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
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.
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
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
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
Following publication of the original article(Andreadis et al.2023),the authors reported that they mistakenly omitted the affiliations 1,2 and 3 for Ioannis Andreadis,Athanasios D.Fragkou and Theodoros E.Karakasidis.T...Following publication of the original article(Andreadis et al.2023),the authors reported that they mistakenly omitted the affiliations 1,2 and 3 for Ioannis Andreadis,Athanasios D.Fragkou and Theodoros E.Karakasidis.The correct affiliations for each author should read.展开更多
Erratum to:https://doi.org/10.1007/s00343-022-2154-6 The financial supporting information of this article contains a mistake.The correct one is given below.
The authors regret that the clinical trial registration number appear incorrectly due to their unintentional mistake,which matched another of their clinical trial project.The correct registration number is(ChiCTR20000...The authors regret that the clinical trial registration number appear incorrectly due to their unintentional mistake,which matched another of their clinical trial project.The correct registration number is(ChiCTR2000039097).The authors would like to apologise for any inconvenience caused.展开更多
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
1 A newly published study shows that chess players perform objectively worse and make more suboptimal(次优的)moves when there is more fine particulate matter(颗粒物)in the air.2“We find that when individuals are expo...1 A newly published study shows that chess players perform objectively worse and make more suboptimal(次优的)moves when there is more fine particulate matter(颗粒物)in the air.2“We find that when individuals are exposed to higher levels of air pollution,they will make more mistakes,and they will make larger mistakes.”展开更多
This paper has a brief look to the life of Theodore Dreiser(1871-1945),one of the most important writers in American literature and background information of composing his first novel"Sister Carrie".It mainl...This paper has a brief look to the life of Theodore Dreiser(1871-1945),one of the most important writers in American literature and background information of composing his first novel"Sister Carrie".It mainly touches on the causes for the fall of Hurstwood.Three reasons are listed:theft,his crazy infatuation for Carrie and not adapting for the new circumstances.展开更多
In last years, the problem of building s stability in northern areas has become aggravating. The main reasons mass deformations areas follows: 1) mistakes during research, planning, construction and operation of objec...In last years, the problem of building s stability in northern areas has become aggravating. The main reasons mass deformations areas follows: 1) mistakes during research, planning, construction and operation of objects; 2) negative changes in frozen ground, bound with reduction of footing s bearing capacity under technogenic impact; 3) premature wear of material of underground constructions under influence of natural and technogenic factors.展开更多
This paper is an attempt to improve the studen the written English level. There are three parts in this passage. Part one: Analyze the types of mistakes. Part two is "six - step" method in written English. P...This paper is an attempt to improve the studen the written English level. There are three parts in this passage. Part one: Analyze the types of mistakes. Part two is "six - step" method in written English. Part three is conclusion.展开更多
The task of automatically analyzing sentiments from a tweet has more use now than ever due to the spectrum of emotions expressed from national leaders to the average man.Analyzing this data can be critical for any org...The task of automatically analyzing sentiments from a tweet has more use now than ever due to the spectrum of emotions expressed from national leaders to the average man.Analyzing this data can be critical for any organization.Sentiments are often expressed with different intensity and topics which can provide great insight into how something affects society.Sentiment analysis in Twittermitigates the various issues of analyzing the tweets in terms of views expressed and several approaches have already been proposed for sentiment analysis in twitter.Resources used for analyzing tweet emotions are also briefly presented in literature survey section.In this paper,hybrid combination of different model’s LSTM-CNN have been proposed where LSTMis Long Short TermMemory andCNNrepresents ConvolutionalNeural Network.Furthermore,the main contribution of our work is to compare various deep learning and machine learning models and categorization based on the techniques used.The main drawback of LSTM is that it’s a timeconsuming process whereas CNN do not express content information in an accurate way,thus our proposed hybrid technique improves the precision rate and helps in achieving better results.Initial step of our mentioned technique is to preprocess the data in order to remove stop words and unnecessary data to improve the efficiency in terms of time and accuracy also it shows optimal results when it is compared with predefined approaches.展开更多
本期话题如下:1. What is your opinion about capital punishment?It is fair,The criminals deserve it.People can be protected.Order can be kept.Peace can be maintained.It is cruel.It should be abolished.“杀人偿命”,这几...本期话题如下:1. What is your opinion about capital punishment?It is fair,The criminals deserve it.People can be protected.Order can be kept.Peace can be maintained.It is cruel.It should be abolished.“杀人偿命”,这几乎是人人皆知的道理。因为那些危害社会治安、损坏公共财产、残害人民生命的罪犯不清除掉就不足以平民愤,社会就不稳定,展开更多
Ships usually operate in the vibrant and dynamic environment;a majority of crews work and have a rest in a stressful space and have daily job displacements that working in it and moving from port disrupt as soon as re...Ships usually operate in the vibrant and dynamic environment;a majority of crews work and have a rest in a stressful space and have daily job displacements that working in it and moving from port disrupt as soon as reaching to port. Such conditions which require living at work place for a long time raises a unique job life which causes increase in risks of human mistakes. Huge marine accidents occur per year in country in which human element plays a major role. Identification and analysis of the components affect individuals as the staffs in ships, so that such component raises the conditions due to inattention which result in rise of severe and more severe marine accidents. Evaluation of each component has been taken into account in the present research. The present research seeks to examine and identity factors affecting human elements in marine accidents.展开更多
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-
文摘Following publication of the original article(Andreadis et al.2023),the authors reported that they mistakenly omitted the affiliations 1,2 and 3 for Ioannis Andreadis,Athanasios D.Fragkou and Theodoros E.Karakasidis.The correct affiliations for each author should read.
