A5034725398- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Asthma and respiratory diseases
- IL-33, ST2, and ILC Pathways
- Dermatology and Skin Diseases
- Pediatric health and respiratory diseases
- SARS-CoV-2 detection and testing
- Gut microbiota and health
- Eosinophilic Esophagitis
- COVID-19 Clinical Research Studies
- Machine Learning and Algorithms
- Distributed and Parallel Computing Systems
- Cancer-related gene regulation
- Oil and Gas Production Techniques
- COVID-19 diagnosis using AI
- Ferroptosis and cancer prognosis
- Allergic Rhinitis and Sensitization
- Advanced Multi-Objective Optimization Algorithms
- Epigenetics and DNA Methylation
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2020-2024
Wenzhou Medical University
2020-2024
NORCE Norwegian Research Centre
2019-2021
University of Bergen
2019-2021
Wenzhou University
2021
Fructooligosaccharides (FOS) can change gut microbiota composition and play a protective role in food allergy (FA).
Introduction Group 2 innate lymphoid cells (ILC2s) play a crucial role in house dust mite (HDM)-induced allergic inflammation, and allergen immunotherapy (AIT) holds promise for treating the disease by reducing frequency of ILC2s. Despite significant progress AIT diseases, there remains need to improve control symptoms. Methods We investigated synergistic effect Notch signaling pathway subcutaneous (SCIT) airway inflammation mice their impact on ratio ILC2s lung tissues. This was achieved...
Ferroptosis is a newly discovered type of cell death and has recently been shown to be associated with asthma. However, the relationship between them at genetic level not elucidated via informatics analysis. In this study, bioinformatics analyses are conducted using asthma ferroptosis datasets identify candidate ferroptosis-related genes R software. Weighted gene co-expression network analysis performed co-expressed genes. Protein-protein interaction networks, Kyoto encyclopedia genomes,...
Bronchial asthma is a prevalent non-communicable disease among children. The study collected clinical data from 390 children aged 4–17 years with asthma, or without rhinitis, who received allergen immunotherapy (AIT). Combining these data, this paper proposed predictive framework for the efficacy of mite subcutaneous in based on machine learning techniques. Introducing dispersed foraging strategy into Salp Swarm Algorithm (SSA), new improved algorithm named DFSSA proposed. This effectively...
Summary When preparing a field–development plan, the forecast value of development can be sensitive to order in which wells are drilled. Determining optimal drilling sequence generally requires many simulation runs. In this paper, we formulate sequential decision problem schedule as one finding path tree that is most likely generate highest net present (NPV). A nonparametric online–learning methodology developed efficiently compute or near optimal. The main ideas behind approach heuristics...
Abstract Ensemble methods are remarkably powerful for quantifying geological uncertainty. However, the use of ensemble reservoir models robust optimization (RO) can be computationally demanding. The straightforward computation expected net present value (NPV) requires many expensive simulations. To reduce computational burden without sacrificing accuracy, we a fast and effective approach that only simulation mean model with bias correction factor. Information from distinct controls...
In sequential field development planning, past decisions not only directly affect the maximum achievable expected NPV but also influence future information that can be used to reduce geological uncertainty. To act optimally, when choosing actions, we must take into account opportunities improve optimal strategy by reducing most applications, however, effect of on is ignored because it would computationally intractable update reservoir model and re-optimize for all possible outcomes...
Abstract When preparing a field development plan, the forecast value of can be sensitive to order in which wells are drilled. Determining optimal drilling sequence generally requires many simulation runs. In this paper, we formulate sequential decision problem schedule as one finding path tree that is most likely generate highest net-present-value (NPV). A non-parametric online learning methodology developed efficiently compute or near optimal. The main ideas behind approach heuristics from...