Jian Lu
Biographic Data
| ID | 3925592 |
|---|---|
| NAME | Jian Lu |
| GIVEN NAMES | Jian |
| FAMILY NAME | Lu |
| SIGNATURE | LU J |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0002-8473-9296 |
| VERIFIED | Yes |
| TOTAL WORKS | 33 |
| TOTAL CITATIONS | 30 |
| AUTHOR COUNT | 33 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
The applicability of the new media platform “Urological Surgery Learning Notes” in continuing medical education for urologists
“Top-Down Communitarianism”
Across China, citizens are increasingly governed through point systems that quantify everyday behaviour. Using a mixed-methods design combining analysis of 122 state media reports with village-level fieldwork near Beijing, we ask what forms of conduct these systems define as ‘good’ and how they are implemented in practice. Despite variation in policy terminology and institutional sponsors, point systems converge on a shared moral core emphasising…
Unveiling multiscale and nonlinear effects of land use change drivers through interpretable machine learning model
Analysis of nursing staff job satisfaction and its influencing factors
Background Nurses’ job satisfaction directly impacts their attitudes and efficiency at work. This study aimed to identify the factors influencing job satisfaction among nursing professionals in China. Methods This cross-sectional study utilized an online questionnaire to assess the job satisfaction, work conditions, and sociodemographic characteristics of nursing professionals in China. Data were analyzed using descriptive statistics, chi-square …
Patients, healthcare providers, and general population preferences for hemodialysis vascular access
Background: A patient-centered dialysis treatment option requires an understanding of patient preferences for alternative vascular accesses and nephrologists often face difficulties when recommending vascular access to end-stage kidney disease (ESKD) patients. We aimed to quantify the relative importance of various vascular access characteristics to patients, healthcare providers and general population, and how they affect acceptability for patie…
Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity
Vehicle detection is an important part of modern intelligent transportation systems. At present, complex deep learning algorithms are often used for vehicle detection and tracking, but high-precision detection results are often obtained at the cost of time, and the existing research rarely considers optimization algorithms for vehicle information. Based on this, we propose an efficient method for vehicle detection in multi-graph mode and optimiza…
Understanding the relationship between early life adversity and depressive symptoms
More high-impact atmospheric river-induced extreme precipitation events under warming in a high-resolution model
ICT Use and Entrepreneurial Mobilization of Chinese Grassroots Activists in and beyond Cyberspace
While prevailing scholarship commonly asserts that information and communication technologies (ICTs) significantly facilitate mass mobilization, a growing body of literature questions the mobilization potential of technologies alone. This literature proposes that ICTs might redirect offline participation by promoting low-risk and low-cost online collective actions, especially in the absence of linkage between offline and online tactics. In the co…
Natural Embeddedness, Place Attachment, and Local Opposition to Developmental Projects
This article aims to uncover the underlying social and institutional origins of China’s local preemptive environmental protests against developmental projects with negative externalities, which have not been fully investigated by the extant literature on “NIMBY” (“not-in-my-backyard”) activism in China. Primarily through the perspective of Karl Polanyi’s environmental sociology, this article presents a case study of the 2012 protest in Qidong, Ji…
Organisational Learning, Environmental NGOs, and Policy Advocacy in China
While previous studies have mainly emphasised the role of structural factors in explaining how and why Chinese environmental NGOs (ENGOs) have become more engaged in policy advocacy since the early 2000s, this study offers an alternative perspective on these dynamics by adopting an organisational learning framework. Through in-depth case studies, we identify the production and application of knowledge – specifically regarding the significance, vi…
Growing Software
Greetings and welcome to the third issue of IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (TCSS) for 2023. The authors are delighted to share some exciting news with our esteemed readership
Modelling Bottlenecks of Bike-Sharing Travel Using the Distinction between Endogenous and Exogenous Demand
This paper aims to investigate the internal mechanisms of bottlenecks in bike-sharing travel. We perform kernel density analysis to obtain analysis points and areas designated by buffer areas. Additionally, we improve the spatial lag model through Tobit regression, so as to avoid the interference of autocorrelation and to set reasonable constraints for dependent variables. The proposed model distinguishes between bike-sharing demand determined by…
