In this paper, we conduct research on development outline of contemporary art of Chinese sports under the background of differences between Chinese and western culture. The development of any industry must experience ...In this paper, we conduct research on development outline of contemporary art of Chinese sports under the background of differences between Chinese and western culture. The development of any industry must experience the formation, growth, maturity and decline of the industry life cycle. Its period in the entire industry by the proportion of growth, the sports industry is no exception. But due to the particularity of the Chinese system, China’s sports industry life cycle has its particularity. Technology, is the carrier of knowledge talent, technology, knowledge of competition, is essentially talent competition while the country is increasing investment in sports industry, scientifi c research, education, strengthen the training of management personnel, to improve the quality of sports market management. Therefore, we propose the novel idea on the issues that is meaningful.展开更多
The large-scale and small-scale errors could affect background error covariances for a regional numerical model with the specified grid resolution.Based on the different background error covariances influenced by diff...The large-scale and small-scale errors could affect background error covariances for a regional numerical model with the specified grid resolution.Based on the different background error covariances influenced by different scale errors,this study tries to construct a so-called"optimal background error covariances"to consider the interactions among different scale errors.For this purpose,a linear combination of the forecast differences influenced by information of errors at different scales is used to construct the new forecast differences for estimating optimal background error covariances.By adjusting the relative weight of the forecast differences influenced by information of smaller-scale errors,the relative influence of different scale errors on optimal background error covariances can be changed.For a heavy rainfall case,the corresponding optimal background error covariances can be estimated through choosing proper weighting factor for forecast differences influenced by information of smaller-scale errors.The data assimilation and forecast with these optimal covariances show that,the corresponding analyses and forecasts can lead to superior quality,compared with those using covariances that just introduce influences of larger-or smallerscale errors.Due to the interactions among different scale errors included in optimal background error covariances,relevant analysis increments can properly describe weather systems(processes)at different scales,such as dynamic lifting,thermodynamic instability and advection of moisture at large scale,high-level and low-level jet at synoptic scale,and convective systems at mesoscale and small scale,as well as their interactions.As a result,the corresponding forecasts can be improved.展开更多
Both Jane Austen and Eileen Chang are popular female writers.However they endowed their heroines with differentfates:Elizabeth in Pride and Prejudice earns a happily-ever-after with her Mr.Right,while Gu Manlu in Eigh...Both Jane Austen and Eileen Chang are popular female writers.However they endowed their heroines with differentfates:Elizabeth in Pride and Prejudice earns a happily-ever-after with her Mr.Right,while Gu Manlu in Eighteen Springs has toembrace death long before her time.They are destined due to their different family backgrounds and different characters which aredepicted in the novels.展开更多
Every nation has own language and culture,special expression style and content,which is national features.Cross-culture contact and communication is possible,of which difference is an obstacle for communication.China ...Every nation has own language and culture,special expression style and content,which is national features.Cross-culture contact and communication is possible,of which difference is an obstacle for communication.China and English--using countries have different culture background,which are big difference for looking at world,the thinking and behavior style toward things.With the ever-accelerating pace of China' s reform and opening up,the cross-border communication growing,Western etiquette and cultural differences is increasingly revealed.this difference can not be ignored,we need to understand the Chinese and Western etiquette,which do not get the perfect blend of these etiquette difference.展开更多
Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methods...Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methodshave been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies basedon Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesionregion. However, over-reliance on prior information may ignore the background information that is helpful fordiagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset.Consequently, the Prior Difference Guidance Network (PDGNet) is proposed, merging decoupled lesion andbackground information via the Prior Normalization Fusion (PNF) strategy and the Feature Difference Guidance(FDG) module, to direct the model to concentrate on beneficial regions for diagnosis. Extensive experiments inthe clinical dataset demonstrate that the proposed method achieves promising diagnosis performance: PDGNetsbased on conventional networks record an ACC (Accuracy) and AUC (Area Under the Curve) of 87.50% and89.98%, marking improvements of 8.19% and 7.64% over the prior-free benchmark. Compared to lesion-focusedbenchmarks, the uplift is 6.14% and 6.02%. PDGNets based on advanced networks reach an ACC and AUC of89.77% and 92.80%. The study underscores the potential of harnessing background information in medical imagediagnosis, suggesting a more holistic view for future research.展开更多
文摘In this paper, we conduct research on development outline of contemporary art of Chinese sports under the background of differences between Chinese and western culture. The development of any industry must experience the formation, growth, maturity and decline of the industry life cycle. Its period in the entire industry by the proportion of growth, the sports industry is no exception. But due to the particularity of the Chinese system, China’s sports industry life cycle has its particularity. Technology, is the carrier of knowledge talent, technology, knowledge of competition, is essentially talent competition while the country is increasing investment in sports industry, scientifi c research, education, strengthen the training of management personnel, to improve the quality of sports market management. Therefore, we propose the novel idea on the issues that is meaningful.
