With the continuous improvement of the medical industry’s requirements for the professional capabilities of nursing talents,traditional nursing teaching models can hardly meet the needs of complex nursing work in neu...With the continuous improvement of the medical industry’s requirements for the professional capabilities of nursing talents,traditional nursing teaching models can hardly meet the needs of complex nursing work in neurology.This paper focuses on nursing education for neurology nursing students and explores the construction of the“one-on-one”teaching model,aiming to achieve a paradigm shift in nursing education.By analyzing the current status of neurology nursing education,this paper identifies the problems in traditional teaching models.Combining the advantages of the“one-on-one”teaching model,it elaborates on the construction path of this model from aspects such as the selection and training of teaching instructors,the design of teaching content,the innovation of teaching methods,and the improvement of the teaching evaluation system.The research shows that the“one-on-one”teaching model can significantly enhance nursing students’mastery of professional knowledge,clinical operation skills,communication skills,and emergency response capabilities,as well as strengthen their professional identity and sense of responsibility.It provides an effective way to cultivate high-quality nursing talents who can meet the needs of neurology nursing work and promotes the innovative development of nursing education.展开更多
From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovati...From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient attention.In this paper,we give an overview and perspective on machine learning paradigms.First,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective.Accordingly,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified style.We further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ChatGPT.Second,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.展开更多
Chinese President Xi Jinping's visit to Bangladesh in October2016 has dramatically uplifted the strategic value of Bangladesh to the world and presented new opportunities to Bangladeshs' security,political and...Chinese President Xi Jinping's visit to Bangladesh in October2016 has dramatically uplifted the strategic value of Bangladesh to the world and presented new opportunities to Bangladeshs' security,political and economic interests.Bangladesh and China have agreed to elevate‘the closer comprehensive partnership of cooperation'to a ‘strategic partnership'.China's B&R initiative is perhaps a major project for Bangladesh to promote economic development and to connect itself with global markets.展开更多
Learner autonomy and attribution impact English language acquisition. Learners should be encouraged to take the responsibility for their success or failure, and achievement or underperformance in the acquisition of En...Learner autonomy and attribution impact English language acquisition. Learners should be encouraged to take the responsibility for their success or failure, and achievement or underperformance in the acquisition of English as an L2 （second language）. A paradigm shift can be visible on the part of teachers and students of English only when they are metamorphosed voluntarily into classroom facilitators and autonomous learners with changed duties and responsibilities. As facilitators, teachers closely monitor learners＇ attributions to their success/failure in English language courses. ＂Attribution＂ means ＂how learners learn about themselves and order uncertain environments＂. Teachers are very often unaware of learner attributions; so it becomes essential for them to increase their awareness of learner attributions so that they can become facilitators. Interaction is the only medium for acquisition of English in the classroom, and teachers can play the role of a catalyst only when they allow students to become leamers with autonomy and right kind of learner attributions. Autonomy implies accountability. Very often, learner attributions clash with teacher attributions. As long as there is a clash, teachers can never claim themselves as facilitators of learning. This paper identifies the attributions of Indian learners of English, and studies if they clash with those of teachers. It also finds out the means of minimizing the negative and undesirable attributions of both facilitators and learners. Two standardized research questionnaires were developed and administered among students and teachers to identify the attributions, and to detect the desirability and feasibility of learner autonomy in the Indian context.展开更多
