A5100448079- Electric Vehicles and Infrastructure
- Transportation and Mobility Innovations
- Traffic Prediction and Management Techniques
- Advanced Battery Technologies Research
- Syntax, Semantics, Linguistic Variation
- Smart Grid Energy Management
- Anomaly Detection Techniques and Applications
- Perovskite Materials and Applications
- Network Security and Intrusion Detection
- Traffic control and management
- Advanced Algorithms and Applications
- Vehicle emissions and performance
- Human Mobility and Location-Based Analysis
- Vehicular Ad Hoc Networks (VANETs)
- Power Systems and Technologies
- Distributed Control Multi-Agent Systems
- Autonomous Vehicle Technology and Safety
- Power Systems and Renewable Energy
- Language, Discourse, Communication Strategies
- Urban Transport and Accessibility
- Industrial Technology and Control Systems
- Smart Parking Systems Research
- Luminescence Properties of Advanced Materials
- Microgrid Control and Optimization
- Natural Language Processing Techniques
Dublin City University
2020-2025
Shandong University of Technology
2022-2025
Henan University of Economic and Law
2025
University of California, Riverside
2016-2025
Harbin Institute of Technology
2024-2025
Wuhan Polytechnic University
2025
Beijing Institute of Technology
2022-2024
Wannan Medical College
2022-2024
Beijing Obstetrics and Gynecology Hospital
2024
Beijing Friendship Hospital
2024
Light-emitting diodes based on perovskite nanocrystals (PNCs-LEDs) have gained great interest for next-generation display and lighting technologies prized their color purity, high brightness, luminous efficiency which approach the intrinsic limit imposed by light extraction from device structure. Although time is ripe development of effective outcoupling strategies to further boost performance, this technologically relevant aspect PNC-LEDs still without a definitive solution. Here, following...
CsPbCl3 nanocrystals are potential ultrapure emitters. But it is challenging to synthesize with sufficient stability, which impedes their application in light-emitting devices. In this work, we report a facile phosphoryl-chemistry-mediated synthesis approach synthesizing stable nanocrystals, the phenylphosphonic dichloride (PhPOCl2) precursor employed. addition high reactivity of P–Cl bond PhPOCl2 for providing adequate Cl, derived P=O good proton affinity facilitates formation distinct...
The bone defect caused by fracture, tumor, infection, and other causes is not only a problematic point in clinical treatment but also one of the hot issues current research. development tissue engineering provides new way to repair defects. Many animal experimental rising application studies have shown their excellent prospects. construction rapid vascularization tissue-engineered main bottleneck critical factor repairing establishment vascular networks early after biomaterial implantation...
The implementation of Positive Energy Districts (PEDs) is recognized as a promising approach to achieving energy efficiency and reducing the negative environmental impact climate change through surplus local renewable generation. However, several barriers PEDs, coupled with lack joint definition clarity surrounding need be addressed. These include governance, incentives, social, process, market, technology, context challenges, requiring profound understanding priorities, ambitions,...
This paper introduces distributed algorithms that share the power generation task in an optimized fashion among several Distributed Energy Resources (DERs) within a microgrid. We borrow certain concepts from communication network theory, namely Additive-Increase-Multiplicative-Decrease (AIMD) algorithms, which are known to be convenient terms of requirements and efficiency. adapt synchronized version AIMD minimize cost utility function interest framework smart grids. then implement...
Abstract Background To compare standalone oblique lateral interbody fusion (OLIF) vs. OLIF combined with posterior bilateral percutaneous pedicle screw fixation (OLIF combined) for the treatment of lumbar spondylolisthesis. Methods This was a retrospective study patients who underwent or between 07/2014 and 08/2017 at two hospitals in China. Direct decompressions were not performed. Visual analog scale (VAS), Oswestry Disability Index (ODI), satisfaction rate, anterior/posterior disc heights...