What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys
Alliance Building among Environmental Nongovernmental Organizations in China
Despite the Chinese state’s long-standing wariness of strong horizontal linkages among nongovernment organizations (NGOs) and a deteriorating political climate for civil society activism, cross-regional alliances among NGOs have become a persistent phenomenon in recent years. This article draws on the case of the Zero Waste Alliance—a nationwide coalition of environmental NGOs engaged in waste-related matters—to identify structural conditions tha…
Risky Driver Recognition with Class Imbalance Data and Automated Machine Learning Framework
Identifying high-risk drivers before an accident happens is necessary for traffic accident control and prevention. Due to the class-imbalance nature of driving data, high-risk samples as the minority class are usually ill-treated by standard classification algorithms. Instead of applying preset sampling or cost-sensitive learning, this paper proposes a novel automated machine learning framework that simultaneously and automatically searches for t…
An OD Flow Clustering Method Based on Vector Constraints
Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes. The existing flow clustering methods are limited by the spatial constraints of OD points, rely on the spatial similarity of geographical points, and lack in-depth analysis of high-dimensional fl…
Pedestrian Evacuation Risk Assessment of Subway Station under Large-Scale Sport Activity
Pedestrian evacuation risk of subway stations is an important concern in city management, as it not only endangers public safety but also affects the efficiency of urban subway transportation. Determination of how to effectively evaluate the pedestrian evacuation risk of subway stations is of great significance to improve pedestrian safety. Previous studies about the pedestrian evacuation of subway station were primarily focused on pedestrian mov…
Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel
The impact that trucks have on crash severity has long been a concern in crash analysis literature. Furthermore, if a truck crash happens in a tunnel, this would result in more serious casualties due to closure and the complexity of the tunnel. However, no studies have been reported to analyze traffic crashes that happened in tunnels and develop crash databases and statistical models to explore the influence of contributing factors on tunnel truc…
Analysis Factors That Influence Escalator-Related Injuries in Metro Stations Based on Bayesian Networks
Escalator-related injuries have become an important issue in daily metro operation. To reduce the probability and severity of escalator-related injuries, this study conducted a probability and severity analysis of escalator-related injuries by using a Bayesian network to identify the risk factors that affect the escalator safety in metro stations. The Bayesian network structure was constructed based on expert knowledge and Dempster-Shafer evidenc…
Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China
With the increasing demand of hazardous material (Hazmat), traffic accidents occurred frequently during Hazmat transportation, which had caused widespread concern in communities. Therefore, a good understanding of Hazmat transportation accident characteristics and contributing factors is of practical importance. In this study, 1721 Hazmat accidents that have occurred during road transportation for the period 2014-2017 in China were examined, and …
Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China
Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers
Intoxicated driving is a threat to both drivers and other road users. Exploring the association between intoxicated driving factors and traffic crashes is essential for taking effective countermeasures. Most previous works have studied the relation between intoxicated driving and traffic crash based on some large-sized cities. The current study aims to evaluate the effect of driving factors on traffic crashes among intoxicated drivers in a small-…
Culture versus the State? The “Defend-My-Mother-Tongue” Protests in Guangzhou
In July and August 2010, a series of spontaneous “defend-my-mother-tongue” protests took place in Guangzhou. At its climax, thousands of protestors took to the streets to oppose a government proposal to switch local television broadcasts from Cantonese to Mandarin. Unlike other recent mass incidents in China, the “Defend Cantonese” protests mainly involved a place-based identity politics through which participants purported to support maintenance…
Impacts of urban built environment on empty taxi trips using limited geolocation data
Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China
Alliance Building among Environmental Nongovernmental Organizations in China
Despite the Chinese state’s long-standing wariness of strong horizontal linkages among nongovernment organizations (NGOs) and a deteriorating political climate for civil society activism, cross-regional alliances among NGOs have become a persistent phenomenon in recent years. This article draws on the case of the Zero Waste Alliance—a nationwide coalition of environmental NGOs engaged in waste-related matters—to identify structural conditions tha…
