- Adipose Tissue and Metabolism
- Regulation of Appetite and Obesity
- High Altitude and Hypoxia
- Robotic Path Planning Algorithms
- Exercise and Physiological Responses
- Autonomous Vehicle Technology and Safety
- Mitochondrial Function and Pathology
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Guidance and Control Systems
- Traffic control and management
- Biochemical Analysis and Sensing Techniques
- Robotic Locomotion and Control
- Inflammasome and immune disorders
- AI in Service Interactions
- Impact of AI and Big Data on Business and Society
- Medicinal Plants and Bioactive Compounds
- Human-Automation Interaction and Safety
- Control and Dynamics of Mobile Robots
- Diet and metabolism studies
- Receptor Mechanisms and Signaling
- Artificial Intelligence in Healthcare and Education
- Neuroscience and Neuropharmacology Research
- ATP Synthase and ATPases Research
- Apelin-related biomedical research
- Ethics and Social Impacts of AI
Shanghai University of Sport
2020-2024
Tencent (China)
2023-2024
Sanda University
2024
Jingdong (China)
2020
This letter is the third report from a series of IEEE TIV's decentralized and hybrid workshops (DHWs) on intelligent vehicles for education (IV4E). Autonomous racing serves as vital platform nurturing engineering talents among university students, contributing to development skills essential vehicle industry. investigates how recent emerging techniques, such large language models (LLMs) Metaverse, can contribute organizing IV4E-oriented autonomous events. Among these DHWs, scholars diverse...
The initiation and progression of neurodegenerative diseases (NDs), distinguished by compromised nervous system integrity, profoundly disrupt the quality life patients, concurrently exerting a considerable strain on both economy social healthcare infrastructure. Exercise has demonstrated its potential as an effective preventive intervention rehabilitation approach among emerging therapeutics targeting NDs. As largest secretory organ, skeletal muscle possesses capacity to secrete myokines,...
Path planning is an essential function in intelligent vehicle, especially when driving scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle to find a balance among speed, accuracy, and optimality their solutions. In this paper, we introduce Adaptive Pure Pursuit (APP) planner, which designed be fast near-optimal for autonomous environments. The APP planner generates feasible paths through simulated closed-loop tracking control process of virtual...
An optimal control problem is a straightforward description of generic automatic parking maneuver planning scheme. However, the dimensionality usually high, primarily because large-scale collision avoidance constraints. Among complete constraints, some parts are redundant ego vehicle may not be subject to collisions with all obstacles at every moment. idea simplify constraints plan coarse path/trajectory, and then construct surrounding corridor which naturally separates from obstacles. This...
This letter is the second report from a series of IEEE TIV's Decentralized and Hybrid Workshops (DHWs) on Intelligent Vehicles for Education (IV4E). It outlines prospect The Autonomous One (TAO), future autonomous racing competition modeled after Formula to advance IV4E by pushing boundaries artificial intelligence. Existing races face challenges, including compromised fairness low participant enthusiasm. These issues limit spectator engagement, thereby reducing races' educational value. To...
Mitochondrial biogenesis and fusion are essential for maintaining healthy mitochondria ATP production. High-intensity interval training (HIIT) can enhance mitochondrial function in mouse hippocampi, but its underlying mechanism is not completely understood. Lactate generated during HIIT may mediate the beneficial effects of on neuroplasticity by activating lactate receptor GPR81. Furthermore, growing evidence shows that contributes to function. Given crucial cerebral physiological processes,...
This investigation delineates the influence of resistance training on expression synaptic plasticity-related proteins in hippocampi insulin-resistant mice and explores underlying molecular mechanisms.
Objective: To investigate the changes of pyroptosis-related proteins in hippocampus insulin-resistant mice and regulation resistance training on proteins. Methods: Six-week-old male C57BL/6J were randomly divided into control group (C, n=12) high-fat diet (HFD, n=26) for normal or 12 weeks. Subsequently, according to results glucose tolerance test (GTT) insulin (ITT), rats fed with (IR, n=10) exercise (RT, as well maintain diet. At same time, RT subjected training. After weeks, all...