基金National Natural Science Foundation of China(41130964)National Special Funding Project for Meteorology(GYHY-201006004)
文摘The large-scale and small-scale errors could affect background error covariances for a regional numerical model with the specified grid resolution.Based on the different background error covariances influenced by different scale errors,this study tries to construct a so-called"optimal background error covariances"to consider the interactions among different scale errors.For this purpose,a linear combination of the forecast differences influenced by information of errors at different scales is used to construct the new forecast differences for estimating optimal background error covariances.By adjusting the relative weight of the forecast differences influenced by information of smaller-scale errors,the relative influence of different scale errors on optimal background error covariances can be changed.For a heavy rainfall case,the corresponding optimal background error covariances can be estimated through choosing proper weighting factor for forecast differences influenced by information of smaller-scale errors.The data assimilation and forecast with these optimal covariances show that,the corresponding analyses and forecasts can lead to superior quality,compared with those using covariances that just introduce influences of larger-or smallerscale errors.Due to the interactions among different scale errors included in optimal background error covariances,relevant analysis increments can properly describe weather systems(processes)at different scales,such as dynamic lifting,thermodynamic instability and advection of moisture at large scale,high-level and low-level jet at synoptic scale,and convective systems at mesoscale and small scale,as well as their interactions.As a result,the corresponding forecasts can be improved.
文摘Both Jane Austen and Eileen Chang are popular female writers.However they endowed their heroines with differentfates:Elizabeth in Pride and Prejudice earns a happily-ever-after with her Mr.Right,while Gu Manlu in Eighteen Springs has toembrace death long before her time.They are destined due to their different family backgrounds and different characters which aredepicted in the novels.
文摘Every nation has own language and culture,special expression style and content,which is national features.Cross-culture contact and communication is possible,of which difference is an obstacle for communication.China and English--using countries have different culture background,which are big difference for looking at world,the thinking and behavior style toward things.With the ever-accelerating pace of China' s reform and opening up,the cross-border communication growing,Western etiquette and cultural differences is increasingly revealed.this difference can not be ignored,we need to understand the Chinese and Western etiquette,which do not get the perfect blend of these etiquette difference.
基金the National Natural Science Foundation of China(No.82160347)Yunnan Key Laboratory of Smart City in Cyberspace Security(No.202105AG070010)Project of Medical Discipline Leader of Yunnan Province(D-2018012).
文摘Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma(PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methodshave been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies basedon Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesionregion. However, over-reliance on prior information may ignore the background information that is helpful fordiagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset.Consequently, the Prior Difference Guidance Network (PDGNet) is proposed, merging decoupled lesion andbackground information via the Prior Normalization Fusion (PNF) strategy and the Feature Difference Guidance(FDG) module, to direct the model to concentrate on beneficial regions for diagnosis. Extensive experiments inthe clinical dataset demonstrate that the proposed method achieves promising diagnosis performance: PDGNetsbased on conventional networks record an ACC (Accuracy) and AUC (Area Under the Curve) of 87.50% and89.98%, marking improvements of 8.19% and 7.64% over the prior-free benchmark. Compared to lesion-focusedbenchmarks, the uplift is 6.14% and 6.02%. PDGNets based on advanced networks reach an ACC and AUC of89.77% and 92.80%. The study underscores the potential of harnessing background information in medical imagediagnosis, suggesting a more holistic view for future research.
