| 1 | Progress in additive manufacturing on new materials: A review显示文摘Recent efforts and advances in additive manufacturing(AM) on different types of new materials are presented and reviewed. Special attention is paid to the material design of cladding layers, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the AM process, and the resulted microstructures and properties, as well as the relationship between these factors. Thereafter,the trend of development in the future is forecasted, including: Effects of the particles size and size distribution of powders; Approaches for producing fine microstructures; Opportunities for creating new materials by AM; Wide applications in reconditioning of damaged components; Challenges for deep understanding and applications of the AMed new materials. The idea of 'Develop Materials' or 'Create Materials' by AM is highlighted, but a series of scientific, technological and engineering problems remain to be solved in future. | Neng Li Shuai Huang Guodong Zhang Renyao Qin Wei Liu Huaping Xiong Gongqi Shi Jon Blackburn | 2019 | Journal of Materials Science & Technology2019，35，2： | 47 |
| 2 | Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure:A Multicenter Study in China显示文摘Background and Aims:Timely and effective assessment scoring systems for predicting the mortality of patients with hepatitis E virus-related acute liver failure(HEV-ALF)are urgently needed.The present study aimed to establish an effective nomogram for predicting the mortality of HEV-ALF patients.Methods:The nomogram was based on a cross-sectional set of 404 HEV-ALF patients who were identified and enrolled from a cohort of 650 patients with liver failure.To compare the performance with that of the model for end-stage liver disease(MELD)scoring and CLIF-Consortiumacute-on-chronic liver failure score(CLIF-C-ACLFs)models,we assessed the predictive accuracy of the nomogram using the concordance index(C-index),and its discriminative ability using time-dependent receiver operating characteristics(td-ROC)analysis,respectively.Results:Multivariate logistic regression analysis of the development set carried out to predict mortality revealed that γ-glutamyl transpeptidase,albumin,total bilirubin,urea nitrogen,creatinine,international normalized ratio,and neutrophil-to-lymphocyte ratio were independent factors,all of which were incorporated into the new nomogram to predict the mortality of HEV-ALF patients.The area under the curve of this nomogram for mortality prediction was 0.671(95%confidence interval:0.602-0.740),which was higher than that of the MELD and CLIF-C-ACLFs models.Moreover,the td-ROC and decision curves analysis showed that both discriminative ability and threshold probabilities of the nomogram were superior to those of the MELD and CLIF-C-ACLFs models.A similar trend was observed in the validation set.Conclusions:The novel nomogram is an accurate and efficient mortality prediction method for HEV-ALF patients. | Jian Wu Cuifen Shi Xinyu Sheng Yanping Xu Jinrong Zhang Xinguo Zhao Jiong Yu Xinhui Shi Gongqi Li Hongcui Cao Lanjuan Li | 2021 | Journal of Clinical and Translational Hepatology2021，9，6： | 2 |
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