Given a measure space with a ball-basis,we introduce a class of global log-Hölder continuity conditions for variable exponent functions,and we show that the Hardy-Littlewood maximal operator is bounded on weighte...Given a measure space with a ball-basis,we introduce a class of global log-Hölder continuity conditions for variable exponent functions,and we show that the Hardy-Littlewood maximal operator is bounded on weighted variable Lebesgue spaces if and only if the weights satisfy the variable Muckenhoupt condition.As an application,in virtue of extrapolation we establish the weighted norm inequalities for a class of bounded oscillation operators on these variable Lebesgue spaces.展开更多
Understanding the low-temperature chemistry of ammonia(NH3)and its interaction with hydrocarbon chemistry is a significant challenge in the kinetics of ammonia blended fuel combustion,especially with the growing in...Understanding the low-temperature chemistry of ammonia(NH3)and its interaction with hydrocarbon chemistry is a significant challenge in the kinetics of ammonia blended fuel combustion,especially with the growing interest in novel combustion concepts and the increasing use of NH3 as an energy carrier.Carbon-nitrogen(C—N)interactions play an important role in the combustion characteristic of NH3 blends with hydrocarbon fuels.In this work,the kinetics of two possible C—N interaction reactions,H-atom abstractions from NH3 and aminoxyl radical(CH3O2)by methylperoxy radical(CH3O2),is investigated.These reaction pathways show some sensitiv--ity to the low-temperature ignition of NH3/CH4.However,they have not been considered in any combustion kinetic models so far.Due to the intrinsic multi-reference nature of their transition states,the energy barriers for the two reactions are determined using the CASPT2/aug-cc-pVTZ method with the active space of(7e,7o),and CASPT2/cc-pVDZ method with the active space of(14e,12o),respectively,based on the optimized geometries and rovibrational properties obtained at M06-2X/6-311++G(d,p)level of theory.The rate constants for the two reactions in the temperature range 298.15—2000 K are calculated by using transition state theory.By incorporating these two reaction pathways with our calculated rate constants into a NH3/CH4 kinetic model,the predicted lowtemperature ignition delay times(IDT)of NH3/CH4 mixtures become noticeably shorter.展开更多
Abstract Expressionism, particularly its action painting branch, foregrounds the physical gesture, the energy of the artist’s movement, and the spontaneous interaction of paint. High-temperature color glazed ceramics...Abstract Expressionism, particularly its action painting branch, foregrounds the physical gesture, the energy of the artist’s movement, and the spontaneous interaction of paint. High-temperature color glazed ceramics, by contrast, rely on the unpredictable reaction of metallic oxides, fluxes, and kiln atmosphere to generate rich, flowing surfaces. This paper draws a parallel between the gestural immediacy of Abstract Expressionism and the fluid transformations of high-temperature glazes. By analyzing the work of contemporary ceramic artists who deliberately employ dripping, splashing, and layered pouring of glazes, the study demonstrates how the “controlled accident” of glaze flow can produce an aesthetic of energetic mark-making comparable to Pollock or de Kooning. The paper also explores how the kiln’s fire acts as a co-author, redefining the relationship between artist, material, and chance. The integration of action-painting principles into high-temperature glaze art expands ceramic practice beyond traditional decoration into the realm of expressive abstract art.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
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
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 temperatureelative 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
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
Manganese-oxidizing microbes are capable of oxidizing Mn(Ⅱ) to manganese oxides through direct enzymatic and indirect mechanisms.However,bacterial Mn(Ⅱ) oxidation in alkaline environment remains unclear.This study i...Manganese-oxidizing microbes are capable of oxidizing Mn(Ⅱ) to manganese oxides through direct enzymatic and indirect mechanisms.However,bacterial Mn(Ⅱ) oxidation in alkaline environment remains unclear.This study isolated an alkali-tolerant bacterium Pseudorhizobium flavum MXJ-1 from marine surface sediments that can oxidize Mn(Ⅱ) to biogenic manganese oxides(BioMnOx).Characterization of BioMnOx reveals that rod-shaped bacterial cells produce amorphous BioMnOx containing mixed valences of Mn.The effects of different pH,carbon and nitrogen sources,metal ions on growth and Mn(Ⅱ) oxidation activity of strain MXJ-1 were investigated.Results elucidate that strain MXJ-1 adapts to a broad range of pH from 5.0 to 10.0,achieves a maximum Mn(Ⅱ) oxidation percentage of 69.41 %,but there is no significant correlation between biomass and Mn(Ⅱ) oxidation.Cu(Ⅱ) inhibited Mn(Ⅱ) oxidation at concentration as low as 20 μmol/L,and Mn(Ⅱ) oxidation decreased with Mn(Ⅱ) levels increasing to 500 μmol/L.Genomic analysis identified two genes encoding animal heme peroxidases(AHPs) and three encoding dihydrolipoyl dehydrogenases(DLDHs),highlighting the potential role of superoxide in Mn(Ⅱ) oxidation.Several alkali-tolerance genes,including those encoding Na+/H+ antiporter,were also identified,which probably associated with alkali-tolerance of MXJ-1.Superoxide detection by nitro blue tetrazolium(NBT) assay indicates it involved in Mn(Ⅱ) oxidation.This study isolated a Mn(Ⅱ)-oxidizing,alkali-tolerant bacterium,expanding insights into microbial Mn(Ⅱ) oxidation in extreme environments.展开更多
