Recently,the convolutional neural network(CNN)has been dom-inant in studies on interpreting remote sensing images(RSI).However,it appears that training optimization strategies have received less attention in relevant ...Recently,the convolutional neural network(CNN)has been dom-inant in studies on interpreting remote sensing images(RSI).However,it appears that training optimization strategies have received less attention in relevant research.To evaluate this problem,the author proposes a novel algo-rithm named the Fast Training CNN(FST-CNN).To verify the algorithm’s effectiveness,twenty methods,including six classic models and thirty archi-tectures from previous studies,are included in a performance comparison.The overall accuracy(OA)trained by the FST-CNN algorithm on the same model architecture and dataset is treated as an evaluation baseline.Results show that there is a maximal OA gap of 8.35%between the FST-CNN and those methods in the literature,which means a 10%margin in performance.Meanwhile,all those complex roadmaps,e.g.,deep feature fusion,model combination,model ensembles,and human feature engineering,are not as effective as expected.It reveals that there was systemic suboptimal perfor-mance in the previous studies.Most of the CNN-based methods proposed in the previous studies show a consistent mistake,which has made the model’s accuracy lower than its potential value.The most important reasons seem to be the inappropriate training strategy and the shift in data distribution introduced by data augmentation(DA).As a result,most of the performance evaluation was conducted based on an inaccurate,suboptimal,and unfair result.It has made most of the previous research findings questionable to some extent.However,all these confusing results also exactly demonstrate the effectiveness of FST-CNN.This novel algorithm is model-agnostic and can be employed on any image classification model to potentially boost performance.In addition,the results also show that a standardized training strategy is indeed very meaningful for the research tasks of the RSI-SC.展开更多
We can make mistakes at any age.Somemistakes we make are about money.But mostmistakes are about people.“When I got thatjob,did Jim really feel good about it as afriend?Or is he envious(嫉妒)of my luck?”“And Paul—W...We can make mistakes at any age.Somemistakes we make are about money.But mostmistakes are about people.“When I got thatjob,did Jim really feel good about it as afriend?Or is he envious(嫉妒)of my luck?”“And Paul—Why didn't I find that he wasfriendly just because I had a car?”When welook back,thinking about these,that can makeus feel bad.But when we look back.it's too late.展开更多
This paper discussed a method to judge and to reject the mistake and error of the monitoring strategies for English teaching and learning, and alsopresented a classification of mistake and error according to the follo...This paper discussed a method to judge and to reject the mistake and error of the monitoring strategies for English teaching and learning, and alsopresented a classification of mistake and error according to the following factors： the definition and analysisofmistake and error.With the development of theanalysis theories, more attention has been paid to the characteristic and the principle of mistake and error in the second language teaching and learning. By analyzing the differences between mistake and error, the teachers and learners can get clear of the study of English and improve the ability of using English.展开更多
从赵明那里回来,胡一郎脑子里清晰了许多,对.com也开始有了自己的“思想”:想挣大钱当然不是坏事,但首先是要好好地活着,BtoB或BtoC已经不再是那么地重要,重要的是to be or not tobe。 to be的前提当然是要有钱有人,还要少犯错误,对于...从赵明那里回来,胡一郎脑子里清晰了许多,对.com也开始有了自己的“思想”:想挣大钱当然不是坏事,但首先是要好好地活着,BtoB或BtoC已经不再是那么地重要,重要的是to be or not tobe。 to be的前提当然是要有钱有人,还要少犯错误,对于脆弱的.com来说,小错也可能致命。然而大家都还在“青春期”,大家的目标都很模糊,谁能保证自己在一片黑暗中没有躁动和莽撞之举呢?展开更多
The best way of learning a language is by using it.The best way of learning English is talking in English as much as possible.Sometimes you will get your words mixed up(混淆) and people will not understand you.
Following publication of the original article[1],the authors reported an error in the last author’s name,it was mistakenly written as“Jun Den”.The correct author’s name“Jun Deng”has been updated in this Correction.
