Whether meaning is arbitrary or motivated remains a matter of unsettled linguistic debate.The main purpose of this discussion is to bring to linguistic attention the level of motivation in EkeGusii,a Bantu language of...Whether meaning is arbitrary or motivated remains a matter of unsettled linguistic debate.The main purpose of this discussion is to bring to linguistic attention the level of motivation in EkeGusii,a Bantu language of the Niger-Congo family spoken in Kenya,using onomatopoeic infinitives and nouns,and to attest that meaning is considerably iconic.It does not look convenient to classify onomatopes under ideophones.Imagic iconicity plays a central role in the two word classes,though imagic and relative iconicity intersect in cacophonous,reduplicative,and inherently onomatopoeic nouns.In EkeGusii,onomatopes are either explicit or implicit.It becomes clear that onomatopoeia acquires a metaphorical function in certain idiomatic expressions in EkeGusii.展开更多
The Chinese philosophy on the implicit beauty of images is based on the idea that the whole world is very much like an infinite crisscrossing web, in which everything is an intersection point, and the infinite world a...The Chinese philosophy on the implicit beauty of images is based on the idea that the whole world is very much like an infinite crisscrossing web, in which everything is an intersection point, and the infinite world around it serves as the origin. Discerning the implicit beauty means that you must watch the intersection-point-composed "images" and figure out the original "meaning" beyond them. Such a process of experiencing and reflection is what we call "the aesthetic consciousness." Therefore, the implicit beauty of images in our daily life also reminds us that we can both face and transcend reality.展开更多
The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for inn...The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for innovation.However,the extensive computational resources demanded by AI consequently lead to substantial energy consumption,presenting a complicated challenge in balancing technological advancement with environmental sustainability.What AI can reciprocally contribute to the energy sector is an intriguing and urgent topic for discussion.This review categorizes the role of AI in terms of its explicit and implicit contributions to the energy sector by summarizing and discussing recent studies on this topic.Explicit contributions rely on the specific and actionable involvement of AI in energy production,including the improvement of energy production efficiency,optimization of renewable energy systems,and enhancement of energy security.In contrast,implicit contributions may not always be apparent but could provide valuable guidance into the energy sector,such as the optimization of energy allocation,promotion of energy conservation,support for sustainable urban development,and advancements in the development of energy materials.Perspectives on future efforts to enhance the contribution of AI to the energy sector are also presented.This review emphasizes the energy-intensive nature of AI technologies and highlights the imperative for strategies to mitigate their environmental impact,suggesting future research directions to achieve a sustainable balance.展开更多
A model for the amount of pollution in lakes connected with some rivers is introduced.In this model,it is supposed the density of pollution in a lake has memory.The model leads to a system of fractional differential e...A model for the amount of pollution in lakes connected with some rivers is introduced.In this model,it is supposed the density of pollution in a lake has memory.The model leads to a system of fractional differential equations.This system is transformed into a system of Volterra integral equations with memory kernels.The existence and regularity of the solutions are investigated.A high-order numerical method is introduced and analyzed and compared with an explicit method based on the regularity of the solution.Validation examples are supported,and some models are simulated and discussed.展开更多
文摘Whether meaning is arbitrary or motivated remains a matter of unsettled linguistic debate.The main purpose of this discussion is to bring to linguistic attention the level of motivation in EkeGusii,a Bantu language of the Niger-Congo family spoken in Kenya,using onomatopoeic infinitives and nouns,and to attest that meaning is considerably iconic.It does not look convenient to classify onomatopes under ideophones.Imagic iconicity plays a central role in the two word classes,though imagic and relative iconicity intersect in cacophonous,reduplicative,and inherently onomatopoeic nouns.In EkeGusii,onomatopes are either explicit or implicit.It becomes clear that onomatopoeia acquires a metaphorical function in certain idiomatic expressions in EkeGusii.
文摘The Chinese philosophy on the implicit beauty of images is based on the idea that the whole world is very much like an infinite crisscrossing web, in which everything is an intersection point, and the infinite world around it serves as the origin. Discerning the implicit beauty means that you must watch the intersection-point-composed "images" and figure out the original "meaning" beyond them. Such a process of experiencing and reflection is what we call "the aesthetic consciousness." Therefore, the implicit beauty of images in our daily life also reminds us that we can both face and transcend reality.
基金supported by the National Key R&D Program of China(2023YFA1508001)the Beijing National Laboratory for Molecular Sciencesthe National Natural Science Foundation of China(22278002,62203015)。
文摘The application of artificial intelligence(AI)has the potential to revolutionize various aspects of human life and industrial production by enhancing efficiency,mitigating human error,and unlocking new avenues for innovation.However,the extensive computational resources demanded by AI consequently lead to substantial energy consumption,presenting a complicated challenge in balancing technological advancement with environmental sustainability.What AI can reciprocally contribute to the energy sector is an intriguing and urgent topic for discussion.This review categorizes the role of AI in terms of its explicit and implicit contributions to the energy sector by summarizing and discussing recent studies on this topic.Explicit contributions rely on the specific and actionable involvement of AI in energy production,including the improvement of energy production efficiency,optimization of renewable energy systems,and enhancement of energy security.In contrast,implicit contributions may not always be apparent but could provide valuable guidance into the energy sector,such as the optimization of energy allocation,promotion of energy conservation,support for sustainable urban development,and advancements in the development of energy materials.Perspectives on future efforts to enhance the contribution of AI to the energy sector are also presented.This review emphasizes the energy-intensive nature of AI technologies and highlights the imperative for strategies to mitigate their environmental impact,suggesting future research directions to achieve a sustainable balance.
文摘A model for the amount of pollution in lakes connected with some rivers is introduced.In this model,it is supposed the density of pollution in a lake has memory.The model leads to a system of fractional differential equations.This system is transformed into a system of Volterra integral equations with memory kernels.The existence and regularity of the solutions are investigated.A high-order numerical method is introduced and analyzed and compared with an explicit method based on the regularity of the solution.Validation examples are supported,and some models are simulated and discussed.