The exponential growth of video content has driven significant advancements in video summarization techniques in recent years. Breakthroughs in deep learning have been particularly transformative, enabling more effect...The exponential growth of video content has driven significant advancements in video summarization techniques in recent years. Breakthroughs in deep learning have been particularly transformative, enabling more effective detection of key information and creating new possibilities for video synopsis. To summarize recent progress and accelerate research in this field,this paper provides a comprehensive review of deep learningbased video summarization methods developed over the past decade. We begin by examining the research landscape of video abstraction technologies and identifying core challenges in video summarization. Subsequently, we systematically analyze prevailing deep learning frameworks and methodologies employed in current video summarization systems, offering researchers a clear roadmap of the field's evolution. Unlike previous review works,we first classify research papers based on the structural hierarchy of the video(from frame-level to shot-level to video-level),then further categorize them according to the summary backbone model(feature extraction and spatiotemporal modeling).This approach provides a more systematic and hierarchical organization of the documents. Following this comprehensive review,we summarize the benchmark datasets and evaluation metrics commonly employed in the field. Finally, we analyze persistent challenges and propose insightful directions for future research,providing a forward-looking perspective on video summarization technologies. This systematic literature review is of great reference value to new researchers exploring the fields of deep learning and video summarization.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
In the context of modern software development characterized by increasing complexity and compressed development cycles,traditional static vulnerability detection methods face prominent challenges including high false ...In the context of modern software development characterized by increasing complexity and compressed development cycles,traditional static vulnerability detection methods face prominent challenges including high false positive rates and missed detections of complex logic due to their over-reliance on rule templates.This paper proposes a Syntax-Aware Hierarchical Attention Network(SAHAN)model,which achieves high-precision vulnerability detection through grammar-rule-driven multi-granularity code slicing and hierarchical semantic fusion mechanisms.The SAHAN model first generates Syntax Independent Units(SIUs),which slices the code based on Abstract Syntax Tree(AST)and predefined grammar rules,retaining vulnerability-sensitive contexts.Following this,through a hierarchical attention mechanism,the local syntax-aware layer encodes fine-grained patterns within SIUs,while the global semantic correlation layer captures vulnerability chains across SIUs,achieving synergistic modeling of syntax and semantics.Experiments show that on benchmark datasets like QEMU,SAHAN significantly improves detection performance by 4.8%to 13.1%on average compared to baseline models such as Devign and VulDeePecker.展开更多
基金supported by the NSFC(12461021)supported by the Qingnian project of science and technology research program of Chongqing Education Commission of China(KJQN202201232,KJQN202301224).
摘要Given a measure space with a ball-basis,we introduce a class of global log-Hölder continuity conditions for variable exponent functions,and we show that the Hardy-Littlewood maximal operator is bounded on weighted variable Lebesgue spaces if and only if the weights satisfy the variable Muckenhoupt condition.As an application,in virtue of extrapolation we establish the weighted norm inequalities for a class of bounded oscillation operators on these variable Lebesgue spaces.
摘要Understanding the low-temperature chemistry of ammonia(NH3)and its interaction with hydrocarbon chemistry is a significant challenge in the kinetics of ammonia blended fuel combustion,especially with the growing interest in novel combustion concepts and the increasing use of NH3 as an energy carrier.Carbon-nitrogen(C—N)interactions play an important role in the combustion characteristic of NH3 blends with hydrocarbon fuels.In this work,the kinetics of two possible C—N interaction reactions,H-atom abstractions from NH3 and aminoxyl radical(CH3O2)by methylperoxy radical(CH3O2),is investigated.These reaction pathways show some sensitiv--ity to the low-temperature ignition of NH3/CH4.However,they have not been considered in any combustion kinetic models so far.Due to the intrinsic multi-reference nature of their transition states,the energy barriers for the two reactions are determined using the CASPT2/aug-cc-pVTZ method with the active space of(7e,7o),and CASPT2/cc-pVDZ method with the active space of(14e,12o),respectively,based on the optimized geometries and rovibrational properties obtained at M06-2X/6-311++G(d,p)level of theory.The rate constants for the two reactions in the temperature range 298.15—2000 K are calculated by using transition state theory.By incorporating these two reaction pathways with our calculated rate constants into a NH3/CH4 kinetic model,the predicted lowtemperature ignition delay times(IDT)of NH3/CH4 mixtures become noticeably shorter.
摘要Abstract Expressionism, particularly its action painting branch, foregrounds the physical gesture, the energy of the artist’s movement, and the spontaneous interaction of paint. High-temperature color glazed ceramics, by contrast, rely on the unpredictable reaction of metallic oxides, fluxes, and kiln atmosphere to generate rich, flowing surfaces. This paper draws a parallel between the gestural immediacy of Abstract Expressionism and the fluid transformations of high-temperature glazes. By analyzing the work of contemporary ceramic artists who deliberately employ dripping, splashing, and layered pouring of glazes, the study demonstrates how the “controlled accident” of glaze flow can produce an aesthetic of energetic mark-making comparable to Pollock or de Kooning. The paper also explores how the kiln’s fire acts as a co-author, redefining the relationship between artist, material, and chance. The integration of action-painting principles into high-temperature glaze art expands ceramic practice beyond traditional decoration into the realm of expressive abstract art.
