A5072166761- Advanced Graph Neural Networks
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Multimodal Machine Learning Applications
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Topic Modeling
- Video Analysis and Summarization
- Fluid Dynamics Simulations and Interactions
- Integrated Energy Systems Optimization
- Advanced Image and Video Retrieval Techniques
- RNA Research and Splicing
- Smart Grid and Power Systems
- Human Pose and Action Recognition
- Multiferroics and related materials
- Spacecraft and Cryogenic Technologies
- MicroRNA in disease regulation
- Nonlinear Differential Equations Analysis
- Rough Sets and Fuzzy Logic
- Ship Hydrodynamics and Maneuverability
- Power Systems and Renewable Energy
- Ferroelectric and Piezoelectric Materials
- Graphene research and applications
- Domain Adaptation and Few-Shot Learning
- Energy Load and Power Forecasting
Beihang University
2024-2025
Chongqing Medical University
2022-2024
Sun Yat-sen University
2018-2024
Qilu University of Technology
2024
China Academy of Safety Sciences and Technology
2024
Shandong Academy of Sciences
2024
Zhujiang Hospital
2021-2024
Southern Medical University
2021-2024
Qingdao University of Technology
2024
Taizhou University
2024
Photocatalytic materials for environmental remediation of organic pollution and heavy metals require not only a strong visible light response high photocatalytic performance, but also the regeneration reuse catalysts. In this work, ternary hybrid structure material nanoscale zero valent iron (Fe0) doped g-C3N4/MoS2 layered (GCNFM) was synthesized by facile strategy. Compared with pure GCN, GCNM, Fe-GCN, photodegradation efficiency GCNFM toward RhB Cr(VI) under is considerably enhanced, to...
With the reformation of energy market and development intelligent technology, regional integrated system, as an important direction system development, is tending to play role in field supply demand response program. This paper presents optimal operation model considering price. In this paper, typical structure each module are first introduced detail, presented includes three subsystems: power supply, heating, cooling. Second, a complete scheduling scheme built based on consumption...
Four novel complexes, {[Ni4(HEIDC)4(H2O)8]·2H2O} (1), {[Mn(HEIDC)(4,4′-bipy)0.5(H2O)]·H2O}n (2), [Mn6(EIDC)4(py)(H2O)4]n (3), and {[Cd2(EIDC)(H2EIDC)(4,4′-bipy)1.5]·H2O}n (4) (H3EIDC = 2-ethyl-1H-imidazole-4,5-dicarboxylic acid, 4,4′-bipy 4,4′-bipyridine, py pyridine) have been hydro(solvo)thermally synthesized by fine control over synthetic conditions, such as solvent pH value, structurally characterized. It is shown through single-crystal X-ray diffractions that the ligands H3EIDC can be...
Diabetic kidney disease is associated with the dysbiosis of gut microbiota and its metabolites. db/db mice were fed chow diet or without 0.4% resveratrol for 12 weeks, after which microbiota, faecal short-chain fatty acids (SCFAs), renal fibrosis analysed. Resveratrol ameliorated progression diabetic alleviated tubulointerstitial fibrosis. Further studies showed that was modulated by resveratrol, characterised expansion SCFAs-producing bacteria Faecalibaculum Lactobacillus, increased...
Abstract Understanding the genetic variation underlying transcript splicing is essential for fully dissecting molecular mechanisms of common diseases. The available evidence from quantitative trait locus (sQTL) studies using pancreatic ductal adenocarcinoma (PDAC) tissues have been limited to small sample sizes. Here we present a genome-wide sQTL analysis identify SNP that control mRNA in 176 PDAC samples TCGA. From this analysis, 16,175 sQTLs were found be significantly enriched RNA-binding...
Recent years have witnessed remarkable progress on knowledge graph embedding (KGE) methods to learn the representations of entities and relations in static graphs (SKGs). However, changes over time. In order represent facts happening a specific time, temporal (TKG) approaches are put forward. While most existing models ignore independence semantic information. We empirically find that current difficulty distinguishing same entity or relation at different timestamps. this regard, we propose...
Video Moment Retrieval and Highlight Detection aim to find corresponding content in the video based on a text query. Existing models usually first use contrastive learning methods align features, then fuse extract multimodal information, finally Transformer Decoder decode information. However, existing face several issues: (1) Overlapping semantic information between different samples dataset hinders model's aligning performance; (2) are not able efficiently local features of video; (3) The...
Multi-modal Knowledge Graph Completion (KGC), which aims to enrich knowledge graph embeddings by incorporating images and text as supplementary information alongside triplets, is an significant task in learning KGs. Existing multi-modal KGC methods mainly focus on modalitylevel fusion, neglecting the importance of modeling complex structures, such hierarchical circular patterns. To address this, we propose a Mixed-Curvature method (MCKGC) that embeds into three single-curvature spaces,...
Abstract Background Acute coronary syndrome (ACS) may induce cardiovascular death. The correlation of mast cells related microRNAs (miRs) with risk ACS has been investigated. We explored regulatory mechanism miR‐335‐5p on macrophage innate immune response, atherosclerotic vulnerable plaque formation, and revascularization in relation to Notch signaling. Methods ACS‐related gene microarray was collected from Gene Expression Omnibus database. After different agomir or antagomir, inhibitor...
Small cell lung cancer (SCLC) is a devastating and aggressive neuroendocrine carcinoma characterized by high cellular proliferation early metastatic spread. Numerous studies have demonstrated that long noncoding RNAs (lncRNAs) can regulate tumor generation development, including in SCLC. The current study aimed to assess the effect of lncRNA, KCNQ1OT1, on proliferation, apoptosis, chemoresistance SCLC potential underlying molecular mechanism.Matched chemo-resistant sensitive cells were...
Text-conditioned image generation has gained significant attention in recent years and are processing increasingly longer comprehensive text prompt. In everyday life, dense intricate appears contexts like advertisements, infographics, signage, where the integration of both visuals is essential for conveying complex information. However, despite these advances, images containing long-form remains a persistent challenge, largely due to limitations existing datasets, which often focus on...