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Q&A: First-hand perspectives as a member of the BMC Medicine Editorial Board scheme: an interview with Matthew Quaife and Shuai Li

Matthew Quaife, Shuai Li
<span title="2021-10-04">2021</span> <i title="Springer (Biomed Central Ltd.)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ycxb7r3c2zg4jejs6bezyrefhe" style="color: black;">BMC Medicine</a> </i> &nbsp;
Shuai Li is a Victorian Cancer Agency Early Career Research Fellow at the Centre for Epidemiology and Biostatistics at the University of Melbourne, Australia.  ...  Quaife and Li are both recent members of the editorial board scheme for BMC Medicine, which involves working closely with our in-house editors to ensure that all manuscripts are subject to the same editorial  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12916-021-02102-5">doi:10.1186/s12916-021-02102-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34602050">pmid:34602050</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rcrshspahnawza4dcctx3pg4sq">fatcat:rcrshspahnawza4dcctx3pg4sq</a> </span>
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Improved Algorithm on Online Clustering of Bandits [article]

Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
<span title="2019-07-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
[Li et al., 2016a] Shuai Li, Alexandros Karatzoglou, and Claudio Gentile. Collaborative filtering bandits.  ...  Li, 2019] Shuai Li. Online clustering of contextual cascading bandits. arXiv preprint arXiv:1711.08594v2, 2019.  ...  By [Li, 2019, Lemma 8] , the condition on T i,τ holds when τ ≥ 16 pi ln T δ4 + 4 pi B(δ 3 ) =: τ 2 (p i , δ 3 , δ 4 ) with probability at least 1 − δ 4 . Replace δ 3 , δ 4 by δ 3 /n u , δ 4 /n u .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.09162v2">arXiv:1902.09162v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/owpw5gjzuzgkxbemk46sin55ri">fatcat:owpw5gjzuzgkxbemk46sin55ri</a> </span>
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Acoustic emission signal source localization on plywood surface with cross-correlation method

Yang Li, Shuai-Shuai Yu, Li Dai, Ting-Fang Luo, Ming Li
<span title="2018-01-05">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j7eqkhe3h5dfvpotj7gty3buci" style="color: black;">Journal of Wood Science</a> </i> &nbsp;
The high-speed data acquisition equipment which is based on NI and LabVIEW software was used to establish the acoustic emission (AE) signal collection platform, and adopted wavelet analysis method to extract the weak of AE signal waveform from noise, aiming at the localization of AE source on plywood surface. The signal cross-correlation analysis method is used to determine the time difference between the AE signals and the different sensors,so that further calculates the average propagation
more &raquo; ... ed of AE signal on the plywood surface. A kind of AE signal source localization method which is based on the cross-correlation method was proposed according to the principle of geometric positioning, and verified by means of the testing experiment which selected the lead break to simulate AE source. This paper has shown that wavelet analysis can effectively extract AE signal waveform, and the localization method based on cross-correlation principle can precisely calibrate the position of AE signal source.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10086-017-1672-x">doi:10.1007/s10086-017-1672-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cxwqfponmrezxj6txpoymuyesu">fatcat:cxwqfponmrezxj6txpoymuyesu</a> </span>
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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction

Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif, Min Xia
<span title="2021-04-02">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y3fh56bfunh5fgneywwba6d4ke" style="color: black;">Complexity</a> </i> &nbsp;
and backpropagation algorithms are used to modify the network connection parameters, and then, the objective function is minimized. e source code of our model is available online (https://github.com/li-neu  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6692313">doi:10.1155/2021/6692313</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/czjc7nfi6bakdlh3zdvcnbc6a4">fatcat:czjc7nfi6bakdlh3zdvcnbc6a4</a> </span>
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Foreground Detection in Camouflaged Scenes [article]

Shuai Li, Dinei Florencio, Yaqin Zhao, Chris Cook, Wanqing Li
<span title="2017-07-11">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A pixel-based adaptive method which, instead of using the distribution of pixels, uses a history of recently observed pixels for background Shuai Li is partially supported by the Global Challenge Project  ...  weight in (4), we can obtain the final decision for each pixel using a weighted voting strategy as V = N i=1 ωni · ωci · (ωtW i · VW i + ωtLi · VLi) F = 1, if V > TV ; 0, otherwise (5) where V W i and V Li  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.03166v1">arXiv:1707.03166v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5gp7jfm3gnc5lmuuodcd3j55ni">fatcat:5gp7jfm3gnc5lmuuodcd3j55ni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200914033143/https://arxiv.org/pdf/1707.03166v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/cb/20cb33e24df53ab7c1a3ab301b60d417711273f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.03166v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Improved Algorithm on Online Clustering of Bandits

Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
<span title="">2019</span> <i title="International Joint Conferences on Artificial Intelligence Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfwwmrihanevtjbbkti2kc3nke" style="color: black;">Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence</a> </i> &nbsp;
There are two main challenges in the existing works on online clustering of bandits [Gentile et al., 2014; Li et al., 2016; Korda et al., 2016; Gentile et al., 2017; Li, 2016] .  ...  ., 2014; Li et al., 2016] start to bring these useful techniques to bandit algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2019/405">doi:10.24963/ijcai.2019/405</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcai/0010C0L19.html">dblp:conf/ijcai/0010C0L19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/76kkplmoifh2bn6eb4n67ve6ta">fatcat:76kkplmoifh2bn6eb4n67ve6ta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200108153242/https://www.microsoft.com/en-us/research/uploads/prod/2019/07/ijcai19_clusteringBandit.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/24/9324a6edeaeb7a1b03d36a70211871e550166b2a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2019/405"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

X-duplex Relaying: Adaptive Antenna Configuration [article]

Shuai Li, Mingxin Zhou, Jianjun Wu, Lingyang Song, Yonghui Li, and Hongbin Li
<span title="2017-01-25">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this letter, we propose a joint transmission mode and transmit/receive (Tx/Rx) antenna configuration scheme referred to as X-duplex in the relay network with one source, one amplify-and-forward (AF) relay and one destination. The relay is equipped with two antennas, each of which is capable of reception and transmission. In the proposed scheme, the relay adaptively selects its Tx and Rx antenna, operating in either full-duplex (FD) or half-duplex (HD) mode. The proposed scheme is based on
more &raquo; ... imizing the symbol error rate (SER) of the relay system. The asymptotic expressions of the cumulative distribution function (CDF) for the end-to-end signal to interference plus noise ratio (SINR), average SER and diversity order are derived and validated by simulations. Results show that the X-duplex scheme achieves additional spatial diversity, significantly reduces the performance floor at high SNR and improves the system performance.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.07168v1">arXiv:1701.07168v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/stbnlhnykrbj7ceajbjor4zhwu">fatcat:stbnlhnykrbj7ceajbjor4zhwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200823050856/https://arxiv.org/pdf/1701.07168v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ec/21/ec212ca562fce43fa2a148c5829abce63744aba4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.07168v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Pitch imperfect

Shuai Li
<span title="2018-05-10">2018</span> <i title="American Association for the Advancement of Science (AAAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qirzh7firjdsjhg4tutxtir6ey" style="color: black;">Science</a> </i> &nbsp;
Shuai Li DOI: 10.1126/science.360.6389.678 (6389), 678. 360 Science  ...  Get comfortable with discomfort and start using English to tell your story. j Shuai Li is a postdoctoral fellow at Washington State University in Pullman and will move to the Mayo Clinic in Rochester  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1126/science.360.6389.678">doi:10.1126/science.360.6389.678</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29748287">pmid:29748287</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2bfbuasonbcrtd6htq7v6tjiwy">fatcat:2bfbuasonbcrtd6htq7v6tjiwy</a> </span>
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On the Performance of X-Duplex Relaying [article]

Shuai Li, Mingxin Zhou, Jianjun Wu, Lingyang Song, Yonghui Li, Hongbin Li
<span title="2017-01-20">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we study a X-duplex relay system with one source, one amplify-and-forward (AF) relay and one destination, where the relay is equipped with a shared antenna and two radio frequency (RF) chains used for transmission or reception. X-duplex relay can adaptively configure the connection between its RF chains and antenna to operate in either HD or FD mode, according to the instantaneous channel conditions. We first derive the distribution of the signal to interference plus noise ratio
more &raquo; ... SINR), based on which we then analyze the outage probability, average symbol error rate (SER), and average sum rate. We also investigate the X-duplex relay with power allocation and derive the lower bound and upper bound of the corresponding outage probability. Both analytical and simulated results show that the X-duplex relay achieves a better performance over pure FD and HD schemes in terms of SER, outage probability and average sum rate, and the performance floor caused by the residual self interference can be eliminated using flexible RF chain configurations.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.05740v1">arXiv:1701.05740v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/agjitbouqrbh7nylovi5ajay7y">fatcat:agjitbouqrbh7nylovi5ajay7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827163711/https://arxiv.org/pdf/1701.05740v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7d/1e/7d1e80038805b21d70a22db660e019a91e7441bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.05740v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Towards Reliable Automatic Protein Structure Alignment [article]