摘要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.
摘要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.
摘要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.
摘要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 temperatureelative 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)。
摘要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.
摘要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.
基金supported by the National Natural Science Foundation of China(No.42277107)Liaoning Province Natural Science Foundation Joint Funds(Ph.D.Scientific Research Program)(No.2023-BSBA-024/DUT24BS004)the Open Project of State Key Laboratory of Urban Water Resource and Environment,China,Harbin Institute of Technology(No.HC202330)。
摘要Manganese-oxidizing microbes are capable of oxidizing Mn(Ⅱ) to manganese oxides through direct enzymatic and indirect mechanisms.However,bacterial Mn(Ⅱ) oxidation in alkaline environment remains unclear.This study isolated an alkali-tolerant bacterium Pseudorhizobium flavum MXJ-1 from marine surface sediments that can oxidize Mn(Ⅱ) to biogenic manganese oxides(BioMnOx).Characterization of BioMnOx reveals that rod-shaped bacterial cells produce amorphous BioMnOx containing mixed valences of Mn.The effects of different pH,carbon and nitrogen sources,metal ions on growth and Mn(Ⅱ) oxidation activity of strain MXJ-1 were investigated.Results elucidate that strain MXJ-1 adapts to a broad range of pH from 5.0 to 10.0,achieves a maximum Mn(Ⅱ) oxidation percentage of 69.41 %,but there is no significant correlation between biomass and Mn(Ⅱ) oxidation.Cu(Ⅱ) inhibited Mn(Ⅱ) oxidation at concentration as low as 20 μmol/L,and Mn(Ⅱ) oxidation decreased with Mn(Ⅱ) levels increasing to 500 μmol/L.Genomic analysis identified two genes encoding animal heme peroxidases(AHPs) and three encoding dihydrolipoyl dehydrogenases(DLDHs),highlighting the potential role of superoxide in Mn(Ⅱ) oxidation.Several alkali-tolerance genes,including those encoding Na+/H+ antiporter,were also identified,which probably associated with alkali-tolerance of MXJ-1.Superoxide detection by nitro blue tetrazolium(NBT) assay indicates it involved in Mn(Ⅱ) oxidation.This study isolated a Mn(Ⅱ)-oxidizing,alkali-tolerant bacterium,expanding insights into microbial Mn(Ⅱ) oxidation in extreme environments.
基金supported by UKRI(EP/Z000025/1)Horizon Europe Programme under the MSCA grant for the ACMod project(101130271)。
摘要The exponential growth of video content has driven significant advancements in video summarization techniques in recent years. Breakthroughs in deep learning have been particularly transformative, enabling more effective detection of key information and creating new possibilities for video synopsis. To summarize recent progress and accelerate research in this field,this paper provides a comprehensive review of deep learningbased video summarization methods developed over the past decade. We begin by examining the research landscape of video abstraction technologies and identifying core challenges in video summarization. Subsequently, we systematically analyze prevailing deep learning frameworks and methodologies employed in current video summarization systems, offering researchers a clear roadmap of the field's evolution. Unlike previous review works,we first classify research papers based on the structural hierarchy of the video(from frame-level to shot-level to video-level),then further categorize them according to the summary backbone model(feature extraction and spatiotemporal modeling).This approach provides a more systematic and hierarchical organization of the documents. Following this comprehensive review,we summarize the benchmark datasets and evaluation metrics commonly employed in the field. Finally, we analyze persistent challenges and propose insightful directions for future research,providing a forward-looking perspective on video summarization technologies. This systematic literature review is of great reference value to new researchers exploring the fields of deep learning and video summarization.
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)。
摘要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supported by the research start-up funds for invited doctor of Lanzhou University of Technology under Grant 14/062402。
摘要In the context of modern software development characterized by increasing complexity and compressed development cycles,traditional static vulnerability detection methods face prominent challenges including high false positive rates and missed detections of complex logic due to their over-reliance on rule templates.This paper proposes a Syntax-Aware Hierarchical Attention Network(SAHAN)model,which achieves high-precision vulnerability detection through grammar-rule-driven multi-granularity code slicing and hierarchical semantic fusion mechanisms.The SAHAN model first generates Syntax Independent Units(SIUs),which slices the code based on Abstract Syntax Tree(AST)and predefined grammar rules,retaining vulnerability-sensitive contexts.Following this,through a hierarchical attention mechanism,the local syntax-aware layer encodes fine-grained patterns within SIUs,while the global semantic correlation layer captures vulnerability chains across SIUs,achieving synergistic modeling of syntax and semantics.Experiments show that on benchmark datasets like QEMU,SAHAN significantly improves detection performance by 4.8%to 13.1%on average compared to baseline models such as Devign and VulDeePecker.