A5090915909- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Iterative Learning Control Systems
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Network Security and Intrusion Detection
- Advanced Sensor and Control Systems
- Advanced Computational Techniques and Applications
- Energy, Environment, and Transportation Policies
- Advanced Algorithms and Applications
- Electric and Hybrid Vehicle Technologies
- Cardiac Arrest and Resuscitation
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
- Industrial Technology and Control Systems
- Power Systems and Renewable Energy
- Hybrid Renewable Energy Systems
- Electric Power System Optimization
- Anesthesia and Neurotoxicity Research
- Speech and Audio Processing
- Transportation and Mobility Innovations
- Respiratory Support and Mechanisms
- Smart Grid and Power Systems
- Advanced Control Systems Optimization
Lanzhou University of Technology
2010-2025
Hangzhou Medical College
2018-2025
Zhejiang Provincial People's Hospital
2017-2025
Dalian University of Technology
2024
Zhengzhou University
2024
Hohai University
2024
Northeast Electric Power University
2024
Central Queensland University
2024
Aalborg University
2024
University of Technology Sydney
2024
Abstract Accurately forecasting multi‐load in integrated energy systems is crucial for enhancing overall efficiency and achieving greater economic benefits. However, a strong spatial correlation exists between load meteorology. Graph attention network, kind of neural network model dealing with graph data, can greatly analyse the intrinsic relationship meteorological factors. To this end, prediction multi‐task learning proposed. Firstly, considering complex influencing factors multi‐load,...
We present Vchitect-2.0, a parallel transformer architecture designed to scale up video diffusion models for large-scale text-to-video generation. The overall Vchitect-2.0 system has several key designs. (1) By introducing novel Multimodal Diffusion Block, our approach achieves consistent alignment between text descriptions and generated frames, while maintaining temporal coherence across sequences. (2) To overcome memory computational bottlenecks, we propose Memory-efficient Training...
Background: The calcium-binding protein S100A12 plays a pivotal role in the progression of acute lung injury (ALI) and respiratory distress syndrome (ARDS). However, underlying mechanisms are yet to be fully elucidated. Objective: This study aimed investigate LPS-induced human pulmonary microvascular endothelial cells (HPMECs) its molecular regulatory mechanism. Methods: An vitro model ALI/ARDS was established by lipopolysaccharide (LPS)-induced HPMECs. CCK-8, flow cytometry assay, ELISA...
Sepsis is a serious clinical condition resulting from severe infection. High rates of mortality and tissue damage have been reported in intensive care unit (ICU) patients with sepsis. Bovine lactoferrin (BLF) well-known 80-kDa glycoprotein the transferrin family that inhibits sepsis low-birth-weight neonates. The present study investigated protective effects BLF rat model sepsis-induced acute lung injury (ALI). wet/dry ratio, lipid peroxidation, antioxidant markers, total protein, cell...
With the continuous development of Evs (electric vehicles) and new energy, smart BESS (battery energy storage system) charging stations came into being, EV battery testing technology is particularly important. Improving stability vehicle can not only reduce accident rate vehicle, casualties economic losses, but also improve traffic conditions people's living standards. To ensure safe use average lifecycle costs, inspection methods with real-time implementation are required in different...
In order to further evaluate the impact of vehicle-to-grid (V2G) on distribution network, this paper studies a method assess influence electric vehicles participating in charge and discharge voltage quality network. First, considering state EV, participation owner other factors, charging discharging model is built. Then, probabilistic power flow calculation based Latin hypercube sampling used obtain probability amplitude load connected finally evaluation index established quantify calculate...
Neural stem cells (NSCs) transplantation is one of the most promising strategies for treatment CA-induced brain damage. The transplanted NSCs could differentiate into new neuron and replace damaged one. However, poor survival in severe hypoxic condition limiting step to make best use this kind therapy. In present study, we investigated whether overexpression miR-26a improves environment vitro vivo. hypoxia injury model established by CoCl2 treatment, vivo cardiac arrest (CA) Sprague-Dawley...
Abstract Background Myocardial ischemia–reperfusion injury (MIRI) is the main pathological manifestation of cardiovascular diseases such as myocardial infarction. The potential therapeutic effects bone marrow-derived mesenchymal stem cells (BM-MSCs) and participation regulatory T (Tregs) in MIRI remains to be defined. Methods We used experimental acute that was induced mice by left ascending coronary ischemia, which were subsequently randomized receive immunoglobulin G (IgG) or anti-CD25...
Backgroud The uncertainty associated with renewable generation and loads imposes various challenges for the economic operation of microgrids. On residential side, energy storage systems are implemented high expectations to enhance photovoltaic power consumption electricity price arbitrage. Aims This paper proposes an expectation-oriented stochastic model optimal management household batteries cope uncertain consumption. Materials & Methods exact cost expectation daily is formulated as...
As a major tool for reducing carbon emissions, the ownership of electric vehicles is increasing year by year. When EV numbers reach certain level, it equivalent to huge load randomly connected network, bringing new challenges daily monitoring and management charging stations. Accurate prediction methods stations with high reliability are basis ensuring safe operation supporting planning decisions construction expansion infrastructure. In this paper, station divided into three categories:...
In order to obtain faster and more accuracy transient tracking performances in iterative domain, a high-order proportional integral difference type parameter optimal learning control algorithm based on norm performance index is proposed. the algorithm, operator introduced expend dimension of increase free-degree parameter. Theoretic proof shows that convergence monotonic no matter plant positive or not, error will converge monotonically zero when positive. Finally, simulations show proposed...
Under the “carbon peaking and carbon neutrality” development strategy, in order to suppress load fluctuations promote renewable energy consumptions regional integrated system involving concentrating solar power stations, a double-layer optimization model based on improved non-dominated sorting genetic algorithm-II (NSGA-II) mixed integer linear programming (MILP) is proposed. The upper layer completes capacity configuration process multiple objectives minimize annual planning cost net...
Abstract To enhance the utilization of renewable energy and economic efficiency system's planning operation, this study proposes a hybrid optimization configuration method for battery/pumped hydro storage considering battery‐lifespan attenuation in regionally integrated system (RIES). Moreover, two‐layer model was established operation based on combination Salp Swarm algorithm mixed‐integer linear programming. Considering wind solar energies multiple loads, such as electricity, cooling,...
Background Acute respiratory distress syndrome (ARDS) is a severe condition associated with high morbidity, mortality, and healthcare costs. Despite extensive research, treatment options for ARDS are suboptimal. Methods This study encompassed patients diagnosed from the Medical Information Mart Intensive Care-IV (MIMIC-IV) database. Pre-intensive care unit (ICU) statin use was assessed as exposure variable. Kaplan–Meier survival analysis conducted to evaluate mortality at 30 90 days....