A5110997511- Climate change and permafrost
- Cryospheric studies and observations
- Soil Moisture and Remote Sensing
- Antimicrobial Peptides and Activities
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Biochemical and Structural Characterization
- Arctic and Antarctic ice dynamics
- Probiotics and Fermented Foods
- Landslides and related hazards
- Vacuum and Plasma Arcs
- Vehicular Ad Hoc Networks (VANETs)
- Lipid Membrane Structure and Behavior
- Robotics and Automated Systems
- Antimicrobial agents and applications
- Induction Heating and Inverter Technology
- Heart Failure Treatment and Management
- Modular Robots and Swarm Intelligence
- Advanced SAR Imaging Techniques
- Ship Hydrodynamics and Maneuverability
- Dialysis and Renal Disease Management
- Energy and Environment Impacts
- Chemical Synthesis and Analysis
- High voltage insulation and dielectric phenomena
- Neonatal Health and Biochemistry
- Soil erosion and sediment transport
Chinese Academy of Medical Sciences & Peking Union Medical College
2024-2025
Lanzhou University
2024-2025
University of Southern California
2021-2025
Sensors (United States)
2024
Hebei University of Science and Technology
2023
Beijing University of Posts and Telecommunications
2023
Fudan University
2018
Shenyang University of Technology
2006
Changhai Hospital
1991
Second Military Medical University
1991
Abstract Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased increases the latent heat of fusion thaw, resulting in shallower active layers, and (b) thermal conductivity, deeper layers. To investigate their relative influence thaw depth, we analyzed Field Measurements Soil Moisture Layer Thickness (SMALT) Alaska Canada dataset, consisting thousands measurements depth collected at...
Antimicrobial peptides (AMPs) have emerged as promising agents to combat the antibiotic resistance crisis due their rapid bactericidal activity and low propensity for drug resistance. However, AMPs face challenges in terms of balancing enhanced antimicrobial efficacy with increased toxicity during modification processes. In this study, de novo d-type β-hairpin are designed. The conformational transformation self-assembling peptide
Interferometric synthetic aperture radar (InSAR) has been used to quantify a range of surface and near physical properties in permafrost landscapes. Most previous InSAR studies have utilized spaceborne platforms, but datasets over landscapes collected from airborne platforms steadily growing recent years. existing algorithms dedicated toward retrieval were originally developed for platforms. In this study, which is the first two part series, we introduce series calibration techniques apply...
Abstract Because of the remote nature permafrost, it is difficult to collect data over large geographic regions using ground surveys. Remote sensing enables us study permafrost at high resolution and areas. The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains about subsidence, active layer thickness (ALT), soil water content, table depth, derived from airborne radar measurements 66 image swaths in 2017. With nearly 58,000,000 pixels available for...
Abstract. Permafrost-affected ecosystems of the Arctic–boreal zone in northwestern North America are undergoing profound transformation due to rapid climate change. NASA's Arctic Boreal Vulnerability Experiment (ABoVE) is investigating characteristics that make these vulnerable or resilient this ABoVE employs airborne synthetic aperture radar (SAR) as a powerful tool characterize tundra, taiga, peatlands, and fens. Here, we present an annotated guide L-band P-band SAR data acquired during...
Developing a straightforward and effective strategy to modify antimicrobial peptides (AMPs) is crucial in overcoming the challenges posed by their instability toxicity. Phosphorylation can reduce toxicity improve stability of AMPs. Based on these, we designed series corresponding phosphorylated forms. The results showed that all displayed reduced enhanced compared unphosphorylated counterparts. Among them, W3BipY8-P stood out as most promising peptide, exhibiting similar antibacterial...
Abstract Seasonal subsidence induced by ground ice melt can be measured interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of depends on both how deep the soil thawed and much ice/water content existed soil. To provide later, P‐band polarimetric (PolSAR) backscatter is used due its sensitivity subsurface moisture freeze/thaw conditions. In this study, which second a two‐part series Permafrost Dynamics...
