Ling Zhao
Biographic Data
| ID | 3798333 |
|---|---|
| NAME | Ling Zhao |
| GIVEN NAMES | Ling |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO L |
| AFFILIATIONS | Huazhong University of Science and Technology |
| ORCID | 0000-0002-9536-4442 |
| VERIFIED | Yes |
| TOTAL WORKS | 37 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 37 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1944 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
View on Life: The Mechanism of Traditional Chinese Medicine in Treating Lung Diseases by Treating the Large Intestine
The disruption of gut microbiota and excessive immune responses are commonly observed in various respiratory conditions, including Corona virus disease 2019 (COVID-19). As supported by the theories of “treating the lung diseases from the large intestine (从肠治肺)” and “simultaneous treatment of lung and large intestine (肺肠同治)”, TCM (traditional Chinese medicine) has made significant contributions to the management of pneumonia, acute respiratory dis…
The impact of a decision tree–based BOPPPS blended teaching model on cognitive performance in clinical epidemiology
Background The BOPPPS (Bridge-in, Objectives, Pre-assessment, Participatory learning, Post-assessment, and Summary) blended teaching model has been increasingly applied in medical education; however, evidence regarding its impact on cognitive performance and the underlying influencing factors remains limited. We hypothesized that the blended teaching model based on BOPPPS can effectively enhance students’ cognitive performance, and conduct resear…
Using eye tracking to explore differences and influencing factors of map reading ability in different problem situation among high school students
Inter-relationships of depression and anxiety symptoms among widowed and non-widowed older adults: Findings from the Chinese Longitudinal Healthy Longevity Survey based on network analysis and propens…
Background: Depression and anxiety are prevalent mental health issues among older adult widowed adults. However, the symptom-level relationships between these conditions remain unclear. Due to the high correlations and complex relationships among various symptoms, this study employs network analysis to explore differences in the network structures of depression and anxiety symptoms between widowed and non-widowed older adults. Methods: Propensity…
Knowledge, attitude, and practice of cardiovascular disease prevention among patients with type 2 diabetes and/or overweight or obesity
Introduction Cardiovascular diseases (CVDs), encompassing various disorders of the heart and blood vessels, remain a major challenge to global health. From 1990 to 2019, the number of people suffering from CVDs worldwide surged from 270 million to 523 million. This study aimed to investigate the levels of knowledge, attitude, and practice (KAP) toward cardiovascular disease prevention among patients with type 2 diabetes and/or overweight or obesi…
Research on the Impact of Diverse Trust Among Rural Elderly on their Health Status
By referring to Welter’s classification method of “three-point construction” of trust, this paper divides rural older adult trust into three categories: institutional trust, social trust, and emotional trust, discusses the influence of different types of trust on the health status of rural older adults, and reveals the mediating role of active use behavior in the process of trust affecting the health status of rural older adults. The hierarchical…
Assessment of Tourism Green Development Based on Integrated Multi-Attribute Framework: A Case Study of Zhejiang Province
The purpose of this study is to effectively establish an evaluation framework for green development in the tourism industry. A novel evaluation index system for green tourism development based on “society-economy-environment” that incorporates environmental protection values is constructed firstly. Subsequently, a comprehensive assessment framework was established using a combination of entropy weight and Complex Proportional Assessment (COPRAS) …
New inequality in equality: An empirical study on the effects of device and physical environment appropriateness divide on E-learning outcomes
The relationship between frailty in older adults and anxiety and depression in china: Propensity score matching and network analysis
NCT results showed no significant difference in the network structure of anxiety and depression between frail elderly and control groups. A slight decrease in network strength was observed in non-frail elderly but was not statistically significant. Both groups showed similar characteristics in bridging symptoms, central symptoms, overall strength, and network structure. Interventions for anxiety and depression are equally beneficial for both frai…
Knowledge, attitudes, and practices of liver cancer screening among high-risk populations in China
This study reveals significant knowledge deficits regarding liver cancer screening among high-risk populations in China, which correlates with their attitudes and screening practices. These findings emphasize the need for targeted educational programs to enhance knowledge and improve screening participation among high-risk populations
How Users' Personality Traits Predict Sentiment Tendencies of User‐Generated Content in Social Media: A Mixed Method of Configuration Analysis and Machine Learning
OBJECTIVE: Social media content created by users with different personality traits presents various sentiment tendencies, easily leading to irrational public opinion. This study aims to explore the relationships between users' personality traits and sentiment tendencies of user-generated content (UGC). METHOD: We crawled 18,686 tweets of 1, 215 users from Twitter to figure out the relationships between personality traits and sentiment tendencies.…
Effective reporting system to encourage users’ reporting behavior in social media platforms: An empirical study based on structural empowerment theory