For the paper,Fine mapping and characterization of a major QTL for grain length,QGl.cau-2D.1,that has pleiotropic effects in synthetic allohexaploid wheat,published in Journal of Integrative Agriculture 2024,Vol.23,No...For the paper,Fine mapping and characterization of a major QTL for grain length,QGl.cau-2D.1,that has pleiotropic effects in synthetic allohexaploid wheat,published in Journal of Integrative Agriculture 2024,Vol.23,No.9,on page 2911-2922,the authors regret to apprise about a post-publication mistake in Fig.2 of the article.There are errors in the number of populations.The new corrected Fig.2 is provided in this corrigendum to match with the corresponding text.展开更多
For the paper,Identification and epitope mapping of anti-p72 single-chain antibody against African swine fever virus based on phage display antibody library,published in Journal of Integrative Agriculture 2023,Vol.22,...For the paper,Identification and epitope mapping of anti-p72 single-chain antibody against African swine fever virus based on phage display antibody library,published in Journal of Integrative Agriculture 2023,Vol.22,No.9,on page 2834-2847,the authors regret to apprise about a post-publication mistake in Fig.7 of the article.There are errors in the flow cytometry analysis.The new corrected Fig.7 is provided in this corrigendum to match with the corresponding text.展开更多
Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 29,Number 6,June 2022,Page 1133 https://doi.org/10.1007/s12613-022-2501-9 The original version of this article unfortunately contained a mis...Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 29,Number 6,June 2022,Page 1133 https://doi.org/10.1007/s12613-022-2501-9 The original version of this article unfortunately contained a mistake.The spelling of the surname of one of the co-authors was incorrect.The name should be Alberto N.Conejo.展开更多
The authors regret that in Fig.2Aa of the article,the images for TPUPPy and TPU-aa in the first column were mistakenly duplicated due to a formatting error.The correct version of Fig.2 is provided below,along with the...The authors regret that in Fig.2Aa of the article,the images for TPUPPy and TPU-aa in the first column were mistakenly duplicated due to a formatting error.The correct version of Fig.2 is provided below,along with the original data for reference.The authors confirm that the rest of the article remains unaffected.展开更多
The authors regret that two images in Fig.3A were originally misplaced by a careless mistake.The corrected versions of these images are provided below.These corrections do not alter any findings and conclusions report...The authors regret that two images in Fig.3A were originally misplaced by a careless mistake.The corrected versions of these images are provided below.These corrections do not alter any findings and conclusions reported in this article.No additional text corrections are needed in the article.The authors would like to apologise for any inconvenience caused.展开更多
Baum-Welch algorithm most likely results in underflow in practice. In some literatures, such as 'Scaling' algorithm was introduced to solve the problem. In applications, however, some mistakes were found in th...Baum-Welch algorithm most likely results in underflow in practice. In some literatures, such as 'Scaling' algorithm was introduced to solve the problem. In applications, however, some mistakes were found in the equations presented in these literatures. The practical calculations show that the original algorithm often results in poor or even none convergence and rather higher error rate in speech recognition. The mistakes in these literatures and brings forward the correct equations are analysed. The speech recognition system using the revised algorithm can converge well and has lower error rate.展开更多
Beijing Review continues to publish edited excerpts of Why and How the CPC Works in China.Edited chapter three-How Did the CPC Keep the People’s Support Despite Its Mistakes is as follows:
文章首段,很有“噱头”,让人一惊:美国911事件的幕后策划者本·拉登被捕获了?第二段才揭开谜底:The man, who had a beard, was later released(释放)。本文的幽默一笔是:a crowd had gathered outside the police station Tuesday ...文章首段,很有“噱头”,让人一惊:美国911事件的幕后策划者本·拉登被捕获了?第二段才揭开谜底:The man, who had a beard, was later released(释放)。本文的幽默一笔是:a crowd had gathered outside the police station Tuesday for a glimpse(一瞥)of the bin Laden look-alike.展开更多