As educational reforms intensify and societal emphasis shifts towards empowerment,the traditional discourse paradigm of management and control in educational supervision faces growing challenges.This paper explores th...As educational reforms intensify and societal emphasis shifts towards empowerment,the traditional discourse paradigm of management and control in educational supervision faces growing challenges.This paper explores the transformation of this discourse paradigm through the lens of empowerment,analyzing its distinct characteristics,potential pathways,and effective strategies.This paper begins by reviewing the concept of empowerment and examining the current research landscape surrounding the discourse paradigm in educational supervision.Subsequently,we conduct a comparative analysis of the“control”and“empowerment”paradigms,highlighting their essential differences.This analysis illuminates the key characteristics of an empowerment-oriented approach to educational supervision,particularly its emphasis on dialogue,collaboration,participation,and,crucially,empowerment itself.Ultimately,this research advocates for a shift in educational supervision towards an empowerment-oriented discourse system.This entails a multi-pronged approach:transforming ingrained beliefs,embracing renewed pedagogical concepts,fostering methodological innovation,and optimizing existing mechanisms and strategies within educational supervision.These changes are proposed to facilitate the more effective alignment of educational supervision with the pursuit of high-quality education.展开更多
Significant effort including field work has been devoted to develop a natural gas extraction technology from natural gas hydrate reservoirs through the injection of carbon dioxide. Natural gas hydrate is practically m...Significant effort including field work has been devoted to develop a natural gas extraction technology from natural gas hydrate reservoirs through the injection of carbon dioxide. Natural gas hydrate is practically methane hydrate. The hypothesis is that carbon dioxide will be stored as hydrate owing to its favorable stability conditions compared to methane hydrate. Although the dynamics of the CO2/CH4 exchange process are not entirely understood it is established that the exchange process is feasible. The extent is limited but even if the CH4 recovery is optimized there is a need for a CH4/CO2 separation plant to enable a complete cyclic sequence of CO2 capture, injection and CH4 recovery. In this paper we propose an alternative paradigm to the Inject(CO2)/Exchange with(CH4)/Recover(CH4) one namely Recover(CH4) first and then Inject(CO2) for Storage.展开更多
This paper presents a discussion about paradigm shift from following aspects: the paradigm shift and sustainability,traditional paradigm in China,experience from developed countries and the new planning paradigm shift...This paper presents a discussion about paradigm shift from following aspects: the paradigm shift and sustainability,traditional paradigm in China,experience from developed countries and the new planning paradigm shift. Also,the paper mainly focuses on the topic of urbanrural relationship in China and argues the possibility of paradigm shift to achieve urban-rural integration. The traditional urbanization paradigm has city-oriented policy and always focuses on industrialization to promote urbanization,which leads to the village hollowing and many other sacrifices in rural areas. Thus,new shifting of the urban-rural integration is essential. The paper mentions the new planning from policy and spatial aspects appearing some ways to achieve the new paradigm shift in urban-rural integration.展开更多
Similar to transformative inventions like the steam engine,electricity,computers,and the internet throughout history,artificial intelligence(AI)is evolving into a general-purpose technology,rapidly reshapingg every as...Similar to transformative inventions like the steam engine,electricity,computers,and the internet throughout history,artificial intelligence(AI)is evolving into a general-purpose technology,rapidly reshapingg every aspect‘of human society.Unlike previous technological inventions that have improved human beings'ability to interact with the environment from the perspective of mechanized enhancement,the emergence of AI has challenged the fundamentals of human beings.展开更多
In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of...In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as POS-tagging, named entity recognition (NER), and chunking, and adopt the classification paradigm to solve tasks like sentiment analysis. With the rapid progress of pre-trained language models, recent years have witnessed a rising trend of paradigm shift, which is solving one NLP task in a new paradigm by reformulating the task. The paradigm shift has achieved great success on many tasks and is becoming a promising way to improve model performance. Moreover, some of these paradigms have shown great potential to unify a large number of NLP tasks, making it possible to build a single model to handle diverse tasks. In this paper, we review such phenomenon of paradigm shifts in recent years, highlighting several paradigms that have the potential to solve different NLP tasks.展开更多
The world of 2017 is one marked by turbulence and chaos. In assessing the international situation over the pastyear, much can be revealed by starting with two international conferences.
