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Songs Yet to Be Sung: Walt Whitman and Taiwan's Yu Kwang-Chung

Hsinmei Lin
2015 Walt Whitman quarterly review  
This is indeed a cogent indication of how Whitman's songs of the self began to be sung in the East, in the modern period of Taiwan, through the "songs" of Yu.  ...  144 SONGS YET TO BE SUNG: WALT WHITMAN AND TAIWAN'S YU KWANG-CHUNG Hsinmei Lin WHiLe tHere are CHinese 1 poets who have been influenced by Walt Whitman's work, a strong Whitmanian voice has yet to  ... 
doi:10.13008/0737-0679.2153 fatcat:kgzac6nwlzdjzlupl663ino35q

THE VERBAL COMPONENT OF SYNTHETIC LINGUAL PERSONALITY: AUTHOR'S NEOLOGISMS(on the material of the rock song "Perestroishche" by Yu. Shevchuk)

D I Ivanov
2015 Russian Language Studies  
THE VERBAL COMPONENT OF SYNTHETIC LINGUAL PERSONALITY: AUTHOR'S NEOLOGISMS (on the material of the rock song "Perestroishche" by Yu. Shevchuk) D.I.  ... 
doaj:f56e53b3eb71452c8f826856671f3bb4 fatcat:54adyssle5aerhegybtcap6bcq

Qingtong qi yu Songdai wenhua shi 青銅器與宋代文化史 [Bronze Vessels and Song Dynasty Cultural History], written by Chen Fangmei 陳芳妹

Ronald Egan, Xueyi Zhao
2020 Journal of Chinese Humanities  
Each paper explains why these vessels from the three ancient dynasties had a new life in the Song and what meaning their rebirth had in Song cultural history.  ...  Consequently, in addition to examining archaeological materials and Song writings concerning them, Chen reconstructs the historical setting of bronze vessel revivalism during the Song, as it existed in  ...  Zhongyang meishu xueyuan, 2009); Guo Yueqiong 郭月瓊, Songdai fanggu qingtongqi yan- jiu 宋代仿古青銅器研究 (M.A. thesis, Zhongguo yishu yanjiuyuan, 2011); Shi Zhenghao 史 正浩, Songdai jinshi tupu de xingqi, yanjin yu  ... 
doi:10.1163/23521341-12340083 fatcat:sodiukw35zb7jhlm47cfiepwxe

Book Review: Yu Cheng, Lilei Song & Lihe Huang (Eds.). (2018). The Belt & Road Initiative in the Global Arena. Chinese and European Perspectives. Palgrave Macmillan, 2018, 266 p

Anatoly Vladimirovich Tsvyk
2019 Vestnik RUDN International Relations  
Chinese and European Perspectives / ed. by Yu Cheng, Lilei Song, Lihe Huang. Palgrave Macmillan, 2018. 266 p. Для цитирования: Цвык А.В.  ...  Chinese and European Perspectives / Ed. by Yu Cheng, Lilei Song, Lihe Huang. Palgrave Macmillan, 2018. 266 p. // Вестник Российского университета дружбы народов. Серия: Международные отношения. 2019.  ... 
doi:10.22363/2313-0660-2019-19-1-151-153 fatcat:i5b6ojlrajglfkv46tpo2ym6ju

Pseudo-Spherical Contrastive Divergence [article]

Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
2021 arXiv   pre-print
Energy-based models (EBMs) offer flexible distribution parametrization. However, due to the intractable partition function, they are typically trained via contrastive divergence for maximum likelihood estimation. In this paper, we propose pseudo-spherical contrastive divergence (PS-CD) to generalize maximum likelihood learning of EBMs. PS-CD is derived from the maximization of a family of strictly proper homogeneous scoring rules, which avoids the computation of the intractable partition
more » ... n and provides a generalized family of learning objectives that include contrastive divergence as a special case. Moreover, PS-CD allows us to flexibly choose various learning objectives to train EBMs without additional computational cost or variational minimax optimization. Theoretical analysis on the proposed method and extensive experiments on both synthetic data and commonly used image datasets demonstrate the effectiveness and modeling flexibility of PS-CD, as well as its robustness to data contamination, thus showing its superiority over maximum likelihood and f-EBMs.
arXiv:2111.00780v1 fatcat:tvjkv6uw7ffvpgjd3uw2lo2wv4

