- Wound Healing and Treatments
- Mobile Health and mHealth Applications
- Diabetic Foot Ulcer Assessment and Management
- Physical Activity and Health
- Periodontal Regeneration and Treatments
- ECG Monitoring and Analysis
- Advanced Chemical Physics Studies
- Workplace Health and Well-being
- Healthcare Education and Workforce Issues
- Electronic Health Records Systems
- Spectroscopy and Quantum Chemical Studies
- Context-Aware Activity Recognition Systems
- Molecular Spectroscopy and Structure
- Work-Family Balance Challenges
- Pressure Ulcer Prevention and Management
The University of Sydney
2007-2023
Beihang University
2014
We studied the relationships of diabetic ulcer wound fluid matrix metalloproteinases (MMPs), tissue inhibitors (TIMPs), and transforming growth factor-beta1 (TGF-beta1) with healing rate.The ulcers were cleansed to remove exudates, fluids collected for analysis MMP-2 -9, TIMP-1, TGF-beta1.At presentation, MMP-9 MMP-9-to-TIMP-1 ratio correlated inversely rate at 28 days (P < 0.001). lower in 23 patients who achieved complete 12 weeks versus 39 did not. The pro-MMP-9 concentration was...
Despite improved treatment, a significant number of diabetic foot ulcers do not heal and eventually lead to amputation (1–5). The important local factors determining the healing rate are pressure at site ulcer, adequacy blood supply, infection. It is generally accepted that for optimal healing, infection needs be treated. However, definition arbitrary, and, in many borderline cases, clinicians will uncertain whether antibiotic therapy indicated. Edmonds et al. (6) showed, study clinically...
Recommender systems have been successfully used in many domains with the help of machine learning algorithms. However, such applications tend to use multi-dimensional user data, which has raised widespread concerns about breach users’ privacy. Meanwhile, wearable technologies enabled users collect fitness-related data through embedded sensors monitor their conditions or achieve personalized fitness goals. In this article, we propose a novel privacy-aware recommender system. We introduce...
The number of Non-communicable disease (NCD) patients in China is growing rapidly, which far beyond the capacity national health and social security system. Community stations do not have enough doctors to take care their traditional ways. In order establish a bridge between patients, we propose eBPlatform, an information system based on Internet Things (IoT) technology for homecare NCD patients. eBox sensor can be deployed patient's home blood pressure measurement, sugar measurement ECG...
The excitation spectrum of very cold, isomerically pure protonated naphthalene is obtained by resonant dissociation spectroscopy. cations are prepared a pair laser pulses which ionize 1-hydronaphthyl radicals at threshold, thereby creating only particular isomer in the vibrational ground state. Due to small bandwidth first laser, lowest rotational states selected. cold cation reveals rich structure, some had previously been attributed hot bands. However, nature such that no bands appear, and...
Recommender systems have been successfully used in many domains with the help of machine learning algorithms. However, such applications tend to use multi-dimensional user data, which has raised widespread concerns about breach users privacy. Meanwhile, wearable technologies enabled collect fitness-related data through embedded sensors monitor their conditions or achieve personalized fitness goals. In this paper, we propose a novel privacy-aware recommender system. We introduce multi-level...