30,828 Hits in 2.9 sec

Losigamone add-on therapy for partial epilepsy

Yousheng Xiao, Man Luo, Jin Wang, Hongye Luo
2015 The Cochrane library  
doi:10.1002/14651858.cd009324.pub3 pmid:26661741 fatcat:bj7ga3em7zcujhrrdhyu4gjhym

Efficiently repairing algebraic geometry codes [article]

Lingfei Jin, Yuan Luo, Chaoping Xing
2017 arXiv   pre-print
Minimum storage regenerating codes have minimum storage of data in each node and therefore are maximal distance separable (MDS for short) codes. Thus, the number of nodes is upper bounded by 2^, where is the bits of data stored in each node. From both theoretical and practical points of view (see the details in Section 1), it is natural to consider regenerating codes that nearly have minimum storage of data, and meanwhile the number of nodes is unbounded. One of the candidates for such
more » ... ing codes is an algebraic geometry code. In this paper, we generalize the repairing algorithm of Reed-Solomon codes given in [STOC2016]GW16 to algebraic geometry codes and present an efficient repairing algorithm for arbitrary one-point algebraic geometry codes. By applying our repairing algorithm to the one-point algebraic geometry codes based on the Garcia-Stichtenoth tower, one can repair a code of rate 1- and length n over _q with bandwidth (n-1)(1-) q for any =2^(-1/2) q with a real τ∈(0,1/2). In addition, storage in each node for an algebraic geometry code is close to the minimum storage. Due to nice structures of Hermitian curves, repairing of Hermitian codes is also investigated. As a result, we are able to show that algebraic geometry codes are regenerating codes with good parameters. An example reveals that Hermitian codes outperform Reed-Solomon codes for certain parameters.
arXiv:1710.01874v1 fatcat:ipbymmf26rdvxkjyspfexaj44u

Context-Aware Graph Attention Networks [article]

Bo Jiang, Leiling Wang, Jin Tang, Bin Luo
2019 arXiv   pre-print
Graph Neural Networks (GNNs) have been widely studied for graph data representation and learning. However, existing GNNs generally conduct context-aware learning on node feature representation only which usually ignores the learning of edge (weight) representation. In this paper, we propose a novel unified GNN model, named Context-aware Adaptive Graph Attention Network (CaGAT). CaGAT aims to learn a context-aware attention representation for each graph edge by further exploiting the context
more » ... tionships among different edges. In particular, CaGAT conducts context-aware learning on both node feature representation and edge (weight) representation simultaneously and cooperatively in a unified manner which can boost their respective performance in network training. We apply CaGAT on semi-supervised learning tasks. Promising experimental results on several benchmark datasets demonstrate the effectiveness and benefits of CaGAT.
arXiv:1910.01736v1 fatcat:4g6t2tprananfh7k4dfjrxh7ze

Whole-Body Human Pose Estimation in the Wild [article]

Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo
2020 arXiv   pre-print
The dataset is publicly available at  ...  Jin, S., Liu, W., Ouyang, W., Qian, C.: Multi-person articulated tracking with spatial and temporal embeddings.  ...  Jin, S., Ma, X., Han, Z., Wu, Y., Yang, W., Liu, W., Qian, C., Ouyang, W.: Towards multi-person pose tracking: Bottom-up and top-down methods.  ... 
arXiv:2007.11858v1 fatcat:rwjd2cwbovhgvd5ifz3cqw2ihy

Individual Differences in Detecting Rapidly Presented Fearful Faces

Dandan Zhang, Lili Wang, Yi Luo, Yuejia Luo, Hong-jin Sun
2012 PLoS ONE  
Rapid detection of evolutionarily relevant threats (e.g., fearful faces) is important for human survival. The ability to rapidly detect fearful faces exhibits high variability across individuals. The present study aimed to investigate the relationship between behavioral detection ability and brain activity, using both event-related potential (ERP) and event-related oscillation (ERO) measurements. Faces with fearful or neutral facial expressions were presented for 17 ms or 200 ms in a backward
more » ... sking paradigm. Forty-two participants were required to discriminate facial expressions of the masked faces. The behavioral sensitivity index d' showed that the detection ability to rapidly presented and masked fearful faces varied across participants. The ANOVA analyses showed that the facial expression, hemisphere, and presentation duration affected the grand-mean ERP (N1, P1, and N170) and ERO (below 20 Hz and lasted from 100 ms to 250 ms post-stimulus, mainly in theta band) brain activity. More importantly, the overall detection ability of 42 subjects was significantly correlated with the emotion effect (i.e., fearful vs. neutral) on ERP (r = 0.403) and ERO (r = 0.552) measurements. A higher d' value was corresponding to a larger size of the emotional effect (i.e., fearful -neutral) of N170 amplitude and a larger size of the emotional effect of the specific ERO spectral power at the right hemisphere. The present results suggested a close link between behavioral detection ability and the N170 amplitude as well as the ERO spectral power below 20 Hz in individuals. The emotional effect size between fearful and neutral faces in brain activity may reflect the level of conscious awareness of fearful faces.
doi:10.1371/journal.pone.0049517 pmid:23166693 pmcid:PMC3498139 fatcat:qfg3usdgybczficv7g7wtxmgiu

