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| 1 | Housing Wealth, Financial Wealth and Consumption in China显示文摘纸在城市的中国在财产财富和家庭消费的趋势运动调查在变化之间的关系。用向量错误修正 cointegration 模型,我们证明在城市的中国在家庭消费,可处理的收入,金融财富和住房财富之间有一种唯一的长期间 cointegrating 关系。当 cointegrated 系统被外部震动扰乱时,我们发现住房财富是恢复长期间平衡关系的唯一的因素。另外,我们的永久临时的变化分解分析都显示那在消费的运动的变化是永久的,支持消费行为的古典随机的散步假设。然而,在住房财富的短期的运动的变化的一个大比例被发现临时。 | Jie Chen Feng Guo Aiyong Zhu Associate Professor,School of Management,Fudan University,Shanghai,China. Senior Research Economist and Economics Lecturer,Haile/US Bank College of Business,Northern Kentucky University,Highland Heights,USA. Master Student,School of Economics,Fudan University,Shanghai,China. | 2009 | China & World Economy2009，17，3： | 10 |
| 2 | Analysis of the electric field and ion current density under ultra high- voltage direct-current transmission lines based on finite element method显示文摘 | Lu Tiebing Feng Hail Zhao Zhibin | 2007 | IEEE Transactions on Magnetics2007，43，4： | 1 |
| 3 | Evaluation of potential reference genes for qRT-PCR studies in human hepatoma cell lines treated with TNF-α显示文摘在这研究,八候选人引用基因的表达式, B2M , ACTB , GAPDH , HMBS , HPRT1 , TBP , UBC ,和 YWHAZ ,被检验鉴别由量的反向的抄写聚合酶的最佳的引用基因锁住在二个人的 hepatoma 房间的分析衬里的反应( qRT-PCR ), BEL-7402 和 SMMC-7721 ,与肿瘤坏死因素对待--(TNF-)为不同时间时期。这些基因的表示稳定性被三个独立算法分析:geNorm, NormFinder,和 BestKeeper。结果证明 TBP 是在在当前的试验性的条件下面的 BEL-7402 和 SMMC-7721 房间线的最稳定地表示的基因,并且参考基因的最佳的集合为精确正规化要求了,这是 TBP 和 HMBS,基于与 geNorm 决定的 pairwise 变化价值。UBC 和 ACTB 被一样的算法作为最不稳定的基因评价。我们的调查结果提供与 HMBS 同样内长的控制独自或在联合使用 TBP 能是为在与 TNF- 对待的人的 hepatoma 房间线使 qRT-PCR 数据正常化的一个可靠方法的证据。 | Chang Wu Xiang Wang Ming Zhong Hailing Liu Qiongqiong He Xiaojing Yang Jifang Wen Deyun Feng | 2013 | Acta Biochimica et Biophysica Sinica2013，45，9： | 1 |
| 4 | Detection and classification of pesticide residues in dandelion(Taraxacum officinale L.)by electronic nose combined with chemometric approaches显示文摘In this study,for the first time a suitable pesticide residue detection system for dandelion(Taraxacum officinale L.)was established based on electronic nose to determine and study the concentration of pesticide residue in dandelion.Dandelions were sprayed with different concentrations of pesticides(avermectin,trichlorfon,deltamethrin,and acetamiprid),respectively.Data collection was performed by application of an electronic nose equipped with 12 metal oxide semiconductor(MOS)sensors.Data analysis was conducted using different methods including BP neural network and random forest(RF)as well as the support vector machine(SVM).The results showed the superior effectiveness of SVM in discrimination and classification of non-exceeding maximum residue limits(MRLs)and exceeding MRLs standards.Moreover,the model trained by SVM has the best performance for the classification of pesticide categories in dandelion,and the classification accuracy was 91.7%.The results of this study can provide reference for further development and construction of efficient detection technology of pesticide residues based on electronic nose for agricultural products. | Jianlei Qiao Xinmei Jiang Xiaohui Weng Hongbo Cui Chang Liu Yuanjun Zou Hailing Yu Yucai Feng Zhiyong Chang | 2023 | International Journal of Agricultural and Biological Engineering2023，16，5： | 0 |
