This paper describes the Papers in Chinese Seismological Journal (CSJP) database (English edition) comprehensively, including the retrieval system of the database, the database features, the documental indexing,and th...This paper describes the Papers in Chinese Seismological Journal (CSJP) database (English edition) comprehensively, including the retrieval system of the database, the database features, the documental indexing,and the documental record format etc. It gives the block diagram of the retrieval system and the flow chart ofthe documental processing.展开更多
Objectives: To analyze the documental quality of 389 websites in Portuguese about physical activity, healthy lifestyles and sedentary lifestyles found on the Brazilian version of the general search engine Google. Meth...Objectives: To analyze the documental quality of 389 websites in Portuguese about physical activity, healthy lifestyles and sedentary lifestyles found on the Brazilian version of the general search engine Google. Methods: The documental quality of the 389 websites was estimated based upon the following parameters: 1) a combination of quality criteria from the Health Information Locator (LIS—OPS/BIREME) and those from Chile’s Pontifical Catholic University, organized into 17 variables;2) uniformity of reference criteria (Vancouver);3) association between the presence of authorship and a higher number of the quality criteria being fulfilled. We also studied the ranking of the results presented by Google in addition to attributes connected to the websites’ target audience, the types of content, their sponsors and country of origin. Results: Of the 389 websites studied, 111 links were not active (28.53% CI 95% [24.05 - 33.02]) and none of the websites in the sample met all of the 17 quality variables. Authored websites displayed remarkable differences in quality when compared to those which did not identify their authors. Conclusions: Faced with the issue of the proliferation of websites with questionable quality content, and the fact that the ranking of results interferes directly in the internal evaluation of content relevance, we propose that public-health research institutions cooperate with web-searching developers to improve the website-positioning formula, in which the “identified authorship” criterion should play a major role in the ranking system.展开更多
State Administration for Market Regulation and National Standardization Administration of China have approved the following 76 national standards as guiding technical docoments.
提单的所谓物权凭证性质在中国长期存在争议,其实质是大陆法系所称提单的物权效力,系指交付提单与交付货物具有相同效力,由此可以满足货物物权变动的生效或对抗要件。英美法系认为提单是一种document of title,而大陆法系主要法域普遍...提单的所谓物权凭证性质在中国长期存在争议,其实质是大陆法系所称提单的物权效力,系指交付提单与交付货物具有相同效力,由此可以满足货物物权变动的生效或对抗要件。英美法系认为提单是一种document of title,而大陆法系主要法域普遍均有提单物权效力的规定,长期以来形成了代表说、严格相对说、绝对说、物权效力否定说等较为稳定的学说。两大法系均认可提单代表货物的拟制占有或谓间接占有,提单的转让由此代表了货物占有的移转,但持有提单本身并不代表享有货物的所有权等物权。“提单代表货物”只是一种强调提单象征意义的简略表述。提单的物权效力在中国现行法下尚无明文规定,但具有作为习惯补充适用的空间,且《民法典》第598条也从买卖合同的角度提供了一定依据。提单交付对于货物所有权变动而言属于现实交付,而提单质押则应认定为权利质权。提单表征的货物拟制占有属于间接占有。提单电子化对物权效力的主要影响,应是如何对无形的电子提单认定占有。《海商法》修订应对提单的物权效力作出明确规定。展开更多
In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shippi...In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.展开更多
With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers ...With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers has become particularly urgent.Currently,detection methods based on document structure and behavioral features encounter challenges in feature engineering,these methods not only have limited accuracy,but also consume large resources,and usually can only detect documents in specific formats,which lacks versatility and adaptability.To address such problems,this paper proposes a novel malicious document detection method-visualizing documents as GGE images(Grayscale,Grayscale matrix,Entropy).The GGE method visualizes the original byte sequence of the malicious document as a grayscale image,the information entropy sequence of the document as an entropy image,and at the same time,the grayscale level co-occurrence matrix and the texture and spatial information stored in it are converted into grayscale matrix image,and fuses the three types of images to get the GGE color image.The Convolutional Block Attention Module-EfficientNet-B0(CBAM-EfficientNet-B0)model is then used for classification,combining transfer learning and applying the pre-trained model on the ImageNet dataset to the feature extraction process of GGE images.As shown in the experimental results,the GGE method has superior performance compared with other methods,which is suitable for detecting malicious documents in different formats,and achieves an accuracy of 99.44%and 97.39%on Portable Document Format(PDF)and office datasets,respectively,and consumes less time during the detection process,which can be effectively applied to the task of detecting malicious documents in real-time.展开更多
Seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and counterfeiting.Stamped seal inspection is commonly audited...Seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and counterfeiting.Stamped seal inspection is commonly audited manually to ensure document authenticity.However,manual assessment of seal images is tedious and laborintensive due to human errors,inconsistent placement,and completeness of the seal.Traditional image recognition systems are inadequate enough to identify seal types accurately,necessitating a neural network-based method for seal image recognition.However,neural network-based classification algorithms,such as Residual Networks(ResNet)andVisualGeometryGroup with 16 layers(VGG16)yield suboptimal recognition rates on stamp datasets.Additionally,the fixed training data categories make handling new categories to be a challenging task.This paper proposes amulti-stage seal recognition algorithmbased on Siamese network to overcome these limitations.Firstly,the seal image is pre-processed by applying an image rotation correction module based on Histogram of Oriented Gradients(HOG).Secondly,the similarity between input seal image pairs is measured by utilizing a similarity comparison module based on the Siamese network.Finally,we compare the results with the pre-stored standard seal template images in the database to obtain the seal type.To evaluate the performance of the proposed method,we further create a new seal image dataset that contains two subsets with 210,000 valid labeled pairs in total.The proposed work has a practical significance in industries where automatic seal authentication is essential as in legal,financial,and governmental sectors,where automatic seal recognition can enhance document security and streamline validation processes.Furthermore,the experimental results show that the proposed multi-stage method for seal image recognition outperforms state-of-the-art methods on the two established datasets.展开更多
This video series is the first experimental psychology documentary made in China.It focuses on analyzing professional theories to raise people’s general understanding of basic psychology.By combining innovative audio...This video series is the first experimental psychology documentary made in China.It focuses on analyzing professional theories to raise people’s general understanding of basic psychology.By combining innovative audiovisual narrative with psychological experiments,it zooms in on real human nature through discussing social hotspots from the perspectives of social psychology,cognitive psychology,and personality psychology,in order to help people find answers for their current psychological difficulties.展开更多
BACKGROUND Operative reports(OP-Rs)are essential for communication among healthcare providers.They require accuracy and completeness to serve as a quality indicator of patient care.Objective assessment of primary tota...BACKGROUND Operative reports(OP-Rs)are essential for communication among healthcare providers.They require accuracy and completeness to serve as a quality indicator of patient care.Objective assessment of primary total knee replacement(TKR)OP-Rs has never been reported.Therefore,a standardized benchmark for assessment and factors affecting the completeness of TKR OP-Rs needs to be evaluated.AIM To evaluate the completeness rate of primary TKR OP-Rs in a teaching hospital and to assess the factors affecting completeness.METHODS A retrospective review of 58 consecutive primary TKR OP-Rs in a tertiary te-aching hospital were included in this study.We used document analysis to review the OP-Rs against a standardized list of six subsets of mandatory variables.The correlation between the percentage of completeness and the specific variables was determined.RESULTS After analyzing 58 cases,we found that the time to documentation was 1.5 hours.Out of the 52 mandatory variables,a median of 30 variables were documented yielding a completeness of 58%.Administrative,procedural,exposure,and im-plant variables were documented the most often,whereas clinical and process variables were most frequently left uncompleted.The documentation of the operative maneuver was variable.There was no association between the com-pleteness of the reports and the time to documentation,documenter level,com-plication rate,operative duration,or length of hospital stay.CONCLUSION Multiple variables were left undocumented on the unstructured primary TKR OP-Rs.The completeness percentage will likely improve after the implementation of a standardized structured OP-R.展开更多
This article explores the intersections of Buddhism,Daoism,and contemporary French literary practice in the study of the everyday(quotidien).Since the 1980s,French literature has increasingly shifted its focus from th...This article explores the intersections of Buddhism,Daoism,and contemporary French literary practice in the study of the everyday(quotidien).Since the 1980s,French literature has increasingly shifted its focus from the exotic to the mundane,engaging with theoretical frameworks developed by scholars such as Henri Lefebvre and Michel de Certeau.Drawing on Buddhist notions of emptiness and dependent arising,as well as Daoist principles of yin-yang interdependence,the article bridges Eastern and Western philosophies to demonstrate the everyday not as a static or trivial backdrop,but as a dynamic and transformative space.It further examines how representations of daily life in the works of Georges Perec and Jacques Roubaud employ the meticulous documentation of mundane details to uncover hidden patterns,rhythms,and structures of human experience.Through literary fieldwork,Perec and Roubaud challenge conventional perceptions of the everyday,unveiling its depth,complexity,and potential for reinvention.展开更多
