O. Henry is a realist and humanitarian writer. In his life, he wrote more than 300 short stories and a full-length novel. Sacrifice of Love is a typical O Henry＇s novel, which was formed in American society that chan...O. Henry is a realist and humanitarian writer. In his life, he wrote more than 300 short stories and a full-length novel. Sacrifice of Love is a typical O Henry＇s novel, which was formed in American society that changed from the rapid development ofcapitalism to the era of imperialism. During this period, the rotten social system, ruthless competition and insatiable exploitation jugulatcd and contorted human＇s emotions. In such a society, O. Henry, on the one hand, advocated and paid a tribute to beautiful love. on the other hand, he felt helpless and hateful to the cruel social and hard living conditions. Love itself is holy and sweet, but due to the decay of the social system, love was full of bitterness. This paper focuses on analyzing O. Henry＇s views of love, the reasons of formation and the expression skills. The subject of the Sacrifice of Love is： love itselfis sweet and holy, but in the capitalist society, it is destined to be a tragedy.展开更多
A cascaded projection of the Gaussian mixture model algorithm is proposed.First,the marginal distribution of the Gaussian mixture model is computed for different feature dimensions, and a number of sub-classifiers are...A cascaded projection of the Gaussian mixture model algorithm is proposed.First,the marginal distribution of the Gaussian mixture model is computed for different feature dimensions, and a number of sub-classifiers are generated using the marginal distribution model.Each sub-classifier is based on different feature sets.The cascaded structure is adopted to fuse the sub-classifiers dynamically to achieve sample adaptation ability.Secondly,the effectiveness of the proposed algorithm is verified on electrocardiogram emotional signal and speech emotional signal.Emotional data including fidgetiness,happiness and sadness is collected by induction experiments.Finally,the emotion feature extraction method is discussed,including heart rate variability, the chaotic electrocardiogram feature and utterance level static feature.The emotional feature reduction methods are studied, including principle component analysis,sequential forward selection, the Fisher discriminant ratio and maximal information coefficient.The experimental results show that the proposed classification algorithm can effectively improve recognition accuracy in two different scenarios.展开更多
With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can a...With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can also reduce difficulties in management of online public opinions.A convolutional neural network model based on multi-head attention is proposed to solve the problem of how to effectively model relations among words and identify key words in emotion classification tasks with short text contents and lack of complete context information.Firstly,encode word positions so that order information of input sequences can be used by the model.Secondly,use a multi-head attention mechanism to obtain semantic expressions in different subspaces,effectively capture internal relevance and enhance dependent relationships among words,as well as highlight emotional weights of key emotional words.Then a dilated convolution is used to increase the receptive field and extract more features.On this basis,the above multi-attention mechanism is combined with a convolutional neural network to model and analyze the seven emotional categories of bullet screens.Testing from perspectives of model and dataset,experimental results can validate effectiveness of our approach.Finally,emotions of bullet screens are visualized to provide data supports for hot event controls and other fields.展开更多
Objectives: To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors.Methods:A cross-section design was used,and a convenience sample of nursing students(n...Objectives: To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors.Methods:A cross-section design was used,and a convenience sample of nursing students(n=158 valid)was selected from a tertiary institute in Macao.In addition to demographic questions,the Chinese versions of the Adversity Quotient Scale,the Emotional Intelligence(EI)Scale,the Simplified Coping Style Questionnaire and the Parenting Styles Scale were used to assess the students'characteristics.Results:The average AQ score of the students was 116.72±11.39.AQ scores were negatively correlated with coping-negative,and maternal style(excessive interference,excessive protection)(r=-0.332,P<0.001;r=-0.167,P=0.036).Coping-negative entered the regression equation(F=19.154,P<0.001).The female nursing students had higher scores in ownership dimension of AQ than their male counterparts(31.98±3.26 vs.29.21±3.08,t=-4.442,P<0.001).Conclusions:The average AQ scores of Macao undergraduate nursing students were moderate.The female nursing students are more likely to attribute the cause of adversity to themselves,and specific psychosocial and cultural issues may be at play.There is a necessity for Macao nursing students to improve their ability to overcome setbacks.Special attention should be paid to the cultivation of students'positive coping styles.展开更多
文摘O. Henry is a realist and humanitarian writer. In his life, he wrote more than 300 short stories and a full-length novel. Sacrifice of Love is a typical O Henry＇s novel, which was formed in American society that changed from the rapid development ofcapitalism to the era of imperialism. During this period, the rotten social system, ruthless competition and insatiable exploitation jugulatcd and contorted human＇s emotions. In such a society, O. Henry, on the one hand, advocated and paid a tribute to beautiful love. on the other hand, he felt helpless and hateful to the cruel social and hard living conditions. Love itself is holy and sweet, but due to the decay of the social system, love was full of bitterness. This paper focuses on analyzing O. Henry＇s views of love, the reasons of formation and the expression skills. The subject of the Sacrifice of Love is： love itselfis sweet and holy, but in the capitalist society, it is destined to be a tragedy.