| 5 | Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning显示文摘Objective.To develop an artificial intelligence method predicting lymph node metastasis(LNM)for patients with colorectal cancer(CRC).Impact Statement.A novel interpretable multimodal AI-based method to predict LNM for CRC patients by integrating information of pathological images and serum tumor-specific biomarkers.Introduction.Preoperative diagnosis of LNM is essential in treatment planning for CRC patients.Existing radiology imaging and genomic tests approaches are either unreliable or too costly.Methods.A total of 1338 patients were recruited,where 1128 patients from one centre were included as the discovery cohort and 210 patients from other two centres were involved as the external validation cohort.We developed a Multimodal Multiple Instance Learning(MMIL)model to learn latent features from pathological images and then jointly integrated the clinical biomarker features for predicting LNM status.The heatmaps of the obtained MMIL model were generated for model interpretation.Results.The MMIL model outperformed preoperative radiology-imaging diagnosis and yielded high area under the curve(AUCs)of 0.926,0.878,0.809,and 0.857 for patients with stage T1,T2,T3,and T4 CRC,on the discovery cohort.On the external cohort,it obtained AUCs of 0.855,0.832,0.691,and 0.792,respectively(T1-T4),which indicates its prediction accuracy and potential adaptability among multiple centres.Conclusion.The MMIL model showed the potential in the early diagnosis of LNM by referring to pathological images and tumor-specific biomarkers,which is easily accessed in different institutes.We revealed the histomorphologic features determining the LNM prediction indicating the model ability to learn informative latent features. | Hailing Liu Yu Zhao Fan Yang Xiaoying Lou Feng Wu Hang Li Xiaohan Xing Tingying Peng Bjoern Menze Junzhou Huang Shujun Zhang Anjia Han Jianhua Yao Xinjuan Fan | 2022 | Biomedical Engineering Frontiers2022，3，1： | 0 |
| 6 | A bifunctional vinyl-sulfonium tethered peptide induced by thio-Michael-type addition reaction显示文摘The modification and functionalization of peptides is of great significance in modern biotechnology and drug development. Here we report a highly reactive Michael-type warhead for the covalently modification of cysteine on peptide and protein. By installing a vinyl group onto a methionine residue of peptide,the produced vinyl sulfonium can be efficiently nucleophilic added by appropriate cysteine residue of this peptide, and thus yield a cyclized peptide. This peptide cyclization strategy was proven to exhibit improved cell penetration and good stability. Moreover, a peptide ligand bearing vinyl sulfonium could covalently bind to the cysteine in the target protein, indicating the potential of vinyl sulfonium as a novel warhead for developing covalent peptide inhibitor. | Hongkun Xu Xuan Qin Yaping Zhang Chuan Wan Rui Wang Zhanfeng Hou Xiaofeng Ding Hailing Chen Ziyuan Zhou Yang Li Chenshan Lian Feng Yin Zigang Li | 2022 | Chinese Chemical Letters2022，33，4： | 0 |
| 7 | ADVANCES IN EXPERIMENTAL APPROACHES FOR INVESTIGATING CELL AGGREGATE MECHANICS显示文摘Cells tend to form hierarchy structures in native tissues.Formation of cell aggregates in vitro such as cancer spheroids and embryonic bodies provides a unique means to study the mechanical properties and biological behaviors/functions of their counterparts in vivo.In this paper,we review state-of-the-art experimental approaches to assess the mechanical properties and mechanically-induced responses of cell aggregates in vitro.These approaches are classified into five categories according to loading modality,including micropipette aspiration,centrifugation,compression loading,substrate distention,and fluid shear loading.We discussed the advantages and disadvantages of each approach,and the potential biomedical applications.Understanding of the mechanical behavior of cell aggregates provides insights to physical interactions between cells and integrity of biological functions,which may enable mechanical intervention for diseases such as atheromatosis and cancer. | Wenjun Zhang Shuqi Wang Min Lin Yulong Hail Guiping Zhao Tian Jian Lu Feng Xu | 2012 | Acta Mechanica Solida Sinica2012，25，5： | 0 |
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