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| 1 | Tumor-associated Exosomes Are Involved in Hepatocellular Carcinoma Tumorigenesis, Diagnosis, and Treatment显示文摘Hepatocellular carcinoma(HCC)has become a challenging disease worldwide.There are still limitations in the diagnosis and treatment of HCC,and its high metastatic capacity and high recurrence rate are the main reasons for its poor prognosis.The ability of extracellular vesicles(EVs)to transfer functionally-active substances and their widespread presence in almost all body fluids suggest their unprecedented potential in the study of various cancers.The unique physicochemical properties of EVs determine their potential as antitumor vaccines and drug carriers.In the last decade,the study of EVs in HCC has evolved from a single hot topic to a system with considerable scale.This paper summarizes the role of EVs,especially exosomes,in the occurrence,metastasis and tumor immunity of HCC,reviews their applications in tumor diagnosis,prognosis and treatment,describes the pros and cons of these studies,and looks forward towards the future research directions of EVs in HCC. | Hang Wang Liang Yu Peng Huang Yongxu Zhou Wangyang Zheng Nanfeng Meng Risheng He Yi Xu Tey Sze Keong Yunfu Cui | 2022 | Journal of Clinical and Translational Hepatology2022，10，3： | 2 |
| 2 | Mmune effects of nonylphenol on offspring of rats exposed during pregnancy 显示文摘 | Xu Jie Yu Jie WangYang | 2010 | Human and Ecological Risk Assessment2010，16，2： | 1 |
| 3 | The effect of different Fe 2+ concentrations in culture media on the recycling of ground tyre rubber by Acidithiobacillus ferrooxidans YT-1显示文摘 | Yuanhu Li Suhe Zhao Liqun Zhang Yaqin Wang Wangyang Yu | 2013 | Annals of Microbiology2013，，1： | 1 |
| 4 | Modeling and Analyzing of Breast Tumor Deterioration Process with Petri Nets and Logistic Regression显示文摘It is important to understand the process of cancer cell metastasis and some cancer characteristics that increase disease risk.Because the occurrence of the disease is caused by many factors,and the pathogenesis process is also complicated.It is necessary to use interpretable and visual modeling methods to characterize this complex process.Machine learning techniques have demonstrated extraordinary capabilities in identifying models and extracting patterns from data to improve medical prognostic decisions.However,in most cases,it is unexplainable.Using formal methods to model can ensure the correctness and understandability of prediction decisions in a certain extent,and can well visualize the analysis process.Coloured Petri Nets(CPN)is a powerful formal model.This paper presents a modeling approach with CPN and machine learning in breast cancer,which can visualize the process of cancer cell metastasis and the impact of cell characteristics on the risk of disease.By evaluating the performance of several common machine learning algorithms,we finally choose the logistic regression algorithm to analyze the data,and integrate the obtained prediction model into the CPN model.Our method allows us to understand the relations among the cancer cell metastasis and clearly see the quantitative prediction results. | Xuyue Wang Wangyang Yu Zeyuan Ding Xiaojun Zhai Sangeet Saha | 2022 | Complex System Modeling and Simulation2022，2，3： | 0 |
| 5 | Atom Recombination of Difluorocarbene Enables 3-Fluorinated Oxindoles from 2-Aminoarylketones显示文摘Contrary to the traditional implementation as a difluoromethyl group and recently disclosed role of C1 synthons in synthetic organic chemistry,difluorocarbene(:CF_(2))is reported herein to proceed in unprecedented atom recombination as both a C1 synthon and F1 reagent simultaneously to render valuable 3-fluorinated oxindoles from 2-aminoarylketones.The reaction does not require catalyst and features a broad range of substrates with good functional group compatibility and ease of execution.This transformation could be employed to the quick-constructions of certain bioactive molecule derivatives.The mechanistic experiments and density functional theory(DFT)calculations indicate that this atom recombination reaction of:CF_(2) for the synthesis of 3-fluorinated oxindoles may involve a rearrangement process of epoxide intermediates. | Guan Zhang Qianqian Shi Mengyuan Hou Kai Yang Shihui Wang Shuai Wang Wangyang Li Chaokun Li Jian Qiu Hetao Xu Lu Zhou Cece Wang Shi-Jun Li Yu Lan Qiuling Song | 2022 | CCS Chemistry2022，4，5： | 0 |
| 6 | Image analysis and machine learning-based malaria assessment system显示文摘Malaria is an important and worldwide fatal disease that has been widely reported by the World Health Organization(WHO),and it has about 219 million cases worldwide,with 435,000 of those mortal.The common malaria diagnosis approach is heavily reliant on highly trained experts,who use a microscope to examine the samples.Therefore,there is a need to create an automated solution for the diagnosis of malaria.One of the main objectives of this work is to create a design tool that could be used to diagnose malaria from the image of a blood sample.In this paper,we firstly developed a graphical user interface that could be used to help segment red blood cells and infected cells and allow the users to analyze the blood samples.Secondly,a Feed-forward Neural Network(FNN)is designed to classify the cells into two classes.The achieved results show that the proposed techniques can be used to detect malaria,as it has achieved 92%accuracy with a database that contains 27,560 benchmark images. | Kyle Manning Xiaojun Zhai Wangyang Yu | 2022 | Digital Communications and Networks2022，8，2： | 0 |
| 7 | Integrated analysis of single-cell and bulk RNA sequencing data reveals immune-related lncRNA-mRNA prognostic signature in triple-negative breast cancer显示文摘Triple-negative breast cancer(TNBC)is an aggressive subtype characterized by extensive tumor heterogeneity,with limited treatment options and a poor prognosis.1 We used cell type annotation and trajectory analysis to identify two distinct differentiation states of epithelial cells,while tumor cells predominantly resided on one of these branches.Inferring the malignant state of epithelial cells based on copy number variation,280 tumor cells were eventually identified from epithelial cells.Differential genes between tumor cells and non-tumor cells were mainly enriched in immune-related functions and pathways. | Hongying Zhao Lei Yu Lixia Wang Xiangzhe Yin Kailai Liu Wangyang Liu Shihua Lin Li Wang | 2024 | Genes & Diseases2024，11，2： | 0 |
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