- Carbon Nanotubes in Composites
- Healthcare Systems and Reforms
- Health disparities and outcomes
- Graphene research and applications
- Chinese history and philosophy
- Job Satisfaction and Organizational Behavior
- Religious Studies and Spiritual Practices
- Physical Activity and Education Research
- Global Health Care Issues
- Work-Family Balance Challenges
- COVID-19 epidemiological studies
- Employment and Welfare Studies
- earthquake and tectonic studies
- Remote Sensing and Land Use
- Chronic Disease Management Strategies
- High-pressure geophysics and materials
- Sport and Mega-Event Impacts
- Workaholism, burnout, and well-being
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Misinformation and Its Impacts
- Data-Driven Disease Surveillance
- Global Public Health Policies and Epidemiology
- Higher Education Governance and Development
- COVID-19 Pandemic Impacts
Hunan Children's Hospital
2025
University of South China
2025
Zhejiang Sci-Tech University
2024
Huaihua University
2023-2024
Peking University
2001-2023
Zhejiang University
2023
Chinese Institute for Brain Research
2021-2023
Nanjing Tech University
2023
Hangzhou City University
2023
Tsinghua University
2005-2022
The topic of multi-person pose estimation has been largely improved recently, especially with the development convolutional neural network. However, there still exist a lot challenging cases, such as occluded keypoints, invisible keypoints and complex background, which cannot be well addressed. In this paper, we present novel network structure called Cascaded Pyramid Network (CPN) targets to relieve problem from these "hard" keypoints. More specifically, our algorithm includes two stages:...
COVID-19 has affected vulnerable populations disproportionately across China and the world. Solid social scientific evidence to tackle health inequity in current pandemic is urgent need.
Human pose estimation deeply relies on visual clues and anatomical constraints between parts to locate keypoints. Most existing CNN-based methods do well in representation, however, lacking the ability explicitly learn constraint relationships In this paper, we propose a novel approach based Token representation for human Pose (TokenPose). detail, each keypoint is embedded as token simultaneously appearance cues from images. Extensive experiments show that small large TokenPose models are...
Nanotube–Si heterojunction solar cells are fabricated by coating a thin film of double-walled carbon nanotubes on n-type silicon wafers. These show power-conversion efficiencies in the range 5–7%. The perform multiple functions cells, including charge separation, transport, and collection. Detailed facts importance to specialist readers published as "Supporting Information". Such documents peer-reviewed, but not copy-edited or typeset. They made available submitted authors. Please note:...
Most existing reinforcement learning (RL)-based portfolio management models do not take into account the market conditions, which limits their performance in risk-return balancing. In this paper, we propose DeepTrader, a deep RL method to optimize investment policy. particular, tackle balancing problem, our model embeds macro conditions as an indicator dynamically adjust proportion between long and short funds, lower risk of fluctuations, with negative maximum drawdown reward function....
In China, the implementation of stringent mitigation measures kept COVID-19 incidence and excess mortality low during first years pandemic. However, China's decision to end its dynamic zero COVID policy (a proactive strategy that deploys mass testing strict quarantine stamp out any outbreak before it can spread) in December 2022 resulted a surge hospitalizations. Despite worldwide attention given this event, actual impact sudden shift on population has not been empirically estimated.To...
Background Delayed diagnosis of inflammatory bowel disease (IBD) is common in Europe and North America, with limited research Asia. We aimed to investigate factors influencing delayed IBD Chinese children the impact on growth. Methods This was a retrospective study. Clinical data were collected through electronic medical records. The diagnostic interval includes time from symptom onset hospital admission diagnosis. Diagnostic delay defined as upper quartile first IBD. For effect growth...
Xi'an, as a typical inland city in China with worse integrated transport system, has promoted the use of metro service to ease serious traffic congestion. This paper uses logistic regression model examine mode shifts behavior for auto, taxi, bus, electric bicycle, and bicycle users after implementation based on stated preference data. The results indicate that auto travelers located suburban regions are more willing shift work trips. Female taxi likely than males. Longer trips prefer choose...
The cardiometabolic index (CMI) has been proposed as a novel indicator of status. This study aimed to investigate the effects CMI and its longitudinal transitions on development type 2 diabetes mellitus in middle-aged older Chinese.
The topic of multi-person pose estimation has been largely improved recently, especially with the development convolutional neural network. However, there still exist a lot challenging cases, such as occluded keypoints, invisible keypoints and complex background, which cannot be well addressed. In this paper, we present novel network structure called Cascaded Pyramid Network (CPN) targets to relieve problem from these "hard" keypoints. More specifically, our algorithm includes two stages:...
The study aimed to discuss the importance of socioeconomic status (SES) and family sexual attitudes investigate their association with reproductive health in a large sample Chinese young adults.We analysed 53 508 youth aged 15-24 years from an internet-based survey November 2019 February 2020. Multivariable logistic regression analyses were employed examine between SES, attitudes, (SRH), stratified by sex adjusting for potential confounders.Individuals highest expenditure more likely engage...
The advent of 3D virtual presentation technology for clothing has led to the gradual popularisation digital in modern fashion industry. However, there remains a gap between application this and integration cultural attributes field communication traditional clothing. Consequently, objective paper is propose establishment fusion system integrating archaeological research on culture with emerging technology. This draws inspiration from replicability easy dissemination products combine...
Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits significant consumption potential, have been relatively understudied in this context. To address theoretical gap, study employs the Stimulus–Organism–Response (S-O-R) theory as its research framework, using online virtual shoe case study....
Since the reform and opening-up, China has actively followed overseas costume trends bidden farewell to era of uniforms. It gone through evolution from collective imitation physical liberation advocacy diversified individuality this new age, where Chinese culture is radiant with self-confidence. The ancient a long history extensive profound connotations. This paper, perspective cultural confidence, adopts propagation mode ‘5W’ discuss dissemination culture, specific content Chinese-foreign...