Ming Ai
Biographic Data
| ID | 4721312 |
|---|---|
| NAME | Ming Ai |
| GIVEN NAMES | Ming |
| FAMILY NAME | Ai |
| SIGNATURE | AI M |
| AFFILIATIONS | The Affiliated Yongchuan Hospital of Chongqing Medical University |
| ORCID | 0000-0003-1725-3576 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 17 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Application of machine learning in predicting adolescent Internet behavioral addiction
The detection rate of Internet addiction is higher in males than in females, and adolescents with impulsive, extroverted, psychotic, neurotic, obsessive, depressive, and hostile traits are more prone to developing Internet addiction. While the overall performance of the machine learning models for predicting adolescent Internet addiction is moderate, the extreme gradient boosting method outperforms others, effectively identifying risk factors and…
Application of the “hospital-school-home-community” integrated mental health service model for primary and secondary school students in Chongqing, China
The "Hospital-School-Home-Community" integrated mental health service model has demonstrated success in improving child and youth mental health within the school setting in Chongqing. It has effectively linked education and health systems to address a full continuum of care
Exploring the profile and risk factors associated with self-harm ideation and behaviors in adolescents with high psychoticism
Our findings highlight the critical need for targeted interventions addressing modifiable determinants. Prioritizing female adolescents and those with higher psychoticism traits is recommended, supported by evidence-based family psychoeducation programs and enhanced accessibility of community mental health services with specific focus on emotion regulation training
The effects of parent-child relationship, study stress, and mobile phone use on depressive symptoms among Chinese elementary school students
These results emphasize the importance of nurturing parent-child relationship, monitoring study stress, and managing mobile phone usage to support students' mental health. Furthermore, the findings suggest that the impact of mobile phone usage on the mental health of elementary school students varies in complexity across different parent-child relationship contexts, providing valuable insights and recommendations for developing targeted preventiv…
Takeaway food consumption and depressive symptoms in Chinese university students
The study highlights the negative relationship between takeaway frequency and emotional well-being, emphasizing the need to focus on the emotional health of frequent takeaway food consumers. Moreover, our study suggests that increased physical activity may alleviate takeaway-induced mood-related outcomes
Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm
The detection rate of suicidal and self-injurious behaviors is higher in women than in men. Adolescents displaying impulsiveness, psychoticism, neuroticism, interpersonal sensitivity, depression, and paranoia have a greater likelihood of engaging in such behaviors. The machine learning model for classifying and predicting adolescent suicide and self-injury risk effectively identifies these behaviors, enabling targeted interventions
A propensity score matching study
Background The 2019 coronavirus disease (COVID-19) pandemic increased the risks of mental health challenges, especially anxiety and depression. However, the impact of COVID-19 on mental health during pregnancy has not been fully established. Therefore, we investigated the impact of the COVID-19 pandemic on maternal mental health. Methods Two cohorts of pregnant women at their first antenatal care in the First Affiliated Hospital of Chongqing Medi…
Severity related neuroanatomical and spontaneous functional activity alteration in adolescents with major depressive disorder
The abnormal structural and functional findings at cortico-subcortical areas implied the dysfunctional cognitive control and emotional regulations in adolescent depression. The findings might help elaborate the underlying neural mechanisms of MDD in adolescents
Attitudes Toward Psychiatry Among Medical Students With a Psychiatric Major at Chongqing Medical University
Students generally have good expectations toward psychiatry, but different opinions are also held and the field is still faced with various challenges in order to provide more psychiatrists
Changes in gray matter volume following electroconvulsive therapy in adolescent depression with suicidal ideation
Frontal-temporal-precuneus structure changes may be a potential cause of depressive and suicidal symptoms in adolescents. ECT may improve depressive and suicidal symptoms in adolescents by regulating brain structures to compensate original defects
A Resting State Functional Magnetic Resonance Imaging Study of Unmedicated Adolescents With Non-suicidal Self-Injury Behaviors