Autoregressive Score Matching [article]

Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 arXiv   pre-print
Autoregressive Score Matching Chenlin Meng Stanford University Lantao Yu Stanford University Yang Song Stanford University Jiaming  ...  Song 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada.  ... 
arXiv:2010.12810v1 fatcat:axo4u3wxyrcanggv35ews7apwq

Multiplex Word Embeddings for Selectional Preference Acquisition [article]

Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu
2020 arXiv   pre-print
., 2014; Song et al., 2017 Song et al., , 2018b Song and Shi, 2018) with respect to its usefulness in many downstream tasks, e.g., parsing (Chen and Manning, 2014) , machine translation (Zou * Equal  ...  For example, such embeddings Figure 1 : Illustration of the multiplex embeddings for 'sing' and 'song'.  ... 
arXiv:2001.02836v1 fatcat:dkj4sehwfbf5bldipo6suzjj4m

Neuroprotective terpenoids from the leaves of Viburnum odoratissimum

Yan Zhang, Wei-Yu Zhou, Xiao-Yu Song, Guo-Dong Yao, Shao-Jiang Song
2018 Figshare  
As a part of our ongoing search for neuroprotective compounds from natural products, two new iridoid glycosides, vibsansuspenside A-B (1-2), along with five known terpenoids (3-7), were isolated from the dry leaves of Viburnum odoratissimum. Their chemical structures were well determined by means of NMR spectroscopic data as well as HRESIMS analysis. All compounds were detected for their neuroprotective effects against H2O2-induced damage in human dopaminergic neuroblastoma cells (SH-SY5Y).
more » ... g them, compound 3 displayed the most potent neuroprotective ability, and further investigation by Annexin V/PI and Western blot analysis demonstrated that compound 3 could protect SH-SY5Y cells from oxidative damage through inhibiting cell apoptosis.
doi:10.6084/m9.figshare.7324934.v1 fatcat:g22whcljfjd3tczfwb3z2wisja

The Mappers' Torch Song

Jun Yu, Gane K.-S. Wong
1997 Genome Research  
Yu and G.K.-S. Wong, unpubl.) . The point here is not to extol the virtues of YACs or to advocate any particular method for generating a high-resolution sequence-ready map from an STScontent map.  ... 
doi:10.1101/gr.7.7.666 pmid:9253595 fatcat:azutw2zzqvclnddlzfnusfjj6y

Isobutane/2-butene alkylation catalyzed by Brønsted–Lewis acidic ionic liquids

Shiwei Liu, Shuang Tan, Bing Bian, Hailong Yu, Qiong Wu, Zhiguo Liu, Fengli Yu, Lu Li, Shitao Yu, Xiuyan Song, Zhanqian Song
2018 RSC Advances  
The alkylation reaction of isobutane with 2-butene to yield C8-alkylates was performed using Brønsted–Lewis acidic ionic liquids (ILs) comprising various metal chlorides (ZnCl2, FeCl2, FeCl3, CuCl2, CuCl, and AlCl3) on the anion.
doi:10.1039/c8ra03485k pmid:35541003 pmcid:PMC9080696 fatcat:w2ura3i5kjhf5by6fwmxrosjoy

Neural Network Based Next-Song Recommendation [article]

Kai-Chun Hsu, Szu-Yu Chou, Yi-Hsuan Yang, Tai-Shih Chi
2016 arXiv   pre-print
Then, we compare the proposed system with several NN based and classic recommendation systems on the next-song recommendation task.  ...  Inspired by natural language processing (NLP) techniques, we propose a novel neural network (NN) based next-song recommender, CNN-rec, in this paper.  ...  PROPOSED AND COMPARED METHODS 2.1 Formalization of next-song recommendation Most of next-song recommenders predict the next song for a user based on the last couple songs or one song listened by him.  ... 
arXiv:1606.07722v1 fatcat:f6kyhg2hn5ch5mrb3gvmkpfirm

Correlation between coronary artery disease and obstructive sleep apnea syndrome and analysis of risk factors