Reporting systems are gradually gaining attention as a mechanism for users to engage in platform content governance, such as reporting problematic content in terms of misinformation or misbehaviors. However, there is little research on how a reporting system can be effectively designed to facilitate users’ reports. This study presents a model that is grounded in structural empowerment theory and the Stimulus-Organism-Response (S-O-R) framework to…
Machine Learning Algorithms for the Diagnosis of Class III Malocclusions in Children
Our findings suggest that ML models based on cephalometric data could effectively assist dentists to classify dental, functional and skeletal Class III malocclusions in children. In addition, features such as SN_GoMe, U1_NA and Overjet can as important indicators for predicting the severity of Class III malocclusions
Echinacoside inhibits colorectal cancer metastasis via modulating the gut microbiota and suppressing the PI3K/AKT signaling pathway
Tong-Xie-Yao-Fang strengthens intestinal feedback control of bile acid synthesis to ameliorate irritable bowel syndrome by enhancing bile salt hydrolase-expressing microbiota
Gender plays different roles? Examining the dark side of ubiquitous connectivity enabled by personal IT ensembles usage
Purpose The purpose of this paper is twofold: first, to explore the negative consequences of ubiquitous connectivity enabled by personal IT ensembles (PITEs) usage; and second, to investigate the gender differences in the adverse effects of ubiquitous connectivity. Design/methodology/approach This study employs a socio-technical approach to identify the technical and interpersonal dimensions of PITE-enabled ubiquitous connectivity and develops a …
The Role of Slurry Reflux in a Corn Stalk Continuous Anaerobic Digestion System: Performance and Microbial Community
Slurry reflux is a low-cost slurry reduction technology, which can solve the problem that a large amount of slurry cannot be completely consumed in a biogas plant. Anaerobic digestion (AD) of corn stalks with slurry reflux and non-reflux was compared and evaluated in continuous anaerobic digestion to clarify the effects of slurry reflux on AD with organic loading rate (OLR) variation. It was found that slurry reflux increased cumulative methane p…
Exploring Faculty Perceptions of Outsourced Professional Development for Online Teaching and Learning
Determinants of the digital outcome divide in E-learning between rural and urban students: Empirical evidence from the Covid-19 pandemic based on capital theory
Sanhuang xiexin decoction ameliorates secondary liver injury in DSS-induced colitis involve regulating inflammation and bile acid metabolism
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
The city landscape is largely related to the design concept and aesthetics of planners. Influenced by globalization, planners and architects have borrowed from available designs, resulting in the “one city with a thousand faces” phenomenon. In order to create a unique urban landscape, they need to focus on local urban characteristics while learning new knowledge. Therefore, it is particularly important to explore the characteristics of cities’ la…
A3t-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In the spatial dimension, due to the connectivity of the road network, the traffic flows between linked roads are closely related. In the temporal dimension, although there exists a tendency among ad…
Trialing or combining? Understanding consumer partial switching in mobile application usage from the variety seeking perspective
Purpose The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors. Design/methodology/approach This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of va…
Ethnobotanical study on herbal market at the Dragon Boat Festival of Chuanqing people in China
Background The Chuanqing people (穿青人) are a linguistic group native to the Guizhou Province of China, with unique culture and rich knowledge of traditional medicinal plants. Herbal market at Dragon Boat Festival (DBF) plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing people. This study aims to record the profile of medicinal plants of the Chuanqing people, discuss the dilemmas faced by their inherit…
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered an “open” scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time. To capture the spatial and temporal dependences simultane…
Ethnobotanical study on herbal market at the Dragon Boat Festival of Chuanqing people in China
Background The Chuanqing people (穿青人) are a linguistic group native to the Guizhou Province of China, with unique culture and rich knowledge of traditional medicinal plants. Herbal market at Dragon Boat Festival (DBF) plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing people. This study aims to record the profile of medicinal plants of the Chuanqing people, discuss the dilemmas faced by their inherit…
Les municipalités indiennes en Nouvelle Espagne. 1520-1620
The high incidence of various soil-borne diseases in the monoculture field of peanut is a major production constraint in the red soil regions of southern China. The peanut root exudates are generally thought to play an important role in regulating soil-borne pathogens. The responses of the soil-borne pathogens, Fusarium oxysporum and F. solani to the peanut root exudates were studied using one susceptible cultivar Ganhua-5 (GH) and one mid-resist…
Effects on the expression of Gabaa receptor subunits by jujuboside A treatment in rat hippocampal neurons
Major inducing factors of hypertensive complications and the interventions required to reduce their prevalence: An epidemiological study of hypertension in a rural population in China
The present study suggested that the NRCMS needs to be reformed to concentrate on early intervention in hypertension and to concentrate on women. To increase hypertension control in rural areas in China, compound products containing effective and inexpensive drugs (and not multidrug therapy) are needed
Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective
Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
