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| 1 | Metformin induces ferroptosis by targeting miR-324-3p/GPX4 axis in breast cancer显示文摘Metformin is a widely prescribed hypoglycemic drug.Many studies have shown its anti-cancer properties.In the present study,we aimed to explore the effect of metformin on breast cancer and clarify the underlying mechanism.Our results showed that metformin induced ferroptosis in MDA-MB-231 cells through upregulating miR-324-3p expression.Overexpression of miR-324-3p inhibited cancer cell viability.miR-324-3p inhibitor promoted cell viability.Further studies showed that the effect of miR-324-3p was mediated by directly targeting glutathione peroxidase 4(GPX4).miR-324-3p bound to the 3ʹ-UTR of GPX4 and led to the downregulation of GPX4.In vivo studies showed that metformin induced ferroptosis by upregulating miR-324-3p in the xenograft model of breast cancer in mice.Our study suggested that metformin promotes ferroptosis of breast cancer by targeting the miR-324-3p/GPX4 axis.Metformin could act as a potential anti-cancer agent through the induction of ferroptosis. | Yifeng Hou Shuang Cai Shouyang Yu Hui Lin | 2021 | Acta Biochimica et Biophysica Sinica2021，53，3： | 11 |
| 2 | Adsorption of mercury on laterite from Guizhou Province,China显示文摘The adsorption behaviors of Hg(Ⅱ) on laterite from Guizhou Province,China,were studied and the adsorption mechanism was discussed.The results showed that different mineral compositons in the laterite will cause differences in the adsorption capacity of laterite to Hg(Ⅱ).Illite and non-crystalloids are the main contributors to enhancing the adsorption capacity of laterite to Hg(Ⅱ).The pH of the solution is an important factor affecting the adsorption of Hg(Ⅱ) on laterite.The alkalescent environment (pH 7-9) is favorable to the adsorption of Hg(Ⅱ).The amount of adsorbed Hg(Ⅱ) increases with increasing pH.When the pH reaches a certain value,the amount of the adsorbed Hg(Ⅱ) will reach the maximum level.The amount of adsorbed Hg(Ⅱ) decreases with increasing pH.The optimal pHs of laterite and kaolinite are 9 and 8,respectively.The optimal initial concentrations of Hg(Ⅱ) on laterite and kaolinite are 250 and 200 μg/ml,respectively.The adsorption isotherms were described by the Langmuir model.The adsorption of Hg(Ⅱ) on laterite is a quick process while that of Hg(Ⅱ) on kaolinite is a slow reaction.Laterite from Guizhou Province is a promising environmental material which can be used in the removal of Hg(Ⅱ) from wastewater. | Xiaohong YU Shouyang HE | 2008 | Journal of Environmental Sciences2008，20，11： | 6 |
| 3 | FORECASTING CHINA'S FOREIGN TRADE VOLUME WITH A KERNEL-BASED HYBRID ECONOMETRIC-AI ENSEMBLE LEARNING APPROACH显示文摘Due to the complexity of economic system and the interactive effects between all kinds of economic variables and foreign trade, it is not easy to predict foreign trade volume. However, the difficulty in predicting foreign trade volume is usually attributed to the limitation of many conventional forecasting models. To improve the prediction performance, the study proposes a novel kernel-based ensemble learning approach hybridizing econometric models and artificial intelligence (AI) models to predict China's foreign trade volume. In the proposed approach, an important econometric model, the co-integration-based error correction vector auto-regression (EC-VAR) model is first used to capture the impacts of all kinds of economic variables on Chinese foreign trade from a multivariate linear anal- ysis perspective. Then an artificial neural network (ANN) based EC-VAR model is used to capture the nonlinear effects of economic variables on foreign trade from the nonlinear viewpoint. Subsequently, for incorporating the effects of irregular events on foreign trade, the text mining and expert's judgmental adjustments are also integrated into the nonlinear ANN-based EC-VAR model. Finally, all