We found that in ALFF, fALFF and ReHo, the significant differences between nsMDDs and nnsMDDs are mainly located in default mode network (DMN) and visual network (VN), and there may be brain regions related to NSSI in DMN and VN. The significant differences brain regions in ALFF, fALFF and ReHo between nsMDDs and nnsMDDs were related to the total score of the relevant clinical psychological scale, and may be related to NSSI
The Association Between Resting State Functional Connectivity and the Trait of Impulsivity and Suicidal Ideation in Young Depressed Patients With Suicide Attempts
Suicide is a leading cause of death among youth and is strongly associated with major depressive disorder (MDD). However, the neurobiological underpinnings of suicidal behaviour and the identification of risk for suicide in young depressed patients are not yet well-understood. In this study, we used a seed-based correlation analysis to investigate the differences in resting-state functional connectivity (RSFC) in depressed youth with or without a…
Disruption of Neural Activity and Functional Connectivity in Adolescents With Major Depressive Disorder Who Engage in Non-suicidal Self-Injury
Background: Non-suicidal self-injury (NSSI), which commonly occurs during adolescence, often co-occurs with major depressive disorder (MDD). However, the underlying neurobiological mechanisms in adolescents with MDD who engage in NSSI remain unclear. The current study examined the aberrant local neural activity in certain areas of the visual regions and the default mode network (DMN) and the resting-state functional connectivity (rs-FC) in change…
Relationship between Internet addiction, susceptible personality traits, and suicidal and self-harm ideation in Chinese adolescent students
Psychological resilience, depression, anxiety, and somatization symptoms in response to Covid-19
Building China’s framework for overseas investment and financing cooperation
In recent years, China’s overseas investment and construction projects have been developing rapidly. In the meantime, financing demand in developing and emerging economies for projects such as infrastructural and industrial development has soared. This paper assesses the status quo of China’s cooperation in overseas investment and financing, recommends that China should promote investment and financing cooperation under the leading principles of …
Building China’s framework for overseas investment and financing cooperation
In recent years, China’s overseas investment and construction projects have been developing rapidly. In the meantime, financing demand in developing and emerging economies for projects such as infrastructural and industrial development has soared. This paper assesses the status quo of China’s cooperation in overseas investment and financing, recommends that China should promote investment and financing cooperation under the leading principles of …
Relationship between Internet addiction, susceptible personality traits, and suicidal and self-harm ideation in Chinese adolescent students
Psychological resilience, depression, anxiety, and somatization symptoms in response to Covid-19
The Association Between Resting State Functional Connectivity and the Trait of Impulsivity and Suicidal Ideation in Young Depressed Patients With Suicide Attempts
Suicide is a leading cause of death among youth and is strongly associated with major depressive disorder (MDD). However, the neurobiological underpinnings of suicidal behaviour and the identification of risk for suicide in young depressed patients are not yet well-understood. In this study, we used a seed-based correlation analysis to investigate the differences in resting-state functional connectivity (RSFC) in depressed youth with or without a…
Disruption of Neural Activity and Functional Connectivity in Adolescents With Major Depressive Disorder Who Engage in Non-suicidal Self-Injury
Background: Non-suicidal self-injury (NSSI), which commonly occurs during adolescence, often co-occurs with major depressive disorder (MDD). However, the underlying neurobiological mechanisms in adolescents with MDD who engage in NSSI remain unclear. The current study examined the aberrant local neural activity in certain areas of the visual regions and the default mode network (DMN) and the resting-state functional connectivity (rs-FC) in change…
Attitudes Toward Psychiatry Among Medical Students With a Psychiatric Major at Chongqing Medical University
Students generally have good expectations toward psychiatry, but different opinions are also held and the field is still faced with various challenges in order to provide more psychiatrists
Changes in gray matter volume following electroconvulsive therapy in adolescent depression with suicidal ideation
