Significant differences in tobacco-control initiatives and achievements between Australia and China have been witnessed in the world,despite the fact that thecountries share the Asia-pacific region and have intimate r...Significant differences in tobacco-control initiatives and achievements between Australia and China have been witnessed in the world,despite the fact that thecountries share the Asia-pacific region and have intimate relationships.The smoking rate in Australia has been on a downward trend since the 1980s and therefore Australia has been portrayed as a“dark market”by global tobacco industry companies.However in China,cigarette smoking is the chief killer that causes deadly health risks to both direct users of tobacco and people exposed to second-hand smoke.Non-communicable diseases due to this have caused great burden to the national medical resources.As a vital intervention tool of mass media campaign,public health advertisements on tobacco-control have played an important role in influencing the cognition and behavior of recipients.This study aims to compare the strategies adopted by the advertisements in Australia and China through corpus-driven multimodal discourse analysis to conduct quantitative analysis and qualitative case study.The results of comparative analysis indicate different pathways of tobacco-control advertisements constructions in the two countries that Australian tobacco-control advertisements achieved better in terms of health communication intervention to encourage cessation among smokers and reduce smoking initiation among potential smokers at the population level.To be compared,Chinese tobacco-control advertisements placed a heavier emphasis on the health hazards caused by second-hand smoking to protect people from the attributable morbidity and mortality.From the perspective of content theme,this study argues that Chinese tobacco-control advertisements should shift the focus to the health damage of smoking to smokers which is more targeted and fundamental.From the perspective of multimodal presentations of the video advertisements,a more prominent demonstration of the health damage is recommended.Moreover,this study argues that cultural-oriented strategies should be developed in the tobacco-control advertisements if considering the cigarette sharing and gifting social phenomenon in the Chinese society.展开更多
Based on 15 kinds of domestic CSSCI journals published about multimodal discourse analysis(MDA)in English teaching,this research discussed the current research status of multimodal discourse analysis in English teachi...Based on 15 kinds of domestic CSSCI journals published about multimodal discourse analysis(MDA)in English teaching,this research discussed the current research status of multimodal discourse analysis in English teaching in China from the aspects of the number and distribution of research results,research topics,research methods,and development trends,and further discussed the reasons for this situation.It pointed out that there are three main problems in the research of multimodal discourse in China:The research framework needs further testing.The multimodal resources are relatively insufficient.The subjects of the research are not balanced.At the same time,this paper summarized the future development trend and provided new points of view for future multimodal English teaching.展开更多
According to multimodal discourse analysis(MDA),different kinds of semiotic modes work together to conduct meaning.Previous studies on MDA only involve case analysis.Nowadays,scholars tend to establish multimodal corp...According to multimodal discourse analysis(MDA),different kinds of semiotic modes work together to conduct meaning.Previous studies on MDA only involve case analysis.Nowadays,scholars tend to establish multimodal corpora to provide a more fuller and comprehensive study on multimodal discourses.In this paper,the author will look at some grand thesis about multimodal corpora and summarize the development of multimodal corpora.展开更多
The multimodal discourse has been playing a significant role in modern society since its springing-up from the 1990s.Based on the theoretical framework of Visual Grammar(VG)put forward by Kress&van Leeuwen(1996),t...The multimodal discourse has been playing a significant role in modern society since its springing-up from the 1990s.Based on the theoretical framework of Visual Grammar(VG)put forward by Kress&van Leeuwen(1996),this study,from the per⁃spective of multimodal discourse analysis,aims at exploring the meaning construction in the emblem of 2019 Beijing International Horticultural Exposition.It is found that an emblem can be interpreted with other modes such as visual image,color and pattern de⁃sign apart from verbal language,which will not only work to participate in the overall meaning construction with mutual interaction,but also analyze how sociocultural background,local customs and humanity spirit are reflected through these forms.展开更多
