255 research outputs found
She jiao quan li gan zai she jiao he fei she jiao ling yu dui xiao fei zhe xing wei de ying xiang
Jia, Yanli.Thesis Ph.D. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 84-100).Abstracts also in Chinese.Title from PDF title page (viewed on 30, September, 2016).Jia, Yanli
Profiling and characterization of deep learning model inference on CPU
With the rapid growth of deep learning models and higher expectations for their accuracy and throughput in real-world applications, the demand for profiling and characterizing model inference on different hardware/software stacks is significantly increased. As the model inference characterization on GPU has already been extensively studied, it is worth exploring how performance-enhancing libraries like Intel MKL-DNN help to boost the performance on Intel CPU. We develop a profiling mechanism to capture the MKL-DNN operation calls and formulate the tracing timeline with spans on the server. Through profiling and characterization that give insights into Intel MKL-DNN, we evaluate and demonstrate that the optimization techniques, including blocked memory layout, layers fusion, and low precision operation used in deep learning model inference, have accelerated the performance on the Intel CPU.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-05-01The student, Yanli Qian, accepted the attached license on 2020-04-28 at 07:31.The student, Yanli Qian, submitted this Thesis for approval on 2020-04-28 at 07:33.This Thesis was approved for publication on 2020-04-28 at 10:42.DSpace SAF Submission Ingestion Package generated from Vireo submission #15088 on 2020-08-25 at 17:41:19Made available in DSpace on 2020-08-27T00:50:04Z (GMT). No. of bitstreams: 2
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碳纤维上浆剂的研究进展
The role of carbon fiber sizing agent was introduced. The research progress in the preparation of solvent-based, watersoluble, aqueous emulsion type and nanoparticle-modified carbon fiber sizing agents were reviewed
Correction: Pinin interacts with C-terminal binding proteins for RNA alternative splicing and epithelial cell identity of human ovarian cancer cells
Present: Due to an omission on the part of the author, the affliations of the first author are incomplete.
Corrected: Additional affliation information for the first author is listed below. The authors sincerely apologize for this error.
Original article: Oncotarget. 2016; 7(10):11397-11411. DOI:10.18632/oncotarget.7242.
PRESENT LIST:
Yanli Zhang1, Jamie Sui-Lam Kwok2, Pui-Wah Choi1, Minghua Liu2, Junzheng Yang1, Margit Singh1, Shu-Kay Ng4, William R. Welch5, Michael G. Muto1, Stephen KW Tsui2, Stephen P. Sugrue3, Ross S. Berkowitz1, Shu-Wing Ng1
1 Laboratory of Gynecologic Oncology, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
2 School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong
3 Department of Anatomy and Cell Biology, University of Florida College of Medicine, Gainesville, FL, USA
4 School of Medicine and Menzies Health Institute Queensland, Griffith University, Meadowbrook, Australia
5 Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
UPDATED LIST:
Yanli Zhang1,6, Jamie Sui-Lam Kwok2, Pui-Wah Choi1, Minghua Liu2, Junzheng Yang1, Margit Singh1, Shu-Kay Ng4, William R. Welch5, Michael G. Muto1, Stephen KW Tsui2, Stephen P. Sugrue3, Ross S. Berkowitz1, Shu-Wing Ng1
1 Laboratory of Gynecologic Oncology, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
2 School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong
3 Department of Anatomy and Cell Biology, University of Florida College of Medicine, Gainesville, FL, USA
4 School of Medicine and Menzies Health Institute Queensland, Griffith University, Meadowbrook, Australia
5 Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
6 Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaFull Tex
Research on the Risk Management of Shantytown Renovation Project Based on Grey Clustering Method
In this paper, the risk evaluation model of shantytown transformation is constructed with the second area shantytown transformation project of Q city as a research case. Firstly, the brainstorming method and Delphi method are used to determine the risk evaluation index system of shantytown transformation, secondly, the weights of the evaluation model are determined by a linear combination of the C-OWA operator assignment method and entropy weighting method, which reduces the subjective influence of the assignment, and finally, the grey clustering method is used to assess the risk level of the shantytown transformation, and relevant measures are proposed to reduce the risk of the shantytown transformation according to the results, which reduces to a certain degree the the possibility of risk occurrence in the process of shantytown transformation, providing theoretical guidance for the shantytown transformation project in Q city
Research on the tourism resource development from the perspective of network capability--Taking Wuxi Huishan Ancient Town as an example
Molecular authentication and phylogenetic studies of Chinese herbs.