接读此篇来稿,编者竟时时发现自己的影子。此文的标题可译:七个花钱的误区。可毫不夸饰地说,此文是篇消费心理学的上乘之作,三读不厌！同时,可使自己的消费心理更趋成熟。最值得提及的是全文的七个小标题,它们分别与段中某句相呼应,可...接读此篇来稿,编者竟时时发现自己的影子。此文的标题可译:七个花钱的误区。可毫不夸饰地说,此文是篇消费心理学的上乘之作,三读不厌！同时,可使自己的消费心理更趋成熟。最值得提及的是全文的七个小标题,它们分别与段中某句相呼应,可读可品。如:1.We fear loss more than we should. -peo-ple place about twice as much significance on a loss as on a gain.2.We forgetabout inflation—always think in terms of your buying power.3.We follow thecrowd.-set your own financial guidelines.4.We are overconfident -If youremember only your victories,you tend to dramatically underestimate theprospect of deteat.5.We hear what we want to hear—A different perspectivemight show where you’ve been kidding yourself.6.We value some dollars lessthan others.一With found money,wait a while before you make any spendingdecisions.7.We bite off more than we can chew--Break every package deal intoits parts and make sure that you want every feature.就表达言,第 5,6,7三条的小标题最可玩味。本文的一个成功之处是:设置“情景”,让读者自己体验,引起共鸣,尔后再作分析,提?展开更多
In 1953 a small start-up company in Japan asked government officials at the Ministry of International Trade and Industry (MITI) for permission to buy transistor-manufacturing rights from Western Electric for $25,000. ...In 1953 a small start-up company in Japan asked government officials at the Ministry of International Trade and Industry (MITI) for permission to buy transistor-manufacturing rights from Western Electric for $25,000. MITI was not impressed with the new technology or the young Japanese firm,and didn’t want to squander scarce foreign currency on either. Permis-展开更多
基金Hunan University of Arts and Science provided doctoral research funding for this study (grant number 16BSQD23)Fund of Geography Subject ([2022]351)also provided funding.
文摘Recently,the convolutional neural network(CNN)has been dom-inant in studies on interpreting remote sensing images(RSI).However,it appears that training optimization strategies have received less attention in relevant research.To evaluate this problem,the author proposes a novel algo-rithm named the Fast Training CNN(FST-CNN).To verify the algorithm’s effectiveness,twenty methods,including six classic models and thirty archi-tectures from previous studies,are included in a performance comparison.The overall accuracy(OA)trained by the FST-CNN algorithm on the same model architecture and dataset is treated as an evaluation baseline.Results show that there is a maximal OA gap of 8.35%between the FST-CNN and those methods in the literature,which means a 10%margin in performance.Meanwhile,all those complex roadmaps,e.g.,deep feature fusion,model combination,model ensembles,and human feature engineering,are not as effective as expected.It reveals that there was systemic suboptimal perfor-mance in the previous studies.Most of the CNN-based methods proposed in the previous studies show a consistent mistake,which has made the model’s accuracy lower than its potential value.The most important reasons seem to be the inappropriate training strategy and the shift in data distribution introduced by data augmentation(DA).As a result,most of the performance evaluation was conducted based on an inaccurate,suboptimal,and unfair result.It has made most of the previous research findings questionable to some extent.However,all these confusing results also exactly demonstrate the effectiveness of FST-CNN.This novel algorithm is model-agnostic and can be employed on any image classification model to potentially boost performance.In addition,the results also show that a standardized training strategy is indeed very meaningful for the research tasks of the RSI-SC.
文摘We can make mistakes at any age.Somemistakes we make are about money.But mostmistakes are about people.“When I got thatjob,did Jim really feel good about it as afriend?Or is he envious(嫉妒)of my luck?”“And Paul—Why didn't I find that he wasfriendly just because I had a car?”When welook back,thinking about these,that can makeus feel bad.But when we look back.it's too late.
文摘This paper discussed a method to judge and to reject the mistake and error of the monitoring strategies for English teaching and learning, and alsopresented a classification of mistake and error according to the following factors： the definition and analysisofmistake and error.With the development of theanalysis theories, more attention has been paid to the characteristic and the principle of mistake and error in the second language teaching and learning. By analyzing the differences between mistake and error, the teachers and learners can get clear of the study of English and improve the ability of using English.
文摘从赵明那里回来,胡一郎脑子里清晰了许多,对.com也开始有了自己的“思想”:想挣大钱当然不是坏事,但首先是要好好地活着,BtoB或BtoC已经不再是那么地重要,重要的是to be or not tobe。 to be的前提当然是要有钱有人,还要少犯错误,对于脆弱的.com来说,小错也可能致命。然而大家都还在“青春期”,大家的目标都很模糊,谁能保证自己在一片黑暗中没有躁动和莽撞之举呢?
文摘The best way of learning a language is by using it.The best way of learning English is talking in English as much as possible.Sometimes you will get your words mixed up(混淆) and people will not understand you.
