This paper presents a project aimed at developing a trilingual visual dictionary for aircraft maintenance professionals and students.The project addresses the growing demand for accurate communication and technical te...This paper presents a project aimed at developing a trilingual visual dictionary for aircraft maintenance professionals and students.The project addresses the growing demand for accurate communication and technical terminology in the aviation industry,particularly in Brazil and China.The study employs a corpus-driven approach,analyzing a large corpus of aircraft maintenance manuals to extract key technical terms and their collocates.Using specialized subcorpora and a comparative analysis,this paper demonstrates challenges and solutions into the identification of high-frequency keywords and explores their contextual use in aviation documentation,emphasizing the need for clear and accurate technical communication.By incorporating these findings into a trilingual visual dictionary,the project aims to enhance the understanding and usage of aviation terminology.展开更多
International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and ...International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and Materials.It is covered by EI Compendex,SCI Expanded,Chemical Abstract,etc.Manuscript preparation The following components are required for a complete manuscript:Title,Author(s),Author affiliation(s),Abstract,Keywords,Main text,Acknowledgements and References.展开更多
1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography,natural resources,environmental sciences,geographic inform...1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography,natural resources,environmental sciences,geographic information sciences,remote sensing and cartography.Manuscripts come from different parts of the world.2 Format and style Contributions should be typed on A4 paper using Times New Roman typeface in Word format,normally not exceeding 20,000 words.3 Abstract and keywords The text should be preceded by an abstract of 200-300 words,which should be followed by 3-7keywords on a separate line.展开更多
1 Preparation of manuscripts The manuscript should be prepared with a major word processing program and the file also submitted as a PDF(to clearly indicate all fonts).Please provide the author’s affiliation(address ...1 Preparation of manuscripts The manuscript should be prepared with a major word processing program and the file also submitted as a PDF(to clearly indicate all fonts).Please provide the author’s affiliation(address and email),an abstract of 150–300 words presenting the main arguments of the paper,4–8 keywords,high-resolution figures(with permissions),acknowledgments and references.“Documentation II:Author-Date References”in The Chicago Manual of Style and a back issue of the journal can be used as guides to prepare the manuscript.展开更多
The authors employed inappropriate search keywords and strategies in their published bibliometric papers within volume 29 of the World Journal of Gastroenterology.The comment highlights the identified issues,provides ...The authors employed inappropriate search keywords and strategies in their published bibliometric papers within volume 29 of the World Journal of Gastroenterology.The comment highlights the identified issues,provides evidence,and suggests improved study methodologies.Subsequent results with more appro-priate search strategies were presented to address the shortcomings.展开更多
The education and quality of life of children with intellectual disabilities(ID)have received increasing attention in China due to the evolving diagnostic standards and educational policies.This study analyzes researc...The education and quality of life of children with intellectual disabilities(ID)have received increasing attention in China due to the evolving diagnostic standards and educational policies.This study analyzes research trends on support for children with ID in China from 2004 to 2023.Using bibliometric analysis and keyword clustering methods,384 research papers published in the China National Knowledge Infrastructure(CNKI)database were examined.The results are as follows.First,research on support for children with ID in China has gradually increased since 2004,with a significant surge observed after 2016.Second,keyword analysis identified key research themes,including“social support,”“inclusive education,”“special schools,”“group work,”and“case studies.”Third,the research frontier analysis revealed that studies on ID support in China have primarily developed in three key domains:social support systems,family and community support,and school-based support.This paper aims to serve as a foundational reference for future research and policy development.展开更多
Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured ov...Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured overview of research trends,intellectual impact,and evolving themes in peripheral nerve regeneration.This study aimed to identify the most influential research articles on peripheral nerve regeneration;analyze keyword trends,thematic evolution,and co-word structures;assess the contributions of top authors,universities,and countries;and examine collaboration networks and research dynamics.Methods: A systematic bibliometric approach was employed using two search strategies.The first strategy involved searching within the title,abstract,and keyword fields,yielding 15 317 papers,whereas the second strategy was restricted to searching titles only,retrieving 3 531 papers.From these,the 100 most cited papers were selected for analysis.A thematic analysis was conducted using co-word clustering.The leading contributors were ranked according to the number of publications,citations,h-index,g-index,and m-index.Results: The bibliometric analysis provided several key insights.Keyword analysis using bi-and tri-gram techniques revealed the dominant research themes within the field.The top contributors,including authors,universities,and countries,were ranked based on their productivity and citation impact.Collaboration networks were mapped at the author,institutional,and country levels,highlighting key partnerships and global research interactions.Thematic analysis classified research into seven major domains: neural regeneration and repair;cellular and molecular biology;biomaterials and tissue engineering;experimental studies and statistical analyses;functional and therapeutic aspects;neuropathic pain and peripheral nerve disorders;and Schwann cell and cellular responses.Additionally,the ten most influential papers were reviewed in detail to understand their contributions to the field.Conclusion: This study provides a comprehensive and structured overview of peripheral nerve regeneration research.These findings offer valuable insights into the intellectual foundation of the field by identifying key contributors,research trends,and collaboration patterns.The results serve as a guide for future research,helping researchers to navigate the evolving landscape of peripheral nerve regeneration.展开更多
