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
Pentachlorophenol, a widespread environmental pollutant that is possibly carcinogenic to humans, is metabolically oxidized to tetrachloroquinone （TCBQ） which can result in DNA damage. We have investigated the photoc...Pentachlorophenol, a widespread environmental pollutant that is possibly carcinogenic to humans, is metabolically oxidized to tetrachloroquinone （TCBQ） which can result in DNA damage. We have investigated the photochemical reaction dynamics of TCBQ with two pyrimidine type nucleobases （thymine and uracil） upon UVA （355 ran） excitation using the technique of nanosecond time-resolved laser flash photolysis. It has been found that 355 nm excitation populates TCBQ molecules to their triplet state 3TCBQ＊, which are highly reactive towards thymine or uracil and undergo two parallel reactions, the hydrogen abstraction and electron transfer, leading to the observed photoproducts of TCBQH. and TCBQ.- in transient absorption spectra. The concomitantly produced nucleobase radicals and radical cations are expected to induce a series of oxidative or strand cleavage damage to DNA afterwards. By characterizing the photochemical hydrogen abstraction and electron transfer reactions, our results provide potentially important molecular reaction mechanisms for understanding the carcinogenic effects of pentachlorophenol and its metabolites TCBQ.展开更多
presented The conceptions of abstract default reasoning frameworks （ADRFs） and D-consequence relations are Based on representation properties of D-consequence relations, it proves that any cumulative nonmonotonic co...presented The conceptions of abstract default reasoning frameworks （ADRFs） and D-consequence relations are Based on representation properties of D-consequence relations, it proves that any cumulative nonmonotonic consequence relation with the connective-free form can be represented by ADRFs.展开更多
Image is an important and creative way to express poets＂ feelings in both Chinese and English poetry. There are concrete representations and abstract concept in image. They are two key notions in Poetics and Aestheti...Image is an important and creative way to express poets＂ feelings in both Chinese and English poetry. There are concrete representations and abstract concept in image. They are two key notions in Poetics and Aesthetics. This paper is to show the different versions of ＂tress＂ in poems and to explore the exact nature of concepts of sensitive affection in English and Chinese, so as to appreciate the artistic beauty of images.展开更多
Purpose:Mo ve recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language units.To improve the performance of move recognition in scientific abstracts,...Purpose:Mo ve recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language units.To improve the performance of move recognition in scientific abstracts,a novel model of move recognition is proposed that outperforms the BERT-based method.Design/methodology/approach:Prevalent models based on BERT for sentence classification often classify sentences without considering the context of the sentences.In this paper,inspired by the BERT masked language model(MLM),we propose a novel model called the masked sentence model that integrates the content and contextual information of the sentences in move recognition.Experiments are conducted on the benchmark dataset PubMed 20K RCT in three steps.Then,we compare our model with HSLN-RNN,BERT-based and SciBERT using the same dataset.Findings:Compared with the BERT-based and SciBERT models,the F1 score of our model outperforms them by 4.96%and 4.34%,respectively,which shows the feasibility and effectiveness of the novel model and the result of our model comes closest to the state-of-theart results of HSLN-RNN at present.Research limitations:The sequential features of move labels are not considered,which might be one of the reasons why HSLN-RNN has better performance.Our model is restricted to dealing with biomedical English literature because we use a dataset from PubMed,which is a typical biomedical database,to fine-tune our model.Practical implications:The proposed model is better and simpler in identifying move structures in scientific abstracts and is worthy of text classification experiments for capturing contextual features of sentences.Originality/value:T he study proposes a masked sentence model based on BERT that considers the contextual features of the sentences in abstracts in a new way.The performance of this classification model is significantly improved by rebuilding the input layer without changing the structure of neural networks.展开更多
Purpose:Automatic keyphrase extraction(AKE)is an important task for grasping the main points of the text.In this paper,we aim to combine the benefits of sequence labeling formulation and pretrained language model to p...Purpose:Automatic keyphrase extraction(AKE)is an important task for grasping the main points of the text.In this paper,we aim to combine the benefits of sequence labeling formulation and pretrained language model to propose an automatic keyphrase extraction model for Chinese scientific research.Design/methodology/approach:We regard AKE from Chinese text as a character-level sequence labeling task to avoid segmentation errors of Chinese tokenizer and initialize our model with pretrained language model BERT,which was released by Google in 2018.We collect data from Chinese Science Citation Database and construct a large-scale dataset from medical domain,which contains 100,000 abstracts as training set,6,000 abstracts as development set and 