By installing an X-mode polarized Q-band(32-56 GHz) reflectometry at the low field side on EAST,the zero density cutoff layer was determined and the edge density profile was measured in normally operating plasmas.A ...By installing an X-mode polarized Q-band(32-56 GHz) reflectometry at the low field side on EAST,the zero density cutoff layer was determined and the edge density profile was measured in normally operating plasmas.A Monte Carlo procedure has been developed to analyze the density profiles by considering the error of time delay measured by reflectometry.By combining this Q-band and previously developed V- and W-band reflectometries,the density profiles from edge to core can be measured in most EAST experiments.The line integrated densities deduced from density profiles measured by reflectometry are consistent with those directly measured by a horizontal interferometer.The density pedestal measured by reflectometry shows a clear crash during an ELM(edge localized mode) event,after which the pedestal gradually increases and recovers in 10 ms and then remains little changed up to the next ELM.展开更多
In this paper, we propose a novel method of cleaning up facial imperfections such as bumps and blemishes that may detract from a pleasing digital portrait. Contrasting with traditional methods which tend to blur facia...In this paper, we propose a novel method of cleaning up facial imperfections such as bumps and blemishes that may detract from a pleasing digital portrait. Contrasting with traditional methods which tend to blur facial details, our method fully retains fine scale skin textures (pores etc.) of the subject. Our key idea is to find a quantity, namely normalized local energy, to capture different characteristics of fine scale details and distractions, based on empirical mode decomposition, and then build a quantitative measurement of facial skin appearance which characterizes both imperfections and facial details in a unified framework. Finally, we use the quantitative measurement as a guide to enhance facial skin. We also introduce a few high-level, intuitive parameters for controlling the amount of enhancement. In addition, an adaptive local mean and neighborhood limited empirical mode decomposition algorithm is also developed to improve in two respects the performance of empirical mode decomposition. It can effectively avoid the gray spots effect commonly associated with traditional empirical mode decomposition when dealing with high-nonstationary images.展开更多
Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development o...Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development of teaching staff since the founding of the People's Republic of China.Design/Approach/Methods After introducing the primary structure and rationale of the SQIPTE,this study reviews the existing data and research to explain why the program focuses on local normal colleges and determine how it could be implemented more effectively.Findings In establishing group-based assistance under the principle of“1+M+N”(M≥N),the SQIPTE seeks to make normal colleges the primary force in the education of rural teachers and explores a collaborative operating mechanism to this end.Evidence suggests that this innovative program will provide new practical experience for the collaborative development and quality improvement of teachers.Originality/Value This study reviews the SQIPTE as a new Chinese intervention to improve the quality of rural teachers.There is strong evidence to suggest that this innovative program will inspire the construction of collaborative operating mechanisms incorporating multiple resources for teacher education systems across different areas.展开更多
基金supported by the National Magnetic Confinement Fusion Science Program of China(Nos.2014GB106000 and 2014GB106003)National Natural Science Foundation of China(Nos.11275234,11305215,11305208)
文摘By installing an X-mode polarized Q-band(32-56 GHz) reflectometry at the low field side on EAST,the zero density cutoff layer was determined and the edge density profile was measured in normally operating plasmas.A Monte Carlo procedure has been developed to analyze the density profiles by considering the error of time delay measured by reflectometry.By combining this Q-band and previously developed V- and W-band reflectometries,the density profiles from edge to core can be measured in most EAST experiments.The line integrated densities deduced from density profiles measured by reflectometry are consistent with those directly measured by a horizontal interferometer.The density pedestal measured by reflectometry shows a clear crash during an ELM(edge localized mode) event,after which the pedestal gradually increases and recovers in 10 ms and then remains little changed up to the next ELM.
基金supported by the National Natural Science Foundation of China under Grant Nos.60403038 and 60703084the NaturalScience Foundation of Jiangsu Province under Grant No.BK2007571the Natural Science Foundation of Liaoning Province under Grant No.20082176
文摘In this paper, we propose a novel method of cleaning up facial imperfections such as bumps and blemishes that may detract from a pleasing digital portrait. Contrasting with traditional methods which tend to blur facial details, our method fully retains fine scale skin textures (pores etc.) of the subject. Our key idea is to find a quantity, namely normalized local energy, to capture different characteristics of fine scale details and distractions, based on empirical mode decomposition, and then build a quantitative measurement of facial skin appearance which characterizes both imperfections and facial details in a unified framework. Finally, we use the quantitative measurement as a guide to enhance facial skin. We also introduce a few high-level, intuitive parameters for controlling the amount of enhancement. In addition, an adaptive local mean and neighborhood limited empirical mode decomposition algorithm is also developed to improve in two respects the performance of empirical mode decomposition. It can effectively avoid the gray spots effect commonly associated with traditional empirical mode decomposition when dealing with high-nonstationary images.
基金the Key Project of the Chinese Society of Education in 2021,titled"The Synergized Quality Improvement Program in Teacher Education"(grant number 2021093104LWT).
文摘Purpose This study elucidates the rationale,implementation,values,and challenges of the Synergized Quality Improvement Program in Teacher Education(SQIPTE)—the first policy specifically dedicated to the development of teaching staff since the founding of the People's Republic of China.Design/Approach/Methods After introducing the primary structure and rationale of the SQIPTE,this study reviews the existing data and research to explain why the program focuses on local normal colleges and determine how it could be implemented more effectively.Findings In establishing group-based assistance under the principle of“1+M+N”(M≥N),the SQIPTE seeks to make normal colleges the primary force in the education of rural teachers and explores a collaborative operating mechanism to this end.Evidence suggests that this innovative program will provide new practical experience for the collaborative development and quality improvement of teachers.Originality/Value This study reviews the SQIPTE as a new Chinese intervention to improve the quality of rural teachers.There is strong evidence to suggest that this innovative program will inspire the construction of collaborative operating mechanisms incorporating multiple resources for teacher education systems across different areas.