Data privacy leakage has always been a critical concern in cloud-based Internet of Things(IoT)systems.Dynamic Symmetric Searchable Encryption(DSSE)with forward and backward privacy aims to address this issue by enabli...Data privacy leakage has always been a critical concern in cloud-based Internet of Things(IoT)systems.Dynamic Symmetric Searchable Encryption(DSSE)with forward and backward privacy aims to address this issue by enabling updates and retrievals of ciphertext on untrusted cloud server while ensuring data privacy.However,previous research on DSSE mostly focused on single keyword search,which limits its practical application in cloud-based IoT systems.Recently,Patranabis(NDSS 2021)[1]proposed a groundbreaking DSSE scheme for conjunctive keyword search.However,this scheme fails to effectively handle deletion operations in certain circumstances,resulting in inaccurate query results.Additionally,the scheme introduces unnecessary search overhead.To overcome these problems,we present CKSE,an efficient conjunctive keyword DSSE scheme.Our scheme improves the oblivious shared computation protocol used in the scheme of Patranabis,thus enabling a more comprehensive deletion functionality.Furthermore,we introduce a state chain structure to reduce the search overhead.Through security analysis and experimental evaluation,we demonstrate that our CKSE achieves more comprehensive deletion functionality while maintaining comparable search performance and security,compared to the oblivious dynamic cross-tags protocol of Patranabis.The combination of comprehensive functionality,high efficiency,and security makes our CKSE an ideal choice for deployment in cloud-based IoT systems.展开更多
As mobile edge computing continues to develop,the demand for resource-intensive applications is steadily increasing,placing a significant strain on edge nodes.These nodes are normally subject to various constraints,fo...As mobile edge computing continues to develop,the demand for resource-intensive applications is steadily increasing,placing a significant strain on edge nodes.These nodes are normally subject to various constraints,for instance,limited processing capability,a few energy sources,and erratic availability being some of the common ones.Correspondingly,these problems require an effective task allocation algorithmto optimize the resources through continued high system performance and dependability in dynamic environments.This paper proposes an improved Particle Swarm Optimization technique,known as IPSO,for multi-objective optimization in edge computing to overcome these issues.To this end,the IPSO algorithm tries to make a trade-off between two important objectives,which are energy consumption minimization and task execution time reduction.Because of global optimal position mutation and dynamic adjustment to inertia weight,the proposed optimization algorithm can effectively distribute tasks among edge nodes.As a result,it reduces the execution time of tasks and energy consumption.In comparative assessments carried out by IPSO with benchmark methods such as Energy-aware Double-fitness Particle Swarm Optimization(EADPSO)and ICBA,IPSO provides better results than these algorithms.For the maximum task size,when compared with the benchmark methods,IPSO reduces the execution time by 17.1%and energy consumption by 31.58%.These results allow the conclusion that IPSO is an efficient and scalable technique for task allocation at the edge environment.It provides peak efficiency while handling scarce resources and variable workloads.展开更多
To save the local storage,users store the data on the cloud server who offers convenient internet services.To guarantee the data privacy,users encrypt the data before uploading them into the cloud server.Since encrypt...To save the local storage,users store the data on the cloud server who offers convenient internet services.To guarantee the data privacy,users encrypt the data before uploading them into the cloud server.Since encryption can reduce the data availability,public-key encryption with keyword search(PEKS)is developed to achieve the retrieval of the encrypted data without decrypting them.However,most PEKS schemes cannot resist quantum computing attack,because the corresponding hardness assumptions are some number theory problems that can be solved efficiently under quantum computers.Besides,the traditional PEKS schemes have an inherent security issue that they cannot resist inside keywords guessing attack(KGA).In this attack,a malicious server can guess the keywords encapsulated in the search token by computing the ciphertext of keywords exhaustively and performing the test between the token and the ciphertext of keywords.In the paper,we propose a lattice-based PEKS scheme that can resist quantum computing attacks.To resist inside KGA,this scheme adopts a lattice-based signature technique into the encryption of keywords to prevent the malicious server from forging a valid ciphertext.Finally,some simulation experiments are conducted to demonstrate the performance of the proposed scheme and some comparison results are further shown with respect to other searchable schemes.展开更多
In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of t...In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF＊IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model （IVSM）. A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved.展开更多
文摘This paper presents a project aimed at developing a trilingual visual dictionary for aircraft maintenance professionals and students.The project addresses the growing demand for accurate communication and technical terminology in the aviation industry,particularly in Brazil and China.The study employs a corpus-driven approach,analyzing a large corpus of aircraft maintenance manuals to extract key technical terms and their collocates.Using specialized subcorpora and a comparative analysis,this paper demonstrates challenges and solutions into the identification of high-frequency keywords and explores their contextual use in aviation documentation,emphasizing the need for clear and accurate technical communication.By incorporating these findings into a trilingual visual dictionary,the project aims to enhance the understanding and usage of aviation terminology.
