检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Peled, Shlomit Ryan, Shawn D. Heidenreich, Sebastian Bär, Markus Ariel, Gil Be’er, Avraham Zuckerberg Institute for Water Research Jacob Blaustein Institutes for Desert Research Ben-Gurion University of the Negev Sede Boqer Campus Midreshet Ben-Gurion84990 Israel Department of Mathematics and Statistics Cleveland State University ClevelandOH United States Center for Applied Data Analysis and Modeling Cleveland State University ClevelandOH United States Department of Mathematical Modelling and Data Analysis Physikalisch-Technische Bundesanstalt Braunschweig und Berlin Abbestrasse 2-12 BerlinD-10587 Germany Department of Mathematics Bar-Ilan University Ramat Gan52000 Israel Department of Physics Ben-Gurion University of the Negev Beer-Sheva84105 Israel

Heterogeneous systems of active matter exhibit a range of complex emergent dynamical patterns. In particular, it is difficult to predict the properties of the mixed system based on its constituents. These considerations are particularly significant for understanding realistic bacterial swarms, which typically develop heterogeneities even when grown from a single cell. Here, mixed swarms of cells with different aspect ratios are studied both experimentally and in simulations. In contrast with previous theory, there is no macroscopic phase segregation. However, locally, long cells act as nucleation cites, around which aggregates of short, rapidly moving cells can form, resulting in enhanced swarming speeds. On the other hand, high fractions of long cells form a bottle-neck for efficient swarming. Our results suggest a new physical advantage for the spontaneous heterogeneity of bacterial swarm populations. Copyright © 2020, The Authors. All rights reserved.

关键词： Cells

来源：评论

学校读者我要写书评

暂无评论

Correction to: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

引用

BMC genomics 2020年第1期21卷 384页

作者： Alemu Takele Assefa Jo Vandesompele Olivier Thas Department of Data Analysis and Mathematical Modeling Ghent University 9000 Ghent Belgium. alemutakele.assefa@UGent.be. Department of Biomolecular Medicine Ghent University 9000 Ghent Belgium. Cancer Research Institute Ghent Ghent University Ghent Belgium. Center for Medical Genetics Ghent University Ghent Belgium. Department of Data Analysis and Mathematical Modeling Ghent University 9000 Ghent Belgium. National Institute for Applied Statistics Research Australia (NIASRA) University of Wollongong Wollongong Australia. Data Science Institute I-BioStat Hasselt University Hasselt Belgium.

An amendment to this paper has been published and can be accessed via the original article.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Apollonian metric, uniformity and gromov hyperbolicity

arXiv

引用

arXiv 2018年

作者： Li, Yaxiang Vuorinen, Matti Zhou, Qingshan Department of Mathematics Hunan First Normal University Changsha Hunan410205 China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha University of Science and Technology ChangshaHunan410114 China Department of Mathematics and Statistics University of Turku FIN Turku20014 Finland School of Mathematics and Big Data Foshan University Foshan Guangdong528000 China

The main purpose of this paper is to investigate the properties of a mapping which is required to be roughly bilipschitz with respect to the Apollonian metric (roughly Apollonian bilipschitz) of its domain. We prove that under these mappings the uniformity, φ-uniformity and δ-hyperbolicity (in the sense of Gromov with respect to quasihyperbolic metric) of proper domains of Rnare invariant. As applications, we give four equivalent conditions for a quasiconformal mapping which is defined on a uniform domain to be roughly Apollonian bilipschitz, and we conclude that φ-uniformity is invariant under quasimöbius mappings. Copyright © 2018, The Authors. All rights reserved.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

引用

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

来源：评论

学校读者我要写书评

暂无评论

Optimized spectral estimation for nonlinear synchronizing systems

引用

Physical Review E 2014年第3期89卷 032912-032912页

作者： Linda Sommerlade Malenka Mader Wolfgang Mader Jens Timmer Marco Thiel Celso Grebogi Björn Schelter Institute for Complex Systems and Mathematical Biology University of Aberdeen Aberdeen AB24 3UE United Kingdom Department of Physics University of Freiburg Hermann-Herder-Strasse 3 79104 Freiburg Germany Freiburg Center for Data Analysis and Modeling (FDM) University of Freiburg Eckerstrasse 1 79104 Freiburg Germany Freiburg Institute for Advanced Studies (FRIAS) University of Freiburg Albertstrasse 19 79104 Freiburg Germany Hospital for Neuropaediatrics and Muscular Diseases University Medical Center of Freiburg Germany