3,094 abstracts as test set.We use unsupervised keyphrase extraction methods including term frequency(TF),TF-IDF,TextRank and supervised machine learning methods including Conditional Random Field(CRF),Bidirectional Long Short Term Memory Network(BiLSTM),and BiLSTM-CRF as baselines.Experiments are designed to compare word-level and character-level sequence labeling approaches on supervised machine learning models and BERT-based models.Findings:Compared with character-level BiLSTM-CRF,the best baseline model with F1 score of 50.16%,our character-level sequence labeling model based on BERT obtains F1 score of 59.80%,getting 9.64%absolute improvement.Research limitations:We just consider automatic keyphrase extraction task rather than keyphrase generation task,so only keyphrases that are occurred in the given text can be extracted.In addition,our proposed dataset is not suitable for dealing with nested keyphrases.Practical implications:We make our character-level IOB format dataset of Chinese Automatic Keyphrase Extraction from scientific Chinese medical abstracts(CAKE)publicly available for the benefits of research community,which is available at:https://github.com/possible1402/Dataset-For-Chinese-Medical-Keyphrase-Extraction.Originality/value:By designing comparative experiments,our study demonstrates that character-level formulation is more suitable for Chinese automatic keyphrase extraction task under the general trend of pretrained language models.And our proposed dataset provides a unified method for model evaluation and can promote the development of Chinese automatic keyphrase extraction to some extent.展开更多
The Chinese Optics and Applied Optics Abstracts , sponsored by the Documentation andInformation Center of the Chinese Academy of Sciences, the Optical Information Networkof the Chinese Academy of Sciences and the Chan...The Chinese Optics and Applied Optics Abstracts , sponsored by the Documentation andInformation Center of the Chinese Academy of Sciences, the Optical Information Networkof the Chinese Academy of Sciences and the Changchun Institute of Optics, Fine Mechanicsand Physics of the Chinese Academy of Sciences, is one of the series of science andtechnology indexing periodicals published by the Chinese Academy of Sciences.The Chinese Optics and Applied Optics Abstracts started a quarterly publication in 1985,with the name of Chinese Science and Technology Document Catalogues: Optics andApplied Optics. It changed into a bimonthly publication with the name of Chinese Opticsand Applied Optics Abstracts in 1987. In combination with the Chinese Optics Documen-展开更多
Prognosis of residual coal gas capacity made by the ＇Express＇ method Pavel Prokop, Pavel Zapletal, and Ivo Pegrimek Abstract An easy, reliable, and inexpensive method, called ＇Express＇ method, was described to det...Prognosis of residual coal gas capacity made by the ＇Express＇ method Pavel Prokop, Pavel Zapletal, and Ivo Pegrimek Abstract An easy, reliable, and inexpensive method, called ＇Express＇ method, was described to determine the residual gas capacity of deep mines using results from an air and gas balance. Air and gas balances are common elements of mine management and must be performed periodically. Using the process described here to obtain balance results,展开更多
The excited-state intramolecular hydrogen abstraction reactions of butanal have been investigated using the CAS-MP2/6-311＋G^＊//CASSCF/6-31G^＊ methods. Calculated results show that the hydrogen transfer induced fluo...The excited-state intramolecular hydrogen abstraction reactions of butanal have been investigated using the CAS-MP2/6-311＋G^＊//CASSCF/6-31G^＊ methods. Calculated results show that the hydrogen transfer induced fluorescence quenching of the n,π^＊-excited state of covalent butanal with three paths： （1） The first path corresponds to direct S0-react reconstitution, which involves the first S1 decay by partial hydrogen atom transfer. （2） The second stepwise mechanism can be viewed as a full hydrogen atom transfer followed by a partial hydrogen atom back transfer, electron transfer （near S1/S0 or S0-TS） and finally a proton transfer to S0-react. （3） On the triplet surface, the surface crossing to the singlet state would be clearly much efficient at the T1/S0 region due to the large SOC value of 8.3 cm^-1. The S0-react decay route from T1/S0 was studied with an intrinsic reaction coordinate （IRC） calculation at the CASSCF level, resulting in the S0-React minimum.展开更多
In memoriam Bioch.Jorge Nelson Valz-Gianinet October 26-27,2017 Tafídel Valle,Tucumán,Argentina The abstracts have been revised and evaluated by the Scientific Committee of the Tucumán Biology Associati...In memoriam Bioch.Jorge Nelson Valz-Gianinet October 26-27,2017 Tafídel Valle,Tucumán,Argentina The abstracts have been revised and evaluated by the Scientific Committee of the Tucumán Biology Association Shortly before the beginning of the 34th Scientific Meeting,Biochemist Jorge Nelson Valz-Gianinet,a member of the Board of Directors of the Tucumán Biology Association,died in this city.展开更多
Crystallization behavior of F-free mold fluxes ZHANG Zuotai,WEN Guanghua,and ZHANG Yingyi Abstract The time-temperature-transformation(TTT) diagrams of F-free mold fluxes were constructed using single hot thermocouple...Crystallization behavior of F-free mold fluxes ZHANG Zuotai,WEN Guanghua,and ZHANG Yingyi Abstract The time-temperature-transformation(TTT) diagrams of F-free mold fluxes were constructed using single hot thermocouple technique(SHTT) and confocal scanning laser展开更多
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.
