TENORM Regulation in the United States of America post-West Virginia vs.EPA Spenser Lynn,Charles Wilson,Emily Caffrey1(1.University of Alabama at Birmingham,School of Health Professions,Clinical and Diagnostic Science...TENORM Regulation in the United States of America post-West Virginia vs.EPA Spenser Lynn,Charles Wilson,Emily Caffrey1(1.University of Alabama at Birmingham,School of Health Professions,Clinical and Diagnostic Sciences,Health Physics Program,1720 University Blvd,Birmingham,AL 35294)Abstract:The regulation of technologically enhanced naturally occurring radioactive materials(TENORM)in the United States of America consists of fragmentary rules split between the federal and state governments.展开更多
Effects of High Temperature and High Humidity on the Degree of Ocular Damage Caused by 60 GHz Millimeter Wave Exposure Masami Kojima1,2,Takafumi Tasaki3,4,Toshio Kamijo5,Aki Hada5,Yukihisa Suzuki5,Masateru Ikehata6,Hi...Effects of High Temperature and High Humidity on the Degree of Ocular Damage Caused by 60 GHz Millimeter Wave Exposure Masami Kojima1,2,Takafumi Tasaki3,4,Toshio Kamijo5,Aki Hada5,Yukihisa Suzuki5,Masateru Ikehata6,Hiroshi Sasaki1,2(1.Division of Vision Research for Environmental Health,Medical Research Institute,Kanazawa Medical University,Kahoku,Japan;2.Department of Ophthalmology,Kanazawa Medical University,Kahoku,Japan;3.Division of Protein Regulation Research,Medical Research Institute;4.Department of Medical Zoology,Kanazawa Medical University,Kahoku,Japan;5.Department of Electrical Engineering and Computer Science,Graduate School of Systems Design,Tokyo Metropolitan University,Tokyo,Japan;6.Comfort Science and Engineering Laboratory,Human Science Division,Railway Technical Research Institute,Tokyo,Japan)Abstract:Millimeter waves(MMW)are pervasive in society;however,studies on the biological effects of MMWexposure are usually performed in laboratory settings not reflecting global environmental diversity.We investigated the effects of a 6 min exposure to 60 GHz MMW(wavelength,5.0 mm)at incident power densities of 200 and 300 mW cm-2 in eyes(exposed right eyes vs.unexposed left eyes)under various ambient temperature/relative humidity environments(24℃/50%,45℃/20%,and 45℃/80%)using an in vivo rabbit model.Correlations were examined with adverse ocular events,including corneal epithelial damage(assessed using fluorescein staining),corneal opacity(evaluated by slit-lamp microscopy)。展开更多
Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant ad...Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant advantages of GAs,including improved clarity,increased reader engagement,and enhanced visibility of research findings.By transforming intricate scientific data into accessible visual formats,these abstracts facilitate quick and effective knowledge transfer,crucial in clinical decision-making and patient care.However,challenges such as potential data misrepresentation due to oversimplification,the skill gap in graphic design among researchers,and the lack of standardized creation guidelines pose barriers to their widespread adoption.Additionally,while software such as Adobe Illustrator,BioRender,and Canva are commonly employed to create these visuals,not all researchers may be proficient in their use.To address these issues,we recommend that academic journals establish clear guidelines and provide necessary design training to researchers.This proactive approach will ensure the creation of high-quality GAs,promote their standardization,and expand their use in clinical reporting,ultimately benefiting the medical community and improving healthcare outcomes.展开更多
The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and...The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and insights, influencing daily habits, and driving business, political, and economic decisions. Text posts are particularly significant, and natural language processing (NLP) has emerged as a powerful tool for analyzing such data. While traditional NLP methods have been effective for structured media, social media content poses unique challenges due to its informal and diverse nature. This has spurred the development of new techniques tailored for processing and extracting insights from unstructured user-generated text. One key application of NLP is the summarization of user comments to manage overwhelming content volumes. Abstractive summarization