A5100452943- Soil Geostatistics and Mapping
- Heavy metals in environment
- Landslides and related hazards
- Geochemistry and Geologic Mapping
- Fire effects on ecosystems
- Chromium effects and bioremediation
- Climate change and permafrost
- Remote Sensing in Agriculture
- EEG and Brain-Computer Interfaces
- Flood Risk Assessment and Management
- Spectroscopy and Chemometric Analyses
- Remote Sensing and LiDAR Applications
- Soil Carbon and Nitrogen Dynamics
- Advanced SAR Imaging Techniques
- Chemical Analysis and Environmental Impact
- Water Treatment and Disinfection
- Coal and Its By-products
- Environmental Toxicology and Ecotoxicology
- Radioactive element chemistry and processing
- Underwater Acoustics Research
- Advanced Memory and Neural Computing
- Agriculture, Soil, Plant Science
- Spectroscopy Techniques in Biomedical and Chemical Research
- Geology and Paleoclimatology Research
- Soil and Unsaturated Flow
Sun Yat-sen University
2019-2025
Eighth Affiliated Hospital of Sun Yat-sen University
2023-2024
Sichuan University
2023-2024
Luoyang Institute of Science and Technology
2015-2022
University of South Australia
2020
Luoyang Cement Engineering Design and Research Institute
2020
University of Freiburg
2018
China Earthquake Administration
2016
Institute of Agricultural Resources and Regional Planning
2015
Chinese Academy of Agricultural Sciences
2015
Nanoplastics (NPs), as emerging pollutants, have attracted global attention. Nevertheless, the adverse effects of NPs on female reproductive health, especially unexplained miscarriage, are poorly understood. Defects trophoblast cell migration and invasion associated with miscarriage. Migrasomes were identified cellular organelles largely unidentified functions. Whether might affect migration, invasion, migrasome formation induce miscarriage has been completely unexplored. In this study, we...
The inversion of ocean currents is a significant challenge and area interest in remote sensing. Spaceborne along-track interferometric synthetic aperture radar (ATI-SAR) has several advantages benefits, including precise observations, extensive swath coverage, high resolution. However, limited number spaceborne (InSAR) systems are operating orbit. Among these, the baseline length generally suboptimal, resulting low accuracy difficulty achieving operational stability. One approaches involves...
The generalized linear geostatistical model (GLGM) is a formal approach of regression kriging that would be advantageous over commonly used modelling approaches for digital soil mapping (DSM). However, it has not been well explored in the literature, due to heavy computation. This study evaluates such organic matter at regional scale (179,700 km2). We hypothesized GLGM better than other as can nonlinear relationships and spatially consider residuals. accuracy depend on sampling density....
Sampling density and depth play crucial roles in three-dimensional (3D) soil modeling prediction, particularly digital mapping (DSM). However, previous studies have yielded inconsistent even contradictory results regarding impacts of sampling on the accuracy 3D DSM. Hence, this study aimed to evaluate depth, vertical lateral profile based a case organic carbon (SOC). To achieve this, comprehensive analysis was conducted 511 samples collected from 111 profiles local hilly area spanning 5.52...
With the increase in extreme climate events, forest fires burn much larger areas. Therefore, it is important to accurately predict fire frequencies. Precipitation an factor that affects probability of future fires. Previous models used average precipitation values, but attenuation was not considered. In this study, a time-decaying algorithm calculate comprehensive index. This method can better represent effect predicting occurrence Moreover, observed spots were converted into continuous...
Considerable information on copper (Cu) ecotoxicity as affected by biological species and abiotic properties of soils has been collected from the last decade in present study. The bioavailability/ecotoxicity, sensitivity differences laboratory field Cu different was collated integrated to derive soil ecological criteria for Chinese soils, which were expressed predicted no effect concentrations (PNEC). First, all data bioassays based screened with given compile a database. Second, compiled...
Earthquake-induced building collapse is one of the main reason for casualties. Airborne Laser Scanning (ALS) can acquire high resolution three-dimensional point cloud data. It possible to detect damage use post-earthquake ALS Due height difference buildings, earthquake-induced cannot by change directly, especially in large area. This paper proposed a neighboring points searching method calculate normal vector roof data, then compute angle between and zenith direction, α. Through α typical...
The tower foundation is an important component of the grounding device. conditions in permafrost areas are relatively harsh, and damage to can affect performance However, characteristics not yet clear, effective protection cannot be achieved. Based on this, this article constructs a simulated frozen soil experimental platform through experiments, replacing with concrete specimens. electrical mechanical properties after freeze-thaw were measured using quadrupole method resonance method,...
Machine learning can extract information from neural recordings, e.g., surface EEG, ECoG and µECoG, therefore plays an important role in many research clinical applications. Deep with artificial networks has recently seen increasing attention as a new approach brain signal decoding. Here, we apply deep using convolutional to μECoG data obtained wireless, chronically implanted system ovine animal model. Regularized linear discriminant analysis (rLDA), filter bank component spatial pattern...
The number of implantable bidirectional neural interfaces available for neuroscientific research applications is still limited, despite the rapidly increasing customized components. We previously reported on how to translate components into "ready-to-use" wireless systems utilizing off-the-shelf (COTS). aim present study was verify viability a micro-electrocorticographic ($\mu $ECoG) device built by this approach. Functionality both recording and stimulation evaluated in an ovine animal...
Precipitation is an important factor that predicts the occurrence of forest fires in future. This study uses a time decay model to calculate comprehensive precipitation index, which exponential weight model. method can better represent effect predicting fires. Besides, this used Support Vector Machine (SVM) regression construct fire warning In same area, using index compared with average precipitation, accuracy three areas test set has been improved by approximately 5%.