基金This work was supported by the National Natural Science Foundation of China （No.20903104, No.2107320L and No.20733005） and the Chinese Academy of Sciences.
文摘Pentachlorophenol, a widespread environmental pollutant that is possibly carcinogenic to humans, is metabolically oxidized to tetrachloroquinone （TCBQ） which can result in DNA damage. We have investigated the photochemical reaction dynamics of TCBQ with two pyrimidine type nucleobases （thymine and uracil） upon UVA （355 ran） excitation using the technique of nanosecond time-resolved laser flash photolysis. It has been found that 355 nm excitation populates TCBQ molecules to their triplet state 3TCBQ＊, which are highly reactive towards thymine or uracil and undergo two parallel reactions, the hydrogen abstraction and electron transfer, leading to the observed photoproducts of TCBQH. and TCBQ.- in transient absorption spectra. The concomitantly produced nucleobase radicals and radical cations are expected to induce a series of oxidative or strand cleavage damage to DNA afterwards. By characterizing the photochemical hydrogen abstraction and electron transfer reactions, our results provide potentially important molecular reaction mechanisms for understanding the carcinogenic effects of pentachlorophenol and its metabolites TCBQ.
文摘presented The conceptions of abstract default reasoning frameworks （ADRFs） and D-consequence relations are Based on representation properties of D-consequence relations, it proves that any cumulative nonmonotonic consequence relation with the connective-free form can be represented by ADRFs.
文摘Image is an important and creative way to express poets＂ feelings in both Chinese and English poetry. There are concrete representations and abstract concept in image. They are two key notions in Poetics and Aesthetics. This paper is to show the different versions of ＂tress＂ in poems and to explore the exact nature of concepts of sensitive affection in English and Chinese, so as to appreciate the artistic beauty of images.
基金supported by the project “The demonstration system of rich semantic search application in scientific literature” (Grant No. 1734) from the Chinese Academy of Sciences
文摘Purpose:Mo ve recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language units.To improve the performance of move recognition in scientific abstracts,a novel model of move recognition is proposed that outperforms the BERT-based method.Design/methodology/approach:Prevalent models based on BERT for sentence classification often classify sentences without considering the context of the sentences.In this paper,inspired by the BERT masked language model(MLM),we propose a novel model called the masked sentence model that integrates the content and contextual information of the sentences in move recognition.Experiments are conducted on the benchmark dataset PubMed 20K RCT in three steps.Then,we compare our model with HSLN-RNN,BERT-based and SciBERT using the same dataset.Findings:Compared with the BERT-based and SciBERT models,the F1 score of our model outperforms them by 4.96%and 4.34%,respectively,which shows the feasibility and effectiveness of the novel model and the result of our model comes closest to the state-of-theart results of HSLN-RNN at present.Research limitations:The sequential features of move labels are not considered,which might be one of the reasons why HSLN-RNN has better performance.Our model is restricted to dealing with biomedical English literature because we use a dataset from PubMed,which is a typical biomedical database,to fine-tune our model.Practical implications:The proposed model is better and simpler in identifying move structures in scientific abstracts and is worthy of text classification experiments for capturing contextual features of sentences.Originality/value:T he study proposes a masked sentence model based on BERT that considers the contextual features of the sentences in abstracts in a new way.The performance of this classification model is significantly improved by rebuilding the input layer without changing the structure of neural networks.
基金This work is supported by the project“Research on Methods and Technologies of Scientific Researcher Entity Linking and Subject Indexing”(Grant No.G190091)from the National Science Library,Chinese Academy of Sciencesthe project“Design and Research on a Next Generation of Open Knowledge Services System and Key Technologies”(2019XM55).
