Kun He
Datos Biográficos
| ID | 4072156 |
|---|---|
| NOMBRE | Kun He |
| NOMBRES | Kun |
| APELLIDO | He |
| FIRMA | HE K |
| AFILIACIONES | University of Groningen |
| ORCID | 0009-0007-8415-3686 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 23 |
| TOTAL DE CITAS | 6 |
| TOTAL COMO AUTOR | 23 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
LLM-enhanced computational grounded theory and the triadic dynamics of human-AI-society interaction
This paper advances a theoretical contribution, a triadic framework of human-AI-society interaction, and introduces a methodological innovation to support it. We argue that AI development is not a unidirectional pipeline from design to use but a recursive system of feedback loops across three interdependent spheres: practitioner-AI (design decisions), user-AI (application practices), and society-AI (evaluation and governance). To develop this the…
Can green finance mitigate Dutch disease? Evidence from China
This study investigates the mitigating effects of green finance on Dutch disease in China, using panel data from 30 provinces (excluding Tibet, Hong Kong, and Macau) from 2011–2021. Employing dynamic threshold effect models and mediation effect models, it identifies a resource curse phenomenon at the provincial level, indicative of Dutch disease, which negatively impacts economic growth. The research demonstrates that green finance plays a signif…
When Trust Facilitates Risk
Older adults in China are increasingly active digital users, but they encounter distinctive challenges when navigating deceptive content online and offline, including misinformation, disinformation, and cyber fraud. Drawing on 35 in-depth interviews with older adults aged 50+ in urban Beijing, this exploratory study examines how older users encounter, interpret, and respond to deceptive content in everyday digital practices. Instead of relying so…
Diagnosing multimodal disinformation
Global trends and future predictions of gastrointestinal ulcers in youth
Background: By analyzing past disease trends and comparing two time series statistical models, we can predict the global burden of gastrointestinal ulcers in specific populations of adolescents and young adults aged 10-24. This prediction can provide important references for optimizing prevention and control strategies in healthcare systems. Methods: We collected data on prevalence, incidence, disability-adjusted life years (DALYs), and mortality…
BMI trajectories are associated with NAFLD and advanced fibrosis via aging-inflammation mediation
The rapid ascending trajectory of BMI correlates with an increased susceptibility to NAFLD and advanced fibrosis independent of BMI, mediated by aging and inflammation. Our results suggest that long-term maintenance of BMI is pivotal in NAFLD prevention. Aging-inflammation may represent a distinct mechanism of sustained obesity to NAFLD, independent of IR
Internet memes, populist campaigns
This study examines how socially and culturally ingrained visual semiotic resources are used to demonstrate netizens’ affinities with ‘the people’ and dislikes of ‘the elite’ in expressions of online and bottom-up national populism in China. Using a methodological framework that integrates multimodal discourse analysis with a study of ideology, semiotics, and intertextuality, we study ‘weaponized’ Internet memes that were generated during three D…
Climate change has increased household electricity Consumption——An adaptive behavioral perspective
Using the panel data of 244 cities from 2011 to 2020, this paper constructs temperature deviation indicators and evaluates the effects of climate change on electricity consumption from an adaptive behavioral perspective. This paper finds that cooling degree days (CDD) push up electricity consumption, among which the purchase and use of air conditioners contribute about 58.7 % – 78.7 %. Heterogeneity analysis reveals that extreme temperature, humi…
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
Lustc
Predicting link states on dynamic attributed networks is one of the most fundamental problems for network analysis. To accurately predict the formations and disappearances of links, we need to utilize three types of information, that is, structural information, node content information, and temporal information, simultaneously. To this end, we propose a novel approach called LUSTC for predicting links and unlinks with structural information, temp…
Centroid-Based Multiple Local Community Detection
In recent years, the research of local community detection has attracted much attention. Most existing local community detection methods aim to find a single community of closely related nodes for a given query node, but in general, nodes are possible to belong to several communities, and detecting all the potential communities for a given query node is much more challenging. In this work, we propose a novel approach called the centroid-based mul…
Protocol for evaluating physiological and psychological acclimatization mechanisms in Tibetan plateau environment
Introduction: The transition from low to high altitude environments is associated with a multifaceted series of physiological and psychological alterations that manifest over time. These changes are intricately intertwined, with physiological acclimatization primarily mediated through the regulation of hypoxia-inducible factor (HIF), which orchestrates the expression of critical molecules and hormones. This process extends to encompass the epigen…
Tactics of Disconnection
