Liu Jia
Biographic Data
| ID | 8582311 |
|---|---|
| NAME | Liu Jia |
| GIVEN NAMES | Liu |
| FAMILY NAME | Jia |
| SIGNATURE | JIA L |
| AFFILIATIONS | Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China |
| ORCID | 0009-0006-2698-6543 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 23 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Short-term mindfulness intervention mitigates mental fatigue effects on basketball technical performance
Resilient leadership in female principals
The educational transformation in China has introduced unprecedented complexity and uncertainty into school organizations, presenting unique challenges and opportunities for educational leadership. This qualitative study single-case study explores the antecedents and development of resilient leadership by examining the case of a female vice-principal at a higher vocational college, utilizing three in-depth interviews supplemented by a 2-months pe…
Demand-side factors as dominant drivers of resource efficiency in the concrete aggregates cycle
Do brief mindfulness-based interventions improve sport-related performance? A systematic review
Background: Mindfulness-based interventions (MBIs) are psychological skills training approaches that are well recognized for enhancing psychological factors that influence sports performance. However, some factors, such as time commitment, cost, and accessibility required for traditional MBIs, can be a barrier to regular practice. As a result, brief MBIs with a duration of ≤ 30 min have gained popularity. This systematic review aims to explore th…
Generative AI for Academic Purposes
This study explores Chinese and Malaysian university students’ perceptions of generative AI (GenAI) tools for academics, with a focus on their knowledge, willingness to use, and concerns. A quantitative, cross-sectional survey design was employed, and data were collected from 400 students through a structured online questionnaire. Both groups demonstrated high awareness of GenAI, with cultural differences shaping their perceptions. Knowledge is p…
Construction of a prediction model for sarcopenic obesity based on machine learning
Background: In the context of the rapidly aging global population, sarcopenic obesity (SO) in older adults is associated with significantly higher rates of disability and mortality. SO has become a serious and critical public health concern. This study aimed to develop and validate predictive models using machine learning (ML) to identify SO in patients. Methods: Data from 386 participants collected at the Affiliated Hospital of Qingdao Universit…
Explainable Artificial Intelligence (XAI) framework using XGBoost and SHAP for assessing urban fire risk based on spatial distribution features
Examining the Impact of Mindfulness on Academic Emotions and Cognitive Flexibility among Undergraduates in Chinese Higher Education
This study examined the impact of mindfulness on academic emotions (AE) and cognitive flexibility (CF) among undergraduate Chinese students. Data was collected from 403 participants using three validated instruments: the Mindful Attention Awareness Scale (MAAS), the shortened Academic Emotions Questionnaire (AEQ-S), and the Cognitive Flexibility Scale (CFS). Descriptive statistics were analysed using SPSS, and path analysis was conducted using SM…
Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students
This research tackles the challenges Ph.D. students face in academic publishing, which are not fully addressed by existing support systems. It introduces the personal learning environment-based writing for publication (PLE-WfP) platform, created to offer extensive support in academic writing and publication. Developed and tested over ten months with thirteen Year 1 Ph.D. Chinese students at a Thai university, the platform uses a mixed-methods app…
Coupling coordination degree and influencing factors of forestry modernization and high quality economic development
Introduction: Forestry modernization (FM) and High quality economic development (HED) are two major goals that must be achieved in the process of economic development from low to high, and they are closely related to each other in their respective internal development mechanisms. Methods: Based on the analysis of the coupling coordination mechanism between FM and HED, this paper empirically studies the coupling coordination degree and influencing…
Spatial Pattern and Influencing Factors of Tourist Attractions in Coastal Cities
The spatial distribution of tourist attractions plays a critical role in the development of coastal cities. Qingdao, with its coastal geography, rich cultural heritage, and rapid urbanization, serves as a representative case. This study integrates POI and multi-source data, employing methods such as the average nearest neighbor index, kernel density estimation, standard deviational ellipse, and Geodetector to analyze the spatial characteristics a…
Out of Shadow
In Malaysian literature, few contemporary writers have emerged as prominently and poignantly as Tan Twan Eng. His works not only explore the complexities of cultural identity, shed light on the historical, social, and political realities of the Chinese Malaysian experience, but also incorporate postcolonial ecocritical perspectives and elements of cross-cultural fusion. Through his narratives, he offers a unique perspective that resonates with re…