What Are You Up To Today?Chief Director:Wu Zijuan Length:12 Episodes Producer:bilibili Broadcasting Platform:bilibili Produced by China’s YouTube-like video sharing platform bilibili,the film is a series of short doc...What Are You Up To Today?Chief Director:Wu Zijuan Length:12 Episodes Producer:bilibili Broadcasting Platform:bilibili Produced by China’s YouTube-like video sharing platform bilibili,the film is a series of short documentaries presenting people's daily life in different jobs.It follows 12 individuals in their respective jobs and trades that keep society functioning.By focusing on their daily lives,the documentary films capture the hustle and bustle of the days that make up a hopeful life.展开更多
In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence tech...In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence technology,it has become possible to use large text models to assist in generating nursing documents.This article explores the application of generative AI in nursing documentation.Research has shown that the application of generative AI in nursing documents demonstrates significant potential,but also faces challenges in terms of quality and implementation.In terms of efficiency,AI assisted document tools can significantly reduce the administrative burden on nurses by reallocating time to direct patient care.Studies have shown that they can reduce document time by 21-30%.However,there are variables in the quality of AI generated records,and the content is often described as'textbook style',lacking patient specific details and appropriate medical terminology.Successful implementation relies on a specialized framework that includes strong stakeholder engagement and adaptation to nursing specific workflows and regulatory standards.The conclusion points out that current AI systems are most suitable for assisting in drafting nursing documents,and clinical validation remains crucial for patient safety and document integrity.展开更多
With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simu...With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simultaneously,the profession demands stronger self-directed learning capabilities from practitioners.To address these issues,this study develops a“Five-in-One”self-directed learning model comprising five interrelated dimensions:goal orientation,instructional regulation,cognitive development,technological resources,and process monitoring.The application of this model has significantly improved course evaluation outcomes,enhanced faculty teaching and research capacity,strengthened students’practical and innovative skills,and expanded the course’s reach and social impact.The model thus provides both a theoretical framework and a practical pathway for the reform of similar applied courses.展开更多
This critical review looks at the assessment of the application of artificial intelligence in handling legal documents with specific reference to medical negligence cases with a view of identifying its transformative ...This critical review looks at the assessment of the application of artificial intelligence in handling legal documents with specific reference to medical negligence cases with a view of identifying its transformative potentialities, issues and ethical concerns. The review consolidates findings that show the impact of AI in improving the efficiency, accuracy and justice delivery in the legal profession. The studies show increased efficiency in speed of document review and enhancement of the accuracy of the reviewed documents, with time efficiency estimates of 60% reduction of time. However, the review also outlines some of the problems that continue to characterize AI, such as data quality problems, biased algorithms and the problem of the opaque decision-making system. This paper assesses ethical issues related to patient autonomy, justice and non-malignant suffering, with particular focus on patient privacy and fair process, and on potential unfairness to patients. This paper’s review of AI innovations finds that regulations lag behind AI developments, leading to unsettled issues regarding legal responsibility for AI and user control over AI-generated results and findings in legal proceedings. Some of the future avenues that are presented in the study are the future of XAI for legal purposes, utilizing federated learning for resolving privacy issues, and the need to foster adaptive regulation. Finally, the review advocates for Legal Subject Matter Experts to collaborate with legal informatics experts, ethicists, and policy makers to develop the best solutions to implement AI in medical negligence claims. It reasons that there is great potential for AI to have a deep impact on the practice of law but when done, it must do so in a way that respects justice and on the Rights of Individuals.展开更多
