Qiang He
Biographic Data
| ID | 3721901 |
|---|---|
| NAME | Qiang He |
| GIVEN NAMES | Qiang |
| FAMILY NAME | He |
| SIGNATURE | HE Q |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0001-6481-0924 |
| VERIFIED | Yes |
| TOTAL WORKS | 42 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 42 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Nonlinear Group Influence Maximization Based on Prioritized Double Deep Q-Networks
An Adaptive Structural Balance Method Based on Reinforcement Learning for Signed Social Networks
The structural balance problem in signed social networks targets at detecting the unbalanced edges and minimizing the cost to make a network balanced. Current studies mainly focus on the cost difference between changing positive and negative edges, ignoring the influence from nodes’ neighbors on the cost to change unbalanced edges. In this article, we propose a novel structural balance model by considering the influences of the edge weights and r…
The association between social determinants, lifestyle and metabolic factors and the onset of secondary glenohumeral joint osteoarthritis: A cohort study of adults in the UK
Objective Secondary Glenohumeral Joint Osteoarthritis (GJO) is a degenerative condition of non-weight-bearing joints. While age and gender are known risk factors, the role of modifiable factors remains underexplored. This study aimed to assess the association of social determinants, lifestyle, and metabolic factors with the incidence of secondary GJO. Methods We included 26,708 UK Biobank participants without OA at baseline and who reported secon…
Rapid diagnosis of Helicobacter pylori infection status based on endoscopic features and deep learning algorithms
Background and aims: (HP) infection status is highly important for helping endoscopists quickly understand the status of gastric background mucosa and assisting in subsequent diagnosis and treatment. In this study, a deep learning algorithm was designed to construct a three-class classification model of HP infection status, providing a new approach to address the subjectivity in the interpretation of endoscopic features. Methods: The clinical dat…
A study of the carbon emission reduction effects of the digital economy: Evidence from China’s prefecture-level cities
Insight into rapid vegetation dynamics in China’s saltmarshes reveals overlooked coastal soil carbon storage
Influence Maximization in Sentiment Propagation With Multisearch Particle Swarm Optimization Algorithm
Sentiment propagation plays a crucial role in the continuous emergence of social public opinion and network group events. By analyzing the maximum Influence of sentiment propagation, we can gain a better understanding of how network group events arise and evolve. Influence maximization (IM) is a critical fundamental issue in the field of informatics, whose purpose is to identify the collection of individuals and maximize the specific information'…
Efficient Rumor Suppression With Dynamic Blocking Strategy in Social Networks
With the continuous development of Internet technology, social networks have provided convenient conditions for information dissemination. The rapid dissemination of information has provided us with great convenience, but some criminals extensively spread rumors based on such convenience, adversely affecting social stability. In this context, two key challenges arise: the survivability of rumors, which refers to their persistence and long-term im…
FMQS: Enabling Fast Multimedia Data Queries in Edge Storage Systems
In recent years, with the development of cyber–physical–social systems (CPSSs), the integration of the Internet of Things (IoT) and social networks has been advocated to promote further development. Multimedia big data (MMBD) generated by Social Internet of Things (SIoT) devices is commonly distributed and stored on edge servers. In this context, collaborative processing of user requests among edge servers becomes crucial to meet the low-latency …
The association between digital technology use and depression among older people in China: A moderated mediation model
Multidimensional digital technology use showed an association with depression in older adults. Promoting social participation through digital technology use is associated with lower depressive symptom scores, and vigorous PAL further strengthens this association, leading to improved mental health
Impact of inflammation levels on the liver during the Covid-19 pandemic: A mediation analysis
Our findings indicate that during the COVID-19 pandemic, SIRI exerted a significant impact on liver health, demonstrating particular utility in the early detection of hepatic fibrosis and steatosis. These results underscore the potential of SIRI as a valuable marker in the prevention and management of liver diseases, warranting greater attention in clinical and public health settings
Association of daily step counts and intensity in obesity among older Chinese women: A cross-sectional study
Higher daily step counts and intensity appear associated with a lower risk of obesity, although daily step counts is not associated with BMI. For women aged 60-70, aiming for over 9,135 steps/day is suggested. Adjusting step counts and intensity according to individual circumstances is advisable