Xuefeng Cui, Shuai Cheng Li, Dongbo Bu, Ming Li
<span title="2013-07-30">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A variety of methods have been proposed for structure similarity calculation, which are called structure alignment or superposition. One major shortcoming in current structure alignment algorithms is in their inherent design, which is based on local structure similarity. In this work, we propose a method to incorporate global information in obtaining optimal alignments and superpositions. Our method, when applied to optimizing the TM-score and the GDT score, produces significantly better
more &raquo; ... than current state-of-the-art protein structure alignment tools. Specifically, if the highest TM-score found by TMalign is lower than (0.6) and the highest TM-score found by one of the tested methods is higher than (0.5), there is a probability of (42%) that TMalign failed to find TM-scores higher than (0.5), while the same probability is reduced to (2%) if our method is used. This could significantly improve the accuracy of fold detection if the cutoff TM-score of (0.5) is used. In addition, existing structure alignment algorithms focus on structure similarity alone and simply ignore other important similarities, such as sequence similarity. Our approach has the capacity to incorporate multiple similarities into the scoring function. Results show that sequence similarity aids in finding high quality protein structure alignments that are more consistent with eye-examined alignments in HOMSTRAD. Even when structure similarity itself fails to find alignments with any consistency with eye-examined alignments, our method remains capable of finding alignments highly similar to, or even identical to, eye-examined alignments.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1307.7798v1">arXiv:1307.7798v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oday7rovpzadlhleyxx7netmoi">fatcat:oday7rovpzadlhleyxx7netmoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905222222/https://arxiv.org/pdf/1307.7798v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/c0/17c0eb5a91c98016570a89eb5ea3ef24d49e9a5e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1307.7798v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

MUSE2020 challenge report [article]

Ruichen Li, JingWen Hu, Shuai Guo, Jinming Zhao
<span title="2020-07-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
, Jingwen Hu, Shuai Guo, and Jinming Zhao  ...  vggface 0.2996 0.0852 bert_base 0.1643 0.3131 Multi-modal lld-bert-glove 0.3378 0.3447 wav2vec-bert_base-glove 0.3440 0.3556 lld- Conference'17, July 2017, Washington, DC, USA Ruichen Li  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.14059v1">arXiv:2009.14059v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dsjbkvo5cbcx7a2ul2jcex7lmm">fatcat:dsjbkvo5cbcx7a2ul2jcex7lmm</a> </span>
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3000943.pdf

Ayan Sinha, Justin Lee, Shuai Li, George Barbastathis
<span title="2017-08-24">2017</span> <i title="Figshare"> Figshare </i> &nbsp;
Revised Supplement
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.5342530">doi:10.6084/m9.figshare.5342530</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ew3rkllv35bxblwoi7y4mbutem">fatcat:ew3rkllv35bxblwoi7y4mbutem</a> </span>
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Incentivizing an Unknown Crowd [article]

Jing Dong, Shuai Li, Baoxiang Wang
<span title="2021-09-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Motivated by the common strategic activities in crowdsourcing labeling, we study the problem of sequential eliciting information without verification (EIWV) for workers with a heterogeneous and unknown crowd. We propose a reinforcement learning-based approach that is effective against a wide range of settings including potential irrationality and collusion among workers. With the aid of a costly oracle and the inference method, our approach dynamically decides the oracle calls and gains
more &raquo; ... ss even under the presence of frequent collusion activities. Extensive experiments show the advantage of our approach. Our results also present the first comprehensive experiments of EIWV on large-scale real datasets and the first thorough study of the effects of environmental variables.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.04226v1">arXiv:2109.04226v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bvu6ji2w4bealkpgeumwgwtg5y">fatcat:bvu6ji2w4bealkpgeumwgwtg5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210915115801/https://arxiv.org/pdf/2109.04226v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/ac/2dac8d70182fcdbba8a547692aeb3ff78dd18ebf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.04226v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Noncoherent Detection With Polar Codes

Chaofan Chen, Li Li, Li Wang, Shuai Wang, Xiangming Li, George K. Karagiannidis
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
LI LI received the Ph.D. degree from the Southampton Wireless Group, School of Electronics and Computer Science, University of Southampton, in 2013.  ...  Upon his significant contributions in this field, he was a recipient of the Huawei Individual Contribution Award, in 2015, and the Furture Star Award, in 2017.SHUAI WANGreceived the B.Eng. degree (Hons  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2889498">doi:10.1109/access.2018.2889498</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bo2s252iyfd4zf6xme2xy3uwsq">fatcat:bo2s252iyfd4zf6xme2xy3uwsq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108170558/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08589036.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7a/71/7a7182ce4933f39c2266ae556e9c16b95900e31e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2889498"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Structural basis for activity regulation of MLL family methyltransferases

Yanjing Li, Jianming Han, Yuebin Zhang, Fang Cao, Zhijun Liu, Shuai Li, Jian Wu, Chunyi Hu, Yan Wang, Jin Shuai, Juan Chen, Liaoran Cao (+8 others)
<span title="">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/drfdii35rzaibj3aml5uhvr5xm" style="color: black;">Nature</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/nature16952">doi:10.1038/nature16952</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26886794">pmid:26886794</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5125619/">pmcid:PMC5125619</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/so3yhya6sbfdnaumrnjxucxati">fatcat:so3yhya6sbfdnaumrnjxucxati</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506131250/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5125619&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/20/0f2098927e3afb238e5ed661eba120b85da2697d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/nature16952"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> nature.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5125619" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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