kinds of economic variables, the outputs of linear and nonlinear EC-VAR models and judgmental adjustment model are used as input variables of a typical kernel-based support vector regression (SVR) for en- semble prediction purpose. For illustration, the proposed kernel-based ensemble learning methodology hybridizing econometric techniques and AI methods is applied to China's foreign trade volume predic- tion problem. Experimental results reveal that the hybrid econometric-AI ensemble learning approach can significantly improve the prediction performance over other linear and nonlinear models listed in this study. | Lean YU Shouyang WANG Kin Keung LAI | 2008 | Journal of Systems Science & Complexity2008，21，1： | 5 |
| 4 | The geochemical characteristics of aqueous rare-earth elements in shallow karst groundwater in Guiyang City, China显示文摘Fifty-seven shallow groundwater samples were collected from Guiyang karst basin, China, to analyze the aqueous rare-earth elements in low-water seasons and it is shown that the total amount of rare-earth elements (ΣREE) in karst groundwater is exceedingly low compared with that in carbonate rocks or weathering crusts of carbonate rocks, and ranges from 0.01 to 0.43, from 0.03 to 0.27, from 0.03 to 0.19 and from 0.05 to 1.38 μg·L-1 for dolomite, dolomitic & limestone, limestone and clastic rock aquifer, respectively. Both distributions and contents of rare-earth elements (REE) in karst groundwater reflect the lithology of host rocks or weathering crusts of carbonate rocks through which groundwater flows. The chondrite-normalized patterns show a non-flat profile with higher enrichment of slightly light rare-earth elements (LREE) than heavy rare-earth elements (HREE), prominent fractionation between LREE and HREE, negative Ce anomalies and negative or positive Eu anomalies. There is more obvious fractionation between LREE and HREE in groundwater than that in carbonate rocks and their weathering crusts due to high contents of HCO3? and PH in groundwater. In shallow karst groundwater, REE(CO3)n2n-3 (n=1 and 2) is the main inorganic species of REE. But for a clastic rock aquifer, both REESO4+ and REECO3+ are the main inorganic species of REE. Species of REE in groundwater is closely associated with the hydrochemical type of groundwater which is predominated by the lithology of host rocks, groundwater-rock interaction and weathering-pedogenesis of carbonate rocks. | HE Shouyang ZHU Lijun YANG Ruidong SHEN Zheng YU Xiaohong | 2011 | Chinese Journal Of Geochemistry2011，30，1： | 4 |
| 5 | A study on the adsorption of chromium on laterite from Guizhou Province,China显示文摘The adsorption behaviors of Cr(VI) on laterite from Guizhou Province were studied in this paper, and the adsorption mechanism was discussed as well. Results showed that different mineral compositions in the laterite would cause differences in the capacity of laterite to absorb Cr(VI). Gibbsite, iron oxide minerals and non-crystalloids are the main contributors to enhancing the capacity of laterite to absorb Cr(VI). The pH of the solution is an important factor affecting the adsorption of Cr(VI) on laterite. Acidic environment (pH=2-5) is favorable to the adsorption of Cr(VI). The amount of adsorbed Cr(VI) decreases with increasing pH of the solution. With increasing initial concentrations of Cr(VI), the amount of adsorbed Cr(VI) increases first, and then decreases. The optimal adsorption concentration of Cr(VI) on laterite is 250 μg/mL. The adsorption of Cr(VI) on laterite is a rapid process, about 80% Cr(VI) will be adsorbed within 2 hours. And the adsorption of Cr(VI) on kaolinite is a slow process. | YU Xiaohong ZHU Lijun GUO Baiwei HE Shouyang | 2009 | Chinese Journal Of Geochemistry2009，28，2： | 2 |
