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| 1 | Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms显示文摘The main purpose of blasting operation is to produce desired and optimum mean size rock fragments.Smaller or fine fragments cause the loss of ore during loading and transportation,whereas large or coarser fragments need to be further processed,which enhances production cost.Therefore,accurate prediction of rock fragmentation is crucial in blasting operations.Mean fragment size(MFS) is a crucial index that measures the goodness of blasting designs.Over the past decades,various models have been proposed to evaluate and predict blasting fragmentation.Among these models,artificial intelligence(AI)-based models are becoming more popular due to their outstanding prediction results for multiinfluential factors.In this study,support vector regression(SVR) techniques are adopted as the basic prediction tools,and five types of optimization algorithms,i.e.grid search(GS),grey wolf optimization(GWO),particle swarm optimization(PSO),genetic algorithm(GA) and salp swarm algorithm(SSA),are implemented to improve the prediction performance and optimize the hyper-parameters.The prediction model involves 19 influential factors that constitute a comprehensive blasting MFS evaluation system based on AI techniques.Among all the models,the GWO-v-SVR-based model shows the best comprehensive performance in predicting MFS in blasting operation.Three types of mathematical indices,i.e.mean square error(MSE),coefficient of determination(R^(2)) and variance accounted for(VAF),are utilized for evaluating the performance of different prediction models.The R^(2),MSE and VAF values for the training set are 0.8355,0.00138 and 80.98,respectively,whereas 0.8353,0.00348 and 82.41,respectively for the testing set.Finally,sensitivity analysis is performed to understand the influence of input parameters on MFS.It shows that the most sensitive factor in blasting MFS is the uniaxial compressive strength. | Enming Li Fenghao Yang Meiheng Ren Xiliang Zhang Jian Zhou Manoj Khandelwal | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 3 |
| 2 | Sol-gel derived hydroxyapatite/titania biocoatings on titanium substrate 显示文摘 | Xu Wei Hu Wangyu Li Meiheng | 2006 | Materials Letters2006，60，1314： | 1 |
| 3 | Enhancement of the bioactivity of titanium oxide nanotubes by precalcification显示文摘 | Ma Qiqi Li Meiheng Hu Ziying | | 0，，09： | 1 |
| 4 | Thermal shock behavior of EB-PVD thermal barrier coatings 显示文摘 | Li Meiheng Sun Xiaofeng Hu Wangyu | 2007 | Surfaee and Coatings Technol- ogy2007，201，1617： | 1 |
| 5 | Thermocyclic behavior of sputtered NiCrA1Y/EB - PVD 7wt% Y2 O3 - ZrO2 thermal barrier coatings显示文摘 | Meiheng Li Xiaofeng Sun Wangyu Hua | 2006 | Surface and Coatings Technology2006，200，： | 1 |
| 6 | 查看详情显示文摘 | Li Meiheng Sun Xiaofeng Hu Wangyu | | 0，，1： | 1 |
| 7 | Micmstructural Changes and Elemental Diffusion of Sputtered NiCrA1Y Coat- ing on a Ni-Base SC Superalloy Subjected to High Tempera- ture 显示文摘 | Li Meiheng Sun Xiaofeng Hu Wangyu | 2007 | Materials Letters2007，61，29： | 1 |
| 8 | Microstructral changes and elemental diffusion of sputtered NiCrAlY coating on a Ni-base SC Superalloy subjected to high temperature显示文摘 | Li Meiheng Sun Xiaofeng Hu Wangyu | 2007 | Materials Letters2007，61，： | 1 |
| 9 | Sol-gel derived hydroxyapatite/titania biocoatings on titanium substrate 显示文摘 | Wei Xu Wangyu Hu Meiheng Li | 2006 | Materials Letters2006，60，1314： | 1 |
| 10 | Drug discovery of sclerostin inhibitors显示文摘Sclerostin, a protein secreted from osteocytes, negatively regulates the WNT signaling pathway by binding to the LRP5/6 co-receptors and further inhibits bone formation and promotes bone resorption. Sclerostin contributes to musculoskeletal system-related diseases, making it a promising therapeutic target for the treatment of WNT-related bone diseases. Additionally, emerging evidence indicates that sclerostin contributes to the development of cancers, obesity, and diabetes, suggesting that it may be a promising therapeutic target for these diseases. Notably, cardiovascular diseases are related to the protective role of sclerostin. In this review, we summarize three distinct types of inhibitors targeting sclerostin, monoclonal antibodies, aptamers, and small-molecule inhibitors, from which monoclonal antibodies have been developed. As the first-in-class sclerostin inhibitor approved by the U.S. FDA,the monoclonal antibody romosozumab has demonstrated excellent effectiveness in the treatment of postmenopausal osteoporosis;however, it conferred high cardiovascular risk in clinical trials. Furthermore,romosozumab could only be administered by injection, which may cause compliance issues for patients who prefer oral therapy. Considering these above safety and compliance concerns, we therefore present relevant discussion and offer perspectives on the development of next-generation sclerostin inhibitors by following several ways, such as concomitant medication, artificial intelligence-based strategy, druggable modification, and bispecific inhibitors strategy. | Sifan Yu Dijie Li Ning Zhang Shuaijian Ni Meiheng Sun Luyao Wang Huan Xiao Dingdong Liu Jin Liu Yuanyuan Yu Zongkang Zhang Samuel Tin Yui Yeung Shu Zhang Aiping Lu Zhenlin Zhang Baoting Zhang Ge Zhang | 2022 | Acta Pharmaceutica Sinica B2022，12，5： | 1 |
| 11 | Micro- structral changes and elemental diffusion of sputtered NiCrA1Y coating on a Ni-base SC superalloy subjected to high temperature 显示文摘 | Li Meiheng Sun Xiaofeng Hu Wangyu | 2007 | Materials Letters2007，61，： | 1 |
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