We have obtained the highly excited state spectrum of toluene using ultraviolet two-photon resonance three-photon ionization.We assign the observed structure to three new Rydberg series converging to the first ionizat...We have obtained the highly excited state spectrum of toluene using ultraviolet two-photon resonance three-photon ionization.We assign the observed structure to three new Rydberg series converging to the first ionization potential.展开更多
一、引言约翰·惠特曼教授,哈佛大学语言学博士(1984年),2006年起担任康奈尔大学语言学系主任,现任《高丽语言学》(Korean Linguistics)主编,日本国立日本语和语言学研究所(National Institute for Japanese Language and Linguisti...一、引言约翰·惠特曼教授,哈佛大学语言学博士(1984年),2006年起担任康奈尔大学语言学系主任,现任《高丽语言学》(Korean Linguistics)主编,日本国立日本语和语言学研究所(National Institute for Japanese Language and Linguistics)所长、名誉教授,法国社会科学高级研究院东亚语言学研究中心(Centre de recherches linguistiques sur l’Asie orientale)兼职教授。约翰·惠特曼教授主要研究语言变异,包括变异范围和预测因子,是广义句法学领域组合性辩论(configurationality debate)的重要参与者。笔者于2019年8月在康奈尔大学短期访问期间对惠特曼教授做了访谈。展开更多
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs,understanding plantenvironment interactions,and managing agricultural systems.In the past five years,imaging appr...Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs,understanding plantenvironment interactions,and managing agricultural systems.In the past five years,imaging approaches have shown great potential for high-throughput plant phenotyping,resulting in more attention paid to imaging-based plant phenotyping.With this increased amount of image data,it has become urgent to develop robust analytical tools that can extract phenotypic traits accurately and rapidly.The goal of this review is to provide a comprehensive overview of the latest studies using deep convolutional neural networks(CNNs)in plant phenotyping applications.We specifically review the use of various CNN architecture for plant stress evaluation,plant development,and postharvest quality assessment.We systematically organize the studies based on technical developments resulting from imaging classification,object detection,and image segmentation,thereby identifying state-of-the-art solutions for certain phenotyping applications.Finally,we provide several directions for future research in the use of CNN architecture for plant phenotyping purposes.展开更多
Macroeconomic forecasting in China is essential for the government to take proper policy decisions on government expenditure and money supply,among other matters.The existing literature on forecasting Chinas macroecon...Macroeconomic forecasting in China is essential for the government to take proper policy decisions on government expenditure and money supply,among other matters.The existing literature on forecasting Chinas macroeconomic variables is unclear on the crucial issue of how to choose an optimal window to estimate parameters with rolling out-of-sample forecasts.This study fills this gap in forecasting economic growth and inflation in China,by using the rolling weighted least squares(WLS)with the practically feasible cross-validation(CV)procedure of Hong et al.(2018)to choose an optimal estimation window.We undertake an empirical analysis of monthly data on up to 30 candidate indicators(mainly asset prices)for a span of 17 years(2000-2017).It is documented that the forecasting performance of rolling estimation is sensitive to the selection of rolling windows.The empirical analysis shows that the rolling WLS with the CV-based rolling window outperforms other rolling methods on univariate regressions in most cases.One possible explanation for this is that these macroeconomic variables often suffer from structural changes due to changes in institutional reforms,policies,crises,and other factors.Furthermore,we find that,in most cases,asset prices are key variables for forecasting macroeconomic variables,especially output growth rate.展开更多
DNA markers linked with trait of disease-resistance offer a very useful tool forselection of putative disease-resistant progeny and cloning disease-resistant genes.Peaseed-born mosaic virus(PSbMV)is spread mainly thro...DNA markers linked with trait of disease-resistance offer a very useful tool forselection of putative disease-resistant progeny and cloning disease-resistant genes.Peaseed-born mosaic virus(PSbMV)is spread mainly through planting infected pea seeds andby non-persistent aphid transmission.Three strains of PSbMV have been identified,designated as P-1,L and P-4.Strain P-1 is most widely distributed.Four recessive展开更多
文摘We have obtained the highly excited state spectrum of toluene using ultraviolet two-photon resonance three-photon ionization.We assign the observed structure to three new Rydberg series converging to the first ionization potential.
文摘一、引言约翰·惠特曼教授,哈佛大学语言学博士(1984年),2006年起担任康奈尔大学语言学系主任,现任《高丽语言学》(Korean Linguistics)主编,日本国立日本语和语言学研究所(National Institute for Japanese Language and Linguistics)所长、名誉教授,法国社会科学高级研究院东亚语言学研究中心(Centre de recherches linguistiques sur l’Asie orientale)兼职教授。约翰·惠特曼教授主要研究语言变异,包括变异范围和预测因子,是广义句法学领域组合性辩论(configurationality debate)的重要参与者。笔者于2019年8月在康奈尔大学短期访问期间对惠特曼教授做了访谈。
基金The project was supported by the National Robotics Initiative(NIFA grant no.2017-67021-25928).
文摘Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs,understanding plantenvironment interactions,and managing agricultural systems.In the past five years,imaging approaches have shown great potential for high-throughput plant phenotyping,resulting in more attention paid to imaging-based plant phenotyping.With this increased amount of image data,it has become urgent to develop robust analytical tools that can extract phenotypic traits accurately and rapidly.The goal of this review is to provide a comprehensive overview of the latest studies using deep convolutional neural networks(CNNs)in plant phenotyping applications.We specifically review the use of various CNN architecture for plant stress evaluation,plant development,and postharvest quality assessment.We systematically organize the studies based on technical developments resulting from imaging classification,object detection,and image segmentation,thereby identifying state-of-the-art solutions for certain phenotyping applications.Finally,we provide several directions for future research in the use of CNN architecture for plant phenotyping purposes.
基金All remaining errors are solely ours.We acknowledge financial support from the National Natural Science Foundation of China(No.71703156)Fujian Provincial Key Laboratory of Statistics,Xiamen University(No.201601).
文摘Macroeconomic forecasting in China is essential for the government to take proper policy decisions on government expenditure and money supply,among other matters.The existing literature on forecasting Chinas macroeconomic variables is unclear on the crucial issue of how to choose an optimal window to estimate parameters with rolling out-of-sample forecasts.This study fills this gap in forecasting economic growth and inflation in China,by using the rolling weighted least squares(WLS)with the practically feasible cross-validation(CV)procedure of Hong et al.(2018)to choose an optimal estimation window.We undertake an empirical analysis of monthly data on up to 30 candidate indicators(mainly asset prices)for a span of 17 years(2000-2017).It is documented that the forecasting performance of rolling estimation is sensitive to the selection of rolling windows.The empirical analysis shows that the rolling WLS with the CV-based rolling window outperforms other rolling methods on univariate regressions in most cases.One possible explanation for this is that these macroeconomic variables often suffer from structural changes due to changes in institutional reforms,policies,crises,and other factors.Furthermore,we find that,in most cases,asset prices are key variables for forecasting macroeconomic variables,especially output growth rate.
文摘DNA markers linked with trait of disease-resistance offer a very useful tool forselection of putative disease-resistant progeny and cloning disease-resistant genes.Peaseed-born mosaic virus(PSbMV)is spread mainly through planting infected pea seeds andby non-persistent aphid transmission.Three strains of PSbMV have been identified,designated as P-1,L and P-4.Strain P-1 is most widely distributed.Four recessive