In permafrost regions, active layer thickness (ALT) observations measure the effects of climate change and predict hydrologic elemental cycling. Often, ALT is measured through direct ground-based measurements. Recently, synthetic aperture radar (SAR) measurements from airborne platforms have emerged as a method for observing seasonal thaw subsidence, soil moisture, in regions. This study validates SAR-derived estimates three regions Alaska, USA using calibrated ground penetrating (GPR)...
Antimicrobial peptides (AMPs) possess strong antibacterial activity and low drug resistance, making them ideal candidates for bactericidal drugs addressing the issue of traditional antibiotic resistance. In this study, a template (G(XXKK)
Abstract. Permafrost-affected ecosystems of the Arctic-boreal zone in northwestern North America are undergoing profound transformation as a result rapid climate change. NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) is investigating characteristics that make these vulnerable or resilient to this ABoVE employs airborne synthetic aperture radar (SAR) powerful tool characterize tundra, taiga, peatlands, and fens. Here, we present an annotated guide L-band P-band SAR data acquired during...
Accurate vegetation information is essential for analyzing above-ground biomass and understanding subsurface characteristics, such as root biomasss, soil <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">or</sup> ganic xmlns:xlink="http://www.w3.org/1999/xlink">ma</sup> tter moisture profiles. This paper investigates novel mappings of forest species canopy height in interior Alaska. We employ Random Forests to train a regression model mapping...
In this paper, we present an adaptive ship detection method for single-look complex synthetic aperture radar (SAR) images. First, noncircularity is analyzed and adopted in task; besides, similarity variance weighted information entropy (SVWIE) proposed clutter reduction target enhancement. According to the analysis of scattering SVWIE noncircularity, SVWIE-noncircularity (SN) decomposition developed. Based on decomposition, two components, high-noncircularity amplitude (h) low-noncircularity...
We present a novel algorithm for ship wake detection in synthetic aperture radar (SAR) images with complex background. First, sparse decomposition is implemented by the robust principal component analysis (RPCA) extrapolation of objects interest consisting wakes. Then, to roughly detect linear features, Radon transform employed. The random sampling consensus (RANSAC) subsequently utilized find actual position. Finally, results are used estimation heading and speed. Experimental show that...
The Permafrost Dynamics Observatory (PDO) combines L-band interferometric synthetic aperture radar (InSAR) and P-band polarimetric (PolSAR) to simultaneously estimate the seasonal thaw depth soil moisture profile of active layer in permafrost regions. InSAR can measure subsidence due thawing PolSAR backscatter is sensitive subsurface moisture. A joint retrieval scheme developed as both are essential accurate thickness (ALT) estimation. PDO has been applied airborne L- SAR data acquired over...
Abstract Vegetation information is essential for analyzing aboveground biomass and understanding subsurface characteristics, such as root biomass, soil organic matter, moisture conditions. In this study, we mapped boreal forest canopy height (FCH) species (FS) distributions in the Delta Junction region of interior Alaska, by integrating multi-source remote sensing observations within a machine learning framework based on extreme gradient boosting technique. Model inputs included...
The aim of this study was to evaluate the efficacy implementing CICARE communication model and hierarchical responsibility nursing coordination in managing chronic heart failure among elderly patients. From June 2021 2023, 120 patients diagnosed with were admitted our hospital. They divided into 2 groups according different treatment methods: regular group observation group. Both received interventions for 3 months. Before after intervention, we assessed levels cardiac function indicators...
Monitoring soil moisture enables detailed understandings of its role in the water cycle and how it is affected by climate change. Multiple airborne spaceborne missions have been dedicated to estimating moisture, including Soil Moisture Active Passive (SMAP) [1] , Ocean Salinity (SMOS) [2] Airborne Microwave Observatory Subcanopy Subsurface (AirMOSS) [3] . Some other remote sensing added retrievals along with their primary goal. For instance, objective Cyclone Global Navigation Satellite...