7,334 research outputs found
Ni Pengfei 倪鹏飞, The characteristics, problems and policy recommendations about China's urbanisation
No full textProfessor Ni Pengfei 倪鹏飞. recently published an article in Zhongguo guoqing guoli ((Zhao Zheng 赵峥, Ni Pengfei 倪鹏飞, “Dangqian wo guo chengzhen hua fazhan de tezheng, wenti ji zhengce jianyi” 当前我国城镇化发展的特征、问题及政策建议, Zhongguo guoqing guoli 2012, 2. Full text available on CNKI)) Urbanisation is an important process, which promotes national economic and social development. It is also an important development strategy for China's 12th Five-Year Plan (2011-2015). The authors highlight several featu..
Ni Pengfei 倪鹏飞, The characteristics, problems and policy recommendations about China's urbanisation
No full textProfessor Ni Pengfei 倪鹏飞. recently published an article in Zhongguo guoqing guoli ((Zhao Zheng 赵峥, Ni Pengfei 倪鹏飞, “Dangqian wo guo chengzhen hua fazhan de tezheng, wenti ji zhengce jianyi” 当前我国城镇化发展的特征、问题及政策建议, Zhongguo guoqing guoli 2012, 2. Full text available on CNKI)) Urbanisation is an important process, which promotes national economic and social development. It is also an important development strategy for China's 12th Five-Year Plan (2011-2015). The authors highlight several featu..
Association knowledge in natural language learning
No full textSubmission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo termsThe student, Pengfei Yu, accepted the attached license on 2024-10-22 at 22:35.The student, Pengfei Yu, submitted this Dissertation for approval on 2024-10-22 at 22:41.This Dissertation was approved for publication on 2024-10-28 at 10:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #21267 on 2025-03-28 at 14:25:12Association is an important feature of natural language originates from the human's cognitive ability to associate concepts. It is the key to unveiling the computational mechanism of natural language, which is closely related to the research of natural language processing (NLP). However, the current dominant learning paradigm, which is based on neural models that combine distributed representations with probabilistic modeling, demonstrates insufficient capabilities in modeling associations in natural language. To compensate for the deficiency, we mathematically formulate the concept of Association Knowledge as the joint distribution over the probabilities of instances and establish a general methodology to incorporate association knowledge into the training architecture of neural models. We delve into Association Knowledge through a series of case studies across various dimensions, including associations among types of knowledge, languages, instances and unstructured information. These case studies span both smaller neural models and large language models. Through our investigations, we demonstrate that explicitly integrating Association Knowledge into neural architectures markedly improves model performance and efficiency. This enhanced capability is evident in diverse scenarios, from improving event detection in lifelong learning settings and facilitating robust cross-lingual translations, to enhancing the detection of long-tail mentions and refining the updates in large language models. Collectively, our findings underscore the pivotal role of Association Knowledge in advancing the state of NLP by fostering more robust and knowledge-aware neural models
sj-jpg-1-cll-10.1177_09636897221083549 – Supplemental material for The Endoplasmic Reticulum-Stressed Head and Neck Squamous Cell Carcinoma Cells Induced Exosomal miR-424-5p Inhibits Angiogenesis and Migration of Humanumbilical Vein Endothelial Cells Through LAMC1-Mediated Wnt/β-Catenin Signaling Pathway
No full textSupplemental material, sj-jpg-1-cll-10.1177_09636897221083549 for The Endoplasmic Reticulum-Stressed Head and Neck Squamous Cell Carcinoma Cells Induced Exosomal miR-424-5p Inhibits Angiogenesis and Migration of Humanumbilical Vein Endothelial Cells Through LAMC1-Mediated Wnt/β-Catenin Signaling Pathway by Zeyu Wang, Pengfei Jiao, Yi Zhong, Huan Ji, Yaqin Zhang, Haiyang Song, Hongming Du, Xu Ding and Heming Wu in Cell Transplantation</p
Nan Song Shuzhou gong du yi jian zheng li yu yan jiu Zheng li yu yan jiu
No full textBen shu shi dui wo she yu 1990 nian chu ban de ying yin ben "Song ren yi jian" de zheng li yu yan jiu. Gai shu shi liao feng fu, she ji zheng zhi, jing ji, jun shi yi ji Song dai gong wen ge shi he shu yi, shi zhen gui de shi wu wen xian. "Song ren yi jian" fan ying le bu shao nan Song shi qi di fang guan fu ji gou she zhi he xing zheng guan li zhi du, bu chong le xu duo Song dai cai zheng, shui shou zheng ce de xin cai liao, bao liu le nan Song chu nian Jiang Huai di qu zhan bei zhuang kuang de xi jie cai liao, hai shi Song dai wen shu zhi du de zhong yao cai liao, you zhu yu Song shi yan jiu de shen ru. Zheng li ben yan jin gui fan, ge shi ming xi, ji ben huan yuan le Song jian tu ban de ben lai mian mao, ju you jiao qiang de can kao jia zh
Chao Yuen Ren (1892–1982)
No full textY. R. Chao is easily the most famous linguist to have come out of China. Born before the end of the last dynasty in China, he received a traditional Confucian education, but was also one of the first Chinese people to be sent to the West for training in modern Western science (under the Boxer Indemnity Fund). The remarkable breadth and scope of his studies included physics, mathematics, linguistics, musical and literary composition, and translation, and he was a pioneer in many of these fields
Zuo hai quan ji /
No full textXu ji also known under title: Xiao lang huan guan cong shu (supplied in MS. in v. 1 as general title for E.A.L. set)Twenty works, all with special title pages, some with imprints, engraved 1813?-46?Caption title from general table of contents.Mode of access: Internet.E.A.L. set imperfect? General tables of contents in v. 1 and v. 21, and a biography of the author (6 leaves) in v. 1, supplied in MS
Research on the Similarities between the Plot of Ji Chun Tai and Content of Sichuan Opera
No full textJi Chun Tai is the masterpiece of Sichuan dialect on late Qing Dynasty, composed of 40 vernacular short stories. It is divided into four parts, namely, Yuan Ji, Heng Ji, Li Ji, and Zhen Ji. Each part contains ten short stories. The author of Ji Chun Tai is a literator from Zhong Jiang who failed in imperial examination System in late Qing Dynasty. There are a large number of Sichuan Opera elements in those forty vernacular short stories. Generally speaking, the plot of Ji Chun Tai is full of ups and downs, together with relatively concentrated conflicts, which reflects the characteristics of Sichuan opera. Besides, the thought of persuasion and punishment, strong superstitious color, and detective story in Ji Chui Tai are combined together to reflect the characteristics of Sichuan Opera
Unkei and the Statues in Joraku-ji
No full textJōraku-ji Temple at Ashina, Zushi in Kanagawa Prefecture owns five old Buddhist statues, namely the Amida (Amitabha) Triad, Bishamon Ten (Vaisravana) and Fudō Myōō (Acala), which were registered in 1926 as Important Cultural Properties. We made researches on these statues on April 20, 1959, when we discovered, from the inside of the statue of Bishamon Ten, a tablet with inscription stating that it was carved in 1189 by Unkei and his ten assistants.