文摘International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and Materials.It is covered by EI Compendex,SCI Expanded,Chemical Abstract,etc.Manuscript preparation The following components are required for a complete manuscript:Title,Author(s),Author affiliation(s),Abstract,Keywords,Main text,Acknowledgements and References.
文摘1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography,natural resources,environmental sciences,geographic information sciences,remote sensing and cartography.Manuscripts come from different parts of the world.2 Format and style Contributions should be typed on A4 paper using Times New Roman typeface in Word format,normally not exceeding 20,000 words.3 Abstract and keywords The text should be preceded by an abstract of 200-300 words,which should be followed by 3-7keywords on a separate line.
文摘1 Preparation of manuscripts The manuscript should be prepared with a major word processing program and the file also submitted as a PDF(to clearly indicate all fonts).Please provide the author’s affiliation(address and email),an abstract of 150–300 words presenting the main arguments of the paper,4–8 keywords,high-resolution figures(with permissions),acknowledgments and references.“Documentation II:Author-Date References”in The Chicago Manual of Style and a back issue of the journal can be used as guides to prepare the manuscript.
文摘The authors employed inappropriate search keywords and strategies in their published bibliometric papers within volume 29 of the World Journal of Gastroenterology.The comment highlights the identified issues,provides evidence,and suggests improved study methodologies.Subsequent results with more appro-priate search strategies were presented to address the shortcomings.
文摘The education and quality of life of children with intellectual disabilities(ID)have received increasing attention in China due to the evolving diagnostic standards and educational policies.This study analyzes research trends on support for children with ID in China from 2004 to 2023.Using bibliometric analysis and keyword clustering methods,384 research papers published in the China National Knowledge Infrastructure(CNKI)database were examined.The results are as follows.First,research on support for children with ID in China has gradually increased since 2004,with a significant surge observed after 2016.Second,keyword analysis identified key research themes,including“social support,”“inclusive education,”“special schools,”“group work,”and“case studies.”Third,the research frontier analysis revealed that studies on ID support in China have primarily developed in three key domains:social support systems,family and community support,and school-based support.This paper aims to serve as a foundational reference for future research and policy development.
文摘Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured overview of research trends,intellectual impact,and evolving themes in peripheral nerve regeneration.This study aimed to identify the most influential research articles on peripheral nerve regeneration;analyze keyword trends,thematic evolution,and co-word structures;assess the contributions of top authors,universities,and countries;and examine collaboration networks and research dynamics.Methods: A systematic bibliometric approach was employed using two search strategies.The first strategy involved searching within the title,abstract,and keyword fields,yielding 15 317 papers,whereas the second strategy was restricted to searching titles only,retrieving 3 531 papers.From these,the 100 most cited papers were selected for analysis.A thematic analysis was conducted using co-word clustering.The leading contributors were ranked according to the number of publications,citations,h-index,g-index,and m-index.Results: The bibliometric analysis provided several key insights.Keyword analysis using bi-and tri-gram techniques revealed the dominant research themes within the field.The top contributors,including authors,universities,and countries,were ranked based on their productivity and citation impact.Collaboration networks were mapped at the author,institutional,and country levels,highlighting key partnerships and global research interactions.Thematic analysis classified research into seven major domains: neural regeneration and repair;cellular and molecular biology;biomaterials and tissue engineering;experimental studies and statistical analyses;functional and therapeutic aspects;neuropathic pain and peripheral nerve disorders;and Schwann cell and cellular responses.Additionally,the ten most influential papers were reviewed in detail to understand their contributions to the field.Conclusion: This study provides a comprehensive and structured overview of peripheral nerve regeneration research.These findings offer valuable insights into the intellectual foundation of the field by identifying key contributors,research trends,and collaboration patterns.The results serve as a guide for future research,helping researchers to navigate the evolving landscape of peripheral nerve regeneration.