Positive Energy Districts (PED) are areas within cities that generate more renewable energy than they consume, contributing to cities’ system transformation toward carbon neutrality. Since PED is a novel concept, the implementation very challenging. Within European Cooperation in Science and Technology (COST) Action, which offers an open space for collaboration among scientists across Europe (and beyond), this paper asks what needs supporting of PEDs are. To answer this, it draws on Delphi...
Abstract Clinical studies from WHO have demonstrated that only 50–70% of patients adhere properly to prescribed drug therapy. Such adherence failure can impact therapeutic efficacy for the in question and compromises data quality around population-level indications targeted. In this study, we applied various ensemble learning deep models predict medication among patients. Our contribution endeavour involves targeting problem prediction a particularly challenging class who self-administer...
Range-extended electric vehicles combine the benefits of propulsion with convenience and range flexibility conventional internal combustion engine vehicles. In energy management system, an equivalent consumption minimization strategy (ECMS) ensures balanced utilization various sources to meet driving demand in real time, thereby enhancing efficiency. This paper proposes a pattern personalized reconstruction (DPPR) method maximizes accuracy velocity prediction serve predictive ECMS (P-ECMS)...
Abstract Understanding treatment heterogeneity is essential to the development of precision medicine, which seeks tailor medical treatments subgroups patients with similar characteristics. One challenges achieving this goal that we usually do not have a priori knowledge grouping information respect effect. To address problem, consider heterogeneous regression model allows coefficients for variables be subject-dependent unknown information. We develop concave fusion penalized method...
The thermal quenching behavior (temperature-dependent luminescence) has severely hindered the practical applications of CsPbX3 nanocrystals. Here, we find that a simple surface treatment using ammonium hexafluorosilicate (AHFS, (NH4)2SiF6) can drastically reduce CsPbBr3 nanocrystals (CPB-NCs) while enhancing their photostability. AHFS-treated sample sustains 90% its original emission intensity as temperature rises to 353 K, which is much better than (17%) pristine sample. Meanwhile,...
Perovskite nanocrystals (NCs) have gained great interest for next-generation light-emitting diodes (LEDs) prized their spectrally tunable, narrow luminescence and defect-tolerant electronic structure. Here, we provide a careful surface engineering to balance the passivation charge injection by controlling ligand density of didodecyl dimethyl ammonium bromide on NCs, which not only offers an improved photoluminescence quantum yield >70% NCs but also guarantees effective transportation CsPbBr3...
In recent years, a wide variety of centralised and decentralised algorithms have been proposed for residential charging electric vehicles (EVs). this paper, we present mathematical framework which casts the EV scenarios addressed by these as optimisation problems having either temporal or instantaneous objectives with respect to different actors in power system. Using realistic distribution network simulation testbed, provide comparative evaluation range strategies, highlighting each case...
In this manuscript, we propose a multi-step framework for solving nonlinear systems of algebraic equations. To improve the solver’s efficiency, Jacobian matrix is held constant during second sub-step, while specialized strategy applied in third sub-step to maximize convergence speed without necessitating additional evaluations. The proposed method achieves fifth-order simple roots, with its theoretical established. Finally, computational experiments are conducted illustrate performance...
We propose a sparse deep ReLU network (SDRN) estimator of the regression function obtained from regularized empirical risk minimization with Lipschitz loss function. Our framework can be applied to variety and classification problems. establish novel nonasymptotic excess bounds for our SDRN when belongs Sobolev space mixed derivatives. obtain new, nearly optimal, rate in sense that achieve same optimal minimax convergence as one-dimensional nonparametric dimension involved logarithm term...
Abstract The utilization of novel engineering materials like shape memory alloys has significantly broadened their application scope within civil engineering. Consequently, this study examines the mechanical performance a grooved metallic-yielding damper fabricated from alloys. seismic new system been studied using nonlinear static analysis method in ABAQUS software. Also, after parametric investigation, applicability kind steel frame evaluated dynamic and considering accelerograms...