A5100441361- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Phosphorus and nutrient management
- Remote Sensing and Land Use
- Environmental Quality and Pollution
- Air Quality and Health Impacts
- Soil Carbon and Nitrogen Dynamics
- Advanced oxidation water treatment
- Agriculture, Soil, Plant Science
- Heavy Metal Exposure and Toxicity
- Marine and coastal ecosystems
- Mercury impact and mitigation studies
- Connexins and lens biology
- Geotechnical Engineering and Analysis
- Neural dynamics and brain function
- Energy and Environment Impacts
- Arsenic contamination and mitigation
- Time Series Analysis and Forecasting
- Environmental remediation with nanomaterials
- Layered Double Hydroxides Synthesis and Applications
- Traffic Prediction and Management Techniques
- Odor and Emission Control Technologies
- Functional Brain Connectivity Studies
- Human Mobility and Location-Based Analysis
- Chemistry and Chemical Engineering
Ocean University of China
2024
China Agricultural University
2021-2024
Second Affiliated Hospital of Zhejiang University
2022-2024
Sichuan University
2024
Helmholtz Zentrum München
2023
Northeast Agricultural University
2023
German Center for Lung Research
2023
Tianjin University
2022
Ministry of Civil Affairs
2019
Xi'an Jiaotong University
2019
Rationale: Microplastics are a pressing global concern and inhalation of microplastic fibers has been associated with interstitial bronchial inflammation in flock workers. However, how affect the lungs is unknown. Objectives: Our aim was to assess effects 12x31 µm nylon 6,6 (nylon) 15x52 polyethylene terephthalate (polyester) textile on lung epithelial growth differentiation. Methods: We used human murine alveolar airway-type organoids as well air-liquid interface cultures derived from...
Resting-state fMRI studies have demonstrated that Alzheimer's disease (AD) is associated with aberrant organization and function of large-scale brain networks. However, the nature disruption cross-network interactions in key neurocognitive networks remains unclear. In thi s paper, we examined 'triple-network model', including default mode network (DMN), salience (SN), central executive (CEN), to identify late mild cognitive impairment (LMCI) AD. With resting-state fMRI, tested functional...
Abstract Complicated associations between multiplexed environmental factors and aging are poorly understood. We manipulated using multidimensional metrics such as phenotypic age, brain volumes in the UK Biobank. Weighted quantile sum regression was used to examine relative individual contributions of aging, self-organizing maps (SOMs) were joint effects. Air pollution presented a relatively large contribution most cases. also found fair heterogeneities which same factor contributed...
High-quality training samples are essential for accurate land cover classification. Due to the difficulties in collecting a large number of samples, it is great significance collect high-quality sample dataset with limited size but effective distribution. In this paper, we proposed an object-oriented sampling approach by segmenting image blocks expanded from systematically distributed seeds (object-oriented approach) and carried out rigorous comparison seven strategies, including random...
Mountain mudslides have emerged as one of the main geological dangers in Yanshan region China a result excessive rains. In light this, multi-step debris flow hazard assessment method combining optimal weights and topological object metamodel is proposed based on game theory ideas. First all, environment research area, this paper determines mudslide danger evaluation indexes according to field investigation remote sensing image data, then combines them with element evaluation, utilizes idea...
High-quality samples for training and validation are crucial land cover classification, especially in some complex scenarios. The reliability, representativeness, generalizability of the sample set important further researches. However, manual interpretation is subjective prone to errors. Therefore, this study investigated following questions: (1) How much difference there interpreters' performance across educational levels? (2) Do accuracies human AI (Artificial Intelligence) improve with...
Abstract Cadmium (Cd) as a ubiquitous toxic heavy metal is reported to affect the nervous system. Selenium (Se) has been shown have antagonistic effects against toxicity. In addition, it shows potential antioxidant and anti‐inflammatory properties. Thus, purpose of this study was determine possible mechanism brain injury after high Cd exposure mitigation Nano‐selenium (Nano‐Se) Cd‐induced injury. study, Cd‐treated group showed decrease in number neurons tissue, swelling endoplasmic reticulum...
Grasslands, as an important part of terrestrial ecosystems, are facing serious threats land degradation. Therefore, the remote monitoring grasslands is tool to control degradation and protect grasslands. However, existing methods often disturbed by clouds fog, which makes it difficult achieve all-weather all-time grassland sensing monitoring. Synthetic aperture radar (SAR) data can penetrate clouds, helpful for solving this problem. In study, we verified advantages fusion multi-spectral (MS)...
The risk of cadmium (Cd) entering the food chain can be reduced by planting crops with low Cd accumulation ability, which is a safe, green and rational way to reuse contaminated farmland. Here, in order study soil threshold different regularly consumed crops, 83 in-situ farmland samples (Cd concentration range from 0.19 12.22 mg/kg) north south China are collected used for cultivating greens, wheat, carrot, poplar radish sweet potato pot experiments. results correlation analysis multiple...
In today's era of information explosion, large-scale data technology has penetrated into every aspect our lives, and the ubiquitous "figure" big can be seen in almost all industries. It is like a strong driving force, opening up new development directions for various industries, not only promoting industrial transformation upgrading, but also profoundly changes people's lifestyles. From daily online shopping to urban traffic management, from medical diagnosis personalized education,...
Semi-arid regions belong to important ecological transitional zones with a high ecosystem vulnerability and sensitivity. In recent years, due the influence of climate change human activities, land covers semi-arid have experienced dramatic changes. Therefore, timely accurate cover mapping is great significance. Deep learning has been hotspot in mapping; however, it requires large number labelled samples. To tackle this data-hunger issue, we resolve multi-gate semi-supervised (SSL) method...