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Article
A Newly Established Air Pollution Data Center in China
Air pollution in China covers a large area with complex sources and formation mechanisms, making it a unique place to conduct air pollution and atmospheric chemistry research. The National Natural Science Foun...
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Article
Quantum chemical DFT-based adsorption mechanism of Pb(II) on a modified biochar
Heavy metals possess biological accumulation and toxicity, significantly endangering human health. Modified biochar adsorption is considered one of the most effective heavy metal removal techniques. In previou...
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Chapter and Conference Paper
ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks
Detecting abnormal users in social networks is crucial for protecting user privacy and preventing criminal activities. However, existing graph learning methods have limitations. Unsupervised methods focus on t...
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Article
Controlling factors and reservoir characteristics of Dolostone–evaporite co-occurring systems in the Eastern Sichuan Basin, China
The dolostone–evaporite co-occurring system (DECS) is widely found in Precambrian to Quaternary strata. In the eastern Sichuan Basin, DECS is mainly developed in the Cambrian Longwangmiao, Gaotai, and **xiangc...
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Article
Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning
Although deep reinforcement learning has recently achieved some successes in robot navigation, there are still unsolved problems. Particularly, a robot guided by a distant ultimate goal is easy to get stuck in...
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Article
Open AccessNew formation and fate of Isoprene SOA markers revealed by field data-constrained modeling
Particulate 2-methyltetrols (2-MT) and 2-methylglyceric acid (2-MG) are typically used to indicate the abundance of isoprene-derived secondary organic aerosols (SOA). However, their formation and fate are not ...
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Article
Strong in-plane optical anisotropy in 2D van der Waals antiferromagnet VOCl
Two-dimensional (2D) van der Waals (vdW) magnetic materials with strong in-plane anisotropy can make possible novel applications such as optospintronics and strain sensors. In this work, the strong in-plane op...
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Article
Correction to: Product liability, multidimensional R&D and innovation
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Article
Open AccessAn overview of hyperbaric oxygen preconditioning against ischemic stroke
Ischemic stroke (IS) has become the second leading cause of morbidity and mortality worldwide, and the prevention of IS should be given high priority. Recent studies have indicated that hyperbaric oxygen preco...
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Chapter and Conference Paper
PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations
In safety-critical deep learning applications robustness measurement is a vital pre-deployment phase. However, existing robustness verification methods are not sufficiently practical for deploying machine lear...
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Article
Product liability, multidimensional R&D and innovation
This paper studies the effect of product liability cost on firms’ incentives to conduct R&D when innovation inherently consists a safety dimension and a novelty dimension. We consider a situation where a monop...
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Article
Application of full-field organ dose modulation on cervical- thoraco-abdominopelvic contrast-enhanced computed tomography
To study the radiation dose and image quality on the use of full-field organ dose modulation (ODM) on cervical-thoracic-abdominal-pelvic contrast-enhanced computed tomography (CT) scanning on female chemothera...
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Article
Open AccessA method of chained recommendation for charging piles in internet of vehicles
With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastruc...
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Chapter and Conference Paper
Semantic Perception Swarm Policy with Deep Reinforcement Learning
Swarm systems with simple, homogeneous and autonomous individuals can efficiently accomplish specified complex tasks. Recent works have shown the power of deep reinforcement learning (DRL) methods to learn coo...
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Article
Rock slope stability analysis and charts based on hybrid online sequential extreme learning machine model
The stability of rock slopes is a difficult problem in the field of geotechnical and geological engineering. Less than 20% of all landslides are predictable each year, so a simple, fast, reliable and low-cost ...
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Chapter and Conference Paper
Data Storage Method for Fast Retrieval in IoT
Nowadays, data query in the Internet of Things (IoT) is suffering from high latency as increasing amounts of data collected by devices every day. In this paper, we focus on data retrieval and present a novel s...
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Article
Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations
To provide a new numerical algorithm for solving elliptic partial differential equations (PDEs), the Legendre neural network (LNN) and improved extreme learning machine (IELM) algorithm are introduced to propo...
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Article
Open AccessTime series behavior modeling with digital twin for Internet of Vehicles
Electric vehicle (EV) is considered eco-friendly with low carbon emission and maintenance costs. Given the current battery and charging technology, driving experience of EVs relies heavily on the availability ...
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Article
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm
In this paper, we introduce a new method based on Bernstein Neural Network model (BeNN) and extreme learning machine algorithm to solve the differential equation. In the proposed method, we develop a single-la...
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Article
Comparison of Bio-Oil and Waste Cooking Oil as Binders during the Codensification of Biomass: Analysis of the Pellet Quality
Codensification is a promising technique to convert biomass into high-quality energy pellets. In this research, the effect of apple tree bio-oil and waste cooking oil as binders on logistical, storage and comb...
