[Objectives]This study was conducted to achieve rapid and accurate detection of protein content in rice with a particle size of 1.0 mm.[Methods]A multi-model fusion strategy was proposed on the basis of Stacking ensem...[Objectives]This study was conducted to achieve rapid and accurate detection of protein content in rice with a particle size of 1.0 mm.[Methods]A multi-model fusion strategy was proposed on the basis of Stacking ensemble learning.A base learner pool was constructed,containing Partial Least Squares(PLS),Support Vector Machine(SVM),Deep Extreme Learning Machine(DELM),Random Forest(RF),Gradient Boosting Decision Tree(GBDT),and Multilayer Perceptron(MLP).PLS,DELM,and Linear Regression(LR)were used as meta-learner candidates.Employing integer coding technology,systematic dynamic combinations of base learners and meta-learners were generated,resulting in a total of 40 non-repetitive fusion models.The optimal combination was selected through a comprehensive evaluation based on multiple assessment indicators.[Results]The combination"PLS-DELM-MLP-LR"(code 1367)achieved coefficients of determination of 0.9732 and 0.9780 on the validation set and independent test set,respectively,with relative root mean square errors of 2.35%and 2.36%,and residual predictive deviations of 6.1075 and 6.7479,respectively.[Conclusions]The Stacking fusion model significantly enhances the predictive accuracy and robustness of spectral quantitative analysis,providing an efficient and feasible solution for modeling complex agricultural product spectral data.展开更多
A piece of equipment designed under a multi-disciplinary project in Shandong University of Science and Technology is described.The purpose is to indicate speech-time status to speakers in debates by presenting a three...A piece of equipment designed under a multi-disciplinary project in Shandong University of Science and Technology is described.The purpose is to indicate speech-time status to speakers in debates by presenting a three-light output The speech length may be programmed by the user with a combination of buttons and LCD display.The system is portable and microcontroller-based,using on-chip timers for accurate measurement of durations.展开更多
Putonghua, more commonly known as Mandarin in English, is China＇s official standard language. Efforts to popularize it across the country began as early as 1955. Today, the necessity of further popularizing it is bei...Putonghua, more commonly known as Mandarin in English, is China＇s official standard language. Efforts to popularize it across the country began as early as 1955. Today, the necessity of further popularizing it is being stressed once more. Recently, China＇s media watchdog, the State General Administration of Press, Publication, Radio, Film and Television, issued a notification, requesting all TV and radio presenters to speak standard putonghua and refrain from using any dialectica vocabulary, slang, or foreign languages during programs, except for special cases where it is necessary. The administration said that presenters should take the lead in promoting the use of standard putonghua.展开更多
In this study,we conducted an experiment to construct multi-model ensemble(MME)predictions for the El Niño-Southern Oscillation(ENSO)using a neural network,based on hindcast data released from five coupled oceana...In this study,we conducted an experiment to construct multi-model ensemble(MME)predictions for the El Niño-Southern Oscillation(ENSO)using a neural network,based on hindcast data released from five coupled oceanatmosphere models,which exhibit varying levels of complexity.This nonlinear approach demonstrated extraordinary superiority and effectiveness in constructing ENSO MME.Subsequently,we employed the leave-one-out crossvalidation and the moving base methods to further validate the robustness of the neural network model in the formulation of ENSO MME.In conclusion,the neural network algorithm outperforms the conventional approach of assigning a uniform weight to all models.This is evidenced by an enhancement in correlation coefficients and reduction in prediction errors,which have the potential to provide a more accurate ENSO forecast.展开更多
当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从...当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从政策与制度、技术创新、价值链升级、产业协同集聚等4个视角展开;两业的相互影响作用研讨、融合发展机制揭示,以及融合发展实现模式是两业融合发展研究的主要内容;现有研究聚焦于“生产性服务业集聚对制造业的影响因素、影响效应和影响路径”;存在“新兴技术影响”“绿色价值链升级”“微观机制深化”“国际比较研究”4个盲区。展开更多
Rectal carcinoma represents the 30% of all colorectal cancers, with about 40000 new cases/years. In the past two decades, the management of rectal cancer has made important progress, highlighting the main role of a mu...Rectal carcinoma represents the 30% of all colorectal cancers, with about 40000 new cases/years. In the past two decades, the management of rectal cancer has made important progress, highlighting the main role of a multimodality strategy approach, combining surgery, radiation therapy and chemotherapy. Nowadays, surgery remains the primary treatment and neoadjuvant chemoradiotherapy, based on fluoropyrimidine(5-FU) continuous infusion, is considered the standard in locally advanced rectal carcinoma. The aim is to reduce the incidence of local recurrence and to perform a conservative surgery. To improve these purposes different drugs combination have been tested in the neo-adjuvant setting. At American Society of Clinical Oncology 2014 an important abstract was presented focusing on the role of adding oxaliplatin to concomitant treatment, in patients with locally advanced rectal carcinoma. Rodel et al reported on the CAO/ARO/AIO-04 randomized phase Ⅲ trial that compared standard treatment with 5-FU and radiation therapy, to oxaliplatin plus 5-FU inassociation with radiation therapy. The addition of oxaliplatin to the neo-adjuvant treatment has been shown to improve disease-free survival from 71.2% to 75.9%(P = 0.03). This editorial was planned to clarify the optimal treatment in patients with locally advanced rectal cancer, considering the results from CAO/ARO/AIO-04 study.展开更多