has proven highly effective in generating concise, human-like summaries, offering clear overviews of key themes and sentiments. This enhances understanding and engagement while reducing cognitive effort for users. For businesses, summarization provides actionable insights into customer preferences and feedback, enabling faster trend analysis, improved responsiveness, and strategic adaptability. By distilling complex data into manageable insights, summarization plays a vital role in improving user experiences and empowering informed decision-making in a data-driven landscape. This paper proposes a new implementation framework by fine-tuning and parameterizing Transformer Large Language Models to manage and maintain linguistic and semantic components in abstractive summary generation. The system excels in transforming large volumes of data into meaningful summaries, as evidenced by its strong performance across metrics like fluency, consistency, readability, and semantic coherence.展开更多
This study systematically analyzes the genre structure and linguistic features of 42 English abstracts from six internationally renowned medical journals,based on the revised CARS model proposed by Swales.The research...This study systematically analyzes the genre structure and linguistic features of 42 English abstracts from six internationally renowned medical journals,based on the revised CARS model proposed by Swales.The research findings indicate that medical abstracts typically follow a three-step structure:“Establishing a Research Territory-Establishing a Research Niche-Occupying the Niche”,where the steps“Research Purpose”and“Research Results”are the most frequently utilized,forming the core content of the abstracts.Within the sequence of moves,81%conform to conventional patterns,while a minority of samples exhibit unconventional structures such as inversion,cycling,and repetition.In terms of linguistic features,the present simple tense and active voice are predominantly used,reflecting the universality of the research and the author’s agency;conversely,the simple past tense and passive voice are primarily employed to describe research methods and processes.This study reveals the writing conventions of medical abstracts,providing empirical evidence and genre reference for non-native scholars in the preparation and publication of their work in international journals.展开更多
Knowledge graphs convey precise semantic information that can be effectively interpreted by neural networks,and generating descriptive text based on these graphs places significant emphasis on content consistency.Howe...Knowledge graphs convey precise semantic information that can be effectively interpreted by neural networks,and generating descriptive text based on these graphs places significant emphasis on content consistency.However,knowledge graphs are inadequate for providing additional linguistic features such as paragraph structure and expressive modes,making it challenging to ensure content coherence in generating text that spans multiple sentences.This lack of coherence can further compromise the overall consistency of the content within a paragraph.In this work,we present the generation of scientific abstracts by leveraging knowledge graphs,with a focus on enhancing both content consistency and coherence.In particular,we construct the ACL Abstract Graph Dataset(ACL-AGD)which pairs knowledge graphs with text,incorporating sentence labels to guide text structure and diverse expressions.We then implement a Siamese network to complement and concretize the entities and relations based on paragraph structure by accomplishing two tasks:graph-to-text generation and entity alignment.Extensive experiments demonstrate that the logical paragraphs generated by our method exhibit entities with a uniform position distribution and appropriate frequency.In terms of content,our method accurately represents the information encoded in the knowledge graph,prevents the generation of irrelevant content,and achieves coherent and non-redundant adjacent sentences,even with a shared knowledge graph.展开更多
