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Article ; Online: High-Q metasurface signal isolator for 1.5T surface coil magnetic resonance imaging on the go.

Ren, Qun / Lang, Yuxin / Jia, Yuqi / Xiao, Xia / Liu, Yu / Kong, Xiangzheng / Jin, Ruiqi / He, Yuqing / Zhang, Jianan / You, Jian Wei / Sha, Wei E I / Pang, Yanwei

Optics express

2024 Volume 32, Issue 6, Page(s) 8751–8762

Abstract: ... in clinical MRI. In this paper, we propose a high-Q metasurface decoupling isolator fueled by topological LC ... metamaterial and the radio frequency (RF) surface transmitter-receiver coils. Furthermore, a high-Q metasurface ...

Abstract	The combination of surface coils and metamaterials remarkably enhance magnetic resonance imaging (MRI) performance for significant local staging flexibility. However, due to the coupling in between, impeded signal-to-noise ratio (SNR) and low-contrast resolution, further hamper the future growth in clinical MRI. In this paper, we propose a high-Q metasurface decoupling isolator fueled by topological LC loops for 1.5T surface coil MRI system, increasing the magnetic field up to fivefold at 63.8 MHz. We have employed a polarization conversion mechanism to effectively eliminate the coupling between the MRI metamaterial and the radio frequency (RF) surface transmitter-receiver coils. Furthermore, a high-Q metasurface isolator was achieved by taking advantage of bound states in the continuum (BIC) for extremely high-resolution MRI and spectroscopy. An equivalent physical model of the miniaturized metasurface design was put forward through LC circuit analysis. This study opens up a promising route for the easy-to-use and portable surface coil MRI scanners.
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.514806
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Q negatively regulates wheat salt tolerance through directly repressing the expression of TaSOS1 and reactive oxygen species scavenging genes.

Yang, Ziyi / Yang, Ruizhen / Bai, Wanqing / Chen, Wenxi / Kong, Xiuying / Zhou, Yun / Qiao, Weihua / Zhang, Yunwei / Sun, Jiaqiang

The Plant journal : for cell and molecular biology

2024

Abstract: The Q transcription factor plays important roles in improving multiple wheat domestication traits ... abiotic stress adaptation remain unclear. We found that the transcriptional expression of Q can be induced ... by NaCl and abscisic acid treatments. Using the q mutants generated by CRISPR/Cas9 and Q overexpression ...

Abstract	The Q transcription factor plays important roles in improving multiple wheat domestication traits such as spike architecture, threshability and rachis fragility. However, whether and how it regulates abiotic stress adaptation remain unclear. We found that the transcriptional expression of Q can be induced by NaCl and abscisic acid treatments. Using the q mutants generated by CRISPR/Cas9 and Q overexpression transgenic lines, we showed that the domesticated Q gene causes a penalty in wheat salt tolerance. Then, we demonstrated that Q directly represses the transcription of TaSOS1-3B and reactive oxygen species (ROS) scavenging genes to regulate Na
Language	English
Publishing date	2024-04-24
Publishing country	England
Document type	Journal Article
ZDB-ID	1088037-9
ISSN	1365-313X ; 0960-7412
ISSN (online)	1365-313X
ISSN	0960-7412
DOI	10.1111/tpj.16777
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Article ; Online: Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package.

Epifanovsky, Evgeny / Gilbert, Andrew T B / Feng, Xintian / Lee, Joonho / Mao, Yuezhi / Mardirossian, Narbe / Pokhilko, Pavel / White, Alec F / Coons, Marc P / Dempwolff, Adrian L / Gan, Zhengting / Hait, Diptarka / Horn, Paul R / Jacobson, Leif D / Kaliman, Ilya / Kussmann, Jörg / Lange, Adrian W / Lao, Ka Un / Levine, Daniel S /

