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Akademický článek

Rapid Cycling of Bacterial Particulate Organic Matter in the Upper Layer of the Western Pacific Warm Pool

Autor: Jinqiang Guo, Bu Zhou, Eric P. Achterberg, Huamao Yuan, Jinming Song, Liqin Duan, Xuegang Li

Publikováno v: Geophysical Research Letters, Vol 50, Iss 11, Pp n/a-n/a (2023)

Abstract Bacterial metabolism largely drives the sequestration of refractory organic matter in the ocean. However, a lack of understanding exists regarding the abundance and reactivity of bacterial particulate organic matter (POM). Here we report the

Externí odkaz: https://doaj.org/article/a0b1941d20b4401c9d9df3c4344009fa

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Automatic exploration of structural regularities in networks

Autor: Chen, Yi, Wang, Xiao-long, Xiang, Xin, Tang, Bu-zhou, Chen, Qing-cai, Yuan, Bo, Bu, Jun-zhao

Publikováno v: J. Stat. Mech. (2015) P10004

Complex networks provide a powerful mathematical representation of complex systems in nature and society. To understand complex networks, it is crucial to explore their internal structures, also called structural regularities. The task of network str

Externí odkaz: http://arxiv.org/abs/1403.0466

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Akademický článek

Outcomes of Different Ablation Approaches for Para-Hisian Accessory Pathway and Ablation Safety at Each Site

Autor: Jian-du Yang, Qi Sun, Xiao-gang Guo, Gong-bu Zhou, Xu Liu, Hui-qiang Wei, Hai-yang Xie, Jian Ma

Publikováno v: Frontiers in Cardiovascular Medicine, Vol 8 (2022)

BackgroundThis study describes the electrophysiologic characteristics of the para-hisian accessory pathway (AP), the outcome of different ablation approaches, and ablation safety at different sites.MethodA total of 120 patients diagnosed as para-hisi

Externí odkaz: https://doaj.org/article/944e6068f6bc45c196ddd52a6129c16b

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Overlapping community detection in signed networks

Autor: Chen, Yi, Wang, Xiao-long, Yuan, Bo, Tang, Bu-zhou

Publikováno v: J. Stat. Mech. (2014) P03021

Complex networks considering both positive and negative links have gained considerable attention during the past several years. Community detection is one of the main challenges for complex network analysis. Most of the existing algorithms for commun

Externí odkaz: http://arxiv.org/abs/1310.4023

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Akademický článek

Predictors and Long-Term Outcome of Ablation of Discrete Pre-potentials in Patients With Idiopathic Ventricular Arrhythmias Originating From the Aortic Sinuses of Valsalva

Autor: Hui-Qiang Wei, Xiao-Gang Guo, Gong-Bu Zhou, Qi Sun, Jian-Du Yang, Hai-Yang Xie, Jackson Liang, Shu Zhang, Shulin Wu, Jian Ma

Publikováno v: Frontiers in Cardiovascular Medicine, Vol 8 (2021)

Background: The predictability and long-term outcome of the discrete pre-potential (DPP) of idiopathic ventricular arrhythmias (VAs) arising from the aortic sinuses of Valsalva (ASV) have not been fully identified.Methods: Of 687 consecutive patients

Externí odkaz: https://doaj.org/article/10cc81a39d5447af9eb03749b7cfb7c7

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Testing high-dimensional mean vector with applications

Autor: Jin-Ting Zhang, Bu Zhou, Jia Guo

Publikováno v: Statistical Papers. 63:1105-1137

A centered $$L^2$$ -norm based test statistic is used for testing if a high-dimensional mean vector equals zero where the data dimension may be much larger than the sample size. Inspired by the fact that under some regularity conditions the asymptoti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bdbabce4c8fec37fce6f6de47b3661d
https://doi.org/10.1007/s00362-021-01270-z

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Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference approach

Autor: Jin-Ting Zhang, Jia Guo, Tianming Zhu, Bu Zhou

Publikováno v: Journal of Statistical Planning and Inference. 213:142-161

High-dimensional data are frequently encountered with the development of modern data collection techniques. Testing the equality of the mean vectors of two high-dimensional samples with possibly different covariance matrices is usually referred to as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7049c1bf113c1044fb554ce75ccd1e2
https://doi.org/10.1016/j.jspi.2020.11.008

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