Wang, Yanli.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (leaves 90-104).In English with some Chinese characters; abstract also in Chinese.Acknowledgement --- p.IAbstract --- p.III摘要 --- p.VTable of Content --- p.VIIList of Figures --- p.XIIIList of Tables --- p.XVAbbreviations --- p.XVIChapter Chapter 1. --- Introduction --- p.1Chapter 1.1. --- Traditional Chinese Medicine (TCM) --- p.1Chapter 1.2. --- The development history and present situation of Traditional Chinese Medicine --- p.2Chapter 1.3. --- Modernization of Traditional Chinese Medicine --- p.3Chapter 1.4. --- Authentication of Traditional Chinese Medicines --- p.4Chapter 1.5. --- Methods for authentication of Traditional Chinese Medicine --- p.5Chapter 1.5.1. --- Morphological and histological methods --- p.5Chapter 1.5.2. --- Chemical methods --- p.6Chapter 1.5.3. --- Molecular methods --- p.6Chapter 1.6. --- DNA regions suitable for molecular authentication of Traditional Chinese Medicine --- p.8Chapter 1.6.1. --- The chloroplast genome --- p.8Chapter 1.6.2. --- Nuclear sequences --- p.9Chapter 1.6.3. --- Mitochondrial genome --- p.12Chapter 1.7. --- Herb Tu Si Zi --- p.12Chapter 1.7.1. --- The identity of Traditional Chinese Medicine Tu Si Zi --- p.12Chapter 1.7.2. --- The medicinal values of Tu Si Zi --- p.13Chapter 1.7.3. --- Local substitutes of Tu Si Zi --- p.14Chapter 1.7.4. --- The need for molecular authentication of Tu Si Zi --- p.15Chapter 1.8. --- Traditional Chinese Medicinal herbs from Isodon --- p.15Chapter 1.8.1. --- The genus Isodon --- p.15Chapter 1.8.2. --- Xi Huang Cao --- p.16Chapter 1.8.2.1. --- Identity of Xi Huang Cao --- p.16Chapter 1.8.2.2. --- Medicinal values of Xi Huang Cao --- p.17Chapter 1.8.2.3. --- Confusions of herb Xi Huang Cao --- p.17Chapter 1.8.3. --- Dong Ling Cao --- p.18Chapter 1.8.3.1. --- Identity of Dong Ling Cao --- p.18Chapter 1.8.3.2. --- Medicinal values of Dong Ling Cao --- p.18Chapter 1.8.4. --- The molecular authentication of two Isodon herbs --- p.19Chapter 1.9. --- Fagaropsis and Luvunga --- p.20Chapter 1.9.1. --- The classification of Rutaceae --- p.20Chapter 1.9.2. --- Controversial taxonomic issues with Fagaropsis and Luvunga --- p.21Chapter 1.9.3. --- The need of phylogenetic studies of genus Fagaropsis and Luvunga --- p.23Chapter Chapter 2. --- Objectives --- p.24Chapter Chapter 3. --- Materials and Methods --- p.25Chapter 3.1. --- Samples used in this study --- p.25Chapter 3.1.1. --- Tu Si Zi (Dodder seeds) --- p.25Chapter 3.1.2. --- Isodon herbs --- p.28Chapter 3.1.3. --- Fagaropsis and Luvunga --- p.31Chapter 3.2. --- Methods --- p.34Chapter 3.2.1. --- Sample preparation --- p.34Chapter 3.2.2. --- Total DNA extraction --- p.34Chapter 3.2.2.1. --- Cetyltriethylammonium bromide extraction --- p.34Chapter 3.2.2.2. --- Commercial kit extraction --- p.36Chapter 3.2.3. --- DNA amplification --- p.38Chapter 3.2.3.1. --- psbA-trnH intergenic spacer --- p.39Chapter 3.2.3.2. --- trnL-trnF region --- p.39Chapter 3.2.3.3. --- ITS region --- p.42Chapter 