Ting Liang
Biographic Data
| ID | 5978326 |
|---|---|
| NAME | Ting Liang |
| GIVEN NAMES | Ting |
| FAMILY NAME | Liang |
| SIGNATURE | LIANG T |
| AFFILIATIONS | Hunan University |
| ORCID | 0000-0003-3783-4191 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A machine learning approach with SHAP interpretability for classifying drug craving levels
Background: Drug addiction is a chronic relapsing brain disease. Drug craving is the strongest independent predictor of relapse. However, traditional linear models often fail to capture complex non-linear addiction patterns. Although machine learning (ML) demonstrates superior performance, its "black-box" nature limits clinical credibility. Objective: This study aimed to construct a classification model for drug craving scores based on ML and exp…
An Interdisciplinary Method of Applying AI ‐Empowered Chatbots in Chinese Quatrains' Learning for Chinese Young Pupils
The impact of temperature changes on the health vulnerability of migrant workers
Introduction: Migrant workers constitute a significant portion of China's workforce, and their health directly affects labor supply and economic stability. Health vulnerability plays a crucial role in shaping the well-being of migrant workers, yet its determinants, particularly the impact of temperature change, remain underexplored. This study, based on the socio-ecological model, investigates how temperature variations influence the health vulne…
A longitudinal study into the effects of material incentives on knowledge-sharing networks and information lifecycles in an online forum
The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users’ interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural year, the interaction data from 18,079 main posts and 326,024 replies were coded using social network…
Does technological innovation benefit energy firms’ environmental performance? The moderating effect of government subsidies and media coverage
The group-reference effect and soldiers’ recognition memory
Previous research has consistently found that the self-reference effect (SRE) is equal to, or stronger than, the group-reference effect (GRE) for memory performance. The military strongly emphasises group identity; this study investigated whether the GRE was stronger than the SRE for soldiers. Soldiers were recruited to participate in Experiments 1 and Experiment 2. Experiment 1 revealed that recognition was better under the group-reference condi…
Favored outgroup can eliminate the ingroup reference effect
Studies have found that, consistent with the ingroup favoritism effect, the recollection of ingroup related information is better than that of outgroup related information. This study explores whether preferred outgroup can eliminate the ingroup reference effect. Using the university as the reference group, Experiment 1 was designed to verify the group reference effect when there was no outgroup favoritism, and Experiment 2 examined the impact of…
A Pattern Categorization of CT Findings to Predict Outcome of Covid-19 Pneumonia
Background As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia. Methods 165 patients with COVID-19 (91 men, 4-89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pa…
Effect of the Miaoyao Fanggan sachet-derived isorhamnetin on TLR2/4 and NKp46 expression in mice
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Effect of the Miaoyao Fanggan sachet-derived isorhamnetin on TLR2/4 and NKp46 expression in mice
A Pattern Categorization of CT Findings to Predict Outcome of Covid-19 Pneumonia
Background As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia. Methods 165 patients with COVID-19 (91 men, 4-89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pa…
The group-reference effect and soldiers’ recognition memory
Previous research has consistently found that the self-reference effect (SRE) is equal to, or stronger than, the group-reference effect (GRE) for memory performance. The military strongly emphasises group identity; this study investigated whether the GRE was stronger than the SRE for soldiers. Soldiers were recruited to participate in Experiments 1 and Experiment 2. Experiment 1 revealed that recognition was better under the group-reference condi…
Favored outgroup can eliminate the ingroup reference effect
Studies have found that, consistent with the ingroup favoritism effect, the recollection of ingroup related information is better than that of outgroup related information. This study explores whether preferred outgroup can eliminate the ingroup reference effect. Using the university as the reference group, Experiment 1 was designed to verify the group reference effect when there was no outgroup favoritism, and Experiment 2 examined the impact of…
Does technological innovation benefit energy firms’ environmental performance? The moderating effect of government subsidies and media coverage
A longitudinal study into the effects of material incentives on knowledge-sharing networks and information lifecycles in an online forum
The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users’ interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural year, the interaction data from 18,079 main posts and 326,024 replies were coded using social network…
The impact of temperature changes on the health vulnerability of migrant workers
Introduction: Migrant workers constitute a significant portion of China's workforce, and their health directly affects labor supply and economic stability. Health vulnerability plays a crucial role in shaping the well-being of migrant workers, yet its determinants, particularly the impact of temperature change, remain underexplored. This study, based on the socio-ecological model, investigates how temperature variations influence the health vulne…
A machine learning approach with SHAP interpretability for classifying drug craving levels
Background: Drug addiction is a chronic relapsing brain disease. Drug craving is the strongest independent predictor of relapse. However, traditional linear models often fail to capture complex non-linear addiction patterns. Although machine learning (ML) demonstrates superior performance, its "black-box" nature limits clinical credibility. Objective: This study aimed to construct a classification model for drug craving scores based on ML and exp…
An Interdisciplinary Method of Applying AI ‐Empowered Chatbots in Chinese Quatrains' Learning for Chinese Young Pupils
Economics (3 works) · Medicine (3 works) · Business (2 works) · Computer Science (2 works) · Panel data (2 works) · Psychology (2 works) · Addiction (1 works) · Advanced Technologies in Various Fields (1 works) · AI in Service Interactions (1 works) · Anesthesia (1 works)