A5101922078- Urban Transport and Accessibility
- Climate Change and Health Impacts
- Allergic Rhinitis and Sensitization
- Air Quality and Health Impacts
- Water Resources and Sustainability
- Urban Green Space and Health
- Agriculture, Soil, Plant Science
- Vascular Tumors and Angiosarcomas
- Land Use and Ecosystem Services
- Traffic control and management
- Species Distribution and Climate Change
- Advanced Image Processing Techniques
- Photoacoustic and Ultrasonic Imaging
- Agronomic Practices and Intercropping Systems
- Remote-Sensing Image Classification
- Tree-ring climate responses
- Advanced Fiber Optic Sensors
- Advanced Image Fusion Techniques
- Remote Sensing in Agriculture
- Transportation Planning and Optimization
- COVID-19 impact on air quality
- Human Mobility and Location-Based Analysis
- Soil Moisture and Remote Sensing
- Child Nutrition and Water Access
- Climate variability and models
Beijing University of Chinese Medicine
2025
China Three Gorges Corporation (China)
2024
Wuhan University
2018-2024
Henan Agricultural University
2024
Taiyuan University of Technology
2024
Baoding People's Hospital
2023
University of Maryland, College Park
2019-2022
China Agricultural University
2022
Beijing Jiaotong University
2020
Background: Acute lung injury (ALI) is a major cause of death in patients with various viral pneumonias. Our team previously identified four volatile compounds from aromatic Chinese medicines. Based on molecular compatibility theory, we defined their combination as (AC), though its therapeutic effects and underlying mechanisms remain unclear. Methods: This study used influenza A virus (IAV) A/PR/8/34 to construct cell mouse models ALI explore AC’s protective against infection. The effect AC...
<h3>Importance</h3> Ongoing climate change is affecting the health of communities across globe. While direct consequences, including morbidity and mortality tied to increases in frequency extreme weather events, have received significant attention, indirect effects, particularly those associated with change–driven disruptions ecosystems, are less understood. <h3>Objective</h3> To investigate how ongoing changes timing spring onset related rates asthma hospitalization Maryland. <h3>Design,...
Spring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring understanding of changes spring for long periods large regions are challenging due to the limited in-site observations. Space-based remotely sensed observations offer great potentials decadal from regional global scales. However, coarse-scale insufficient capture fine-scale dynamics, especially urban areas, this makes it combined effects change urbanization on...
Background: This study explores the role of leguminous crops like lima bean in enhancing soil quality and ecosystem stability. Despite existing studies on agronomic aspects, there is a significant research gap its impact organic matter level, microbial activity, health, nutrient availability. Therefore, this examines capacity to reactivate quality, focusing Methods: The experimental area was set up 2023 using three replicates randomized block design. Two treatments were used: bean-planted...
Land carrying capacity is an important factor for urban sustainable development. It provides essential insights into land resource allocation and management. In this article, we propose a framework to evaluate with multiple data sources from the first geographical census socioeconomic statistics. particular, index, Resource Pressure (LRP), proposed capacity, case study was carried out in Wuhan. The LRP of Wuhan calculated on 250 m * grids, showed circularly declining pattern central outer...
Climate change driven increases in the frequency of extreme heat events (EHE) and precipitation (EPE) are contributing to both infectious non-infectious disease burden, particularly urban city centers. While share populations continues grow, a comprehensive assessment impacted by these threats is lacking. Using data from weather stations, climate models, population growth during 1980–2017, here, we show that concurrent rise EHE, EPE, has resulted over 500% individuals exposed EHE EPE 150...
Most of the currently mature methods that are used globally for population spatialization researched on a single level, and dependent spatial relationship between land covers (city, road, water area, etc.), resulting in difficulties data acquisition an inability to identify precise features different levels. This paper proposes multi-level method administrative levels with support China's first national geoinformation survey, then considers several approaches verify results method. aims...
Change detection is a core issue in the study of global change. Inspired by recent success UNet3+ architecture originally designed for image semantic segmentation, this article we proposed densely connected siamese network change detection, namely Pre-SiUNet3+-CD (the combination Pre-processing, Siamese and UNet3+). First, our pre-processing algorithm can mitigate effects poor co-registration between bitemporal images, thus alleviating loss localization information map. Second, several...
Accurate estimation of soil water content (SWC) is crucial for effective irrigation management and maximizing crop yields. Although dielectric property-based SWC measurements are widely used, their accuracy still affected by variability, soil–sensor contact, other factors, making the development convenient accurate soil-specific calibration methods a major challenge. This study aims to propose plate compression filling technique calibrations monitor extent biomass degradation using...
Due to the development of video perception technology, obtaining volume pedestrians and vehicles at a crosswalk has become much easier. Based on this development, paper proposes dynamic signal timing optimization model then analyzes effects for three different strategies. First, we propose by involving delays vehicles, as well fuel consumption cost, simultaneously. In model, design strategy, using past cycles predict present volume, calculate optimal minimizing total cost system. Second, is...
Synthetic aperture radar (SAR) records important information about the interaction of electromagnetic waves with Earth’s surface. However, long-term and high-resolution backscatter coefficient data are still lacking in many urban studies (e.g., building height estimation). Here, we proposed a framework to reconstruct 1-km 1990–2022 utilizing Sentinel-1 Ground Range Detected Landsat time series Jing–Jin–Ji (JJJ) region. First, developed regression model convert optical signals from into...
Pansharpening is an important technology for obtaining high-resolution multispectral (HRMS) images by fusing low-resolution (LRMS) and panchromatic (PAN) images. Although many pansharpening models have emerged taking advantage of deep learning (DL) technology, there remains a pressing need to further assess accuracy stability when LRMS with complex land-cover types. What's more, these often overlook the exploitation PAN images' inherent high-frequency information. To address issues, we...
BACKGROUND AND AIM: Ongoing climate variability and change is altering the timing of spring onset, a critical event that signifies start tree pollen season in North America. There paucity data regarding how such changes onset impact burden allergic disease Northeast United States. METHODS: We processed Landsat MODIS observations for New York Maryland during 2001-2015 to derive (SOS) using double logistic model aggregated them county level. then calculated yearly deviations SOS each MD NY...