A5114888805- Antimicrobial Resistance in Staphylococcus
- Bacterial biofilms and quorum sensing
- Microbial Metabolism and Applications
- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- Software System Performance and Reliability
- Intensive Care Unit Cognitive Disorders
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Metabolomics and Mass Spectrometry Studies
- Essential Oils and Antimicrobial Activity
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Biochemical and Structural Characterization
- Fuzzy Logic and Control Systems
- Quantum Computing Algorithms and Architecture
- Cardiovascular Health and Risk Factors
- Diabetic Foot Ulcer Assessment and Management
- Optical measurement and interference techniques
- Pressure Ulcer Prevention and Management
- Fault Detection and Control Systems
- Listeria monocytogenes in Food Safety
- Cardiac Ischemia and Reperfusion
- Microbial Inactivation Methods
Nankai University
2024-2025
Shanghai University of Traditional Chinese Medicine
2024
China Electric Power Research Institute
2024
North China Electric Power University
2024
Institute of Microbiology
2018-2020
Guangdong Academy of Sciences
2018-2020
Nanchang University
2015
Second Affiliated Hospital of Nanchang University
2015
Guangdong University of Technology
2010
This study was to estimate the prevalence and characteristics of Staphylococcus aureus from 1,850 retail meat products in China during July 2011 June 2016. The samples were collected covering most provincial capitals China, including 604 raw meat, 601 quick-frozen 645 ready-to-eat meat. Using qualitative quantitative methods, all 39 cities had S. aureus-positive samples, detected 35.0% (647/1,850) samples. levels showed that MPN value majority positive ranged 0.3 100 MPN/g. Twenty-four...
Staphylococcus aureus is one of the most important food-borne pathogens globally. It produces various toxins and invasive enzymes can be found in numerous food products. Milk an source staphylococcal poisoning. After pasteurization, this microorganism or its enterotoxins might still remain pasteurized milk. Therefore, study was to investigate contamination S. 258 milk from 39 cities China. The prevalence levels these samples as well antibiotic susceptibility profiles, virulence genes,...
Methicillin-resistant Staphylococcus aureus (MRSA) is an emerging pathogen that difficult to treat due the multiresistance of bacteria upon infection. From 2011 2016, 1581 S. strains were isolated from 4300 samples retail foods covering most provincial capitals in China. To determine prevalence food-related MRSA and its genetic background China, antibiotic resistance, staphylococcal toxin genes, cassette chromosome mec (SCCmec) typing, spa-typing MLST carried out this study. In total, 108...
BackgroundDiabetic foot ulcers (DFUs) are a severe complication of diabetes. Persistent inflammation and impaired vascularization present considerable challenges in tissue wound healing. The aim this study was to identify the crucial regulators DFU healing investigate their specific mechanisms DFU.MethodsDFU RNA sequencing data were obtained feature genes. expression levels genes corresponding microRNAs (miRNAs) verified clinical samples. Subsequently, CD68 determined non-diabetic skin RAW...
s is a pathogen associated with serious community and hospital-acquired diseases. The aim of this study was to investigate the prevalence
Listeria monocytogenes is a foodborne pathogen with high mortality rate in humans. This study aimed to identify the pathogenic potential of L. isolated from ready-to-eat (RTE) foods and pasteurized milk China on basis its phenotypic genotypic characteristics. Approximately 7.7% (44/570) samples tested positive for among 10.8% (39/360) RTE 2.4% (5/210) samples, which 77.3% (34/44) had 110 MPN/g. A total 48 strains (43 five samples) were 44 samples. PCR-serogroup analysis revealed that most...
The availability of microservice systems is critical to business operations and corporate reputation. However, the dynamics complexity introduce significant challenges performance issue diagnosis large-scale systems. After investigating hundreds real-world cases in Tencent, we find that previous troubleshooting approaches fail accurately localize root causes because they overlook inconsistency between causality calling relationships. Therefore, propose a novel approach, MicroDig, diagnose...
A comprehensive keywords evaluation method based on keywords' search volume is introduced in this paper. According to the fluctuations and comparison with relevant keywords, a more scientific simpler way of selecting could be found by determining appropriate as optimization target using composite index method.
The scarcity of labelled data is specifically an urgent challenge in the field quantum machine learning (QML). Two transfer fusion frameworks are proposed this paper to predict labels a target domain by aligning its distribution different but related source on devices. fuses from two different, domains through information infusion channel. predicting tasks can be achieved with advantages post-processing measurement results. One framework, basic linear algebra subroutines (QBLAS) based...
<sec> <title>BACKGROUND</title> Dyslipidemia is an important risk factor for coronary artery disease and stroke. Early detection prevention of dyslipidemia can markedly alter cardiovascular morbidity mortality. Cox proportional hazard model has been commonly employed survival datasets to construct the prediction model. Recently, data-driven learning algorithm began be used analyze right-censored data. However, there no attempt use deep neural networks in prediction. </sec>...