English for Specific Academic Purposes(ESAP)focuses on English language skills in specific disciplines or research fields,and has played an important role in international communication in recent years.This paper aims...English for Specific Academic Purposes(ESAP)focuses on English language skills in specific disciplines or research fields,and has played an important role in international communication in recent years.This paper aims to explore the relationship between ESAP,the output of academic paper abstracts,and international communication effectiveness,so as to provide new ideas for enhancing international communication effectiveness.Through a questionnaire survey and combined with the structural equation model analysis method,the results show that the improvement of ESAP has a positive effect on the output of academic paper abstracts and international communication effectiveness;the output of academic paper abstracts can also positively enhance international communication effectiveness;meanwhile,the output of academic paper abstracts has a significant mediating effect.展开更多
Researchers around the world strive to communicate new knowledge,primarily via publication,with the abstract being crucial in conveying core insights.Previous research has generally analyzed the discourse features of ...Researchers around the world strive to communicate new knowledge,primarily via publication,with the abstract being crucial in conveying core insights.Previous research has generally analyzed the discourse features of abstracts from a macro perspective and often employed either outdated texts,such as those over a decade old,or papers written by authors with lower English academic writing proficiency as research material.In this study,we analyzed forty abstracts from leading journals in applied linguistics,evenly split between Chinese and international journals.It revealed that the use of nominalization in abstracts by Chinese and international scholars showed similarities due to the universal academic requirement for conciseness.However,due to cultural and educational differences,each group differed in their respective language choices and nominalization usage.By analyzing the application of nominalization in different cultural contexts,the results of our study offered practical suggestions for crafting abstracts that effectively convey information,thereby,contributing to the broader academic community.展开更多
Embodied cognition theories propose that language comprehension triggers a sensorimotor system in the brain.However,most previous research has paid much attention to concrete and factual sentences,and little emphasis ...Embodied cognition theories propose that language comprehension triggers a sensorimotor system in the brain.However,most previous research has paid much attention to concrete and factual sentences,and little emphasis has been put on the research of abstract and counterfactual sentences.The primary challenges for embodied theories lie in elucidating the meanings of abstract and counterfactual sentences.The most prevalent explanation is that abstract and counterfactual sentences are grounded in the activation of a sensorimotor system,in exactly the same way as concrete and factual ones.The present research employed a dual-task experimental paradigm to investigate whether the embodied meaning is activated in comprehending action-related abstract Chinese counterfactual sentences through the presence or absence of action-sentence compatibility effect(ACE).Participants were instructed to read and listen to the action-related abstract Chinese factual or counterfactual sentences describing an abstract transfer word towards or away from them,and then move their fingers towards or away from them to press the buttons in the same direction as the motion cue of the transfer verb.The action-sentence compatibility effect was observed in both abstract factual and counterfactual sentences,in line with the embodied cognition theories,which indicated that the embodied meanings were activated in both action-related abstract factuals and counterfactuals.展开更多