Physical discomforts, feeling of the high work intensity and the related risk factors of the frontline medical staff during Covid-19 epidemic
Background Facing the unknown virus, COVID-19 medical staff kept wearing thick personal protective equipment during their work in the early stage of the outbreak. The survey was designed to investigate the physical discomforts, the feeling of the work intensity and the related risk factors of the frontline medical staff during COVID-19 epidemic in the early outbreak. Methods An national survey was carried out in China from March 17th 2020 to Marc…
Agricultural insurance and rural revitalization—an empirical analysis based on China’s provincial panel data
Agricultural insurance is a kind of compensation insurance designed to provide protection for the economic losses caused by insured accidents suffered by agricultural producers in agricultural production. Rural revitalization refers to the strategy of improving the level of rural economic, social and cultural development and achieving coordinated and sustainable development of urban and rural development. Agricultural insurance can effectively di…
Reported human infections of H9N2 avian influenza virus in China in 2021
Introduction: The continued emergence of human infections of H9N2 avian influenza virus (AIV) poses a serious threat to public health. The prevalent Y280/G9 lineage of H9N2 AIV in Chinese poultry can directly bind to human receptors, increasing the risk of spillover infections to humans. Since 2013, the number of human cases of H9N2 avian influenza has been increasing continuously, and in 2021, China reported the highest number of human cases, at…
Cultural competence education for undergraduate medical students
The COVID-19 pandemic and the escalation of the Black Lives Matter Movement worldwide have foregrounded the long-standing inequality in society and healthcare. The provision of culturally competent care has become more necessary than at any other time. However, cultural competence (CC) education remains inconsistent across medical schools, and little is known about how students develop their CC through campus-based classroom teaching. We took an …
Relationship between behavioral inhibition/activation system and Internet addiction among Chinese college students
Background: Internet addiction is a global public health issue among college students that is associated with a range of negative outcomes. Especially the COVID-19 pandemic has forced them to shift most of their studies and life activities from offline to online, leading to a growing problem of Internet dependence and even Internet addiction. Although previous studies have indicated that the Behavioral Inhibition/Activation System (BIS/BAS) have …
Social Support and Depressive Symptoms Among Adolescents During the Covid-19 Pandemic
Identifying which factors influence depressive symptom during the COVID-19 pandemic is highly significant for psychological crisis interventions among adolescents. Social support is likely to be one of the main factors. However, the underlying mechanism is still not well understood in the context of COVID-19. The current study examines whether loneliness and meaning in life mediate the association between social support and depressive symptoms in…
Equity in maternal and child health care utilization in Guangdong province of China 2009–2019
Background Equity is the principal challenge of maternal and child health care (MCH) across the world, especially in China. Existing researches focused on equity in MCH resources and outcomes. There is an evidence gap regarding equity of MCH services utilization, revealing the black box between equity in MCH resources and MCH outcomes. In the study, we evaluate the changes of equity in integrated MCH service utilization in Guangdong province of C…
Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms
Background: Lumbar drainage is widely used in the clinic; however, forecasting lumbar drainage-related meningitis (LDRM) is limited. We aimed to establish prediction models using supervised machine learning (ML) algorithms. Methods: We utilized a cohort of 273 eligible lumbar drainage cases. Data were preprocessed and split into training and testing sets. Optimal hyper-parameters were archived by 10-fold cross-validation and grid search. The supp…
Cost-utility analysis of lurasidone for the first-line treatment of schizophrenia in China
Objective: To evaluate the cost-effectiveness of lurasidone compared with olanzapine and risperidone in the first-line treatment of patients with schizophrenia from a Chinese healthcare system perspective. Methods: A Markov model with 6-week cycle was constructed to reflect the disease progression of schizophrenia patients in the acute and maintenance phase. Probabilities of treatment discontinuation and adverse events in the acute phase were der…
Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of labeling cloud and snow areas using deep learning technology has been gradually developed to improve the accuracy and efficiency of recognition. In this paper, from the perspective of designing a…
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
