- Hip and Femur Fractures
- Bone Tissue Engineering Materials
- Pelvic and Acetabular Injuries
- Orthopedic Surgery and Rehabilitation
- Cardiac, Anesthesia and Surgical Outcomes
- Bone fractures and treatments
- Mesenchymal stem cell research
- Platelet Disorders and Treatments
- Osteoarthritis Treatment and Mechanisms
- Knee injuries and reconstruction techniques
- Lipid metabolism and disorders
- Stock Market Forecasting Methods
- Hemophilia Treatment and Research
- Venous Thromboembolism Diagnosis and Management
- Caching and Content Delivery
- Shoulder Injury and Treatment
- Traditional Chinese Medicine Studies
- Orthopaedic implants and arthroplasty
- Privacy-Preserving Technologies in Data
- Tissue Engineering and Regenerative Medicine
- Dental Implant Techniques and Outcomes
- 3D Printing in Biomedical Research
- Power Systems Fault Detection
- Blood Pressure and Hypertension Studies
- Elbow and Forearm Trauma Treatment
Yunnan University of Traditional Chinese Medicine
2025
Jiangxi University of Science and Technology
2024
West China Hospital of Sichuan University
2015-2024
Chengdu Fifth People's Hospital
2023-2024
Sichuan University
2015-2024
Sun Yat-sen University
2015-2024
University of California, San Francisco
2022-2024
Chengdu Second People's Hospital
2006-2023
Shenzhen University
2023
Electric Power Research Institute
2023
AbstractThe development of artificial intelligence has significantly transformed people's lives. However, it also posed a significant threat to privacy and security, with numerous instances personal information being exposed online reports criminal attacks theft. Consequently, the need achieve intelligent protection through machine learning algorithms become paramount concern. Artificial leverages advanced technologies effectively encrypt anonymize data, enabling valuable data analysis...
The stock market is a crucial component of the financial market, playing vital role in wealth accumulation for investors, financing costs listed companies, and stable development national macroeconomy. Significant fluctuations can damage interests investors cause an imbalance industrial structure, which interfere with macro level economy. prediction price trends popular research topic academia. Predicting three pricesrising, sideways, falling assist making informed decisions about buying,...
Click to increase image sizeClick decrease size Acknowledgements The authors would like thank Julan Du, Kam C. Chan, Jun Zhang and two anonymous referees for helpful comments. They also Mansfield Wong, Chi-man Xiaolei Wang Jenny Siu able research assistance. All remaining errors are ours. Notes §Other composite measures have been studied in the literature. For example, El Paso index of coincident economic activity compiled by Federal Reserve Bank is based on non-agricultural employment,...
We examined the relationship between systolic and diastolic blood pressure (BP) incidence of cardiovascular disease (CVD) in a nationally representative cohort 169,871 men women ≥40 years age China. Data on BP other variables were obtained at baseline examination 1991 using standard protocols. Follow-up evaluation was conducted 1999–2000, with response rate 93.4%. After adjustment for age, sex, cigarette smoking, alcohol consumption, physical activity, body mass index, education, geographic...
Vascularization of engineered bone tissue is critical for ensuring its survival after implantation and it the primary factor limiting clinical use. A promising approach to prevascularize grafts in vitro using endothelial progenitor cells (EPC) derived from peripheral blood. Typically, EPC are added together with mesenchymal stem (MSC) that differentiate into osteoblasts. One problem this how promote traditional engineering a minimally invasive method. In study, we examined effectiveness...
Background Post-operative mortality risk assessment for geriatric patients with hip fractures (HF) is a challenge clinicians. Early identification of HF high post-operative death helpful early intervention and improving clinical prognosis. However, single significant factor cannot accurately predict the prognosis patients. Therefore, our study aims to utilize machine learning approach, random forest algorithm, fabricate prediction model Methods This retrospective enrolled consecutive who...
AbstractThe development of artificial intelligence has significantly transformed people's lives. However, it also posed a significant threat to privacy and security, with numerous instances personal information being exposed online reports criminal attacks theft. Consequently, the need achieve intelligent protection through machine learning algorithms become paramount concern. Artificial leverages advanced technologies effectively encrypt anonymize data, enabling valuable data analysis...
3D-printing technology can be used to construct personalized bone substitutes with customized shapes, but it cannot regulate the topological morphology of scaffold surface, which plays a vital role in regulating biological behaviors stem cells. In addition, cells are able sense topographical and mechanical cues surface scaffolds by mechanosensing mechanotransduction. our study, we fabricated 3D-printed poly(ε-caprolactone) (PCL) nanotopographical loaded urine-derived (USCs) for application...
To address the problems of slow convergence speed, easy to fall into local minima and low accuracy presented by previous algorithms in DC distribution network fault location, this paper adopts improved artificial bee colony slime mould algorithm (SMA) improve solve. On basis SMA, an adaptive adjustable feedback factor crossover operator are introduced speed; (ABC) is search ability jump out minima, (ISMA) formed. Firstly, based on six-terminal topology, a mathematical model bipolar...
Background In elderly individuals suffering from hip fractures, a prolonged hospital length of stay (PLOS) not only heightens the probability patient complications but also amplifies mortality risks. Yet, most fracture patients present compromised baseline health conditions. Additionally, PLOS leads to increased expenses for treatment and care, while diminishing turnover rates. This, in turn, jeopardizes prompt allocation beds urgent cases. Methods A retrospective study was carried out...