The rapid advancement of Large Language Models(LLMs)has enabled their application in diverse professional domains,including law.However,research on automatic judicial document generation remains limited,particularly f...The rapid advancement of Large Language Models(LLMs)has enabled their application in diverse professional domains,including law.However,research on automatic judicial document generation remains limited,particularly for taiwan region of China courts.This study proposes a keyword-guided training framework that enhances LLMs’ability to generate structured and semantically coherent judicial decisions in Chinese.The proposed method first employs LLMs to extract representative legal keywords from absolute court judgments.Then it integrates these keywords into Supervised Fine-Tuning(SFT)and Reinforcement Learning withHuman Feedback using Proximal Policy Optimization(RLHF-PPO).Experimental evaluations using models such as Chinese Alpaca 7B and TAIDE-LX-7B demonstrate that keyword-guided training significantly improves generation quality,achieving ROUGE-1,ROUGE-2,and ROUGE-L score gains of up to 17%,16%,and 20%,respectively.The results confirm that the proposed framework effectively aligns generated judgments with human-written legal logic and structural conventions.This research advances domainadaptive LLM fine-tuning strategies and establishes a technical foundation forAI-assisted judicial document generation in the taiwan region of China legal context.This research provides empirical evidence that domain-adaptive LLM fine-tuning strategies can significantly improve performance in complex,structured legal text generation.展开更多
National Fire codes,mandated by government authorities to tackle technical challenges in fire prevention and control,establish fundamental standards for construction practices.International collaboration in fire prote...National Fire codes,mandated by government authorities to tackle technical challenges in fire prevention and control,establish fundamental standards for construction practices.International collaboration in fire protection technologies has opened avenues for China to access a wealth of documents and codes,which are crucial in crafting regulations and developing a robust,scientific framework for fire code formulation.However,the translation of these codes into Chinese has been inadequate,thereby diminishing the benefits of technological exchange and collaborative learning.This underscores the necessity for comprehensive research into code translation,striving for higher-quality translations guided by established translation theories.In this study,we translated the initial segment of the NFPA 1 Fire Code into Chinese and examined both the source text and target text through the lens of Translation Shift Theory,a concept introduced by Catford.The conclusion culminated in identifying four key shifts across various linguistic levels:lexis,sentences,and groups,to ensure an accurate and precise translation of fire codes.This study offers a through and lucid explanation of how the translator integrates Catford’s theories to solve technical challenges in NFPA 1 Fire Code translation,and establish essential standards for construction translation practices.展开更多
The United Nations(UN)’s 80-year development history has been marked by continuous reform.From the Cold War era to the Post-Cold War period,the UN consistently restructured its mandates,institutional functions,and wo...The United Nations(UN)’s 80-year development history has been marked by continuous reform.From the Cold War era to the Post-Cold War period,the UN consistently restructured its mandates,institutional functions,and working methods to adapt to shifting global landscape.Since 2020,the organization has implemented systematic transformations through multiple reform documents to address global challenges.While progress has been made in reforming its peace and security frameworks.展开更多
AGRIS(The Agricultural Sciences and Technology)is a booklist-style international agricultural database which is established by the international agricultural technology information system subordinate to FAO.It embodie...AGRIS(The Agricultural Sciences and Technology)is a booklist-style international agricultural database which is established by the international agricultural technology information system subordinate to FAO.It embodies continued publications,documents,corpuses,books,technology reports,patents,maps,meeting papers,and other literatures,which are collected by 135 countries and regions,146 branches of AGRIS,and 22 international organizations.Its content comprises all the agricultural fields in the world,as well as forestry,economy,aquatic sciences,fishery,human dietetics,and so on.This database is an international intelligence communication system maintained by FAO,which updates quarterly and increases by 0.13 million records annually,with large data amount.展开更多
This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their supp...This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their support for all stages,and their use in risk and change management.It also covers document template creation,review record association,information management,adverse event traceability,and the reconciliation of differences in international declarations.展开更多
文摘This paper describes the Papers in Chinese Seismological Journal (CSJP) database (English edition) comprehensively, including the retrieval system of the database, the database features, the documental indexing,and the documental record format etc. It gives the block diagram of the retrieval system and the flow chart ofthe documental processing.