Jidong Zhang, Yu Song, Yang Ji, Yiying Song, Shanglang Cai, Yanling Yu, Song Liu, Wenzhong Zhang
2018 Experimental and Therapeutic Medicine  
The correlation between coronary artery disease (CAD) and obstructive sleep apnea syndrome (OSAS) was investigated to analyze its risk factors. A total of 84 patients with suspected CAD due to chest tightness and pain or nocturnal angina, were selected. They were admitted and received coronary angiography in The Affiliated Hospital of Medical College Qingdao University from March, 2016 to June, 2017. The vital signs were monitored, and the sleep monitoring was performed before and after
more » ... angiography. Before angiography, the fasting blood was drawn for blood biochemical detection, followed by routine electrocardiogram and echocardiographic examination. In addition, the body mass index was calculated and whether patients suffered from hypertension and diabetes mellitus was observed. The patients were divided into the control group (patients with a negative coronary angiography) and the CAD group (patients with a positive coronary angiography). There were 34 cases in the control group, including 21 cases of OSAS (61.76%), and 50 in the CAD group, including 40 cases of OSAS (80.00%). Statistical analysis revealed that there were statistically significant differences in the apnea hypopnea index (AHI), lowest oxygen saturation, degree of coronary stenosis (Gensini score) and triglyceride level between the two groups (P<0.05). There were no statistically significant differences in the cholesterol level and prevalence rates of hypertension and diabetes mellitus between the two groups. Logistic regression analysis revealed that smoking and AHI >20 were the risk factors of CAD (OR=7.036 and 5.377). Thus, CAD is closely correlated with OSAS and AHI >20 is one of the risk factors of CAD.
doi:10.3892/etm.2018.6070 pmid:29805494 pmcid:PMC5958735 fatcat:eland52o7faudd33ssn4vmvbgy

Revisiting the problem of audio-based hit song prediction using convolutional neural networks [article]

Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu, Yi-Hsuan Yang, Yi-An Chen
2017 arXiv   pre-print
Being able to predict whether a song can be a hit has impor- tant applications in the music industry.  ...  we regard as internal factors) can predict song popularity is an interesting research question on its own.  ...  (MFCC) and song lyrics.  ... 
arXiv:1704.01280v1 fatcat:lbw75ce45fdh5ffclbjyll4snq

You Should Look at All Objects [article]

Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
2022 arXiv   pre-print
Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-scale objects are usually suppressed after introducing FPN. To this end, this paper first revisits FPN in the detection framework and reveals the nature of the success of FPN from the perspective of optimization. Then, we point out that the degraded performance of large-scale objects is due to the arising of improper
more » ... k-propagation paths after integrating FPN. It makes each level of the backbone network only has the ability to look at the objects within a certain scale range. Based on these analysis, two feasible strategies are proposed to enable each level of the backbone to look at all objects in the FPN-based detection frameworks. Specifically, one is to introduce auxiliary objective functions to make each backbone level directly receive the back-propagation signals of various-scale objects during training. The other is to construct the feature pyramid in a more reasonable way to avoid the irrational back-propagation paths. Extensive experiments on the COCO benchmark validate the soundness of our analysis and the effectiveness of our methods. Without bells and whistles, we demonstrate that our method achieves solid improvements (more than 2%) on various detection frameworks: one-stage, two-stage, anchor-based, anchor-free and transformer-based detectors.
arXiv:2207.07889v1 fatcat:zkwtvqx3dbg3dhtdu5ezdyqxza

Network pharmacology analysis and experimental verification reveal the mechanism of the traditional Chinese medicine YU-Pingfeng San alleviating allergic rhinitis inflammatory responses

Zhen Liu, Qi Sun, Xinyue Liu, Zheying Song, Fei Song, Congxian Lu, Yu Zhang, Xicheng Song, Yujuan Yang, Yumei Li
2022 Frontiers in Plant Science  
YU-Pingfeng San (YPFS) can regulate inflammatory response to alleviate the symptoms of nasal congestion and runny rose in allergic rhinitis (AR). However, the mechanism of action remains unclear.  ...  YPFS, YU-Pingfeng San; AR, allergic rhinitis. (TNFα), and IL-6 production (Shen et al., 2014; Liu et al., 2017) .  ...  YPFS, YU-Pingfeng San; AR, allergic rhinitis. was intragastrically administrated into mice in the OVA-induced AR group.  ... 
doi:10.3389/fpls.2022.934130 fatcat:k46zc6b3nbanlddjybxn2wofpm
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