A5052198700- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Seismic Imaging and Inversion Techniques
- Hydrocarbon exploration and reservoir analysis
- Drilling and Well Engineering
- Phytochemistry and Biological Activities
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Battery Technologies Research
- Crystallography and molecular interactions
- Electric Vehicles and Infrastructure
- Reservoir Engineering and Simulation Methods
- Bioactive Compounds and Antitumor Agents
- Natural product bioactivities and synthesis
- Enhanced Oil Recovery Techniques
- Advancements in Battery Materials
- Medicinal Plant Extracts Effects
- Sesquiterpenes and Asteraceae Studies
- Gout, Hyperuricemia, Uric Acid
- Advanced Text Analysis Techniques
- Ionosphere and magnetosphere dynamics
- Sentiment Analysis and Opinion Mining
- Inertial Sensor and Navigation
- Ferroptosis and cancer prognosis
- Cardiac Ischemia and Reperfusion
- Natural Compound Pharmacology Studies
Aerospace Information Research Institute
2023-2025
Chinese Academy of Sciences
2023-2025
China University of Petroleum, East China
2020-2024
Institute of Software
2024
Henan University of Technology
2024
Shanghai University of Engineering Science
2024
University of Chinese Academy of Sciences
2023
University of Toronto
2022-2023
Xiamen University
2021-2022
China University of Petroleum, Beijing
2022
Atherosclerotic vascular disease (ASVD) is the leading cause of death worldwide. Hyperuricemia fourth risk factor for atherosclerosis after hypertension, diabetes, and hyperlipidemia. The mechanism hyperuricemia affecting occurrence development has not been fully elucidated. Mononuclear macrophages play critical roles in all stages atherosclerosis. Studies have confirmed that both ferroptosis promote atherosclerosis, but whether high level uric acid (HUA) promotes by regulating remains...
Doxorubicin (DOX) is a most common anthracycline chemotherapeutic agent; however, its clinical efficacy limited due to severe and irreversible cardiotoxicity. Ferroptosis, characterized by iron overload lipid peroxidation, plays pivotal role in DOX-induced Resveratrol (RSV) displays cardioprotective anticancer effects, owing antioxidative anti-inflammatory properties. However, the mechanism of RSV DOX-mediated ferroptosis cardiomyocytes unclear. This study showed that DOX decreased cell...
The intensity and scale of the opinion fightings in cyberspace on Russia–Ukraine war (RUW) have opened a new chapter history world warfare. This is magnificent demonstration social cognitive fighting with cyber-physical-social systems (CPSS) that would impact our humankind significantly now for long time to come, not just understanding wars, but every aspect life. Therefore, it worth studying dynamics RUW cyberspace. article will start this direction an analysis evolutionary public fighting,...
Millions of patients suffer from rare diseases around the world. However, samples are much smaller than those common diseases. Hospitals usually reluctant to share patient information for data fusion due sensitivity medical data. These challenges make it difficult traditional AI models extract disease features prediction. In this paper, we propose a Dynamic Federated Meta-Learning (DFML) approach improve We design an Inaccuracy-Focused (IFML) that dynamically adjusts attention different...
Estimating the magnetic moment of a target is key aspect anomaly detection when accurately locating target. Current methods primarily rely on vector field signals or gradient signals, which face challenges such as steering errors and high costs associated with sensor arrays. This paper proposes estimation algorithm that combines scalar three components local geomagnetic convolutional neural network (CNN). The simulation results demonstrate proposed performs well in noise environments...
Abstract Remaining useful life (RUL) is an important index indicating the health status of equipment, which has attracted extensive attention. Nevertheless, many existing RUL prediction methods encounter difficulties in effectively capturing comprehensive degradation features hidden data. Moreover, within real-world industrial scenarios, noisy signals are inevitably collected raw signals, thereby posing a big challenge to precision predictions. To address aforementioned problems, robust...
Astragaloside IV (AGS-IV) is a main active ingredient of Astragalus membranaceus Bunge, medicinal herb prescribed as an immunostimulant, hepatoprotective, antiperspirant, diuretic or tonic documented in Chinese Materia Medica. In the present study, we employed high-throughput comparative proteomic approach based on 2D-nano-LC-MS/MS to investigate possible mechanism action involved neuroprotective effect AGS-IV against glutamate-induced neurotoxicity PC12 cells. Differential proteins were...
Summary Interwell connectivity plays a key role in waterflooding for guiding water injection. The existing works focus on the response relationship between one injection well and production well. No research has explored structural information of pattern. To address this challenge, paper proposes cooperation-mission neural networks interwell with graph information. Specifically, we propose some assumptions based petroleum domain to represent pattern an adjacent matrix graph. Then two targets...
The well log is the basis for understanding a geologic structure and evaluating petroleum reservoirs. It inevitably leads to missing logs due borehole conditions equipment failures. Existing machine-learning methods introduce convolutional neural networks (CNNs) in temporal learn local morphological (spatial) features improving prediction. However, they ignore background information of differences spatial at different depth points. An adaptive spatiotemporal transformer (ASTT) developed...
Mastering the sentimental state of tourists can provide decision-making reference for scenic spot management and business operation. The core tourist sentiment analysis is construction tourism classification model. At present, there less research on emotions in field tourism, accuracy existing model needs to be improved. Therefore, a method combining lexicon machine learning construct emotion presented. texts were collected from micro-blog travel website reviews emotional firstly. By...