文摘Objectives: To analyze the documental quality of 389 websites in Portuguese about physical activity, healthy lifestyles and sedentary lifestyles found on the Brazilian version of the general search engine Google. Methods: The documental quality of the 389 websites was estimated based upon the following parameters: 1) a combination of quality criteria from the Health Information Locator (LIS—OPS/BIREME) and those from Chile’s Pontifical Catholic University, organized into 17 variables;2) uniformity of reference criteria (Vancouver);3) association between the presence of authorship and a higher number of the quality criteria being fulfilled. We also studied the ranking of the results presented by Google in addition to attributes connected to the websites’ target audience, the types of content, their sponsors and country of origin. Results: Of the 389 websites studied, 111 links were not active (28.53% CI 95% [24.05 - 33.02]) and none of the websites in the sample met all of the 17 quality variables. Authored websites displayed remarkable differences in quality when compared to those which did not identify their authors. Conclusions: Faced with the issue of the proliferation of websites with questionable quality content, and the fact that the ranking of results interferes directly in the internal evaluation of content relevance, we propose that public-health research institutions cooperate with web-searching developers to improve the website-positioning formula, in which the “identified authorship” criterion should play a major role in the ranking system.
文摘State Administration for Market Regulation and National Standardization Administration of China have approved the following 76 national standards as guiding technical docoments.
文摘提单的所谓物权凭证性质在中国长期存在争议,其实质是大陆法系所称提单的物权效力,系指交付提单与交付货物具有相同效力,由此可以满足货物物权变动的生效或对抗要件。英美法系认为提单是一种document of title,而大陆法系主要法域普遍均有提单物权效力的规定,长期以来形成了代表说、严格相对说、绝对说、物权效力否定说等较为稳定的学说。两大法系均认可提单代表货物的拟制占有或谓间接占有,提单的转让由此代表了货物占有的移转,但持有提单本身并不代表享有货物的所有权等物权。“提单代表货物”只是一种强调提单象征意义的简略表述。提单的物权效力在中国现行法下尚无明文规定,但具有作为习惯补充适用的空间,且《民法典》第598条也从买卖合同的角度提供了一定依据。提单交付对于货物所有权变动而言属于现实交付,而提单质押则应认定为权利质权。提单表征的货物拟制占有属于间接占有。提单电子化对物权效力的主要影响,应是如何对无形的电子提单认定占有。《海商法》修订应对提单的物权效力作出明确规定。
文摘In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.
基金supported by the Natural Science Foundation of Henan Province(Grant No.242300420297)awarded to Yi Sun.