Liu, Jie / McKenzie, Simon C / Morrison, Adrian F / Nanda, Kaushik D / Plasser, Felix / Rehn, Dirk R / Vidal, Marta L / You, Zhi-Qiang / Zhu, Ying / Alam, Bushra / Albrecht, Benjamin J / Aldossary, Abdulrahman / Alguire, Ethan / Andersen, Josefine H / Athavale, Vishikh / Barton, Dennis / Begam, Khadiza / Behn, Andrew / Bellonzi, Nicole / Bernard, Yves A / Berquist, Eric J / Burton, Hugh G A / Carreras, Abel / Carter-Fenk, Kevin / Chakraborty, Romit / Chien, Alan D / Closser, Kristina D / Cofer-Shabica, Vale / Dasgupta, Saswata / de Wergifosse, Marc / Deng, Jia / Diedenhofen, Michael / Do, Hainam / Ehlert, Sebastian / Fang, Po-Tung / Fatehi, Shervin / Feng, Qingguo / Friedhoff, Triet / Gayvert, James / Ge, Qinghui / Gidofalvi, Gergely / Goldey, Matthew / Gomes, Joe / González-Espinoza, Cristina E / Gulania, Sahil / Gunina, Anastasia O / Hanson-Heine, Magnus W D / Harbach, Phillip H P / Hauser, Andreas / Herbst, Michael F / Hernández Vera, Mario / Hodecker, Manuel / Holden, Zachary C / Houck, Shannon / Huang, Xunkun / Hui, Kerwin / Huynh, Bang C / Ivanov, Maxim / Jász, Ádám / Ji, Hyunjun / Jiang, Hanjie / Kaduk, Benjamin / Kähler, Sven / Khistyaev, Kirill / Kim, Jaehoon / Kis, Gergely / Klunzinger, Phil / Koczor-Benda, Zsuzsanna / Koh, Joong Hoon / Kosenkov, Dimitri / Koulias, Laura / Kowalczyk, Tim / Krauter, Caroline M / Kue, Karl / Kunitsa, Alexander / Kus, Thomas / Ladjánszki, István / Landau, Arie / Lawler, Keith V / Lefrancois, Daniel / Lehtola, Susi / Li, Run R / Li, Yi-Pei / Liang, Jiashu / Liebenthal, Marcus / Lin, Hung-Hsuan / Lin, You-Sheng / Liu, Fenglai / Liu, Kuan-Yu / Loipersberger, Matthias / Luenser, Arne / Manjanath, Aaditya / Manohar, Prashant / Mansoor, Erum / Manzer, Sam F / Mao, Shan-Ping / Marenich, Aleksandr V / Markovich, Thomas / Mason, Stephen / Maurer, Simon A / McLaughlin, Peter F / Menger, Maximilian F S J / Mewes, Jan-Michael / Mewes, Stefanie A / Morgante, Pierpaolo / Mullinax, J Wayne / Oosterbaan, Katherine J / Paran, Garrette / Paul, Alexander C / Paul, Suranjan K / Pavošević, Fabijan / Pei, Zheng / Prager, Stefan / Proynov, Emil I / Rák, Ádám / Ramos-Cordoba, Eloy / Rana, Bhaskar / Rask, Alan E / Rettig, Adam / Richard, Ryan M / Rob, Fazle / Rossomme, Elliot / Scheele, Tarek / Scheurer, Maximilian / Schneider, Matthias / Sergueev, Nickolai / Sharada, Shaama M / Skomorowski, Wojciech / Small, David W / Stein, Christopher J / Su, Yu-Chuan / Sundstrom, Eric J / Tao, Zhen / Thirman, Jonathan / Tornai, Gábor J / Tsuchimochi, Takashi / Tubman, Norm M / Veccham, Srimukh Prasad / Vydrov, Oleg / Wenzel, Jan / Witte, Jon / Yamada, Atsushi / Yao, Kun / Yeganeh, Sina / Yost, Shane R / Zech, Alexander / Zhang, Igor Ying / Zhang, Xing / Zhang, Yu / Zuev, Dmitry / Aspuru-Guzik, Alán / Bell, Alexis T / Besley, Nicholas A / Bravaya, Ksenia B / Brooks, Bernard R / Casanova, David / Chai, Jeng-Da / Coriani, Sonia / Cramer, Christopher J / Cserey, György / DePrince, A Eugene / DiStasio, Robert A / Dreuw, Andreas / Dunietz, Barry D / Furlani, Thomas R / Goddard, William A / Hammes-Schiffer, Sharon / Head-Gordon, Teresa / Hehre, Warren J / Hsu, Chao-Ping / Jagau, Thomas-C / Jung, Yousung / Klamt, Andreas / Kong, Jing / Lambrecht, Daniel S / Liang, WanZhen / Mayhall, Nicholas J / McCurdy, C William / Neaton, Jeffrey B / Ochsenfeld, Christian / Parkhill, John A / Peverati, Roberto / Rassolov, Vitaly A / Shao, Yihan / Slipchenko, Lyudmila V / Stauch, Tim / Steele, Ryan P / Subotnik, Joseph E / Thom, Alex J W / Tkatchenko, Alexandre / Truhlar, Donald G / Van Voorhis, Troy / Wesolowski, Tomasz A / Whaley, K Birgitta / Woodcock, H Lee / Zimmerman, Paul M / Faraji, Shirin / Gill, Peter M W / Head-Gordon, Martin / Herbert, John M / Krylov, Anna I

