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| 1 | Clinical risk score for invasive fungal diseases in patients with hematological malignancies undergoing chemotherapy:China Assessment of Antifungal Therapy in Hematological Diseases (CAESAR) study显示文摘Invasive fungal disease (IFD) is a major infectious complication in patients with hematological malignancies.In this study,we examined 4889 courses of chemotherapy in patients with hematological diseases to establish a training dataset (n=3500) by simple random sampling to develop a weighted risk score for proven or probable IFD through multivariate regression,which included the following variables: male patients,induction chemotherapy for newly diagnosed or relapsed disease,neutropenia,neutropenia longer than 10 days,hypoalbuminemia,central-venous catheter,and history of IFD.The patients were classified into three groups,which had low (0-10,~1.2%),intermediate (11-15,6.4%),and high risk (> 15,17.5%) of IFD.In the validation set (n=1389),the IFD incidences of the groups were ~1.4%,5.0%,and 21.4%.In addition,we demonstrated that antifungal prophylaxis offered no benefits in low-risk patients,whereas benefits were documented in intermediate (2.1% vs.6.6%,P=0.007) and high-risk patients (8.4% vs.23.3%,P=0.007).To make the risk score applicable for clinical settings,a pre-chemo risk score that deleted all unpredictable factors before chemotherapy was established,and it confirmed that anti-fungal prophylaxis was beneficial in patients with intermediate and high risk of IFD.In conclusion,an objective,weighted risk score for IFD was developed,and it may be useful in guiding antifungal prophylaxis. | Ling Wang Ying Wang Jiong Hu Yuqian Sun He Huang Jing Chen Jianyong Li Jun Ma Juan Li Yingmin Liang Jianmin Wang Yan Li Kang Yu Jianda Hu Jie Jin Chun Wang Depei Wu Yang Xiao Xiaojun Huang | 2019 | Frontiers of Medicine2019，13，3： | 10 |
| 2 | Response of MG63 Osteoblast Cells to Surface Modification of Ti-6Al-4V Implant Alloy by Laser Interference Lithography显示文摘 | Qi Liu Wenjun Li Liang Cao Jiajia Wang Yingmin Qu Xinyue Wang Rongxian Qiu Xu Di Zuobin Wang Bojian Liang | 2017 | Journal of Bionic Engineering2017，14，3： | 4 |
| 3 | Characterization of volatile aroma compounds in different brewing barley cultivars 显示文摘 | DONG LIANG HOU YINGMIN LI Feng | 2015 | Journal of the Science of Food and Agriculture2015，95，5： | 1 |
| 4 | RING1 inhibits transcriptional activation of Notch mediated by RBP-J through interaction with LIM protein KyoT2显示文摘 | Hongyan Qin Jishau Wang Yingmin Liang | 2004 | Nucleic Acids Res2004，32，4： | 1 |
| 5 | The e / a values of ideal metallic glasses in relation to cluster formulae显示文摘 | Guang Han Jianbing Qiang Fengwei Li Liang Yuan Shiguan Quan Qing Wang Yingmin Wang Chuang Dong Peter H?ussler | 2011 | Acta Materialia2011，，15： | 1 |
| 6 | The Inorganic-organic Hybrid Junction with n-ZnO Nanorods/p-polyfluorene Structure Grown with Low-temperature Aqueous Chemical Growth Method显示文摘The inorganic-organic hybrid junction was synthesized on ITO glass substrate,which was consisted of an n-type ZnO nanorods(NRs)grown by low-temperature aqueous chemical growth method and a p-type polyfluorene(PF)organic film fabricated by spin-coating.The experimental results indicate that densely and uniformly distributed ZnO nanorods are successfully grown on the PF layer.The thickness of the PF layer plays a dominant role for the current-voltage(I-V)characteristic of the ZnO NRs/PF inorganic-organic hybrid junction device,and a p-n junction with obviously rectifying behavior is achieved with optimal PF layer thickness.The photoluminescence(PL)spectrum covering the broad visible range was obtained from the n-ZnO nanorods/p-polyfluorene(PF)structure,which was originated from the combination of the PF-related blue emission and the ZnO-related deep level emission. | 吴伟 边继明 SUN Yinglan CHENG Chuanhui SUN Jingchang LIANG Hongwei LUO Yingmin DU Guotong | 2012 | Journal of Wuhan University of Technology(Materials Science)2012，27，2： | 0 |
