Liming Jiang
Biographic Data
| ID | 8210201 |
|---|---|
| NAME | Liming Jiang |
| GIVEN NAMES | Liming |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG L |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0001-6464-2326 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unraveling ecosystem service value dynamics for sustainable mountain management
Sustainable environmental planning in spatially heterogeneous mountainous regions requires a deep understanding of how ecosystem service values (ESV) respond to future climate and socioeconomic uncertainties. This study introduces a scenario-driven framework that couples land use simulation with interpretable machine learning to capture spatiotemporal ESV dynamics. It is applied to Sichuan Province, China, a region with complex topography and div…
AI as a partner in assessment
Situational Judgment Tests (SJTs) are important tools for evaluating individual abilities by presenting specific scenarios and assessing the responses. This study explores the potential of Large Language Models (LLMs) in developing SJTs, with emotional regulation as an example. We proposed and evaluated two approaches using ERNIE 4.0, an advanced Chinese LLM: generating new items from scratch (Approach 1) and adapting items from existing examples…
Evaluating the Critical Thinking of Large Language Models
Integrating artificial intelligence, particularly large language models, in academic writing has significantly enhanced productivity and content quality. However, effective academic writing fundamentally relies on critical thinking, which is essential for constructing persuasive arguments and identifying flaws. This study assessed the critical thinking abilities of GPT-3.5, GPT-4, LLaMA-4, and DeepSeek-R1 by using two primary tests—the multiple-c…
How grit influences high school students’ academic performance and the mediation effect of academic self-efficacy and cognitive learning strategies
Requesting a commitment in school teachers to teach in unprecedented ways
The necessity for the development and enhancement of teacher commitment to satisfying students' learning needs in response to the COVID crisis is increasingly highlighted. It is not known, however, how to increase commitment in schoolteachers to boost online teaching in light of the fact that they, too, are struggling to cope with the rapid, unexpected change. A total of 601 teachers from primary and secondary schools across China participated in…
Individualized assessment of risk and overall survival in patients newly diagnosed with primary osseous spinal neoplasms with synchronous distant metastasis
Background: The prognosis of patients with primary osseous spinal neoplasms (POSNs) presented with distant metastases (DMs) is still poor. This study aimed to evaluate the independent risk and prognostic factors in this population and then develop two web-based models to predict the probability of DM in patients with POSNs and the overall survival (OS) rate of patients with DM. Methods: The data of patients with POSNs diagnosed between 2004 and 2…
Clinical Characteristics, Prognostic Factor and a Novel Dynamic Prediction Model for Overall Survival of Elderly Patients With Chondrosarcoma
Background Chondrosarcoma is the most common primary bone sarcoma among elderly population. This study aims to explore independent prognostic factors and develop prediction model in elderly patients with CHS. Methods This study retrospectively analyzed the clinical data of elderly patients diagnosed as CHS between 2004 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. We randomly divided enrolled patients into trainin…
Ground‐Based Radar
Ground‐based radar defined in this entry specifically refers to a ground‐based synthetic aperture radar (GBSAR). It is an effective remote sensing tool to measure topography and deformation of natural and artificial surfaces by using interferometric techniques. GBSAR interferometry has several unique advantages over other terrestrial remote sensing techniques, highlighted by (i) high acquisition frequency of a few minutes, (ii) large monitoring e…
No prominent works on this page.
Ground‐Based Radar
Ground‐based radar defined in this entry specifically refers to a ground‐based synthetic aperture radar (GBSAR). It is an effective remote sensing tool to measure topography and deformation of natural and artificial surfaces by using interferometric techniques. GBSAR interferometry has several unique advantages over other terrestrial remote sensing techniques, highlighted by (i) high acquisition frequency of a few minutes, (ii) large monitoring e…
Individualized assessment of risk and overall survival in patients newly diagnosed with primary osseous spinal neoplasms with synchronous distant metastasis
Background: The prognosis of patients with primary osseous spinal neoplasms (POSNs) presented with distant metastases (DMs) is still poor. This study aimed to evaluate the independent risk and prognostic factors in this population and then develop two web-based models to predict the probability of DM in patients with POSNs and the overall survival (OS) rate of patients with DM. Methods: The data of patients with POSNs diagnosed between 2004 and 2…
Clinical Characteristics, Prognostic Factor and a Novel Dynamic Prediction Model for Overall Survival of Elderly Patients With Chondrosarcoma
Background Chondrosarcoma is the most common primary bone sarcoma among elderly population. This study aims to explore independent prognostic factors and develop prediction model in elderly patients with CHS. Methods This study retrospectively analyzed the clinical data of elderly patients diagnosed as CHS between 2004 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. We randomly divided enrolled patients into trainin…
How grit influences high school students’ academic performance and the mediation effect of academic self-efficacy and cognitive learning strategies
Requesting a commitment in school teachers to teach in unprecedented ways
The necessity for the development and enhancement of teacher commitment to satisfying students' learning needs in response to the COVID crisis is increasingly highlighted. It is not known, however, how to increase commitment in schoolteachers to boost online teaching in light of the fact that they, too, are struggling to cope with the rapid, unexpected change. A total of 601 teachers from primary and secondary schools across China participated in…
AI as a partner in assessment
Situational Judgment Tests (SJTs) are important tools for evaluating individual abilities by presenting specific scenarios and assessing the responses. This study explores the potential of Large Language Models (LLMs) in developing SJTs, with emotional regulation as an example. We proposed and evaluated two approaches using ERNIE 4.0, an advanced Chinese LLM: generating new items from scratch (Approach 1) and adapting items from existing examples…
Evaluating the Critical Thinking of Large Language Models
Integrating artificial intelligence, particularly large language models, in academic writing has significantly enhanced productivity and content quality. However, effective academic writing fundamentally relies on critical thinking, which is essential for constructing persuasive arguments and identifying flaws. This study assessed the critical thinking abilities of GPT-3.5, GPT-4, LLaMA-4, and DeepSeek-R1 by using two primary tests—the multiple-c…
Unraveling ecosystem service value dynamics for sustainable mountain management
Sustainable environmental planning in spatially heterogeneous mountainous regions requires a deep understanding of how ecosystem service values (ESV) respond to future climate and socioeconomic uncertainties. This study introduces a scenario-driven framework that couples land use simulation with interpretable machine learning to capture spatiotemporal ESV dynamics. It is applied to Sichuan Province, China, a region with complex topography and div…
Computer Science (3 works) · Cognition (2 works) · Internal Medicine (2 works) · Mathematics education (2 works) · Medicine (2 works) · Oncology (2 works) · Population (2 works) · Proportional hazards model (2 works) · Psychology (2 works) · Sarcoma Diagnosis and Treatment (2 works)