Yanwei Wang
Biographic Data
| ID | 5867001 |
|---|---|
| NAME | Yanwei Wang |
| GIVEN NAMES | Yanwei |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing Beijing China |
| ORCID | 0000-0001-6042-3206 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Against omission bias
People prefer choosing omission rather than commission when the risks of negative outcomes are similar, which is known as omission bias. While adults exhibit omission bias in various contexts, whether adolescents exhibit omission bias in decision‐making remains a matter of debate. The present study examined the choice between commission and omission of early‐to‐middle adolescents ( n = 123) and young adults ( n = 131) in a classic vaccination dec…
Evaluation and pathways for achieving agricultural resilience under the framework of climate-smart agriculture
Agriculture faces increasing climate, financial, environmental, and social challenges, which bring into question its ability to withstand shocks and pressures. Strengthening agricultural resilience can effectively address these issues. Reasonably evaluating agricultural resilience and improving it based on climate-smart agriculture practices is particularly important to agricultural sustainability. This research utilized the cloud model and the d…
GeoFAN
The recognition of point patterns in spatial vector data has important applications in geographic mapping and formation recognition. However, the application of traditional methods to spatial vector data faces two difficulties. Firstly, these data are low signal-to-noise ratio data in which the point patterns are mixed with a large number of normal point clusters; thus, it is difficult to recognize point patterns from these unstructured data usin…
Omission Bias in Adolescence
Introduction Humans are more tolerant of omissions than commissions when both cause similar negative outcomes, which is defined as omission bias. Although adults show omission bias in various moral contexts, it remains unclear how omission bias develops from adolescence to early adulthood. The current study aims to examine how adolescents perceive morality, intentionality, and causality of commissions and omissions. Methods We recruited 730 parti…
Building a mine-level database of methane emission factors for China’s underground coal
Methane (CH 4 ) from China’s underground coal mines is a significant warming source and a priority for near-term mitigation. Yet mine-level inventories remain uncertain because publicly available measurements are sparse, outdated, and inconsistent. We assemble a 2011–2023 mine-level database of methane emission factors (EFs) by integrating the national coal-mine gas assessment with provincial disclosures and other sources. We harmonize definition…
The spatiotemporal evolution, peak scenario prediction, and reduction potential assessment of CO2 emissions in China
Demand analysis of telenursing among empty-nest elderly individuals with chronic diseases based on the Kano model
Aim The increase in empty-nest elderly individuals with chronic diseases poses a major challenge to the provision of public health services in China. Telenursing can effectively relieve the pressure of public health services to a certain extent. This study aims to explore the telenursing needs of empty-nest elderly individuals with chronic diseases based on the Kano model to provide references for improving the quality of telenursing. Methods Par…
Medical Image Segmentation Algorithm for Three-Dimensional Multimodal Using Deep Reinforcement Learning and Big Data Analytics
To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D multimodal medical image segmentation algorithm using reinforcement learning and big data analytics is proposed. Bayesian maximum a posteriori estimation method and improved wavelet threshold function are used to design wavelet shrinkage algorithm to re…
Well-Being Reduces Covid-19 Anxiety
The path, value and limits of the Confucius Institute in carrying out public diplomacy
On the basis of Chinese language teaching and cultural communication activities, the Confucius Institute carries out a variety of cultural exchange activities between China and the host country, which has become an effective way for China to carry out public diplomacy and participate in global cultural governance. By analysing the concepts of public diplomacy, cultural diplomacy, people-to-people exchange and cultural governance, this paper summa…
Impacts of cave ventilation on drip water δ13CDIC and its paleoclimate implication
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Impacts of cave ventilation on drip water δ13CDIC and its paleoclimate implication
Well-Being Reduces Covid-19 Anxiety
The path, value and limits of the Confucius Institute in carrying out public diplomacy
On the basis of Chinese language teaching and cultural communication activities, the Confucius Institute carries out a variety of cultural exchange activities between China and the host country, which has become an effective way for China to carry out public diplomacy and participate in global cultural governance. By analysing the concepts of public diplomacy, cultural diplomacy, people-to-people exchange and cultural governance, this paper summa…
Demand analysis of telenursing among empty-nest elderly individuals with chronic diseases based on the Kano model
Aim The increase in empty-nest elderly individuals with chronic diseases poses a major challenge to the provision of public health services in China. Telenursing can effectively relieve the pressure of public health services to a certain extent. This study aims to explore the telenursing needs of empty-nest elderly individuals with chronic diseases based on the Kano model to provide references for improving the quality of telenursing. Methods Par…
Medical Image Segmentation Algorithm for Three-Dimensional Multimodal Using Deep Reinforcement Learning and Big Data Analytics
To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D multimodal medical image segmentation algorithm using reinforcement learning and big data analytics is proposed. Bayesian maximum a posteriori estimation method and improved wavelet threshold function are used to design wavelet shrinkage algorithm to re…
Evaluation and pathways for achieving agricultural resilience under the framework of climate-smart agriculture
Agriculture faces increasing climate, financial, environmental, and social challenges, which bring into question its ability to withstand shocks and pressures. Strengthening agricultural resilience can effectively address these issues. Reasonably evaluating agricultural resilience and improving it based on climate-smart agriculture practices is particularly important to agricultural sustainability. This research utilized the cloud model and the d…
GeoFAN
The recognition of point patterns in spatial vector data has important applications in geographic mapping and formation recognition. However, the application of traditional methods to spatial vector data faces two difficulties. Firstly, these data are low signal-to-noise ratio data in which the point patterns are mixed with a large number of normal point clusters; thus, it is difficult to recognize point patterns from these unstructured data usin…
Omission Bias in Adolescence
Introduction Humans are more tolerant of omissions than commissions when both cause similar negative outcomes, which is defined as omission bias. Although adults show omission bias in various moral contexts, it remains unclear how omission bias develops from adolescence to early adulthood. The current study aims to examine how adolescents perceive morality, intentionality, and causality of commissions and omissions. Methods We recruited 730 parti…
Building a mine-level database of methane emission factors for China’s underground coal
Methane (CH 4 ) from China’s underground coal mines is a significant warming source and a priority for near-term mitigation. Yet mine-level inventories remain uncertain because publicly available measurements are sparse, outdated, and inconsistent. We assemble a 2011–2023 mine-level database of methane emission factors (EFs) by integrating the national coal-mine gas assessment with provincial disclosures and other sources. We harmonize definition…
The spatiotemporal evolution, peak scenario prediction, and reduction potential assessment of CO2 emissions in China
Against omission bias
People prefer choosing omission rather than commission when the risks of negative outcomes are similar, which is known as omission bias. While adults exhibit omission bias in various contexts, whether adolescents exhibit omission bias in decision‐making remains a matter of debate. The present study examined the choice between commission and omission of early‐to‐middle adolescents ( n = 123) and young adults ( n = 131) in a classic vaccination dec…
China (4 works) · Advanced Technologies in Various Fields (2 works) · Artificial Intelligence (2 works) · Atmospheric and Environmental Gas Dynamics (2 works) · Computer Science (2 works) · Corporate governance (2 works) · Ecology (2 works) · Economics (2 works) · Environmental Science (2 works) · Geography (2 works)