This article explores the complex, multi-layered mechanisms of internet censorship in China, emphasizing its role as both a tool of control over public engagement and a mechanism for elites to disconnect themselves from spaces of public scrutiny, and avoid potential threats such as doxxing by bottom-up populist online movements. Through in-depth interviews with social media users, this study investigates how individuals perceive, assess, and navi…
Link Prediction and Unlink Prediction on Dynamic Networks
Link prediction on dynamic networks has been extensively studied and widely applied in various applications. However, existing methods only consider either the network structure or the temporal information, ignoring the potentialities of using both types of information together to comprehend the complex behaviors of dynamic networks. Moreover, temporal unlink prediction, which also plays an important role in the evolution of social networks, has …
Who are the people? Populists’ articulation of “the people” in contemporary China
Discerning what populists mean by the people is crucial for understanding populism. However, the appeals populists make to the people differ across political systems, with distinctions particularly evident between democratic contexts and one-party states such as China. Articulations of the people in Chinese populist communication remain underexplored, which is a gap this paper addresses by clarifying how the people is constructed in the discourse…
Forensic efficiency evaluation of a novel multiplex panel of InDels and STRs in the Guizhou Han population and its phylogenetic relationships with other reference populations
To sum up, the novel panel could be employed for forensic personal identification and paternity testing in the Guizhou Han population as a promising independent tool. Besides, the principal component analysis and phylogenetic tree of the Guizhou Han and other compared populations revealed that the Guizhou Han population possesses close genetic affinities with Hunan Han, CHS, and Han Chinese in Beijing (CHB) populations
The discursive logics of online populism
This paper explores online bottom-up populism in China by examining the discursive logics of populism that emerge within expressions of populist discontent. Through a conceptualization of the affordances of social media that considers what they enable alongside what they constrain, it uses a computational grounded theory approach to examine individuals’ posts and the use of hashtags in online communication on Sina Weibo around the #DrivingIntoThe…
Misreading of Political Discourse During Transcultural Communication
Misreading of political discourse has attracted increasing scholarly attention. However, little research has been conducted to clarify the conceptualization and investigate the mechanisms of political discourse misreading during transcultural communication. To address this gap, the present study analyzed the China–US talks in Alaska and the Belt and Road Initiative discourse based on Hall’s “encoding–decoding” model and using the critical discour…
Differentiation of Vegetation Community Characteristics by Altitude within Urban Parks and Their Service Functions in a Semi-Arid Mountain Valley
As the primary component of urban green space, parks play an important role in improving local environments and quality of life for city inhabitants. To date, much research on urban park plant community characteristics has been conducted worldwide, but studies focusing on differences across altitudes have been rare. Here, we have investigated fractional vegetation cover (FVC), plant species diversity, plant species composition, and plant life-for…
Relationship between multimorbidity, disease cluster and all-cause mortality among older adults
The risk of all-cause mortality is increased with the number of multimorbidity among Chinese older adults, particularly disease clusters
Sparse Nonnegative Matrix Factorization for Multiple-Local-Community Detection
Local community detection consists of finding a group of nodes closely related to the seeds, a small set of nodes of interest. Such groups of nodes are densely connected or have a high probability of being connected internally than their connections to other clusters in the network. Existing local community detection methods focus on finding either one local community that all seeds are most likely to be in or finding a single community for each …
Network pharmacology-based strategy to investigate pharmacological mechanisms of Tinospora sinensis for treatment of Alzheimer's disease
Protopine Inhibits Heterotypic Celladhesion In Mda-Mb-231 Cells Through Down-Regulation Of Multi-Adhesive Factors
BACKGROUND: A Chinese herb Corydalis yanhusuo W.T. Wang that showed anticancer and anti-angiogenesis effects in our previous studies was presented for further studies. In the present study, we studied the anticancer proliferation and adhesion effects of five alkaloids which were isolated from Corydalis yanhusuo. MATERIALS AND METHODS: MTT dose response curves, cell migration assay, cell invasion assay, as well as three types of cell adhesive assa…
The discursive logics of online populism
This paper explores online bottom-up populism in China by examining the discursive logics of populism that emerge within expressions of populist discontent. Through a conceptualization of the affordances of social media that considers what they enable alongside what they constrain, it uses a computational grounded theory approach to examine individuals’ posts and the use of hashtags in online communication on Sina Weibo around the #DrivingIntoThe…