The rhetorical structure of abstracts has been a widely discussed topic, as it can greatly enhance the abstract writing skills of second-language writers. This study aims to provide guidance on the syntactic features ...The rhetorical structure of abstracts has been a widely discussed topic, as it can greatly enhance the abstract writing skills of second-language writers. This study aims to provide guidance on the syntactic features that L2 learners can employ, as well as suggest which features they should focus on in English academic writing. To achieve this, all samples were analyzed for rhetorical moves using Hyland’s five-rhetorical move model. Additionally, all sentences were evaluated for syntactic complexity, considering measures such as global, clausal and phrasal complexity. The findings reveal that expert writers exhibit a more balanced use of syntactic complexity across moves, effectively fulfilling the rhetorical objectives of abstracts. On the other hand, MA students tend to rely excessively on embedded structures and dependent clauses in an attempt to increase complexity. The implications of these findings for academic writing research, pedagogy, and assessment are thoroughly discussed.展开更多
任务的目的是识别对话中的关键信息并生成一段简短的文本.由于对话具有非正式化和动态交互性质,导致对话文本信息稀疏、关键信息分散.然而,现有模型未能实现对对话中主题特征信息的有效挖掘,缺乏对核心话语的识别,忽略了附加特征融合过...任务的目的是识别对话中的关键信息并生成一段简短的文本.由于对话具有非正式化和动态交互性质,导致对话文本信息稀疏、关键信息分散.然而,现有模型未能实现对对话中主题特征信息的有效挖掘,缺乏对核心话语的识别,忽略了附加特征融合过程中的噪声问题.针对上述问题,本文提出一种结合主题挖掘与话语中心性的对话摘要模型DS-TMUC(Dialogue Summarization model combining Topic Mining and Utterance Centrality).首先,提出一种主题特征提取模块,该模块引入嵌入式主题模型来有效地挖掘对话中可解释的潜在主题信息,为抽象对话摘要过程提供更丰富的语义信息.其次,提出一种特征动态融合模块,设计特征感知网络为融合特征去除噪声以增强特征的表征能力,利用多头注意力捕捉特征之间的语义关联性,并且使用门控机制进行过滤融合,从而增强特征之间的有效融合.再次,提出一种话语赋权模块,设计无监督聚类方法计算话语中心性权重为话语赋权,通过引导模型选择核心话语,进而提高模型对对话上下文建模的有效性.在SAMSum和DialogSum数据集上的实验结果表明,DS-TMUC模型的总体性能优于对比模型.展开更多
文摘TENORM Regulation in the United States of America post-West Virginia vs.EPA Spenser Lynn,Charles Wilson,Emily Caffrey1(1.University of Alabama at Birmingham,School of Health Professions,Clinical and Diagnostic Sciences,Health Physics Program,1720 University Blvd,Birmingham,AL 35294)Abstract:The regulation of technologically enhanced naturally occurring radioactive materials(TENORM)in the United States of America consists of fragmentary rules split between the federal and state governments.
文摘Effects of High Temperature and High Humidity on the Degree of Ocular Damage Caused by 60 GHz Millimeter Wave Exposure Masami Kojima1,2,Takafumi Tasaki3,4,Toshio Kamijo5,Aki Hada5,Yukihisa Suzuki5,Masateru Ikehata6,Hiroshi Sasaki1,2(1.Division of Vision Research for Environmental Health,Medical Research Institute,Kanazawa Medical University,Kahoku,Japan;2.Department of Ophthalmology,Kanazawa Medical University,Kahoku,Japan;3.Division of Protein Regulation Research,Medical Research Institute;4.Department of Medical Zoology,Kanazawa Medical University,Kahoku,Japan;5.Department of Electrical Engineering and Computer Science,Graduate School of Systems Design,Tokyo Metropolitan University,Tokyo,Japan;6.Comfort Science and Engineering Laboratory,Human Science Division,Railway Technical Research Institute,Tokyo,Japan)Abstract:Millimeter waves(MMW)are pervasive in society;however,studies on the biological effects of MMWexposure are usually performed in laboratory settings not reflecting global environmental diversity.We investigated the effects of a 6 min exposure to 60 GHz MMW(wavelength,5.0 mm)at incident power densities of 200 and 300 mW cm-2 in eyes(exposed right eyes vs.unexposed left eyes)under various ambient temperature/relative humidity environments(24℃/50%,45℃/20%,and 45℃/80%)using an in vivo rabbit model.Correlations were examined with adverse ocular events,including corneal epithelial damage(assessed using fluorescein staining),corneal opacity(evaluated by slit-lamp microscopy)。
文摘Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant advantages of GAs,including improved clarity,increased reader engagement,and enhanced visibility of research findings.By transforming intricate scientific data into accessible visual formats,these abstracts facilitate quick and effective knowledge transfer,crucial in clinical decision-making and patient care.However,challenges such as potential data misrepresentation due to oversimplification,the skill gap in graphic design among researchers,and the lack of standardized creation guidelines pose barriers to their widespread adoption.Additionally,while software such as Adobe Illustrator,BioRender,and Canva are commonly employed to create these visuals,not all researchers may be proficient in their use.To address these issues,we recommend that academic journals establish clear guidelines and provide necessary design training to researchers.This proactive approach will ensure the creation of high-quality GAs,promote their standardization,and expand their use in clinical reporting,ultimately benefiting the medical community and improving healthcare outcomes.