The Journal of chemical physics

2021 Volume 155, Issue 8, Page(s) 84801

Abstract: This article summarizes technical advances contained in the fifth major release of the Q-Chem ... of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and ... variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools ...

Abstract	This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange-correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear-electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an "open teamware" model and an increasingly modular design.
Language	English
Publishing date	2021-10-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	3113-6
ISSN	1089-7690 ; 0021-9606
ISSN (online)	1089-7690
ISSN	0021-9606
DOI	10.1063/5.0055522
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Microwave photonic I/Q mixer for wideband frequency downconversion with serial electro-optical modulations.

Zhou, Yuewen / Kong, Jiayuan / Zhang, Fangzheng / Pan, Shilong

Optics letters

2023 Volume 49, Issue 1, Page(s) 65–68

Abstract: ... in-phase and quadrature (I/Q) mixer and investigate its performance for wideband frequency downconversion ... The proposed I/Q mixer uses two EO modulators and a programmable optical processor in a serially cascaded ...

Abstract	In this paper, we propose a serial electro-optical (EO)-modulation-based microwave photonic in-phase and quadrature (I/Q) mixer and investigate its performance for wideband frequency downconversion. The proposed I/Q mixer uses two EO modulators and a programmable optical processor in a serially cascaded structure, which ensures good phase stability and flexibility to achieve high-performance broadband frequency downconversion. A proof-of-concept experiment is carried out in which the frequency downconversion of the RF signals in the range from 10 to 40 GHz is demonstrated with an average image rejection ratio of 38.66 dB. The spurious-free dynamic range (SFDR) measured at around 15 GHz is 86 dBc·Hz
Language	English
Publishing date	2023-12-22
Publishing country	United States
Document type	Journal Article
ISSN	1539-4794
ISSN (online)	1539-4794
DOI	10.1364/OL.510130
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Article: High-Throughput Untargeted Serum Metabolomics Analysis of Hyperuricemia Patients by UPLC-Q-TOF/MS.

Qin, Nankun / Jiang, Yue / Shi, Wenjun / Wang, Liting / Kong, Lingbo / Wang, Chengxiang / Guo, Yuying / Zhang, Jiayu / Ma, Qun

Evidence-based complementary and alternative medicine : eCAM

2021 Volume 2021, Page(s) 5524772

Abstract: ... tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites ...