基金The National Natural Science Foundation of China(No.61231002,61273266,51075068,61271359)Doctoral Fund of Ministry of Education of China(No.20110092130004)
文摘A cascaded projection of the Gaussian mixture model algorithm is proposed.First,the marginal distribution of the Gaussian mixture model is computed for different feature dimensions, and a number of sub-classifiers are generated using the marginal distribution model.Each sub-classifier is based on different feature sets.The cascaded structure is adopted to fuse the sub-classifiers dynamically to achieve sample adaptation ability.Secondly,the effectiveness of the proposed algorithm is verified on electrocardiogram emotional signal and speech emotional signal.Emotional data including fidgetiness,happiness and sadness is collected by induction experiments.Finally,the emotion feature extraction method is discussed,including heart rate variability, the chaotic electrocardiogram feature and utterance level static feature.The emotional feature reduction methods are studied, including principle component analysis,sequential forward selection, the Fisher discriminant ratio and maximal information coefficient.The experimental results show that the proposed classification algorithm can effectively improve recognition accuracy in two different scenarios.
基金National Natural Science Foundation of China(No.61562057)Gansu Science and Technology Plan Project(No.18JR3RA104)。
文摘With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can also reduce difficulties in management of online public opinions.A convolutional neural network model based on multi-head attention is proposed to solve the problem of how to effectively model relations among words and identify key words in emotion classification tasks with short text contents and lack of complete context information.Firstly,encode word positions so that order information of input sequences can be used by the model.Secondly,use a multi-head attention mechanism to obtain semantic expressions in different subspaces,effectively capture internal relevance and enhance dependent relationships among words,as well as highlight emotional weights of key emotional words.Then a dilated convolution is used to increase the receptive field and extract more features.On this basis,the above multi-attention mechanism is combined with a convolutional neural network to model and analyze the seven emotional categories of bullet screens.Testing from perspectives of model and dataset,experimental results can validate effectiveness of our approach.Finally,emotions of bullet screens are visualized to provide data supports for hot event controls and other fields.
基金supported by Macao Polytechnic Institute[grant numbers RP/ESCSD 01/2019].
文摘Objectives: To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors.Methods:A cross-section design was used,and a convenience sample of nursing students(n=158 valid)was selected from a tertiary institute in Macao.In addition to demographic questions,the Chinese versions of the Adversity Quotient Scale,the Emotional Intelligence(EI)Scale,the Simplified Coping Style Questionnaire and the Parenting Styles Scale were used to assess the students'characteristics.Results:The average AQ score of the students was 116.72±11.39.AQ scores were negatively correlated with coping-negative,and maternal style(excessive interference,excessive protection)(r=-0.332,P<0.001;r=-0.167,P=0.036).Coping-negative entered the regression equation(F=19.154,P<0.001).The female nursing students had higher scores in ownership dimension of AQ than their male counterparts(31.98±3.26 vs.29.21±3.08,t=-4.442,P<0.001).Conclusions:The average AQ scores of Macao undergraduate nursing students were moderate.The female nursing students are more likely to attribute the cause of adversity to themselves,and specific psychosocial and cultural issues may be at play.There is a necessity for Macao nursing students to improve their ability to overcome setbacks.Special attention should be paid to the cultivation of students'positive coping styles.