Internet memes, populist campaigns
This study examines how socially and culturally ingrained visual semiotic resources are used to demonstrate netizens’ affinities with ‘the people’ and dislikes of ‘the elite’ in expressions of online and bottom-up national populism in China. Using a methodological framework that integrates multimodal discourse analysis with a study of ideology, semiotics, and intertextuality, we study ‘weaponized’ Internet memes that were generated during three D…
Protopine Inhibits Heterotypic Celladhesion In Mda-Mb-231 Cells Through Down-Regulation Of Multi-Adhesive Factors
BACKGROUND: A Chinese herb Corydalis yanhusuo W.T. Wang that showed anticancer and anti-angiogenesis effects in our previous studies was presented for further studies. In the present study, we studied the anticancer proliferation and adhesion effects of five alkaloids which were isolated from Corydalis yanhusuo. MATERIALS AND METHODS: MTT dose response curves, cell migration assay, cell invasion assay, as well as three types of cell adhesive assa…
Sparse Nonnegative Matrix Factorization for Multiple-Local-Community Detection
Local community detection consists of finding a group of nodes closely related to the seeds, a small set of nodes of interest. Such groups of nodes are densely connected or have a high probability of being connected internally than their connections to other clusters in the network. Existing local community detection methods focus on finding either one local community that all seeds are most likely to be in or finding a single community for each …
Network pharmacology-based strategy to investigate pharmacological mechanisms of Tinospora sinensis for treatment of Alzheimer's disease
Relationship between multimorbidity, disease cluster and all-cause mortality among older adults
The risk of all-cause mortality is increased with the number of multimorbidity among Chinese older adults, particularly disease clusters
Misreading of Political Discourse During Transcultural Communication
Misreading of political discourse has attracted increasing scholarly attention. However, little research has been conducted to clarify the conceptualization and investigate the mechanisms of political discourse misreading during transcultural communication. To address this gap, the present study analyzed the China–US talks in Alaska and the Belt and Road Initiative discourse based on Hall’s “encoding–decoding” model and using the critical discour…
Differentiation of Vegetation Community Characteristics by Altitude within Urban Parks and Their Service Functions in a Semi-Arid Mountain Valley
As the primary component of urban green space, parks play an important role in improving local environments and quality of life for city inhabitants. To date, much research on urban park plant community characteristics has been conducted worldwide, but studies focusing on differences across altitudes have been rare. Here, we have investigated fractional vegetation cover (FVC), plant species diversity, plant species composition, and plant life-for…
Link Prediction and Unlink Prediction on Dynamic Networks
Link prediction on dynamic networks has been extensively studied and widely applied in various applications. However, existing methods only consider either the network structure or the temporal information, ignoring the potentialities of using both types of information together to comprehend the complex behaviors of dynamic networks. Moreover, temporal unlink prediction, which also plays an important role in the evolution of social networks, has …
Who are the people? Populists’ articulation of “the people” in contemporary China
Discerning what populists mean by the people is crucial for understanding populism. However, the appeals populists make to the people differ across political systems, with distinctions particularly evident between democratic contexts and one-party states such as China. Articulations of the people in Chinese populist communication remain underexplored, which is a gap this paper addresses by clarifying how the people is constructed in the discourse…
Forensic efficiency evaluation of a novel multiplex panel of InDels and STRs in the Guizhou Han population and its phylogenetic relationships with other reference populations
To sum up, the novel panel could be employed for forensic personal identification and paternity testing in the Guizhou Han population as a promising independent tool. Besides, the principal component analysis and phylogenetic tree of the Guizhou Han and other compared populations revealed that the Guizhou Han population possesses close genetic affinities with Hunan Han, CHS, and Han Chinese in Beijing (CHB) populations
The discursive logics of online populism
This paper explores online bottom-up populism in China by examining the discursive logics of populism that emerge within expressions of populist discontent. Through a conceptualization of the affordances of social media that considers what they enable alongside what they constrain, it uses a computational grounded theory approach to examine individuals’ posts and the use of hashtags in online communication on Sina Weibo around the #DrivingIntoThe…
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
Lustc
Predicting link states on dynamic attributed networks is one of the most fundamental problems for network analysis. To accurately predict the formations and disappearances of links, we need to utilize three types of information, that is, structural information, node content information, and temporal information, simultaneously. To this end, we propose a novel approach called LUSTC for predicting links and unlinks with structural information, temp…
