A5030206667- Groundwater and Isotope Geochemistry
- EEG and Brain-Computer Interfaces
- Emotion and Mood Recognition
- Gaze Tracking and Assistive Technology
- Water Quality and Pollution Assessment
- Karst Systems and Hydrogeology
- Groundwater flow and contamination studies
- Environmental Quality and Pollution
- Radiomics and Machine Learning in Medical Imaging
- Advancements in Battery Materials
- AI in cancer detection
- Marine and coastal ecosystems
- Conducting polymers and applications
- Advanced Battery Materials and Technologies
- Luminescence and Fluorescent Materials
- Sentiment Analysis and Opinion Mining
- Geomechanics and Mining Engineering
- Carbon and Quantum Dots Applications
- Environmental Changes in China
- Wetland Management and Conservation
- Mine drainage and remediation techniques
- Water Resources and Sustainability
- Air Quality Monitoring and Forecasting
- Hepatocellular Carcinoma Treatment and Prognosis
- Mercury impact and mitigation studies
Beijing Jiaotong University
2021-2024
Guizhou University
2008-2024
Guizhou Institute of Technology
2018-2024
China Jiliang University
2016-2017
Shanxi Medical University
2014
Accumulated heavy metals in surface sediments are released into the aquatic environment, causing secondary contamination of hydrosphere, and increasing risks to human health. To evaluate pollution characteristics Chishui River Basin, present study, concentrations five Basin China were investigated using geo-accumulation index, load potential ecological risk indexes. These indexes evaluated degree influence activities on metal levels basin. Cu, Zn, Cd, Hg, As found at 5.12–120.40,...
As one of the key technologies emotion computing, recognition has received great attention. Electroencephalogram (EEG) signals are spontaneous and difficult to camouflage, so they used for in academic industrial circles. In order overcome disadvantage that traditional machine learning based technology relies too much on a manual feature extraction, we propose an EEG algorithm 3D fusion convolutional autoencoder (CAE). First, differential entropy (DE) features different frequency bands fused...
Rare earth elements (REEs), known as “industrial vitamins”, are widely used in medical treatment, industry, agriculture, etc. However, with the increasing demand for REEs, excess such gadolinium (Gd), considered micropollutants environment. In this paper, distributions of dissolved REEs were analyzed three small streams, order to determine extent and occurrence Gd anomalies. The shale-normalized REE patterns streams less smooth heavy higher than light a weak reaction complexes. A negative Ce...
This study collected 31 water samples from the Tongzi River, Guizhou Province, Southwest China to conduct a risk assessment understand hydrochemical characteristics and major ion sources of irrigation drinking quality their effects on human health. The results showed that abundance in River is Ca2+ (66%) > Mg2+ (24%) K++Na+ (10%) for cations HCO3− (75%) SO42−(21%) Cl− (4%) anions. Additionally, type Ca-Mg-HCO3, controlled by carbonate weathering. Methods including ratios, principal...
Electroencephalogram (EEG) is widely utilized in emotion recognition owing to its unique advantages. To achieve more optimal cross-subject recognition, a cross subject method based on interconnection dynamic domain adaptation (IDDA) proposed. In IDDA, graph convolution (DGC) employed dynamically learn the intrinsic relationships between different EEG channels and extract invariant features. And (DDA) align source target domain, at same time emotional sub-domains aligned, achieving...
Diffusion tensor imaging (DTI) is a special type of magnetic resonance (MRI), which the only noninvasive method that can effectively observe and trace white matter fiber bundles brain. In process, signal-to-noise ratio (SNR) MR image low due to influence Rician noise. And it leads processing difficultly by existing algorithms, limits development DTI in clinical applications. order remove noise preserve diffusion geometry DTI, we propose denoising algorithm based on Riemannian geometric...
This paper proposes a computer-aided diagnosis system which can automatically detect thyroid nodules (TNs) and discriminate them as benign or malignant. The firstly uses variational level set active contour with gradients phase information to complete automatic extraction of the boundaries images. Then according ultrasound images clinical diagnostic criteria, new feature method based on fusion shape, gray texture is explored. Due imbalance sample classes, this introduces weight factor...
Water samples were collected and analyzed for major ions in the dry season wet Qingshuijiang River Basin, to understand ion compositions solute fluxes as related rock weathering associated CO2 consumption rates. The total dissolved solids (TDS) varied from 35.29 740.90 mg·L–1, mean value (217.5 mg·L–1) was significantly higher than global rivers. Ca2+ HCO3–, dominated ionic composition, accounting approximately 61.95% of budgets. TDS element concentrations decreased upstream downstream....
Rivers in karst areas face increased risks from persistent growth human activity that leads to changes water chemistry and threatens the environment. In this study, principal component analysis (PCA), ion ratio measurements, other methods were used study of Qingshuijiang River Basin over past 10 years. The results showed main ions river Ca
基于MPN法对贵阳市两湖一库——阿哈水库、红枫湖、百花湖不同季节沉积物中硫酸盐还原菌(SRB)分布规律及其影响因素进行了研究.结果表明,两湖一库SRB含量及分布季节差异显著,冬季SRB含量明显低于夏、秋季节.冬季,SRB含量峰值主要集中在沉积物中部,而在夏、秋季节,SRB含量峰值主要集中在沉积物上部.在受到酸性矿山废水污染的阿哈水库,硫酸根含量远高于红枫湖和百花湖,但沉积物中的SRB含量整体上和其它2个未受硫酸盐影响的湖泊差异不大,仅在夏、秋季节表层沉积物中明显升高,表明两湖一库丰富的有机质及适宜的pH为硫酸盐还原菌提供了良好的生长环境,硫酸根含量没有成为SRB含量的主要限制因素.;In the present study, we investigated spatial and temporal distributions of sulfate reducing bacteria (SRB) controlling factors in sediment Aha Reservoir, Lake Hongfeng Baihua, Guiyang City based on...
In recent years, with the continuous development of artificial intelligence and brain-computer interfaces, emotion recognition based on electroencephalogram (EEG) signals has become a prosperous research direction. Due to saliency in brain cognition, we construct new spatio-temporal convolutional attention network for named BiTCAN. First, proposed method, original EEG are de-baselined, two-dimensional mapping matrix sequence is constructed by combining electrode position. Second, basis...