Culture versus the State? The “Defend-My-Mother-Tongue” Protests in Guangzhou
In July and August 2010, a series of spontaneous “defend-my-mother-tongue” protests took place in Guangzhou. At its climax, thousands of protestors took to the streets to oppose a government proposal to switch local television broadcasts from Cantonese to Mandarin. Unlike other recent mass incidents in China, the “Defend Cantonese” protests mainly involved a place-based identity politics through which participants purported to support maintenance…
Financing Innovation in the Yangtze River Economic Belt
The increasingly large role of financial intermediaries in promoting firms' innovation and internationalization has led to great research interest. China has faced mounting pressure to take entrepreneurial finance and innovation seriously. Little is known about entrepreneurial financiers' activities and performance. Focusing on entrepreneurial financiers' activities in the Yangtze River Economic Belt, this study investigates how they select proje…
Activation of the μ-opiate receptor by Vitex agnus-castus methanol extracts
Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America
How anthropogenic climate change will affect hydroclimate in the arid regions of southwestern North America has implications for the allocation of water resources and the course of regional development. Here we show that there is a broad consensus among climate models that this region will dry in the 21st century and that the transition to a more arid climate should already be under way. If these models are correct, the levels of aridity of the r…
A red clover (Trifolium pratense) phase II clinical extract possesses opiate activity
Pairwise trust inference by subgraph extraction
Subgraph Extraction for Trust Inference in Social Networks
Persistent cold air outbreaks over North America in a warming climate
This study examines future changes of cold air outbreaks (CAOs) using a multi-model ensemble of global climate simulations from the Coupled Model Intercomparison Project Phase 5 and high resolution regional climate simulations. Overall, climate models agree on a dip in CAO duration across North America, but the percentage change is consistently smaller from western Canada to the upper mid-western US with historically more frequent CAO. By decompo…
Prevalence, Awareness, Treatment and Control of Diabetes Mellitus—A Population Based Study in Shanghai, China
In this study, we aimed to investigate the prevalence, awareness, treatment, and control of diabetes in Shanghai, China. A sample of 3600 residents aged from 18 to 80 years selected by a randomized stratified multiple-stage sampling method in Shanghai was investigated, with blood samples collected. Diabetes was defined as fasting plasma glucose (FPG) ≥ 7.0 mmol/L, or glycated haemoglobin (HbA1c) ≥ 6.5% (48 mmol/mol), or previous diagnosis by a ph…
Impacts of urban built environment on empty taxi trips using limited geolocation data
Financing Innovation in the Yangtze River Economic Belt
The increasingly large role of financial intermediaries in promoting firms' innovation and internationalization has led to great research interest. China has faced mounting pressure to take entrepreneurial finance and innovation seriously. Little is known about entrepreneurial financiers' activities and performance. Focusing on entrepreneurial financiers' activities in the Yangtze River Economic Belt, this study investigates how they select proje…
Culture versus the State? The “Defend-My-Mother-Tongue” Protests in Guangzhou
In July and August 2010, a series of spontaneous “defend-my-mother-tongue” protests took place in Guangzhou. At its climax, thousands of protestors took to the streets to oppose a government proposal to switch local television broadcasts from Cantonese to Mandarin. Unlike other recent mass incidents in China, the “Defend Cantonese” protests mainly involved a place-based identity politics through which participants purported to support maintenance…
Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers
Intoxicated driving is a threat to both drivers and other road users. Exploring the association between intoxicated driving factors and traffic crashes is essential for taking effective countermeasures. Most previous works have studied the relation between intoxicated driving and traffic crash based on some large-sized cities. The current study aims to evaluate the effect of driving factors on traffic crashes among intoxicated drivers in a small-…
An OD Flow Clustering Method Based on Vector Constraints
Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes. The existing flow clustering methods are limited by the spatial constraints of OD points, rely on the spatial similarity of geographical points, and lack in-depth analysis of high-dimensional fl…
Pedestrian Evacuation Risk Assessment of Subway Station under Large-Scale Sport Activity