Because of the high speed of the development of technology,the traditional way to transmit information through language is gradually replaced by the newly appeared multimodal way of analyzing.This paper takes one cosm...Because of the high speed of the development of technology,the traditional way to transmit information through language is gradually replaced by the newly appeared multimodal way of analyzing.This paper takes one cosmetic advertisement of STEERO-REAR as an example,aiming to analyze those adopted modalities in the poster.After analyzing,it is found that the elements,like color and position of the participants,contribute to the meaning construction in an organic way.The meaning and purpose of the producer are realized through the construction of representational meaning,interactive meaning and compositional meaning.展开更多
Posters have been one of the main research subjects in the Systemic-Functional Linguistics. Nowadays, posters are full of various types of semiotic modes with their wide applications of multimodality. This phenomenon ...Posters have been one of the main research subjects in the Systemic-Functional Linguistics. Nowadays, posters are full of various types of semiotic modes with their wide applications of multimodality. This phenomenon is reflected in real estate posters as well, therefore, this thesis hopes to explore their essence of using multimodality and discussing meaning construction of the real estate posters.展开更多
This paper analyzes College English teacher's non-verbal behaviors in multimedia classroom from the perspective ofMultimodal Discourse Analysis, aiming to explore how the non-verbal behaviors in classroom teaching...This paper analyzes College English teacher's non-verbal behaviors in multimedia classroom from the perspective ofMultimodal Discourse Analysis, aiming to explore how the non-verbal behaviors in classroom teaching can be applied in meaning-making process to facilitate teacher-students interaction and realize three metafunctions of language in class.展开更多
With the development of science and technology,especially the development of digital technology,mankind has entered the age of multimedia,and the mode of human life and communication have undergone profound changes.As...With the development of science and technology,especially the development of digital technology,mankind has entered the age of multimedia,and the mode of human life and communication have undergone profound changes.As a single communicative mode,language has been gradually replaced by complex communicative mode composed of language,image and sound.Multimodal discourse analysis provides a new perspective for discourse analysis composed of a variety of symbols,which can help readers understand how symbols such as images and music work together and form meanings.Firm analysis is often analyzed from the perspective of psychology,aesthetics and other macro aspects,but seldom from the perspective of linguistics.The paper analyzes how the theory of multimodal discourse analysis affects the translation of film by discussing the interaction between film translation and multimodal modes in the film Pride and Prejudice.展开更多
It is based on multimodal discourse theory,with the help of a questionnaire survey,to study the multimodal choice of online courses and its dominant factors under the condition of virtual technology.It puts forward ta...It is based on multimodal discourse theory,with the help of a questionnaire survey,to study the multimodal choice of online courses and its dominant factors under the condition of virtual technology.It puts forward targeted implementation suggestions for online teaching and providings references for the rapid deployment and implementation of online teaching in domestic colleges and universities.展开更多
Multimodal Discourse Analysis which is based on the Systematic Functional Linguistic Theory has been hotly discussed in the field of linguistics and social semiotics recently.Based on Kress and Van Leeuween s the Gram...Multimodal Discourse Analysis which is based on the Systematic Functional Linguistic Theory has been hotly discussed in the field of linguistics and social semiotics recently.Based on Kress and Van Leeuween s the Grammar of Visual Design,this paper analyzes the advertisement of Vivo from the representational meaning,interactive meaning and compositional meaning of the images.This reveals the expressional function of the images as a kind of social semiotics.展开更多