文摘With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers has become particularly urgent.Currently,detection methods based on document structure and behavioral features encounter challenges in feature engineering,these methods not only have limited accuracy,but also consume large resources,and usually can only detect documents in specific formats,which lacks versatility and adaptability.To address such problems,this paper proposes a novel malicious document detection method-visualizing documents as GGE images(Grayscale,Grayscale matrix,Entropy).The GGE method visualizes the original byte sequence of the malicious document as a grayscale image,the information entropy sequence of the document as an entropy image,and at the same time,the grayscale level co-occurrence matrix and the texture and spatial information stored in it are converted into grayscale matrix image,and fuses the three types of images to get the GGE color image.The Convolutional Block Attention Module-EfficientNet-B0(CBAM-EfficientNet-B0)model is then used for classification,combining transfer learning and applying the pre-trained model on the ImageNet dataset to the feature extraction process of GGE images.As shown in the experimental results,the GGE method has superior performance compared with other methods,which is suitable for detecting malicious documents in different formats,and achieves an accuracy of 99.44%and 97.39%on Portable Document Format(PDF)and office datasets,respectively,and consumes less time during the detection process,which can be effectively applied to the task of detecting malicious documents in real-time.
基金the National Natural Science Foundation of China(Grant No.62172132)Public Welfare Technology Research Project of Zhejiang Province(Grant No.LGF21F020014)the Opening Project of Key Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security of Zhejiang Police College(Grant No.2021DSJSYS002).
文摘Seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and counterfeiting.Stamped seal inspection is commonly audited manually to ensure document authenticity.However,manual assessment of seal images is tedious and laborintensive due to human errors,inconsistent placement,and completeness of the seal.Traditional image recognition systems are inadequate enough to identify seal types accurately,necessitating a neural network-based method for seal image recognition.However,neural network-based classification algorithms,such as Residual Networks(ResNet)andVisualGeometryGroup with 16 layers(VGG16)yield suboptimal recognition rates on stamp datasets.Additionally,the fixed training data categories make handling new categories to be a challenging task.This paper proposes amulti-stage seal recognition algorithmbased on Siamese network to overcome these limitations.Firstly,the seal image is pre-processed by applying an image rotation correction module based on Histogram of Oriented Gradients(HOG).Secondly,the similarity between input seal image pairs is measured by utilizing a similarity comparison module based on the Siamese network.Finally,we compare the results with the pre-stored standard seal template images in the database to obtain the seal type.To evaluate the performance of the proposed method,we further create a new seal image dataset that contains two subsets with 210,000 valid labeled pairs in total.The proposed work has a practical significance in industries where automatic seal authentication is essential as in legal,financial,and governmental sectors,where automatic seal recognition can enhance document security and streamline validation processes.Furthermore,the experimental results show that the proposed multi-stage method for seal image recognition outperforms state-of-the-art methods on the two established datasets.
文摘This video series is the first experimental psychology documentary made in China.It focuses on analyzing professional theories to raise people’s general understanding of basic psychology.By combining innovative audiovisual narrative with psychological experiments,it zooms in on real human nature through discussing social hotspots from the perspectives of social psychology,cognitive psychology,and personality psychology,in order to help people find answers for their current psychological difficulties.
文摘BACKGROUND Operative reports(OP-Rs)are essential for communication among healthcare providers.They require accuracy and completeness to serve as a quality indicator of patient care.Objective assessment of primary total knee replacement(TKR)OP-Rs has never been reported.Therefore,a standardized benchmark for assessment and factors affecting the completeness of TKR OP-Rs needs to be evaluated.AIM To evaluate the completeness rate of primary TKR OP-Rs in a teaching hospital and to assess the factors affecting completeness.METHODS A retrospective review of 58 consecutive primary TKR OP-Rs in a tertiary te-aching hospital were included in this study.We used document analysis to review the OP-Rs against a standardized list of six subsets of mandatory variables.The correlation between the percentage of completeness and the specific variables was determined.RESULTS After analyzing 58 cases,we found that the time to documentation was 1.5 hours.Out of the 52 mandatory variables,a median of 30 variables were documented yielding a completeness of 58%.Administrative,procedural,exposure,and im-plant variables were documented the most often,whereas clinical and process variables were most frequently left uncompleted.The documentation of the operative maneuver was variable.There was no association between the com-pleteness of the reports and the time to documentation,documenter level,com-plication rate,operative duration,or length of hospital stay.CONCLUSION Multiple variables were left undocumented on the unstructured primary TKR OP-Rs.The completeness percentage will likely improve after the implementation of a standardized structured OP-R.