| 6 | OPTIMAL STARTING PRICE FOR EBAY-LIKE ONLINE AUCTIONS显示文摘底价拍卖是在传统的拍卖理论的热研究问题之一。这里,我们在联机拍卖学习开始的价格,在传统的拍卖的公共底价的对应物。由认为象eBay一样的三个特征联机,投标人(到泊松过程的题目)的 auctions:stochastic 入口,与开始的价格成正比的插入费用,和时间打折,我们为最大化分析了开始的价格的极值点的性质卖主期望了收入,并且发现了那,在某些条件下面,最佳的开始价格应该在最低许可的水平,它与从经典拍卖理论的结果相反并且事实上发现它的 optimality 。我们也开发了多级式的拍卖的一个一般扩大模型并且在它的性质上执行了分析。最后,为进一步的研究的一些方向也被提出。 | Hai YU Shouyang WANG Chuangyin DANG | 2006 | Journal of Systems Science & Complexity2006，19，1： | 2 |
| 7 | Forecasting crude oil price with an EMD-based neural network ensemble learningparadigm 显示文摘 | Yu Lean Wang Shouyang Lai K K | 2008 | Eneregy Economics2008，30，5： | 1 |
| 8 | Neural network-based mean-variance-skewness model for portfolio selection显示文摘 | WANG SHOUYANG LAI KINKEUNG | 2008 | Computers & Operations Research2008，35，： | 1 |
| 9 | Co-evolution:A New Perspective for Business Model Innovation显示文摘This paper combines the perspective of co-evolution with studies in the area of business model, reveals the phenomenon of business model co-evolution and explores the business model coevolution mechanism between firms through a case study. Findings and what other companies can learn from this study are as follows. Firstly, companies, be it leaders or not, can act as enablers for other party’s business model innovation. Secondly, companies can enable each other’s business model innovation by taking the perspective of business model co-evolution; Thirdly, the interdependence of the business model co-evolution process can be explained by the four levers named novelty, lock-in,complementarity and efficiency. Companies can select novelty, lock-in, complementarity, efficiency or the combination of the four as mediators to achieve business model co-evolution. | Yi YU Yimei HU Han QIAO Shouyang WANG | 2018 | Journal of Systems Science and Information2018，9，5： | 1 |
| 10 | A neural-network- based nonlinear recta-modeling approach to financial time series forecasting显示文摘 | YU Lean WANG Shouyang LAI K K | 2009 | Applied Soft Computing2009，，： | 1 |
| 11 | Evolving least squares support vector machines for stock market trend mining 显示文摘 | YU LEAN CHEN HUANHUAN WANG SHOUYANG | 2009 | IEEE Transactions on Evolutionary Computation2009，13，1： | 1 |
| 12 | Mean-variance-skewness-kurtosis based portfolio optimization 显示文摘 | Kin Keung Lai Lean Yu Wang Shouyang | 2006 | Computer and computational Sciences2006，32，10： | 1 |
| 13 | Support vector machine based multi-agent ensemble learning for credit risk evaluation显示文摘 | Yu Lean Yue Wuyi Wang Shouyang | 2010 | Expert System with Applica- tions2010，37，2： | 1 |
| 14 | Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method显示文摘 | Xun Zhang Lean Yu Shouyang Wang Kin Keung Lai | 2009 | Energy Economics2009，31，5： | 1 |
| 15 | A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates显示文摘 | Yu Lean Wang Shouyang Lai Kin Keung | 2005 | Computers & Operations Research2005，32，10： | 1 |
| 16 | Credit risk assessment with a multi- stage neural network ensemble learning approach 显示文摘 | Yu L Wang Shouyang Lai K K | 2008 | Expert Sys- tems with Applications2008，34，2： | 1 |
| 17 | Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication显示文摘 | Kin Keung Lai Lean Yu Shouyang Wang | 2006 | Lecture Notes in Computer Science2006，3994，： | 1 |
| 18 | DESIGNING A HYBRID INTELLIGENT MINING SYSTEM FOR CREDIT RISK EVALUATION显示文摘在这研究,集成不平的集合理论和支持向量机器的一个新奇混合聪明的采矿系统被开发高效地为信用风险评估和分析从原来的信息桌子提取协会规则。在建议混合聪明的系统,支持向量机器被用作一个工具提取典型特征并且过滤它的噪音,它与不平的集合仅仅为支持向量机器被用作一个预处理器的以前的研究不同。如此的一条途径能减少信息桌子并且由不平的集合从减少的信息桌子产生最后的知识。因此,建议混合聪明的系统克服从一个训练支持向量机器分类器提取规则的 dificulty 并且拥有为 rough-set-based 途径正在缺乏的坚韧性。另外,建议混合聪明的系统的有效性与二真实世界的信用数据集被说明。 | Lean YU Shouyang WANG Fenghua WEN Kin Keung LAI Shaoyi HE | 2008 | Journal of Systems Science & Complexity2008，21，4： | 1 |
| 19 | Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm显示文摘 | Yu Lean Wang Shouyang Lai Kin Keung | 2008 | Energy Economics2008，30，5： | 1 |
| 20 | Credit Risk Assessment with a Multistage Neural Network Ensemble Learning Approach显示文摘 | Lean Yu Shouyang Wang Kin Keung Lai | | 0，，： | 1 |
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