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
诊断准确性研究摘要报告规范(Standards for Reporting of Diagnostic Accuracy for Abstracts,STARD for Abstracts)是用于规范期刊与学术会议论文摘要中诊断准确性研究的报告,BMJ 2017年8月发表了全文。本文主要介绍了STARD for Abstr...诊断准确性研究摘要报告规范(Standards for Reporting of Diagnostic Accuracy for Abstracts,STARD for Abstracts)是用于规范期刊与学术会议论文摘要中诊断准确性研究的报告,BMJ 2017年8月发表了全文。本文主要介绍了STARD for Abstracts规范的报告条目,并对其进行解读,期望为国内研究人员撰写和报告诊断准确性研究的摘要提供借鉴和参考。展开更多
The reactions of anionic zirconium oxide clusters ZrxOy- with C2H6 and C4H10 are investi-gated by a time of flight mass spectrometer coupled with a laser vaporization cluster source.Hydrogen containing products Zr2O5H...The reactions of anionic zirconium oxide clusters ZrxOy- with C2H6 and C4H10 are investi-gated by a time of flight mass spectrometer coupled with a laser vaporization cluster source.Hydrogen containing products Zr2O5H- and Zr3O7H- are observed after the reaction. Den-sity functional theory calculations indicate that the hydrogen abstraction is favorable in the reaction of Zr2O5- with C2H6, which supports that the observed Zr2O5H- and Zr3O7H- are due to hydrogen atom abstraction from the alkane molecules. This work shows a newpossible pathway in the reaction of zirconium oxide cluster anions with alkane molecules.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.
文摘诊断准确性研究摘要报告规范(Standards for Reporting of Diagnostic Accuracy for Abstracts,STARD for Abstracts)是用于规范期刊与学术会议论文摘要中诊断准确性研究的报告,BMJ 2017年8月发表了全文。本文主要介绍了STARD for Abstracts规范的报告条目,并对其进行解读,期望为国内研究人员撰写和报告诊断准确性研究的摘要提供借鉴和参考。
基金This work was supported by the Chinese Academy of Sciences （Hundred Talents Fund）, the National Natural Science Foundation of China （No.20703048 and No.20803083）, and the Center of Molecular Science Foundation of Institute of Chemistry, Chinese Academy of Sciences （No.CMS-LX200902）.
文摘The reactions of anionic zirconium oxide clusters ZrxOy- with C2H6 and C4H10 are investi-gated by a time of flight mass spectrometer coupled with a laser vaporization cluster source.Hydrogen containing products Zr2O5H- and Zr3O7H- are observed after the reaction. Den-sity functional theory calculations indicate that the hydrogen abstraction is favorable in the reaction of Zr2O5- with C2H6, which supports that the observed Zr2O5H- and Zr3O7H- are due to hydrogen atom abstraction from the alkane molecules. This work shows a newpossible pathway in the reaction of zirconium oxide cluster anions with alkane molecules.