With the rapid development of modern technology,textbooks have been undergoing great changes from the traditionallypaper-based form to the multimodal form.Multimodality has become a major feature of textbook discourse...With the rapid development of modern technology,textbooks have been undergoing great changes from the traditionallypaper-based form to the multimodal form.Multimodality has become a major feature of textbook discourse.Multimodal discourseanalysis is a new approach to discourse analysis based on the semiotic theory of systemic functional linguistics.This paper providesa detailed review of multimodal discourse analysis(hereafter MDA) in modern linguistics and some previous researches on textbookdiscourse.Then it further outlines what have already been done on textbook discourse from the perspective of MDA.展开更多
Nowadays, the multimodal discourse analysis theory becomes increasingly important in the language teaching. This paper tries to elaborate the ways to apply the multimodal discourse analysis theory into College English...Nowadays, the multimodal discourse analysis theory becomes increasingly important in the language teaching. This paper tries to elaborate the ways to apply the multimodal discourse analysis theory into College English teaching after analyzing the status-quo of College English teaching on the basis of the theory and the significance of the application of multimodal discourse analysis theory in the College English teaching, hoping to contribute to the College English teaching reform.展开更多
With the innovation of information technology,the communication mode which is dominated by language has changed,and image,sound,color and other semiotic resources are playing an increasingly important role in the mean...With the innovation of information technology,the communication mode which is dominated by language has changed,and image,sound,color and other semiotic resources are playing an increasingly important role in the meaning construction of com?munication.Thus,the multimodal discourse whose communicative meaning is achieved by a variety of semiotic resources aroused the attention of scholars,and multimodal discourse analysis emerged as required.Therefore,based on Kress and van Leeuwen’s vi?sual grammar,this thesis makes a multimodal discourse analysis(MDA)of the publicity film of Qingdao published before the SCO summit,exploring the meaning-making of visual modality.展开更多
This paper carries out a multimodal discourse analysis of a movie poster:A.I.Artificial Intelligence based on the Kress and van Leeuwen’s visual grammar.The result of analysis shows that a movie poster as a special d...This paper carries out a multimodal discourse analysis of a movie poster:A.I.Artificial Intelligence based on the Kress and van Leeuwen’s visual grammar.The result of analysis shows that a movie poster as a special discourse demonstrates greatly the cultural value and artistic charm itself.The analysis might give insight to the design of movie posters.展开更多
As is known to all, language takes a significant role in communication and understanding. Actually, according to Systemic-Function and visual grammar, a varitey of semiotic resources such as image, color, could be ana...As is known to all, language takes a significant role in communication and understanding. Actually, according to Systemic-Function and visual grammar, a varitey of semiotic resources such as image, color, could be analysed and understood as a language. A movie poster is an example of decoding a complex intergration of a variety of semiotic resources. Through analysing a movie poster, it is clear to see how the realization of the three meta-functions based on Systemic-Function contributes to the overall meaning conveyed by movie posters.展开更多
BACKGROUND According to clinical data,a significant percentage of patients experience pain after surgery,highlighting the importance of alleviating postoperative pain.The current approach involves intravenous self-con...BACKGROUND According to clinical data,a significant percentage of patients experience pain after surgery,highlighting the importance of alleviating postoperative pain.The current approach involves intravenous self-control analgesia,often utilizing opioid analgesics such as morphine,sufentanil,and fentanyl.Surgery for colo-rectal cancer typically involves general anesthesia.Therefore,optimizing anes-thetic management and postoperative analgesic programs can effectively reduce perioperative stress and enhance postoperative recovery.The study aims to analyze the impact of different anesthesia modalities with multimodal analgesia on patients'postoperative pain.AIM To explore the effects of different anesthesia methods coupled with multi-mode analgesia on postoperative pain in patients with colorectal cancer.METHODS Following the inclusion criteria and exclusion criteria,a total of 126 patients with colorectal cancer admitted to our hospital from January 2020 to December 2022 were included,of which 63 received general anesthesia coupled with multi-mode labor pain and were set as the control group,and 63 received general anesthesia associated with epidural anesthesia coupled with multi-mode labor pain and were set as the research group.After data collection,the effects of postoperative analgesia,sedation,and recovery were compared.RESULTS Compared to the