基金Supported by the National S&T Basic Resources Investigation Program of China(No.2018YF100200)the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)(No.2018SDKJ0504)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA23050304)。
文摘Erratum to:https://doi.org/10.1007/s00343-022-2154-6 The financial supporting information of this article contains a mistake.The correct one is given below.
文摘The authors regret that the clinical trial registration number appear incorrectly due to their unintentional mistake,which matched another of their clinical trial project.The correct registration number is(ChiCTR2000039097).The authors would like to apologise for any inconvenience caused.
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1 A newly published study shows that chess players perform objectively worse and make more suboptimal(次优的)moves when there is more fine particulate matter(颗粒物)in the air.2“We find that when individuals are exposed to higher levels of air pollution,they will make more mistakes,and they will make larger mistakes.”
文摘This paper has a brief look to the life of Theodore Dreiser(1871-1945),one of the most important writers in American literature and background information of composing his first novel"Sister Carrie".It mainly touches on the causes for the fall of Hurstwood.Three reasons are listed:theft,his crazy infatuation for Carrie and not adapting for the new circumstances.
文摘In last years, the problem of building s stability in northern areas has become aggravating. The main reasons mass deformations areas follows: 1) mistakes during research, planning, construction and operation of objects; 2) negative changes in frozen ground, bound with reduction of footing s bearing capacity under technogenic impact; 3) premature wear of material of underground constructions under influence of natural and technogenic factors.
文摘This paper is an attempt to improve the studen the written English level. There are three parts in this passage. Part one: Analyze the types of mistakes. Part two is "six - step" method in written English. Part three is conclusion.
基金The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under Grant Number(RGP.2/23/42),www.kku.edu.sa.This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-Track Path of Research Funding Program.
文摘The task of automatically analyzing sentiments from a tweet has more use now than ever due to the spectrum of emotions expressed from national leaders to the average man.Analyzing this data can be critical for any organization.Sentiments are often expressed with different intensity and topics which can provide great insight into how something affects society.Sentiment analysis in Twittermitigates the various issues of analyzing the tweets in terms of views expressed and several approaches have already been proposed for sentiment analysis in twitter.Resources used for analyzing tweet emotions are also briefly presented in literature survey section.In this paper,hybrid combination of different model’s LSTM-CNN have been proposed where LSTMis Long Short TermMemory andCNNrepresents ConvolutionalNeural Network.Furthermore,the main contribution of our work is to compare various deep learning and machine learning models and categorization based on the techniques used.The main drawback of LSTM is that it’s a timeconsuming process whereas CNN do not express content information in an accurate way,thus our proposed hybrid technique improves the precision rate and helps in achieving better results.Initial step of our mentioned technique is to preprocess the data in order to remove stop words and unnecessary data to improve the efficiency in terms of time and accuracy also it shows optimal results when it is compared with predefined approaches.
文摘本期话题如下:1. What is your opinion about capital punishment?It is fair,The criminals deserve it.People can be protected.Order can be kept.Peace can be maintained.It is cruel.It should be abolished.“杀人偿命”,这几乎是人人皆知的道理。因为那些危害社会治安、损坏公共财产、残害人民生命的罪犯不清除掉就不足以平民愤,社会就不稳定,
文摘Ships usually operate in the vibrant and dynamic environment;a majority of crews work and have a rest in a stressful space and have daily job displacements that working in it and moving from port disrupt as soon as reaching to port. Such conditions which require living at work place for a long time raises a unique job life which causes increase in risks of human mistakes. Huge marine accidents occur per year in country in which human element plays a major role. Identification and analysis of the components affect individuals as the staffs in ships, so that such component raises the conditions due to inattention which result in rise of severe and more severe marine accidents. Evaluation of each component has been taken into account in the present research. The present research seeks to examine and identity factors affecting human elements in marine accidents.
