A5102770021- Energy, Environment, Economic Growth
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Perovskite Materials and Applications
- Multimodal Machine Learning Applications
- Remote-Sensing Image Classification
- Genomics and Phylogenetic Studies
- Photosynthetic Processes and Mechanisms
- Advanced Neural Network Applications
- Robotics and Automated Systems
- Biofuel production and bioconversion
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Organic Electronics and Photovoltaics
- Evolutionary Algorithms and Applications
- Human Pose and Action Recognition
- Climate Change Policy and Economics
- Drilling and Well Engineering
- Mobile Crowdsensing and Crowdsourcing
- Semiconductor materials and devices
- Conducting polymers and applications
- Quantum Dots Synthesis And Properties
- Supply Chain and Inventory Management
- Robotics and Sensor-Based Localization
- Machine Learning and Data Classification
Xi’an Jiaotong-Liverpool University
2025
National University of Defense Technology
2016-2024
Qingdao Mental Health Center
2024
Sichuan University
2024
Yueyang Hospital
2024
Shanghai University of Traditional Chinese Medicine
2024
Beijing Academy of Artificial Intelligence
2023-2024
Zhejiang University
2022-2024
First Hospital of Shanxi Medical University
2024
Shanxi Medical University
2024
Organo-metal halide perovskites are a promising platform for optoelectronic applications in view of their excellent charge-transport and bandgap tunability. However, low photoluminescence quantum efficiencies, especially low-excitation regimes, limit efficiency light emission. Consequently, perovskite light-emitting devices operated under high injection, regime which the materials have so far been unstable. Here we show that, by concentrating photoexcited states into small subpopulation...
Abstract Reduced-dimensional perovskites are attractive light-emitting materials due to their efficient luminescence, color purity, tunable bandgap, and structural diversity. A major limitation in perovskite diodes is limited operational stability. Here we demonstrate that rapid photodegradation arises from edge-initiated photooxidation, wherein oxidative attack powered by photogenerated electrically-injected carriers diffuse the nanoplatelet edges produce superoxide. We report an...
The well known domain shift issue causes model performance to degrade when deployed a new target with different statistics training. Domain adaptation techniques alleviate this, but need some instances from the drive adaptation. generalisation is recently topical problem of learning that generalises unseen domains out box, and various approaches aim train domain-invariant feature extractor, typically by adding manually designed losses. In this work, we propose learn approach, where auxiliary...
Using the data of 3319 Chinese listed companies from 2007 to 2019, this study examines how performed under stress regional environmental regulations. We discover that increased regulation intensity efficiently lowers companies' idiosyncratic risk with empirical process. This result proves pressure could bring unexpected benefits business situation companies, which is reconfirmed through several robustness tests. The mechanism analysis further demonstrates internal governance, rather than...
Abstract Using a proprietary database of corporate green bonds issued in China, we investigate the effect bond issuance on firm‐level carbon performance and its impact mechanism. We utilize Economic Input–Output Life Cycle Assessment (EIO‐LCA) to evaluate use all 1074 firms that 2009–2018 as sample group. The empirical results reveal companies did not effectively achieve expected improvement post‐issuance. mechanism analysis suggests this might have been because primary motivation for issue...
Fusarium avenaceum is the predominant fungal pathogen responsible for root rot in Angelica crops and poses a serious threat to their commercial quality yield China. This fungus produces enniatin B (ENN B), toxin that could be pathogenicity virulence factor plant–pathogen interactions. Yet whether ENN exacerbates host infection onset of spp. caused by F. surprisingly understudied. Pathogenicity assays revealed co-inoculation with significantly increased disease index sinensis from 83.33%...
Pectobacterium carotovorum subsp. (Pcc) is a major phytopathogen responsible for soft rot in vegetables, affecting various staple crops such as carrots and potatoes. However, the recent emergence of streptomycin-resistant strains Pcc has compromised effectiveness streptomycin treating disease agriculture. This study aimed to evaluate effects phenolic compounds carvacrol, streptomycin, combination both on antibacterial activity, cell membrane integrity, virulence factors strain (SP). The...
We have determined that chloro-boron subnaphthalocyanine (Cl-BsubNc) is a mixture of products with random amounts chlorination in the bay position. developed chemical processes to varying amount chlorination.
An organic semiconductor thin film is a solid-state matter comprising one or more molecules. For applications in electronics and photonics, several distinct functional films are stacked together to create variety of devices such as light-emitting diodes solar cells. The energy levels at these thin-film junctions dictate various electronic processes the charge transport across junctions, exciton dissociation rates donor-acceptor molecular interfaces, trapping during formation host-dopant...
ABSTRACT An effective and environmentally friendly shale hydration inhibitor is essential to develop high‐performance water‐based drilling fluid with good environmental properties. For this purpose, minimize under satisfactory profit, composites of gelatin inorganic salt (KCl) or organic (2, 3‐epoxypropyl‐trimethylammonium chloride, EPTAC) were prepared as inhibitors perfect the inhibitive effect. The properties evaluated by comparison pure common inhibitors. Results suggested that when 2.0...
Vision Transformer (ViT) models have recently emerged as powerful and versatile tools for various visual tasks. In this article, we investigate ViT in a more challenging scenario within the context of few-shot conditions. Recent work has achieved promising results image classification by utilizing pre-trained vision transformer models. However, employs full fine-tuning downstream tasks, leading to significant overfitting storage issues, especially remote sensing domain. order tackle these...
This paper demonstrates an AlGaN/GaN ion-sensitive heterostructure field-effect transistors (ISHFETs)-based pH sensors with aluminum oxide (Al <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) to serve as a passivation layer and sensing membrane at the same time. Al was deposited by ultrasonic spray pyrolysis deposition (USPD) method. It found that ISHFET showed higher sensitivity of...
Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy. Mainstream FL approaches require each participant share common network architecture and further assume that are sampled IID across participants. However, in real-world deployments may heterogeneous architectures; the distribution is almost certainly non-uniform To address these issues we introduce FedH2L, which agnostic both robust different...
The emergency of ubiquitous intelligence in various things has become the ultimate cornerstone building a smart interconnection physical world and human world, which also caters to idea Internet Things (IoT). Nowadays, robots as new type IoT devices have gained much attention. With increasing number distributed multi-robots, such environment generates unprecedented amounts data. Robotic applications are faced with challenges big data: serious real-time assurance data privacy. Therefore,...
Robots have been widely adopted to perform critical tasks in various fields the past several years. Due limitations of its local resources, capability a single robot is usually severely restricted. Cloud robotics has recently proposed extend robots by leveraging rich services provided cloud. However, robotic applications generally give considerable attention quality service (QoS) because these interact directly with physical world. Fulfilling strict QoS requirements while utilizing cloud...