control group,the research group had shorter recovery times for orientation,extubation,eye-opening,and spontaneous respiration(P<0.05).The research group also showed lower Visual analog scale scores at 24 h and 48 h,higher Ramany scores at 6 h and 12 h,and improved cognitive function at 24 h,48 h,and 72 h(P<0.05).Additionally,interleukin-6 and interleukin-10 levels were significantly reduced at various time points in the research group compared to the control group(P<0.05).Levels of CD3+,CD4+,and CD4+/CD8+were also lower in the research group at multiple time points(P<0.05).CONCLUSION For patients with colorectal cancer,general anesthesia coupled with epidural anesthesia and multi-mode analgesia can achieve better postoperative analgesia and sedation effects,promote postoperative rehabilitation of patients,improve inflammatory stress and immune status,and have higher safety.展开更多
Multimodal sentiment analysis utilizes multimodal data such as text,facial expressions and voice to detect people’s attitudes.With the advent of distributed data collection and annotation,we can easily obtain and sha...Multimodal sentiment analysis utilizes multimodal data such as text,facial expressions and voice to detect people’s attitudes.With the advent of distributed data collection and annotation,we can easily obtain and share such multimodal data.However,due to professional discrepancies among annotators and lax quality control,noisy labels might be introduced.Recent research suggests that deep neural networks(DNNs)will overfit noisy labels,leading to the poor performance of the DNNs.To address this challenging problem,we present a Multimodal Robust Meta Learning framework(MRML)for multimodal sentiment analysis to resist noisy labels and correlate distinct modalities simultaneously.Specifically,we propose a two-layer fusion net to deeply fuse different modalities and improve the quality of the multimodal data features for label correction and network training.Besides,a multiple meta-learner(label corrector)strategy is proposed to enhance the label correction approach and prevent models from overfitting to noisy labels.We conducted experiments on three popular multimodal datasets to verify the superiority of ourmethod by comparing it with four baselines.展开更多
In air traffic control communications (ATCC), misunderstandings between pilots and controllers could result in fatal aviation accidents. Fortunately, advanced automatic speech recognition technology has emerged as a p...In air traffic control communications (ATCC), misunderstandings between pilots and controllers could result in fatal aviation accidents. Fortunately, advanced automatic speech recognition technology has emerged as a promising means of preventing miscommunications and enhancing aviation safety. However, most existing speech recognition methods merely incorporate external language models on the decoder side, leading to insufficient semantic alignment between speech and text modalities during the encoding phase. Furthermore, it is challenging to model acoustic context dependencies over long distances due to the longer speech sequences than text, especially for the extended ATCC data. To address these issues, we propose a speech-text multimodal dual-tower architecture for speech recognition. It employs cross-modal interactions to achieve close semantic alignment during the encoding stage and strengthen its capabilities in modeling auditory long-distance context dependencies. In addition, a two-stage training strategy is elaborately devised to derive semantics-aware acoustic representations effectively. The first stage focuses on pre-training the speech-text multimodal encoding module to enhance inter-modal semantic alignment and aural long-distance context dependencies. The second stage fine-tunes the entire network to bridge the input modality variation gap between the training and inference phases and boost generalization performance. Extensive experiments demonstrate the effectiveness of the proposed speech-text multimodal speech recognition method on the ATCC and AISHELL-1 datasets. It reduces the character error rate to 6.54% and 8.73%, respectively, and exhibits substantial performance gains of 28.76% and 23.82% compared with the best baseline model. The case studies indicate that the obtained semantics-aware acoustic representations aid in accurately recognizing terms with similar pronunciations but distinctive semantics. The research provides a novel modeling paradigm for semantics-aware speech recognition in air traffic control communications, which could contribute to the advancement of intelligent and efficient aviation safety management.展开更多
Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that...Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that can predict the preoperative lymph node(LN)status in EC patients.METHODS A total of 32 EC patients confirmed by clinical pathology(who underwent surgical treatment)were included.Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy,and its correlation with LNM was analyzed.Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python.Feature extraction,data dimensionality reduction,and feature selection were performed using XGBoost model and leave-one-out cross-validation.Multivariable logistic regression analysis was used to establish the prediction model,which included radiomics features,LN status from computed tomography(CT)reports,and B7-H3 mRNA expression,represented by a radiomics nomogram.Receiver operating characteristic area under the curve(AUC)and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical application value of the model.RESULTS The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis,and the difference was statistically significant(P<0.05).The AUC value in the receiver operating characteristic(ROC)curve was 0.718(95%CI:0.528-0.907),with a sensitivity of 0.733 and specificity of 0.706,indicating good diagnostic performance.The individualized clinical prediction nomogram included radiomics features,LN status from CT reports,and B7-H3 mRNA expression.The ROC curve demonstrated good diagnostic value,with an AUC value of 0.765(95%CI:0.598-0.931),sensitivity of 0.800,and specificity of 0.706.DCA indicated the practical value of the radiomics nomogram in clinical practice.CONCLUSION This study developed a radiomics nomogram that includes radiomics features,LN status from CT reports,and B7-H3 mRNA expression,enabling convenient preoperative individualized prediction of LNM in EC patients.展开更多
文摘Significant differences in tobacco-control initiatives and achievements between Australia and China have been witnessed in the world,despite the fact that thecountries share the Asia-pacific region and have intimate relationships.The smoking rate in Australia has been on a downward trend since the 1980s and therefore Australia has been portrayed as a“dark market”by global tobacco industry companies.However in China,cigarette smoking is the chief killer that causes deadly health risks to both direct users of tobacco and people exposed to second-hand smoke.Non-communicable diseases due to this have caused great burden to the national medical resources.As a vital intervention tool of mass media campaign,public health advertisements on tobacco-control have played an important role in influencing the cognition and behavior of recipients.This study aims to compare the strategies adopted by the advertisements in Australia and China through corpus-driven multimodal discourse analysis to conduct quantitative analysis and qualitative case study.The results of comparative analysis indicate different pathways of tobacco-control advertisements constructions in the two countries that Australian tobacco-control advertisements achieved better in terms of health communication intervention to encourage cessation among smokers and reduce smoking initiation among potential smokers at the population level.To be compared,Chinese tobacco-control advertisements placed a heavier emphasis on the health hazards caused by second-hand smoking to protect people from the attributable morbidity and mortality.From the perspective of content theme,this study argues that Chinese tobacco-control advertisements should shift the focus to the health damage of smoking to smokers which is more targeted and fundamental.From the perspective of multimodal presentations of the video advertisements,a more prominent demonstration of the health damage is recommended.Moreover,this study argues that cultural-oriented strategies should be developed in the tobacco-control advertisements if considering the cigarette sharing and gifting social phenomenon in the Chinese society.
文摘Based on 15 kinds of domestic CSSCI journals published about multimodal discourse analysis(MDA)in English teaching,this research discussed the current research status of multimodal discourse analysis in English teaching in China from the aspects of the number and distribution of research results,research topics,research methods,and development trends,and further discussed the reasons for this situation.It pointed out that there are three main problems in the research of multimodal discourse in China:The research framework needs further testing.The multimodal resources are relatively insufficient.The subjects of the research are not balanced.At the same time,this paper summarized the future development trend and provided new points of view for future multimodal English teaching.
文摘According to multimodal discourse analysis(MDA),different kinds of semiotic modes work together to conduct meaning.Previous studies on MDA only involve case analysis.Nowadays,scholars tend to establish multimodal corpora to provide a more fuller and comprehensive study on multimodal discourses.In this paper,the author will look at some grand thesis about multimodal corpora and summarize the development of multimodal corpora.