Rapid-resolution liquid chromatography TOF-MS for urine metabolomic analysis of collagen-induced arthritis in rats and its applications
What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences
Detecting hotspots of urban residents’ behaviours based on spatio-temporal clustering techniques
Inflammatory responses and inflammation-associated diseases in organs
// Linlin Chen 1, * , Huidan Deng 1, * , Hengmin Cui 1, 2 , Jing Fang 1, 2 , Zhicai Zuo 1, 2 , Junliang Deng 1, 2 , Yinglun Li 1, 2 , Xun Wang 1, 2 and Ling Zhao 1, 2 1 College of Veterinary Medicine, Sichuan Agricultural University, Wenjiang, Chengdu 611130, China 2 Key Laboratory of Animal Diseases and Environmental Hazards of Sichuan Province, Sichuan Agriculture University, Wenjiang, Chengdu 611130, China * These authors contributed equally t…
Coordinated Optimization: Marine Oil Spill Emergency Management in China
Marine environmental emergency management is featured with multiple participants and complex interactions between and among various sectors. It needs a coordinated mechanism to settle the complicated cooperation and allocation of personnel and resources in an effective and efficient way. In China, the government emergency response system runs according to the classification of types, levels and stages for the emergency issues. The main players of…
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered an “open” scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time. To capture the spatial and temporal dependences simultane…
Health-related quality of life and its influencing factors in Chinese with knee osteoarthritis
Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning
The city landscape is largely related to the design concept and aesthetics of planners. Influenced by globalization, planners and architects have borrowed from available designs, resulting in the “one city with a thousand faces” phenomenon. In order to create a unique urban landscape, they need to focus on local urban characteristics while learning new knowledge. Therefore, it is particularly important to explore the characteristics of cities’ la…
A3t-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In the spatial dimension, due to the connectivity of the road network, the traffic flows between linked roads are closely related. In the temporal dimension, although there exists a tendency among ad…
Trialing or combining? Understanding consumer partial switching in mobile application usage from the variety seeking perspective
Purpose The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors. Design/methodology/approach This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of va…
Ethnobotanical study on herbal market at the Dragon Boat Festival of Chuanqing people in China
Background The Chuanqing people (穿青人) are a linguistic group native to the Guizhou Province of China, with unique culture and rich knowledge of traditional medicinal plants. Herbal market at Dragon Boat Festival (DBF) plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing people. This study aims to record the profile of medicinal plants of the Chuanqing people, discuss the dilemmas faced by their inherit…
Determinants of the digital outcome divide in E-learning between rural and urban students: Empirical evidence from the Covid-19 pandemic based on capital theory
Sanhuang xiexin decoction ameliorates secondary liver injury in DSS-induced colitis involve regulating inflammation and bile acid metabolism
Gender plays different roles? Examining the dark side of ubiquitous connectivity enabled by personal IT ensembles usage
Purpose The purpose of this paper is twofold: first, to explore the negative consequences of ubiquitous connectivity enabled by personal IT ensembles (PITEs) usage; and second, to investigate the gender differences in the adverse effects of ubiquitous connectivity. Design/methodology/approach This study employs a socio-technical approach to identify the technical and interpersonal dimensions of PITE-enabled ubiquitous connectivity and develops a …
The Role of Slurry Reflux in a Corn Stalk Continuous Anaerobic Digestion System: Performance and Microbial Community
Slurry reflux is a low-cost slurry reduction technology, which can solve the problem that a large amount of slurry cannot be completely consumed in a biogas plant. Anaerobic digestion (AD) of corn stalks with slurry reflux and non-reflux was compared and evaluated in continuous anaerobic digestion to clarify the effects of slurry reflux on AD with organic loading rate (OLR) variation. It was found that slurry reflux increased cumulative methane p…
Exploring Faculty Perceptions of Outsourced Professional Development for Online Teaching and Learning
Effective reporting system to encourage users’ reporting behavior in social media platforms: An empirical study based on structural empowerment theory
Reporting systems are gradually gaining attention as a mechanism for users to engage in platform content governance, such as reporting problematic content in terms of misinformation or misbehaviors. However, there is little research on how a reporting system can be effectively designed to facilitate users’ reports. This study presents a model that is grounded in structural empowerment theory and the Stimulus-Organism-Response (S-O-R) framework to…
Machine Learning Algorithms for the Diagnosis of Class III Malocclusions in Children
Our findings suggest that ML models based on cephalometric data could effectively assist dentists to classify dental, functional and skeletal Class III malocclusions in children. In addition, features such as SN_GoMe, U1_NA and Overjet can as important indicators for predicting the severity of Class III malocclusions
Echinacoside inhibits colorectal cancer metastasis via modulating the gut microbiota and suppressing the PI3K/AKT signaling pathway
Medicine (15 works) · Computer Science (14 works) · Psychology (12 works) · Internal Medicine (10 works) · Social Psychology (7 works) · Biology (6 works) · Technology Adoption and User Behaviour (6 works) · Artificial Intelligence (5 works) · Digital Marketing and Social Media (5 works) · Geography (5 works)