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Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
Cultural competence education for undergraduate medical students
The COVID-19 pandemic and the escalation of the Black Lives Matter Movement worldwide have foregrounded the long-standing inequality in society and healthcare. The provision of culturally competent care has become more necessary than at any other time. However, cultural competence (CC) education remains inconsistent across medical schools, and little is known about how students develop their CC through campus-based classroom teaching. We took an …
Relationship between behavioral inhibition/activation system and Internet addiction among Chinese college students
Background: Internet addiction is a global public health issue among college students that is associated with a range of negative outcomes. Especially the COVID-19 pandemic has forced them to shift most of their studies and life activities from offline to online, leading to a growing problem of Internet dependence and even Internet addiction. Although previous studies have indicated that the Behavioral Inhibition/Activation System (BIS/BAS) have …
Social Support and Depressive Symptoms Among Adolescents During the Covid-19 Pandemic
Identifying which factors influence depressive symptom during the COVID-19 pandemic is highly significant for psychological crisis interventions among adolescents. Social support is likely to be one of the main factors. However, the underlying mechanism is still not well understood in the context of COVID-19. The current study examines whether loneliness and meaning in life mediate the association between social support and depressive symptoms in…
Equity in maternal and child health care utilization in Guangdong province of China 2009–2019
Background Equity is the principal challenge of maternal and child health care (MCH) across the world, especially in China. Existing researches focused on equity in MCH resources and outcomes. There is an evidence gap regarding equity of MCH services utilization, revealing the black box between equity in MCH resources and MCH outcomes. In the study, we evaluate the changes of equity in integrated MCH service utilization in Guangdong province of C…
Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms
Background: Lumbar drainage is widely used in the clinic; however, forecasting lumbar drainage-related meningitis (LDRM) is limited. We aimed to establish prediction models using supervised machine learning (ML) algorithms. Methods: We utilized a cohort of 273 eligible lumbar drainage cases. Data were preprocessed and split into training and testing sets. Optimal hyper-parameters were archived by 10-fold cross-validation and grid search. The supp…
Cost-utility analysis of lurasidone for the first-line treatment of schizophrenia in China
Objective: To evaluate the cost-effectiveness of lurasidone compared with olanzapine and risperidone in the first-line treatment of patients with schizophrenia from a Chinese healthcare system perspective. Methods: A Markov model with 6-week cycle was constructed to reflect the disease progression of schizophrenia patients in the acute and maintenance phase. Probabilities of treatment discontinuation and adverse events in the acute phase were der…
Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of labeling cloud and snow areas using deep learning technology has been gradually developed to improve the accuracy and efficiency of recognition. In this paper, from the perspective of designing a…
Physical discomforts, feeling of the high work intensity and the related risk factors of the frontline medical staff during Covid-19 epidemic
Background Facing the unknown virus, COVID-19 medical staff kept wearing thick personal protective equipment during their work in the early stage of the outbreak. The survey was designed to investigate the physical discomforts, the feeling of the work intensity and the related risk factors of the frontline medical staff during COVID-19 epidemic in the early outbreak. Methods An national survey was carried out in China from March 17th 2020 to Marc…
Agricultural insurance and rural revitalization—an empirical analysis based on China’s provincial panel data
Agricultural insurance is a kind of compensation insurance designed to provide protection for the economic losses caused by insured accidents suffered by agricultural producers in agricultural production. Rural revitalization refers to the strategy of improving the level of rural economic, social and cultural development and achieving coordinated and sustainable development of urban and rural development. Agricultural insurance can effectively di…
Reported human infections of H9N2 avian influenza virus in China in 2021
Introduction: The continued emergence of human infections of H9N2 avian influenza virus (AIV) poses a serious threat to public health. The prevalent Y280/G9 lineage of H9N2 AIV in Chinese poultry can directly bind to human receptors, increasing the risk of spillover infections to humans. Since 2013, the number of human cases of H9N2 avian influenza has been increasing continuously, and in 2021, China reported the highest number of human cases, at…
Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students
This research tackles the challenges Ph.D. students face in academic publishing, which are not fully addressed by existing support systems. It introduces the personal learning environment-based writing for publication (PLE-WfP) platform, created to offer extensive support in academic writing and publication. Developed and tested over ten months with thirteen Year 1 Ph.D. Chinese students at a Thai university, the platform uses a mixed-methods app…
Coupling coordination degree and influencing factors of forestry modernization and high quality economic development
Introduction: Forestry modernization (FM) and High quality economic development (HED) are two major goals that must be achieved in the process of economic development from low to high, and they are closely related to each other in their respective internal development mechanisms. Methods: Based on the analysis of the coupling coordination mechanism between FM and HED, this paper empirically studies the coupling coordination degree and influencing…
Spatial Pattern and Influencing Factors of Tourist Attractions in Coastal Cities
The spatial distribution of tourist attractions plays a critical role in the development of coastal cities. Qingdao, with its coastal geography, rich cultural heritage, and rapid urbanization, serves as a representative case. This study integrates POI and multi-source data, employing methods such as the average nearest neighbor index, kernel density estimation, standard deviational ellipse, and Geodetector to analyze the spatial characteristics a…
Out of Shadow
In Malaysian literature, few contemporary writers have emerged as prominently and poignantly as Tan Twan Eng. His works not only explore the complexities of cultural identity, shed light on the historical, social, and political realities of the Chinese Malaysian experience, but also incorporate postcolonial ecocritical perspectives and elements of cross-cultural fusion. Through his narratives, he offers a unique perspective that resonates with re…
Construction of a prediction model for sarcopenic obesity based on machine learning
Background: In the context of the rapidly aging global population, sarcopenic obesity (SO) in older adults is associated with significantly higher rates of disability and mortality. SO has become a serious and critical public health concern. This study aimed to develop and validate predictive models using machine learning (ML) to identify SO in patients. Methods: Data from 386 participants collected at the Affiliated Hospital of Qingdao Universit…
Explainable Artificial Intelligence (XAI) framework using XGBoost and SHAP for assessing urban fire risk based on spatial distribution features
Examining the Impact of Mindfulness on Academic Emotions and Cognitive Flexibility among Undergraduates in Chinese Higher Education
This study examined the impact of mindfulness on academic emotions (AE) and cognitive flexibility (CF) among undergraduate Chinese students. Data was collected from 403 participants using three validated instruments: the Mindful Attention Awareness Scale (MAAS), the shortened Academic Emotions Questionnaire (AEQ-S), and the Cognitive Flexibility Scale (CFS). Descriptive statistics were analysed using SPSS, and path analysis was conducted using SM…
Short-term mindfulness intervention mitigates mental fatigue effects on basketball technical performance
Resilient leadership in female principals
The educational transformation in China has introduced unprecedented complexity and uncertainty into school organizations, presenting unique challenges and opportunities for educational leadership. This qualitative study single-case study explores the antecedents and development of resilient leadership by examining the case of a female vice-principal at a higher vocational college, utilizing three in-depth interviews supplemented by a 2-months pe…
Demand-side factors as dominant drivers of resource efficiency in the concrete aggregates cycle
Do brief mindfulness-based interventions improve sport-related performance? A systematic review
Background: Mindfulness-based interventions (MBIs) are psychological skills training approaches that are well recognized for enhancing psychological factors that influence sports performance. However, some factors, such as time commitment, cost, and accessibility required for traditional MBIs, can be a barrier to regular practice. As a result, brief MBIs with a duration of ≤ 30 min have gained popularity. This systematic review aims to explore th…
Generative AI for Academic Purposes
This study explores Chinese and Malaysian university students’ perceptions of generative AI (GenAI) tools for academics, with a focus on their knowledge, willingness to use, and concerns. A quantitative, cross-sectional survey design was employed, and data were collected from 400 students through a structured online questionnaire. Both groups demonstrated high awareness of GenAI, with cultural differences shaping their perceptions. Knowledge is p…
Computer Science (8 works) · Medicine (8 works) · Geography (7 works) · Psychology (7 works) · Artificial Intelligence (5 works) · China (5 works) · Clinical Psychology (4 works) · Economic growth (4 works) · Mathematics (4 works) · Psychiatry (4 works)