基金funded by Sichuan International Studies University within the framework of the research project“Oulipian Experimentalism and Spatial Structure in the Travel Narratives of Jacques Roubaud”(sisu202008).
文摘This article explores the intersections of Buddhism,Daoism,and contemporary French literary practice in the study of the everyday(quotidien).Since the 1980s,French literature has increasingly shifted its focus from the exotic to the mundane,engaging with theoretical frameworks developed by scholars such as Henri Lefebvre and Michel de Certeau.Drawing on Buddhist notions of emptiness and dependent arising,as well as Daoist principles of yin-yang interdependence,the article bridges Eastern and Western philosophies to demonstrate the everyday not as a static or trivial backdrop,but as a dynamic and transformative space.It further examines how representations of daily life in the works of Georges Perec and Jacques Roubaud employ the meticulous documentation of mundane details to uncover hidden patterns,rhythms,and structures of human experience.Through literary fieldwork,Perec and Roubaud challenge conventional perceptions of the everyday,unveiling its depth,complexity,and potential for reinvention.
文摘What Are You Up To Today?Chief Director:Wu Zijuan Length:12 Episodes Producer:bilibili Broadcasting Platform:bilibili Produced by China’s YouTube-like video sharing platform bilibili,the film is a series of short documentaries presenting people's daily life in different jobs.It follows 12 individuals in their respective jobs and trades that keep society functioning.By focusing on their daily lives,the documentary films capture the hustle and bustle of the days that make up a hopeful life.
基金supported by the Tightly Integrated Health Consortium Research Project(Grant ynlglht202412)。
文摘In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence technology,it has become possible to use large text models to assist in generating nursing documents.This article explores the application of generative AI in nursing documentation.Research has shown that the application of generative AI in nursing documents demonstrates significant potential,but also faces challenges in terms of quality and implementation.In terms of efficiency,AI assisted document tools can significantly reduce the administrative burden on nurses by reallocating time to direct patient care.Studies have shown that they can reduce document time by 21-30%.However,there are variables in the quality of AI generated records,and the content is often described as'textbook style',lacking patient specific details and appropriate medical terminology.Successful implementation relies on a specialized framework that includes strong stakeholder engagement and adaptation to nursing specific workflows and regulatory standards.The conclusion points out that current AI systems are most suitable for assisting in drafting nursing documents,and clinical validation remains crucial for patient safety and document integrity.
基金Hebei Province Higher Education Teaching Reform Research and Practice Program(Project No.:2022GJJG467)。
文摘With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simultaneously,the profession demands stronger self-directed learning capabilities from practitioners.To address these issues,this study develops a“Five-in-One”self-directed learning model comprising five interrelated dimensions:goal orientation,instructional regulation,cognitive development,technological resources,and process monitoring.The application of this model has significantly improved course evaluation outcomes,enhanced faculty teaching and research capacity,strengthened students’practical and innovative skills,and expanded the course’s reach and social impact.The model thus provides both a theoretical framework and a practical pathway for the reform of similar applied courses.
文摘This critical review looks at the assessment of the application of artificial intelligence in handling legal documents with specific reference to medical negligence cases with a view of identifying its transformative potentialities, issues and ethical concerns. The review consolidates findings that show the impact of AI in improving the efficiency, accuracy and justice delivery in the legal profession. The studies show increased efficiency in speed of document review and enhancement of the accuracy of the reviewed documents, with time efficiency estimates of 60% reduction of time. However, the review also outlines some of the problems that continue to characterize AI, such as data quality problems, biased algorithms and the problem of the opaque decision-making system. This paper assesses ethical issues related to patient autonomy, justice and non-malignant suffering, with particular focus on patient privacy and fair process, and on potential unfairness to patients. This paper’s review of AI innovations finds that regulations lag behind AI developments, leading to unsettled issues regarding legal responsibility for AI and user control over AI-generated results and findings in legal proceedings. Some of the future avenues that are presented in the study are the future of XAI for legal purposes, utilizing federated learning for resolving privacy issues, and the need to foster adaptive regulation. Finally, the review advocates for Legal Subject Matter Experts to collaborate with legal informatics experts, ethicists, and policy makers to develop the best solutions to implement AI in medical negligence claims. It reasons that there is great potential for AI to have a deep impact on the practice of law but when done, it must do so in a way that respects justice and on the Rights of Individuals.
