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Article
Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
It has been proven that Graph Neural Networks focus more on the majority class instances and ignore minority class instances when the class distribution is imbalanced. To address the class imbalance problems o...
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Article
A plug-and-play image enhancement model for end-to-end object detection in low-light condition
Although object detection algorithms based on deep learning have been widely used in many scenarios, they face challenges under some degraded conditions, such as low-light. A conventional solution is that imag...
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Article
Open AccessAn innovative ensemble model based on deep learning for predicting COVID-19 infection
Nowadays, global public health crises are occurring more frequently, and accurate prediction of these diseases can reduce the burden on the healthcare system. Taking COVID-19 as an example, accurate prediction...
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Article
Urinary pentachlorophenol in general population of central China: reproducibility, predictors, and associations with oxidative stress biomarkers
Pentachlorophenol (PCP) is a ubiquitous environmental persistent organic pollutant and a Group 1 carcinogen. Human exposure level of PCP was reported to be relatively higher in China than in many other countri...
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Article
Principal component analysis based on graph embedding
Dimensionality reduction plays an important role in image recognition and data mining. Traditional methods extract features from data itself and ignore the structure information of data even though it is cruci...
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Article
Urinary concentrations of fungicide carbendazim’s metabolite and associations with oxidative stress biomarkers in young children
Carbendazim (CBDZ) is the most widely used fungicide in China. It is ubiquitous in environment and can induce oxidative stress in mammals, while data on occurrence of its metabolite in human urine are scarce, ...
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Article
The effect of precipitation timing on phylogenetic and functional community structure in a semi-arid steppe
Changes in the amount and timing of precipitation may affect plant species coexistence. However, little is known about how these changes in precipitation structure plant communities. Here, we conducted a 6-yea...
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Article
Cross-modal alignment with graph reasoning for image-text retrieval
Image-text retrieval task has received a lot of attention in the modern research field of artificial intelligence. It still remains challenging since image and text are heterogeneous cross-modal data. The key ...
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Article
Non-parametric Bayesian dictionary learning based on Laplace noise
Sparse representation based on over-complete dictionaries is a hot issue in the field of computer vision and machine learning. In probability theory, over-complete dictionary can be learned by non-parametric B...
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Article
Open AccessCo** with extremes: lowered myocardial phosphofructokinase activities and glucose content but increased fatty acids content in highland Eurasian Tree Sparrows
Efficient and selective utilization of metabolic substrates is one of the key strategies in high-altitude animals to cope with hypoxia and hypothermia. Previous findings have shown that the energy substrate ut...
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Article
Effect of different fly ash additions on the properties of unsaturated soil in open-pit mine dumps
Internal dumps in mines are the main source of risks that threaten the safe production of mines, and improving their impermeability and stability is one of the core issues in this study. In this study, fly ash...
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Article
Influence of freeze–thaw cycling on the soil mechanical properties of open-pit mine dump under different moisture contents
Freeze–thaw circulation under different moisture contents is the main influencing factor of the soil strength characteristics at a dum** site. The fine-grained sand materials of an internal dum** site in t...
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Chapter and Conference Paper
Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval
Image-text retrieval is a challenging task due to image and text are heterogeneous cross-modal data, which possess semantic gap. The key issue of image-text retrieval is how to learn a common feature space whi...
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Chapter and Conference Paper
Attributed Non-negative Matrix Multi-factorization for Data Representation
Non-negative matrix factorization (NMF) is an important method of latent data representation learning. Most of the existing NMF methods focus only on one single factorization and obtain one clustering solution...
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Chapter and Conference Paper
Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold
Low Rank Representation (LRR) based unsupervised clustering methods have achieved great success since these methods could explore low-dimensional subspace structure embedded in original data effectively. The c...
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Chapter and Conference Paper
Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval
To solve the challenge of heterogeneous gap between visual and linguistic data in image-text retrieval task, many methods have been proposed and significant progress has been made. Recently, some works use mor...
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Article
Open AccessA comparison of flight energetics and kinematics of migratory Brambling and residential Eurasian Tree Sparrow
Unlike resident birds, migratory birds are generally believed to have evolved to enhance flight efficiency; however, direct evidence is still scarce due to the difficulty of measuring the flight speed and mech...
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Article
Hazard assessment of debris flows based on a PCA-GRNN model: a case study in Liaoning Province, China
In recent years, many studies have investigated the dangerous range of debris flows, but the accuracy with which the dangerous range is predicted is low. A novel hybrid generalized regression neural network (G...
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Article
Open AccessEffects of capture and captivity on plasma corticosterone and metabolite levels in breeding Eurasian Tree Sparrows
Bringing free-living animals into captivity subjects them to the stress of both capture and captivity, leading to the alteration of normal physiological processes and behaviors through activation of the hypoth...
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Article
Preparation of corn straw based spongy aerogel for spillage oil capture
This work mainly focused on the preparation of a low-cost, ultralight absorbent from renewable corn straw and filter paper via a facile and environmental-friendly approach containing high-shear blending and fr...