Pedestrian evacuation risk of subway stations is an important concern in city management, as it not only endangers public safety but also affects the efficiency of urban subway transportation. Determination of how to effectively evaluate the pedestrian evacuation risk of subway stations is of great significance to improve pedestrian safety. Previous studies about the pedestrian evacuation of subway station were primarily focused on pedestrian mov…
Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel
The impact that trucks have on crash severity has long been a concern in crash analysis literature. Furthermore, if a truck crash happens in a tunnel, this would result in more serious casualties due to closure and the complexity of the tunnel. However, no studies have been reported to analyze traffic crashes that happened in tunnels and develop crash databases and statistical models to explore the influence of contributing factors on tunnel truc…
Analysis Factors That Influence Escalator-Related Injuries in Metro Stations Based on Bayesian Networks
Escalator-related injuries have become an important issue in daily metro operation. To reduce the probability and severity of escalator-related injuries, this study conducted a probability and severity analysis of escalator-related injuries by using a Bayesian network to identify the risk factors that affect the escalator safety in metro stations. The Bayesian network structure was constructed based on expert knowledge and Dempster-Shafer evidenc…
Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China
With the increasing demand of hazardous material (Hazmat), traffic accidents occurred frequently during Hazmat transportation, which had caused widespread concern in communities. Therefore, a good understanding of Hazmat transportation accident characteristics and contributing factors is of practical importance. In this study, 1721 Hazmat accidents that have occurred during road transportation for the period 2014-2017 in China were examined, and …
Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China
Risky Driver Recognition with Class Imbalance Data and Automated Machine Learning Framework
Identifying high-risk drivers before an accident happens is necessary for traffic accident control and prevention. Due to the class-imbalance nature of driving data, high-risk samples as the minority class are usually ill-treated by standard classification algorithms. Instead of applying preset sampling or cost-sensitive learning, this paper proposes a novel automated machine learning framework that simultaneously and automatically searches for t…
Modelling Bottlenecks of Bike-Sharing Travel Using the Distinction between Endogenous and Exogenous Demand
This paper aims to investigate the internal mechanisms of bottlenecks in bike-sharing travel. We perform kernel density analysis to obtain analysis points and areas designated by buffer areas. Additionally, we improve the spatial lag model through Tobit regression, so as to avoid the interference of autocorrelation and to set reasonable constraints for dependent variables. The proposed model distinguishes between bike-sharing demand determined by…
What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys
Alliance Building among Environmental Nongovernmental Organizations in China
Despite the Chinese state’s long-standing wariness of strong horizontal linkages among nongovernment organizations (NGOs) and a deteriorating political climate for civil society activism, cross-regional alliances among NGOs have become a persistent phenomenon in recent years. This article draws on the case of the Zero Waste Alliance—a nationwide coalition of environmental NGOs engaged in waste-related matters—to identify structural conditions tha…
Growing Software
Greetings and welcome to the third issue of IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (TCSS) for 2023. The authors are delighted to share some exciting news with our esteemed readership
Patients, healthcare providers, and general population preferences for hemodialysis vascular access
Background: A patient-centered dialysis treatment option requires an understanding of patient preferences for alternative vascular accesses and nephrologists often face difficulties when recommending vascular access to end-stage kidney disease (ESKD) patients. We aimed to quantify the relative importance of various vascular access characteristics to patients, healthcare providers and general population, and how they affect acceptability for patie…
Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity
Vehicle detection is an important part of modern intelligent transportation systems. At present, complex deep learning algorithms are often used for vehicle detection and tracking, but high-precision detection results are often obtained at the cost of time, and the existing research rarely considers optimization algorithms for vehicle information. Based on this, we propose an efficient method for vehicle detection in multi-graph mode and optimiza…
Understanding the relationship between early life adversity and depressive symptoms
Computer Science (15 works) · Engineering (10 works) · Geography (10 works) · Medicine (10 works) · China (9 works) · Transport engineering (9 works) · Environmental health (7 works) · Traffic and Road Safety (7 works) · Environmental Science (6 works) · Sociology (6 works)