2,008 research outputs found
Interview with Professor Ni Pengfei
No full textProf. Ni Pengfei, a member of UrbaChina, is Director of the Urban and Real Estate Economy Research Unit in the Institute of Finance and Trade Economics at the Chinese Academy of Social Sciences. The interview with professor Ni was conducted by Wang Ang, the host of the TV show, Caijing mingren fang[財經名人訪], in August 2012, at China Central Television . Wang Ang: What changes have occurred in urban competitiveness in China in recent years? Professor Ni: In general, no significant changes hav..
Interview with Professor Ni Pengfei
No full textProf. Ni Pengfei, a member of UrbaChina, is Director of the Urban and Real Estate Economy Research Unit in the Institute of Finance and Trade Economics at the Chinese Academy of Social Sciences. The interview with professor Ni was conducted by Wang Ang, the host of the TV show, Caijing mingren fang[財經名人訪], in August 2012, at China Central Television . Wang Ang: What changes have occurred in urban competitiveness in China in recent years? Professor Ni: In general, no significant changes hav..
Ni Pengfei 倪鹏飞, The characteristics, problems and policy recommendations about China's urbanisation
No full textProfessor Ni Pengfei 倪鹏飞. recently published an article in Zhongguo guoqing guoli ((Zhao Zheng 赵峥, Ni Pengfei 倪鹏飞, “Dangqian wo guo chengzhen hua fazhan de tezheng, wenti ji zhengce jianyi” 当前我国城镇化发展的特征、问题及政策建议, Zhongguo guoqing guoli 2012, 2. Full text available on CNKI)) Urbanisation is an important process, which promotes national economic and social development. It is also an important development strategy for China's 12th Five-Year Plan (2011-2015). The authors highlight several featu..
Ni Pengfei 倪鹏飞, The characteristics, problems and policy recommendations about China's urbanisation
No full textProfessor Ni Pengfei 倪鹏飞. recently published an article in Zhongguo guoqing guoli ((Zhao Zheng 赵峥, Ni Pengfei 倪鹏飞, “Dangqian wo guo chengzhen hua fazhan de tezheng, wenti ji zhengce jianyi” 当前我国城镇化发展的特征、问题及政策建议, Zhongguo guoqing guoli 2012, 2. Full text available on CNKI)) Urbanisation is an important process, which promotes national economic and social development. It is also an important development strategy for China's 12th Five-Year Plan (2011-2015). The authors highlight several featu..
The interview of Prof. Ni Pengfei
No full textProf. Ni Pengfei, a member of UrbaChina, is Director of the Urban and Real Estate Economy Research Unit in the Institute of Finance and Trade Economics at the Chinese Academy of Social Sciences. The interview with professor Ni was conducted by Wang Ang, the host of the TV show, Caijing mingren fang[財經名人訪], in August 2012, at China Central Television . The questions put to professor Ni in this interview included the following: “What are the main problems and disadvantages that China encounter..
Association knowledge in natural language learning
Full text linkSubmission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo termsThe student, Pengfei Yu, accepted the attached license on 2024-10-22 at 22:35.The student, Pengfei Yu, submitted this Dissertation for approval on 2024-10-22 at 22:41.This Dissertation was approved for publication on 2024-10-28 at 10:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #21267 on 2025-03-28 at 14:25:12Association is an important feature of natural language originates from the human's cognitive ability to associate concepts. It is the key to unveiling the computational mechanism of natural language, which is closely related to the research of natural language processing (NLP). However, the current dominant learning paradigm, which is based on neural models that combine distributed representations with probabilistic modeling, demonstrates insufficient capabilities in modeling associations in natural language. To compensate for the deficiency, we mathematically formulate the concept of Association Knowledge as the joint distribution over the probabilities of instances and establish a general methodology to incorporate association knowledge into the training architecture of neural models. We delve into Association Knowledge through a series of case studies across various dimensions, including associations among types of knowledge, languages, instances and unstructured information. These case studies span both smaller neural models and large language models. Through our investigations, we demonstrate that explicitly integrating Association Knowledge into neural architectures markedly improves model performance and efficiency. This enhanced capability is evident in diverse scenarios, from improving event detection in lifelong learning settings and facilitating robust cross-lingual translations, to enhancing the detection of long-tail mentions and refining the updates in large language models. Collectively, our findings underscore the pivotal role of Association Knowledge in advancing the state of NLP by fostering more robust and knowledge-aware neural models
Tuan liu re dui liu zhong su du chang jie gou han shu he liu dong xun huan de shi yan yan jiu