Abstract	Hyperuricemia (HUA) as a metabolic disease is closely associated with metabolic disorders. The etiology and pathogenesis of HUA are not fully understood, so there is no radical cure so far. Metabolomics, a specialized study of endogenous small molecule substances, has become a powerful tool for metabolic pathway analysis of selected differential metabolites, which is helpful for initially revealing possible development mechanisms of various human diseases. Twenty HUA patients and 20 healthy individuals participated in the experiment, and ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites. The statistical techniques used were principal component analysis and orthogonal partial least-squares discriminant analysis. The differences in metabolomics results of samples after pretreatment with different solvents were compared, 38, 20, 26, 28, 33, 50, and 40 potential differential metabolites were found, respectively, in HUA patient samples, and each group involved different metabolic pathways. Repetitive metabolites were removed, 138 differential metabolites in HUA serum were integrated for analysis, and the human body was affected by 7 metabolic pathways of glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and
Language	English
Publishing date	2021-06-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2021/5524772
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: [Chemical constituents and anti-liver fibrosis mechanism of Meconopsis quintuplinervia based on UPLC-Q-Exactive-MS/MS and network pharmacology].

Kong, Yuan-Lin / Zhang, Jian-Guang / Su, Hong-Na / LA, Mu-Jia / Lan, Jian-Long / Yang, Zheng-Ming / Ma, Quan / Huang, Yan-Fei / Liu, Yuan

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

2022 Volume 47, Issue 22, Page(s) 6097–6116

Abstract: In this study, UPLC-Q-Exactive-MS/MS was used to rapidly analyze the chemical constituents ...

Abstract	In this study, UPLC-Q-Exactive-MS/MS was used to rapidly analyze the chemical constituents of Meconopsis quintupli-nervia, and the anti-liver fibrosis mechanism of M. quintuplinervia was preliminarily analyzed by network pharmacology, molecular docking, and cell experiments. The chemical constituents of M. quintuplinervia were identified according to the information of MS~1 and MS~2, as well as the data in the literature and databases. SwissTargetPrediction and TargetNet were used to predict the potential targets. The targets related to liver fibrosis were collected from GeneCards and OMIM. The protein-protein interaction(PPI) network was constructed by STRING. Cytoscape 3.6.1 was used to construct and analyze the "constituent-target-disease" network to obtain key targets and their corresponding constituents in the network. DAVID 6.8 was used for GO analysis and KEGG signaling pathway enrichment analysis. Finally, the preliminary verification was carried out by molecular docking and cell experiments. As a result, 106 chemical constituents were identified from M. quintuplinervia, including 66 flavonoids, 16 alkaloids, 18 phenolic acids, 1 anthocyanin, and 5 other constituents. Among them, 3 constituents were identified as potential new compounds, and 59 constituents were reported in M. quintuplinervia for the first time. Network pharmacology analysis showed that M. quintuplinervia presumably acted on AKT1, SRC, JUN, EGFR, STAT3, HSP90 AA1, MAPK3, and other core targets through luteolin, isorhamnetin, quercetin, apigenin, kaempferide, amurine, 2-methylflavinantine, allocryptopine, the multi and other active compounds, thereby regulating the PI3 K/AKT signaling pathway, pathways in cancer, proteoglycans in cancer, FoxO signaling pathway, and other pathways to exert anti-liver fibrosis effects. M. quintuplinervia extract(MQE) could significantly down-regulate PI3 K and AKT protein levels in the HSC-T6 cell model induced by TGF-β1, suggesting that MQE may have the ability to regulate the PI3 K/AKT signaling pathway. The findings of this study indicated that the anti-liver fibrosis effect of M. quintuplinervia had multi-constituent, multi-target, and multi-pathway characteristics, which may provide a scientific basis for the research on the pharmacodynamic materials, action mechanism, and quality markers of M. quintupli-nervia.
Language	Chinese
Publishing date	2022-12-05
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	1004649-5
ISSN	1001-5302 ; 0254-0029
ISSN	1001-5302 ; 0254-0029
DOI	10.19540/j.cnki.cjcmm.20220917.201
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Book ; Online: Tensor Q-Rank