Centroid-Based Multiple Local Community Detection
In recent years, the research of local community detection has attracted much attention. Most existing local community detection methods aim to find a single community of closely related nodes for a given query node, but in general, nodes are possible to belong to several communities, and detecting all the potential communities for a given query node is much more challenging. In this work, we propose a novel approach called the centroid-based mul…
Protocol for evaluating physiological and psychological acclimatization mechanisms in Tibetan plateau environment
Introduction: The transition from low to high altitude environments is associated with a multifaceted series of physiological and psychological alterations that manifest over time. These changes are intricately intertwined, with physiological acclimatization primarily mediated through the regulation of hypoxia-inducible factor (HIF), which orchestrates the expression of critical molecules and hormones. This process extends to encompass the epigen…
Tactics of Disconnection
This article explores the complex, multi-layered mechanisms of internet censorship in China, emphasizing its role as both a tool of control over public engagement and a mechanism for elites to disconnect themselves from spaces of public scrutiny, and avoid potential threats such as doxxing by bottom-up populist online movements. Through in-depth interviews with social media users, this study investigates how individuals perceive, assess, and navi…
Global trends and future predictions of gastrointestinal ulcers in youth
Background: By analyzing past disease trends and comparing two time series statistical models, we can predict the global burden of gastrointestinal ulcers in specific populations of adolescents and young adults aged 10-24. This prediction can provide important references for optimizing prevention and control strategies in healthcare systems. Methods: We collected data on prevalence, incidence, disability-adjusted life years (DALYs), and mortality…
BMI trajectories are associated with NAFLD and advanced fibrosis via aging-inflammation mediation
The rapid ascending trajectory of BMI correlates with an increased susceptibility to NAFLD and advanced fibrosis independent of BMI, mediated by aging and inflammation. Our results suggest that long-term maintenance of BMI is pivotal in NAFLD prevention. Aging-inflammation may represent a distinct mechanism of sustained obesity to NAFLD, independent of IR
Internet memes, populist campaigns
This study examines how socially and culturally ingrained visual semiotic resources are used to demonstrate netizens’ affinities with ‘the people’ and dislikes of ‘the elite’ in expressions of online and bottom-up national populism in China. Using a methodological framework that integrates multimodal discourse analysis with a study of ideology, semiotics, and intertextuality, we study ‘weaponized’ Internet memes that were generated during three D…
Climate change has increased household electricity Consumption——An adaptive behavioral perspective
Using the panel data of 244 cities from 2011 to 2020, this paper constructs temperature deviation indicators and evaluates the effects of climate change on electricity consumption from an adaptive behavioral perspective. This paper finds that cooling degree days (CDD) push up electricity consumption, among which the purchase and use of air conditioners contribute about 58.7 % – 78.7 %. Heterogeneity analysis reveals that extreme temperature, humi…
LLM-enhanced computational grounded theory and the triadic dynamics of human-AI-society interaction
This paper advances a theoretical contribution, a triadic framework of human-AI-society interaction, and introduces a methodological innovation to support it. We argue that AI development is not a unidirectional pipeline from design to use but a recursive system of feedback loops across three interdependent spheres: practitioner-AI (design decisions), user-AI (application practices), and society-AI (evaluation and governance). To develop this the…
Can green finance mitigate Dutch disease? Evidence from China
This study investigates the mitigating effects of green finance on Dutch disease in China, using panel data from 30 provinces (excluding Tibet, Hong Kong, and Macau) from 2011–2021. Employing dynamic threshold effect models and mediation effect models, it identifies a resource curse phenomenon at the provincial level, indicative of Dutch disease, which negatively impacts economic growth. The research demonstrates that green finance plays a signif…
When Trust Facilitates Risk
Older adults in China are increasingly active digital users, but they encounter distinctive challenges when navigating deceptive content online and offline, including misinformation, disinformation, and cyber fraud. Drawing on 35 in-depth interviews with older adults aged 50+ in urban Beijing, this exploratory study examines how older users encounter, interpret, and respond to deceptive content in everyday digital practices. Instead of relying so…
Diagnosing multimodal disinformation
Computer Science (9 obras) · China (6 obras) · Political science (6 obras) · Sociology (6 obras) · Artificial Intelligence (5 obras) · Biology (5 obras) · Law (5 obras) · Medicine (5 obras) · Complex Network Analysis Techniques (4 obras) · Data mining (4 obras)