Zhihao Zhang
Biographic Data
| ID | 3863556 |
|---|---|
| NAME | Zhihao Zhang |
| GIVEN NAMES | Zhihao |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Z |
| AFFILIATIONS | China Pharmaceutical University |
| ORCID | 0000-0002-3634-453X |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Brief Pre-Class Physical Exercise Selectively Enhances Mathematics-Specific Inhibitory Control: A Cluster-Randomized Trial in Authentic Classrooms
Mohini M. Chatterjee’s Theosophical Thought as a Source of the Number “Seven” in William Butler Yeats’s The Shadowy Waters
Yeats’s occult play The Shadowy Waters has often been associated with Indian tradition. From an intercultural perspective, this note argues that the recurrent yet neglected number “seven” serves as the central mystical symbol derived from Yeats’s contact with the Indian Theosophist Mohini M. Chatterjee. Such major details as the “seven woods” and “seven-stringed harp” reflect Yeats’s absorption and adaptation of the septenary principle of cosmic …
An AI-based intelligent diagnosis system for adolescent mental health based on multitask deep learning
The IDS offers a robust, culturally sensitive, and scalable tool for adolescent mental health screening. By outperforming single-task baselines, it provides a proactive, privacy-preserving alternative to traditional self-reports. Future research will focus on longitudinal validation, multimodal integration, and ethical deployment strategies to maximize the system's utility in educational and clinical settings
The relationship between family health, stress, and self-efficacy on depression among university students: A large-scale national cross-sectional study
Background: Depression is a prevalent mental disorder globally, significantly impacting university students who face unique challenges such as academic and family pressures. This study investigates the prevalence of depressive symptoms among university students, examining the mediating role of stress in the relationship between family health and depressive symptoms, and the moderating role of self-efficacy in these relationships during COVID-19. …
Afforestation With Xerophytic Shrubs Promoted Soil Organic Carbon Stability in a Hyper‐Arid Environment of Desert
In desert ecosystems, afforestation with xerophytic shrubs has the potential to significantly increase soil nutrient levels by mitigating wind and soil erosion. Nevertheless, further investigation is required to elucidate the changes in soil organic carbon (SOC) fractions and stability on different soil depths with afforestation years. We collected soil samples from the 0–20, 20–60, and 60–100 cm depths of three xerophytic shrublands ages (3, 7, …
Shrub Afforestation Increases Microbial‐Derived Carbon in Arid Regions
Soil organic carbon (SOC) primarily originates from microbial and plant‐derived carbon (C). Afforestation activities significantly influence the retention of these C sources. However, in arid regions where SOC is particularly sensitive to external disturbance, the impact of afforestation on microbial‐ and plant‐derived C, and their relative contributions to SOC, remains poorly understood. To address this knowledge gap, we investigated the relativ…
The association between exposure to brominated flame retardants (BFRs) and arthritis, osteoarthritis, and rheumatoid arthritis: A cross-sectional study
This study suggested that exposure to specific kinds of BFRs was positively associated with arthritis, osteoarthritis, and RA. Further research is warranted to explore the underlying mechanisms
Between imagination and reality: A complementary approach to “Harbin note” through diaspoetics and cultural semiotics
In the study of Russian émigré literature, an inherent Russian-centric perspective persists. Diaspoetics, with its meta-critical attributes, offers a means effectively to address this limitation. Central to its focus are the concepts of ‘imagination’ and ‘reality’ in diaspora identity. Across its developmental stages, diaspoetics alternately emphasizes objective identity definition and subjective identity construction, each approach presenting di…
The synergy of embodied cognition and cognitive load theory for optimized learning
Soil microbial community dynamics in response to Tamarix ramosissima afforestation in desert lands: Metagenomic insights
Understanding the influence of afforestation on soil microorganisms, the major drivers of soil processes, is essential for maintaining soil health and sustainability. However, in a desert‐oasis ecotone, variations in the microbial community along shrub afforestation years remain unclear. We conducted a metagenomic analysis to study the temporal changes in microbial community structure in 0–100 cm soil following 3‐, 7‐, and 10‐year afforestation o…
Bidirectional regulation effect of rhubarb as laxative and astringent by metabolomics studies
PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a single predefined matrix or a single self-generated matrix. It is difficult to obtain deeper spatial information by only relying on a single adjacency matrix. In this paper, we present a progress…
Improving adaptation to wildfire smoke and extreme heat in frontline communities: Evidence from a community-engaged pilot study in the San Francisco Bay Area
Exposure to climate hazards is increasing, and the experiences of frontline communities warrant meaningful and urgent attention towards how to mitigate, manage, and adapt to hazards. We report results from a community-engaged pilot (November 2021–June 2022) of N = 30 participants in four frontline communities of the San Francisco Bay Area, California, USA. The study region is an area where low-income, non-English-speaking residents are inequitabl…
Research on the Application of Artificial Intelligence in Public Health Management: Leveraging Artificial Intelligence to Improve Covid-19 CT Image Diagnosis
Since the start of 2020, the outbreak of the Coronavirus disease (COVID-19) has been a global public health emergency, and it has caused unprecedented economic and social disaster. In order to improve the diagnosis efficiency of COVID-19 patients, a number of researchers have conducted extensive studies on applying artificial intelligence techniques to the analysis of COVID-19-related medical images. The automatic segmentation of lesions from com…
Β-Hydroxybutyric acid upregulated by Suhuang antitussive capsule ameliorates cough variant asthma through GSK3β/AMPK-Nrf2 signal axis
Relationship between behavioral inhibition/activation system and Internet addiction among Chinese college students: The mediating effects of intolerance of uncertainty and self-control and gender diff…
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 …
Release and Demand of Public Health Information in Social Media During the Outbreak of Covid-19 in China
Information release is a key to the macro-economy during the outbreak of the Coronavirus Diosease-2019 (COVID-19). To explore the relationship between information supply by the government and public information demand in the pandemic, this study collected over 4,000 posts published on the most popular social media platform, i.e., WeChat. Many approaches, such as text mining, are employed to explore the information at different stages during the p…
A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction
Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns of subway networks, the prediction task is still challenging. Thus, a hybrid neural network model, GCTN (graph convolutional and comprehensive temporal neural network), is proposed. The model combines…
Association of social support with negative emotions among Chinese adolescents during Omicron-related lockdown of Shenzhen City: The roles of rumination and sleep quality
For early detection and prevention of depression and anxiety, providing sufficient social support is necessary for adolescents, because rumination and sleep problems are reported during stressful periods, such as the COVID-19 pandemic
The Relationship between the Outdoor School Violence Distribution and the Outdoor Campus Environment: An Empirical Study from China
It is widely believed that outdoor environmental design contributes to outdoor violence prevention. To enhance the effectiveness of environmental design, the intrinsic link between the outdoor school violence distribution (OSVD) and the outdoor campus environment (OCE) should be fully considered. For this purpose, this study investigated boarding school L, located in southern Zhejiang Province of China, through a questionnaire and Spatial Syntax …
Suhuang antitussive capsule ameliorates post-infectious cough in mice through AhR-Nrf2 pathway
A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the task is still challenging due to the complex spatial dependency on the metro network and the time-varying traffic patterns. Therefore, we propose a novel deep learning architecture combining graph at…
Behavioral Inhibition/Activation Systems and Depression Among Females With Substance Use Disorder: The Mediating Role of Intolerance of Uncertainty and Anhedonia
Previous studies have shown that the behavioral inhibition/activation systems (BIS/BAS) have substantial effects on substance use disorder and emotional disorders, and substance use disorder and emotional disorders often occur; in particular, females with substance use disorder are more likely to also have serious emotional disorders including depression than their male counterparts. However, the associations between the BIS/BAS and depression in…
Transcriptomics and metabolomics reveal the cardioprotective effect of Compound Danshen tablet on isoproterenol-induced myocardial injury in high-fat-diet fed mice
General toxicity of Pinellia ternata (Thunb.) Berit. in rat: A metabonomic method for profiling of serum metabolic changes