Kong, Hao / Lu, Canyi / Lin, Zhouchen

New Data Dependent Definition of Tensor Rank

2019

Abstract: ... definition of data dependent tensor rank named \textit{tensor Q-rank} by a learnable orthogonal matrix ... mathbf{Q}$, and further introduce a unified data dependent low rank tensor recovery model. According ... to the low rank hypothesis, we introduce two explainable selection method of $\mathbf{Q}$, under ...

Abstract	Recently, the \textit{Tensor Nuclear Norm~(TNN)} regularization based on t-SVD has been widely used in various low tubal-rank tensor recovery tasks. However, these models usually require smooth change of data along the third dimension to ensure their low rank structures. In this paper, we propose a new definition of data dependent tensor rank named \textit{tensor Q-rank} by a learnable orthogonal matrix $\mathbf{Q}$, and further introduce a unified data dependent low rank tensor recovery model. According to the low rank hypothesis, we introduce two explainable selection method of $\mathbf{Q}$, under which the data tensor may have a more significant low tensor Q-rank structure than that of low tubal-rank structure. Specifically, maximizing the variance of singular value distribution leads to Variance Maximization Tensor Q-Nuclear norm~(VMTQN), while minimizing the value of nuclear norm through manifold optimization leads to Manifold Optimization Tensor Q-Nuclear norm~(MOTQN). Moreover, we apply these two models to the low rank tensor completion problem, and then give an effective algorithm and briefly analyze why our method works better than TNN based methods in the case of complex data with low sampling rate. Finally, experimental results on real-world datasets demonstrate the superiority of our proposed model in the tensor completion problem with respect to other tensor rank regularization models.
Keywords	Computer Science - Machine Learning ; Statistics - Machine Learning
Subject code	518
Publishing date	2019-10-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: UPLC-Q TOF-MS-Based metabolomics and anti-myocardial ischemia activity of Dioscoreae Nipponicae Rhizoma from different geographical origins.

Yang, Xiao-Fang / Miao, Yu / Yang, Da-Wei / Kong, Ren / Yuan, Bo / Quan, Jian-Ye / Bu, Wei

Journal of pharmaceutical and biomedical analysis

2023 Volume 234, Page(s) 115551

Abstract: ... liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q TOF-MS) was used to determine ... free fatty acids, and organic acids, were tentatively identified based on UPLC-Q TOF-MS fragmentation pathways and ... of the target protein. The findings signified that UPLC-Q TOF-MS metabolomics coupled with molecular docking is ...

Abstract	The dried rhizome of Dioscorea nipponica Makino ("Chuanshanlong" in Chinese) is a medicinal herb with multiple major producing areas. The main objective of this study was the comparative profiling of Dioscoreae Nipponicae Rhizoma (DNR) from various geographical origins. A hypoxia/reoxygenation-induced H9c2 cell injury model was established, and the antimyocardial ischemia activity of DNR samples from different origins was detected using the cell counting kit-8 (CCK-8) method. The result showed that the antimyocardial ischemia potential of DNR samples from the Heilongjiang province was higher than that of the other studied samples. Subsequently, a plant metabolomics technique utilizing ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q TOF-MS) was used to determine the differences in DNR samples from various geographical origins. Forty compounds, including steroidal saponins, free fatty acids, and organic acids, were tentatively identified based on UPLC-Q TOF-MS fragmentation pathways and via comparison with available reference standards. Partial least squares discriminant analysis was performed to estimate the differences in DNR samples from different origins. Five compounds were significantly up-regulated and correlated with antimyocardial ischemia in DNR samples from Heilongjiang province. Molecular docking was used to discern the interactions of key markers with the active sites of the target protein. The findings signified that UPLC-Q TOF-MS metabolomics coupled with molecular docking is a powerful tool to rapidly identify the quality control characteristics of DNR samples and their products. The research provides a direction for the rational utilization of DNR.
MeSH term(s)	Rhizome/chemistry ; Molecular Docking Simulation ; Metabolomics ; Mass Spectrometry/methods ; Dioscorea ; Chromatography, High Pressure Liquid/methods
Language	English
Publishing date	2023-07-01
Publishing country	England
Document type	Journal Article
ZDB-ID	604917-5
ISSN	1873-264X ; 0731-7085
ISSN (online)	1873-264X
ISSN	0731-7085
DOI	10.1016/j.jpba.2023.115551
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Article: Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing.

