A5103128434- Breast Cancer Treatment Studies
- Topic Modeling
- Cancer Treatment and Pharmacology
- Bioinformatics and Genomic Networks
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Software Reliability and Analysis Research
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- HER2/EGFR in Cancer Research
- Breast Lesions and Carcinomas
- Biomedical Text Mining and Ontologies
- Liver Disease Diagnosis and Treatment
- Complex Network Analysis Techniques
- Computational Drug Discovery Methods
- Enzyme Catalysis and Immobilization
- Cholesterol and Lipid Metabolism
- MicroRNA in disease regulation
- Chemical Synthesis and Analysis
- Reliability and Maintenance Optimization
- Risk and Safety Analysis
- Genomics and Rare Diseases
- Genomics, phytochemicals, and oxidative stress
- Gene expression and cancer classification
- Circular RNAs in diseases
Zhengzhou University of Light Industry
2021-2022
Shanghai Jiao Tong University
2016-2020
Shanxi Provincial Cancer Hospital
2016
First People's Hospital of Foshan
2016
General Hospital of Guangzhou Military Command
2013-2016
Ruijin Hospital
2016
Hebei University
2007
Nobiletin (NOB), a flavonoid with significant antioxidant potential, holds promise for treating nonalcoholic fatty liver disease (NAFLD). In this work, we aim to assess the effects and investigate molecular mechanisms of NOB on NAFLD. After using methionine choline-deficient diet induce C57BL/6J mice, as well oleic acid HepG2 L02 cells, administered an intervention. The results indicated that significantly ameliorated lipid deposition, oxidative stress, inflammation in NAFLD both models. Its...
A previous study demonstrated that non-anthracycline-containing docetaxel plus cyclophosphamide (TC) regimen was inferior to docetaxel, anthracycline and (TAC) in neoadjuvant treatment of triple-negative breast cancer (TNBC) human epidermal growth factor receptor-2-(HER2)-positive a short-term follow-up. Herein, long-term follow-up survival outcomes have been investigated.TNBC or HER2-positive patients were randomized receive 6 cycles TC TAC treatment. The primary endpoint pathological...
In the early named entity recognition models, most text processing focused only on representation of individual words and character vectors, paid little attention to semantic relationships between preceding following in an utterance, which led inability handle problem multiple meanings a word during recognition. To address this problem, models introduce mechanism Transformer model solve text. However, traditional leads high computational overhead due its fully connected structure. Therefore,...
Cigarette smoking entails chronic exposure to a mixture of harmful chemicals that trigger molecular changes over time, and is known increase the risk developing diseases. Risk assessment in context 21st century toxicology relies on elucidation mechanisms toxicity identification response markers, usually from high-throughput data, using advanced computational methodologies. The sbv IMPROVER Systems Toxicology challenge (Fall 2015-Spring 2016) aimed evaluate whether robust sparse (≤40 genes)...
Among many named entity recognition modes in natural languages, most of the processing text preprocessing stage only pays attention to vector representation single words and characters, seldom semantic relationship text. In language information, there are pronouns polysemous words, which makes problem appear stage. Based on this problem, paper adopts a Chinese method based BERT-Transformer-BiLSTM-CRF model. First, use pre-trained BERT model large-scale corpus dynamically generate sequence...
The main steps in a graph neural network are message propagation and aggregation between nodes. Message allows messages from distant nodes the to be transmitted central node, while feature node obtain regarding its neighbors update itself, so that it can express deep-layer features. Because structure data have no local translation invariance, number of each is different, there order, two difficulties: (1) how design reliable method better all topologies; (2) function weigh features global In...
In this note, system Posbist reliability theories are improved due to the distribution functions of lifetime components different. The simulations given compare between different typical systems.