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中西诗学阐释的“互照互省”:以叶维廉“文化模子”为中心
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作者 朱云 《上海文化》 2024年第6期32-41,共10页
叶维廉诗学研究的特色是其以“文化模子”为核心的比较诗学阐释理论,“模子”是其理论体系的出发点和基石,也是其开展翻译、比较诗学批评与实践的方法论基础。叶维廉对于“文化模子”的构建过程始终贯穿于其中诗西译的实践和中西诗歌的... 叶维廉诗学研究的特色是其以“文化模子”为核心的比较诗学阐释理论,“模子”是其理论体系的出发点和基石,也是其开展翻译、比较诗学批评与实践的方法论基础。叶维廉对于“文化模子”的构建过程始终贯穿于其中诗西译的实践和中西诗歌的比较、阐释与汇通研究之中。通过寻求跨文化的“共同美学据点”、识辨东西方不同传统中的“同”和“异”,叶维廉试图印证中西美学传统之间汇通与互为阐发的可能,并希望通过“互照互省”为民族文学和诗学谋求更广阔的发展空间。叶维廉“文化模子”的构建,有效拓宽了文学阐释的中西汇通和比较研究,对于我国比较诗学学科理论的建设有重要贡献。 展开更多
关键词 叶维廉 “文化模子” 阐释 同异全识 互照互省
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The Global Value ofMencius's Ideas on Moral Feeling and Reason: Reinterpreting the Feeling of Compassion From the Perspective of the Philosophy of Emotion 被引量:5
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作者 Liu Yuedi 《Cultural and Religious Studies》 2016年第6期372-386,共15页
Amid the recent global upsurge of studies on the philosophy of emotion, a reinterpretation of traditional Confucian philosophy, especially Mencius's ideas on the siduan (Four Original Sources) of morality, may shed... Amid the recent global upsurge of studies on the philosophy of emotion, a reinterpretation of traditional Confucian philosophy, especially Mencius's ideas on the siduan (Four Original Sources) of morality, may shed new light on the subject in comparative philosophy. This paper probes the structure of moral feeling and reason described by Mencius's from five perspectives: (1) In view of the relationship between feeling and reason, is it better to use the expression "siduan" or the expression "sixin (Four Heart-minds)"? (2) In view of dispositional feeling, what are the four original sources? (3) In view of moral feeling, what are the structural order of the four sources and the corresponding procedure of reasoning of four heart-minds of Humanity? (4) In view of positive feeling, how does moral feeling grow out of the goodness of human nature? (5) What is the global value of Mencius's ideas on human moral feeling? The author concludes that Mencius's thought on moral feeing has a global value and cross-cultural significance, and that Chinese wisdom is more than regional but universally applicable. The structure of moral feeling and reason that Mencius identified is in accordance with the principles ofzhiliang (grasping the two poles of the beginning and the end) and yongzhong (emloying the middle). The principles ofzhiliang and yongzhong are true universal wisdoms of Confucianism, which should be rekindled today. From a practical point of view, "the Way begins from moral feelings," and Confucius and Yah Hui's seeking the simple, virtuous life is an ideal model of emotional well-being. 展开更多
关键词 philosophy of emotion four original sources COMPASSION structure of moral feeling and reason globalvalue
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Optimization of the Hydrological Model Using Multi-objective Particle Swarm Optimization Algorithm 被引量:2
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作者 黄晓敏 雷晓辉 +1 位作者 王宇晖 朱连勇 《Journal of Donghua University(English Edition)》 EI CAS 2011年第5期519-522,共4页
An application of multi-objective particle swarm optimization (MOPSO) algorithm for optimization of the hydrological model (HYMOD) is presented in this paper. MOPSO algorithm is used to find non-dominated solution... An application of multi-objective particle swarm optimization (MOPSO) algorithm for optimization of the hydrological model (HYMOD) is presented in this paper. MOPSO algorithm is used to find non-dominated solutions with two objectives: high flow Nash-Sutcliffe efficiency and low flow Nash- Sutcliffe efficiency. The two sets' coverage rate and Pareto front spacing metric are two criterions to analyze the performance of the algorithms. MOPSO algorithm surpasses multi-objective shuffled complex evolution metcopolis (MOSCEM_UA) algorithr~, in terms of the two sets' coverage rate. But when we come to Pareto front spacing rate, the non-dominated solutions of MOSCEM_ UA algorithm are better-distributed than that of MOPSO algorithm when the iteration is set to 40 000. In addition, there are obvious conflicts between the two objectives. But a compromise solution can be acquired by adopting the MOPSO algorithm. 展开更多
关键词 multi-objective particle swarm optimization (MOPSO) hydrological model (HYMOD) multi-objective optimization
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