文摘The rapid advancement of Large Language Models(LLMs)has enabled their application in diverse professional domains,including law.However,research on automatic judicial document generation remains limited,particularly for taiwan region of China courts.This study proposes a keyword-guided training framework that enhances LLMs’ability to generate structured and semantically coherent judicial decisions in Chinese.The proposed method first employs LLMs to extract representative legal keywords from absolute court judgments.Then it integrates these keywords into Supervised Fine-Tuning(SFT)and Reinforcement Learning withHuman Feedback using Proximal Policy Optimization(RLHF-PPO).Experimental evaluations using models such as Chinese Alpaca 7B and TAIDE-LX-7B demonstrate that keyword-guided training significantly improves generation quality,achieving ROUGE-1,ROUGE-2,and ROUGE-L score gains of up to 17%,16%,and 20%,respectively.The results confirm that the proposed framework effectively aligns generated judgments with human-written legal logic and structural conventions.This research advances domainadaptive LLM fine-tuning strategies and establishes a technical foundation forAI-assisted judicial document generation in the taiwan region of China legal context.This research provides empirical evidence that domain-adaptive LLM fine-tuning strategies can significantly improve performance in complex,structured legal text generation.
基金Hangzhou Philosophy and Social Science Planning Program(24JD15)。
文摘National Fire codes,mandated by government authorities to tackle technical challenges in fire prevention and control,establish fundamental standards for construction practices.International collaboration in fire protection technologies has opened avenues for China to access a wealth of documents and codes,which are crucial in crafting regulations and developing a robust,scientific framework for fire code formulation.However,the translation of these codes into Chinese has been inadequate,thereby diminishing the benefits of technological exchange and collaborative learning.This underscores the necessity for comprehensive research into code translation,striving for higher-quality translations guided by established translation theories.In this study,we translated the initial segment of the NFPA 1 Fire Code into Chinese and examined both the source text and target text through the lens of Translation Shift Theory,a concept introduced by Catford.The conclusion culminated in identifying four key shifts across various linguistic levels:lexis,sentences,and groups,to ensure an accurate and precise translation of fire codes.This study offers a through and lucid explanation of how the translator integrates Catford’s theories to solve technical challenges in NFPA 1 Fire Code translation,and establish essential standards for construction translation practices.
文摘The United Nations(UN)’s 80-year development history has been marked by continuous reform.From the Cold War era to the Post-Cold War period,the UN consistently restructured its mandates,institutional functions,and working methods to adapt to shifting global landscape.Since 2020,the organization has implemented systematic transformations through multiple reform documents to address global challenges.While progress has been made in reforming its peace and security frameworks.
文摘AGRIS(The Agricultural Sciences and Technology)is a booklist-style international agricultural database which is established by the international agricultural technology information system subordinate to FAO.It embodies continued publications,documents,corpuses,books,technology reports,patents,maps,meeting papers,and other literatures,which are collected by 135 countries and regions,146 branches of AGRIS,and 22 international organizations.Its content comprises all the agricultural fields in the world,as well as forestry,economy,aquatic sciences,fishery,human dietetics,and so on.This database is an international intelligence communication system maintained by FAO,which updates quarterly and increases by 0.13 million records annually,with large data amount.
文摘This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their support for all stages,and their use in risk and change management.It also covers document template creation,review record association,information management,adverse event traceability,and the reconciliation of differences in international declarations.