From drought to recovery: How extreme drought drives adaptive behaviour and grain production efficiency in Sichuan and Chongqing, China
FDGNN: Feature-Aware Disentangled Graph Neural Network for Recommendation
Collaborative filtering (CF) is dedicated to learning the representations of users and items based on interactive data. Regrettably, the lack of fine-grained modeling of interactive motivation makes the model less interpretable. A feasible solution is to combine the disentangling idea with the graph neural network (GNN) and capture different types of interaction relationships by using a message propagation mechanism on the graph of user–item inte…
An Efficient Rumor Suppression Approach With Knowledge Graph Convolutional Network in Social Network
Social networks currently serve as one of the primary sources from which people obtain news, with the spread of rumors emerging as a major concern. The goal of rumor suppression is to minimize the number of individuals affected by rumors through various methods, such as blocking and disseminating the truth. Although this problem has evolved into a popular research topic, existing solutions often overlook the temporal impact of rumor-refuting info…
The association between accelerated biological aging and the risk of osteoarthritis: A cross-sectional study
Background Biological age (BA) offers an effective assessment of true aging state. The progression of Osteoarthritis (OA) is closely associated with an increase in chronological age, the correlation between BA and OA has not been fully elucidated. Methods This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Thirteen commonly used clinical traits were employed to calculate two measures of BA: the K…
Associations between accelerometer-measured physical activity and sedentary behaviour with physical function among older women: A cross-sectional study
A significant association was observed between poorer lower limb function and prolonged, uninterrupted SB in older women, rather than with the total SB time. Concurrently, the insufficient engagement in MVPA may also be a crucial factor contributing to poorer PF in older women. Engaging in longer durations and higher intensity of PA, such as bouts of MVPA lasting a minimum of 10 min or longer, may contribute to better PF
Cooking with unclean energy: Insight into power shortage in rural areas
The impact and channel effects of Yangtze River’s great protection strategy on carbon emissions: Quasi-experimental evidence from China
Green development effect assessment and driving force analysis of the new infrastructure construction in China
Developing a land development compensation model for returned land in tract expropriation: Towards a unified urban-rural land market in China
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization
The rumors in the healthcare system have the attributes of fast spread and severe social influence. Even worse, it may cause the collapse of medical services and the death of many patients. To prevent its serious impact on society, the target of rumor suppression for the healthcare system is to restrain the spread of rumors (negative opinions) and maximize the spread of antirumors (positive opinions). Therefore, in this article, for the first tim…
Semantic Tradeoff for Heterogeneous Graph Embedding
Recently, many data mining models based on heterogeneous graph (HG) have emerged. Among these, HG embedding is an important and indispensable process. However, the existing HG embedding models usually use graph neural network to learn embeddings separately on different meta-paths, ignoring the fact that different meta-paths contain not only their unique semantics but also related semantics. This may result in semantic overlap or irrelevance, whic…
Graph Convolutional Network-Based Rumor Blocking on Social Networks
Misinformation and rumors can spread rapidly and widely through online social networks, seriously endangering social stability. Therefore, rumor blocking on social networks has become a hot research topic. In the existing research, when users receive two opposing opinions, they tend to believe the one arrives first. In this article, we argue that users will dialectically trust the information based on their own opinions rather than the rule of fi…
Positive Influence Maximization in Signed Networks Within a Limited Time
With the rapid development of science and technology, influence maximization (IM) problem has been a hot research issue. There are positive and negative relations in social networks, so the problem of IM in signed networks has a wide range of applications. Moreover, the dissemination of information is usually time-sensitive in social networks. Therefore, in this article, we propose a problem about maximizing the positive influence in signed netwo…
Environmental Risk Factors of Disease in the Cameron Park Colonia, a Hispanic Community Along the Texas–Mexico Border
Anti-osteoporosis activity of Cibotium barometz extract on ovariectomy-induced bone loss in rats
Prevalence of chronic kidney disease in China: A cross-sectional survey
Improvements in Environmental Health Literacy along the Texas-Mexico Border Following Community-wide Health Education