文摘The multimodal discourse has been playing a significant role in modern society since its springing-up from the 1990s.Based on the theoretical framework of Visual Grammar(VG)put forward by Kress&van Leeuwen(1996),this study,from the per⁃spective of multimodal discourse analysis,aims at exploring the meaning construction in the emblem of 2019 Beijing International Horticultural Exposition.It is found that an emblem can be interpreted with other modes such as visual image,color and pattern de⁃sign apart from verbal language,which will not only work to participate in the overall meaning construction with mutual interaction,but also analyze how sociocultural background,local customs and humanity spirit are reflected through these forms.
文摘Because of the high speed of the development of technology,the traditional way to transmit information through language is gradually replaced by the newly appeared multimodal way of analyzing.This paper takes one cosmetic advertisement of STEERO-REAR as an example,aiming to analyze those adopted modalities in the poster.After analyzing,it is found that the elements,like color and position of the participants,contribute to the meaning construction in an organic way.The meaning and purpose of the producer are realized through the construction of representational meaning,interactive meaning and compositional meaning.
文摘Posters have been one of the main research subjects in the Systemic-Functional Linguistics. Nowadays, posters are full of various types of semiotic modes with their wide applications of multimodality. This phenomenon is reflected in real estate posters as well, therefore, this thesis hopes to explore their essence of using multimodality and discussing meaning construction of the real estate posters.
基金supported by the Fundamental Research Funds for the Central Universities under grant No. 3102014RW0023Higher Education Research Fund under grant No. 2014GJY09
文摘This paper analyzes College English teacher's non-verbal behaviors in multimedia classroom from the perspective ofMultimodal Discourse Analysis, aiming to explore how the non-verbal behaviors in classroom teaching can be applied in meaning-making process to facilitate teacher-students interaction and realize three metafunctions of language in class.
文摘With the development of science and technology,especially the development of digital technology,mankind has entered the age of multimedia,and the mode of human life and communication have undergone profound changes.As a single communicative mode,language has been gradually replaced by complex communicative mode composed of language,image and sound.Multimodal discourse analysis provides a new perspective for discourse analysis composed of a variety of symbols,which can help readers understand how symbols such as images and music work together and form meanings.Firm analysis is often analyzed from the perspective of psychology,aesthetics and other macro aspects,but seldom from the perspective of linguistics.The paper analyzes how the theory of multimodal discourse analysis affects the translation of film by discussing the interaction between film translation and multimodal modes in the film Pride and Prejudice.
文摘It is based on multimodal discourse theory,with the help of a questionnaire survey,to study the multimodal choice of online courses and its dominant factors under the condition of virtual technology.It puts forward targeted implementation suggestions for online teaching and providings references for the rapid deployment and implementation of online teaching in domestic colleges and universities.
文摘Multimodal Discourse Analysis which is based on the Systematic Functional Linguistic Theory has been hotly discussed in the field of linguistics and social semiotics recently.Based on Kress and Van Leeuween s the Grammar of Visual Design,this paper analyzes the advertisement of Vivo from the representational meaning,interactive meaning and compositional meaning of the images.This reveals the expressional function of the images as a kind of social semiotics.
文摘With the rapid development of modern technology,textbooks have been undergoing great changes from the traditionallypaper-based form to the multimodal form.Multimodality has become a major feature of textbook discourse.Multimodal discourseanalysis is a new approach to discourse analysis based on the semiotic theory of systemic functional linguistics.This paper providesa detailed review of multimodal discourse analysis(hereafter MDA) in modern linguistics and some previous researches on textbookdiscourse.Then it further outlines what have already been done on textbook discourse from the perspective of MDA.
文摘Nowadays, the multimodal discourse analysis theory becomes increasingly important in the language teaching. This paper tries to elaborate the ways to apply the multimodal discourse analysis theory into College English teaching after analyzing the status-quo of College English teaching on the basis of the theory and the significance of the application of multimodal discourse analysis theory in the College English teaching, hoping to contribute to the College English teaching reform.
