Hai Liu
Dados Biográficos
| ID | 5676609 |
|---|---|
| NOME | Hai Liu |
| PRENOMES | Hai |
| SOBRENOME | Liu |
| ASSINATURA | LIU H |
| AFILIAÇÕES | Zhengzhou University |
| ORCID | 0000-0001-6452-3343 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Not All Received Peer Feedback Is Equal
Bioaerosol multi-pollutant source localization in urban microclimates using an improved particle swarm optimization method with restricted search capabilities
The relationship between internet addiction and help-seeking behavior for online privacy infringement
Owing to the advent of the digital era, online privacy security faces severe challenges. As a high-risk group, individuals with internet addiction and their help-seeking behaviors for online privacy infringement have not been sufficiently studied. To address this gap, this study utilizes survey data from 7904 respondents among university students (estimated age range: 18-30) across 25 provinces and municipalities in China to explore the relations…
Exploring peer facilitation and critical thinking in asynchronous online discussions
Asynchronous online discussions (AODs) are increasingly prevalent in higher education to adapt to educational changes and promote critical thinking among learners. Past research has emphasized instructors' facilitation roles in encouraging learners' critical thinking in AODs, while fewer studies explored peer facilitation and peer participants' critical thinking from the students' perspective as facilitators. This study used a lag sequential anal…
Enhancing university athletes’ physical activity and decision-making through educational interventions grounded in the theory of planned behavior
This study highlights the effectiveness of educational interventions in enhancing key determinants of planned behavior and promoting physical activity among university athletes. By establishing a direct link between TPB-based training and measurable improvements in decision-making and behavioral outcomes, the study provides actionable insights for coaches, educators, and sports psychologists seeking to foster more autonomous, health-conscious, an…
Efficient on-device damage segmentation for cultural heritage using pruning and knowledge distillation
A lightweight model combining the Ghost module and LAMP pruning is proposed. • A knowledge distillation method is applied to enhance segmentation accuracy. • A dataset including seven damage types in CH buildings is established. • High segmentation accuracy is demonstrated in two CH building case studies. • The proposed model is successfully deployed on an Android device. Cultural heritage (CH) buildings may suffer damage due to aging, and comput…
Performance motivation and emotion regulation as drivers of academic competence and problem‐solving skills in AI‐enhanced preschool education
The swift adoption of artificial intelligence (AI) in preschool education has sparked widespread interest, with emerging evidence suggesting that tools powered by AI can significantly improve early learning experiences by personalising instruction and supporting cognitive growth. Despite these advancements, the interplay between psychological factors (e.g., performance motivation and emotion regulation) and crucial educational outcomes (e.g., aca…
From engagement to performance
Online learning democratizes and provides flexibility in accessing education, but it also places greater demands on students’ self-regulated learning strategies. Previous studies have explored the important impact of effort regulation on academic performance. However, there remains more to explore on the dynamics of effort regulation among undergraduates and their group differences. This study investigates how the effort regulation of the learnin…
A structural model of EFL teachers’ physical activity, emotion regulation, and competence for online teaching
The study highlights the need for targeted interventions aimed at supporting EFL teachers' well-being and professional development, with implications for educational policies, teacher training programs, and institutional support structures in the digital learning landscape
Identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments
The successful application of the e-learning system is of great significance to the implementation, management and continuous improvement of blended learning in higher education. Hence, we focused on identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments. In this study, the Unified Technology Acceptance and System Success (UTASS) model was proposed, a method integrating sel…
Bi-Directional Pollution Characteristics and Ecological Health Risk Assessment of Heavy Metals in Soil and Crops in Wanjiang Economic Zone, Anhui Province, China
Understanding the extent of contamination, sources and various carcinogenic and non-carcinogenic risks associated with different heavy metals in soil-crop systems is crucial for the prevention of heavy metal pollution. A survey was undertaken to determine heavy metal concentrations and degree of pollution in soil-crop systems (rice, wheat, and corn) using various indices such as pollution factor ( CF ), geo-accumulation index ( I geo ), enrichmen…
Assessment of the Ecological Compensation Standards for Cross-Basin Water Diversion Projects from the Perspective of Main Headwater and Receiver Areas
This paper aims to explore how to develop reasonable ecological compensation standards to improve the effectiveness of water diversion projects. Watershed ecological compensation is an important means to coordinate watershed protection and development and, additionally, compensation standard accounting is the core issue of ecological compensation. The previous literature has mainly calculated watershed ecological compensation standards from a sin…
Spatial Distribution, Ecological Risk Assessment and Source Analysis of Heavy Metals Pollution in Urban Lake Sediments of Huaihe River Basin
Heavy metals in freshwater lake sediments often exist in various chemical forms. However, the investigation and evaluation of heavy-metal elements in the sediments of the study area have not been reported, and there is a lack of objective understanding of the concentration level of heavy-metal elements. Therefore, this study is the first to report the concentrations, sources, and potential ecological risks of heavy metals in the sediments of Chen…
Deep Representation Learning for Location-Based Recommendation
Location-based recommendation has recently received a lot of attention in the communities of information service and mobile application. Its task is to provide personalized recommendations of points of interest (POIs) to users at a certain time and location. However, existing location-based recommendation models have at least two main drawbacks: first they cannot adequately capture semantic features of POIs and users, which may lead to unsatisfac…
Comprehensive Evaluation of Caregiver-Reported Antiretroviral Therapy Adherence for HIV-Infected Children
Performance motivation and emotion regulation as drivers of academic competence and problem‐solving skills in AI‐enhanced preschool education