No full textQi, Pengfei = 湍流熱對流中速度場結構函數和流動循環的實驗研究 / 齊鵬飛.Thesis (M.Phil.)--Chinese University of Hong Kong, 2011.Includes bibliographical references (p. 65-69).Abstracts in English and Chinese.Qi, Pengfei = Tuan liu re dui liu zhong su du chang jie gou han shu he liu dong xun huan de shi yan yan jiu / Qi Pengfei.Abstract --- p.i摘要 --- p.iiAcknowledgements --- p.iiiContents --- p.ivList of Figures --- p.viList of Tables --- p.XChapter Chapter 1 --- Introduction --- p.1Chapter 1.1 --- What is turbulence? --- p.1Chapter 1.2 --- Why study turbulence and experimentally? --- p.2Chapter 1.3 --- Turbulent Rayleigh-Benard convection --- p.4Chapter 1.4 --- Basic equations and characteristic parameters --- p.SChapter 1.4.1 --- Continuity equation --- p.5Chapter 1.4.2 --- Momentum equation (Navier-Stokes equation) --- p.5Chapter 1.4.3 --- Energy equation --- p.7Chapter 1.4.4 --- Averaged equations --- p.9Chapter 1.4.5 --- Characteristic parameters --- p.10Chapter 1.5 --- Statistical properties in small-scale turbulence --- p.13Chapter 1.5.1 --- Phenomenological description and Kolmogorov hypotheses --- p.14Chapter 1.5.2 --- Local structure of the velocity fluctuations --- p.15Chapter 1.6 --- Large-scale circulation --- p.17Chapter 1.7 --- Motivation and Organizations of this thesis --- p.19Chapter 1.7.1 --- B059 scaling --- p.19Chapter 1.7.2 --- Large-scale circulation --- p.19Chapter 1.7.3 --- Organization of the thesis --- p.20Chapter 1.8 --- Some words to my experiment and further expectation --- p.21Chapter Chapter 2 --- Experimental apparatus and techniques --- p.27Chapter 2.1 --- Rectangle cell --- p.27Chapter 2.2 --- The power supply and cooler --- p.28Chapter 2.3 --- Thermistor and multimeter --- p.29Chapter 2.4 --- Particle image velocimetry (PIV) technology --- p.30Chapter 2.4.1 --- Seeding particles --- p.31Chapter 2.4.2 --- Light source and light-sheet optics --- p.33Chapter 2.4.3 --- Imaging system --- p.34Chapter 2.4.4 --- Control system --- p.34Chapter 2.4.5 --- Analysis method --- p.35Chapter Chapter 3 --- Small-scale properties in rectangular cell --- p.37Chapter 3.1 --- Introduction --- p.37Chapter 3.2 --- Experimental condition --- p.37Chapter 3.3 --- Homogeneity --- p.39Chapter 3.4 --- Isotropy --- p.40Chapter 3.5 --- Scaling of structure function --- p.42Chapter Chapter 4 --- Large-scale circulation --- p.51Chapter 4.1 --- Introduction --- p.51Chapter 4.2 --- Experimental condition and limitation --- p.54Chapter 4.3 --- Statistical properties of large-scale circulation period --- p.56Chapter 4.4 --- Scaling of the Reynolds number --- p.59Chapter 4.5 --- Oscillation period --- p.60Chapter Chapter 5 --- Conclusion --- p.63Chapter 5.1 --- Small-scale properties in rectangular cell --- p.63Chapter 5.2 --- Large-scale circulation --- p.63Reference --- p.6
Abstract 5357: OncoGxSelectTM - a beneficial supplement to comprehensive cancer genetic test
No full textAbstract
Genetic profiling of tumor has been widely accepted both in oncology research and clinical field. However, clinical doctors are sometimes overwhelmed by tremendous and complicated information provided by comprehensive genetic tests, although they are welcomed by research-oriented oncologists. In order to provide accurate key findings to aid diagnosis and treatment in clinical practice, a careful tailored NGS based test - OncoGxSelectTM was developed and validated. Targeting 7 popular cancer types (NSCLC, Colorectal cancer, Breast cancer, Melanoma, Thyroid cancer, Esophageal and GIST cancer), OncoGxSelectTM detects all 4 types of genomic alterations including single nucleotide mutation, insertion/deletion, copy number variation and gene rearrangement in tumor tissue for 12 well-characterized clinical actionable genes strictly following NCCN (National Comprehensive Cancer Network) guidelines. OncoGxSelectTM offers high sensitivity and specificity greater than 99%, low cost and fast turnaround time using both DNA and RNA as starting material from FFPE samples with as low as 10% tumor cell content. This CLIA certified and CAP accredited genetic test panel is a valuable supplement to clinical oncologists to further facilitate diagnosis and treatment choosing.
Citation Format: Yang Han, Pengfei Yu, Qingxuan Song, Min Wei, Guanghui Hu. OncoGxSelectTM - a beneficial supplement to comprehensive cancer genetic test [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5357. doi:10.1158/1538-7445.AM2017-5357</jats:p
sj-docx-1-taj-10.1177_20406223241236258 – Supplemental material for Predictors of seizure outcomes in stereo-electroencephalography-guided radio-frequency thermocoagulation for MRI-negative epilepsy
No full textSupplemental material, sj-docx-1-taj-10.1177_20406223241236258 for Predictors of seizure outcomes in stereo-electroencephalography-guided radio-frequency thermocoagulation for MRI-negative epilepsy by Qi Huang, Pandeng Xie, Jian Zhou, Haoran Ding, Zhao Liu, Tianfu Li, Yuguang Guan, Mengyang Wang, Jing Wang, Pengfei Teng, Mingwang Zhu, Kaiqiang Ma, Han Wu, Guoming Luan and Feng Zhai in Therapeutic Advances in Chronic Disease</p
sj-xlsx-2-taj-10.1177_20406223241236258 – Supplemental material for Predictors of seizure outcomes in stereo-electroencephalography-guided radio-frequency thermocoagulation for MRI-negative epilepsy
No full textSupplemental material, sj-xlsx-2-taj-10.1177_20406223241236258 for Predictors of seizure outcomes in stereo-electroencephalography-guided radio-frequency thermocoagulation for MRI-negative epilepsy by Qi Huang, Pandeng Xie, Jian Zhou, Haoran Ding, Zhao Liu, Tianfu Li, Yuguang Guan, Mengyang Wang, Jing Wang, Pengfei Teng, Mingwang Zhu, Kaiqiang Ma, Han Wu, Guoming Luan and Feng Zhai in Therapeutic Advances in Chronic Disease</p
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