- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Domain Adaptation and Few-Shot Learning
- Remote-Sensing Image Classification
- Advanced Image and Video Retrieval Techniques
- Photonic and Optical Devices
- Advanced Fiber Laser Technologies
- Advanced Antenna and Metasurface Technologies
- Air Quality Monitoring and Forecasting
- Hydrogen embrittlement and corrosion behaviors in metals
- Antenna Design and Analysis
- Remote Sensing and LiDAR Applications
- Neuroscience and Neural Engineering
- 3D Shape Modeling and Analysis
- 3D Surveying and Cultural Heritage
- Advanced Measurement and Detection Methods
- Global Health Care Issues
- Gaze Tracking and Assistive Technology
- Corrosion Behavior and Inhibition
- Nanoparticles: synthesis and applications
- EEG and Brain-Computer Interfaces
- Optical measurement and interference techniques
- Healthcare and Environmental Waste Management
- Metamaterials and Metasurfaces Applications
- Indoor Air Quality and Microbial Exposure
Central South University
2022-2024
Sun Yat-sen University
2023-2024
Chinese Academy for Environmental Planning
2024
KTH Royal Institute of Technology
2020-2024
Tianjin Normal University
2024
Tianjin Children's Hospital
2019-2023
Tianjin University
2023
Xi’an Jiaotong-Liverpool University
2021-2022
University of Liverpool
2022
Chinese University of Hong Kong, Shenzhen
2022
Graph contrastive learning (GCL) is a promising direction toward alleviating the label dependence, poor generalization and weak robustness of graph neural networks, representations with invariance, discriminability by solving pretasks. The pretasks are mainly built on mutual information estimation, which requires data augmentation to construct positive samples similar semantics learn invariant signals negative dissimilar empower representation discriminability. However, an appropriate...
China is now confronting the intertwined challenges of air pollution and climate change. Given high synergies between abatement change mitigation, Chinese government actively promoting synergetic control these two issues. The Synergetic Roadmap project was launched in 2021 to track analyze progress by developing monitoring key indicators. 2022 report first annual update, featuring 20 indicators across five aspects: governance system practices, structural transition, associated...
Detection of Bacillus anthracis in the field, whether as a natural infection or biothreat remains challenging. Here we have developed new lateral-flow immunochromatographic assay (LFIA) for B. spore detection based on fact that conjugates spores and super-paramagnetic particles labeled with antibodies will block pores chromatographic strips form retention lines strips, instead conventionally reported test control classic LFIA. As result, this LFIA can simultaneously realize optical, magnetic...
Objective: Limited evidence is available for the effects of extreme temperatures on cause-specific cardiovascular mortality in China. Methods: We collected data from Beijing and Shanghai, China, during 2007–2009, including daily disease, cerebrovascular ischemic heart disease hypertensive as well air pollution concentrations weather conditions. used Poisson regression with a distributed lag non-linear model to examine extremely high low ambient mortality. Results: For all mortality, had...
The increase in self-supervised learning (SSL), especially contrastive learning, has enabled one to train deep neural network models with unlabeled data for remote sensing image (RSI) scene classification. Nevertheless, it still suffers from the following issues. 1. performance of method is significantly impacted by hard negative sample (HNS) issue, since RSI scenario complex semantics and rich surface features. 2. multiscale characteristic missed existing methods. 3. As backbone a model,...
Brain-computer interface (BCI) research has attracted worldwide attention and been rapidly developed. As one well-known non-invasive BCI technique, electroencephalography (EEG) records the brain's electrical signals from scalp surface area. However, due to non-stationary nature of EEG signal, distribution data collected at different times or subjects may be different. These problems affect performance system limit scope its practical application. In this study, an unsupervised...
Self-supervised contrastive learning (SSCL) is a potential paradigm for remote sensing image (RSI)-invariant features through the label-free method. The existing SSCL of RSI built based on constructing positive and negative sample pairs. However, due to richness ground objects complexity contextual semantics, same patches have coexistence imbalance samples, which causing pushing samples far away while away, vice versa. We call this confounding issue (SCI). To solve problem, we propose False...
Integrated photonic microcavities have demonstrated powerful enhancement of nonlinear effects, but they face a challenge in achieving critical coupling for sufficient use incident pump power. In this work, we first experimentally demonstrate that highly efficient third-harmonic generation (THG) and detectable second-harmonic (SHG) can be produced from high-Q moiré superlattice microcavities, where condition achieved via selecting magic angle. Furthermore, at the angle 13.17°, is satisfied,...