In many fields of research nonlinear dynamical systems are investigated. When more than one process is measured, besides the distinct properties of the individual processes, their interactions are of interest. Often linear methods such as coherence are used for the analysis. The estimation of coherence can lead to false conclusions when applied without fulfilling several key assumptions. We introduce a data driven method to optimize the choice of the parameters for spectral estimation. Its applicability is demonstrated based on analytical calculations and exemplified in a simulation study. We complete our investigation with an application to nonlinear tremor signals in Parkinson's disease. In particular, we analyze electroencephalogram and electromyogram data.

关键词： COHERENT states PARKINSON'S disease ELECTROENCEPHALOGRAPHY SYNCHRONIZATION DYNAMICAL systems SPECTRUM analysis TREMOR

来源：评论

学校读者我要写书评

暂无评论

Statistical evaluation of forecasts

引用

Physical Review E 2014年第2期90卷 022133-022133页

作者： Malenka Mader Wolfgang Mader Bruce J. Gluckman Jens Timmer Björn Schelter Department of Neuropediatrics and Muscular Disease University Medical Center of Freiburg Freiburg Germany Freiburg Center for Data Analysis and Modeling (FDM) University of Freiburg Freiburg Germany Institute for Physics University of Freiburg Freiburg Germany Center for Neural Engineering Pennsylvania State University State College Pennsylvania 16801 USA Department of Engineering Science and Mechanics Pennsylvania State University State College Pennsylvania 16801 USA Department of Neurosurgery Pennsylvania State University Hershey Pennsylvania 17033 USA Department of Biomedical Engineering Pennsylvania State University State College Pennsylvania 16801 USA BIOSS Center for Biological Signalling Studies University of Freiburg Freiburg Germany Institute for Complex Systems and Mathematical Biology University of Aberdeen Aberdeen UK

Reliable forecasts of extreme but rare events, such as earthquakes, financial crashes, and epileptic seizures, would render interventions and precautions possible. Therefore, forecasting methods have been developed which intend to raise an alarm if an extreme event is about to occur. In order to statistically validate the performance of a prediction system, it must be compared to the performance of a random predictor, which raises alarms independent of the events. Such a random predictor can be obtained by bootstrapping or analytically. We propose an analytic statistical framework which, in contrast to conventional methods, allows for validating independently the sensitivity and specificity of a forecasting method. Moreover, our method accounts for the periods during which an event has to remain absent or occur after a respective forecast.

关键词： EARTHQUAKES FINANCIAL crises EPILEPSY BINOMIAL distribution CONTINGENCY tables

来源：评论

学校读者我要写书评

暂无评论

Statistical validation of event predictors: A comparative study based on the field of seizure prediction

引用

Physical Review E 2011年第6期83卷 066704-066704页

作者： Hinnerk Feldwisch-Drentrup Andreas Schulze-Bonhage Jens Timmer Björn Schelter Bernstein Center Freiburg (BCF) University of Freiburg Freiburg Germany Freiburg Center for Data Analysis and Modeling (FDM) University of Freiburg Freiburg Germany Department of Neurobiology and Biophysics Faculty of Biology University of Freiburg Freiburg Germany Freiburg Institute for Advanced Studies University of Freiburg Freiburg Germany Department of Physics University of Freiburg Freiburg Germany Epilepsy Center University Hospital of Freiburg Freiburg Germany Department of Clinical and Experimental Medicine Linköping University Linköping Sweden Institute for Complex Systems and Mathematical Biology SUPA University of Aberdeen Aberdeen United Kingdom

The prediction of events is of substantial interest in many research areas. To evaluate the performance of prediction methods, the statistical validation of these methods is of utmost importance. Here, we compare an analytical validation method to numerical approaches that are based on Monte Carlo simulations. The comparison is performed in the field of the prediction of epileptic seizures. In contrast to the analytical validation method, we found that for numerical validation methods insufficient but realistic sample sizes can lead to invalid high rates of false positive conclusions. Hence we outline necessary preconditions for sound statistical tests on above chance predictions.