文摘With the innovation of information technology,the communication mode which is dominated by language has changed,and image,sound,color and other semiotic resources are playing an increasingly important role in the meaning construction of com?munication.Thus,the multimodal discourse whose communicative meaning is achieved by a variety of semiotic resources aroused the attention of scholars,and multimodal discourse analysis emerged as required.Therefore,based on Kress and van Leeuwen’s vi?sual grammar,this thesis makes a multimodal discourse analysis(MDA)of the publicity film of Qingdao published before the SCO summit,exploring the meaning-making of visual modality.
文摘This paper carries out a multimodal discourse analysis of a movie poster:A.I.Artificial Intelligence based on the Kress and van Leeuwen’s visual grammar.The result of analysis shows that a movie poster as a special discourse demonstrates greatly the cultural value and artistic charm itself.The analysis might give insight to the design of movie posters.
文摘As is known to all, language takes a significant role in communication and understanding. Actually, according to Systemic-Function and visual grammar, a varitey of semiotic resources such as image, color, could be analysed and understood as a language. A movie poster is an example of decoding a complex intergration of a variety of semiotic resources. Through analysing a movie poster, it is clear to see how the realization of the three meta-functions based on Systemic-Function contributes to the overall meaning conveyed by movie posters.
文摘BACKGROUND According to clinical data,a significant percentage of patients experience pain after surgery,highlighting the importance of alleviating postoperative pain.The current approach involves intravenous self-control analgesia,often utilizing opioid analgesics such as morphine,sufentanil,and fentanyl.Surgery for colo-rectal cancer typically involves general anesthesia.Therefore,optimizing anes-thetic management and postoperative analgesic programs can effectively reduce perioperative stress and enhance postoperative recovery.The study aims to analyze the impact of different anesthesia modalities with multimodal analgesia on patients'postoperative pain.AIM To explore the effects of different anesthesia methods coupled with multi-mode analgesia on postoperative pain in patients with colorectal cancer.METHODS Following the inclusion criteria and exclusion criteria,a total of 126 patients with colorectal cancer admitted to our hospital from January 2020 to December 2022 were included,of which 63 received general anesthesia coupled with multi-mode labor pain and were set as the control group,and 63 received general anesthesia associated with epidural anesthesia coupled with multi-mode labor pain and were set as the research group.After data collection,the effects of postoperative analgesia,sedation,and recovery were compared.RESULTS Compared to the control group,the research group had shorter recovery times for orientation,extubation,eye-opening,and spontaneous respiration(P<0.05).The research group also showed lower Visual analog scale scores at 24 h and 48 h,higher Ramany scores at 6 h and 12 h,and improved cognitive function at 24 h,48 h,and 72 h(P<0.05).Additionally,interleukin-6 and interleukin-10 levels were significantly reduced at various time points in the research group compared to the control group(P<0.05).Levels of CD3+,CD4+,and CD4+/CD8+were also lower in the research group at multiple time points(P<0.05).CONCLUSION For patients with colorectal cancer,general anesthesia coupled with epidural anesthesia and multi-mode analgesia can achieve better postoperative analgesia and sedation effects,promote postoperative rehabilitation of patients,improve inflammatory stress and immune status,and have higher safety.
基金supported by STI 2030-Major Projects 2021ZD0200400National Natural Science Foundation of China(62276233 and 62072405)Key Research Project of Zhejiang Province(2023C01048).
文摘Multimodal sentiment analysis utilizes multimodal data such as text,facial expressions and voice to detect people’s attitudes.With the advent of distributed data collection and annotation,we can easily obtain and share such multimodal data.However,due to professional discrepancies among annotators and lax quality control,noisy labels might be introduced.Recent research suggests that deep neural networks(DNNs)will overfit noisy labels,leading to the poor performance of the DNNs.To address this challenging problem,we present a Multimodal Robust Meta Learning framework(MRML)for multimodal sentiment analysis to resist noisy labels and correlate distinct modalities simultaneously.Specifically,we propose a two-layer fusion net to deeply fuse different modalities and improve the quality of the multimodal data features for label correction and network training.Besides,a multiple meta-learner(label corrector)strategy is proposed to enhance the label correction approach and prevent models from overfitting to noisy labels.We conducted experiments on three popular multimodal datasets to verify the superiority of ourmethod by comparing it with four baselines.