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General toxicity of Pinellia ternata (Thunb.) Berit. in rat: A metabonomic method for profiling of serum metabolic changes
Transcriptomics and metabolomics reveal the cardioprotective effect of Compound Danshen tablet on isoproterenol-induced myocardial injury in high-fat-diet fed mice
A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the task is still challenging due to the complex spatial dependency on the metro network and the time-varying traffic patterns. Therefore, we propose a novel deep learning architecture combining graph at…
Behavioral Inhibition/Activation Systems and Depression Among Females With Substance Use Disorder: The Mediating Role of Intolerance of Uncertainty and Anhedonia
Previous studies have shown that the behavioral inhibition/activation systems (BIS/BAS) have substantial effects on substance use disorder and emotional disorders, and substance use disorder and emotional disorders often occur; in particular, females with substance use disorder are more likely to also have serious emotional disorders including depression than their male counterparts. However, the associations between the BIS/BAS and depression in…
Relationship between behavioral inhibition/activation system and Internet addiction among Chinese college students: The mediating effects of intolerance of uncertainty and self-control and gender diff…
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 …
Release and Demand of Public Health Information in Social Media During the Outbreak of Covid-19 in China
Information release is a key to the macro-economy during the outbreak of the Coronavirus Diosease-2019 (COVID-19). To explore the relationship between information supply by the government and public information demand in the pandemic, this study collected over 4,000 posts published on the most popular social media platform, i.e., WeChat. Many approaches, such as text mining, are employed to explore the information at different stages during the p…
A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction
Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns of subway networks, the prediction task is still challenging. Thus, a hybrid neural network model, GCTN (graph convolutional and comprehensive temporal neural network), is proposed. The model combines…
Association of social support with negative emotions among Chinese adolescents during Omicron-related lockdown of Shenzhen City: The roles of rumination and sleep quality
For early detection and prevention of depression and anxiety, providing sufficient social support is necessary for adolescents, because rumination and sleep problems are reported during stressful periods, such as the COVID-19 pandemic
The Relationship between the Outdoor School Violence Distribution and the Outdoor Campus Environment: An Empirical Study from China
It is widely believed that outdoor environmental design contributes to outdoor violence prevention. To enhance the effectiveness of environmental design, the intrinsic link between the outdoor school violence distribution (OSVD) and the outdoor campus environment (OCE) should be fully considered. For this purpose, this study investigated boarding school L, located in southern Zhejiang Province of China, through a questionnaire and Spatial Syntax …
Suhuang antitussive capsule ameliorates post-infectious cough in mice through AhR-Nrf2 pathway
PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a single predefined matrix or a single self-generated matrix. It is difficult to obtain deeper spatial information by only relying on a single adjacency matrix. In this paper, we present a progress…
Improving adaptation to wildfire smoke and extreme heat in frontline communities: Evidence from a community-engaged pilot study in the San Francisco Bay Area
Exposure to climate hazards is increasing, and the experiences of frontline communities warrant meaningful and urgent attention towards how to mitigate, manage, and adapt to hazards. We report results from a community-engaged pilot (November 2021–June 2022) of N = 30 participants in four frontline communities of the San Francisco Bay Area, California, USA. The study region is an area where low-income, non-English-speaking residents are inequitabl…
Research on the Application of Artificial Intelligence in Public Health Management: Leveraging Artificial Intelligence to Improve Covid-19 CT Image Diagnosis
Since the start of 2020, the outbreak of the Coronavirus disease (COVID-19) has been a global public health emergency, and it has caused unprecedented economic and social disaster. In order to improve the diagnosis efficiency of COVID-19 patients, a number of researchers have conducted extensive studies on applying artificial intelligence techniques to the analysis of COVID-19-related medical images. The automatic segmentation of lesions from com…
