A5100782682- Smart Grid and Power Systems
- Power Systems and Technologies
- Cavitation Phenomena in Pumps
- Supercapacitor Materials and Fabrication
- Advanced ceramic materials synthesis
- Fluid Dynamics Simulations and Interactions
- Power Systems and Renewable Energy
- Hydraulic and Pneumatic Systems
- Energy Load and Power Forecasting
- Advanced materials and composites
- Technology and Security Systems
- Complex Network Analysis Techniques
- Cloud Computing and Resource Management
- Magnesium Oxide Properties and Applications
- ZnO doping and properties
- Drilling and Well Engineering
- Groundwater flow and contamination studies
- Opinion Dynamics and Social Influence
- Electrochemical sensors and biosensors
- CO2 Sequestration and Geologic Interactions
- Semiconductor materials and devices
- MXene and MAX Phase Materials
- Metallic Glasses and Amorphous Alloys
- Electricity Theft Detection Techniques
- Distributed and Parallel Computing Systems
Columbia University Irving Medical Center
2024
Southwest Jiaotong University
2021-2024
Xihua University
2023-2024
Shanghai Electric (China)
2024
Shenyang Pharmaceutical University
2023
Huazhong University of Science and Technology
2011-2023
Nanjing Tech University
2023
Leverhulme Trust
2023
Shandong University
2018-2022
Chongqing University of Technology
2022
Global epidemic studies have suggested that coffee consumption is reversely correlated with the incidence of type 2 diabetes mellitus (T2DM), a metabolic disease. The misfolding human islet amyloid polypeptide (hIAPP) regarded as one causative factors T2DM. Coffee extracts three major active components: caffeine, caffeic acid (CA), and chlorogenic (CGA). In this study, effects these components, well dihydrocaffeic (DHCA) (a metabolite CGA CA), on amyloidogenicity hIAPP were investigated by...
The emergence of complex cavitating vortex flow creates a significant challenge to the safe and stable performance axial waterjet pumps when it operates under extreme conditions. This paper aims investigate intricate structures cavitation vortices examine interaction between dynamics evolution typical vortical temporal spatial tip leakage cavity (TLVC) at different indices are investigated. Wedge-shaped (WSC) first appears near leading edge in initial stage (σ = 0.624). In growing 0.247),...
Domain adaptation (DA) has the promising potential to mitigate distribution gap between source and target data in fault diagnosis. However, many DA methods only attempt align mean of feature distribution, neglecting covariance information about distribution. Furthermore, most existing ignore topological structures among different domains, potentially leading negative transfer. To tackle these issues, a novel mechanism, named discriminative graph knowledge embedding based on incremental...
Enhanced rock weathering is a promising carbon dioxide removal (CDR) technology that involves the dissolution of silicate minerals (e.g., wollastonite). This process releases elements such as calcium, which can remain in solution and be charge balanced by bicarbonate, or stored pedogenic carbonate on soil exchange sites. To verify credits, robust monitoring, reporting, verification (MRV) approaches are essential. In this study, we explore total cation accounting (TCA) novel method for MRV....
Based on the K-Nearest Neighbor algorithm, this paper deeply studies intelligent local energy system and power metering problems of supply-side demand. Through analysis a large amount consumption supply data, we have built an that can accurately predict meet Specifically, collected electricity data for past five years, including multi-dimensional information such as daily consumption, seasonal changes, weather factors. KNN successfully identified key factors affecting established prediction...
Enhanced weathering (EW) of silicate minerals on agricultural fields is a promising natural carbon dioxide removal (CDR) method that has potential co-benefits for soil health and crop safety. However, the scalability EW suffering from labor-intense requirements pore water extraction monitoring, reporting verification (MRV) credits. Furthermore, in-field MRV can be challenging as existing methods, such rhizon samplers or ceramic suction cups, may lose vacuum ineffective at low moisture...
In this work, a simple and highly selective electrochemical biosensor for determination of uric acid (UA) is synthesized by using β-lactoglobulin (BLG)-functionalized multiwall carbon nanotubes (MWCNTs) platinum nanoparticles (PtNPs) nanocomposite. Urate oxidase (UOx) can oxidize to hydrogen peroxide allantoin, which provides good opportunity detection UA. Under the optimized conditions, current changes UOx/Bull Serum Albumin (BSA)/BLG-MWCNTs-PtNPs/Glassy Carbon (GC) electrode with method...
A sensorless control system of a permanent magnet synchronous motor based on an extended Kalman filter (EKF) algorithm faces problems with inaccurate or mismatched process noise statistics. This problem affects the performance filter, resulting in estimation speed. To address above problem, this paper proposes parameter-adaptive that does not depend precise covariance. method can significantly reduce negative impact statistical mismatch speed estimation. In addition, uses adaptive covariance...
Modeling and synthesizing low-light raw noise is a fundamental problem for computational photography image processing applications. Although most recent works have adopted physics-based models to synthesize noise, the signal-independent in conditions far more complicated varies dramatically across camera sensors, which beyond description of these models. To address this issue, we introduce new perspective by generative model. Specifically, signal-dependent physics-and learning-based manner,...
In the research on network security, distinguishing vulnerable components of networks is very important for protecting infrastructures systems. Here, we probe how to identify nodes complex in cascading failures, which was ignored before. Concerned with random attack (RA) and highest load (HL) nodes, model dynamics networks. Then, introduce four kinds weighting methods characterize including Barabási-Albert scale-free (SF), Watts-Strogatz small-world (WS), Erdos-Renyi (ER), two real-world The...