The swift adoption of artificial intelligence (AI) in preschool education has sparked widespread interest, with emerging evidence suggesting that tools powered by AI can significantly improve early learning experiences by personalising instruction and supporting cognitive growth. Despite these advancements, the interplay between psychological factors (e.g., performance motivation and emotion regulation) and crucial educational outcomes (e.g., aca…
Comprehensive Evaluation of Caregiver-Reported Antiretroviral Therapy Adherence for HIV-Infected Children
Deep Representation Learning for Location-Based Recommendation
Location-based recommendation has recently received a lot of attention in the communities of information service and mobile application. Its task is to provide personalized recommendations of points of interest (POIs) to users at a certain time and location. However, existing location-based recommendation models have at least two main drawbacks: first they cannot adequately capture semantic features of POIs and users, which may lead to unsatisfac…
Identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments
The successful application of the e-learning system is of great significance to the implementation, management and continuous improvement of blended learning in higher education. Hence, we focused on identifying key factors affecting college students’ adoption of the e-learning system in mandatory blended learning environments. In this study, the Unified Technology Acceptance and System Success (UTASS) model was proposed, a method integrating sel…
Bi-Directional Pollution Characteristics and Ecological Health Risk Assessment of Heavy Metals in Soil and Crops in Wanjiang Economic Zone, Anhui Province, China
Understanding the extent of contamination, sources and various carcinogenic and non-carcinogenic risks associated with different heavy metals in soil-crop systems is crucial for the prevention of heavy metal pollution. A survey was undertaken to determine heavy metal concentrations and degree of pollution in soil-crop systems (rice, wheat, and corn) using various indices such as pollution factor ( CF ), geo-accumulation index ( I geo ), enrichmen…
Assessment of the Ecological Compensation Standards for Cross-Basin Water Diversion Projects from the Perspective of Main Headwater and Receiver Areas
This paper aims to explore how to develop reasonable ecological compensation standards to improve the effectiveness of water diversion projects. Watershed ecological compensation is an important means to coordinate watershed protection and development and, additionally, compensation standard accounting is the core issue of ecological compensation. The previous literature has mainly calculated watershed ecological compensation standards from a sin…
Spatial Distribution, Ecological Risk Assessment and Source Analysis of Heavy Metals Pollution in Urban Lake Sediments of Huaihe River Basin
Heavy metals in freshwater lake sediments often exist in various chemical forms. However, the investigation and evaluation of heavy-metal elements in the sediments of the study area have not been reported, and there is a lack of objective understanding of the concentration level of heavy-metal elements. Therefore, this study is the first to report the concentrations, sources, and potential ecological risks of heavy metals in the sediments of Chen…
From engagement to performance
Online learning democratizes and provides flexibility in accessing education, but it also places greater demands on students’ self-regulated learning strategies. Previous studies have explored the important impact of effort regulation on academic performance. However, there remains more to explore on the dynamics of effort regulation among undergraduates and their group differences. This study investigates how the effort regulation of the learnin…
A structural model of EFL teachers’ physical activity, emotion regulation, and competence for online teaching
The study highlights the need for targeted interventions aimed at supporting EFL teachers' well-being and professional development, with implications for educational policies, teacher training programs, and institutional support structures in the digital learning landscape
Exploring peer facilitation and critical thinking in asynchronous online discussions
Asynchronous online discussions (AODs) are increasingly prevalent in higher education to adapt to educational changes and promote critical thinking among learners. Past research has emphasized instructors' facilitation roles in encouraging learners' critical thinking in AODs, while fewer studies explored peer facilitation and peer participants' critical thinking from the students' perspective as facilitators. This study used a lag sequential anal…
Enhancing university athletes’ physical activity and decision-making through educational interventions grounded in the theory of planned behavior
This study highlights the effectiveness of educational interventions in enhancing key determinants of planned behavior and promoting physical activity among university athletes. By establishing a direct link between TPB-based training and measurable improvements in decision-making and behavioral outcomes, the study provides actionable insights for coaches, educators, and sports psychologists seeking to foster more autonomous, health-conscious, an…
Efficient on-device damage segmentation for cultural heritage using pruning and knowledge distillation
A lightweight model combining the Ghost module and LAMP pruning is proposed. • A knowledge distillation method is applied to enhance segmentation accuracy. • A dataset including seven damage types in CH buildings is established. • High segmentation accuracy is demonstrated in two CH building case studies. • The proposed model is successfully deployed on an Android device. Cultural heritage (CH) buildings may suffer damage due to aging, and comput…
Performance motivation and emotion regulation as drivers of academic competence and problem‐solving skills in AI‐enhanced preschool education
The swift adoption of artificial intelligence (AI) in preschool education has sparked widespread interest, with emerging evidence suggesting that tools powered by AI can significantly improve early learning experiences by personalising instruction and supporting cognitive growth. Despite these advancements, the interplay between psychological factors (e.g., performance motivation and emotion regulation) and crucial educational outcomes (e.g., aca…
Not All Received Peer Feedback Is Equal
Bioaerosol multi-pollutant source localization in urban microclimates using an improved particle swarm optimization method with restricted search capabilities
The relationship between internet addiction and help-seeking behavior for online privacy infringement
Owing to the advent of the digital era, online privacy security faces severe challenges. As a high-risk group, individuals with internet addiction and their help-seeking behaviors for online privacy infringement have not been sufficiently studied. To address this gap, this study utilizes survey data from 7904 respondents among university students (estimated age range: 18-30) across 25 provinces and municipalities in China to explore the relations…
Mathematics education (5 obras) · Psychology (5 obras) · Computer Science (4 obras) · Ecology (3 obras) · Environmental Science (3 obras) · Innovative Teaching and Learning Methods (3 obras) · Online and Blended Learning (3 obras) · Chemistry (2 obras) · Educational technology (2 obras) · Environmental Chemistry (2 obras)