Frontal-temporal-precuneus structure changes may be a potential cause of depressive and suicidal symptoms in adolescents. ECT may improve depressive and suicidal symptoms in adolescents by regulating brain structures to compensate original defects
A Resting State Functional Magnetic Resonance Imaging Study of Unmedicated Adolescents With Non-suicidal Self-Injury Behaviors
We found that in ALFF, fALFF and ReHo, the significant differences between nsMDDs and nnsMDDs are mainly located in default mode network (DMN) and visual network (VN), and there may be brain regions related to NSSI in DMN and VN. The significant differences brain regions in ALFF, fALFF and ReHo between nsMDDs and nnsMDDs were related to the total score of the relevant clinical psychological scale, and may be related to NSSI
A propensity score matching study
Background The 2019 coronavirus disease (COVID-19) pandemic increased the risks of mental health challenges, especially anxiety and depression. However, the impact of COVID-19 on mental health during pregnancy has not been fully established. Therefore, we investigated the impact of the COVID-19 pandemic on maternal mental health. Methods Two cohorts of pregnant women at their first antenatal care in the First Affiliated Hospital of Chongqing Medi…
Severity related neuroanatomical and spontaneous functional activity alteration in adolescents with major depressive disorder
The abnormal structural and functional findings at cortico-subcortical areas implied the dysfunctional cognitive control and emotional regulations in adolescent depression. The findings might help elaborate the underlying neural mechanisms of MDD in adolescents
Application of machine learning in predicting adolescent Internet behavioral addiction
The detection rate of Internet addiction is higher in males than in females, and adolescents with impulsive, extroverted, psychotic, neurotic, obsessive, depressive, and hostile traits are more prone to developing Internet addiction. While the overall performance of the machine learning models for predicting adolescent Internet addiction is moderate, the extreme gradient boosting method outperforms others, effectively identifying risk factors and…
Application of the “hospital-school-home-community” integrated mental health service model for primary and secondary school students in Chongqing, China
The "Hospital-School-Home-Community" integrated mental health service model has demonstrated success in improving child and youth mental health within the school setting in Chongqing. It has effectively linked education and health systems to address a full continuum of care
Exploring the profile and risk factors associated with self-harm ideation and behaviors in adolescents with high psychoticism
Our findings highlight the critical need for targeted interventions addressing modifiable determinants. Prioritizing female adolescents and those with higher psychoticism traits is recommended, supported by evidence-based family psychoeducation programs and enhanced accessibility of community mental health services with specific focus on emotion regulation training
The effects of parent-child relationship, study stress, and mobile phone use on depressive symptoms among Chinese elementary school students
These results emphasize the importance of nurturing parent-child relationship, monitoring study stress, and managing mobile phone usage to support students' mental health. Furthermore, the findings suggest that the impact of mobile phone usage on the mental health of elementary school students varies in complexity across different parent-child relationship contexts, providing valuable insights and recommendations for developing targeted preventiv…
Takeaway food consumption and depressive symptoms in Chinese university students
The study highlights the negative relationship between takeaway frequency and emotional well-being, emphasizing the need to focus on the emotional health of frequent takeaway food consumers. Moreover, our study suggests that increased physical activity may alleviate takeaway-induced mood-related outcomes
Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm
The detection rate of suicidal and self-injurious behaviors is higher in women than in men. Adolescents displaying impulsiveness, psychoticism, neuroticism, interpersonal sensitivity, depression, and paranoia have a greater likelihood of engaging in such behaviors. The machine learning model for classifying and predicting adolescent suicide and self-injury risk effectively identifies these behaviors, enabling targeted interventions
Medicine (13 works) · Psychology (13 works) · Psychiatry (11 works) · Clinical Psychology (9 works) · Clinical Psychology (9 works) · Neuroscience (6 works) · Anxiety (4 works) · Child and Adolescent Psychosocial and Emotional Development (4 works) · Depression (economics (4 works) · Functional Brain Connectivity Studies (4 works)