文摘The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and insights, influencing daily habits, and driving business, political, and economic decisions. Text posts are particularly significant, and natural language processing (NLP) has emerged as a powerful tool for analyzing such data. While traditional NLP methods have been effective for structured media, social media content poses unique challenges due to its informal and diverse nature. This has spurred the development of new techniques tailored for processing and extracting insights from unstructured user-generated text. One key application of NLP is the summarization of user comments to manage overwhelming content volumes. Abstractive summarization has proven highly effective in generating concise, human-like summaries, offering clear overviews of key themes and sentiments. This enhances understanding and engagement while reducing cognitive effort for users. For businesses, summarization provides actionable insights into customer preferences and feedback, enabling faster trend analysis, improved responsiveness, and strategic adaptability. By distilling complex data into manageable insights, summarization plays a vital role in improving user experiences and empowering informed decision-making in a data-driven landscape. This paper proposes a new implementation framework by fine-tuning and parameterizing Transformer Large Language Models to manage and maintain linguistic and semantic components in abstractive summary generation. The system excels in transforming large volumes of data into meaningful summaries, as evidenced by its strong performance across metrics like fluency, consistency, readability, and semantic coherence.
文摘This study systematically analyzes the genre structure and linguistic features of 42 English abstracts from six internationally renowned medical journals,based on the revised CARS model proposed by Swales.The research findings indicate that medical abstracts typically follow a three-step structure:“Establishing a Research Territory-Establishing a Research Niche-Occupying the Niche”,where the steps“Research Purpose”and“Research Results”are the most frequently utilized,forming the core content of the abstracts.Within the sequence of moves,81%conform to conventional patterns,while a minority of samples exhibit unconventional structures such as inversion,cycling,and repetition.In terms of linguistic features,the present simple tense and active voice are predominantly used,reflecting the universality of the research and the author’s agency;conversely,the simple past tense and passive voice are primarily employed to describe research methods and processes.This study reveals the writing conventions of medical abstracts,providing empirical evidence and genre reference for non-native scholars in the preparation and publication of their work in international journals.
文摘Knowledge graphs convey precise semantic information that can be effectively interpreted by neural networks,and generating descriptive text based on these graphs places significant emphasis on content consistency.However,knowledge graphs are inadequate for providing additional linguistic features such as paragraph structure and expressive modes,making it challenging to ensure content coherence in generating text that spans multiple sentences.This lack of coherence can further compromise the overall consistency of the content within a paragraph.In this work,we present the generation of scientific abstracts by leveraging knowledge graphs,with a focus on enhancing both content consistency and coherence.In particular,we construct the ACL Abstract Graph Dataset(ACL-AGD)which pairs knowledge graphs with text,incorporating sentence labels to guide text structure and diverse expressions.We then implement a Siamese network to complement and concretize the entities and relations based on paragraph structure by accomplishing two tasks:graph-to-text generation and entity alignment.Extensive experiments demonstrate that the logical paragraphs generated by our method exhibit entities with a uniform position distribution and appropriate frequency.In terms of content,our method accurately represents the information encoded in the knowledge graph,prevents the generation of irrelevant content,and achieves coherent and non-redundant adjacent sentences,even with a shared knowledge graph.
基金This paper is part of the research results of the National Social Science Fund Project(Project No.:21XYY015)Hainan Provincial Education Reform Project(Project No.:Hnjg2023-136)。
文摘English for Specific Academic Purposes(ESAP)focuses on English language skills in specific disciplines or research fields,and has played an important role in international communication in recent years.This paper aims to explore the relationship between ESAP,the output of academic paper abstracts,and international communication effectiveness,so as to provide new ideas for enhancing international communication effectiveness.Through a questionnaire survey and combined with the structural equation model analysis method,the results show that the improvement of ESAP has a positive effect on the output of academic paper abstracts and international communication effectiveness;the output of academic paper abstracts can also positively enhance international communication effectiveness;meanwhile,the output of academic paper abstracts has a significant mediating effect.