文摘Following publication of the original article[1],the authors reported an error in the last author’s name,it was mistakenly written as“Jun Den”.The correct author’s name“Jun Deng”has been updated in this Correction.
文摘For the paper,Fine mapping and characterization of a major QTL for grain length,QGl.cau-2D.1,that has pleiotropic effects in synthetic allohexaploid wheat,published in Journal of Integrative Agriculture 2024,Vol.23,No.9,on page 2911-2922,the authors regret to apprise about a post-publication mistake in Fig.2 of the article.There are errors in the number of populations.The new corrected Fig.2 is provided in this corrigendum to match with the corresponding text.
文摘For the paper,Identification and epitope mapping of anti-p72 single-chain antibody against African swine fever virus based on phage display antibody library,published in Journal of Integrative Agriculture 2023,Vol.22,No.9,on page 2834-2847,the authors regret to apprise about a post-publication mistake in Fig.7 of the article.There are errors in the flow cytometry analysis.The new corrected Fig.7 is provided in this corrigendum to match with the corresponding text.
文摘Erratum to:International Journal of Minerals,Metallurgy and Materials Volume 29,Number 6,June 2022,Page 1133 https://doi.org/10.1007/s12613-022-2501-9 The original version of this article unfortunately contained a mistake.The spelling of the surname of one of the co-authors was incorrect.The name should be Alberto N.Conejo.
文摘The authors regret that in Fig.2Aa of the article,the images for TPUPPy and TPU-aa in the first column were mistakenly duplicated due to a formatting error.The correct version of Fig.2 is provided below,along with the original data for reference.The authors confirm that the rest of the article remains unaffected.
文摘The authors regret that two images in Fig.3A were originally misplaced by a careless mistake.The corrected versions of these images are provided below.These corrections do not alter any findings and conclusions reported in this article.No additional text corrections are needed in the article.The authors would like to apologise for any inconvenience caused.
文摘Baum-Welch algorithm most likely results in underflow in practice. In some literatures, such as 'Scaling' algorithm was introduced to solve the problem. In applications, however, some mistakes were found in the equations presented in these literatures. The practical calculations show that the original algorithm often results in poor or even none convergence and rather higher error rate in speech recognition. The mistakes in these literatures and brings forward the correct equations are analysed. The speech recognition system using the revised algorithm can converge well and has lower error rate.
文摘Beijing Review continues to publish edited excerpts of Why and How the CPC Works in China.Edited chapter three-How Did the CPC Keep the People’s Support Despite Its Mistakes is as follows:
文摘文章首段,很有“噱头”,让人一惊:美国911事件的幕后策划者本·拉登被捕获了?第二段才揭开谜底:The man, who had a beard, was later released(释放)。本文的幽默一笔是:a crowd had gathered outside the police station Tuesday for a glimpse(一瞥)of the bin Laden look-alike.
文摘接读此篇来稿,编者竟时时发现自己的影子。此文的标题可译:七个花钱的误区。可毫不夸饰地说,此文是篇消费心理学的上乘之作,三读不厌！同时,可使自己的消费心理更趋成熟。最值得提及的是全文的七个小标题,它们分别与段中某句相呼应,可读可品。如:1.We fear loss more than we should. -peo-ple place about twice as much significance on a loss as on a gain.2.We forgetabout inflation—always think in terms of your buying power.3.We follow thecrowd.-set your own financial guidelines.4.We are overconfident -If youremember only your victories,you tend to dramatically underestimate theprospect of deteat.5.We hear what we want to hear—A different perspectivemight show where you’ve been kidding yourself.6.We value some dollars lessthan others.一With found money,wait a while before you make any spendingdecisions.7.We bite off more than we can chew--Break every package deal intoits parts and make sure that you want every feature.就表达言,第 5,6,7三条的小标题最可玩味。本文的一个成功之处是:设置“情景”,让读者自己体验,引起共鸣,尔后再作分析,提?
文摘In 1953 a small start-up company in Japan asked government officials at the Ministry of International Trade and Industry (MITI) for permission to buy transistor-manufacturing rights from Western Electric for $25,000. MITI was not impressed with the new technology or the young Japanese firm,and didn’t want to squander scarce foreign currency on either. Permis-
