Liwen Ren
Biographic Data
| ID | 7291681 |
|---|---|
| NAME | Liwen Ren |
| GIVEN NAMES | Liwen |
| FAMILY NAME | Ren |
| SIGNATURE | REN L |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-4239-088X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting Suicide or Self-Harm Crises Based on Decision Tree Analysis of Life Events and Coping Style
Suicide and self-harm crises among high school students are significant public health issues. Previous research has often focused on individual factors in suicide and self-harm crises, neglecting the complex interactions between multiple factors. This study, based on the diathesis-stress model, utilized survey data of 12,472 Chinese high school students and employed machine learning methods to construct a decision tree model. It analyzed the most…
Attribution of the record-breaking heat event over Northeast Asia in summer 2018
In summer 2018, an extraordinary heat wave with record-breaking high temperatures hit Northeast Asia. However, the contribution of atmospheric circulation to this heat wave remains unknown. In this study, we quantify the contribution of circulation by using the flow analogue method. It is found that Northeast China, Korea and Japan were the most affected areas by the heat event, from daily to monthly timescales. The persistent high temperature wa…
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Attribution of the record-breaking heat event over Northeast Asia in summer 2018
In summer 2018, an extraordinary heat wave with record-breaking high temperatures hit Northeast Asia. However, the contribution of atmospheric circulation to this heat wave remains unknown. In this study, we quantify the contribution of circulation by using the flow analogue method. It is found that Northeast China, Korea and Japan were the most affected areas by the heat event, from daily to monthly timescales. The persistent high temperature wa…
Predicting Suicide or Self-Harm Crises Based on Decision Tree Analysis of Life Events and Coping Style
Suicide and self-harm crises among high school students are significant public health issues. Previous research has often focused on individual factors in suicide and self-harm crises, neglecting the complex interactions between multiple factors. This study, based on the diathesis-stress model, utilized survey data of 12,472 Chinese high school students and employed machine learning methods to construct a decision tree model. It analyzed the most…
Geography (2 works) · Anomaly (physics (1 work) · Anticyclone (1 work) · Atmospheric sciences (1 work) · China (1 work) · Climate change (1 work) · Climate variability and models (1 work) · Climatology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work)