- Hemodynamic Monitoring and Therapy
- Music and Audio Processing
- Speech and Audio Processing
- Brain Tumor Detection and Classification
- Soft Robotics and Applications
- Adenosine and Purinergic Signaling
- Innovation in Digital Healthcare Systems
- Speech Recognition and Synthesis
- Health disparities and outcomes
- Healthcare Technology and Patient Monitoring
- Gut microbiota and health
- Digestive system and related health
- Satellite Image Processing and Photogrammetry
- Internet of Things and Social Network Interactions
- Tryptophan and brain disorders
- Birth, Development, and Health
- Macrophage Migration Inhibitory Factor
- Human-Automation Interaction and Safety
- Cancer Cells and Metastasis
- Remote Sensing and LiDAR Applications
- Language, Metaphor, and Cognition
- Chronic Disease Management Strategies
- Muscle activation and electromyography studies
- Wireless Sensor Networks and IoT
- Linguistics, Language Diversity, and Identity
State Key Laboratory of Robotics and Systems
2024-2025
Harbin Institute of Technology
2022-2025
Wuhan University of Science and Technology
2022-2025
Jiangnan University
2022-2025
Jiangsu Normal University
2022-2025
University of Macau
2022-2024
Beijing Information Science & Technology University
2022-2024
Second People's Hospital of Yunnan Province
2024
Guangdong University of Foreign Studies
2022
Huazhong University of Science and Technology
2022
Previous studies had reported the association between famine exposure in early life and subsequent non-communicable diseases risk. In current study, we aimed to evaluate associations on multimorbidity prevalence incidence middle-aged older Chinese population. A total of 13,254 participants from China Health Retirement Longitudinal Study 2011 were included cross-sectional analyses. 5,780 including longitudinal analyses followed up 2020. Based questionnaire, divided into non-exposed, mild...
With the continuous advancement of Mobility as a Service (MaaS), hybrid traffic flow comprising MaaS-based and conventional trips has emerged within transportation networks, leading to diverse behaviors among heterogeneous travelers. Given coexistence travelers during promotion MaaS, this paper investigates two distinct groups: using MaaS subscription services (defined “subscribed users”) traditional who rely on personal experience “decentralized users”). Accordingly, we propose day-to-day...
Traditional breast cancer surgeries require collaboration between ultrasound (US) doctors and surgeons, making the procedure complex treating physicians prone to fatigue. In leader-follower robotic surgery, a surgeon controls an US arm instrument with their left right hands, enabling independent surgical performance. However, lack of scanning skills among as well physical separation in operations, can negatively impact both outcomes. This paper proposes robot-assisted scheme based on dynamic...
Digital Elevation Model (DEM) extraction from unmanned aerial vehicles is one of focal points in remote sensing image processing. This paper built point clouds based on Structure From Motion (SFM) techniques firstly, then excluded the outliers clouds, and finally generated regular grid DEM through different interpolation methods. At same time, proposed an improved inverse distance weighted method exponent p weighting function. As seen experimental results evaluated by checkpoint method, got...
<title>Abstract</title> Cyclin-dependent kinases 4 and 6 (CDK4/6) regulate cell cycle progression from the G1 to S phase. Recent findings have demonstrated that CDK4/6 inhibition (CDK4/6i) enhances antitumor immunity, as evidenced by increased tumor infiltration of CD8+ T cells, though underlying mechanism remains unclear. Our current study reveals CDK4/6i intratumoral in breast tumors through functional reprogramming tumor-associated macrophages (TAMs), facilitating indirect interactions...
Acoustic Scene Classification (ASC) identifies an environment based on audio signal. This paper explores ASC in low-resource conditions and proposes a novel model, DS-FlexiNet, which combines depthwise separable convolutions from MobileNetV2 with ResNet-inspired residual connections for balance of efficiency accuracy. To address hardware limitations device heterogeneity, DS-FlexiNet employs Quantization Aware Training (QAT) model compression data augmentation methods like Auto Device Impulse...