A5005644658- Streptococcal Infections and Treatments
- Infections and bacterial resistance
- Neurobiology and Insect Physiology Research
- HVDC Systems and Fault Protection
- Olfactory and Sensory Function Studies
- Energy Efficiency and Management
- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Antibiotic Resistance in Bacteria
- Time Series Analysis and Forecasting
- Advanced Chemical Sensor Technologies
- Antibiotics Pharmacokinetics and Efficacy
- Bacterial biofilms and quorum sensing
- Escherichia coli research studies
- Antimicrobial Resistance in Staphylococcus
- Vibrio bacteria research studies
- High-Voltage Power Transmission Systems
- Anomaly Detection Techniques and Applications
- Power System Optimization and Stability
- Neonatal and Maternal Infections
Henan University of Science and Technology
2024-2025
State Grid Corporation of China (China)
2014-2024
Abstract Bacteria utilize intercellular communication to orchestrate essential cellular processes, adapt environmental changes, develop antibiotic tolerance, and enhance virulence. This communication, known as quorum sensing (QS), is mediated by the exchange of small signalling molecules called autoinducers. AI-2 QS, regulated metabolic enzyme LuxS (S-ribosylhomocysteine lyase), acts a universal mechanism across gram-positive gram-negative bacteria crucial for diverse bacterial processes. In...
Abstract The biofilm acts as a protective layer for Streptococcus suis ( S. ), contributing to the development of drug resistance and chronic infections. Autoinducer 2 (AI-2) quorum sensing represents primary regulatory pathway governing formation in . Consequently, targeting AI-2 inhibit promising strategy preventing managing infections caused by This study established small natural product library integrating commercial molecules with Chinese herbal medicine molecules. two products,...
In order to support the perception and defense of operation risk medium low voltage distribution system, it is crucial conduct data mining on time series generated by system learn anomalous patterns, carry out accurate timely anomaly detection for discovery conditions early alerting. And edge computing has been widely used in processing Internet Things (IoT) data. The key challenge univariate how model complex nonlinear dependence. However, most previous works only short-term dependence,...
This paper presents a household electricity consumption algorithm, it has limit warning function. The optimization objective is to automatically predict and adjust appliances power consumption, control the total within following thirty minutes. In order simplify experiment, was considered two kind of time adjustable which have high utilization rate in family. proposed system can calculation by using real-time measuring, estimates If will exceed upper limit, timely switch electrical according...
Splitting strategy is very important for the safety and stability of grids. However, splitting can hardly be appropriately performed without location out-of-step center. Considering conventional oscillation criteria are short capability locating center, this paper discusses from perspective energy proposes a novel method to effectively locate it. At first, structure briefly introduced, which OEF (Oscillation Energy Flow) derived. Through study on variation rules between subsystems, OES...