基金This research was funded by Shenzhen Science and Technology Program(Grant No.RCBS20221008093121051)the General Higher Education Project of Guangdong Provincial Education Department(Grant No.2020ZDZX3085)+1 种基金China Postdoctoral Science Foundation(Grant No.2021M703371)the Post-Doctoral Foundation Project of Shenzhen Polytechnic(Grant No.6021330002K).
文摘In air traffic control communications (ATCC), misunderstandings between pilots and controllers could result in fatal aviation accidents. Fortunately, advanced automatic speech recognition technology has emerged as a promising means of preventing miscommunications and enhancing aviation safety. However, most existing speech recognition methods merely incorporate external language models on the decoder side, leading to insufficient semantic alignment between speech and text modalities during the encoding phase. Furthermore, it is challenging to model acoustic context dependencies over long distances due to the longer speech sequences than text, especially for the extended ATCC data. To address these issues, we propose a speech-text multimodal dual-tower architecture for speech recognition. It employs cross-modal interactions to achieve close semantic alignment during the encoding stage and strengthen its capabilities in modeling auditory long-distance context dependencies. In addition, a two-stage training strategy is elaborately devised to derive semantics-aware acoustic representations effectively. The first stage focuses on pre-training the speech-text multimodal encoding module to enhance inter-modal semantic alignment and aural long-distance context dependencies. The second stage fine-tunes the entire network to bridge the input modality variation gap between the training and inference phases and boost generalization performance. Extensive experiments demonstrate the effectiveness of the proposed speech-text multimodal speech recognition method on the ATCC and AISHELL-1 datasets. It reduces the character error rate to 6.54% and 8.73%, respectively, and exhibits substantial performance gains of 28.76% and 23.82% compared with the best baseline model. The case studies indicate that the obtained semantics-aware acoustic representations aid in accurately recognizing terms with similar pronunciations but distinctive semantics. The research provides a novel modeling paradigm for semantics-aware speech recognition in air traffic control communications, which could contribute to the advancement of intelligent and efficient aviation safety management.
基金The Yancheng Key Research and Development Program(Social Development),No.YCBE202324。
文摘Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that can predict the preoperative lymph node(LN)status in EC patients.METHODS A total of 32 EC patients confirmed by clinical pathology(who underwent surgical treatment)were included.Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy,and its correlation with LNM was analyzed.Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python.Feature extraction,data dimensionality reduction,and feature selection were performed using XGBoost model and leave-one-out cross-validation.Multivariable logistic regression analysis was used to establish the prediction model,which included radiomics features,LN status from computed tomography(CT)reports,and B7-H3 mRNA expression,represented by a radiomics nomogram.Receiver operating characteristic area under the curve(AUC)and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical application value of the model.RESULTS The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis,and the difference was statistically significant(P<0.05).The AUC value in the receiver operating characteristic(ROC)curve was 0.718(95%CI:0.528-0.907),with a sensitivity of 0.733 and specificity of 0.706,indicating good diagnostic performance.The individualized clinical prediction nomogram included radiomics features,LN status from CT reports,and B7-H3 mRNA expression.The ROC curve demonstrated good diagnostic value,with an AUC value of 0.765(95%CI:0.598-0.931),sensitivity of 0.800,and specificity of 0.706.DCA indicated the practical value of the radiomics nomogram in clinical practice.CONCLUSION This study developed a radiomics nomogram that includes radiomics features,LN status from CT reports,and B7-H3 mRNA expression,enabling convenient preoperative individualized prediction of LNM in EC patients.