The tablet, 71.5cm. in height and having a long handle in shape of a lotus stalk, has a circle and lotus petals below it drawn in black ink, with the Sanskrit monogram representing Tamon Ten inscribed within the circle. A dharani (magic formula) in Sanskrit is inscribed from its obverse surface through sides to reverse surface, and the reverse side has an inscription to the following effect : “This statue was made on March 20, 1189, at the behest of Taira-no-Yoshimori, by Unkei, the Dai Busshi (Major Sculptor) with the ecclesiastic rank of Kōtō in the Shōō-in Monastery at Kōfuku-ji, assisted by ten minor sculptors. This inscription was written by the priest Jinsai Jōkabō.”
Both from the calligraphic and literary styles of the inscription, the tablet is evidently datable to somewehere around 1189. This does not necessarily mean that the tablet was prepared for the present statue. The tablets discovered from inside the statues of Bishamon Ten and Fudō Myōō in Ganjōju-in Temple in Shizuoka, with inscriptions containing the name of Unkei and dates of 1186, were approximately similar in the style of narration to that of Jōraku-ji, but at the time of their registration as National Treasures it was judged that the tablets were original but the statues were of a later period. It is hardly believable, however, that such an exceptional case, that statues are later and the tablets placed inside alone are old, should have occured two times with Unkei. Moreover, the Bishamon Ten at Jōraku-ji clearly shows the style of the Early Kamakura Period. The author believes that the tablet under discussion has always belonged to the present statue.
The Amida Triad in the same temple also is inscribed on the inside with the same dharani as the one found on the tablet for the Bishamon Ten. The inscription is obviously by the same hand as the Bishamon Ten tablet. It can be asserted with considerable accuracy that the triad as well as the Fudō Myōō in Jōraku-ji were also carved by Unkei in 1189. The discovery of the tablet, thus, has added as many as five specimens to less than ten statues which have heretofore been known as genuine works of Unkei. The author furthermore suggests that the Amida, Bishamon Ten and Fudō Myōō in Ganjōju-in, from the last two of which were discovered the tablets dated 1186, can possibly be also by Unkei. He discusses also about the Eight Messengers of Fudō in the Fudō-dō Hall at Kōyasan, Wakayama, as follows. Six of the Eight Messengers are attributed in an old record to Unkei, but many scholars have been sceptial about this attribution. The author and his colleagues made X-ray examination of the statues some years ago and found that they contained discs on lotus pedestals which were similar in form to that drawn on the tablet of Bishamon Ten in Jōraku-ji. He thinks that the Eight Messengers at Kōyasan have to be re-studied.
It has not been known when Unkei was conferred with the title Dai Busshi. The tablets in Jōraku-ji and Ganjōju-in prove that it was between May 3, 1186 and March 20, 1189. The Jōraku-ji tablet, especially, is an important source of information concerning the connection Unkei had with Kōfuku-ji Temple in Nara.journal articl
TERJEMAHAN CERITA ANAK USHIKATA TO YAMANBA KARYA TSUBOTA J�JI
No full textThis final assignment is a translation of children literature work entitled
Ushikata to Yamanba by Tsubota J�ji. This story tells about an oxdriver who has
to escape from Yamanba, a female demon who has magical power.
The author is interested in choosing the translation as the topic of the
assignment because the author wants to apply the materials which have been
studied throughout the course. Therefore, the author translates a children literature
work from Japanese to Indonesian.
In the translation process, the author uses word by word translation method
and communicative method. Word by word method is used at the first translation
process to understand the grammar and interpret the difficult text. Communicative
method is used because this method is applied to maintain the equivalent
contextual meaning from the source language,therefore, the readers are able to
understand the message in the target language.
Difficulty in the translation process experienced by the author is there are
many words written in hiragana. Hence the author has a problem in finding the
meaning. The author solves the problem by using kanji dictionary application.
The other difficulty is adjusting the word�s equivalent from Japanese to
Indonesian. The author looks in for many references such as translated story,
Kamus Besar Bahasa Indonesia and applies suggestion from the supervisor to
solve the problem.
This story, Ushikata to Yamanba by TsubotaJ�ji, has a moral value which
tells the readers whenever we face a trouble and get an opportunity, we must use
it wisely and do not waste it
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