“By successfully integrating artificial intelligence(AI)into research workflows,researchers could substantially increase scientific productivity”[1].In biofabrication,AI is dr iving a paradigm shift from empiricism ...“By successfully integrating artificial intelligence(AI)into research workflows,researchers could substantially increase scientific productivity”[1].In biofabrication,AI is dr iving a paradigm shift from empiricism toward intelligen t,data centric manufacturing[2].By integrating computation,automation,and biology,AI gives rise to self-evolving,adaptive systems that learn from data,predict complex behaviors,and autonomously optimize fabrication outcomes.Such systems translate experimental insights into patient-specific and clinically relevant solutions,bridging laboratory research and regenerative therapies[3].This emerging frontier is rapidly advancing from concept to application.This Special Column highlights how AI-driven advanc es in materials,design,and manufacturing are reshaping biof abrication for regenerative medicine and clinical translation.展开更多
文摘With the continuous improvement of the medical industry’s requirements for the professional capabilities of nursing talents,traditional nursing teaching models can hardly meet the needs of complex nursing work in neurology.This paper focuses on nursing education for neurology nursing students and explores the construction of the“one-on-one”teaching model,aiming to achieve a paradigm shift in nursing education.By analyzing the current status of neurology nursing education,this paper identifies the problems in traditional teaching models.Combining the advantages of the“one-on-one”teaching model,it elaborates on the construction path of this model from aspects such as the selection and training of teaching instructors,the design of teaching content,the innovation of teaching methods,and the improvement of the teaching evaluation system.The research shows that the“one-on-one”teaching model can significantly enhance nursing students’mastery of professional knowledge,clinical operation skills,communication skills,and emergency response capabilities,as well as strengthen their professional identity and sense of responsibility.It provides an effective way to cultivate high-quality nursing talents who can meet the needs of neurology nursing work and promotes the innovative development of nursing education.
基金This work was supported by the National Key Research and Development Program of China(2020YFB2104001)the National Natural Science Foundation of China(62271485,61903363,U1811463)Open Project of the State Key Laboratory for Management and Control of Complex Systems(20220117).
文摘From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient attention.In this paper,we give an overview and perspective on machine learning paradigms.First,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective.Accordingly,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified style.We further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ChatGPT.Second,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.
文摘Chinese President Xi Jinping's visit to Bangladesh in October2016 has dramatically uplifted the strategic value of Bangladesh to the world and presented new opportunities to Bangladeshs' security,political and economic interests.Bangladesh and China have agreed to elevate‘the closer comprehensive partnership of cooperation'to a ‘strategic partnership'.China's B&R initiative is perhaps a major project for Bangladesh to promote economic development and to connect itself with global markets.
文摘Learner autonomy and attribution impact English language acquisition. Learners should be encouraged to take the responsibility for their success or failure, and achievement or underperformance in the acquisition of English as an L2 （second language）. A paradigm shift can be visible on the part of teachers and students of English only when they are metamorphosed voluntarily into classroom facilitators and autonomous learners with changed duties and responsibilities. As facilitators, teachers closely monitor learners＇ attributions to their success/failure in English language courses. ＂Attribution＂ means ＂how learners learn about themselves and order uncertain environments＂. Teachers are very often unaware of learner attributions; so it becomes essential for them to increase their awareness of learner attributions so that they can become facilitators. Interaction is the only medium for acquisition of English in the classroom, and teachers can play the role of a catalyst only when they allow students to become leamers with autonomy and right kind of learner attributions. Autonomy implies accountability. Very often, learner attributions clash with teacher attributions. As long as there is a clash, teachers can never claim themselves as facilitators of learning. This paper identifies the attributions of Indian learners of English, and studies if they clash with those of teachers. It also finds out the means of minimizing the negative and undesirable attributions of both facilitators and learners. Two standardized research questionnaires were developed and administered among students and teachers to identify the attributions, and to detect the desirability and feasibility of learner autonomy in the Indian context.
