- Infrastructure Resilience and Vulnerability Analysis
- Smart Grid Security and Resilience
- Risk and Safety Analysis
- Organic Electronics and Photovoltaics
- Structural Behavior of Reinforced Concrete
- Statistical Methods and Inference
- Advanced Chemical Sensor Technologies
- Software System Performance and Reliability
- Evacuation and Crowd Dynamics
- Reliability and Maintenance Optimization
- Nanowire Synthesis and Applications
- Network Security and Intrusion Detection
- Seismic Performance and Analysis
- Biomimetic flight and propulsion mechanisms
- Organic Light-Emitting Diodes Research
- Analytical Chemistry and Sensors
- Hydraulic flow and structures
- Material Properties and Processing
- Interactive and Immersive Displays
- Software-Defined Networks and 5G
- Power System Reliability and Maintenance
- Railway Engineering and Dynamics
- Anodic Oxide Films and Nanostructures
- Urban Transport and Accessibility
- History, Medicine, and Leadership
Hong Kong Polytechnic University
2023-2024
Dongbei University of Finance and Economics
2024
Xihua University
2024
Dalian University
2024
Dalian University of Technology
2024
Northeast Forestry University
2023
Huazhong University of Science and Technology
2017-2022
China Railway Eryuan Engineering Group Co.
2021
China Railway Group (China)
2021
Second Xiangya Hospital of Central South University
2020
Abstract The recovery process of postdisaster critical infrastructure systems (CISs) includes multiple phases, among which the repair phase usually takes longest time and contributes largest to system rapidity resilience. This article formulates sequence scheduling problem for damaged CIS components under limited resources in a general form, then proposes two novel heuristic methods enhance its solution performance. To demonstrate efficiencies proposed methods, typical existing are also...
An improvement of the performance bottom-contact organic thin-film transistors is demonstrated by embedding and planarizing source/drain electrodes in a gate dielectric. The electric contact with pentacene active layer superior to conventional electrode configurations because favorable growth grains adjacent edges: these can be seen figure.
Abstract Background: In the recent outbreak of novel coronavirus infection worldwide, risk thrombosis and bleeding should be concerned. Objectives: We aimed to observe dynamic changes D-dimer levels during disease progression evaluate their value for thrombosis. Methods: this study, we report clinical laboratory results 57 patients with confirmed COVID-19 pneumonia 46 community-acquired bacterial (CAP). And concentrations D-dimer, infection-related biomarkers, conventional coagulation were...
We study the problem of variable selection in convex nonparametric regression. Under assumption that true regression function is and sparse, we develop a screening procedure to select subset variables contains relevant variables. Our approach two-stage quadratic programming method estimates sum one-dimensional functions, followed by concave fits on residuals. In contrast previous methods for sparse additive models, optimization finite dimensional requires no tuning parameters smoothness....
Abstract Recently, many studies have analyzed critical infrastructure vulnerability under spatially localized attack (SLA), which is modeled as the failure of a set components, distributed in area, due to malicious attacks, while other components outside area do not directly fail. However, existing only considered one single and multiple SLAs (MSLAs) with more than been seldom investigated. This article addresses this issue mitigation systems (CISs) against worst‐case MSLAs. The problem...
We study the problem of variable selection in convex nonparametric regression. Under assumption that true regression function is and sparse, we develop a screening procedure to select subset variables contains relevant variables. Our approach two-stage quadratic programming method estimates sum one-dimensional functions, followed by concave fits on residuals. In contrast previous methods for sparse additive models, optimization finite dimensional requires no tuning parameters smoothness....
Electronic nose (E-nose) is an important means for machines to sense odor signals, but it faces a serious problem that limits its development, namely, sensor drift. Drift refers the long time and irregular changes in response signal of gas same analyte, will bring performance degradation E-nose. To reduce effect drift, we proposed entropy minimization model based on adversarial network (EMAD) which reduced distribution difference between data with without drift through training. EMAD...
Abstract 9,9‐Dimethyl‐9,10‐dihydroacridine (DMAC) is one of the most widely used electron donor for constructing high‐performance thermally activated delayed fluorescence (TADF) emitters. However, DMAC‐based emitters often suffer from imperfect color purity, particularly in blue emitters, due to its strong electron‐donating capability. To modulate strength, 2,7‐F‐Ph‐DMAC and 2,7‐CF 3 ‐Ph‐DMAC were designed by introducing electron‐withdrawing 2‐fluorophenyl 2‐(trifluoromethyl)phenyl at...
We have successfully dispersed silicon nanowires in liquid by a mild etching treatment. A transmission electron microscopic study reveals that the occurs selectively at defect sites of wires. This implies treated wires much fewer defects than those raw material. adopted an electrophoresis method, which is usually used biosciences, to mount single onto chosen electrodes prototype device. The mounting was checked using scanning probe microscopes. Compared with commonly microactuation our...
We have examined the effect of Nb addition on thermal stability supercooled liquid before crystallization, glass-forming ability and magnetic properties for amorphous alloy series Fe73NbxAl5-xGe2P10C6B4 Fe63Co7NbxZr10-xB20. The regions (ΔTx = Tx - Tg) maximum values 66 79K, respectively, Fe73Nb1Al4Ge2P10C6B4 Fe63Co7Nb4Zr6B20 alloys. saturation magnetization σs system is much higher than that Fe63Co7NbxZr10-xB20 almost unchanged with an increasing content from 0 to 3 at%. But alloys decreases...
The typical big data security acquisition algorithm especially in distributed environment of blockchain overlooks dispatching an emergency and is unable to improve the collection interval, resulting significant deviation distortion. As a result, technique that considers entire life cycle has been developed. In order meet goals different stages power grid cycle, adjust quantity deployment data, complete under sudden crisis. To mine properties association rules mining used. classified using...
Earthquakes are among the most devastating natural disasters, posing a significant threat to human life and property. With rapid pace of urbanization, urban risk against earthquakes has increased, making them an increasingly pressing concern for society. Urban infrastructure systems (UISs), such as electric power, water supply, gas systems, essential smooth functioning modern society but highly vulnerable ground shaking, resulting in service interruptions customers triggering negative...