The 21-yr ensemble predictions of model precipitation and circulation in the East Asian and western North Pacific （Asia-Pacific） summer monsoon region （0°-50°N, 100° 150°E） were evaluated in ni...The 21-yr ensemble predictions of model precipitation and circulation in the East Asian and western North Pacific （Asia-Pacific） summer monsoon region （0°-50°N, 100° 150°E） were evaluated in nine different AGCM, used in the Asia-Pacific Economic Cooperation Climate Center （APCC） multi-model ensemble seasonal prediction system. The analysis indicates that the precipitation anomaly patterns of model ensemble predictions are substantially different from the observed counterparts in this region, but the summer monsoon circulations are reasonably predicted. For example, all models can well produce the interannual variability of the western North Pacific monsoon index （WNPMI） defined by 850 hPa winds, but they failed to predict the relationship between WNPMI and precipitation anomalies. The interannual variability of the 500 hPa geopotential height （GPH） can be well predicted by the models in contrast to precipitation anomalies. On the basis of such model performances and the relationship between the interannual variations of 500 hPa GPH and precipitation anomalies, we developed a statistical scheme used to downscale the summer monsoon precipitation anomaly on the basis of EOF and singular value decomposition （SVD）. In this scheme, the three leading EOF modes of 500 hPa GPH anomaly fields predicted by the models are firstly corrected by the linear regression between the principal components in each model and observation, respectively. Then, the corrected model GPH is chosen as the predictor to downscale the precipitation anomaly field, which is assembled by the forecasted expansion coefficients of model 500 hPa GPH and the three leading SVD modes of observed precipitation anomaly corresponding to the prediction of model 500 hPa GPH during a 19-year training period. The cross-validated forecasts suggest that this downscaling scheme may have a potential to improve the forecast skill of the precipitation anomaly in the South China Sea, western North Pacific and the East Asia Pacific regions, where the anomaly correlation coefficient （ACC） has been improved by 0.14, corresponding to the reduced RMSE of 10.4% in the conventional multi-model ensemble （MME） forecast.展开更多
文摘[Objectives]This study was conducted to achieve rapid and accurate detection of protein content in rice with a particle size of 1.0 mm.[Methods]A multi-model fusion strategy was proposed on the basis of Stacking ensemble learning.A base learner pool was constructed,containing Partial Least Squares(PLS),Support Vector Machine(SVM),Deep Extreme Learning Machine(DELM),Random Forest(RF),Gradient Boosting Decision Tree(GBDT),and Multilayer Perceptron(MLP).PLS,DELM,and Linear Regression(LR)were used as meta-learner candidates.Employing integer coding technology,systematic dynamic combinations of base learners and meta-learners were generated,resulting in a total of 40 non-repetitive fusion models.The optimal combination was selected through a comprehensive evaluation based on multiple assessment indicators.[Results]The combination"PLS-DELM-MLP-LR"(code 1367)achieved coefficients of determination of 0.9732 and 0.9780 on the validation set and independent test set,respectively,with relative root mean square errors of 2.35%and 2.36%,and residual predictive deviations of 6.1075 and 6.7479,respectively.[Conclusions]The Stacking fusion model significantly enhances the predictive accuracy and robustness of spectral quantitative analysis,providing an efficient and feasible solution for modeling complex agricultural product spectral data.
文摘A piece of equipment designed under a multi-disciplinary project in Shandong University of Science and Technology is described.The purpose is to indicate speech-time status to speakers in debates by presenting a three-light output The speech length may be programmed by the user with a combination of buttons and LCD display.The system is portable and microcontroller-based,using on-chip timers for accurate measurement of durations.
文摘Putonghua, more commonly known as Mandarin in English, is China＇s official standard language. Efforts to popularize it across the country began as early as 1955. Today, the necessity of further popularizing it is being stressed once more. Recently, China＇s media watchdog, the State General Administration of Press, Publication, Radio, Film and Television, issued a notification, requesting all TV and radio presenters to speak standard putonghua and refrain from using any dialectica vocabulary, slang, or foreign languages during programs, except for special cases where it is necessary. The administration said that presenters should take the lead in promoting the use of standard putonghua.