文摘Researchers around the world strive to communicate new knowledge,primarily via publication,with the abstract being crucial in conveying core insights.Previous research has generally analyzed the discourse features of abstracts from a macro perspective and often employed either outdated texts,such as those over a decade old,or papers written by authors with lower English academic writing proficiency as research material.In this study,we analyzed forty abstracts from leading journals in applied linguistics,evenly split between Chinese and international journals.It revealed that the use of nominalization in abstracts by Chinese and international scholars showed similarities due to the universal academic requirement for conciseness.However,due to cultural and educational differences,each group differed in their respective language choices and nominalization usage.By analyzing the application of nominalization in different cultural contexts,the results of our study offered practical suggestions for crafting abstracts that effectively convey information,thereby,contributing to the broader academic community.
文摘Embodied cognition theories propose that language comprehension triggers a sensorimotor system in the brain.However,most previous research has paid much attention to concrete and factual sentences,and little emphasis has been put on the research of abstract and counterfactual sentences.The primary challenges for embodied theories lie in elucidating the meanings of abstract and counterfactual sentences.The most prevalent explanation is that abstract and counterfactual sentences are grounded in the activation of a sensorimotor system,in exactly the same way as concrete and factual ones.The present research employed a dual-task experimental paradigm to investigate whether the embodied meaning is activated in comprehending action-related abstract Chinese counterfactual sentences through the presence or absence of action-sentence compatibility effect(ACE).Participants were instructed to read and listen to the action-related abstract Chinese factual or counterfactual sentences describing an abstract transfer word towards or away from them,and then move their fingers towards or away from them to press the buttons in the same direction as the motion cue of the transfer verb.The action-sentence compatibility effect was observed in both abstract factual and counterfactual sentences,in line with the embodied cognition theories,which indicated that the embodied meanings were activated in both action-related abstract factuals and counterfactuals.
文摘The rhetorical structure of abstracts has been a widely discussed topic, as it can greatly enhance the abstract writing skills of second-language writers. This study aims to provide guidance on the syntactic features that L2 learners can employ, as well as suggest which features they should focus on in English academic writing. To achieve this, all samples were analyzed for rhetorical moves using Hyland’s five-rhetorical move model. Additionally, all sentences were evaluated for syntactic complexity, considering measures such as global, clausal and phrasal complexity. The findings reveal that expert writers exhibit a more balanced use of syntactic complexity across moves, effectively fulfilling the rhetorical objectives of abstracts. On the other hand, MA students tend to rely excessively on embedded structures and dependent clauses in an attempt to increase complexity. The implications of these findings for academic writing research, pedagogy, and assessment are thoroughly discussed.
文摘任务的目的是识别对话中的关键信息并生成一段简短的文本.由于对话具有非正式化和动态交互性质,导致对话文本信息稀疏、关键信息分散.然而,现有模型未能实现对对话中主题特征信息的有效挖掘,缺乏对核心话语的识别,忽略了附加特征融合过程中的噪声问题.针对上述问题,本文提出一种结合主题挖掘与话语中心性的对话摘要模型DS-TMUC(Dialogue Summarization model combining Topic Mining and Utterance Centrality).首先,提出一种主题特征提取模块,该模块引入嵌入式主题模型来有效地挖掘对话中可解释的潜在主题信息,为抽象对话摘要过程提供更丰富的语义信息.其次,提出一种特征动态融合模块,设计特征感知网络为融合特征去除噪声以增强特征的表征能力,利用多头注意力捕捉特征之间的语义关联性,并且使用门控机制进行过滤融合,从而增强特征之间的有效融合.再次,提出一种话语赋权模块,设计无监督聚类方法计算话语中心性权重为话语赋权,通过引导模型选择核心话语,进而提高模型对对话上下文建模的有效性.在SAMSum和DialogSum数据集上的实验结果表明,DS-TMUC模型的总体性能优于对比模型.