A terahertz metasurface perfect absorber with multi-band performance is demonstrated. The composed of a ground plane and four split-ring resonators (SRRs) different dimensions, separated by dielectric spacer. numerical simulation results illustrate that the proposed has distinct absorption peaks at resonance frequencies 4.24, 5.66, 7.22, 8.97 THz, rates 96.8%, 99.3%, 97.3%, 99.9%, respectively. Moreover, corresponding full width half-maximum (FWHM) values are about 0.27, 0.35, 0.32, 0.42...
One technique of additive manufacturing is the binder-jetting that has advantages low costs, printing at room temperature and in air, no need a support structure. The aim this study was to investigate corrosion behavior printed 316L surfaces with without different post surface treatments blasting superfinishing. Comparative studies were performed on abraded wrought 316L. Surface topography, porosity, oxide composition, electrochemical characteristics, including pitting corrosion,...
The strong light localization and long photon lifetimes in whispering gallery mode (WGM) microresonators, benefiting from a high-quality (Q) factor small volume (V), could significantly enhance light–matter interactions, enabling efficient nonlinear generation paving the way for exploring novel on-chip optical functionalities. However, leakage of energy bending losses severely limits improvement Q subwavelength WGM microresonators. Here, we demonstrated an integrated self-suspended...
In recent years, transfer learning has been an important method to address the problem that labeled data are rarely in real world. many industry scenarios, collected sample signals usually not same distribution. A major assumption for traditional and deep based bearing fault diagnosis methods is training testing must follow However, this may hold reality. To different distribution problem, paper proposed unsupervised approach on learning. The correlation alignment (CORAL) algorithm used...
Since 2021, cobalt (Co) is in Europe classified as carcinogen quantities exceeding 0.1 wt-%. This affects nickel-rich stainless steels, which contain about 0.2 wt-% Co impurities. Previous findings show the bioaccessibility of steel to be primarily determined by corrosion resistance. It has been unclear whether distributed heterogeneously alloy and outermost surface a specific location would pose risk for release under exposure conditions. study aimed at locating 316L (0.2 Co) surfaces prior...
Abstract Two-dimensional (2D) layered materials without centrosymmetry, such as GaSe, have emerged promising novel optical due to large second-order nonlinear susceptibilities. However, their responses are severely limited by the short interaction between 2D and light, which should be improved coupling them with photonic structures strong field confinement. Here, we theoretically design crystal circular Bragg gratings (CBG) based on hole a quality factor high Q = 8 × 10 3 , mode volume small...
The segmentation of airborne laser scanning (ALS) point clouds remains a challenge in remote sensing and photogrammetry. Deep learning methods, such as KPCONV, have proven effective on various datasets. However, the rigid convolutional kernel strategy KPCONV limits its potential use for 3D object due to uniform approach. To address this issue, we propose an Integrated Point Convolution (IPCONV) based which utilizes two different convolution generation strategies, one cylindrical spherical...
The interactive effect between temperature and ambient particulate matter on mortality has attracted attention world-wide, but the results of studies investigating this interaction have been inconsistent. This comparative study aims to further clarify important public health issue.The present used two separate time-series analyses explore whether mean modified impact less than 10 ïm in diameter (PM10) daily non-accidental Beijing, China (2005â2009) Brisbane, Australia (2004â2007). A...
The classification of motor imagery (MI) signal is a representative problem in brain-computer interface (BCI) systems. Because one main application field MI-based BCI medical rehabilitation, it often difficult to obtain large amount labeled data from the same subject. Moreover, there are huge individual differences among subjects, so other subjects can not be directly used train classifier target A transfer learning approach which based on alignment and deep proposed solve above problem,...
Abstract Nickel (Ni) and cobalt (Co) release from chromium-alloy powders (different stainless steels a nickel-based Inconel alloy) compared with Ni Co metal was investigated at simulated human exposure scenarios (ingestion, skin contact, inhalation) between 2 168 h. All consisted of particles sized within the respirable range. The powder their surface reactivity were studied by means nitrogen adsorption electrochemical, spectroscopic (X-ray photoelectron spectroscopy atomic absorption...
Terahertz absorber has attracted much attention. However, most of them have complex structures and narrow bandwidth. Here, a wideband terahertz metasurface based on Mie resonance is demonstrated. The prepared by combining four dielectric resonators with different permittivity values into single unit cell. absorption the goes beyond 80% from 8.37 to 8.60 THz, showing performance. In addition, center frequency can be tuned size resonators, which makes proposed suitable for applications in devices.
To explore the concentration-response relationship between ambient concentration of PM2.5 and daily total hospital emergency room visits in Beijing during 2012 2013. This study also examined effects heavy polluted days on compared with light days.We collected meteorological factors monitoring data concentrations air pollutants October 1, to December 31, We from a tertiary same time period. Generalized additive model was fitted estimate association visits, by using smooth function adjust long...