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Losigamone add-on therapy for partial epilepsy
2015
The Cochrane library
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Efficiently repairing algebraic geometry codes
[article]
2017
arXiv
pre-print
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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
arXiv:1710.01874v1
fatcat:ipbymmf26rdvxkjyspfexaj44u
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... 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.
Context-Aware Graph Attention Networks
[article]
2019
arXiv
pre-print
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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
arXiv:1910.01736v1
fatcat:4g6t2tprananfh7k4dfjrxh7ze
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... 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.
Whole-Body Human Pose Estimation in the Wild
[article]
2020
arXiv
pre-print
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The dataset is publicly available at https://github.com/jin-s13/COCO-WholeBody. ...
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
2012
PLoS ONE
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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
doi:10.1371/journal.pone.0049517
pmid:23166693
pmcid:PMC3498139
fatcat:qfg3usdgybczficv7g7wtxmgiu
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... 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.
Multiple Graph Adversarial Learning
[article]
2019
arXiv
pre-print
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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
arXiv:1901.07439v1
fatcat:r6ujhuegtnbotgrqnka5w2lvie
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... 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.
Network Global Testing by Counting Graphlets
[article]
2018
arXiv
pre-print
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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"
2013
Asian Literature and Translation
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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
2015
Zenodo
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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 waset.org/Publication/10002812 Luo ...
doi:10.5281/zenodo.1109839
fatcat:emu46t2bmrb4ll2snzym3wv4de
The hidden Olympic spectator
2021
Science
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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: luo.shujin@pku.edu.cn 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]
2016
arXiv
pre-print
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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
arXiv:1603.03925v1
fatcat:rzbrc2lw2fgb3l5nrglfvn4n5e
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... 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.
Pedestrian Attribute Recognition: A Survey
[article]
2019
arXiv
pre-print
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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)
2016
Journal of Insect Science
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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
2014
Brain Disorders & Therapy
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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
2011
Journal of Interventional Gastroenterology
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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,
doi:10.4161/jig.1.2.15047
pmid:21776428
pmcid:PMC3136856
fatcat:qt7qmhbmbzbf3on3w547eqf42i
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... 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.
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