The positive outcomes derived from the implementation of culturally sensitive educational programs in addressing disparities in environmental literacy and health among disadvantaged communities have not been rigorously examined. This report summarizes the results of a community-wide survey completed to test this hypothesis in the Cameron Park Colonia, one of the poorest communities along the Texas-Mexico border. The assessment followed a two-year…
Forecasting stock returns with model uncertainty and parameter instability
We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm that the simple combination of individual predictors is superior. However, sophisticated models improve dramatically once we combine them with the historical average and take parameter instability into account. An equal weighted combination of the historical average with …
Airborne infection risks of Sars-CoV-2 in U.S. schools and impacts of different intervention strategies
Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks
Competitive opinion maximization (COM) in signed social networks targets at selecting a subset of influential individuals (i.e., seed nodes), spreading the desired opinions of the product to their neighbors against its opponents, and eventually achieving the maximum opinion propagation. Current studies mainly focus on competitive influence maximization and opinion maximization. However, COM in signed social networks has not been studied in depth.…
Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China
China is the largest carbon emitter in the world, with agricultural carbon emissions accounting for 17% of China's total carbon emissions. Agricultural carbon emission reduction has become the key to achieving the "Double Carbon" goal. At the same time, the role of the digital economy in achieving the "dual carbon" goal cannot be ignored as an important engine to boost the high-quality development of China's economy. Therefore, this paper uses th…
The Impact of Rural Population Mobility on Fertility Intention under the Comprehensive Two-Child Policy: Evidence from Rural China
Declining fertility rates pose challenges to global economic, social, cultural and political development. Low fertility rates among rural floating populations are exacerbating these challenges. However, it is not clear whether and to what extent rural population mobility (RPM) has reduced migrants' willingness to have children. At the same time, rural migration may represent a self-selection behavior (i.e., selection bias), and traditional measur…
Reallocating Time Spent in Physical Activity, Sedentary Behavior and Its Association with Fear of Falling: Isotemporal Substitution Model
The aim of the current study was to provide new evidence for the associations between physical activity (PA), sedentary behavior (SB), and fear of falling (FOF) by investigating the impact of replacing 30 min SB with both light-intensity PA (LPA) and moderate-to-vigorous PA (MVPA) on FOF in older Chinese women. Cross-sectional data from a Physical Activity and Health in Older Women Study (PAHIOWS) were analyzed for 1114 Chinese community-dwelling…
The Association between Body Mass Index and Muscular Fitness in Chinese College Freshmen
(1) Background: The present study aimed to investigate the association between body mass index (BMI) and muscular fitness in Chinese college freshmen. (2) Methods: A total of 6425 college freshmen in mainland China were recruited. BMI was classified as underweight ( 2 ), normal weight (18.5~23.9 kg/m 2 ), overweight (24~27.9 kg/m 2 ), and obese (≥28 kg/m 2 ), according to the Working Group on Obesity in China. Health-related physical fitness comp…
Brain Functional Connectivity in Middle-Aged Hong Chuan Tai Chi Players in Resting State
Tai Chi is an effective strategy for slowing cognitive decline, although the underlying mechanism remains unclear. We designed a cross-sectional study to examine brain functional connectivity in middle-aged Hong Chuan Tai Chi practitioners. Eighteen middle-aged Hong Chuan Tai Chi practitioners and 22 age-matched Tai Chi-naïve controls completed functional near-infrared spectroscopy (fNIRS) tests to evaluate oxyhemoglobin changes in the prefrontal…
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization
The rumors in the healthcare system have the attributes of fast spread and severe social influence. Even worse, it may cause the collapse of medical services and the death of many patients. To prevent its serious impact on society, the target of rumor suppression for the healthcare system is to restrain the spread of rumors (negative opinions) and maximize the spread of antirumors (positive opinions). Therefore, in this article, for the first tim…
Semantic Tradeoff for Heterogeneous Graph Embedding
Recently, many data mining models based on heterogeneous graph (HG) have emerged. Among these, HG embedding is an important and indispensable process. However, the existing HG embedding models usually use graph neural network to learn embeddings separately on different meta-paths, ignoring the fact that different meta-paths contain not only their unique semantics but also related semantics. This may result in semantic overlap or irrelevance, whic…
Graph Convolutional Network-Based Rumor Blocking on Social Networks
