week resistance and complex training on the biomechanical characteristics of lower limbs during badminton backhand forward lunge
Both training interventions enhanced the performance of the backhand forward lunge. Complex training resulted in greater improvements in execution efficiency, while resistance training not only improved efficiency but also demonstrated potential for reducing knee and ankle injury risk
Towards sustainable rural development
This study explored the spatial correlation network of China’s rural digitalization development. The findings indicate that the spatial correlation network exhibited a relatively loose structure with a notable core-periphery characteristic, and can be partitioned into the main inflow block, the main outflow block, the bidirectional spillover block, and the agent block. Technical innovation, human capital, transportation facilities, and industrial…
Implementing peer-assisted learning in a dental flipped classroom
OBJECTIVE: This study focuses on the application of the flipped classroom combined with postgraduate-undergraduate collaboration (FC-PUC) teaching model in stomatological education. It aims to evaluate the impact of this integrated model on undergraduate students' clinical operational competence, critical thinking, and learning satisfaction in stomatology courses. METHODS: A mixed-methods research approach was adopted. A total of 120 undergraduat…
Investigating the mediating role of comprehensive self-efficacy in the relationship between altruistic factors and voluntary non-remunerated blood donation behavior
Objective: To investigate the relationship between altruistic factors and voluntary non-remunerated blood donation behavior, and to examine the potential mediating role of comprehensive self-efficacy in this relationship. Methods: A cross-sectional survey was conducted from June 2023 to April 2024 in Zhengzhou and Xinxiang, Henan Province, China. Using stratified random sampling, 9,622 residents aged 18-60 years were recruited. Data were collecte…
China (5 works) · Business (4 works) · Computer Science (4 works) · Economic growth (4 works) · Economics (4 works) · Medicine (4 works) · Environmental Science (3 works) · Geography (3 works) · Political science (3 works) · Artificial Intelligence (2 works)