3.2.4. --- Agarose gel electrophoresis --- p.43Chapter 3.2.5. --- Purification of PCR product --- p.44Chapter 3.2.6. --- Cloning --- p.46Chapter 3.2.6.1. --- Ligation --- p.46Chapter 3.2.6.2. --- Transformation --- p.46Chapter 3.2.6.3. --- Cell cultivation --- p.47Chapter 3.2.6.4. --- Plasmid extraction --- p.47Chapter 3.2.6.5. --- Insert confirmation --- p.49Chapter 3.2.7. --- DNA sequencing --- p.49Chapter 3.2.7.1. --- Cycle sequencing --- p.49Chapter 3.2.7.2. --- Purification of cycle sequencing product --- p.50Chapter 3.2.7.3. --- DNA analysis --- p.50Chapter 3.2.8. --- Sequence analysis and phylogeny construction --- p.51Chapter Chapter 4. --- Tu Si Zi (Dodder Seeds) - Results and Discussion --- p.52Chapter 4.1. --- Results --- p.52Chapter 4.1.1. --- Dendrogram constructed using psbA-trnH intergenic spacer --- p.52Chapter 4.1.2. --- Dendrogram constructed using trnL-trnF region --- p.53Chapter 4.1.3. --- Dendrogram constructed with the combination of psbA-trnH and trnL-trnF region --- p.59Chapter 4.2 --- Discussion --- p.60Chapter 4.2.1. --- Identification of DNA markers for Cuscuta species --- p.60Chapter 4.2.2. --- Molecular authentication of dodder seeds --- p.60Chapter Chapter 5. --- Isodon herbs - Results and Discussion --- p.64Chapter 5.1. --- Results --- p.64Chapter 5.1.1. --- Dendrogram constructed with internal transcribed spacer 1 --- p.64Chapter 5.1.2. --- Dendrogram established with internal transcribed spacer 2 --- p.65Chapter 5.1.3. --- Dendrogram established with the whole internal transcribed spacer region --- p.66Chapter 5.2. --- Discussion --- p.73Chapter 5.2.1. --- ITS region performing as DNA marker for Dong Ling Cao --- p.73Chapter 5.2.2. --- The identify of TCM materials of Xi Huang Cao --- p.73Chapter Chapter 6. --- Fagaropsis and Luvunga - Results and Discussion --- p.75Chapter 6.1. --- Results --- p.75Chapter 6.1.1. --- Phylogenetic tree constructed with internal transcribed spacer 1 --- p.76Chapter 6.1.2. --- Phylogenetic tree constructed with trnL-trnF region --- p.76Chapter 6.1.3. --- Phylogenetic tree constructed with combined of trnL-trnF region and ITS-1 region --- p.77Chapter 6.1.4. --- The location of Fagaropsis and Luvunga in 3 different phylogenetic trees --- p.78Chapter 6.2. --- Discussion --- p.85Chapter 6.2.1. --- Fagaropsis 一 a member of the ´بProto-Rutaceae´ة group --- p.85Chapter 6.2.2. --- Luvunga 一 a member of Aurantioideae --- p.86Chapter 6.2.3. --- DNA sequencing providing a useful methodology in plant phylogenetic studies --- p.87Chapter Chapter 7. --- Conclusions --- p.89References --- p.90Appendix 1. Sequence alignment ofpsbA-trnH intergenic spacer of dodder --- p.105Appendix 2. Sequence alignment of trnL-trnF region of dodder samples --- p.108Appendix 3. Sequence alignment of ITS region of Isodon herbs and specimens --- p.117Appendix 4. Sequence alignment of ITS-1 region of Rutaceae species --- p.124Appendix 5. Sequence alignment of trnL-trnF region of Rutaceae species --- p.12
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