文摘Purpose:Automatic keyphrase extraction(AKE)is an important task for grasping the main points of the text.In this paper,we aim to combine the benefits of sequence labeling formulation and pretrained language model to propose an automatic keyphrase extraction model for Chinese scientific research.Design/methodology/approach:We regard AKE from Chinese text as a character-level sequence labeling task to avoid segmentation errors of Chinese tokenizer and initialize our model with pretrained language model BERT,which was released by Google in 2018.We collect data from Chinese Science Citation Database and construct a large-scale dataset from medical domain,which contains 100,000 abstracts as training set,6,000 abstracts as development set and 3,094 abstracts as test set.We use unsupervised keyphrase extraction methods including term frequency(TF),TF-IDF,TextRank and supervised machine learning methods including Conditional Random Field(CRF),Bidirectional Long Short Term Memory Network(BiLSTM),and BiLSTM-CRF as baselines.Experiments are designed to compare word-level and character-level sequence labeling approaches on supervised machine learning models and BERT-based models.Findings:Compared with character-level BiLSTM-CRF,the best baseline model with F1 score of 50.16%,our character-level sequence labeling model based on BERT obtains F1 score of 59.80%,getting 9.64%absolute improvement.Research limitations:We just consider automatic keyphrase extraction task rather than keyphrase generation task,so only keyphrases that are occurred in the given text can be extracted.In addition,our proposed dataset is not suitable for dealing with nested keyphrases.Practical implications:We make our character-level IOB format dataset of Chinese Automatic Keyphrase Extraction from scientific Chinese medical abstracts(CAKE)publicly available for the benefits of research community,which is available at:https://github.com/possible1402/Dataset-For-Chinese-Medical-Keyphrase-Extraction.Originality/value:By designing comparative experiments,our study demonstrates that character-level formulation is more suitable for Chinese automatic keyphrase extraction task under the general trend of pretrained language models.And our proposed dataset provides a unified method for model evaluation and can promote the development of Chinese automatic keyphrase extraction to some extent.
文摘The Chinese Optics and Applied Optics Abstracts , sponsored by the Documentation andInformation Center of the Chinese Academy of Sciences, the Optical Information Networkof the Chinese Academy of Sciences and the Changchun Institute of Optics, Fine Mechanicsand Physics of the Chinese Academy of Sciences, is one of the series of science andtechnology indexing periodicals published by the Chinese Academy of Sciences.The Chinese Optics and Applied Optics Abstracts started a quarterly publication in 1985,with the name of Chinese Science and Technology Document Catalogues: Optics andApplied Optics. It changed into a bimonthly publication with the name of Chinese Opticsand Applied Optics Abstracts in 1987. In combination with the Chinese Optics Documen-
文摘Prognosis of residual coal gas capacity made by the ＇Express＇ method Pavel Prokop, Pavel Zapletal, and Ivo Pegrimek Abstract An easy, reliable, and inexpensive method, called ＇Express＇ method, was described to determine the residual gas capacity of deep mines using results from an air and gas balance. Air and gas balances are common elements of mine management and must be performed periodically. Using the process described here to obtain balance results,
基金supported by ‘Qinglan’ Talent Engineering Funds and Key Subject of Inorganic Chemistry by Tianshui Normal University
文摘The excited-state intramolecular hydrogen abstraction reactions of butanal have been investigated using the CAS-MP2/6-311＋G^＊//CASSCF/6-31G^＊ methods. Calculated results show that the hydrogen transfer induced fluorescence quenching of the n,π^＊-excited state of covalent butanal with three paths： （1） The first path corresponds to direct S0-react reconstitution, which involves the first S1 decay by partial hydrogen atom transfer. （2） The second stepwise mechanism can be viewed as a full hydrogen atom transfer followed by a partial hydrogen atom back transfer, electron transfer （near S1/S0 or S0-TS） and finally a proton transfer to S0-react. （3） On the triplet surface, the surface crossing to the singlet state would be clearly much efficient at the T1/S0 region due to the large SOC value of 8.3 cm^-1. The S0-react decay route from T1/S0 was studied with an intrinsic reaction coordinate （IRC） calculation at the CASSCF level, resulting in the S0-React minimum.
文摘In memoriam Bioch.Jorge Nelson Valz-Gianinet October 26-27,2017 Tafídel Valle,Tucumán,Argentina The abstracts have been revised and evaluated by the Scientific Committee of the Tucumán Biology Association Shortly before the beginning of the 34th Scientific Meeting,Biochemist Jorge Nelson Valz-Gianinet,a member of the Board of Directors of the Tucumán Biology Association,died in this city.
文摘Crystallization behavior of F-free mold fluxes ZHANG Zuotai,WEN Guanghua,and ZHANG Yingyi Abstract The time-temperature-transformation(TTT) diagrams of F-free mold fluxes were constructed using single hot thermocouple technique(SHTT) and confocal scanning laser