基金The fund from Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)under contract No.SML2021SP310the National Natural Science Foundation of China under contract Nos 42227901 and 42475061the Key R&D Program of Zhejiang Province under contract No.2024C03257.
文摘In this study,we conducted an experiment to construct multi-model ensemble(MME)predictions for the El Niño-Southern Oscillation(ENSO)using a neural network,based on hindcast data released from five coupled oceanatmosphere models,which exhibit varying levels of complexity.This nonlinear approach demonstrated extraordinary superiority and effectiveness in constructing ENSO MME.Subsequently,we employed the leave-one-out crossvalidation and the moving base methods to further validate the robustness of the neural network model in the formulation of ENSO MME.In conclusion,the neural network algorithm outperforms the conventional approach of assigning a uniform weight to all models.This is evidenced by an enhancement in correlation coefficients and reduction in prediction errors,which have the potential to provide a more accurate ENSO forecast.
文摘当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从政策与制度、技术创新、价值链升级、产业协同集聚等4个视角展开;两业的相互影响作用研讨、融合发展机制揭示,以及融合发展实现模式是两业融合发展研究的主要内容;现有研究聚焦于“生产性服务业集聚对制造业的影响因素、影响效应和影响路径”;存在“新兴技术影响”“绿色价值链升级”“微观机制深化”“国际比较研究”4个盲区。
文摘Rectal carcinoma represents the 30% of all colorectal cancers, with about 40000 new cases/years. In the past two decades, the management of rectal cancer has made important progress, highlighting the main role of a multimodality strategy approach, combining surgery, radiation therapy and chemotherapy. Nowadays, surgery remains the primary treatment and neoadjuvant chemoradiotherapy, based on fluoropyrimidine(5-FU) continuous infusion, is considered the standard in locally advanced rectal carcinoma. The aim is to reduce the incidence of local recurrence and to perform a conservative surgery. To improve these purposes different drugs combination have been tested in the neo-adjuvant setting. At American Society of Clinical Oncology 2014 an important abstract was presented focusing on the role of adding oxaliplatin to concomitant treatment, in patients with locally advanced rectal carcinoma. Rodel et al reported on the CAO/ARO/AIO-04 randomized phase Ⅲ trial that compared standard treatment with 5-FU and radiation therapy, to oxaliplatin plus 5-FU inassociation with radiation therapy. The addition of oxaliplatin to the neo-adjuvant treatment has been shown to improve disease-free survival from 71.2% to 75.9%(P = 0.03). This editorial was planned to clarify the optimal treatment in patients with locally advanced rectal cancer, considering the results from CAO/ARO/AIO-04 study.
基金The National Nat-ural Science Foundation of China (NSFC), Grant Nos.90711003, 40375014the program of GYHY200706005, and the APCC Visiting Scientist Program jointly supportedthis work.
文摘The 21-yr ensemble predictions of model precipitation and circulation in the East Asian and western North Pacific （Asia-Pacific） summer monsoon region （0°-50°N, 100° 150°E） were evaluated in nine different AGCM, used in the Asia-Pacific Economic Cooperation Climate Center （APCC） multi-model ensemble seasonal prediction system. The analysis indicates that the precipitation anomaly patterns of model ensemble predictions are substantially different from the observed counterparts in this region, but the summer monsoon circulations are reasonably predicted. For example, all models can well produce the interannual variability of the western North Pacific monsoon index （WNPMI） defined by 850 hPa winds, but they failed to predict the relationship between WNPMI and precipitation anomalies. The interannual variability of the 500 hPa geopotential height （GPH） can be well predicted by the models in contrast to precipitation anomalies. On the basis of such model performances and the relationship between the interannual variations of 500 hPa GPH and precipitation anomalies, we developed a statistical scheme used to downscale the summer monsoon precipitation anomaly on the basis of EOF and singular value decomposition （SVD）. In this scheme, the three leading EOF modes of 500 hPa GPH anomaly fields predicted by the models are firstly corrected by the linear regression between the principal components in each model and observation, respectively. Then, the corrected model GPH is chosen as the predictor to downscale the precipitation anomaly field, which is assembled by the forecasted expansion coefficients of model 500 hPa GPH and the three leading SVD modes of observed precipitation anomaly corresponding to the prediction of model 500 hPa GPH during a 19-year training period. The cross-validated forecasts suggest that this downscaling scheme may have a potential to improve the forecast skill of the precipitation anomaly in the South China Sea, western North Pacific and the East Asia Pacific regions, where the anomaly correlation coefficient （ACC） has been improved by 0.14, corresponding to the reduced RMSE of 10.4% in the conventional multi-model ensemble （MME） forecast.