基金supported in part by the Major Science and Technology Projects in Yunnan Province(202202AD080013)King Khalid University for funding this work through Large Group Project under grant number RGP.2/373/45.
文摘Data privacy leakage has always been a critical concern in cloud-based Internet of Things(IoT)systems.Dynamic Symmetric Searchable Encryption(DSSE)with forward and backward privacy aims to address this issue by enabling updates and retrievals of ciphertext on untrusted cloud server while ensuring data privacy.However,previous research on DSSE mostly focused on single keyword search,which limits its practical application in cloud-based IoT systems.Recently,Patranabis(NDSS 2021)[1]proposed a groundbreaking DSSE scheme for conjunctive keyword search.However,this scheme fails to effectively handle deletion operations in certain circumstances,resulting in inaccurate query results.Additionally,the scheme introduces unnecessary search overhead.To overcome these problems,we present CKSE,an efficient conjunctive keyword DSSE scheme.Our scheme improves the oblivious shared computation protocol used in the scheme of Patranabis,thus enabling a more comprehensive deletion functionality.Furthermore,we introduce a state chain structure to reduce the search overhead.Through security analysis and experimental evaluation,we demonstrate that our CKSE achieves more comprehensive deletion functionality while maintaining comparable search performance and security,compared to the oblivious dynamic cross-tags protocol of Patranabis.The combination of comprehensive functionality,high efficiency,and security makes our CKSE an ideal choice for deployment in cloud-based IoT systems.
基金supported by the University Putra Malaysia and the Ministry of Higher Education Malaysia under grantNumber:(FRGS/1/2023/ICT11/UPM/02/3).
文摘As mobile edge computing continues to develop,the demand for resource-intensive applications is steadily increasing,placing a significant strain on edge nodes.These nodes are normally subject to various constraints,for instance,limited processing capability,a few energy sources,and erratic availability being some of the common ones.Correspondingly,these problems require an effective task allocation algorithmto optimize the resources through continued high system performance and dependability in dynamic environments.This paper proposes an improved Particle Swarm Optimization technique,known as IPSO,for multi-objective optimization in edge computing to overcome these issues.To this end,the IPSO algorithm tries to make a trade-off between two important objectives,which are energy consumption minimization and task execution time reduction.Because of global optimal position mutation and dynamic adjustment to inertia weight,the proposed optimization algorithm can effectively distribute tasks among edge nodes.As a result,it reduces the execution time of tasks and energy consumption.In comparative assessments carried out by IPSO with benchmark methods such as Energy-aware Double-fitness Particle Swarm Optimization(EADPSO)and ICBA,IPSO provides better results than these algorithms.For the maximum task size,when compared with the benchmark methods,IPSO reduces the execution time by 17.1%and energy consumption by 31.58%.These results allow the conclusion that IPSO is an efficient and scalable technique for task allocation at the edge environment.It provides peak efficiency while handling scarce resources and variable workloads.
基金The authors would like to thank the support from Fundamental Research Funds for the Central Universities(No.30918012204)The authors also gratefully acknowledge the helpful comments and suggestions of other researchers,which has improved the presentation.
文摘To save the local storage,users store the data on the cloud server who offers convenient internet services.To guarantee the data privacy,users encrypt the data before uploading them into the cloud server.Since encryption can reduce the data availability,public-key encryption with keyword search(PEKS)is developed to achieve the retrieval of the encrypted data without decrypting them.However,most PEKS schemes cannot resist quantum computing attack,because the corresponding hardness assumptions are some number theory problems that can be solved efficiently under quantum computers.Besides,the traditional PEKS schemes have an inherent security issue that they cannot resist inside keywords guessing attack(KGA).In this attack,a malicious server can guess the keywords encapsulated in the search token by computing the ciphertext of keywords exhaustively and performing the test between the token and the ciphertext of keywords.In the paper,we propose a lattice-based PEKS scheme that can resist quantum computing attacks.To resist inside KGA,this scheme adopts a lattice-based signature technique into the encryption of keywords to prevent the malicious server from forging a valid ciphertext.Finally,some simulation experiments are conducted to demonstrate the performance of the proposed scheme and some comparison results are further shown with respect to other searchable schemes.
基金Project supported by the Science Foundation of Shanghai Municipal Commission of Science and Technology （Grant No.055115001）
文摘In this paper, an improved algorithm, web-based keyword weight algorithm （WKWA）, is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF＊IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model （IVSM）. A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved.
