A5101667148- Flood Risk Assessment and Management
- Tropical and Extratropical Cyclones Research
- Nanoplatforms for cancer theranostics
- Disaster Management and Resilience
- Machine Learning and ELM
- Climate Change, Adaptation, Migration
- Advanced Graph Neural Networks
- Infrastructure Resilience and Vulnerability Analysis
- Recycling and Waste Management Techniques
- Advanced Nanomaterials in Catalysis
- Human Mobility and Location-Based Analysis
- Remote Sensing and LiDAR Applications
- Extraction and Separation Processes
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Domain Adaptation and Few-Shot Learning
- Color perception and design
- Geographic Information Systems Studies
- Bone health and treatments
- Urban Stormwater Management Solutions
- Advanced Image Processing Techniques
- Smart Cities and Technologies
- Seismic Imaging and Inversion Techniques
- 3D Modeling in Geospatial Applications
- Cancer-related molecular mechanisms research
University of Cambridge
2025
Chinese Research Academy of Environmental Sciences
2024
University of Twente
2023-2024
First Affiliated Hospital of Xiamen University
2024
Nanjing Normal University
2023
Tianjin University
2023
Capital University of Economics and Business
2022
Hebei University
2016-2022
University of Florida
2020-2022
Texas A&M University
2022
Bone metastasis, a clinical complication of patients with advanced breast cancer, seriously reduces the quality life. To avoid destruction bone matrix, current treatments focus on inhibiting cancer cell growth and osteoclast activity through combination therapy. Therefore, it could be beneficial to develop bone-targeted drug delivery system treat metastasis. Here, nanoplatform was developed using gold nanorods enclosed inside mesoporous silica nanoparticles (Au@MSNs) which were then...
Urban digital twins (UDTs) have been identified as a potential technology to achieve transformative positive urban change through landscape architecture and planning. However, how this new will influence community resilience adaptation planning is currently unclear. This article: (1) offers scoping review of existing studies constructing UDTs, (2) identifies challenges opportunities UDT technologies for planning, (3) develops conceptual framework UDTs infrastructure resilience. article...
Recycling of spent lithium-ion batteries (LIBs) is essential for both environmental protection and natural resource conservation. Carbothermic reduction active materials has been a research hotspot LIB recycling. However, the high reaction temperature limited solubility Li2CO3 in reduced product seriously restricted its industrial application. Here, based on catalytic effect alkali metal salts carbothermic reduction, novel process that features lower temperature, accurately controlled...
Once bone metastasis occurs, the chances of survival and quality life for cancer patients decrease significantly. With development nanomedicine, nanocarriers loading bisphosphonates have been built to prevent based on their enhanced permeability retention (EPR) effects; however, as a passive mechanism, EPR effects cannot apply metastatic sites because lack leaky vasculature. In this study, we fabricated 40 nm-sized mesoporous silica nanoparticles (MSNs) anchored by zoledronic acid (ZOL)...
Photothermal therapy has the characteristics of minimal invasiveness, controllability, high efficiency, and strong specificity, which can effectively make up for toxic side effects tumor resistance caused by traditional drug treatment. However, due to limited tissue penetration infrared light, it is difficult promote apply in clinical practice. The eye only transparent human, light easily penetrate tissue, so expected that photothermal be used treat fundus diseases. Here in, a new...
Understanding the dynamics between public disaster assistance, damages, and social vulnerability at county-level is crucial for designing effective mitigation strategies. This study utilized Local Bivariate Moran Index (LBMI) geographically weighted regression (GWR) models to examine spatial patterns relationships vulnerability, assistance in contiguous US counties from 2001 2021. LBMI results reveal that has predominantly been directed towards post-disaster recovery efforts, with a...
Coastal communities are confronted with a growing incidence of climate-induced flooding, necessitating adaptation measures for resilience. In this paper, we introduce framework that integrates an urban digital twin geospatial dashboard to allow visualization the vulnerabilities within critical infrastructure across range spatial and temporal scales. The synergy between these two technologies fosters heightened community awareness about increased flood risks establish unified understanding,...
We study the problem of semi-supervised learning on graphs, for which graph neural networks (GNNs) have been extensively explored. However, most existing GNNs inherently suffer from limitations over-smoothing, non-robustness, and weak-generalization when labeled nodes are scarce. In this paper, we propose a simple yet effective framework -- GRAPH RANDOM NEURAL NETWORKS (GRAND) to address these issues. GRAND, first design random propagation strategy perform data augmentation. Then leverage...
Abstract This article deals with household‐level flood risk mitigation. We present an agent‐based modeling framework to simulate the mechanism of natural hazard and human interactions, allow evaluation community risk, predict various adaptation outcomes. The considers each household as autonomous, yet socially connected, agent. A Beta–Bernoulli Bayesian learning model is first applied measure changes agents’ perceptions in response stochastic storm surges. Then appraisal behaviors agents, a...
Exploration of the spatiotemporal changes in fractional vegetation cover （FVC） and its response characteristics to urbanization is great significance for urban ecological protection planning Beijing. This study analyzed Beijing from 2000 2020 using Theil-Sen Median Mann-Kendall methods based on a long-term time series dataset. Then, this used index as key indicator spatial utilized transect line global grid analysis investigate FVC different gradients. The results indicated that： ① showed...
Three-dimensional geovisualization in landscape design can be used to evaluate the efforts of mitigating CO2 emissions. This study evaluated subjects’ emotional preferences for 3D through an eye movement tracking experiment. In case that color building materials was positively correlated with low carbon emissions, green, blue, and gray were typical representatives Through experiment, different colors obtained. The results show fixation trajectory is consistent preset green energy saving...