Β-Hydroxybutyric acid upregulated by Suhuang antitussive capsule ameliorates cough variant asthma through GSK3β/AMPK-Nrf2 signal axis
Soil microbial community dynamics in response to Tamarix ramosissima afforestation in desert lands: Metagenomic insights
Understanding the influence of afforestation on soil microorganisms, the major drivers of soil processes, is essential for maintaining soil health and sustainability. However, in a desert‐oasis ecotone, variations in the microbial community along shrub afforestation years remain unclear. We conducted a metagenomic analysis to study the temporal changes in microbial community structure in 0–100 cm soil following 3‐, 7‐, and 10‐year afforestation o…
Bidirectional regulation effect of rhubarb as laxative and astringent by metabolomics studies
The relationship between family health, stress, and self-efficacy on depression among university students: A large-scale national cross-sectional study
Background: Depression is a prevalent mental disorder globally, significantly impacting university students who face unique challenges such as academic and family pressures. This study investigates the prevalence of depressive symptoms among university students, examining the mediating role of stress in the relationship between family health and depressive symptoms, and the moderating role of self-efficacy in these relationships during COVID-19. …
Afforestation With Xerophytic Shrubs Promoted Soil Organic Carbon Stability in a Hyper‐Arid Environment of Desert
In desert ecosystems, afforestation with xerophytic shrubs has the potential to significantly increase soil nutrient levels by mitigating wind and soil erosion. Nevertheless, further investigation is required to elucidate the changes in soil organic carbon (SOC) fractions and stability on different soil depths with afforestation years. We collected soil samples from the 0–20, 20–60, and 60–100 cm depths of three xerophytic shrublands ages (3, 7, …
Shrub Afforestation Increases Microbial‐Derived Carbon in Arid Regions
Soil organic carbon (SOC) primarily originates from microbial and plant‐derived carbon (C). Afforestation activities significantly influence the retention of these C sources. However, in arid regions where SOC is particularly sensitive to external disturbance, the impact of afforestation on microbial‐ and plant‐derived C, and their relative contributions to SOC, remains poorly understood. To address this knowledge gap, we investigated the relativ…
The association between exposure to brominated flame retardants (BFRs) and arthritis, osteoarthritis, and rheumatoid arthritis: A cross-sectional study
This study suggested that exposure to specific kinds of BFRs was positively associated with arthritis, osteoarthritis, and RA. Further research is warranted to explore the underlying mechanisms
Between imagination and reality: A complementary approach to “Harbin note” through diaspoetics and cultural semiotics
In the study of Russian émigré literature, an inherent Russian-centric perspective persists. Diaspoetics, with its meta-critical attributes, offers a means effectively to address this limitation. Central to its focus are the concepts of ‘imagination’ and ‘reality’ in diaspora identity. Across its developmental stages, diaspoetics alternately emphasizes objective identity definition and subjective identity construction, each approach presenting di…
The synergy of embodied cognition and cognitive load theory for optimized learning
Brief Pre-Class Physical Exercise Selectively Enhances Mathematics-Specific Inhibitory Control: A Cluster-Randomized Trial in Authentic Classrooms
Mohini M. Chatterjee’s Theosophical Thought as a Source of the Number “Seven” in William Butler Yeats’s The Shadowy Waters
Yeats’s occult play The Shadowy Waters has often been associated with Indian tradition. From an intercultural perspective, this note argues that the recurrent yet neglected number “seven” serves as the central mystical symbol derived from Yeats’s contact with the Indian Theosophist Mohini M. Chatterjee. Such major details as the “seven woods” and “seven-stringed harp” reflect Yeats’s absorption and adaptation of the septenary principle of cosmic …
An AI-based intelligent diagnosis system for adolescent mental health based on multitask deep learning
The IDS offers a robust, culturally sensitive, and scalable tool for adolescent mental health screening. By outperforming single-task baselines, it provides a proactive, privacy-preserving alternative to traditional self-reports. Future research will focus on longitudinal validation, multimodal integration, and ethical deployment strategies to maximize the system's utility in educational and clinical settings
Medicine (10 works) · Biology (8 works) · Computer Science (7 works) · Artificial Intelligence (6 works) · Internal Medicine (6 works) · Psychology (6 works) · Biochemistry (5 works) · Chemistry (5 works) · Mathematics (5 works) · Artificial neural network (4 works)