Misinformation and rumors can spread rapidly and widely through online social networks, seriously endangering social stability. Therefore, rumor blocking on social networks has become a hot research topic. In the existing research, when users receive two opposing opinions, they tend to believe the one arrives first. In this article, we argue that users will dialectically trust the information based on their own opinions rather than the rule of fi…
Positive Influence Maximization in Signed Networks Within a Limited Time
With the rapid development of science and technology, influence maximization (IM) problem has been a hot research issue. There are positive and negative relations in social networks, so the problem of IM in signed networks has a wide range of applications. Moreover, the dissemination of information is usually time-sensitive in social networks. Therefore, in this article, we propose a problem about maximizing the positive influence in signed netwo…
The association between physical activity and fear of falling among community-dwelling older women in China: The mediating role of physical fitness
Background: This study aimed to explore the association between physical activity (PA) and fear of falling (FOF) and to determine whether this relationship was mediated by physical fitness (PF) in community-dwelling older women. Methods: For this cross-sectional study, a total of 1,108 older women were recruited. Moderate-to-vigorous physical activity (MVPA) and light physical activity (LPA) were objectively measured by accelerometers. Physical f…
A General Construction Method of Virtual Simulation Experiment Platform Based on Bibliometrics and Analytic Hierarchy Process
Virtual simulation can solve the challenges of high cost, long cycle time, and inaccessibility in traditional experimental teaching, which is far-reaching for talent training. This study combines bibliometric visualization theory with AHP (Analytic Hierarchy Process). It establishes a hierarchical evaluation model of a virtual simulation experimental teaching platform based on 842 questionnaires and 4787 articles, including 68,306 citation record…
Effect of the N-hexanoyl-L-homoserine Lactone on the Carbon Fixation Capacity of the Algae–Bacteria System
Algae-bacteria systems are used widely in wastewater treatment. N-hexanoyl-L-homoserine lactone (AHL) plays an important role in algal-bacteria communication. However, little study has been conducted on the ability of AHLs to regulate algal metabolism and the carbon fixation ability, especially in algae-bacteria system. In this study, we used the Microcystis aeruginosa + Staphylococcus ureilyticus strain as a algae-bacteria system. The results sh…
Preparation and characterization of dialdehyde cellulose nanocrystals from the waste nutshell
Environmental decentralisation, environmental regulation, and agricultural carbon intensity: An empirical study based on Chinese provincial panel data
FDGNN: Feature-Aware Disentangled Graph Neural Network for Recommendation
Collaborative filtering (CF) is dedicated to learning the representations of users and items based on interactive data. Regrettably, the lack of fine-grained modeling of interactive motivation makes the model less interpretable. A feasible solution is to combine the disentangling idea with the graph neural network (GNN) and capture different types of interaction relationships by using a message propagation mechanism on the graph of user–item inte…
An Efficient Rumor Suppression Approach With Knowledge Graph Convolutional Network in Social Network
Social networks currently serve as one of the primary sources from which people obtain news, with the spread of rumors emerging as a major concern. The goal of rumor suppression is to minimize the number of individuals affected by rumors through various methods, such as blocking and disseminating the truth. Although this problem has evolved into a popular research topic, existing solutions often overlook the temporal impact of rumor-refuting info…
The association between accelerated biological aging and the risk of osteoarthritis: A cross-sectional study
Background Biological age (BA) offers an effective assessment of true aging state. The progression of Osteoarthritis (OA) is closely associated with an increase in chronological age, the correlation between BA and OA has not been fully elucidated. Methods This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Thirteen commonly used clinical traits were employed to calculate two measures of BA: the K…
Associations between accelerometer-measured physical activity and sedentary behaviour with physical function among older women: A cross-sectional study
A significant association was observed between poorer lower limb function and prolonged, uninterrupted SB in older women, rather than with the total SB time. Concurrently, the insufficient engagement in MVPA may also be a crucial factor contributing to poorer PF in older women. Engaging in longer durations and higher intensity of PA, such as bouts of MVPA lasting a minimum of 10 min or longer, may contribute to better PF
Computer Science (14 works) · Medicine (14 works) · Artificial Intelligence (10 works) · Geography (10 works) · Mathematics (10 works) · China (9 works) · Economics (9 works) · Complex Network Analysis Techniques (8 works) · Environmental health (7 works) · Business (6 works)