| 7 | Application of the gradient-based watershed algorithm in M/A constituent identification显示文摘This paper reports the quantitative study of martensite/austenite(M/A)constituents in high-grade heavy steel plates using the gradient-based watershed algorithm.Compared with several other image segmentation algorithms,the gradient-based watershed algorithm can effectively remove noises in images with various qualities and identify M/A constituents.The results prove that the gradient-based watershed algorithm is an effective method that can be used to digitize microstructures and integrate the data into Process Intelligent Data Application System(PIDAS). | HAO Yingmin LIANG Xiaojun XING Zhao | 2022 | Baosteel Technical Research2022，16，2： | 0 |
| 8 | Quantitative analysis of microstructure based on machine learning and its application in product research and development显示文摘The material's microstructure is the output of the material composition and production process;simultaneously, it is the key factor in the material's performance and plays an important role in the material development cycle.The digital features of microstructures that can be recognized by a computer are obtained through the quantitative description of the material's microstructure, and a mathematical model is used to associate them with the composition, process, and properties.Combining the evolution mechanism of microstructure features can help quickly to predict microstructure properties, which can be used to optimize the composition and process, accelerate product development iteration, and solve the long cycle problem of traditional research and development mode while lowering the high cost of high-frequency trial production.This paper introduces the development and application of the combination of image knowledge, computer knowledge, and expert experience in the quantification of microstructures and the practical cases of recent studies of the Mask-Regions with Convolutional Neural Network Features(RCNN) method combined with machine learning in the digital research and development of heavy plates in Baosteel, and prospects the potential application of the quantification of microstructures of materials. | XING Zhao HAO Yingmin LIANG Xiaojun | 2022 | Baosteel Technical Research2022，16，2： | 0 |
| 9 | Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists显示文摘In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools. | Longjiang Zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong Bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists | 2022 | Intelligent Medicine2022，2，4： | 0 |
| 10 | Reducing systemic absorption and macrophages clearance of genistein by lipid-coated nanocrystals for pulmonary delivery显示文摘Pulmonary delivery is an effective drug delivery strategy for the treatment of local respiratory diseases.However,the rapid systemic absorption through the lung due to the thin barrier and persistent lung clearances influence the drug retention in the lung.In this study,we designed a lipid-coated genistein nanocrystals(Lipo-NCs)formulation to achieve enhanced efficiency of local pulmonary delivery.The LipoNCs were fabricated by modifying genistein nanocrystals(NCs)with phospholipid membrane through thin film hydration following the homogenization method.The prepared Lipo-NCs exhibited a decreased drug release rate compared with the naked NCs.Our results demonstrated that intracellular uptake and transcellular transport of NCs by the Calu-3 epithelial layer were reduced after lipid coating.Furthermore,the macrophages clearance was also impeded by this Lipo-NCs formulation.In vivo lung retention and distribution revealed that more genistein was retained in the lung after intratracheal administration of Lipo-NCs.The pharmacokinetic study displayed that the AUC((0-t))values of Lipo-NCs were 1.59-fold lesser than those of the NCs group,indicating a reduced systemic absorption.In conclusion,this research indicated that Lipo-NCs could be a suitable formulation for reducing systemic absorption and macrophages clearance,and thus enhancing drug concentration in lung by pulmonary delivery. | Yuan He Chang Liu Run Han Yingmin Liang Judith Choi Wo Mak Yinghao Zhu Haifeng Li Ying Zheng | 2023 | Chinese Chemical Letters2023，34，1： | 0 |
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