关键词： EPILEPSY MONTE Carlo method PHYSICS MATTER -- Properties STATISTICS

来源：评论

学校读者我要写书评

暂无评论

Distinguishing Direct from Indirect Interactions in Oscillatory Networks with Multiple Time Scales

引用

Physical Review Letters 2010年第3期104卷 038701-038701页

作者： Jakob Nawrath M. Carmen Romano Marco Thiel István Z. Kiss Mahesh Wickramasinghe Jens Timmer Jürgen Kurths Björn Schelter Physics Department University of Freiburg Hermann-Herder Str. 3 79104 Freiburg Germany Center for Data Analysis and Modeling University of Freiburg Eckertstr. 1 79104 Freiburg Germany Institute for Complex Systems and Mathematical Biology University of Aberdeen Aberdeen AB24 3UE United Kingdom Institute of Medical Sciences Foresterhill University of Aberdeen Aberdeen AB25 2ZD United Kingdom Department of Chemistry Saint Louis University St. Louis Missouri 63103 USA Freiburg Institute for Advanced Studies Albertstr. 19 79104 Freiburg Germany Institute of Physics Humboldt University Berlin 12489 Berlin Germany Potsdam Institute for Climate Impact Research 14412 Potsdam Germany

We propose a method to infer the coupling structure in networks of nonlinear oscillatory systems with multiple time scales. The method of partial phase synchronization allows us to infer the coupling structure for coupled nonlinear oscillators with one well-defined time scale. The case of oscillators with multiple time scales has remained a challenge until now. Here, we introduce partial recurrence based synchronization analysis to tackle this challenge. We successfully apply the proposed method to model systems and experimental data from coupled electrochemical oscillators. The statistical significance of the results is evaluated based on a surrogate hypothesis test.

关键词： Time measurement

来源：评论

学校读者我要写书评

暂无评论

Bayesian approach to modelling of quasi-periodic intermittent demand

Bayesian approach to modelling of quasi-periodic intermitten...

引用

作者： Dolgui, Alexandre Pashkevich, Anatoly Pashkevich, Maxim Ecole de Mines de Saint Etienne 158 Cours Fauriel 42023 Saint Etienne France Robotic Laboratory Department of Automatic Control Belarusian State University of Informatics and Radioelectronics 6 P.Brovka St. Minsk 220027 Belarus Department of Mathematical Modeling and Data Analysis Belarusian State University Skarina Av. 4 Minsk 220050 Belarus

ISBN: (纸本)008045108X

The paper focuses on the stochastic modelling of the quasi-periodic intermittent demand patterns, which arise in the inventory management of the "slow moving items" such as service parts or high-priced capital goods. It is proposed a new stochastic model, which describes the demand patterns with essentially nonexponential distribution of the inter-arrival times. The model is based on generalized beta-binomial distribution and the Bayesian inference using the historical data array describing the demand repeatability within the time periods. For this model, there were derived explicit expressions for the forecast distributions, its moments and relevant Bayesian risk. The efficiency of the proposed approach is confirmed by computer simulation and an application example. Copyright © 2005 IFAC.

关键词： Stochastic models

来源：评论

学校读者我要写书评

暂无评论

BAYESIAN APPROACH TO MODELLING OF QUASI-PERIODIC INTERMITTENT DEMAND

引用

IFAC Proceedings Volumes 2005年第1期38卷 343-348页

作者： Alexandre Dolgui Anatoly Pashkevich Maxim Pashkevich Division for Industrial Engineering and Computer Sciences (G2I) Ecole de Mines de Saint Etienne 158 Cours Fauriel 42023 Saint Etienne France Robotic Laboratory Department of Automatic Control Belarusian State University of Informatics and Radioelectronics 6 P.Brovka St. Minsk 220027 Belarus Department of Mathematical Modeling and Data Analysis Belarusian State University Skarina Av. 4 Minsk 220050 Belarus

The paper focuses on the stochastic modelling of the quasi-periodic intermittent demand patterns, which arise in the inventory management of the “slow moving items” such as service parts or high-priced capital goods. It is proposed a new stochastic model, which describes the demand patterns with essentially non-exponential distribution of the inter-arrival times. The model is based on generalized beta-binomial distribution and the Bayesian inference using the historical data array describing the demand repeatability within the time periods. For this model, there were derived explicit expressions for the forecast distributions, its moments and relevant Bayesian risk. The efficiency of the proposed approach is confirmed by computer simulation and an application example.

关键词： inventory control demand modelling statistical inference parameter estimation prediction methods

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：