Multiple Graph Adversarial Learning [article]

Bo Jiang and Ziyan Zhang and Jin Tang and Bin Luo
2019 arXiv   pre-print
Recently, Graph Convolutional Networks (GCNs) have been widely studied for graph-structured data representation and learning. However, in many real applications, data are coming with multiple graphs, and it is non-trivial to adapt GCNs to deal with data representation with multiple graph structures. One main challenge for multi-graph representation is how to exploit both structure information of each individual graph and correlation information across multiple graphs simultaneously. In this
more » ... r, we propose a novel Multiple Graph Adversarial Learning (MGAL) framework for multi-graph representation and learning. MGAL aims to learn an optimal structure-invariant and consistent representation for multiple graphs in a common subspace via a novel adversarial learning framework, which thus incorporates both structure information of intra-graph and correlation information of inter-graphs simultaneously. Based on MGAL, we then provide a unified network for semi-supervised learning task. Promising experimental results demonstrate the effectiveness of MGAL model.
arXiv:1901.07439v1 fatcat:r6ujhuegtnbotgrqnka5w2lvie

Network Global Testing by Counting Graphlets [article]

Jiashun Jin, Zheng Tracy Ke, Shengming Luo
2018 arXiv   pre-print
By (17) of (Jin et al., 2018b) , L 2 = 1 B n,3 K k=1 λ 2 k (η, ξ k ) 2 + O( θ 2 1 θ 4 4 θ −2 ) , where by Lemma 6.1 of (Jin et al., 2018b) , K k=1 λ 2 k (η, ξ k ) 2 θ 2 θ 2 1 .  ...  First, by Lemma 6.1 of (Jin et al., 2018b) , K k=1 λ 4 k θ 8 , Second, by (7) of (Jin et al., 2018b) , θ max ≤ θ 3 → 0, so it is seem θ 4 4 ≤ θ max θ 3 3 ≤ o(1), and so θ 4 4 θ 4 ≤ o(θ 4 ).  ... 
arXiv:1807.08440v1 fatcat:3gj2e5itardizc7ghv4nfzoq7q

Annotated Translation of Four Early Commentaries on "Jin Ping Mei"

Junjie Luo
2013 Asian Literature and Translation  
Jin Ping Mei has received a great deal of critical attention.  ...  When they read Jin Ping Mei, people today look at the overt instead of the hidden, 15 The Sequel to Jin Ping Mei is a novel written by Ding Yaokang 12 understand books.  ... 
doi:10.18573/j.2013.10201 fatcat:gpfcqfduk5fevp3jwee5hmr2yi

Sustainable Renovation And Restoration Of The Rural Based On The View Point Of Psychology

Luo Jin, Jin Fang
2015 Zenodo  
Jin, Jin Fang T World Academy of Science, Engineering and Technology International Journal of Civil and Environmental Engineering Vol:9, No:10, 2015 1340 International Scholarly and Scientific  ...  Sustainable Renovation and Restoration of the Rural Based on the View Point of Psychology International Science Index, Civil and Environmental Engineering Vol:9, No:10, 2015 Luo  ... 
doi:10.5281/zenodo.1109839 fatcat:emu46t2bmrb4ll2snzym3wv4de

The hidden Olympic spectator

Shu-Jin Luo, Jennifer Sills
2021 Science  
Shu-Jin Luo The Court has already issued a preliminary injunction in favor of the BFPO (12), recognizing the existence of illegal deforestation and embargoing the sale of cattle raised in the area.  ...  Email: 10.1126/science.abl3669 PHOTO: SHU-JIN LUO/PKU & DA-ZHAO SONG/CFCA Call for submissions Life in Science is an occasional feature highlighting some of the humorous or  ... 
doi:10.1126/science.abl3669 pmid:34437113 fatcat:3tb4nodjxbgvtcewntzk5kbzpe

Image Captioning with Semantic Attention [article]

Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, Jiebo Luo
2016 arXiv   pre-print
Automatically generating a natural language description of an image has attracted interests recently both because of its importance in practical applications and because it connects two major artificial intelligence fields: computer vision and natural language processing. Existing approaches are either top-down, which start from a gist of an image and convert it into words, or bottom-up, which come up with words describing various aspects of an image and then combine them. In this paper, we
more » ... ose a new algorithm that combines both approaches through a model of semantic attention. Our algorithm learns to selectively attend to semantic concept proposals and fuse them into hidden states and outputs of recurrent neural networks. The selection and fusion form a feedback connecting the top-down and bottom-up computation. We evaluate our algorithm on two public benchmarks: Microsoft COCO and Flickr30K. Experimental results show that our algorithm significantly outperforms the state-of-the-art approaches consistently across different evaluation metrics.
arXiv:1603.03925v1 fatcat:rzbrc2lw2fgb3l5nrglfvn4n5e

Pedestrian Attribute Recognition: A Survey [article]

Xiao Wang, Shaofei Zheng, Rui Yang, Bin Luo, Jin Tang
2019 arXiv   pre-print
PLACE PHOTO HERE Jin Tang received the B.Eng. Degree in automation and the Ph.D. degree in computer science from Anhui University, Hefei, China, in 1999 and 2007, respectively.  ...  PLACE PHOTO HERE Bin Luo received the B.Eng. degree in electronics and the M.Eng. degree in computer science from Anhui University, Hefei, China, in 1984 and 1991, respectively, and the Ph.D. degree in  ... 
arXiv:1901.07474v1 fatcat:h5krexsotbecvlwi2w4uw2y3ay

Abnormal Development ofHaemaphysalis qinghaiensis(Acari: Ixodidae)

Qiaoyun Ren, Ze Chen, Jin Luo, Guangyuan Liu, Guiquan Guan, Hong Yin, Jianxun Luo
2016 Journal of Insect Science  
A single Haemaphysalis qinghaiensis specimen exhibiting abnormal morphology was collected from a tick laboratory colony. The tick had a heart-shaped body with partial twinning of the posterior region (with two anal orifices and two genital grooves). To the best of our knowledge, this is the first report of teratological changes in H. qinghaiensis. The abnormal morphological features are described herein.
doi:10.1093/jisesa/iew026 pmid:28076284 fatcat:k6zjcfp655ektmjwly6soui2w4

Epilepsy in Elderly

Jin Jun Luo Qing Zhao
2014 Brain Disorders & Therapy  
Brain Disorders and Therapy Zhao and Luo, Brain Disord Ther 2014, 3:1 http://dx.  ... 
doi:10.4172/2168-975x.1000115 fatcat:qo4khisdlfamfbi4bjvhbus3ma

Multidisciplinary team meeting before therapeutic ERCP: A prospective study with 1,909 cases

Zhuan Liao, Liang-Hao Hu, Zhao-Shen Li, Chang-Jing Chang-Jing, Li Wang, Gang Jin, Duo-Wu Zou, Zhen-Dong Jin, Shu-De Li, Feng Liu, Jie Chen, Xian-Bao Zhan (+3 others)
2011 Journal of Interventional Gastroenterology  
Objective: To determine the effect of multidisciplinary team meeting (MDTM) on the success rate and complications of therapeutic endoscopic retrograde cholangiopancreatography (ERCP) for hepato-pancreato-biliary diseases. Methods: All patients undergoing their first therapeutic ERCP over a 21-month period of time in a tertiary care medical center were included. Generally, patients scheduled for ERCP on Friday, Saturday, Sunday, and Monday were subject to MDTM group, and those on Tuesday,
more » ... ay, and Thursday were allocated to the control group. For each MDTM case, an MDTM was held on the Tuesday prior to the scheduled ERCP. At the meeting, the cases were discussed by a team consisting of chief physicians, radiologists, endoscopists, anesthetists, and surgeons, and a decision was made on the schedule of ERCP. For control cases, a clinical team of one chief physician and two attending physicians made the decision. Results: From April 2006 to December 2007, 912 and 997 ERCP procedures were allocated to the MDTM and control groups, respectively. There was no significant difference in the baseline characteristics and indications between the two groups. Although the success rates were not significantly different between MDTM and control groups (82.9% vs. 84.8%, P=0.321), MDTM was significantly associated with a decreased overall complication rate of (6.9% vs. 12.0%, p<0.001) and severe complication rate (0.4% vs. 2.5%, p=0.035). Conclusions: Pre-ERCP MDTM decreases the frequency and severity of ERCP-related complications, with similar success rate, compared to routine practice.
doi:10.4161/jig.1.2.15047 pmid:21776428 pmcid:PMC3136856 fatcat:qt7qmhbmbzbf3on3w547eqf42i
« Previous Showing results 1 — 15 out of 30,828 results