Tan Ling

ORCID: 0000-0003-3306-1101
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About
Contact & Profiles
Research Areas
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Anesthesia and Sedative Agents
  • Algal biology and biofuel production
  • Intensive Care Unit Cognitive Disorders
  • Anesthesia and Neurotoxicity Research
  • Advanced Graph Neural Networks
  • Pharmacy and Medical Practices
  • Combustion and Detonation Processes
  • Traditional Chinese Medicine Analysis
  • Advanced Clustering Algorithms Research
  • Graph Theory and Algorithms
  • Evaluation Methods in Various Fields
  • Remote Sensing and Land Use
  • Data Mining Algorithms and Applications
  • Anaerobic Digestion and Biogas Production
  • Rocket and propulsion systems research
  • Artificial Intelligence in Healthcare
  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Soil, Finite Element Methods
  • Structural Response to Dynamic Loads
  • Cerebrovascular and genetic disorders
  • Information Retrieval and Search Behavior
  • European and International Contract Law

Beijing University of Posts and Telecommunications
2022-2024

Chongqing University of Technology
2022-2024

Chongqing University of Posts and Telecommunications
2023

West China Hospital of Sichuan University
2021-2022

Sichuan University
2021-2022

Chinese Academy of Medical Sciences & Peking Union Medical College
2022

Xiyuan Hospital
2022

China Academy of Chinese Medical Sciences
2022

Marine Design & Research Institute of China
2019

PLA Army Engineering University
2012

Microalgae-derived biochar are promising candidates to accelerate electron transfer during anaerobic digestion (AD) due inherent advantages, but the mechanisms unclear since they highly related microalgae species. In this work, distinct modulated by derived from Scenedesmus sp. (SBC) and Chlorella (CBC) were investigated two-stage AD. Overall, adding enhanced direct interspecies (DIET) increasing relative abundance of microorganisms like Firmicutes Methanosaeta. Furthermore, SBC showed a...

10.1021/acsestengg.3c00520 article EN ACS ES&T Engineering 2024-03-01

In the field of representation learning on knowledge graphs (KGs), a hyper-relational fact consists main triple and several auxiliary attribute-value descriptions, which is considered more comprehensive specific than triple-based fact. However, currently available KG embedding methods in single view are limited application because they weaken hierarchical structure that represents affiliation between entities. To overcome this limitation, we propose dual-view (DH-KG) contains instance for...

10.1609/aaai.v37i5.25795 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26

Purpose. The study was designed to investigate differences in predisposing factors, enabling reinforcing and smoking behavior among middle school students living the city, suburbs, rural areas of Shanghai. Design. A one-time cross-sectional survey design applied this study. Setting. conducted 11 schools three areas. Subjects. total number 1116 from these participated response rates were 92, 88, 84% for areas, respectively. Measure. PRECEDE instrument including predisposing, enabling, factors...

10.4278/0890-1171-11.5.331 article EN American Journal of Health Promotion 1997-05-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4775108 preprint EN 2024-01-01

Intradialytic hypotension (IDH) is a common complication among hemodialysis patients, adversely affecting quality of life and elevating mortality risk. IDH prediction enables physicians to take proactive measures, effectively reducing its occurrence. However, most works rely on machine learning models, with focus real-time or session-level IDH. Hemodialysis patient data multi-type temporal, necessitating research condition representation temporal information utilization. Knowledge graphs...

10.1109/jbhi.2024.3503061 article EN IEEE Journal of Biomedical and Health Informatics 2024-11-20
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