文摘As educational reforms intensify and societal emphasis shifts towards empowerment,the traditional discourse paradigm of management and control in educational supervision faces growing challenges.This paper explores the transformation of this discourse paradigm through the lens of empowerment,analyzing its distinct characteristics,potential pathways,and effective strategies.This paper begins by reviewing the concept of empowerment and examining the current research landscape surrounding the discourse paradigm in educational supervision.Subsequently,we conduct a comparative analysis of the“control”and“empowerment”paradigms,highlighting their essential differences.This analysis illuminates the key characteristics of an empowerment-oriented approach to educational supervision,particularly its emphasis on dialogue,collaboration,participation,and,crucially,empowerment itself.Ultimately,this research advocates for a shift in educational supervision towards an empowerment-oriented discourse system.This entails a multi-pronged approach:transforming ingrained beliefs,embracing renewed pedagogical concepts,fostering methodological innovation,and optimizing existing mechanisms and strategies within educational supervision.These changes are proposed to facilitate the more effective alignment of educational supervision with the pursuit of high-quality education.
基金The financial support from NSERC is acknowledged
文摘Significant effort including field work has been devoted to develop a natural gas extraction technology from natural gas hydrate reservoirs through the injection of carbon dioxide. Natural gas hydrate is practically methane hydrate. The hypothesis is that carbon dioxide will be stored as hydrate owing to its favorable stability conditions compared to methane hydrate. Although the dynamics of the CO2/CH4 exchange process are not entirely understood it is established that the exchange process is feasible. The extent is limited but even if the CH4 recovery is optimized there is a need for a CH4/CO2 separation plant to enable a complete cyclic sequence of CO2 capture, injection and CH4 recovery. In this paper we propose an alternative paradigm to the Inject(CO2)/Exchange with(CH4)/Recover(CH4) one namely Recover(CH4) first and then Inject(CO2) for Storage.
文摘This paper presents a discussion about paradigm shift from following aspects: the paradigm shift and sustainability,traditional paradigm in China,experience from developed countries and the new planning paradigm shift. Also,the paper mainly focuses on the topic of urbanrural relationship in China and argues the possibility of paradigm shift to achieve urban-rural integration. The traditional urbanization paradigm has city-oriented policy and always focuses on industrialization to promote urbanization,which leads to the village hollowing and many other sacrifices in rural areas. Thus,new shifting of the urban-rural integration is essential. The paper mentions the new planning from policy and spatial aspects appearing some ways to achieve the new paradigm shift in urban-rural integration.
文摘Similar to transformative inventions like the steam engine,electricity,computers,and the internet throughout history,artificial intelligence(AI)is evolving into a general-purpose technology,rapidly reshapingg every aspect‘of human society.Unlike previous technological inventions that have improved human beings'ability to interact with the environment from the perspective of mechanized enhancement,the emergence of AI has challenged the fundamentals of human beings.
基金supported by National Natural Science Foundation of China(No.62022027).
文摘In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as POS-tagging, named entity recognition (NER), and chunking, and adopt the classification paradigm to solve tasks like sentiment analysis. With the rapid progress of pre-trained language models, recent years have witnessed a rising trend of paradigm shift, which is solving one NLP task in a new paradigm by reformulating the task. The paradigm shift has achieved great success on many tasks and is becoming a promising way to improve model performance. Moreover, some of these paradigms have shown great potential to unify a large number of NLP tasks, making it possible to build a single model to handle diverse tasks. In this paper, we review such phenomenon of paradigm shifts in recent years, highlighting several paradigms that have the potential to solve different NLP tasks.
文摘The world of 2017 is one marked by turbulence and chaos. In assessing the international situation over the pastyear, much can be revealed by starting with two international conferences.
文摘“By successfully integrating artificial intelligence(AI)into research workflows,researchers could substantially increase scientific productivity”[1].In biofabrication,AI is dr iving a paradigm shift from empiricism toward intelligen t,data centric manufacturing[2].By integrating computation,automation,and biology,AI gives rise to self-evolving,adaptive systems that learn from data,predict complex behaviors,and autonomously optimize fabrication outcomes.Such systems translate experimental insights into patient-specific and clinically relevant solutions,bridging laboratory research and regenerative therapies[3].This emerging frontier is rapidly advancing from concept to application.This Special Column highlights how AI-driven advanc es in materials,design,and manufacturing are reshaping biof abrication for regenerative medicine and clinical translation.
