A5009672918- Protein Degradation and Inhibitors
- Osteoarthritis Treatment and Mechanisms
- Periodontal Regeneration and Treatments
- Sports injuries and prevention
- Total Knee Arthroplasty Outcomes
- Rheumatoid Arthritis Research and Therapies
- Cardiovascular Effects of Exercise
- Venous Thromboembolism Diagnosis and Management
- Sports Performance and Training
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- Stock Market Forecasting Methods
- Peptidase Inhibition and Analysis
- RNA Interference and Gene Delivery
University of Wisconsin–Madison
2019-2025
This paper reviews the current status and challenges of Deep Reinforcement Learning (DRL)-based algorithm optimisation risk management for high-frequency trading. By analysing potential application in trading, its unique advantages optimisation, trading decision-making are discussed. Although DRL demonstrates ability to make self-adaptive dynamic decisions complex market environments, it still faces many such as insufficient real-time algorithmic performance, data sparsity, model...
Purpose: To investigate the robustness of four fitting methods for bi-component effective spin-spin T2 (T2*) relaxation time analysis human patellar tendon.Methods: A three-dimensional (3D) cone ultrashort echo-time (UTE) sequence was performed on knees ten healthy volunteers at 3.0T.Four incorporating either Gaussian or Rician noise distribution were used voxel-by-voxel T2* tendon.The short relaxing (T**,s) and long (T*2,l) water components fraction component (fs) measured, different...