Ma, Dandan / Kong, Dequan / Chen, Xiaowei / Zhang, Lingyu / Yuan, Mingrun

Frontiers in neurorobotics

2022 Volume 16, Page(s) 981390

Abstract: ... In this paper, we propose a novel location privacy protection based on the Q-learning particle swarm ... tasks, and protects users' location privacy. The strategy uses Q-learning to continuously combine ... The Q-learning method is improved by particle swarm optimization algorithm, which improves ...

Abstract	In the recent years, with the rapid development of science and technology, robot location-based service (RLBS) has become the main application service on mobile intelligent devices. When people use location services, it generates a large amount of location data with real location information. If a malicious third party gets this location information, it will cause the risk of location-related privacy disclosure for users. The wide application of crowdsensing service has brought about the leakage of personal privacy. However, the existing privacy protection strategies cannot adapt to the crowdsensing environment. In this paper, we propose a novel location privacy protection based on the Q-learning particle swarm optimization algorithm in mobile crowdsensing. By generalizing tasks, this new algorithm makes the attacker unable to distinguish the specific tasks completed by users, cuts off the association between users and tasks, and protects users' location privacy. The strategy uses Q-learning to continuously combine different confounding tasks and train a confounding task scheme that can output the lowest rejection rate. The Q-learning method is improved by particle swarm optimization algorithm, which improves the optimization ability of the method. Experimental results show that this scheme has good performance in privacy budget error, availability, and cloud timeliness and greatly improves the security of user location data. In terms of inhibition ratio, the value is close to the optimal value.
Language	English
Publishing date	2022-09-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2453002-5
ISSN	1662-5218
ISSN	1662-5218
DOI	10.3389/fnbot.2022.981390
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Book ; Online: Fast Extraction of Word Embedding from Q-contexts

Kong, Junsheng / Li, Weizhao / Liu, Zeyi / Liao, Ben / Qiu, Jiezhong / Hsieh, Chang-Yu / Cai, Yi / Zhang, Shengyu

2021

Abstract: ... existing methods. In this work, we show that with merely a small fraction of contexts (Q-contexts)which are ... as a sampling state, thus, Q-contexts can be fast constructed. Furthermore, we present an efficient and ...

Abstract	The notion of word embedding plays a fundamental role in natural language processing (NLP). However, pre-training word embedding for very large-scale vocabulary is computationally challenging for most existing methods. In this work, we show that with merely a small fraction of contexts (Q-contexts)which are typical in the whole corpus (and their mutual information with words), one can construct high-quality word embedding with negligible errors. Mutual information between contexts and words can be encoded canonically as a sampling state, thus, Q-contexts can be fast constructed. Furthermore, we present an efficient and effective WEQ method, which is capable of extracting word embedding directly from these typical contexts. In practical scenarios, our algorithm runs 11$\sim$13 times faster than well-established methods. By comparing with well-known methods such as matrix factorization, word2vec, GloVeand fasttext, we demonstrate that our method achieves comparable performance on a variety of downstream NLP tasks, and in the meanwhile maintains run-time and resource advantages over all these baselines. Comment: Accepted by CIKM 2021
Keywords	Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
Publishing date	2021-09-15
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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